拆分online_Analysis.py文件

This commit is contained in:
2026-01-26 17:22:06 +08:00
parent f3665798b7
commit 7c9667822f
10 changed files with 1597 additions and 1573 deletions

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from app.algorithms.data_cleaning import flow_data_clean, pressure_data_clean
from app.algorithms.sensors import (
pressure_sensor_placement_sensitivity,
pressure_sensor_placement_kmeans,
)
from app.algorithms.simulations import (
convert_to_local_unit,
burst_analysis,
valve_close_analysis,
flushing_analysis,
contaminant_simulation,
age_analysis,
pressure_regulation,
)
__all__ = [
"flow_data_clean",
"pressure_data_clean",
"pressure_sensor_placement_sensitivity",
"pressure_sensor_placement_kmeans",
"convert_to_local_unit",
"burst_analysis",
"valve_close_analysis",
"flushing_analysis",
"contaminant_simulation",
"age_analysis",
"pressure_regulation",
]

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import os
import app.algorithms.api_ex.Fdataclean as Fdataclean
import app.algorithms.api_ex.Pdataclean as Pdataclean
############################################################
# 流量监测数据清洗 ***卡尔曼滤波法***
############################################################
# 2025/08/21 hxyan
def flow_data_clean(input_csv_file: str) -> str:
"""
读取 input_csv_path 中的每列时间序列,使用一维 Kalman 滤波平滑并用预测值替换基于 3σ 检测出的异常点。
保存输出为:<input_filename>_cleaned.xlsx与输入同目录并返回输出文件的绝对路径。如有同名文件存在则覆盖。
:param: input_csv_file: 输入的 CSV 文件明或路径
:return: 输出文件的绝对路径
"""
# 提供的 input_csv_path 绝对路径,以下为 默认脚本目录下同名 CSV 文件,构建绝对路径,可根据情况修改
script_dir = os.path.dirname(os.path.abspath(__file__))
input_csv_path = os.path.join(script_dir, input_csv_file)
# 检查文件是否存在
if not os.path.exists(input_csv_path):
raise FileNotFoundError(f"指定的文件不存在: {input_csv_path}")
# 调用 Fdataclean.clean_flow_data_kf 函数进行数据清洗
out_xlsx_path = Fdataclean.clean_flow_data_kf(input_csv_path)
print("清洗后的数据已保存到:", out_xlsx_path)
############################################################
# 压力监测数据清洗 ***kmean++法***
############################################################
# 2025/08/21 hxyan
def pressure_data_clean(input_csv_file: str) -> str:
"""
读取 input_csv_path 中的每列时间序列使用Kmean++清洗数据。
保存输出为:<input_filename>_cleaned.xlsx与输入同目录并返回输出文件的绝对路径。如有同名文件存在则覆盖。
原始数据在 sheet 'raw_pressure_data',处理后数据在 sheet 'cleaned_pressusre_data'
:param input_csv_path: 输入的 CSV 文件路径
:return: 输出文件的绝对路径
"""
# 提供的 input_csv_path 绝对路径,以下为 默认脚本目录下同名 CSV 文件,构建绝对路径,可根据情况修改
script_dir = os.path.dirname(os.path.abspath(__file__))
input_csv_path = os.path.join(script_dir, input_csv_file)
# 检查文件是否存在
if not os.path.exists(input_csv_path):
raise FileNotFoundError(f"指定的文件不存在: {input_csv_path}")
# 调用 Fdataclean.clean_flow_data_kf 函数进行数据清洗
out_xlsx_path = Pdataclean.clean_pressure_data_km(input_csv_path)
print("清洗后的数据已保存到:", out_xlsx_path)

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app/algorithms/sensors.py Normal file
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import psycopg
import app.algorithms.api_ex.kmeans_sensor as kmeans_sensor
import app.algorithms.api_ex.sensitivity as sensitivity
from app.native.api.postgresql_info import get_pgconn_string
from app.services.tjnetwork import dump_inp
def pressure_sensor_placement_sensitivity(
name: str, scheme_name: str, sensor_number: int, min_diameter: int, username: str
) -> None:
"""
基于改进灵敏度法进行压力监测点优化布置
:param name: 数据库名称
:param scheme_name: 监测优化布置方案名称
:param sensor_number: 传感器数目
:param min_diameter: 最小管径
:param username: 用户名
:return:
"""
sensor_location = sensitivity.get_ID(
name=name, sensor_num=sensor_number, min_diameter=min_diameter
)
try:
conn_string = get_pgconn_string(db_name=name)
with psycopg.connect(conn_string) as conn:
with conn.cursor() as cur:
sql = """
INSERT INTO sensor_placement (scheme_name, sensor_number, min_diameter, username, sensor_location)
VALUES (%s, %s, %s, %s, %s)
"""
cur.execute(
sql,
(
scheme_name,
sensor_number,
min_diameter,
username,
sensor_location,
),
)
conn.commit()
print("方案信息存储成功!")
