Junaid Ahmed Memon, Abdul Rehman, Ahsan Ali, Sarwan Shah, H. Khan
{"title":"Design and Implementation of Smart Flowmeter for Urban Water Metering","authors":"Junaid Ahmed Memon, Abdul Rehman, Ahsan Ali, Sarwan Shah, H. Khan","doi":"10.1109/IECON49645.2022.9968961","DOIUrl":null,"url":null,"abstract":"Mismanagement of water resources is one of the most pressing issues in developing countries like Pakistan. With the burgeoning population growth and migration to urban spaces for economic opportunities, freshwater resources are becoming highly stressed and polluted. In this paper, we present the design of a cost effective low power flowmeter with embedded intelligence and remote telemetry for urban residential water metering applications. The study provides fundamental architecture of water metering IoT node and necessary details of implementation. Results of the study are presented in terms of power consumption, accuracy and reliability of device in lab and in field setting. The proposed system could assist developing cities in estimating realistic water demand and creating sustainable socio-political urban water policies at the decision-making level.","PeriodicalId":125740,"journal":{"name":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON49645.2022.9968961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mismanagement of water resources is one of the most pressing issues in developing countries like Pakistan. With the burgeoning population growth and migration to urban spaces for economic opportunities, freshwater resources are becoming highly stressed and polluted. In this paper, we present the design of a cost effective low power flowmeter with embedded intelligence and remote telemetry for urban residential water metering applications. The study provides fundamental architecture of water metering IoT node and necessary details of implementation. Results of the study are presented in terms of power consumption, accuracy and reliability of device in lab and in field setting. The proposed system could assist developing cities in estimating realistic water demand and creating sustainable socio-political urban water policies at the decision-making level.