Monitoring and Leak Detection of Hazardous Gas Using Internet of Things

The compounding of smart sensors with wireless communication technologies has been yielding highly effective Internet-of-Things (IoT) solutions for monitoring hazardous gases and leak detection in industrial facilities. In this research, the authors present the limitations in traditional gas detection methods, which fail to provide real-time monitoring and scalability, further failing to provide seamless integration with safety systems. These IoT-based systems continuously monitor gas concentrations to assess the environment in real-time. The IoT solutions deploy networked sensors, allowing for the precise, large-scale tracking of gas levels with full coverage and reduced risk of undetected leaks. In addition, the integration of GPS and advanced communication technologies allows these systems to pinpoint the location of gaseous emissions accurately. This means that onsite workers can have access to pertinent data to effectively perform rectification activities. Automated alarm responses and counteraction measures, such as halting production or initiating ventilation systems, further enhance the speed and efficiency of threat mitigation, reducing the impact on workers, infrastructure, and the environment. This paper explores the state-of-the-art techniques in IoT-based gas monitoring and leak detection, including the accuracy of sensors, wireless connectivity, and interfaces with cloud-based analytics and remote controls. It also addresses challenges such as sensor stability, data protection, and connection reliability. Despite these challenges, IoT-based gas monitoring remains a promising field for industries facing high risks in their production lines, with increasing demands for compliance and operational efficiency. Finally, this review offers opportunities for using machine learning to predict maintenance needs and blockchain for secure data exchange, which contributes to the growth of innovative technologies. Thus, IoT-based gas monitoring systems present a scalable, cost-effective, and essential means of promoting industrial safety and environmental sustainability.