except Exception as e:
print(f"存储方案信息时出错:{e}")
# 2025/08/21
# 基于kmeans聚类法进行压力监测点优化布置
def pressure_sensor_placement_kmeans(
name: str, scheme_name: str, sensor_number: int, min_diameter: int, username: str
) -> None:
"""
基于聚类法进行压力监测点优化布置
:param name: 数据库名称注意此处数据库名称也是inp文件名称inp文件与pg库名要一样
:param scheme_name: 监测优化布置方案名称
:param sensor_number: 传感器数目
:param min_diameter: 最小管径
:param username: 用户名
:return:
"""
# dump_inp
inp_name = f"./db_inp/{name}.db.inp"
dump_inp(name, inp_name, "2")
sensor_location = kmeans_sensor.kmeans_sensor_placement(
name=name, sensor_num=sensor_number, min_diameter=min_diameter
)
try:
conn_string = get_pgconn_string(db_name=name)
with psycopg.connect(conn_string) as conn:
with conn.cursor() as cur:
sql = """
INSERT INTO sensor_placement (scheme_name, sensor_number, min_diameter, username, sensor_location)
VALUES (%s, %s, %s, %s, %s)
"""
cur.execute(
sql,
(
scheme_name,
sensor_number,
min_diameter,
username,
sensor_location,
),
)
conn.commit()
print("方案信息存储成功!")
except Exception as e:
print(f"存储方案信息时出错:{e}")

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import json
from datetime import datetime
from math import pi, sqrt
import pytz
import app.services.simulation as simulation
from app.algorithms.api_ex.run_simulation import run_simulation_ex, from_clock_to_seconds_2
from app.native.api.project import copy_project
from app.services.epanet.epanet import Output
from app.services.scheme_management import store_scheme_info
from app.services.tjnetwork import *
############################################################
# burst analysis 01
############################################################
def convert_to_local_unit(proj: str, emitters: float) -> float:
open_project(proj)
proj_opt = get_option(proj)
str_unit = proj_opt.get("UNITS")
if str_unit == "CMH":
return emitters * 3.6
elif str_unit == "LPS":
return emitters
elif str_unit == "CMS":
return emitters / 1000.0
elif str_unit == "MGD":
return emitters * 0.0438126
# Unknown unit: log and return original value
print(str_unit)
return emitters
def burst_analysis(
name: str,
modify_pattern_start_time: str,
burst_ID: list | str = None,
burst_size: list | float | int = None,
modify_total_duration: int = 900,
modify_fixed_pump_pattern: dict[str, list] = None,
modify_variable_pump_pattern: dict[str, list] = None,
modify_valve_opening: dict[str, float] = None,
scheme_Name: str = None,
) -> None:
"""
爆管模拟
:param name: 模型名称,数据库中对应的名字
:param modify_pattern_start_time: 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
:param burst_ID: 爆管管道的ID选取的是管道单独传入一个爆管管道可以是str或list传入多个爆管管道是用list
:param burst_size: 爆管管道破裂的孔口面积和burst_ID列表各位置的ID对应以cm*cm计算
:param modify_total_duration: 模拟总历时,秒
:param modify_fixed_pump_pattern: dict中包含多个水泵模式str为工频水泵的idlist为修改后的pattern
:param modify_variable_pump_pattern: dict中包含多个水泵模式str为变频水泵的idlist为修改后的pattern
:param modify_valve_opening: dict中包含多个阀门开启度str为阀门的idfloat为修改后的阀门开启度
:param scheme_Name: 方案名称
:return:
"""
scheme_detail: dict = {
"burst_ID": burst_ID,
"burst_size": burst_size,
"modify_total_duration": modify_total_duration,
"modify_fixed_pump_pattern": modify_fixed_pump_pattern,
"modify_variable_pump_pattern": modify_variable_pump_pattern,
"modify_valve_opening": modify_valve_opening,
}
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Analysis."
