In industrial risk environments, quick access to data supports the development of preventive and/or corrective strategic actions. When this information relates to productivity and operational safety, it becomes even more valuable. However, many current indicators still have a reactive nature, making it difficult to analyze actions during task execution.
Illustration of James Reason's “Swiss Cheese” model theory.
The Role of Safety Barriers
Workplace safety is influenced by process integrity, operational structure, technical skills, culture, and organizational climate. These factors help quantify human elements that are essential for effective decision-making. Safety barriers help identify and mitigate risky behavior, especially when data is collected throughout the workday, allowing for a more human-centered approach.
Representation of barriers as a risk mitigation element.
Traditional vs. Dynamic Barriers
Traditional barriers, such as flashing lights, sirens, cones, and warning signs, are still widely used. However, with wearable technology, it's possible to dynamically monitor physiological variables like heart rate variability, skin temperature, and movement. These readings, processed locally by biosensors, enable continuous monitoring by health and safety teams, helping to prevent the progression of unwanted conditions through human-based barriers.
Example of physiological parameter monitoring.
Human Reliability and Monitoring Strategy
Human reliability analysis depends on measuring the human error associated with tasks. This requires understanding the factors that influence the performance of professionals in different sectors or specific activities. With this information, more effective and tailored monitoring strategies can be designed.