feat(burst-detection): update analysis parameters
This commit is contained in:
@@ -0,0 +1,57 @@
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import dayjs from "dayjs";
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import {
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buildBurstDetectionRequest,
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createBurstDetectionAnalysisParametersState,
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parseScadaFrequencyMinutes,
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resolvePressureSamplingInterval,
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} from "./AnalysisParameters";
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describe("burst detection request", () => {
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it("requests the latest complete monitoring time by default", () => {
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const state = createBurstDetectionAnalysisParametersState();
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state.schemeName = " latest-case ";
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expect(buildBurstDetectionRequest(state, "fengyang")).toEqual({
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network: "fengyang",
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scheme_name: "latest-case",
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sampling_interval_minutes: 15,
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});
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expect(state.detectionMode).toBe("latest");
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expect(state.targetTime?.minute() % 15).toBe(0);
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});
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it("sends one target time for historical replay", () => {
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const targetTime = dayjs("2026-06-20T13:30:00+08:00");
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expect(
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buildBurstDetectionRequest(
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{
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schemeName: "history-case",
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detectionMode: "historical",
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targetTime,
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samplingIntervalMinutes: 30,
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samplingIntervalSource: "manual",
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},
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"fengyang",
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),
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).toEqual({
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network: "fengyang",
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scheme_name: "history-case",
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sampling_interval_minutes: 30,
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target_time: targetTime.toISOString(),
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});
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});
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it("uses the dominant pressure SCADA frequency as the editable default", () => {
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expect(parseScadaFrequencyMinutes("0:15:00")).toBe(15);
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expect(parseScadaFrequencyMinutes("1:00:00")).toBe(60);
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expect(
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resolvePressureSamplingInterval([
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{ type: "pressure", transmission_frequency: "0:15:00" },
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{ type: "pressure", transmission_frequency: "0:15:00" },
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{ type: "pressure", transmission_frequency: "0:30:00" },
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{ type: "pipe_flow", transmission_frequency: "1:00:00" },
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]),
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).toBe(15);
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});
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});
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@@ -1,19 +1,14 @@
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"use client";
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import React, { useMemo, useState, useCallback } from "react";
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import ExpandMoreIcon from "@mui/icons-material/ExpandMore";
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import RefreshIcon from "@mui/icons-material/Refresh";
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import React, { useEffect, useMemo, useState } from "react";
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import {
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Box,
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Button,
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CircularProgress,
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Collapse,
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FormControl,
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MenuItem,
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Select,
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TextField,
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Typography,
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IconButton,
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} from "@mui/material";
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import { AdapterDayjs } from "@mui/x-date-pickers/AdapterDayjs";
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import { DateTimePicker } from "@mui/x-date-pickers/DateTimePicker";
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@@ -23,7 +18,7 @@ import { useNotification } from "@refinedev/core";
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import dayjs, { Dayjs } from "dayjs";
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import "dayjs/locale/zh-cn";
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import { api } from "@/lib/api";
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import { NETWORK_NAME, config } from "@config/config";
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import { NETWORK_NAME } from "@config/config";
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import { useControllableObjectState } from "@components/olmap/core/useControllableState";
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import { BurstDetectionResult } from "./types";
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@@ -33,186 +28,149 @@ interface Props {
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onStateChange?: (state: BurstDetectionAnalysisParametersState) => void;
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}
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export interface SchemeItem {
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scheme_id: number;
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scheme_name: string;
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scheme_type: string;
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create_time: string;
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scheme_start_time: string;
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scheme_detail?: {
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modify_total_duration: number;
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};
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}
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export interface BurstDetectionAnalysisParametersState {
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schemeName: string;
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dataSource: "monitoring" | "simulation";
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schemes: SchemeItem[];
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selectedSchemeId: number | "";
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scadaStart: Dayjs | null;
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scadaEnd: Dayjs | null;
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mu: number;
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pointsPerDay: number;
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nEstimators: number;
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contaminationInput: string;
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advancedOpen: boolean;
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detectionMode: "latest" | "historical";
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targetTime: Dayjs | null;
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samplingIntervalMinutes: number;
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samplingIntervalSource: "metadata" | "manual";
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}
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interface ScadaInfoItem {
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type?: string;
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transmission_frequency?: string | number | null;
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}
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const currentQuarterHour = () => {
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const now = dayjs().second(0).millisecond(0);
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return now.minute(Math.floor(now.minute() / 15) * 15);
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};
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export const createBurstDetectionAnalysisParametersState =
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(): BurstDetectionAnalysisParametersState => ({
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schemeName: `Burst_Detection_${Date.now()}`,
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dataSource: "monitoring",
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schemes: [],
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selectedSchemeId: "",
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scadaStart: dayjs().subtract(3, "day"),
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scadaEnd: dayjs(),
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mu: 100,
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pointsPerDay: 96,
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nEstimators: 50,
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contaminationInput: "auto",
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advancedOpen: false,
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detectionMode: "latest",
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targetTime: currentQuarterHour(),
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samplingIntervalMinutes: 15,
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samplingIntervalSource: "metadata",
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});
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export const parseScadaFrequencyMinutes = (
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value: string | number | null | undefined,
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): number | null => {
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if (typeof value === "number") {
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return Number.isInteger(value) && value > 0 ? value : null;
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}
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if (!value) return null;
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const normalized = value.trim();
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const dayMatch = normalized.match(/^(\d+)\s+days?,\s*(.+)$/i);
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const days = dayMatch ? Number(dayMatch[1]) : 0;
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const timePart = dayMatch ? dayMatch[2] : normalized;
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const parts = timePart.split(":").map(Number);
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if (parts.length !== 3 || parts.some((part) => !Number.isFinite(part))) {
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return null;
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}
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const minutes = days * 1440 + parts[0] * 60 + parts[1] + parts[2] / 60;
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return Number.isInteger(minutes) && minutes > 0 ? minutes : null;
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};
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export const resolvePressureSamplingInterval = (items: ScadaInfoItem[]) => {
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const counts = new Map<number, number>();
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items
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.filter((item) => item.type?.toLowerCase() === "pressure")
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.forEach((item) => {
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const minutes = parseScadaFrequencyMinutes(item.transmission_frequency);
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if (minutes && 1440 % minutes === 0) {
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counts.set(minutes, (counts.get(minutes) ?? 0) + 1);
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}
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});
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return [...counts.entries()].sort(
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([minutesA, countA], [minutesB, countB]) =>
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countB - countA || minutesA - minutesB,
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)[0]?.[0] ?? 15;
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};
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export const buildBurstDetectionRequest = (
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parameters: BurstDetectionAnalysisParametersState,
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network: string,
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) => ({
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network,
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scheme_name: parameters.schemeName.trim(),
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sampling_interval_minutes: parameters.samplingIntervalMinutes,
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...(parameters.detectionMode === "historical" && parameters.targetTime
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? { target_time: parameters.targetTime.toISOString() }
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: {}),
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});
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const AnalysisParameters: React.FC<Props> = ({
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onResult,
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state,
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onStateChange,
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}) => {
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const { open } = useNotification();
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const [parametersState, setParametersState, setFormField] = useControllableObjectState(
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state,
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onStateChange,
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createBurstDetectionAnalysisParametersState(),
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);
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const [parametersState, setParametersState, setFormField] =
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useControllableObjectState(
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state,
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onStateChange,
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createBurstDetectionAnalysisParametersState(),
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);
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const {
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schemeName,
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dataSource,
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schemes,
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selectedSchemeId,
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scadaStart,
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scadaEnd,
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mu,
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pointsPerDay,
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nEstimators,
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contaminationInput,
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advancedOpen,
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detectionMode,
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targetTime,
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samplingIntervalMinutes,
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samplingIntervalSource,
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} = parametersState;
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const [schemeLoading, setSchemeLoading] = useState(false);
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const [running, setRunning] = useState(false);
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const isSimulationMode = dataSource === "simulation";
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const [frequencyLoading, setFrequencyLoading] = useState(false);
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const applySchemeTimeRange = useCallback((scheme: SchemeItem) => {
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const start = dayjs(scheme.scheme_start_time);
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const durationSeconds = scheme.scheme_detail?.modify_total_duration ?? 3600;
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const end = start.add(durationSeconds, "second");
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setParametersState((previous) => ({
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...previous,
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scadaStart: start,
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scadaEnd: end,
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}));
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}, [setParametersState]);
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const fetchSchemes = useCallback(
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async ({ force = false, notify = false }: { force?: boolean; notify?: boolean } = {}) => {
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if (schemeLoading || (!force && schemes.length > 0)) return;
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setSchemeLoading(true);
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try {
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const response = await api.get(`${config.BACKEND_URL}/api/v1/schemes`, {
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params: { network: NETWORK_NAME },
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});
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const burstSchemes = (response.data as SchemeItem[]).filter(
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(scheme) => scheme.scheme_type === "burst_analysis",
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).sort(
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(a, b) =>
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dayjs(b.create_time).valueOf() - dayjs(a.create_time).valueOf(),
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useEffect(() => {
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if (samplingIntervalSource !== "metadata") return;
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let active = true;
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setFrequencyLoading(true);
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api
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.get("/api/v1/getallscadainfo/", { params: { network: NETWORK_NAME } })
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.then((response) => {
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if (!active) return;
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const interval = resolvePressureSamplingInterval(
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response.data as ScadaInfoItem[],
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);
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setParametersState((previous) =>
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previous.samplingIntervalSource === "metadata"
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? { ...previous, samplingIntervalMinutes: interval }
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: previous,
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);
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})
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.catch(() => {
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// Keep the 15-minute fallback when SCADA metadata is unavailable.
