H. Cai, Lingjuan Kong, Xianting Li, Xiaoliang Shao
{"title":"A fast model to identify multiple indoor contaminant sources with known releasing time by considering real sensor characteristics","authors":"H. Cai, Lingjuan Kong, Xianting Li, Xiaoliang Shao","doi":"10.1109/ICMREE.2013.6893752","DOIUrl":null,"url":null,"abstract":"A theoretical model was presented for quickly identifying multiple indoor constant contaminant sources with known releasing time by considering the sensor thresholds and measurement errors. The model was numerically demonstrated and validated by case studies. The results indicated that the model can potentially be effective with high sensor thresholds and measurement errors. This study will contribute to developing source identification techniques using real sensors.","PeriodicalId":6427,"journal":{"name":"2013 International Conference on Materials for Renewable Energy and Environment","volume":"14 1","pages":"630-634"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Materials for Renewable Energy and Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMREE.2013.6893752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A theoretical model was presented for quickly identifying multiple indoor constant contaminant sources with known releasing time by considering the sensor thresholds and measurement errors. The model was numerically demonstrated and validated by case studies. The results indicated that the model can potentially be effective with high sensor thresholds and measurement errors. This study will contribute to developing source identification techniques using real sensors.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
