Mining Equipment Monitoring Software

Single dashboard showing the health status of every piece of equipment in the fleet -- haul trucks, excavators, drills, dozers, graders -- regardless of OEM or telematics provider. Equipment status displayed as operational, caution, alert, or down, driven by the current sensor readings against the configured threshold for each parameter. Map view showing the current location and health status of each machine so the maintenance supervisor can see at a glance which equipment is in service and which is showing early warning signs. Fleet summary counts by equipment class and status so the duty manager can see how many haul trucks are operational right now without clicking through to individual machine records. Configurable dashboard layouts for different roles -- the maintenance supervisor sees sensor detail; the duty manager sees operational counts and shift production impact.

Alert rules configured for each parameter -- tyre pressure, oil temperature, coolant level, payload sensor, brake accumulator pressure -- with threshold levels set in consultation with your reliability engineers and OEM maintenance manuals. Trend-based alerting that fires before a reading crosses the threshold, based on the rate of change over a configurable look-back window, giving maintenance teams advance notice rather than a reactive notification when the fault has already occurred. Alert routing to the maintenance supervisor, the relevant operator, and the reliability engineer based on the severity level and equipment class. Alert acknowledgement and response tracking so the supervisor can record what action was taken and close the alert when the corrective work is complete. Alert history by equipment unit and parameter so reliability engineers can review which fault conditions are recurring and whether intervention is being applied consistently.

Mean time between failure calculated by equipment unit, equipment class, component, and failure mode -- the basis for maintenance strategy review and fleet replacement planning. Failure event recording with fault code, duration, and corrective action linked to the work order completed, so reliability metrics are based on actual maintenance records rather than estimates. Reliability trend reporting comparing current MTBF performance against the same period in prior years, giving maintenance management a view of whether fleet reliability is improving or declining. Component life tracking for high-value components -- tyres, GET, ground engaging tools, transmissions -- recording installed date, accumulated hours, and remaining life against the expected component life. Shift availability calculation showing the percentage of scheduled operating hours each machine was available for production, excluding both planned and unplanned downtime.

Connection to OEM telematics APIs -- Caterpillar VIMS and VisionLink, Komatsu KOMTRAX, Hitachi ConSite, Sandvik My Sandvik -- normalising data from each source into a consistent data model so all equipment is visible in the same terms regardless of manufacturer. CAN bus data extraction for equipment that predates modern telematics or operates in areas without cellular coverage, using on-board data loggers that sync when the machine returns to a connected zone. Wenco, Modular Mining, and Dispatch system integration to combine sensor health data with production dispatch data, linking equipment health events to the production impact during the affected shift period. Data sampling rate configuration per parameter and per equipment class, balancing the granularity needed for predictive analytics against the data volume and network bandwidth available at the mine site. Normalisation mapping maintained in the administration interface so the operations team can add new equipment models or new sensor types without requiring a development change.

Work order creation triggered automatically when an alert condition meets the configured severity threshold -- the work order pre-populated with the equipment ID, fault code, symptom description, and the sensor data trend leading up to the alert. Integration with existing CMMS platforms -- SAP Plant Maintenance, IBM Maximo, Pronto, or an existing custom maintenance system -- so work orders created from sensor alerts appear in the system the maintenance planners already use. Parts lookup from the equipment bill of materials so the work order includes the likely parts required based on the fault code, reducing the delay between fault detection and parts availability. Work order completion data flowing back into the monitoring system to close the alert, record the corrective action taken, and update the component life and MTBF records. Planned maintenance scheduling based on equipment hours, with work orders generated automatically when accumulated hours approach the next service interval.

Shift handover report generated automatically at each shift change, summarising the health status of every piece of equipment, the alerts raised during the shift, the work orders created and completed, and the equipment available for the next shift. Maintenance KPI reporting covering fleet availability, MTBF, mean time to repair, and alert response time -- presented by equipment class, shift, and period -- for the maintenance manager's weekly and monthly review. Custom report builder allowing maintenance engineers to slice equipment performance data by fault type, component, operator, or time period without a fixed report format. Automated distribution of shift and daily reports to nominated recipients so the maintenance manager, duty manager, and technical services team see the same fleet picture without anyone compiling it manually. Data export in Excel and CSV format for maintenance engineers who need to perform their own analysis outside the monitoring system.