J. Karthiyayini, Arpita Chowdary Vantipalli, Darshana Sailu Tanti, K. Malvika Ravi, Krtin Kannan
{"title":"IOT based AquaSwach","authors":"J. Karthiyayini, Arpita Chowdary Vantipalli, Darshana Sailu Tanti, K. Malvika Ravi, Krtin Kannan","doi":"10.1109/AISP53593.2022.9760657","DOIUrl":null,"url":null,"abstract":"This paper is propelled from the generally existing project which is undertaking under the smart water quality management, which addresses an IoT (Internet of things) based brilliant water quality observing (SWQM) framework which we call it AquaSwach that guides in proper estimation of water condition dependent on five actual parameters i.e., temperature, pH, electric conductivity and turbidity properties and water purity estimation each time you drink water. Six sensors relate to Arduino-Mega in discrete way to detect the water parameters. Extracted data from the sensors are transmitted to a desktop application developed in NET platform and compared with the WHO (World Health Organization) standard values. The system consist of several sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, PH, turbidity, flow sensor of the water can be measured. The measured values from the sensors can be processed by the core controller. The Arduino mega model can be used as a core controller. Finally, the sensor data can be viewed on internet using WI-FI system. With the help of a wireless GSM (Global System for Mobile communication), the customer will be informed about the condition of the filter, and the service provider is immediately informed of replacing the filter.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"60 1","pages":"1-12"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISP53593.2022.9760657","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
This paper is propelled from the generally existing project which is undertaking under the smart water quality management, which addresses an IoT (Internet of things) based brilliant water quality observing (SWQM) framework which we call it AquaSwach that guides in proper estimation of water condition dependent on five actual parameters i.e., temperature, pH, electric conductivity and turbidity properties and water purity estimation each time you drink water. Six sensors relate to Arduino-Mega in discrete way to detect the water parameters. Extracted data from the sensors are transmitted to a desktop application developed in NET platform and compared with the WHO (World Health Organization) standard values. The system consist of several sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, PH, turbidity, flow sensor of the water can be measured. The measured values from the sensors can be processed by the core controller. The Arduino mega model can be used as a core controller. Finally, the sensor data can be viewed on internet using WI-FI system. With the help of a wireless GSM (Global System for Mobile communication), the customer will be informed about the condition of the filter, and the service provider is immediately informed of replacing the filter.