)
new_name = f"burst_Anal_{name}"
if have_project(new_name):
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Copying Database."
)
# CopyProjectEx()(name, new_name,
# ['operation', 'current_operation', 'restore_operation', 'batch_operation', 'operation_table'])
copy_project(name + "_template", new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Opening Database."
)
open_project(new_name)
simulation.run_simulation(
name=new_name,
simulation_type="manually_temporary",
modify_pattern_start_time=modify_pattern_start_time,
)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Database Loading OK."
)
##step 1 set the emitter coefficient of end node of busrt pipe
if isinstance(burst_ID, list):
if (burst_size is not None) and (type(burst_size) is not list):
return json.dumps("Type mismatch.")
elif isinstance(burst_ID, str):
burst_ID = [burst_ID]
if burst_size is not None:
if isinstance(burst_size, float) or isinstance(burst_size, int):
burst_size = [burst_size]
else:
return json.dumps("Type mismatch.")
else:
return json.dumps("Type mismatch.")
if burst_size is None:
burst_size = [-1] * len(burst_ID)
elif len(burst_size) < len(burst_ID):
burst_size += [-1] * (len(burst_ID) - len(burst_size))
elif len(burst_size) > len(burst_ID):
# burst_size = burst_size[:len(burst_ID)]
return json.dumps("Length mismatch.")
for burst_ID_, burst_size_ in zip(burst_ID, burst_size):
pipe = get_pipe(new_name, burst_ID_)
str_start_node = pipe["node1"]
str_end_node = pipe["node2"]
d_pipe = pipe["diameter"] / 1000.0
if burst_size_ <= 0:
burst_size_ = 3.14 * d_pipe * d_pipe / 4 / 8
else:
burst_size_ = burst_size_ / 10000
emitter_coeff = (
0.65 * burst_size_ * sqrt(19.6) * 1000
) # 1/8开口面积作为coeff单位 L/S
emitter_coeff = convert_to_local_unit(new_name, emitter_coeff)
emitter_node = ""
if is_junction(new_name, str_end_node):
emitter_node = str_end_node
elif is_junction(new_name, str_start_node):
emitter_node = str_start_node
old_emitter = get_emitter(new_name, emitter_node)
if old_emitter != None:
old_emitter["coefficient"] = emitter_coeff # 爆管的emitter coefficient设置
else:
old_emitter = {"junction": emitter_node, "coefficient": emitter_coeff}
new_emitter = ChangeSet()
new_emitter.append(old_emitter)
set_emitter(new_name, new_emitter)
# step 2. run simulation
# 涉及关阀计算可能导致关阀后仍有流量改为压力驱动PDA
options = get_option(new_name)
options["DEMAND MODEL"] = OPTION_DEMAND_MODEL_PDA
options["REQUIRED PRESSURE"] = "10.0000"
cs_options = ChangeSet()
cs_options.append(options)
set_option(new_name, cs_options)
# valve_control = None
# if modify_valve_opening is not None:
# valve_control = {}
# for valve in modify_valve_opening:
# valve_control[valve] = {'status': 'CLOSED'}
# result = run_simulation_ex(new_name,'realtime', modify_pattern_start_time,
# end_datetime=modify_pattern_start_time,
# modify_total_duration=modify_total_duration,
# modify_pump_pattern=modify_pump_pattern,
# valve_control=valve_control,
# downloading_prohibition=True)
simulation.run_simulation(
name=new_name,
simulation_type="extended",
modify_pattern_start_time=modify_pattern_start_time,
modify_total_duration=modify_total_duration,
modify_fixed_pump_pattern=modify_fixed_pump_pattern,
modify_variable_pump_pattern=modify_variable_pump_pattern,
modify_valve_opening=modify_valve_opening,
scheme_Type="burst_Analysis",
scheme_Name=scheme_Name,
)
# step 3. restore the base model status
# execute_undo(name) #有疑惑
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# return result
