Use Cases > Onsite Human Safety Management

Onsite Human Safety Management

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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.

Business Viewpoint

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.

Stakeholder Viewpoint

Employees: Employees expect their employers to prioritize their safety and well-being in the workplace. They rely on safety protocols, training, and equipment to protect themselves from hazards and risks. Providing a safe work environment demonstrates employers' commitment to their employees' welfare and fosters trust and loyalty.

Safety Officers: Safety officers are responsible for implementing and enforcing safety policies, conducting risk assessments, and training employees on safety procedures. They play a critical role in identifying potential hazards, addressing safety concerns, and promoting a culture of safety within the organization.

Technology Viewpoint

Wearable Devices: Wearable devices equipped with sensors, GPS tracking, and communication capabilities are used to monitor employees' vital signs, location, and movements in real-time. These devices can alert employees and safety personnel to potential safety hazards, emergencies, or health risks, allowing for rapid response and intervention.

IoT Sensors and Monitoring Systems: IoT sensors and monitoring systems are deployed to collect data on environmental conditions, such as temperature, humidity, air quality, and noise levels. These sensors provide insights into potential safety hazards, such as chemical leaks, fires, or equipment malfunctions, enabling businesses to take preventive action and mitigate risks proactively.

Data Viewpoint

Incident Reporting and Analysis: Onsite human safety management systems collect data on safety incidents, near misses, and hazards reported by employees. This data is analyzed to identify trends, root causes, and areas for improvement, allowing businesses to take proactive measures to prevent future incidents.

Compliance Monitoring: Data is used to monitor compliance with safety regulations, standards, and internal policies. By tracking key performance indicators (KPIs) related to safety, businesses can ensure that safety protocols are being followed and take corrective actions when necessary to maintain compliance.

Deployment Challenges

Safety Protocols and Training: Businesses develop and implement safety protocols, procedures, and training programs to educate employees about safety hazards, emergency procedures, and the use of personal protective equipment (PPE). Training sessions are conducted regularly to ensure that employees are aware of safety best practices and procedures.

Safety Technology Solutions: Businesses deploy safety technology solutions, such as wearable devices, sensors, and monitoring systems, to detect safety hazards, monitor environmental conditions, and alert employees to potential risks in real-time. These technologies help businesses identify and mitigate safety risks proactively, preventing accidents and injuries.

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