Open AccessDesign and Implementation of an IoT-based River Water Salinity Monitoring System Using MSP432
Author(s) -
Tuyen Phong Truong,
Duc Thanh Nguyen,
Thuc Huynh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1878/1/012023
Subject(s) - upload , salinity , computer science , cloud computing , gateway (web page) , the internet , web server , internet of things , environmental science , microcontroller , database , water resource management , operating system , world wide web , embedded system , ecology , biology
The drought and salinity intrusion in the Mekong Delta in the years has become more and more serious, but in this region, the system automatically measures and collects water salinity data at either the river mouths or the canal has not been deployed and used widely due to the high investment cost. The goal of this study is to design a monitoring and data acquisition on river water salinity based on the IoT (Internet of Things) technology. The sensor nodes are designed by using the Texas Instruments MSP432 microcontrollers to read data from sensors such as water level, temperature, and salinity. This information is encapsulated and then send to a gateway via a LoRa network. The gateway uses the Raspberry Pi 3 B+ board allowing to receive the data from the sensor nodes and upload data to the cloud server through the Internet connection. A webpage is designed to offer everyone to observe measured parameters rapidly so that the people can take a proactive plan to take water for domestic use and production activities. An experiment to evaluate the performance of our proposed system was carried out in Soc Trang province, Mekong Delta, Vietnam with initial positive results.