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})
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.finally(() => {
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if (active) setFrequencyLoading(false);
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});
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return () => {
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active = false;
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};
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}, [samplingIntervalSource, setParametersState]);
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setFormField("schemes", burstSchemes);
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const samplingIntervalValid =
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Number.isInteger(samplingIntervalMinutes) &&
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samplingIntervalMinutes > 0 &&
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1440 % samplingIntervalMinutes === 0;
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if (selectedSchemeId) {
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const matchedScheme = burstSchemes.find(
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(scheme) => scheme.scheme_id === selectedSchemeId,
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);
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if (matchedScheme) {
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applySchemeTimeRange(matchedScheme);
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} else {
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setFormField("selectedSchemeId", "");
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}
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}
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if (notify) {
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open?.({
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type: "success",
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message: "方案列表已刷新",
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description: `当前可选爆管分析方案 ${burstSchemes.length} 个`,
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});
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}
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} catch (error: any) {
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open?.({
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type: "error",
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message: "刷新方案失败",
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description:
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error?.response?.data?.detail ?? error?.message ?? "无法获取爆管分析方案列表",
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});
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} finally {
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setSchemeLoading(false);
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}
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},
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[applySchemeTimeRange, open, schemeLoading, schemes.length, selectedSchemeId, setFormField],
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const isValid = useMemo(
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() =>
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schemeName.trim().length > 0 &&
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samplingIntervalValid &&
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(detectionMode === "latest" || Boolean(targetTime?.isValid())),
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[detectionMode, samplingIntervalValid, schemeName, targetTime],
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);
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const handleDataSourceChange = (value: "monitoring" | "simulation") => {
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setFormField("dataSource", value);
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if (value === "simulation") {
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void fetchSchemes();
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}
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};
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const handleSchemeSelect = (schemeId: number) => {
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setFormField("selectedSchemeId", schemeId);
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const scheme = schemes.find((item) => item.scheme_id === schemeId);
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if (scheme) {
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applySchemeTimeRange(scheme);
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}
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};
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const timeWindowValid = useMemo(() => {
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if (!scadaStart || !scadaEnd) return false;
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return scadaEnd.diff(scadaStart, "day", true) >= 2;
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}, [scadaEnd, scadaStart]);
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const contaminationValue = useMemo(() => {
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const normalized = contaminationInput.trim().toLowerCase();
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if (!normalized || normalized === "auto") {
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return "auto" as const;
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}
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const parsed = Number(normalized);
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if (!Number.isFinite(parsed) || parsed <= 0 || parsed >= 0.5) {
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return null;
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}
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return parsed;
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}, [contaminationInput]);
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const isValid =
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Boolean(scadaStart && scadaEnd) &&
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timeWindowValid &&
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Number.isFinite(mu) &&
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mu > 0 &&
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Number.isFinite(pointsPerDay) &&
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pointsPerDay > 0 &&
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Number.isFinite(nEstimators) &&
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nEstimators > 0 &&
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contaminationValue !== null &&
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(dataSource !== "simulation" || Boolean(selectedSchemeId));
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const handleRun = async () => {
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if (!isValid || !scadaStart || !scadaEnd || contaminationValue === null) {
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if (!isValid) {
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open?.({
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type: "error",
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message: "参数不完整",
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description: "请检查时间范围（至少2天）和高级参数是否填写正确。",
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description: "请输入方案名称，并检查历史目标时间。",
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});
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return;
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}
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@@ -222,50 +180,23 @@ const AnalysisParameters: React.FC<Props> = ({
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key: "burst-detection-analysis-progress",
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type: "progress",
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message: "正在执行爆管侦测",
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description: "正在读取数据并计算异常分数。",
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description: "正在读取目标时刻及前 14 天同刻基线。",
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undoableTimeout: 3,
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});
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try {
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const selectedScheme =
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dataSource === "simulation"
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? schemes.find((item) => item.scheme_id === selectedSchemeId)
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: undefined;
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const response = await api.post("/api/v1/burst-detection/detect/", {
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network: NETWORK_NAME,
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data_source: dataSource,
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scheme_name: schemeName.trim() || undefined,
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scada_start: scadaStart.toISOString(),
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scada_end: scadaEnd.toISOString(),
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mu,
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points_per_day: pointsPerDay,
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iforest_params: {
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n_estimators: nEstimators,
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contamination: contaminationValue,
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},
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simulation_scheme_name: selectedScheme?.scheme_name,
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simulation_scheme_type: selectedScheme?.scheme_type,
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});
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onResult({
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...(response.data as BurstDetectionResult),
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scheme_name: schemeName.trim() || (response.data as BurstDetectionResult).scheme_name,
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algorithm_params: {
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mu,
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points_per_day: pointsPerDay,
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iforest_params: {
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n_estimators: nEstimators,
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contamination: contaminationValue,
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},
