IoT Based Master Slave Waste water management for industries

Computer Science Engineering

Wastewater treatment in industrial settings is essential for guaranteeing environmental sustainability and regulatory compliance. This overview describes a cloud-based industrial Internet of Things (IoT) system designed for real-time wastewater monitoring. The suggested IoT system integrates sensors, actuators, and cloud-based platforms to provide continuous monitoring and control of multiple parameters related to wastewater management. The sensors are positioned throughout the wastewater system to pick up on crucial elements including pH levels, temperature, turbidity, and certain gases. We are using an Arduino board, which is connected to all of our sensors. The NodeMcu, the project's master NodeMcu, gets sensor-sensing data from the Arduino and transmits it to the cloud. A cloud-based platform receives the acquired data and stores, processes, and visualises it. Operators in the industry and employees in environmental management can get real-time data on the state of wastewater parameters through the cloud-based platform. This makes it possible to take proactive decisions and move quickly to address any deviations or irregularities. To notify the appropriate individuals of urgent conditions, such as excessive pollution levels or equipment breakdowns, alerts and notifications can be sent to the administrator. The use of the ThingSpeak cloud platform for wastewater data monitoring is covered in this abstract, along with how the MIT application was integrated for better analysis and decision-making. The MIT programme uses advanced analytics to extract valuable insights from the gathered data whereas ThingSpeak is a cloud-based Internet of Things (IoT) platform that offers real-time data gathering, storage, and visualisation capabilities.

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