Design and Development of an Intelligent IoT- Based Hazardous Gas Surveillance and Early Warning System Architecture for Occupational Safety in Confined Sewage Infrastructure

It remains difficult to protect workers in sewage pipes because dangerous gases including methane, ammonia and carbon monoxide together with other lethal substances accumulate persistently. The gases become fatal hazards which create dangerous health conditions unless technicians identify them right away. An intelligent Internet of Things-based hazardous gas surveillance and early warning system will be designed and developed for providing real-time hazardous gas level monitoring and control through the project implementation. A system employs Internet of Things-based sensors for constant gas concentration detection along with cloud connection services for data storage and alerting mechanisms together with integrated sensor data analysis for threshold evaluation. A smartphone application enables the device to rapidly send alerts about unsafe gas conditions surpassing specified safety benchmarks to distant users. The elimination of manual inspections while enabling continuous environmental monitoring becomes possible through this technology because it reduces human mistakes. Its scalability allows the system to support multiple urban infrastructure needs because it combines with larger smart city sanitation frameworks through integrated implementations. This architectural design makes the system affordable and easy to sustain for continuous surveillance. Experimental tests conducted in real sewage environments have demonstrated the system’s reliability and its reactivity as well as its practicality. Real- time hazard detection alongside early warning functions from this system generates improved working environments for sanitation workers thus increasing overall occupational safety.