A Novel Approach on IoT Based Waste Water Management System in Industries

Water is an essential part of living organisms. Major water pollution is caused due to contamination of industrial waste water into river. The most important step in bringing wastewater contaminants down to levels that are safe for nature is wastewater treatment. The contamination of river water harms both humans, who consume it and the aquatic life that lives there. This study introduces a new cloud-based Industrial Internet of Things (IIoT) paradigm in this work for real-time control and monitoring of wastewater. The proposed system prevents prohibited entry of industrial wastewater into the plant by monitoring temperature, potential of Hydrogen(pH), toxic gas and turbidity factors from the wastewater input that the wastewater treatment facility will process. Real-time sensor values are collected and uploaded to the cloud by the system using an Internet of Things (IoT) Wireless-Fidelity (Wi-Fi) Module and the user notified with the help of cayenne app indicating the increase in value and through buzzer controlled by the user. By doing so, the contamination of industrial waste water entering the river can be prevented earlier, and the necessary actions will be taken by the users. The results of the proposed system are 90% efficient, preventing water pollution due to industry and protect human lives.