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PDGRH

CMMS & Maintenance Supervisor

Computer-aided maintenance management: equipment, work orders, IoT monitoring and predictive maintenance.

Access

Sidebar → CMMS

Or directly via: /dashboard/gmao

CMMS Dashboard

Route: /dashboard/gmao

Maintenance overview with:

  • Equipment in service and out of service
  • Active maintenance orders
  • Detected alerts and anomalies
  • Equipment health scores

Sub-modules

PageRouteDescription
Equipment/dashboard/gmao/equipmentComplete equipment fleet
Maintenance orders/dashboard/gmao/maintenance-ordersPlanned and corrective interventions
IoT Monitoring/dashboard/gmao/iot-monitoringReal-time sensor data
Health scores/dashboard/gmao/health-scoresML-based equipment condition indicators
Predictive maintenance/dashboard/gmao/predictive-maintenanceML failure predictions
Alerts/dashboard/gmao/alertsMaintenance notifications

Equipment Management

Equipment List

Route: /dashboard/equipment

ActionRouteDescription
List/dashboard/equipmentAll equipment
Create/dashboard/equipment/createAdd equipment
Detail/dashboard/equipment/:idFull technical record
Edit/dashboard/equipment/:id/editUpdate information

Each equipment record contains:

  • Identification: Name, serial number, category
  • Location: Assigned plot
  • Status: Operational, under maintenance, out of service
  • History: Past interventions

IoT Monitoring

Route: /dashboard/gmao/iot-monitoring

Real-time surveillance of installed sensors:

  • Machine temperature
  • Motor vibrations
  • Fuel consumption
  • Running hours

Predictive Maintenance (ML)

Route: /dashboard/gmao/predictive-maintenance

The system analyses sensor data to predict failures:

  • Health score: 0-100% per equipment
  • Estimated failure date: Prediction based on trends
  • Recommended actions: Suggested preventive interventions
Tip

Schedule preventive maintenance during the slow season (June-August) to avoid machine downtime during harvest campaigns.