Chamod Weerasinghe, L. Padhye, Suranga Nanayakkara
{"title":"Design and Evaluation of a Mobile Sensing Platform for Water Conductivity","authors":"Chamod Weerasinghe, L. Padhye, Suranga Nanayakkara","doi":"10.1109/SENSORS52175.2022.9967052","DOIUrl":null,"url":null,"abstract":"Electrical conductivity (EC) is one of the many water quality parameters that provides an indication of total ionic contaminants in water. This is traditionally measured with either lab-based equipment or battery-powered portable meters. These tools are expensive and require expertise to use, hindering their widespread adoption. We aim to address this challenge based on a custom-made electrode and processing unit that can be plugged into a smartphone via the USB port. In this paper, we present the design, development and evaluation of our mobile sensing system that is low cost (< 35 USD), easy-to-use (SUS score of 89.3) and accurate. Our initial testing suggests that the sensor is able to measure EC with < 3% root mean squared percentage error compared to a lab-based instrument. We believe our approach will empower a large group of people to contribute to water quality measurements.","PeriodicalId":120357,"journal":{"name":"2022 IEEE Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS52175.2022.9967052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Electrical conductivity (EC) is one of the many water quality parameters that provides an indication of total ionic contaminants in water. This is traditionally measured with either lab-based equipment or battery-powered portable meters. These tools are expensive and require expertise to use, hindering their widespread adoption. We aim to address this challenge based on a custom-made electrode and processing unit that can be plugged into a smartphone via the USB port. In this paper, we present the design, development and evaluation of our mobile sensing system that is low cost (< 35 USD), easy-to-use (SUS score of 89.3) and accurate. Our initial testing suggests that the sensor is able to measure EC with < 3% root mean squared percentage error compared to a lab-based instrument. We believe our approach will empower a large group of people to contribute to water quality measurements.