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},
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});
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const response = await api.post(
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"/api/v1/burst-detection/detect/",
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buildBurstDetectionRequest(parametersState, NETWORK_NAME),
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);
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onResult(response.data as BurstDetectionResult);
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open?.({
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key: "burst-detection-analysis-success",
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type: "success",
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message: "爆管侦测完成",
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description: `共识别 ${response.data.summary?.anomaly_day_count ?? 0} 个异常日。`,
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description: response.data.summary?.burst_detected
|
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? "目标时刻存在异常信号，请优先复核相关测点。"
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: "目标时刻未发现爆管异常。",
|
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});
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} catch (error: any) {
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open?.({
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@@ -280,7 +211,7 @@ const AnalysisParameters: React.FC<Props> = ({
|
||||
};
|
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|
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return (
|
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<Box className="flex flex-col flex-1 min-h-0">
|
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<Box className="flex min-h-0 flex-1 flex-col">
|
||||
<Box className="flex flex-col gap-3">
|
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<Box>
|
||||
<Typography variant="subtitle2" className="mb-1 font-medium">
|
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@@ -297,211 +228,89 @@ const AnalysisParameters: React.FC<Props> = ({
|
||||
|
||||
<Box>
|
||||
<Typography variant="subtitle2" className="mb-1 font-medium">
|
||||
数据来源
|
||||
侦测方式
|
||||
</Typography>
|
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<FormControl fullWidth size="small">
|
||||
<Select
|
||||
value={dataSource}
|
||||
onChange={(e) => handleDataSourceChange(e.target.value as "monitoring" | "simulation")}
|
||||
value={detectionMode}
|
||||
onChange={(event) =>
|
||||
setFormField(
|
||||
"detectionMode",
|
||||
event.target.value as "latest" | "historical",
|
||||
)
|
||||
}
|
||||
>
|
||||
<MenuItem value="monitoring">监测数据</MenuItem>
|
||||
<MenuItem value="simulation">模拟方案</MenuItem>
|
||||
<MenuItem value="latest">检测最新数据</MenuItem>
|
||||
<MenuItem value="historical">历史时刻回放</MenuItem>
|
||||
</Select>
|
||||
</FormControl>
|
||||
</Box>
|
||||
|
||||
{isSimulationMode && (
|
||||
<Box>
|
||||
<Typography variant="subtitle2" className="mb-1 font-medium">
|
||||
选择爆管分析方案
|
||||
</Typography>
|
||||
<Box sx={{ display: "flex", alignItems: "center", gap: 1 }}>
|
||||
<FormControl fullWidth size="small">
|
||||
<Select
|
||||
value={selectedSchemeId}
|
||||
onChange={(e) => handleSchemeSelect(Number(e.target.value))}
|
||||
disabled={schemeLoading}
|
||||
displayEmpty
|
||||
>
|
||||
<MenuItem value="" disabled>
|
||||
请选择方案
|
||||
</MenuItem>
|
||||
{schemes.map((scheme) => (
|
||||
<MenuItem key={scheme.scheme_id} value={scheme.scheme_id}>
|
||||
{scheme.scheme_name}
|
||||
</MenuItem>
|
||||
))}
|
||||
</Select>
|
||||
</FormControl>
|
||||
<IconButton
|
||||
size="small"
|
||||
color="primary"
|
||||
onClick={() => void fetchSchemes({ force: true, notify: true })}
|
||||
disabled={schemeLoading}
|
||||
aria-label="刷新爆管分析方案"
|
||||
sx={{
|
||||
border: "1px solid",
|
||||
borderColor: "divider",
|
||||
borderRadius: 1,
|
||||
}}
|
||||
>
|
||||
{schemeLoading ? (
|
||||
<CircularProgress size={18} color="inherit" />
|
||||
) : (
|
||||
<RefreshIcon fontSize="small" />
|
||||
)}
|
||||
</IconButton>
|
||||
</Box>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
<LocalizationProvider
|
||||
dateAdapter={AdapterDayjs}
|
||||
adapterLocale="zh-cn"
|
||||
localeText={pickerZhCN.components.MuiLocalizationProvider.defaultProps.localeText}
|
||||
>
|
||||
<Box className="grid grid-cols-2 gap-2">
|
||||
<Box>
|
||||
<Typography variant="subtitle2" className="mb-1 font-medium">
|
||||
侦测开始时间
|
||||
</Typography>
|
||||
<DateTimePicker
|
||||
value={scadaStart}
|
||||
onChange={(value) => setFormField("scadaStart", value)}
|
||||
maxDateTime={scadaEnd ? scadaEnd.subtract(2, "day") : undefined}
|
||||
disabled={isSimulationMode}
|
||||
format="YYYY-MM-DD HH:mm"
|
||||
slotProps={{ textField: { size: "small", fullWidth: true } }}
|
||||
/>
|
||||
</Box>
|
||||
<Box>
|
||||
<Typography variant="subtitle2" className="mb-1 font-medium">
|
||||
侦测结束时间
|
||||
</Typography>
|
||||
<DateTimePicker
|
||||
value={scadaEnd}
|
||||
onChange={(value) => setFormField("scadaEnd", value)}
|
||||
minDateTime={scadaStart ? scadaStart.add(2, "day") : undefined}
|
||||
disabled={isSimulationMode}
|
||||
format="YYYY-MM-DD HH:mm"
|
||||
slotProps={{ textField: { size: "small", fullWidth: true } }}
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
</LocalizationProvider>
|
||||
|
||||
<Box className="rounded-lg border border-blue-100 bg-blue-50 px-3 py-2 text-sm text-blue-900">
|
||||
当前页面为展示版：手动触发一次侦测，展示异常日、最新测点排名和结果表格，不做定时轮询。
|
||||
</Box>
|
||||
|
||||
<Box
|
||||
sx={{
|
||||
border: "1px solid",
|
||||
borderColor: "grey.200",
|
||||
borderRadius: 1,
|
||||
overflow: "hidden",
|
||||
}}
|
||||
>
|
||||
<Box
|
||||
role="button"
|
||||
tabIndex={0}
|
||||
onClick={() => setFormField("advancedOpen", !advancedOpen)}
|
||||
onKeyDown={(event) => {
|
||||
if (event.key === "Enter" || event.key === " ") {
|
||||
setFormField("advancedOpen", !advancedOpen);
|
||||
}
|
||||
}}
|
||||
sx={{
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
justifyContent: "space-between",
|
||||
px: 1.25,
|
||||
py: 0.75,
|
||||
cursor: "pointer",
|
||||
backgroundColor: "transparent",
|
||||
"&:hover": { backgroundColor: "action.hover" },
|
||||
}}
|
||||
{detectionMode === "historical" ? (
|
||||
<LocalizationProvider
|
||||
dateAdapter={AdapterDayjs}
|
||||
adapterLocale="zh-cn"
|
||||
localeText={pickerZhCN.components.MuiLocalizationProvider.defaultProps.localeText}
|
||||
>
|
||||
<Typography variant="body2" color="text.secondary">
|
||||
高级参数
|
||||
</Typography>
|
||||
<ExpandMoreIcon
|
||||
sx={{
|
||||
transform: advancedOpen ? "rotate(180deg)" : "rotate(0deg)",
|
||||
transition: "transform 0.2s ease",
|
||||
}}
|
||||
/>
|
||||
</Box>
|
||||
<Collapse in={advancedOpen} timeout="auto" unmountOnExit>
|
||||
<Box
|
||||
sx={{
|
||||
px: 1.25,
|
||||
pt: 1.25,
|
||||
pb: 1.25,
|
||||
backgroundColor: "transparent",
|
||||
}}
|
||||
>
|
||||
<Box className="flex flex-col gap-3">
|
||||
<TextField
|
||||
type="number"
|
||||
label="频域截断系数"
|
||||
value={mu}
|
||||
onChange={(event) => setFormField("mu", Number(event.target.value))}
|
||||
size="small"
|
||||
fullWidth
|
||||
inputProps={{ min: 1 }}
|
||||
/>
|
||||
<TextField
|
||||
type="number"
|
||||
label="每日采样点数"
|
||||
value={pointsPerDay}
|
||||
onChange={(event) => setFormField("pointsPerDay", Number(event.target.value))}
|
||||
size="small"
|
||||
fullWidth
|
||||
inputProps={{ min: 1 }}
|
||||
/>
|
||||
<TextField
|
||||
type="number"
|
||||
label="孤立森林树数量"
|
||||
value={nEstimators}
|
||||
onChange={(event) => setFormField("nEstimators", Number(event.target.value))}
|
||||
size="small"
|
||||
fullWidth
|
||||
inputProps={{ min: 1 }}
|
||||
/>
|
||||
<TextField
|
||||
label="异常比例"
|
||||
value={contaminationInput}
|
||||
onChange={(event) => setFormField("contaminationInput", event.target.value)}
|
||||
size="small"
|
||||
fullWidth
|
||||
helperText="填写 auto 或 0~0.5 之间的小数。"
|
||||
error={contaminationValue === null}
|
||||
/>
|
||||
</Box>
|
||||
<Box>
|
||||
<Typography variant="subtitle2" className="mb-1 font-medium">
|
||||
目标时刻
|
||||
</Typography>
|
||||
<DateTimePicker
|
||||
value={targetTime}
|
||||
onChange={(value) => setFormField("targetTime", value)}
|
||||
maxDateTime={dayjs()}
|
||||
minutesStep={15}
|
||||
format="YYYY-MM-DD HH:mm"
|
||||
slotProps={{ textField: { size: "small", fullWidth: true } }}
|
||||
/>
|
||||
</Box>
|
||||
</Collapse>
|
||||
</Box>
|
||||
</LocalizationProvider>
|
||||
) : null}
|
||||
|
||||
<TextField
|
||||
type="number"
|
||||
label="采样间隔（分钟）"
|
||||
value={samplingIntervalMinutes}
|
||||
onChange={(event) => {
|
||||
setParametersState((previous) => ({
|
||||
...previous,
|
||||
samplingIntervalMinutes: Number(event.target.value),
|
||||
samplingIntervalSource: "manual",
|
||||
}));
|
||||
}}
|
||||
size="small"
|
||||
fullWidth
|
||||
error={!samplingIntervalValid}
|
||||
inputProps={{ min: 1, max: 1440, step: 1 }}
|
||||
helperText={
|
||||
samplingIntervalValid
|
||||
? `${frequencyLoading ? "正在读取 SCADA 频率" : samplingIntervalSource === "metadata" ? "默认取自压力 SCADA 频率" : "已手动设置"}，每天 ${1440 / samplingIntervalMinutes} 个采样点`
|
||||
: "请输入能整除 1440 分钟的正整数，例如 1、5、10、15、30 或 60。"
|
||||
}
|
||||
/>
|
||||
|
||||
{detectionMode === "latest" ? (
|
||||
<Box className="rounded-lg border border-blue-100 bg-blue-50 px-3 py-2 text-sm text-blue-900">
|
||||
系统自动读取目标时刻及前 14 天同一时刻数据。每天使用截至该时刻的
|
||||
24 小时压力序列提取扰动特征，仅判定目标时刻是否异常。
|
||||
</Box>
|
||||
) : null}
|
||||
<Typography variant="caption" color="text.secondary">
|
||||
当前口径：{samplingIntervalMinutes || "-"} 分钟采样、
|
||||
{samplingIntervalValid ? 1440 / samplingIntervalMinutes : "-"} 点/天、14
|
||||
个参考日；缺失数据的测点不会插值，将从本次分析中排除。
|
||||
</Typography>
|
||||
</Box>
|
||||
|
||||
<Box className="mt-auto pt-3 flex gap-2">
|
||||
<Box className="mt-auto flex gap-2 pt-3">
|
||||
<Button
|
||||
variant="outlined"
|
||||
fullWidth
|
||||
disabled={running}
|
||||
sx={{ textTransform: "none", fontWeight: 500 }}
|
||||
onClick={() => {
|
||||
setParametersState((previous) => ({
|
||||
...previous,
|
||||
schemeName: `Burst_Detection_${Date.now()}`,
|
||||
scadaStart: dayjs().subtract(3, "day"),
|
||||
scadaEnd: dayjs(),
|
||||
mu: 100,
|
||||
pointsPerDay: 96,
|
||||
nEstimators: 50,
|
||||
contaminationInput: "auto",
|
||||
}));
|
||||
}}
|
||||
onClick={() =>
|
||||
setParametersState(createBurstDetectionAnalysisParametersState())
|
||||
}
|
||||
>
|
||||
重置
|
||||
</Button>
|
||||
@@ -509,11 +318,13 @@ const AnalysisParameters: React.FC<Props> = ({
|
||||
variant="contained"
|
||||
fullWidth
|
||||
disabled={!isValid || running}
|
||||
onClick={handleRun}
|
||||
className="bg-blue-600 hover:bg-blue-700"
|
||||
sx={{ textTransform: "none", fontWeight: 500 }}
|
||||
onClick={() => void handleRun()}
|
||||
>
|
||||
{running ? <CircularProgress size={20} color="inherit" /> : "开始侦测"}
|
||||
{running
|
||||
? "侦测中..."
