IOT BASED AUTOMATIC EXHAUST GAS EMISSION MONITORING SYSTEM FOR COMMERCIAL VEHICLES

Abstract

The increasing number of commercial vehicles on the roads has led to a significant increase in exhaust gas emissions, which contribute to air pollution and environmental degradation. The proposed IoT -based automatic exhaust gas emission monitoring system offers a solution to this problem by providing a cost-effective, efficient, and accurate way of monitoring the emissions of commercial vehicles. The system is designed using a PIC16F877A microcontroller, which is responsible for controlling the overall functionality of the system. It communicates with an ESP8266 Wi-Fi module to collect data on the emission levels of the commercial vehicle. The collected data is displayed on an LCD screen, allowing the driver and passengers to see real-time emission levels. The system also uses a GPS module to track the location of the commercial vehicle. The GPS data is transmitted to the central server, along with the emission data, through a GSM module. This allows for real-time monitoring and analysis of the emissions data, providing a more accurate and reliable way of assessing the impact of commercial vehicles on the environment. The system is capable of measuring various gases, including carbon monoxide (CO), carbon dioxide (CO2), nitrogen oxide (NOx), and other harmful gases. The system provides an early warning system, alerting the driver when the emission levels exceed the permissible limit. The driver can then take appropriate action, such as reducing the speed or stopping the vehicle. Key Words: Internet of Things (IOT), GPS, GSM, SENSOR MODULES.