| 引用本文: | 高金良,李娟娟,郑成志,张昭君,阮婷,庄永伟.区域供水管网盲源分离漏失量研究[J].哈尔滨工业大学学报,2015,47(6):33.DOI:10.11918/j.issn.0367-6234.2015.06.006 |
| GAO Jinliang,LI Juanjuan,ZHENG Chengzhi,ZHANG Zhaojun,RUAN Ting,ZHUANG Yongwei.Study on leakage of regional distribution network using blind source separation[J].Journal of Harbin Institute of Technology,2015,47(6):33.DOI:10.11918/j.issn.0367-6234.2015.06.006 |
|
| 本文已被：浏览 2166次 下载 1151次 |
码上扫一扫！ |
|
|
| 区域供水管网盲源分离漏失量研究 |
|
高金良1, 李娟娟1, 郑成志1, 张昭君2,3, 阮婷2,3, 庄永伟1
|
|
(1.哈尔滨工业大学 市政环境工程学院, 150090 哈尔滨; 2.广东粤海控股有限公司, 518021 广东 深圳; 3.广东粤港供水有限公司, 518021 广东 深圳)
|
|
| 摘要: |
| 目前,国际上对漏失量化理论研究较少,建立的管网漏失模型多为估算反推微观模型,未能求出供水管网整体精确的物理漏失水量,无法对供水管网漏失现状进行评价,为此,基于供水管网漏失专用实验平台进行不同用户、不同漏点、不同特性管网的漏失模拟,并将盲源分离理论应用到供水管网漏失分离中,对实验管网获取的在线监控数据用快速独立分量分析算法(FastICA)进行处理,成功分离出漏失量．为供水行业制定有针对性的供水管理及技术措施,降低漏失量、提高管网控漏水平提供依据． |
| 关键词: 供水管网 漏失实验模拟 盲源分离 快速独立分量分析 |
| DOI：10.11918/j.issn.0367-6234.2015.06.006 |
| 分类号:TU991. 33 |
| 基金项目:国家自然科学基金(51278148); 欧盟第七框架“玛丽·居里行动”计划(PIRSES-GA-2012-318985); 广东省教育部产学研结合项目(2011A090200040). |
|
| Study on leakage of regional distribution network using blind source separation |
|
GAO Jinliang1, LI Juanjuan1,ZHENG Chengzhi1, ZHANG Zhaojun2,3, RUAN Ting2,3, ZHUANG Yongwei1
|
|
(1. School of Municipal and Environmental Engineering, Harbin Institute of Technology, 150090 Harbin, China; 2. Guangdong Holdings Limited, 518021 Shenzhen, Guangdong, China; 3. Guangdong Yue Gang Water Supply Co., Ltd., 518021 Shenzhen, Guangdong, China)
|
| Abstract: |
| At present, study on the theory of quantify leakage is few internationally, and the establishment of water supply network leakage model is used more for estimating microscopic model but not used for calculation of whole physical leakage in water supply network. This paper modeled leakage of different consumers, different characteristics of leakage by water supply network leakage experimental platform. The theory of blind source separation was applied to leakage separation, and the data obtained from on-line monitor system was processed by fast independent component algorithm to get leakage separation. This provides powerful basis for taking measures of water supply network management, reduces leakage and improves level of controlling leakage. |
| Key words: water distribution network leakage experiment simulation blind source separation fast independent component analysis |