|
||||
: detectionMode === "latest"
|
||||
? "侦测最新数据"
|
||||
: "回放目标时刻"}
|
||||
</Button>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
@@ -5,23 +5,23 @@ import { Box, Button, Chip, Tooltip, Typography } from "@mui/material";
|
||||
import { DataGrid, GridColDef } from "@mui/x-data-grid";
|
||||
import { zhCN } from "@mui/x-data-grid/locales";
|
||||
import {
|
||||
CheckCircleOutline as CheckCircleIcon,
|
||||
ErrorOutline as ErrorOutlineIcon,
|
||||
FormatListBulleted,
|
||||
InfoOutlined as InfoOutlinedIcon,
|
||||
Room as RoomIcon,
|
||||
ShowChart as ShowChartIcon,
|
||||
CheckCircleOutline as CheckCircleIcon,
|
||||
ErrorOutline as ErrorOutlineIcon,
|
||||
} from "@mui/icons-material";
|
||||
import ReactECharts from "echarts-for-react";
|
||||
import dayjs from "dayjs";
|
||||
import { useMap } from "@components/olmap/core/MapComponent";
|
||||
import { queryFeaturesByIds } from "@/utils/mapQueryService";
|
||||
import { GeoJSON } from "ol/format";
|
||||
import Feature from "ol/Feature";
|
||||
import { GeoJSON } from "ol/format";
|
||||
import VectorLayer from "ol/layer/Vector";
|
||||
import VectorSource from "ol/source/Vector";
|
||||
import { Circle, Fill, Stroke, Style } from "ol/style";
|
||||
import { bbox, featureCollection } from "@turf/turf";
|
||||
import { useMap } from "@components/olmap/core/MapComponent";
|
||||
import { queryFeaturesByIds } from "@/utils/mapQueryService";
|
||||
import { BurstDetectionResult, BurstDetectionRow } from "./types";
|
||||
|
||||
export interface BurstDetectionResultsState {
|
||||
@@ -29,9 +29,7 @@ export interface BurstDetectionResultsState {
|
||||
}
|
||||
|
||||
export const createBurstDetectionResultsState =
|
||||
(): BurstDetectionResultsState => ({
|
||||
selectedDay: null,
|
||||
});
|
||||
(): BurstDetectionResultsState => ({ selectedDay: null });
|
||||
|
||||
interface Props {
|
||||
result: BurstDetectionResult | null;
|
||||
@@ -46,54 +44,33 @@ interface MetricCardProps {
|
||||
tone: "blue" | "orange" | "purple" | "green";
|
||||
}
|
||||
|
||||
const toneStyles: Record<
|
||||
MetricCardProps["tone"],
|
||||
{ bg: string; border: string; text: string; darkText: string }
|
||||
> = {
|
||||
blue: {
|
||||
bg: "from-blue-50 to-blue-100",
|
||||
border: "border-blue-200",
|
||||
text: "text-blue-700",
|
||||
darkText: "text-blue-900",
|
||||
},
|
||||
orange: {
|
||||
bg: "from-orange-50 to-orange-100",
|
||||
border: "border-orange-200",
|
||||
text: "text-orange-700",
|
||||
darkText: "text-orange-900",
|
||||
},
|
||||
purple: {
|
||||
bg: "from-purple-50 to-purple-100",
|
||||
border: "border-purple-200",
|
||||
text: "text-purple-700",
|
||||
darkText: "text-purple-900",
|
||||
},
|
||||
green: {
|
||||
bg: "from-green-50 to-green-100",
|
||||
border: "border-green-200",
|
||||
text: "text-green-700",
|
||||
darkText: "text-green-900",
|
||||
},
|
||||
const toneStyles: Record<MetricCardProps["tone"], string> = {
|
||||
blue: "border-blue-200 from-blue-50 to-blue-100 text-blue-900",
|
||||
orange: "border-orange-200 from-orange-50 to-orange-100 text-orange-900",
|
||||
purple: "border-purple-200 from-purple-50 to-purple-100 text-purple-900",
|
||||
green: "border-green-200 from-green-50 to-green-100 text-green-900",
|
||||
};
|
||||
|
||||
const MetricCard = ({ label, value, hint, tone }: MetricCardProps) => {
|
||||
const style = toneStyles[tone];
|
||||
return (
|
||||
<Box className={`rounded-lg border bg-gradient-to-br p-3 shadow-sm ${style.bg} ${style.border}`}>
|
||||
<Typography variant="caption" className={`mb-1 block text-xs font-semibold uppercase tracking-wide ${style.text}`}>
|
||||
{label}
|
||||
const MetricCard = ({ label, value, hint, tone }: MetricCardProps) => (
|
||||
<Box
|
||||
className={`rounded-lg border bg-gradient-to-br p-3 shadow-sm ${toneStyles[tone]}`}
|
||||
>
|
||||
<Typography variant="caption" className="mb-1 block font-semibold">
|
||||
{label}
|
||||
</Typography>
|
||||
<Typography variant="body2" className="font-bold">
|
||||
{value}
|
||||
</Typography>
|
||||
{hint ? (
|
||||
<Typography variant="caption" className="mt-0.5 block opacity-75">
|
||||
{hint}
|
||||
</Typography>
|
||||
<Typography variant="body2" className={`font-bold ${style.darkText}`}>
|
||||
{value}
|
||||
</Typography>
|
||||
{hint ? (
|
||||
<Typography variant="caption" className={`mt-0.5 block text-xs opacity-80 ${style.text}`}>
|
||||
{hint}
|
||||
</Typography>
|
||||
) : null}
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
) : null}
|
||||
</Box>
|
||||
);
|
||||
|
||||
const formatDateTime = (value?: string) =>
|
||||
value ? dayjs(value).format("YYYY-MM-DD HH:mm") : "-";
|
||||
|
||||
const EmptyState = () => (
|
||||
<Box className="flex h-full flex-col items-center justify-center bg-gray-50/50 p-6 text-center">
|
||||
@@ -104,42 +81,27 @@ const EmptyState = () => (
|
||||
等待侦测结果
|
||||
</Typography>
|
||||
<Typography variant="body2" className="max-w-xs text-gray-500">
|
||||
提交一次爆管侦测后，这里会展示异常天数、分数趋势、最新测点排名和结果表格。
|
||||
提交侦测后，这里会展示目标时刻状态、前 14 天参考分数和异常测点。
|
||||
</Typography>
|
||||
</Box>
|
||||
);
|
||||
|
||||
const getScoreLevel = (score: number) => {
|
||||
if (score <= -0.6) return { label: "高风险", color: "error" as const };
|
||||
if (score <= -0.2) return { label: "需关注", color: "warning" as const };
|
||||
return { label: "正常", color: "success" as const };
|
||||
};
|
||||
|
||||
const formatDateTime = (value?: string) => (value ? dayjs(value).format("YYYY-MM-DD HH:mm") : "-");
|
||||
|
||||
const DetectionResults: React.FC<Props> = ({
|
||||
result,
|
||||
state,
|
||||
onStateChange,
|
||||
}) => {
|
||||
const DetectionResults: React.FC<Props> = ({ result, state, onStateChange }) => {
|
||||
const map = useMap();
|
||||
const highlightLayerRef = useRef<VectorLayer<VectorSource> | null>(null);
|
||||
const [highlightFeatures, setHighlightFeatures] = useState<Feature[]>([]);
|
||||
const [internalResultsState, setInternalResultsState] =
|
||||
useState<BurstDetectionResultsState>(createBurstDetectionResultsState);
|
||||
const resultsState = state ?? internalResultsState;
|
||||
const selectedDay = resultsState.selectedDay;
|
||||
const setSelectedDay = (value: number | null) => {
|
||||
const nextState = { ...resultsState, selectedDay: value };
|
||||
if (state === undefined) {
|
||||
setInternalResultsState(nextState);
|
||||
}
|
||||
const [internalState, setInternalState] = useState<BurstDetectionResultsState>(
|
||||
createBurstDetectionResultsState,
|
||||
);
|
||||
const resultsState = state ?? internalState;
|
||||
const setSelectedDay = (selectedDay: number | null) => {
|
||||
const nextState = { selectedDay };
|
||||
if (state === undefined) setInternalState(nextState);
|
||||
onStateChange?.(nextState);
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
if (!map) return;
|
||||
|
||||
const layer = new VectorLayer({
|
||||
source: new VectorSource(),
|
||||
style: new Style({
|
||||
@@ -157,10 +119,8 @@ const DetectionResults: React.FC<Props> = ({
|
||||
queryable: false,
|
||||
},
|
||||
});
|
||||
|
||||
map.addLayer(layer);
|
||||
highlightLayerRef.current = layer;
|
||||
|
||||
return () => {
|
||||
highlightLayerRef.current = null;
|
||||
map.removeLayer(layer);
|
||||
@@ -174,58 +134,67 @@ const DetectionResults: React.FC<Props> = ({
|
||||
highlightFeatures.forEach((feature) => source.addFeature(feature));
|
||||
}, [highlightFeatures]);
|
||||
|
||||
const defaultSelectedDay = useMemo(
|
||||
() =>
|
||||
result?.summary?.most_anomalous_day ??
