S. Nikolaidis, Dimitrios Porlidas, G. Glentis, A. Kalfas, Christos C. Spandonidis
{"title":"Smart sensor system for leakage detection in pipes carrying oil products in noisy environment: The ESTHISIS Project","authors":"S. Nikolaidis, Dimitrios Porlidas, G. Glentis, A. Kalfas, Christos C. Spandonidis","doi":"10.1109/PATMOS.2019.8862111","DOIUrl":null,"url":null,"abstract":"The presented initiative aims at the development of a low cost and low energy wireless sensor system for the immediate detection of leaks in metallic piping systems for the transport of liquid and gaseous petroleum products in a noisy industrial environment. The method to be followed will be based on processing the changes monitored in the acoustic spectrum of sound signals appearing in the pipeline walls due to a leakage effect and will aim at minimal interference in the piping system. It is intended to use low frequencies to detect and characterize leakage in order to increase the range of sensors and thus to reduce cost. The method will focus only on the sounds produced during the leakage while intermittent processing will be applied with the potential to further reduce energy consumption and increase leakage detection reliability in a noisy environment.","PeriodicalId":430458,"journal":{"name":"2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PATMOS.2019.8862111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The presented initiative aims at the development of a low cost and low energy wireless sensor system for the immediate detection of leaks in metallic piping systems for the transport of liquid and gaseous petroleum products in a noisy industrial environment. The method to be followed will be based on processing the changes monitored in the acoustic spectrum of sound signals appearing in the pipeline walls due to a leakage effect and will aim at minimal interference in the piping system. It is intended to use low frequencies to detect and characterize leakage in order to increase the range of sensors and thus to reduce cost. The method will focus only on the sounds produced during the leakage while intermittent processing will be applied with the potential to further reduce energy consumption and increase leakage detection reliability in a noisy environment.