store_scheme_info(
name=name,
scheme_name=scheme_Name,
scheme_type="burst_Analysis",
username="admin",
scheme_start_time=modify_pattern_start_time,
scheme_detail=scheme_detail,
)
############################################################
# valve closing analysis 02
############################################################
def valve_close_analysis(
name: str,
modify_pattern_start_time: str,
modify_total_duration: int = 900,
modify_valve_opening: dict[str, float] = None,
scheme_Name: str = None,
) -> None:
"""
关阀模拟
:param name: 模型名称,数据库中对应的名字
:param modify_pattern_start_time: 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
:param modify_total_duration: 模拟总历时,秒
:param modify_valve_opening: dict中包含多个阀门开启度str为阀门的idfloat为修改后的阀门开启度
:param scheme_Name: 方案名称
:return:
"""
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Analysis."
)
new_name = f"valve_close_Anal_{name}"
if have_project(new_name):
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Copying Database."
)
# CopyProjectEx()(name, new_name,
# ['operation', 'current_operation', 'restore_operation', 'batch_operation', 'operation_table'])
copy_project(name + "_template", new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Opening Database."
)
open_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Database Loading OK."
)
# step 1. change the valves status to 'closed'
# for valve in valves:
# if not is_valve(new_name,valve):
# result='ID:{}is not a valve type'.format(valve)
# return result
# cs=ChangeSet()
# status=get_status(new_name,valve)
# status['status']='CLOSED'
# cs.append(status)
# set_status(new_name,cs)
# step 2. run simulation
# 涉及关阀计算可能导致关阀后仍有流量改为压力驱动PDA
options = get_option(new_name)
options["DEMAND MODEL"] = OPTION_DEMAND_MODEL_PDA
options["REQUIRED PRESSURE"] = "20.0000"
cs_options = ChangeSet()
cs_options.append(options)
set_option(new_name, cs_options)
# result = run_simulation_ex(new_name,'realtime', modify_pattern_start_time, modify_pattern_start_time, modify_total_duration,
# downloading_prohibition=True)
simulation.run_simulation(
name=new_name,
simulation_type="extended",
modify_pattern_start_time=modify_pattern_start_time,
modify_total_duration=modify_total_duration,
modify_valve_opening=modify_valve_opening,
scheme_Type="valve_close_Analysis",
scheme_Name=scheme_Name,
)
# step 3. restore the base model
# for valve in valves:
# execute_undo(name)
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# return result
############################################################
# flushing analysis 03
# Pipe_Flushing_Analysis(prj_name,date_time, Valve_id_list, Drainage_Node_Id, Flushing_flow[opt], Flushing_duration[opt])->out_file:string
############################################################
def flushing_analysis(
name: str,
modify_pattern_start_time: str,
modify_total_duration: int = 900,
modify_valve_opening: dict[str, float] = None,
drainage_node_ID: str = None,
flushing_flow: float = 0,
scheme_Name: str = None,
) -> None:
"""
管道冲洗模拟
:param name: 模型名称,数据库中对应的名字
:param modify_pattern_start_time: 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
:param modify_total_duration: 模拟总历时,秒
:param modify_valve_opening: dict中包含多个阀门开启度str为阀门的idfloat为修改后的阀门开启度
:param drainage_node_ID: 冲洗排放口所在节点ID
:param flushing_flow: 冲洗水量传入参数单位为m3/h
:param scheme_Name: 方案名称
:return:
"""
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Analysis."