|
||||
result?.summary?.latest_day?.Day ??
|
||||
result?.rows[0]?.Day ??
|
||||
null,
|
||||
const sortedRows = useMemo(
|
||||
() => [...(result?.rows ?? [])].sort((a, b) => a.Day - b.Day),
|
||||
[result],
|
||||
);
|
||||
|
||||
const activeSelectedDay = selectedDay ?? defaultSelectedDay;
|
||||
const timestampForRow = (row: BurstDetectionRow) => {
|
||||
if (row.Timestamp) return row.Timestamp;
|
||||
const start = dayjs(result?.scada_window?.start);
|
||||
return start.isValid() ? start.add(row.Day, "day").toISOString() : undefined;
|
||||
};
|
||||
|
||||
const selectedRow = useMemo<BurstDetectionRow | null>(() => {
|
||||
if (!result || activeSelectedDay === null) return null;
|
||||
return result.rows.find((row) => row.Day === activeSelectedDay) ?? null;
|
||||
}, [activeSelectedDay, result]);
|
||||
|
||||
const scoreSeries = useMemo(
|
||||
() =>
|
||||
result?.rows.map((row) => ({
|
||||
value: [row.Day, Number(row.Score.toFixed(4))],
|
||||
const scoreThreshold = result?.summary.score_threshold ?? 0;
|
||||
const scoreSeries = sortedRows.map((row) => ({
|
||||
day: row.Day,
|
||||
value: [
|
||||
timestampForRow(row)
|
||||
? dayjs(timestampForRow(row)).format("MM-DD HH:mm")
|
||||
: `第 ${row.Day} 天`,
|
||||
Number(row.Score.toFixed(4)),
|
||||
],
|
||||
itemStyle: {
|
||||
color: row.IsBurst ? "#ef4444" : row.Score <= -0.2 ? "#f59e0b" : "#10b981",
|
||||
color:
|
||||
row.Role === "target"
|
||||
? row.IsBurst
|
||||
? "#ef4444"
|
||||
: "#2563eb"
|
||||
: "#94a3b8",
|
||||
},
|
||||
})) ?? [],
|
||||
[result],
|
||||
);
|
||||
symbolSize: row.Role === "target" ? 11 : 7,
|
||||
}));
|
||||
|
||||
const rankingSeries = useMemo(
|
||||
() =>
|
||||
[...(result?.summary?.latest_sensor_rankings ?? [])]
|
||||
.sort((a, b) => a.latest_high_frequency_value - b.latest_high_frequency_value)
|
||||
[...(result?.summary.latest_sensor_rankings ?? [])]
|
||||
.sort(
|
||||
(a, b) =>
|
||||
(a.standardized_deviation ?? a.latest_high_frequency_value) -
|
||||
(b.standardized_deviation ?? b.latest_high_frequency_value),
|
||||
)
|
||||
.map((item) => ({
|
||||
name: item.sensor_node,
|
||||
value: Number(item.latest_high_frequency_value.toFixed(4)),
|
||||
value: Number(
|
||||
(item.standardized_deviation ?? item.latest_high_frequency_value).toFixed(3),
|
||||
),
|
||||
})),
|
||||
[result],
|
||||
);
|
||||
|
||||
const locateSensors = async (sensorIds: string[]) => {
|
||||
if (!map || sensorIds.length === 0) return;
|
||||
|
||||
let features = await queryFeaturesByIds(sensorIds, "geo_junctions_mat");
|
||||
if (features.length === 0) {
|
||||
features = await queryFeaturesByIds(sensorIds, "geo_junctions");
|
||||
}
|
||||
if (features.length === 0) return;
|
||||
|
||||
setHighlightFeatures(features);
|
||||
|
||||
const geojsonFormat = new GeoJSON();
|
||||
const geojsonFeatures = features.map((feature) => geojsonFormat.writeFeatureObject(feature));
|
||||
// @ts-ignore turf typing with ol geojson objects
|
||||
const format = new GeoJSON();
|
||||
const geojsonFeatures = features.map((feature) =>
|
||||
format.writeFeatureObject(feature),
|
||||
);
|
||||
// @ts-ignore turf accepts OpenLayers GeoJSON feature objects
|
||||
const extent = bbox(featureCollection(geojsonFeatures));
|
||||
map.getView().fit(extent, {
|
||||
maxZoom: 18,
|
||||
@@ -234,60 +203,50 @@ const DetectionResults: React.FC<Props> = ({
|
||||
});
|
||||
};
|
||||
|
||||
if (!result) {
|
||||
return <EmptyState />;
|
||||
}
|
||||
if (!result) return <EmptyState />;
|
||||
|
||||
const latestDay = result.summary?.latest_day;
|
||||
const latestLevel = latestDay ? getScoreLevel(latestDay.Score) : getScoreLevel(0);
|
||||
const mostAnomalousRow = result.rows.find((row) => row.Day === result.summary?.most_anomalous_day) ?? null;
|
||||
const mostAnomalousLevel = getScoreLevel(mostAnomalousRow?.Score ?? 0);
|
||||
const targetRow = sortedRows.find((row) => row.Role === "target") ?? sortedRows.at(-1);
|
||||
const isBurstDetected = result.summary.burst_detected;
|
||||
const targetRank = result.summary.target_rank;
|
||||
const excludedCount = result.data_quality?.excluded_sensors.length ?? 0;
|
||||
|
||||
const chartOption = {
|
||||
tooltip: {
|
||||
trigger: "axis",
|
||||
formatter: (params: Array<{ data: { value: [number, number] } }>) => {
|
||||
const point = params[0]?.data?.value;
|
||||
if (!point) return "-";
|
||||
return `侦测日第 ${point[0]} 天<br/>异常分数：${point[1]}`;
|
||||
formatter: (params: Array<{ data: { day: number; value: [string, number] } }>) => {
|
||||
const data = params[0]?.data;
|
||||
return data
|
||||
? `${data.value[0]}<br/>${data.day === 15 ? "目标时刻" : "参考日"}<br/>异常分数：${data.value[1]}`
|
||||
: "-";
|
||||
},
|
||||
},
|
||||
grid: { top: 30, left: 40, right: 20, bottom: 35 },
|
||||
grid: { top: 30, left: 48, right: 20, bottom: 48 },
|
||||
xAxis: {
|
||||
type: "category",
|
||||
name: "侦测日",
|
||||
data: result.rows.map((row) => row.Day),
|
||||
axisLabel: { fontSize: 10 },
|
||||
},
|
||||
yAxis: {
|
||||
type: "value",
|
||||
name: "异常分数",
|
||||
axisLabel: { fontSize: 10 },
|
||||
name: "同刻日期",
|
||||
boundaryGap: false,
|
||||
data: scoreSeries.map((item) => item.value[0]),
|
||||
axisLabel: { fontSize: 10, interval: 2, rotate: 25 },
|
||||
},
|
||||
yAxis: { type: "value", name: "异常分数", axisLabel: { fontSize: 10 } },
|
||||
series: [
|
||||
{
|
||||
type: "line",
|
||||
smooth: true,
|
||||
symbolSize: 8,
|
||||
data: scoreSeries,
|
||||
lineStyle: { color: "#2563eb", width: 2 },
|
||||
lineStyle: { color: "#94a3b8", width: 2 },
|
||||
markLine: {
|
||||
symbol: "none",
|
||||
lineStyle: { type: "dashed", color: "#94a3b8" },
|
||||
data: [{ yAxis: 0 }],
|
||||
lineStyle: { type: "dashed", color: "#ef4444" },
|
||||
data: [{ yAxis: scoreThreshold, name: "报警阈值" }],
|
||||
},
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
const rankingOption = {
|
||||
tooltip: {
|
||||
trigger: "axis",
|
||||
axisPointer: { type: "shadow" },
|
||||
},
|
||||
grid: { top: 20, left: 70, right: 20, bottom: 20 },
|
||||
xAxis: { type: "value", axisLabel: { fontSize: 10 } },
|
||||
tooltip: { trigger: "axis", axisPointer: { type: "shadow" } },
|
||||
grid: { top: 12, left: 82, right: 20, bottom: 25 },
|
||||
xAxis: { type: "value", name: "标准化偏离", axisLabel: { fontSize: 10 } },
|
||||
yAxis: {
|
||||
type: "category",
|
||||
data: rankingSeries.map((item) => item.name),
|
||||
@@ -298,9 +257,7 @@ const DetectionResults: React.FC<Props> = ({
|
||||
type: "bar",
|
||||
data: rankingSeries.map((item) => ({
|
||||
value: item.value,
|
||||
itemStyle: {
|
||||
color: item.value <= -0.6 ? "#ef4444" : item.value <= -0.2 ? "#f59e0b" : "#10b981",
|
||||
},
|
||||
itemStyle: { color: item.value < 0 ? "#ef4444" : "#f59e0b" },
|
||||
})),
|
||||
barWidth: 14,
|
||||
},
|
||||
@@ -309,323 +266,176 @@ const DetectionResults: React.FC<Props> = ({
|
||||
|
||||
