Real-time water quality system in internet of things

11th Curtin University Technology, Science and Engineering (CUTSE) International Conference

工业技术（总论）

Cho Zin, M.^1 ; Lenin, G.^1 ; Huo Chong, L.^1 ; Prassana, M.V.^2

Department of Electrical and Computer Engineering, Faculty of Engineering and Science, Curtin University, CDT 250, Miri, Sarawak

98009, Malaysia^1

Department of Applied Geology, Faculty of Engineering and Science, Curtin University, CDT 250, Miri, Sarawak

98009, Malaysia^2

关键词: Internet of Things (IOT);    Laboratory experiments;    Laboratory measurements;    Monitoring water quality;    Very high speed integrated circuits;    Water quality monitoring;    Water temperatures;    ZigBee wireless communication;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/495/1/012021/pdf
DOI  :  10.1088/1757-899X/495/1/012021

学科分类：工业工程学

来源: IOP

【 摘 要 】

Wireless Sensor Network (WSN) in Internet of Thing (IoT) is used in different areas of research for monitoring, collecting and analysing data from remote sites. This paper presents a WSN based reconfigurable interface device for water quality monitoring (WQM) in an IoT environment. The proposed WQM system consists of sensors, Field Programmable Gate Array (FPGA), Zigbee wireless communication protocol and personal computer. The system is designed for monitoring water quality such as water temperature, water level, water pH, turbidity of water and Carbon dioxide on the surface of water. The FPGA board is the heart of the system and a Very High Speed Integrated Circuit Hardware Description Language and C++ are used for software system of the proposed designed device. The proposed system collected the data in parallel and in real time basis with high speed from multiple different sensor nodes. The results of the proposed system were validated with the laboratory experiments. Based on the results, it can be concluded that there was no significant difference of water data measurement between the proposed system and the laboratory measurement. The proposed WQM system was able to minimise the operating time, cost and power consumption.