IOT-Based Gas Leakage and Fire Detection System with Automated Emergency Response for Industrial Safety
Dr K Chithra1, N Ashwini2, V Eshwari3, P Indhuja4, A Kayalvizhi5, S Manikkavalli6
1Associate Professor, Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India
2Student, Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India
3 Student, Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India
4 Student, Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India
5 Student, Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India
6 Student, Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, Chromepet, Chennai, Tamil Nadu, India
Abstract - The flammable gas leakage and fire accidents in industrial environments leads to significant risks to the life of workers and the residents in surrounding areas. The proposed article aims to reduce these disastrous incidents with the help of IoT- based intelligent gas and fire leakage detection system that integrated with an automated emergency response mechanism. In this proposed system, an MQ-4 sensor is used to detect the emission of harmful methane gas. Depending upon the gas leakage percentage, an LED will glow as a white light for low leakage of methane gas and a red light for high leakage, along with an LCD display in both the inside of the industry area and a traffic signal for public alert. In case of any fire accident, a flame sensor will detect the fire, and safety measures such as a water dispenser are also added in this proposed system. This project gives a solution to enhance industrial safety, reduces human dependency and the incident prevention is provided by real-time data analysis
Key Words: MQ-4 Sensor, Liquid Crystal Display, Light-emitting diode, Gas leakage detection
