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SCADA 压力流量清洗模块新增数据填补

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This commit is contained in:
Jiang
2026-01-30 18:05:45 +08:00
parent 9037bf317b
commit e3141ee250
4 changed files with 228 additions and 29 deletions
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8
app/infra/db/timescaledb/composite_queries.py
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@@ -405,10 +405,8 @@ class CompositeQueries:
pressure_df = df[pressure_ids]
# 重置索引，将 time 变为普通列
pressure_df = pressure_df.reset_index()
# 移除 time 列，准备输入给清洗方法
value_df = pressure_df.drop(columns=["time"])
# 调用清洗方法
cleaned_value_df = clean_pressure_data_df_km(value_df)
cleaned_value_df = clean_pressure_data_df_km(pressure_df)
# 添加 time 列到首列
cleaned_df = pd.concat([pressure_df["time"], cleaned_value_df], axis=1)
# 将清洗后的数据写回数据库
@@ -432,10 +430,8 @@ class CompositeQueries:
flow_df = df[flow_ids]
# 重置索引，将 time 变为普通列
flow_df = flow_df.reset_index()
# 移除 time 列，准备输入给清洗方法
value_df = flow_df.drop(columns=["time"])
# 调用清洗方法
cleaned_value_df = clean_flow_data_df_kf(value_df)
cleaned_value_df = clean_flow_data_df_kf(flow_df)
# 添加 time 列到首列
cleaned_df = pd.concat([flow_df["time"], cleaned_value_df], axis=1)
# 将清洗后的数据写回数据库