const columns: GridColDef[] = [
|
||||
{
|
||||
field: "Day",
|
||||
headerName: "侦测日",
|
||||
width: 96,
|
||||
valueFormatter: (value?: number) => (typeof value === "number" ? `第 ${value} 天` : "-"),
|
||||
field: "Timestamp",
|
||||
headerName: "同刻日期",
|
||||
minWidth: 145,
|
||||
flex: 1,
|
||||
valueGetter: (_value, row) => formatDateTime(timestampForRow(row)),
|
||||
},
|
||||
{
|
||||
field: "Role",
|
||||
headerName: "角色",
|
||||
width: 90,
|
||||
valueFormatter: (value?: string) => (value === "target" ? "目标" : "参考"),
|
||||
},
|
||||
{
|
||||
field: "Score",
|
||||
headerName: "异常分数",
|
||||
width: 120,
|
||||
valueFormatter: (value?: number) => (typeof value === "number" ? value.toFixed(4) : "-"),
|
||||
width: 110,
|
||||
valueFormatter: (value?: number) =>
|
||||
typeof value === "number" ? value.toFixed(4) : "-",
|
||||
},
|
||||
{
|
||||
field: "IsBurst",
|
||||
headerName: "判定结果",
|
||||
width: 120,
|
||||
renderCell: ({ value }) => {
|
||||
const level = value ? { label: "爆管异常", color: "error" as const } : { label: "正常", color: "success" as const };
|
||||
return <Chip size="small" label={level.label} color={level.color} variant="outlined" />;
|
||||
},
|
||||
headerName: "目标判定",
|
||||
width: 110,
|
||||
renderCell: ({ value, row }) =>
|
||||
row.Role === "target" || row.Day === result.day_count ? (
|
||||
<Chip
|
||||
size="small"
|
||||
label={value ? "爆管异常" : "正常"}
|
||||
color={value ? "error" : "success"}
|
||||
variant="outlined"
|
||||
/>
|
||||
) : (
|
||||
<Typography variant="caption" color="text.secondary">
|
||||
参考
|
||||
</Typography>
|
||||
),
|
||||
},
|
||||
];
|
||||
|
||||
const rows = result.rows.map((row) => ({ id: row.Day, ...row }));
|
||||
const tableRows = sortedRows.map((row) => ({ id: row.Day, ...row }));
|
||||
|
||||
return (
|
||||
<Box className="h-full overflow-auto p-1">
|
||||
<Box className="mb-4 space-y-3">
|
||||
{/* Status Banner */}
|
||||
<Box
|
||||
className={`rounded-lg px-4 py-3 flex items-center gap-3 border ${isBurstDetected
|
||||
? "bg-red-50 border-red-100 text-red-900"
|
||||
: "bg-green-50 border-green-100 text-green-900"
|
||||
}`}
|
||||
className={`flex items-center gap-3 rounded-lg border px-4 py-3 ${
|
||||
isBurstDetected
|
||||
? "border-red-100 bg-red-50 text-red-900"
|
||||
: "border-green-100 bg-green-50 text-green-900"
|
||||
}`}
|
||||
>
|
||||
{isBurstDetected ? (
|
||||
<ErrorOutlineIcon className="text-red-600" />
|
||||
) : (
|
||||
<CheckCircleIcon className="text-green-600" />
|
||||
)}
|
||||
{isBurstDetected ? <ErrorOutlineIcon /> : <CheckCircleIcon />}
|
||||
<Box className="flex-1">
|
||||
<Typography variant="subtitle2" className="font-bold">
|
||||
{isBurstDetected
|
||||
? `侦测到异常信号 (共 ${result.summary.anomaly_day_count} 天)`
|
||||
: "未侦测到爆管异常"}
|
||||
{isBurstDetected ? "目标时刻侦测到爆管异常" : "目标时刻未侦测到爆管异常"}
|
||||
</Typography>
|
||||
<Typography variant="caption" className="opacity-80">
|
||||
{isBurstDetected
|
||||
? "建议检查异常日期的压力波动情况"
|
||||
: "当前时间窗口内数据特征平稳，符合历史模式"}
|
||||
目标：{formatDateTime(result.target_time ?? result.summary.target_time)}；分数越低越异常
|
||||
</Typography>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Header */}
|
||||
<Box className="flex items-center justify-between px-1">
|
||||
<Box className="flex items-center gap-2">
|
||||
<Box className="h-4 w-1 rounded-full bg-blue-600" />
|
||||
<Typography variant="h6" className="truncate font-bold text-gray-900" sx={{ fontSize: "1.1rem" }}>
|
||||
{result.scheme_name || "爆管侦测结果"}
|
||||
</Typography>
|
||||
</Box>
|
||||
<Box className="flex items-center gap-2">
|
||||
{result.username ? (
|
||||
<Chip
|
||||
label={result.username}
|
||||
size="small"
|
||||
sx={{
|
||||
height: 24,
|
||||
backgroundColor: "#f3f4f6",
|
||||
color: "#4b5563",
|
||||
border: "none",
|
||||
fontWeight: 500,
|
||||
}}
|
||||
/>
|
||||
) : null}
|
||||
<Button
|
||||
size="small"
|
||||
variant="outlined"
|
||||
startIcon={<RoomIcon />}
|
||||
onClick={() =>
|
||||
locateSensors(result.summary.latest_sensor_rankings.map((item) => item.sensor_node).slice(0, 5))
|
||||
}
|
||||
sx={{
|
||||
height: 24,
|
||||
minWidth: 0,
|
||||
padding: "0 8px",
|
||||
borderColor: "#bfdbfe",
|
||||
color: "#2563eb",
|
||||
fontSize: "0.75rem",
|
||||
"&:hover": { borderColor: "#60a5fa", backgroundColor: "#eff6ff" },
|
||||
}}
|
||||
>
|
||||
定位
|
||||
</Button>
|
||||
</Box>
|
||||
<Box className="flex items-center justify-between gap-2 px-1">
|
||||
<Typography variant="h6" className="min-w-0 flex-1 font-bold text-gray-900">
|
||||
爆管侦测结果
|
||||
</Typography>
|
||||
<Button
|
||||
size="small"
|
||||
variant="outlined"
|
||||
startIcon={<RoomIcon />}
|
||||
onClick={() =>
|
||||
void locateSensors(
|
||||
result.summary.latest_sensor_rankings
|
||||
.slice(0, 5)
|
||||
.map((item) => item.sensor_node),
|
||||
)
|
||||
}
|
||||
sx={{ flexShrink: 0, whiteSpace: "nowrap" }}
|
||||
>
|
||||
定位异常测点
|
||||
</Button>
|
||||
</Box>
|
||||
|
||||
{/* Configuration Summary */}
|
||||
<Box className="flex flex-wrap items-center gap-x-4 gap-y-2 rounded-lg border border-gray-100 bg-gray-50/50 px-3 py-2 text-xs text-gray-600">
|
||||
<Box className="flex items-center gap-1.5">
|
||||
<Box className="h-1.5 w-1.5 rounded-full bg-blue-400" />
|
||||
<span className="font-medium text-gray-700">时间窗口：</span>
|
||||
<span className="font-mono text-gray-600">
|
||||
{formatDateTime(result.scada_window?.start)} ~ {formatDateTime(result.scada_window?.end)}
|
||||
</span>
|
||||
</Box>
|
||||
<Box className="flex items-center gap-1.5">
|
||||
<Box className="h-1.5 w-1.5 rounded-full bg-purple-400" />
|
||||
<span className="font-medium text-gray-700">数据来源：</span>
|
||||
<span className="text-gray-600">
|
||||
{(() => {
|
||||
const ds = result.data_source;
|
||||
const os = result.observed_source;
|
||||
if (ds === "simulation") return "模拟数据";
|
||||
if (ds === "monitoring") return "监测数据";
|
||||
if (os === "simulation_scheme_timerange") return "模拟数据";
|
||||
if (os === "backend_timerange") return "监测数据";
|
||||
return os || "-";
|
||||
})()}
|
||||
</span>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Metrics Grid */}
|
||||
<Box className="grid grid-cols-2 gap-3">
|
||||
<MetricCard
|
||||
label="异常天数"
|
||||
value={`${result.summary.anomaly_day_count} / ${result.day_count}`}
|
||||
hint={`异常日：${result.summary.anomaly_days.join(", ") || "无"}`}
|
||||
tone={result.summary.anomaly_day_count > 0 ? "orange" : "green"}
|
||||
label="目标异常分数"
|
||||
value={targetRow ? targetRow.Score.toFixed(4) : "-"}
|
||||
hint={`报警阈值 ≤ ${scoreThreshold.toFixed(2)}`}
|
||||
tone={isBurstDetected ? "orange" : "green"}
|
||||
/>
|
||||
<MetricCard
|
||||
label="最异常日"
|
||||
value={
|
||||
result.summary.burst_detected && result.summary.most_anomalous_day
|
||||
? `第 ${result.summary.most_anomalous_day} 天`
|
||||
: "无"
|
||||
}
|
||||
hint={
|
||||
result.summary.burst_detected && mostAnomalousRow
