[1]宋浩洁,孔祥达,侯本伟,等.基于流量监测数据的DMA用水特征分析[J].中国给水排水,2025,41(5):44-51.
　SONGHao-jie,KONGXiang-da,HOUBen-wei,et al.Analysis of DMA Water Consumption Characteristics Utilizing Flow Monitoring Data[J].China Water & Wastewater,2025,41(5):44-51.
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基于流量监测数据的DMA用水特征分析

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第41卷 期数: 2025年第5期 页码: 44-51 栏目: 出版日期: 2025-03-01
Title:
Analysis of DMA Water Consumption Characteristics Utilizing Flow Monitoring Data
作者:
宋浩洁1， 孔祥达2， 侯本伟1， 吴珊1
（1.北京工业大学 建筑工程学院，北京 100124；2.北京市自来水集团有限责任公司，北京 100031）
Author(s):
SONG　Hao-jie1， KONG　Xiang-da2， HOU　Ben-wei1， WU　Shan1
（1. College of Architecture and Civil Engineering， Beijing University of Technology， Beijing 100124， China； 2. Beijing Waterworks Group Co. Ltd.， Beijing 100031， China）
关键词:
独立计量区（DMA）;  用水特征;  时变规律;  人口活动;  物理属性
Keywords:
district metered area (DMA);  water consumption characteristics;  hourly variation pattern;  population activity;  physical attribute
摘要:
城市供水管网中的独立计量区（DMA）以居民用水为主，其流量监测数据反映了居民用水变化规律。为充分挖掘DMA用水特征，以北方某城市的DMA为研究对象，基于水表传输的实时流量数据，识别并清洗异常流量数据后，分别从假期效应、高峰用水时刻分布、人口数据与用水量的相关性三个角度分析DMA用水时变化和日变化规律；并结合DMA物理属性信息拟合月用水量与用水户数、管线长度、占地面积的关系。结果表明，不同类型DMA在假日期间小时用水量呈现相似的早晚高峰用水量波动，日用水量变化规律显现相似的“U”型波动，月用水量与三类物理属性影响因子呈指数函数关系。研究得到的多个时间维度的DMA用水特征，可为管网供水调控、DMA水量数据监测与管理提供依据，且时变人口热值可为DMA短期用水量预测提供参考。
Abstract:
The district metered area (DMA) within the urban water supply network primarily serves residential users, and the flow monitoring data reflects the changes in residential water consumption. Based on the real-time flow data transmitted by the water meters within a DMA in a northern city, abnormal flow data were identified and cleansed. Subsequently, the hourly and daily variation patterns of DMA water consumption were analyzed from three perspectives: the holiday effect, the distribution of peak water consumption periods, and the correlation between population data and water consumption, so as to comprehensively investigate the characteristics of DMA water consumption. The relationships between monthly water consumption and the number of households, pipeline length and floor area in combination with the physical attributes of DMAs were analyzed through fitting. The hourly water consumption of various DMA types exhibited comparable morning and evening peak fluctuations during holidays, while daily water consumption demonstrated a U-shaped fluctuation. Monthly water consumption was found to have an exponential relationship with the three physical attribute factors. The DMA water consumption characteristics analyzed across multiple time dimensions in this study can serve as a foundation for regulating water supply within the pipe network, monitoring and managing DMA water consumption data, and the time-varying population heat value can provide a reference for short-term water consumption forecasting in DMA.
更新日期/Last Update: 2025-03-01