Mining Operations
Mining Health & Safety
Mining fatigue management is the process of identifying and reducing fatigue risk across shifts, tasks, transport, and crews. A fatigue management program may combine roster review, supervisor procedures, worker input, monitoring technology, and regular review of results.
At a 24/7 mine, a roster can show when someone is off duty, but it cannot confirm how much restorative sleep they got or how alert they will be during a high-consequence task. Long or rotating shifts, night work, overtime, long commutes, camp conditions, and monotonous tasks can all affect alertness.
This guide explains how mine health and safety teams can assess fatigue risk, compare different approaches, respond to recurring camera alerts, and evaluate whether their controls are working.
Why fatigue risk is difficult to manage in mining
Fatigue risk is shaped by more than shift length. Travel, camp conditions, early muster times, and rotating rosters can affect workers’ opportunity to sleep. Long periods of driving or monitoring equipment can make it harder to maintain alertness.
Risk also varies by crew, task, time of day, and recent work pattern. A site-wide rule may not show which haul truck operator, underground worker, or personnel transport driver is facing the greatest risk on a particular shift. Contractor schedules and travel add complexity when work and rest information is spread across different teams.
Start with a mining fatigue risk assessment
A useful fatigue risk assessment connects work patterns to tasks where reduced alertness could have the greatest consequences. Review the information your site already has, then identify where you need better visibility.
- Map safety-sensitive work. Include haulage, underground work, mobile equipment, maintenance, and personnel transport where relevant.
- Review schedules and work demands. Look at night shifts, consecutive shifts, overtime, short turnarounds, roster changes, commute time, and contractor coverage.
- Look for patterns in safety data. Review camera or DSS alerts, near misses, incidents, self-reports, and supervisor logs by shift, crew, task, and time of day.
- Ask workers and supervisors. Their input can reveal issues that roster and incident data do not capture, such as poor rest conditions or tasks that become harder late in a shift.
Repeated camera alerts are a reason to investigate patterns, not a reason to dismiss the alerts. Document which risks matter most, who owns each control, and how the site will know whether the control is being used. Include worker participation and privacy in the process, especially when introducing monitoring technology. For a broader look at fatigue mitigation strategies for mining companies, see our related guide.
How mining fatigue management approaches differ
Different technologies measure or predict different things. A mine may use more than one approach, depending on the work, equipment, workforce, and conditions at the site.
| Approach | What it provides | Where it can fit |
|---|---|---|
| In-cab camera or DSS | Detects signs such as eye closure or head position and can alert the operator during a task. | In-cab intervention on equipment where the system is installed. |
| Wearable EEG, such as SmartCap | Measures brainwave signals and provides an individual fatigue signal while worn. | Operations that want real-time physiological monitoring and can support wearable use. |
| Wearable eye monitoring, such as Optalert Eagle Glasses | Tracks eyelid movement as an indicator of drowsiness. | Operations where workers can wear the glasses during monitored work. |
| Predictive fatigue software, such as Readi or PRISM | Uses data and models to help identify fatigue risk and inform interventions. | Sites looking for workforce-level risk visibility and a repeatable management process. |
These approaches are not interchangeable. Cameras and wearables can provide useful information during a task. Predictive software can add a view of risk before the task begins. Compare the tools against the decisions your safety team needs to make, rather than assuming one technology will address every source of fatigue. Read more about predictive and reactive fatigue management in mining and the Readi fatigue management system.
Where Readi can be a stronger fit
Readi is designed for mines that want to identify higher-risk shifts before crews enter the field and give supervisors time to review assignments or plan an intervention. It forecasts fatigue risk using schedule information and does not require a wearable; ReadiWatch is optional. See the overview of Readi for mining fatigue management.
That can make Readi a strong fit when a site needs to:
- Review fatigue risk across crews, shifts, and locations before work starts.
- Add predictive context to existing camera or DSS systems.
- Support underground or remote operations where connectivity is limited.
