Enhancing Industrial Occupational Safety through an IoT-based Monitoring and Access Management | Chapter 6 | Research and Developments in Engineering Research Vol. 9

 This research directed on the successful deployment of an IoT-located monitoring and approach control system for alcohol, fire and Liquefied Petroleum Gas (LPG) to considerably enhance business safety and hazard management inside an industrial scene. The implementation of the industrial mechanization monitoring system was organized on the Internet of Things (IoT) example. This system serves to bolster approach control and safety administration within the storage convenience of a prominent industrial plant. The system surveys the surroundings for potential risks of LPG leakages and fire hazards. The system's sensor modules, comprising intoxicating, LPG, and fire sensors, capture relevant data that is then sent to microcontrollers for processing. The NodeMCU microcontroller plays a pivotal part in initiating the IoT-located alert mechanism. It accomplishes this by expediting processed data to the ThingSpeak podium, SMS alerts, and the designated site accessible to authorised employees. The listening framework acts alcohol level checks on employees before authorizing them approach to the facility. The system's response is not restricted to issuing alerts; it also generates the activation of the fire abolition system through the sprinkler revolution. In real-occasion, the system swiftly scatters alert and alarm notifications to fault-finding stakeholders in the HSE department, fire commission, security units, and additional authorized crew. This communication is facilitated through the manufacturing's dedicated site and a designated GSM line. By implementing this IoT-compelled monitoring system, the industrialized storage convenience has effectively taken full of enthusiasm measures to mitigate institution hazards. This includes preventing the vicinity of intoxicated attendants on-site, averting potential LPG leakages, and minimizing the risk of fire outbreaks.

Author(s) Details:

Ugwechi Wejie-Okachi,
Department of Computer Engineering, Rivers State University, Port Harcourt, Nigeria.

Tamuno-Omie Joyce Alalibo,
Department of Computer Engineering, Rivers State University, Port Harcourt, Nigeria.

Emmanuel Chinweikpe Obuah,
Department of Electrical Engineering, Rivers State University, Port Harcourt, Nigeria.

Please see the link here: https://stm.bookpi.org/RADER-V9/article/view/12229