A Minimalist Model of IoT based Sensor System for Sewage Treatment Plant Monitoring

This paper presents an effective IoT approach to monitor a Sewage Treatment Plant (STP) status using a small set of critical sensors connected to Arduino microcontroller boards communicating using Wi-Fi networking technology. STP plants are very crucial to maintain environmental safety. The method discussed in this paper applies three critical sensors to measure the sewage plant’s status and sends the data to a cloud-based local server in real-time. These three sensors are temperature, turbidity and pH sensors. Besides, STP’s power consumption status is also monitored to identify any intentional shutdown of the plant. On the visualization side, a web-based application shows time-stamped data in different time scales of the changing status of the STP. The data are stored in a secured cloud system for further analysis. The sensor set used in the system has been proved effective to monitor operational status of STP plants and gives us a cost-effective decision-making tool for running a STP installation remotely. Our experience shows Arduino based Wi-Fi module used in our system is more cost-effective than a GSM based system for applications at underground levels.