)
new_name = f"flushing_Anal_{name}"
if have_project(new_name):
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# if is_project_open(name):
# close_project(name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Copying Database."
)
# CopyProjectEx()(name, new_name,
# ['operation', 'current_operation', 'restore_operation', 'batch_operation', 'operation_table'])
copy_project(name + "_template", new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Opening Database."
)
open_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Database Loading OK."
)
if not is_junction(new_name, drainage_node_ID):
return "Wrong Drainage node type"
# step 1. change the valves status to 'closed'
# for valve, valve_k in zip(valves, valves_k):
# cs=ChangeSet()
# status=get_status(new_name,valve)
# # status['status']='CLOSED'
# if valve_k == 0:
# status['status'] = 'CLOSED'
# elif valve_k < 1:
# status['status'] = 'OPEN'
# status['setting'] = 0.1036 * pow(valve_k, -3.105)
# cs.append(status)
# set_status(new_name,cs)
units = get_option(new_name)
# step 2. set the emitter coefficient of drainage node or add flush flow to the drainage node
emitter_demand = get_demand(new_name, drainage_node_ID)
cs = ChangeSet()
if flushing_flow > 0:
for r in emitter_demand["demands"]:
if units == "LPS":
r["demand"] += flushing_flow / 3.6
elif units == "CMH":
r["demand"] += flushing_flow
cs.append(emitter_demand)
set_demand(new_name, cs)
else:
pipes = get_node_links(new_name, drainage_node_ID)
flush_diameter = 50
for pipe in pipes:
d = get_pipe(new_name, pipe)["diameter"]
if flush_diameter < d:
flush_diameter = d
flush_diameter /= 1000
emitter_coeff = (
0.65 * 3.14 * (flush_diameter * flush_diameter / 4) * sqrt(19.6) * 1000
) # 全开口面积作为coeff
old_emitter = get_emitter(new_name, drainage_node_ID)
if old_emitter != None:
old_emitter["coefficient"] = emitter_coeff # 爆管的emitter coefficient设置
else:
old_emitter = {"junction": drainage_node_ID, "coefficient": emitter_coeff}
new_emitter = ChangeSet()
new_emitter.append(old_emitter)
set_emitter(new_name, new_emitter)
# step 3. run simulation
# 涉及关阀计算可能导致关阀后仍有流量改为压力驱动PDA
options = get_option(new_name)
options["DEMAND MODEL"] = OPTION_DEMAND_MODEL_PDA
options["REQUIRED PRESSURE"] = "20.0000"
cs_options = ChangeSet()
cs_options.append(options)
set_option(new_name, cs_options)
# result = run_simulation_ex(new_name,'realtime', modify_pattern_start_time, modify_pattern_start_time, modify_total_duration,
# downloading_prohibition=True)
simulation.run_simulation(
name=new_name,
simulation_type="extended",
modify_pattern_start_time=modify_pattern_start_time,
modify_total_duration=modify_total_duration,
modify_valve_opening=modify_valve_opening,
scheme_Type="flushing_Analysis",
scheme_Name=scheme_Name,
)
# step 4. restore the base model
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# return result
############################################################
# Contaminant simulation 04
#
############################################################
def contaminant_simulation(
name: str,
modify_pattern_start_time: str, # 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
modify_total_duration: int = 900, # 模拟总历时,秒
source: str = None, # 污染源节点ID
concentration: float = None, # 污染源浓度单位mg/L
source_pattern: str = None, # 污染源时间变化模式名称
scheme_Name: str = None,
) -> None:
"""
污染模拟
:param name: 模型名称,数据库中对应的名字
:param modify_pattern_start_time: 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
:param modify_total_duration: 模拟总历时,秒
:param source: 污染源所在的节点ID
:param concentration: 污染源位置处的浓度单位mg/L即默认的污染模拟setting为concentration应改为 Set point booster
:param source_pattern: 污染源的时间变化模式若不传入则默认以恒定浓度持续模拟时间长度等于duration;
若传入,则格式为{1.0,0.5,1.1}等系数列表pattern_step模拟等于模型的hydraulic time step
:param scheme_Name: 方案名称
:return:
"""
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Analysis."
