HYDROELECTRIC POWER PLANT MANAGEMENT

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[ ] Log Daily Inspection Record: Create a new entry in the 'Daily Inspection' data model to record turbine, dam, and spillway status.
[ ] Retrieve Sensor Telemetry Data: Fetch real-time pressure, temperature, and flow rate values from the 'Sensor Readings' data model.
[ ] Calculate Power Output Efficiency: Calculate the efficiency ratio by comparing actual Megawatts generated against theoretical hydraulic head potential.
[ ] Calculate Daily Total Water Flow: Sum all 'Flow Rate' entries from the 'Water Meter' data model for the last 24-hour period.
[ ] Assign Maintenance Technician: Create a task for the Engineering Team to perform physical inspection of the turbine bearings.
[ ] Update Reservoir Level Status: Update the 'Current Water Level' field in the 'Reservoir Management' data model based on new telemetry.
[ ] Create Emergency Shutdown Protocol Task: Trigger a high-priority task for the Control Room Operator if sensor thresholds are breached.
[ ] Notify Plant Manager of Anomaly: Send an automated email to the Plant Manager when critical vibration levels are detected.
[ ] Alert Emergency Response Team: Send an SMS alert to the rapid response technicians in the event of a structural alert or dam breach warning.
[ ] Generate Weekly Operational Report: Create a comprehensive PDF report summarizing power generation, downtime, and maintenance costs.
[ ] Archive Obsolete Sensor Logs: Delete or move outdated sensor entries from the active 'Real-time Monitoring' model to long-term storage.
[ ] Calculate Monthly Revenue Forecast: Aggregate the 'Energy Produced' entries and multiply by the current 'Market Price' variable.
[ ] Compliance Audit Task: Create a recurring task for the Safety Officer to verify all regulatory safety checklists are completed.
[ ] Fetch Equipment Maintenance History: Retrieve all past repair entries from the 'Maintenance Log' associated with a specific Turbine ID.
[ ] Predict Energy Output: Execute a formula using 'Expected Rainfall' and 'Current Reservoir Volume' to predict next week's generation.

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