{"title":"优化了硬质量传感器的鲁棒放置,用于饮用水分配系统中质量的鲁棒监测","authors":"R. Langowski, M. Brdys, Ruiyun Qi","doi":"10.1109/WCICA.2012.6358046","DOIUrl":null,"url":null,"abstract":"A problem of optimised robust placement of the hard quality sensors in Drinking Water Distribution Systems under several water demand scenarios for robust quality monitoring is formulated. Numerical algorithms to solve the problem are derived. The optimality is meant as achieving at the same time a desired trade off between the sensor capital and maintenance costs and resulting robust estimation accuracy of the monitoring algorithm for several water demand scenarios insuring robustness with respect to the demand uncertainty. The robust estimation algorithm recently developed by the authors is applied as a soft quality in design of the sensor placement algorithms. The method and algorithm are validated by application to Chojnice DWDS case study.","PeriodicalId":114901,"journal":{"name":"Proceedings of the 10th World Congress on Intelligent Control and Automation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Optimised robust placement of hard quality sensors for robust monitoring of quality in Drinking Water Distribution Systems\",\"authors\":\"R. Langowski, M. Brdys, Ruiyun Qi\",\"doi\":\"10.1109/WCICA.2012.6358046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A problem of optimised robust placement of the hard quality sensors in Drinking Water Distribution Systems under several water demand scenarios for robust quality monitoring is formulated. Numerical algorithms to solve the problem are derived. The optimality is meant as achieving at the same time a desired trade off between the sensor capital and maintenance costs and resulting robust estimation accuracy of the monitoring algorithm for several water demand scenarios insuring robustness with respect to the demand uncertainty. The robust estimation algorithm recently developed by the authors is applied as a soft quality in design of the sensor placement algorithms. The method and algorithm are validated by application to Chojnice DWDS case study.\",\"PeriodicalId\":114901,\"journal\":{\"name\":\"Proceedings of the 10th World Congress on Intelligent Control and Automation\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2012.6358046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2012.6358046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimised robust placement of hard quality sensors for robust monitoring of quality in Drinking Water Distribution Systems
A problem of optimised robust placement of the hard quality sensors in Drinking Water Distribution Systems under several water demand scenarios for robust quality monitoring is formulated. Numerical algorithms to solve the problem are derived. The optimality is meant as achieving at the same time a desired trade off between the sensor capital and maintenance costs and resulting robust estimation accuracy of the monitoring algorithm for several water demand scenarios insuring robustness with respect to the demand uncertainty. The robust estimation algorithm recently developed by the authors is applied as a soft quality in design of the sensor placement algorithms. The method and algorithm are validated by application to Chojnice DWDS case study.