IoT Based Automation of Real Time In-Pipe Contamination Detection System in Drinking Water

With the recent advancement in the communication technologies, the real time in-pipe water quality monitoring system is gaining more importance. This work describes the recent development in the field of in-pipe real time contamination detection system. In addition, a contamination detection system is developed based on the emerging Internet of Things technology. The system samples the water at regular time intervals supplied through pipelines to the consumers/public. The real time data are analyzed using fuzzy synthetic evaluation and uploaded over the internet/cloud. When contamination is detected in the water, the system sends an alarm/alert to the consumers regarding the water quality parameters and prevents the further flow of water in the contaminated region in the pipe using a solenoid valve. The other region which supplies quality water to the consumers in the water distribution network remains flowing. The results demonstrate that the developed system is capable of analyzing the water quality parameters in real time and can successfully process, transmit data to the cloud and intimate the users about the contamination in the particular region.