A. Kadri, A. Abu-Dayya, D. Trinchero, R. Stefanelli
{"title":"Autonomous sensing for leakage detection in underground water pipelines","authors":"A. Kadri, A. Abu-Dayya, D. Trinchero, R. Stefanelli","doi":"10.1109/ICSENST.2011.6137061","DOIUrl":null,"url":null,"abstract":"This paper presents an advanced architecture for autonomous sensing (AS) within underground water pipelines. This AS architecture consists of a free-moving wireless sensor that communicates wirelessly with a relay stations fixed on the ground. This sensor is equipped with a hydrophone that captures the internal state of the pipe by continuously sensing the noise signal. The data is transmitted wirelessly to the relay nodes and then to a central server on real-time basis for further analysis. Advanced algorithms are applied on the data to get useful information about existing or futuristic leakages. A novel experimental setup has been designed and built for carrying out preliminary experiments. The acquired results have shown both the ability to detect leakages and to identify their magnitude.","PeriodicalId":202062,"journal":{"name":"2011 Fifth International Conference on Sensing Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fifth International Conference on Sensing Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENST.2011.6137061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents an advanced architecture for autonomous sensing (AS) within underground water pipelines. This AS architecture consists of a free-moving wireless sensor that communicates wirelessly with a relay stations fixed on the ground. This sensor is equipped with a hydrophone that captures the internal state of the pipe by continuously sensing the noise signal. The data is transmitted wirelessly to the relay nodes and then to a central server on real-time basis for further analysis. Advanced algorithms are applied on the data to get useful information about existing or futuristic leakages. A novel experimental setup has been designed and built for carrying out preliminary experiments. The acquired results have shown both the ability to detect leakages and to identify their magnitude.