Abstract
This paper presents a design and prototype of an IoT-based health and safety monitoring system using MATLAB GUI. This system, which is called the Smart Health and Safety Monitoring System, is aimed at reducing the time, cost and manpower requirements of distributed workplaces. The proposed system is a real-time control and monitoring system that can access on-line the status of consumable devices in the workplace via the internet and prioritise the critically high location that need replenishing. The system dynamically updates the status of all location, such as first aid boxes, earplug dispensers and fire extinguishers. Simulation results of the proposed system gives shorter path, time and cost in comparison to manual maintenance systems.
Highlights
IntroductionThe world has entered a new era of interconnectedness through advancements such as the Internet of Things (IoT)
Under rapid technological development, the world has entered a new era of interconnectedness through advancements such as the Internet of Things (IoT)
The results show that the system provides and saves approximately 50% of the time spent for the salesmen to replenish the equipment
Summary
The world has entered a new era of interconnectedness through advancements such as the Internet of Things (IoT). An existing network system can monitor, detect and remotely manage interconnected objects to facilitate the exchange of information according to user requirements This process is different from that used by governments and those employed in industries and production [3]. Data analytics in the realm of the IoT is increasingly being used by enterprises to limit maintenance costs, prevent equipment failure and guarantee compliance with regulatory requirements in H&S facilities This approach is applicable to sectors overseeing a large volume of assets and coordinating complex and distributed processes. The proposed prototype achieves high efficiency by using a genetic algorithm (GA), ant colony optimisation (ACO) algorithm and travelling salesman problem (TSP) With these algorithms, the system can find the shortest path within a short time and access the facilities whose devices are critically low and require maintenance or replenishment. The results reflect the effectiveness of the system relative to manual maintenance techniques in terms of time, cost, effort and manpower resources
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