DMA数据质量评估与错误数据识别方法  

Data quality assessment and error data identification methods for DMAs

作　　者：张佳欣 何鑫 翟元鑫 强志民[1,2] 徐强 Zhang Jiaxin;He Xin;Zhai Yuanxin;Qiang Zhimin;Xu Qiang(Key Laboratory of Drinking Water Science and Technology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;University of Chinese Academy of Sciences,Beijing 100049,China;Beijing Waterworks Group,Beijing 100031,China)

机构地区：[1]中国科学院生态环境研究中心饮用水科学与技术重点实验室,北京100085 [2]中国科学院大学,北京100049 [3]北京市自来水集团有限责任公司,北京100031

出　　处：《给水排水》2020年第3期134-138,共5页Water & Wastewater Engineering

基　　金：国家水体污染控制与治理科技重大专项(2017ZX07108-002,2017ZX07501-002)。

摘　　要：梳理了独立计量区(DMA)流量数据中常见的错误,进行数据质量评估,对于支撑DMA的智慧化管理具有重要意义。收集了某市2017~2018年连续2年共728个DMA的流量数据,识别了5种类型的数据错误,分析了其原因并评估了其影响,为DMA数据质量的提升提供了支撑。It’s important to identify the categories of the error data and assess the data quality for the district metered areas(DMAs)to support their intelligent management.This study collected data from 728DMAs for two consecutive years(2017~2018),recognized five types of data errors,analyzed their causes and assessed their impacts,providing support for the improvement of DMA data quality.

关 键 词：独立计量区 漏损控制 数据质量评估 

分 类 号：TU990[建筑科学—市政工程]