IoT-Enabled Water Pollution Detection for Real-Time Monitoring and Pollution Source Identification with MQTT Protocol

Global water pollution threatens the health and the environment. Many traditional water quality monitoring techniques require timely and accurate data. Sensors, cloud computing, and the MQTT protocol are used in the paper's innovative approach to address the gap. The paper presents an Internet of Things (IoT) system strategically deploying sensors at water monitoring sites. Chemical composition, pH, dissolved oxygen, and pollutants may be measured using these sensors. A cloud-based platform receives these sensors' real-time data through MQTT. Storage, processing, and analysis are centralized on the cloud. The cloud computing solution can effectively process huge amounts of data and give real-time water quality trends and aberrations. It has a major contribution to identifying pollution sources. By analyzing sensor data in the cloud, the technology can detect pollution sources. This allows rapid reaction and tailored treatments to reduce pollution and stop its spread. By providing real-time monitoring, data analysis, and pollution source identification, the technology helps environmental agencies, regulatory organizations, and water management authorities make quick decisions. Water, ecological systems, and public health may be protected by this integrated IoT solution.