TAGRA 2025

The detection of methane gas is critically important for safety, environmental monitoring, and industrial process control, particularly in enclosed or high-risk areas such as laboratories, landfills, and gas pipelines. In confined spaces, excessive methane concentrations can result in explosions or suffocation, while its emission into the atmosphere significantly contributes to climate change due to its strong greenhouse effect. Conventional gas detection methods, such as gas chromatography and infrared sensing, tend to be expensive and require specialized handling. Therefore, this project focuses on the development of a sensor array integrating MQ2, MQ4, and MICS sensors, combined with an IoT-based monitoring platform, to enhance methane detection accuracy, real-time monitoring and provided sensing response performance comparison. The main objective of this project is to develop a methane gas detection system using a sensor array consisting of three commercial gas sensors which are MQ2, MQ4, and MICS5524. All the commercial was exposed to the methane gas for detection at the same time and environment simultaneously. The performance of each sensor will be analyzed by evaluating its sensing response and response time under six methane concentrations ranging from 5000 to 10,000 ppm. In parallel, the sensor array will be integrated with an IoT platform using Adafruit to enable real-time data monitoring and visualization. The results demonstrate that the combined sensor array successfully detected methane within the desired range, with the MQ2 sensor exhibiting highest sensing response at 7000 ppm concentrations, while MQ4 showed stable performance at higher ppm levels and the lowest sensing response of MICS 5524. The real-time monitoring system demonstrated reliable data monitoring to Adafruit with minimal latency and stable signal streaming. The successful integration of the sensor array with the IoT platform further proved the system’s practicality and readiness for field deployment.