|
||||
? `分数 ${mostAnomalousRow.Score.toFixed(4)} · ${mostAnomalousLevel.label}`
|
||||
: "-"
|
||||
}
|
||||
label="目标异常排名"
|
||||
value={targetRank ? `${targetRank} / ${result.day_count}` : "-"}
|
||||
hint="在目标日与 14 个参考日中排序"
|
||||
tone="purple"
|
||||
/>
|
||||
<MetricCard
|
||||
label="最新状态"
|
||||
value={latestLevel.label}
|
||||
hint={latestDay ? `第 ${latestDay.Day} 天 · 分数 ${latestDay.Score.toFixed(4)}` : "-"}
|
||||
tone={latestLevel.color === "success" ? "green" : "orange"}
|
||||
label="参考区间"
|
||||
value={`${formatDateTime(result.reference_window?.start)} ~ ${formatDateTime(result.reference_window?.end)}`}
|
||||
hint={`${result.reference_window?.day_count ?? 14} 个同刻参考日`}
|
||||
tone="blue"
|
||||
/>
|
||||
<MetricCard
|
||||
label="测点 / 样本"
|
||||
value={`${result.sensor_nodes.length} / ${result.sample_count}`}
|
||||
hint={`每日采样点数：${result.points_per_day}`}
|
||||
label="有效 / 排除测点"
|
||||
value={`${result.sensor_nodes.length} / ${excludedCount}`}
|
||||
hint={`${result.sampling_interval_minutes ?? 15} 分钟采样，${result.points_per_day} 点/天`}
|
||||
tone="blue"
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Score Trend Chart */}
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 px-4 py-3">
|
||||
<Box className="flex items-center gap-2">
|
||||
<ShowChartIcon className="h-5 w-5 text-blue-600" />
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
异常分数趋势
|
||||
<ShowChartIcon className="text-blue-600" />
|
||||
<Typography variant="subtitle1" className="font-bold">
|
||||
15 天同刻异常分数
|
||||
</Typography>
|
||||
</Box>
|
||||
<Tooltip title="分数越小越异常，0 以下通常意味着更值得关注。">
|
||||
<Tooltip title="灰色点为前 14 天参考，最后一个点为本次目标。">
|
||||
<InfoOutlinedIcon fontSize="small" className="text-gray-400" />
|
||||
</Tooltip>
|
||||
</Box>
|
||||
<Box sx={{ height: 250, px: 1.5, py: 1 }}>
|
||||
<Box sx={{ height: 270, px: 1.5, py: 1 }}>
|
||||
<ReactECharts
|
||||
option={chartOption}
|
||||
style={{ height: "100%", width: "100%" }}
|
||||
onEvents={{
|
||||
click: (params: { data?: { value?: [number, number] } }) => {
|
||||
const day = params?.data?.value?.[0];
|
||||
if (typeof day === "number") {
|
||||
setSelectedDay(day);
|
||||
}
|
||||
},
|
||||
click: (params: { data?: { day?: number } }) =>
|
||||
setSelectedDay(params.data?.day ?? null),
|
||||
}}
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
{/* Selected Day Interpretation */}
|
||||
{/* <Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
选中日解读
|
||||
</Typography>
|
||||
{selectedRow ? (
|
||||
<Chip
|
||||
size="small"
|
||||
label={`第 ${selectedRow.Day} 天`}
|
||||
sx={{
|
||||
height: 22,
|
||||
backgroundColor: "rgba(37, 99, 235, 0.08)",
|
||||
color: "#2563eb",
|
||||
fontWeight: 600,
|
||||
fontSize: "0.75rem",
|
||||
border: "none",
|
||||
}}
|
||||
/>
|
||||
) : null}
|
||||
</Box>
|
||||
{selectedRow ? (
|
||||
<Box className="space-y-3 px-4 py-3">
|
||||
<Box className="flex items-center gap-2">
|
||||
<Chip
|
||||
label={getScoreLevel(selectedRow.Score).label}
|
||||
color={getScoreLevel(selectedRow.Score).color}
|
||||
variant="filled"
|
||||
/>
|
||||
</Box>
|
||||
<Typography variant="body2" className="text-gray-700">
|
||||
异常分数：<span className="font-semibold">{selectedRow.Score.toFixed(4)}</span>
|
||||
{rankingSeries.length > 0 ? (
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 px-4 py-3">
|
||||
<Typography variant="subtitle1" className="font-bold">
|
||||
目标测点压力偏离
|
||||
</Typography>
|
||||
<Typography variant="body2" className="text-gray-700">
|
||||
模型判定：{selectedRow.IsBurst ? "异常日（Prediction = -1）" : "正常日（Prediction = 1）"}
|
||||
</Typography>
|
||||
<Typography variant="body2" className="text-gray-700">
|
||||
解读建议：
|
||||
{selectedRow.Score <= -0.6
|
||||
? "高风险异常，建议优先复核对应测点的原始压力曲线与现场工况。"
|
||||
: selectedRow.Score <= -0.2
|
||||
? "存在可疑波动，建议结合相邻测点和调度记录进一步确认。"
|
||||
: "未见明显异常，可作为基线日参考。"}
|
||||
<Typography variant="caption" color="text.secondary">
|
||||
负值越小，压降相对历史越明显
|
||||
</Typography>
|
||||
</Box>
|
||||
) : (
|
||||
<Typography variant="body2" className="px-4 py-3 text-gray-500">
|
||||
请在趋势图或表格中选择一天查看详细解释。
|
||||
</Typography>
|
||||
)}
|
||||
</Box> */}
|
||||
<Box sx={{ height: 280, px: 1.5, py: 1 }}>
|
||||
<ReactECharts option={rankingOption} style={{ height: "100%", width: "100%" }} />
|
||||
</Box>
|
||||
</Box>
|
||||
) : null}
|
||||
|
||||
{/* Latest Sensor Rankings */}
|
||||
{/* <Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
最新测点高频特征排名
|
||||
</Typography>
|
||||
<Typography variant="caption" className="text-gray-500">
|
||||
仅展示最新一天
|
||||
</Typography>
|
||||
</Box>
|
||||
<Box sx={{ height: 260, px: 1.5, py: 1 }}>
|
||||
<ReactECharts option={rankingOption} style={{ height: "100%", width: "100%" }} />
|
||||
</Box>
|
||||
<Box className="flex flex-wrap gap-2 border-t border-gray-100 px-4 py-3">
|
||||
{result.summary.latest_sensor_rankings.slice(0, 5).map((item) => (
|
||||
<Button
|
||||
key={item.sensor_node}
|
||||
size="small"
|
||||
variant="outlined"
|
||||
onClick={() => locateSensors([item.sensor_node])}
|
||||
sx={{
|
||||
borderColor: "#bfdbfe",
|
||||
color: "#2563eb",
|
||||
"&:hover": { borderColor: "#60a5fa", backgroundColor: "#eff6ff" },
|
||||
}}
|
||||
>
|
||||
{item.sensor_node}
|
||||
</Button>
|
||||
))}
|
||||
</Box>
|
||||
</Box> */}
|
||||
|
||||
{/* Results Table */}
|
||||
<Box className="mb-4 overflow-hidden rounded-xl border border-gray-100 bg-white shadow-sm">
|
||||
<Box className="flex items-center justify-between border-b border-gray-100 bg-white px-4 py-3">
|
||||
<Box className="flex items-center gap-2">
|
||||
<FormatListBulleted className="h-5 w-5 text-blue-600" />
|
||||
<Typography variant="subtitle1" className="font-bold text-gray-800">
|
||||
结果表格
|
||||
</Typography>
|
||||
</Box>
|
||||
<Chip
|
||||
size="small"
|
||||
label={`${rows.length} 条`}
|
||||
sx={{
|
||||
height: 22,
|
||||
backgroundColor: "rgba(37, 99, 235, 0.08)",
|
||||
color: "#2563eb",
|
||||
fontWeight: 600,
|
||||
fontSize: "0.75rem",
|
||||
border: "none",
|
||||
}}
|
||||
/>
|
||||
<Box className="flex items-center gap-2 border-b border-gray-100 px-4 py-3">
|
||||
<FormatListBulleted className="text-blue-600" />
|
||||
<Typography variant="subtitle1" className="font-bold">
|
||||
同刻对照明细
|
||||
</Typography>
|
||||
</Box>
|
||||
<Box sx={{ height: 320, px: 1, py: 1 }}>
|
||||
<Box sx={{ height: 360, px: 1, py: 1 }}>
|
||||
<DataGrid
|
||||
rows={rows}
|
||||
rows={tableRows}
|
||||
columns={columns}
|
||||
columnBufferPx={100}
|
||||
localeText={zhCN.components.MuiDataGrid.defaultProps.localeText}
|
||||
initialState={{
|
||||
pagination: { paginationModel: { pageSize: 50, page: 0 } },
|
||||
}}
|
||||
pageSizeOptions={[50]}
|
||||
hideFooterSelectedRowCount
|
||||
sx={{
|
||||
border: "none",
|
||||
"& .MuiDataGrid-cell": { borderColor: "#f0f0f0" },
|
||||
