Summary

Onsite human safety management refers to a collection of systems, processes, and tools, that ensure worker safety at construction, manufacturing, or other industrial sites.

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Usecase:Onsite Human Safety Management

Overview

Onsite human safety management refers to a collection of systems, processes, and tools, that ensure worker safety at construction, manufacturing, or other industrial sites. They are commonly used in industries that have hazardous materials or heavy vehicles or assets moving in close proximity to people, such as in construction and aerospace. The introduction of IoT devices improves the level of visibility into employee health and safety. Intelligent Wearables such as watches, helmets, and vests can continuously capture vital physical metrics like heart rate, skin temperature, movement, activity, and location. In parallel, environmental sensors record critical information about working conditions and potential dangers. By leveraging an advanced analytics platform situational data from sensors can be distilled into actionable insights that are visualized at a management console or on mobile devices. In addition to identifying potential workplace hazards, time series data enables better decision-making related to the design of facilities to systematically reduce EHS risks.,

1. Faster Emergency Response As critical events experienced by employees are instantly reported to the command center, pre-determined, automated workflows can be executed to accelerate evacuation and rescue activities. For example, when a worker falls from a height or suddenly passes out, alerts are triggered at the safety control center for timely dispatch of medical aids. Similarly, if atmospheric gas levels surpass the tolerated threshold or an imminent explosion is detected, employees are immediately notified and evacuated out of the endangered areas. 2. Enhancing workers’ health, wellness, and productivity Improved visibility into work environments also help avoid prolonged exposure to harsh conditions like CO2, radiation, noises, heat or humidity. Sensor data enables managers to watch out for any signs of fatigue, dehydration or exhaustion encountered by their workers, thus encouraging them to take a recovery break, as needed. Minimizing overexertion not only improves overall productivity, but also reduces the risk of injuries, accidents and chronic diseases. 3. Diagnosing and preventing future incidents Beyond reactive responses, predictive analytics fueled by massive field sensor data allows for anticipating and preventing hazards ahead of time. For example, smart sensors installed on rock bolts measure seismic activities in underground mines and help detect the potential collapse of unstable shafts. If a threat is identified, operation in these areas will be banned or preventive measures will be taken to circumvent mishaps. Likewise, condition monitoring and predictive maintenance minimize failures of critical assets like pumps and pipelines. The explosion risk of gas leaks can, therefore, be reduced. With remote tracking, heavy machinery that is not in use, but still functioning, can be identified for shutdowns. This helps bypass equipment accidents and improve efficiency.

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