Cloud-Based IoT System for Real-Time Monitoring and Filtration of Industrial Wastewater for Multi-Purpose Reuse

Abstract: Industrial wastewater containing harmful chemicals, heavy metals, and suspended solids poses severe environmental risks if discharged without treatment. Traditional laboratory-based testing is time-consuming and lacks real-time capability. This paper presents a cloud-based IoT system for real-time monitoring and automated filtration of industrial wastewater using an Arduino UNO integrated with pH, turbidity, temperature (DS18B20), and TDS sensors. Sensor data is transmitted to the ThingSpeak platform via the ESP8266 Wi-Fi module for remote visualization. An L298N motor driver controls a water pump for automated filtration, and a buzzer activates when parameters exceed safe thresholds. Experimental results confirm effective detection before and after filtration with real-time cloud updates. The proposed system is cost-effective, scalable, and suitable for industrial wastewater management and environmental compliance.

Keywords: IoT, Arduino UNO, water quality monitoring, pH sensor, TDS sensor, ThingSpeak, ESP8266, industrial wastewater.