FATIGUE MONITORING and will play a pivotal role in the daily review of operators ' ReadiScore data , which is calculated using sleep data from their ReadiWatches .
Every shift will begin with a comprehensive review of workers ' fatigue data . If an operator is found to have a ReadiScore below 70 , they will be reassigned to surface-level tasks or temporarily removed from duty . This go / no-go decision-making process ensures that operators who are fit for duty are allowed to perform highrisk underground tasks .
Further , supervisors communicate with workers to understand the underlying reasons for their fatigue - whether due to personal factors , illness , or other issues . Recurrent cases of fatigue are escalated to the clinic for medical evaluation .
Readi will also become a cornerstone in the mine ’ s incident investigation process , helping to analyse fatigue as a potential contributing factor in any operational incident . Supervisors will document all fatigue-related decisions and countermeasures , including task reassignment or the need for medical evaluation , in real time through the Readi web app . This documentation will help streamline communication between the Control Center , supervisors , and the Occupational Health team , ensuring that any fatigue-related issues are addressed quickly and effectively .
“ Even without connectivity , Readi can provide hour-by-hour fatigue scores for each operator and play a central role in the mine ' s fatigue management plan , something other systems cannot provide . This allows the mine to continuously monitor fatigue risks without relying on infrastructure that simply doesn ’ t exist in underground settings .”
The company concludes : “ By implementing Readi , this Mexican mine is leading the way in fatigue management for underground operations . With Readi , the mine can prevent fatigue-related incidents and ensure that only workers who are fit for duty enter the high-risk underground environment .”
Hexagon - the power of OAS and CAS together
As stated , increasingly there is a move to integrate fatigue monitoring technology with collision avoidance technology and leading this charge is Hexagon . Its fatigue and distraction management solution is called the Hexagon OP Operator Alertness System ( OAS ) and it helps operators of heavy and light vehicles to maintain the level of attention necessary for long hours and monotonous tasks . It adds : “ Integrated with Hexagon OP Collision Avoidance System ( CAS ), OAS uses sophisticated computer vision technology to provide a real-time fatigue and distraction risk status and traffic awareness to operators via unobtrusive , operator-friendly displays .” This use of both technologies together is discussed in detail in this issue in the collision avoidance technology article .
With Hexagon ’ s OAS , high-performance computer vision algorithms detect fatigue events , such as microsleeps or distraction . The system issues distinct audible alerts in the cabin to avert imminent accidents . Other alerts can be offered from GPIOs ( General Purpose Inputs Outputs ). The system also provides visual alerts in case of tampering . Operators receive an auto-diagnosis of errors via cabin display .
Integration means that existing CAS installations are easily upgradable to OAS-HV . OAS-HV and CAS are fully upgradeable to pedestrian detection with the latest release of HxGN Personal Alert . Obstacles detection can be upgraded by integrating with HxGN Tracking Radar . Vehicle intervention for open pit mines is available by upgrading to the HxGN Vehicle Intervention System .
HxGN MineProtect OAS Analytics allows for visualisation of CAS events via the forward-facing camera when OAS and CAS are both installed . These videos add context and provide a platform for continuous improvement .
The ability to see an operator who is struggling to stay awake or maintain vigilance and focus is key in making a potentially lifesaving decision to stop a truck . Videos help mine teams identify operators who are exhibiting higher-than-average numbers of events . This data
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