[1]张娟,朱建璇,刘书明,等.基于启发式高斯云变换的DMA小区漏损率异常检测[J].中国给水排水,2026,42(17):48-54.
　ZhangJuan,ZhuJianxuan,LiuShuming,et al.Anomaly Detection of Leakage Rate in DMA Districts Based on Heuristic Gaussian Cloud Transform[J].China Water & Wastewater,2026,42(17):48-54.
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基于启发式高斯云变换的DMA小区漏损率异常检测

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第42卷 期数: 2026年第17期 页码: 48-54 栏目: 出版日期: 2026-09-01
Title:
Anomaly Detection of Leakage Rate in DMA Districts Based on Heuristic Gaussian Cloud Transform
作者:
张娟1,2， 朱建璇1， 刘书明2， 牛豫海1， 陈司晗1
（1.河北建投水务投资有限公司，河北 石家庄 050051；2.清华大学 环境学院，北京 100084）
Author(s):
Zhang　Juan1，2， Zhu　Jianxuan1， Liu　Shuming2， Niu　Yuhai1， Chen　Sihan1
（1. HCIG Water Investment Co. Ltd.， Shijiazhuang 050051， China； 2. School of Environment， Tsinghua University， Beijing 100084， China）
关键词:
漏损率;  高斯云变换;  独立计量分区（DMA）;  异常检测
Keywords:
leakage rate;  Gaussian cloud transform;  district metered area (DMA);  anomaly detection
摘要:
针对传统独立计量分区（DMA）小区漏损率异常检测方法依赖固定阈值或经验值的不足，提出了一种基于启发式高斯云变换（H-GCT）的漏损率阈值动态判定方法。通过高斯混合模型（GMM）拟合历史漏损率数据，结合高斯云模型量化概念含混度与交叠程度，实现正常与异常漏损率的划分，从而实现更科学的漏损率异常检测。选取L市30个DMA小区数据进行验证，结果表明，阈值漏损率范围为3.5%~9.0%，平均概念含混度为0.341 4，符合实际管网运行特征。该方法可为供水管网漏损监测与分区计量提供科学依据。
Abstract:
To address the shortcomings of traditional anomaly detection methods for leakage rates in district metered areas (DMA), which rely on fixed thresholds or empirical values, this paper proposes a dynamic threshold determination method based on heuristic Gaussian cloud transform (H-GCT). The method employs a Gaussian mixture model (GMM) to fit historical leakage rate data, and further combines it with a Gaussian cloud model to quantify the concept ambiguity and the degree of overlap, thereby enabling the classification of normal and abnormal leakage rates and achieving more scientific anomaly detection. Data from 30 DMA districts in city L were selected for validation. The results showed that the threshold leakage rates ranged from 3.5% to 9.0%, with an average concept ambiguity of 0.341 4, which was consistent with the actual operational characteristics of the water distribution network. The proposed method can provide a scientific basis for leakage monitoring and zonal metering in water supply pipeline networks.

相似文献/References:

[1]龚珑聪,卓雄,许俊鸽.基于NB-IoT和DMA技术相结合的小区漏损控制分析[J].中国给水排水,2021,37(13):40.
　GONG Long-cong,ZHUO Xiong,XU Jun-ge.Analysis of Leakage Management in Community Based on Combination of NB-IoT and DMA Technology[J].China Water & Wastewater,2021,37(17):40.
[2]刘锁祥,赵顺萍,刘阔.新行业标准下的供水管网漏损控制实践[J].中国给水排水,2021,37(24):130.
　LIU Suo-xiang,ZHAO Shun-ping,LIU Kuo.Practices in Water Loss Control of Urban Water Supply Network under New Industry Standard[J].China Water & Wastewater,2021,37(17):130.

更新日期/Last Update: 2026-09-01