)
new_name = f"contaminant_Sim_{name}"
if have_project(new_name):
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# if is_project_open(name):
# close_project(name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Copying Database."
)
# CopyProjectEx()(name, new_name,
# ['operation', 'current_operation', 'restore_operation', 'batch_operation', 'operation_table'])
copy_project(name + "_template", new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Opening Database."
)
open_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Database Loading OK."
)
dic_time = get_time(new_name)
dic_time["QUALITY TIMESTEP"] = "0:05:00"
cs = ChangeSet()
cs.operations.append(dic_time)
set_time(new_name, cs) # set QUALITY TIMESTEP
time_option = get_time(new_name)
hydraulic_step = time_option["HYDRAULIC TIMESTEP"]
secs = from_clock_to_seconds_2(hydraulic_step)
operation_step = 0
# step 1. set duration
if modify_total_duration == None:
modify_total_duration = secs
# step 2. set pattern
if source_pattern != None:
pt = get_pattern(new_name, source_pattern)
if pt == None:
str_response = str("cant find source_pattern")
return str_response
else:
cs_pattern = ChangeSet()
pt = {}
factors = []
tmp_duration = modify_total_duration
while tmp_duration > 0:
factors.append(1.0)
tmp_duration = tmp_duration - secs
pt["id"] = "contam_pt"
pt["factors"] = factors
cs_pattern.append(pt)
add_pattern(new_name, cs_pattern)
operation_step += 1
# step 3. set source/initial quality
# source quality
cs_source = ChangeSet()
source_schema = {
"node": source,
"s_type": SOURCE_TYPE_CONCEN,
"strength": concentration,
"pattern": pt["id"],
}
cs_source.append(source_schema)
source_node = get_source(new_name, source)
if len(source_node) == 0:
add_source(new_name, cs_source)
else:
set_source(new_name, cs_source)
dict_demand = get_demand(new_name, source)
for demands in dict_demand["demands"]:
dict_demand["demands"][dict_demand["demands"].index(demands)]["demand"] = -1
dict_demand["demands"][dict_demand["demands"].index(demands)]["pattern"] = None
cs = ChangeSet()
cs.append(dict_demand)
set_demand(new_name, cs) # set inflow node
# # initial quality
# dict_quality = get_quality(new_name, source)
# dict_quality['quality'] = concentration
# cs = ChangeSet()
# cs.append(dict_quality)
# set_quality(new_name, cs)
operation_step += 1
# step 4 set option of quality to chemical
opt = get_option(new_name)
opt["QUALITY"] = OPTION_QUALITY_CHEMICAL
cs_option = ChangeSet()
cs_option.append(opt)
set_option(new_name, cs_option)
operation_step += 1
# step 5. run simulation
# result = run_simulation_ex(new_name,'realtime', modify_pattern_start_time, modify_pattern_start_time, modify_total_duration,
# downloading_prohibition=True)
simulation.run_simulation(
name=new_name,
simulation_type="extended",
modify_pattern_start_time=modify_pattern_start_time,
modify_total_duration=modify_total_duration,
scheme_Type="contaminant_Analysis",
scheme_Name=scheme_Name,
)
# for i in range(1,operation_step):
# execute_undo(name)
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# return result
############################################################
# age analysis 05 ***水龄模拟目前还没和实时模拟打通,不确定是否需要,先不要使用***
############################################################
def age_analysis(
name: str, modify_pattern_start_time: str, modify_total_duration: int = 900
) -> None:
"""
水龄模拟
:param name: 模型名称,数据库中对应的名字
:param modify_pattern_start_time: 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
:param modify_total_duration: 模拟总历时,秒
:return:
"""
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Analysis."
