An IoT-assisted Intelligent Monitoring System

Objective: The Remote Sensing (RS) technology has a significant impact on overcoming challenges of water and wastewater systems nowadays. This study aimed to introduce a new way for greywater treatment by air injection into a tank containing organic agents. Methods: In the current study, home-produced wastewater from the kitchen, bathroom, and washing machine except from the toilet, was considered as graywater. Graywater (300mg/L of oxygen demand for 5 days, BOD5) was treated in an aerobic system controlled by RS, which consisted of sequencing batch reactors (SBR). Results: The increased air volume injection into the SBR-containing graywater led to a decrease in influent pollution and an increase in treatment efficiency. The pollution decreasing percent was 0.12 and the treatment efficiency was increased to 95%. Conclusion: The greywater irrigation is done underground and drip. As a result, with the increase in irrigation efficiency, the system becomes more economical. The advantages of the system are more apparent to consumers. In this context, it is better to conduct future research carried out by smart control systems, RS, networked sensors, modems, data loggers, IoT, and geodatabase intercommunication processes based on the GIS. The GIS can investigate the low water resources regions and dense population villages.