WATER QUALITY MONITORING SYSTEM

dc.contributor.advisorAbu Gharbyeh, Elayan
dc.contributor.authorShweiky, Islam
dc.contributor.authorAbu Yousef, Shereen
dc.contributor.authorSalah, Hazem
dc.date.accessioned2022-12-12T12:07:49Z
dc.date.available2022-12-12T12:07:49Z
dc.date.issued2021-06
dc.description.abstractIn today’s times, due to urbanization and pollution, it has become necessary to monitor and evaluate the quality of water reaching our homes and life. Water pollution is one of the biggest fears for the green globalization. In order to ensure the safe supply of the drinking water the quality needs to be monitor in real time. The conventional method of water quality assurance that involve collecting water samples manually and send it to laboratory for testing and analysis, which are not only costly but also time consuming and lack speedy distribution of information to the consumer or the concerned party for making timely and informed decisions, and is prone to human errors. Through this project, we aim to solve these problems to ensure water quality by building a Water Quality Monitoring system (WQM) that helps in measurement of water status based on four water quality parameters (Temperature, PH, Total Dissolved Solids (TDS) and Turbidity) have been selected to monitor the water quality. Four sensors are connected to the Raspberry pi in a separate way to detect water parameters. The system can transfer the data extracted from the sensors to the mobile app and web page using Raspberry pi Wi-fi. Based on the measured result, the (WQM) system can successfully analyze water parameters to classify whether or not the test water sample is potable, and issue warnings in cases that may not be potable. This project combined embedded systems with the Internet of Things (IoT) as Industrial Internet of Things (IoT) applications in real-time operation.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/8782
dc.language.isoenen_US
dc.subjectwater quality, IoTen_US
dc.titleWATER QUALITY MONITORING SYSTEMen_US
dc.typeThesisen_US

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