)
new_name = f"age_Anal_{name}"
if have_project(new_name):
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# if is_project_open(name):
# close_project(name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Copying Database."
)
# CopyProjectEx()(name, new_name,
# ['operation', 'current_operation', 'restore_operation', 'batch_operation', 'operation_table'])
copy_project(name + "_template", new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Opening Database."
)
open_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Database Loading OK."
)
# step 1. run simulation
result = run_simulation_ex(
new_name,
"realtime",
modify_pattern_start_time,
modify_total_duration,
downloading_prohibition=True,
)
# step 2. restore the base model status
# execute_undo(name) #有疑惑
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
output = Output("./temp/{}.db.out".format(new_name))
# element_name = output.element_name()
# node_name = element_name['nodes']
# link_name = element_name['links']
nodes_age = []
node_result = output.node_results()
for node in node_result:
nodes_age.append(node["result"][-1]["quality"])
links_age = []
link_result = output.link_results()
for link in link_result:
links_age.append(link["result"][-1]["quality"])
age_result = {"nodes": nodes_age, "links": links_age}
# age_result = {'nodes': nodes_age, 'links': links_age, 'nodeIDs': node_name, 'linkIDs': link_name}
return json.dumps(age_result)
############################################################
# pressure regulation 06
############################################################
def pressure_regulation(
name: str,
modify_pattern_start_time: str,
modify_total_duration: int = 900,
modify_tank_initial_level: dict[str, float] = None,
modify_fixed_pump_pattern: dict[str, list] = None,
modify_variable_pump_pattern: dict[str, list] = None,
scheme_Name: str = None,
) -> None:
"""
区域调压模拟用来模拟未来15分钟内开关水泵对区域压力的影响
:param name: 模型名称,数据库中对应的名字
:param modify_pattern_start_time: 模拟开始时间,格式为'2024-11-25T09:00:00+08:00'
:param modify_total_duration: 模拟总历时,秒
:param modify_tank_initial_level: dict中包含多个水塔str为水塔的idfloat为修改后的initial_level
:param modify_fixed_pump_pattern: dict中包含多个水泵模式str为工频水泵的idlist为修改后的pattern
:param modify_variable_pump_pattern: dict中包含多个水泵模式str为变频水泵的idlist为修改后的pattern
:param scheme_Name: 模拟方案名称
:return:
"""
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Analysis."
)
new_name = f"pressure_regulation_{name}"
if have_project(new_name):
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# if is_project_open(name):
# close_project(name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Copying Database."
)
# CopyProjectEx()(name, new_name,
# ['operation', 'current_operation', 'restore_operation', 'batch_operation', 'operation_table'])
copy_project(name + "_template", new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Start Opening Database."
)
open_project(new_name)
print(
datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
+ " -- Database Loading OK."
)
# 全部关泵后压力计算不合理改为压力驱动PDA
options = get_option(new_name)
options["DEMAND MODEL"] = OPTION_DEMAND_MODEL_PDA
options["REQUIRED PRESSURE"] = "15.0000"
cs_options = ChangeSet()
cs_options.append(options)
set_option(new_name, cs_options)
# result = run_simulation_ex(name=new_name,
# simulation_type='realtime',
# start_datetime=start_datetime,
# duration=900,
# pump_control=pump_control,
# tank_initial_level_control=tank_initial_level_control,
# downloading_prohibition=True)
simulation.run_simulation(
name=new_name,
simulation_type="extended",
modify_pattern_start_time=modify_pattern_start_time,
modify_total_duration=modify_total_duration,
modify_tank_initial_level=modify_tank_initial_level,
modify_fixed_pump_pattern=modify_fixed_pump_pattern,
modify_variable_pump_pattern=modify_variable_pump_pattern,
scheme_Type="pressure_regulation",
scheme_Name=scheme_Name,
)
if is_project_open(new_name):
close_project(new_name)
delete_project(new_name)
# return result