IOT BASED TEMPERATURE CONTROL EXHAUST FAN FOR INDUSTRY

Abstract: The rapid advancement of industrial automation necessitates robust environmental monitoring systems to ensure operational safety and equipment longevity. Conventional exhaust systems often rely on manual intervention or simple thermostat-based triggers, which lack precision and fail to address hazardous gas accumulation or remote accessibility. To mitigate these challenges, this paper proposes an intelligent, IoT-based environmental control system designed for real-time monitoring and automated thermal management. The proposed solution integrates an ESP32 microcontroller as the central processing unit, leveraging its dual-core capabilities and built-in WiFi for seamless cloud connectivity via the MQTT protocol on the HiveMQ platform. The system incorporates a multi-sensor array comprising a DHT11 for ambient temperature and humidity tracking, a highprecision DS18B20 sensor for localized exhaust thermal monitoring, and an MQ-5 sensor for detection of LPG and combustible gas leakages.

A dual-mode control logic is implemented, allowing the system to operate autonomously based on pre-defined safety thresholds—specifically triggering ventilation when ambient temperatures exceed 30°C or gas levels surpass 500 PPM— while simultaneously providing a manual override feature through a professional-grade web dashboard. This dashboard facilitates real-time data visualization through dynamic charts and allows for the remote adjustment of exhaust thermal limits. Expected results indicate a significant reduction in response time to critical environmental changes and enhanced preventive maintenance through detailed PDF data logging. The practical benefits of this system include improved industrial safety, energy efficiency through demand-based fan operation, and the ability to monitor hazardous environments from any location, making it a scalable solution for modern smart infrastructures. factories and laboratory