- Give supervisors a consistent way to review risk and record actions.
- Extend fatigue visibility across employees, contractors, and personnel transport.
Readi’s role is different from a system that measures brain activity or eyelid movement directly. A mine that requires a real-time physiological signal may value a wearable system for that purpose. A mine that needs to prioritize risk before a shift may value schedule-based forecasting. Some operations may use both predictive and in-task tools.
At one Central American mine, fatigue-related Caterpillar DSS camera alarms fell by 50% after Readi was added alongside the existing system. Fatigue Science also reports an audited 37% year-over-year reduction in DSS fatigue events at another mining operation. These are results from specific deployments, not guaranteed outcomes. Read about the 50% camera-alarm result and see Readi’s mining overview and reported results.
For examples in different operating environments, read about Readi use at an underground mine in Mexico and a mining contractor managing fatigue risk on 12-hour shifts.
How to respond when camera alerts keep recurring
A high number of alerts can create more work for supervisors and make follow-up harder to prioritize. The goal is to understand the pattern and connect alerts to a clear response process.
- Check the context. Review when and where alerts occur, which tasks are involved, and whether roster or work conditions changed.
- Follow the site response procedure. Check in with the worker or apply the appropriate control. Do not treat an alert count alone as proof of cause.
- Record what happened next. Log the action taken and whether the alert repeated, so the team can review both the signal and the response.
- Look for upstream changes. If patterns repeat, assess scheduling, workload, travel, task timing, and whether supervisors have useful pre-shift information.
This keeps camera systems in the safety process while giving HSE and operations teams more context for deciding what to review. For more on combining earlier risk visibility with in-shift alerts, see how Readi can complement fatigue camera systems in mining.
Measure whether the fatigue management plan is working
Review whether the program is being used and whether safety outcomes are changing. Process measures may include whether higher-risk shifts are reviewed, whether supervisor actions are logged, and whether recurring alert patterns are investigated. Outcome measures may include fatigue-related camera events, near misses, incidents, and operational disruption.
Compare like with like. Changes in camera settings, equipment, operating hours, or reporting practices can affect event counts. Record those changes so the team can interpret trends fairly. Review findings with workers, supervisors, and operations leaders, then update the plan when evidence points to a gap. Our Newcrest Lihir mining example describes a site-wide Readi deployment.
Questions mining safety teams ask about fatigue management
What does a mining fatigue management system do?
It helps a mine identify, assess, and manage fatigue risk through controls such as roster review, worker and supervisor procedures, monitoring, and regular evaluation. Some systems focus on in-task signs; others help forecast risk before a shift.
How does Readi differ from Cat DSS?
Cat DSS monitors operator attention in the cab and can alert when it detects signs of fatigue or distraction. Readi adds a predictive view of fatigue risk before the shift and can work alongside existing DSS equipment; it is not presented as a replacement for the camera system.
How does Readi compare with SmartCap and Optalert?
SmartCap uses wearable EEG monitoring, while Optalert Eagle Glasses track eyelid movement. Readi uses schedule information to forecast fatigue risk and does not require a wearable. The better fit depends on whether a mine needs physiological monitoring during a task, a forecast before the shift, or a combination.
Can Readi work underground?
Readi is designed to support offline use in underground and remote operations. Sites should confirm that the deployment fits their connectivity, device, and supervisor workflows before rollout.
Can a mine reduce camera alerts without removing its cameras?
A mine can keep its existing camera or DSS systems and add predictive context to help supervisors review risk earlier. One Central American mine reported fewer DSS camera alarms after implementing Readi alongside its existing camera system.
Build a fatigue management approach that fits your mine
Effective mining fatigue management connects risk assessment to everyday decisions: which shifts need review, what supervisors can do, and how the site learns from alerts and outcomes. The controls should fit the work, the workforce, and the conditions at each operation.
See how Readi supports fatigue risk management for mining operations, including haul truck operations, underground work, contractors, and personnel transport.