"& .MuiDataGrid-columnHeaders": { backgroundColor: "#fafafa" },
|
||||
"& .MuiDataGrid-row:hover": { backgroundColor: "#f8fafc" },
|
||||
// Hide the rows per page selector since it's fixed to 50
|
||||
"& .MuiTablePagination-selectLabel": { display: "none" },
|
||||
"& .MuiTablePagination-input": { display: "none" },
|
||||
}}
|
||||
pageSizeOptions={[15]}
|
||||
initialState={{ pagination: { paginationModel: { pageSize: 15, page: 0 } } }}
|
||||
disableRowSelectionOnClick
|
||||
onRowClick={(params) => setSelectedDay(Number(params.row.Day))}
|
||||
getRowClassName={(params) =>
|
||||
params.row.Day === resultsState.selectedDay ? "bg-blue-50" : ""
|
||||
}
|
||||
sx={{ border: "none" }}
|
||||
/>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
@@ -115,6 +115,12 @@ const SchemeQuery: React.FC<Props> = ({
|
||||
username: payload?.username ?? scheme.username,
|
||||
create_time: payload?.create_time ?? scheme.create_time,
|
||||
algorithm_params: payload?.algorithm_params ?? detail?.algorithm_params,
|
||||
requested_target_time: payload?.requested_target_time,
|
||||
target_time: payload?.target_time,
|
||||
reference_window: payload?.reference_window,
|
||||
sampling_interval_minutes: payload?.sampling_interval_minutes,
|
||||
daily_scores: payload?.daily_scores,
|
||||
data_quality: payload?.data_quality,
|
||||
};
|
||||
};
|
||||
|
||||
@@ -245,6 +251,9 @@ const SchemeQuery: React.FC<Props> = ({
|
||||
const mostAnomalousDay =
|
||||
payload?.summary?.most_anomalous_day ?? summary?.most_anomalous_day ?? "-";
|
||||
const sensorCount = payload?.sensor_nodes?.length ?? scheme.scheme_detail?.sensor_nodes?.length ?? 0;
|
||||
const targetTime = payload?.target_time ?? payload?.summary?.target_time;
|
||||
const targetScore = payload?.summary?.target_score ?? summary?.target_score;
|
||||
const targetRank = payload?.summary?.target_rank ?? summary?.target_rank;
|
||||
|
||||
return (
|
||||
<Card key={scheme.scheme_id} variant="outlined" className="transition-shadow hover:shadow-md">
|
||||
@@ -293,30 +302,36 @@ const SchemeQuery: React.FC<Props> = ({
|
||||
<Box className="grid grid-cols-3 gap-2">
|
||||
<Box className="rounded bg-gray-50 p-2">
|
||||
<Typography variant="caption" className="text-gray-500">
|
||||
异常天数
|
||||
{targetTime ? "目标时刻" : "异常天数"}
|
||||
</Typography>
|
||||
<Typography variant="body2" className="font-semibold text-gray-900">
|
||||
{anomalyDayCount}
|
||||
{targetTime ? dayjs(targetTime).format("MM-DD HH:mm") : anomalyDayCount}
|
||||
</Typography>
|
||||
</Box>
|
||||
<Box className="rounded bg-gray-50 p-2">
|
||||
<Typography variant="caption" className="text-gray-500">
|
||||
最异常日
|
||||
{targetTime ? "目标分数" : "最异常日"}
|
||||
</Typography>
|
||||
<Typography variant="body2" className="font-semibold text-gray-900">
|
||||
{isBurst
|
||||
? typeof mostAnomalousDay === "number"
|
||||
? `第 ${mostAnomalousDay} 天`
|
||||
: mostAnomalousDay
|
||||
: "无"}
|
||||
{targetTime
|
||||
? typeof targetScore === "number"
|
||||
? targetScore.toFixed(4)
|
||||
: "-"
|
||||
: isBurst
|
||||
? typeof mostAnomalousDay === "number"
|
||||
? `第 ${mostAnomalousDay} 天`
|
||||
: mostAnomalousDay
|
||||
: "无"}
|
||||
</Typography>
|
||||
</Box>
|
||||
<Box className="rounded bg-gray-50 p-2">
|
||||
<Typography variant="caption" className="text-gray-500">
|
||||
测点数
|
||||
{targetTime ? "异常排名" : "测点数"}
|
||||
</Typography>
|
||||
<Typography variant="body2" className="font-semibold text-gray-900">
|
||||
{sensorCount}
|
||||
{targetTime && targetRank
|
||||
? `${targetRank} / ${payload?.day_count ?? 15}`
|
||||
: sensorCount}
|
||||
</Typography>
|
||||
</Box>
|
||||
</Box>
|
||||
@@ -336,6 +351,8 @@ const SchemeQuery: React.FC<Props> = ({
|
||||
if (ds === "monitoring") return "监测数据";
|
||||
if (os === "simulation_scheme_timerange") return "模拟数据";
|
||||
if (os === "backend_timerange") return "监测数据";
|
||||
if (os === "latest_monitoring") return "最新监测数据";
|
||||
if (os === "historical_monitoring") return "历史监测回放";
|
||||
return os || "-";
|
||||
})()}
|
||||
</Typography>
|
||||
@@ -354,14 +371,16 @@ const SchemeQuery: React.FC<Props> = ({
|
||||
</Box>
|
||||
<Box className="grid grid-cols-[78px_1fr] items-center gap-x-2">
|
||||
<Typography variant="caption" className="text-gray-600">
|
||||
算法参数:
|
||||
侦测口径:
|
||||
</Typography>
|
||||
<Typography variant="caption" className="font-medium text-gray-900">
|
||||
频域截断系数：{scheme.scheme_detail?.algorithm_params?.mu ?? payload?.algorithm_params?.mu ?? "-"}
|
||||
，每日采样点数：
|
||||
频域系数：{scheme.scheme_detail?.algorithm_params?.mu ?? payload?.algorithm_params?.mu ?? "-"}
|
||||
，每日采样：
|
||||
{scheme.scheme_detail?.algorithm_params?.points_per_day ??
|
||||
payload?.algorithm_params?.points_per_day ??
|
||||
"-"}
|
||||
点，阈值：
|
||||
{payload?.summary?.score_threshold ?? "-"}
|
||||
</Typography>
|
||||
</Box>
|
||||
</Box>
|
||||
|
||||
@@ -3,11 +3,16 @@ export interface BurstDetectionRow {
|
||||
Score: number;
|
||||
Prediction: number;
|
||||
IsBurst: boolean;
|
||||
Timestamp?: string;
|
||||
Role?: "reference" | "target";
|
||||
}
|
||||
|
||||
export interface BurstDetectionSensorRanking {
|
||||
sensor_node: string;
|
||||
latest_high_frequency_value: number;
|
||||
historical_mean?: number;
|
||||
historical_std?: number;
|
||||
standardized_deviation?: number;
|
||||
}
|
||||
|
||||
export interface BurstDetectionSummary {
|
||||
@@ -17,6 +22,11 @@ export interface BurstDetectionSummary {
|
||||
anomaly_days: number[];
|
||||
anomaly_day_count: number;
|
||||
latest_sensor_rankings: BurstDetectionSensorRanking[];
|
||||
target_score?: number;
|
||||
score_threshold?: number;
|
||||
target_rank?: number;
|
||||
target_time?: string;
|
||||
reference_day_count?: number;
|
||||
}
|
||||
|
||||
export interface BurstDetectionAlgorithmParams {
|
||||
@@ -27,6 +37,7 @@ export interface BurstDetectionAlgorithmParams {
|
||||
contamination?: number | "auto";
|
||||
random_state?: number;
|
||||
};
|
||||
score_threshold?: number;
|
||||
}
|
||||
|
||||
export interface BurstDetectionResult {
|
||||
@@ -51,6 +62,25 @@ export interface BurstDetectionResult {
|
||||
type?: string;
|
||||
};
|
||||
algorithm_params?: BurstDetectionAlgorithmParams;
|
||||
requested_target_time?: string | null;
|
||||
target_time?: string;
|
||||
reference_window?: {
|
||||
start: string;
|
||||
end: string;
|
||||
day_count: number;
|
||||
};
|
||||
sampling_interval_minutes?: number;
|
||||
daily_scores?: Array<{
|
||||
timestamp: string;
|
||||
role: "reference" | "target";
|
||||
score: number;
|
||||
raw_prediction: number;
|
||||
}>;
|
||||
data_quality?: {
|
||||
included_sensors: string[];
|
||||
excluded_sensors: Array<{ sensor_node: string; reason: string }>;
|
||||
minimum_required_sensors: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface BurstDetectionSchemeDetail {
|
||||
|
||||
Reference in New Issue
Block a user