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Equipment performance monitoring and alerts

This workflow continuously monitors solar equipment performance data and automatically generates alerts when anomalies or underperformance are detected, enabling proactive maintenance and maximizing energy output.

Workflow Trigger

SCADA system detects equipment performance data update from solar installation

Visual Flow

Each node represents an automated step. Connections show how data and decisions move through the workflow.

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

  1. 1
    Trigger

    Receive equipment performance data

    SCADA system captures real-time performance metrics from solar panels, inverters, and other equipment. Data includes power output, voltage, current, and temperature readings.

  2. 2
    Action

    Compare against performance baselines

    PVSyst analyzes current performance data against expected output models and historical baselines. System calculates performance ratios and identifies deviations from normal operating parameters.

  3. 3
    Decision

    Evaluate performance threshold violations

    System determines if performance metrics fall below critical thresholds or show concerning trends. Decision branches based on severity of performance degradation detected.

  4. 4
    Action

    Generate equipment-specific alerts

    Aurora Solar creates detailed alert notifications specifying affected equipment, performance gaps, and recommended actions. Alerts are prioritized based on impact to overall system output.

  5. 5
    Action

    Schedule predictive maintenance tasks

    System automatically creates maintenance work orders in SCADA and forecasts optimal maintenance timing. Homer Pro calculates cost-benefit analysis for immediate versus scheduled repairs.

  6. 6
    Output

    Dispatch alerts and maintenance schedules

    Automated notifications are sent to operations teams with performance alerts, maintenance recommendations, and updated schedules. Dashboard updates provide real-time equipment status visibility.

Outputs

  • Performance deviation alerts
  • Automated maintenance work orders
  • Equipment health dashboard updates

Key Metrics

  • Equipment uptime percentage
  • Performance ratio deviation
  • Mean time to alert generation
OA

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