IoT BASED FIRE ACCIDENT PREVENTION WITH EV MULTIFAULT DETECTION

The IoT-based Electric Vehicle (EV) Fire Accident Prevention and Multifault Detection system is designed to enhance vehicle safety by continuously monitoring critical parameters and providing real-time alerts to prevent accidents and fire hazards. The system employs a microcontroller as the central processing unit, which collects data from multiple sensors, including engine temperature, battery voltage, and ambient temperature sensors, essential for detecting abnormal operating conditions. The regulated power supply ensures stable operation of the microcontroller and connected modules. Sensor data is processed in real-time and compared against predefined thresholds, and if any parameter exceeds safe limits, the system immediately triggers a buzzer for audible warning and displays detailed fault information on an LCD screen. The driver module further controls vehicle operation by reducing or stopping motor activity during critical fault conditions to prevent potential accidents. Through IoT connectivity, the system transmits live data to a PC or cloud platform for graphical visualization, remote monitoring, and early fault detection, enabling predictive maintenance and timely intervention. By integrating sensing, processing, alert mechanisms, motor control, and IoT communication, the system provides a comprehensive, automated, and scalable solution for enhancing electric vehicle reliability. This approach not only minimizes fire risks and operational hazards but also ensures rapid emergency response and improves overall safety. The proposed system demonstrates the effectiveness of combining real-time monitoring with intelligent control and remote communication to provide a robust safeguard for electric vehicles, contributing to safer transportation and reduced accident-related damages.