One of the things we experience regularly in the human factors world is working in complex, hazardous and technical engineering environments.
At IHF, we are always incredibly impressed with predictive analytics that enable predictive maintenance in relation to the technical aspects of the system.
Pumps, sensors, control systems, control rooms and so on. They have more KPIs and more monitoring points, than you care to think of.
However, what surprises us even more though, is that organisations often do not have the same approach for the human asset in these hazardous and safety-critical environments.
In other words, using “predictive maintenance” to protect people. For example, using predictive analytics to enable a healthy break and substitution culture whilst validating shift pattern and working hours planning.
Part of the issue is that this has been incredibly difficult to monitor, up until now.
The BaselineNC™ workplace fatigue monitoring wearable enables a “predictive maintenance” approach — that is often utilised in asset performance management (APM) — in relation to the pre-emptive detection of the onset of worker fatigue and heat stress with real-time data collected from an energy-efficient, lightweight, mobile and unobtrusive wrist-worn industrial internet of things (IIoT) device.
This is achieved by utilising predictive analytics — to detect signs of worker fatigue — through real-time monitoring of individual workers baselined biometric data with 98% accuracy (such as blood oxygen saturation, galvanic skin response, heart rate variability (RR), movement patterns using a 6-axis accelerometer and skin temperature).
Allowing organisations to support, monitor and — if required — maintain the people that exist within our systems.
There is no point in having a huge amount of predictive analytics and predictive maintenance on the technical aspect of our system — and the engineering part of our system — if we do not do the same thing for the most valuable and most vulnerable part of the system, our people.
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The BaselineNC workplace fatigue monitoring wearable project is also EIT Urban Mobility funded and was recently featured as part of the Impact Stories series: Wearable technology for human error prevention in transportation
