Build an OPC UA Tariff-Aware Energy Batch Rescheduler

Parse energy telemetry nodes from OPC UA servers via asyncua against dynamic utility tariff rates. Formulate optimal production run schedules that shift high-draw manufacturing operations out of peak pricing windows.

Plant Energy Manager

Extract power draw profiles from normalized OPC UA variable telemetry logs via asyncua.

Load multi-tier electricity tariff schedules and factory production order deadlines.

Evaluate load shift scenarios against equipment setup constraints and shift hours using Optuna.

Produce an energy-optimized shift production schedule with projected cost savings.

Comparative timetable visualization showing baseline vs rescheduled batch power curves.

Generate synthetic JSON fixtures containing simplified synthetic app records for machine kW draw and simulated hourly utility tariffs. Starter examples below are synthetic. They are not downloaded records.

open62541 OPC UA Leverages OPC UA information modeling concepts and telemetry variable nodes referenced in Source 0.

optuna, pandas, asyncua. Optuna handles multi-constraint optimization for scheduling batch operations against tariff windows. Local lightweight model or hosted API for natural language schedule rationale explanation.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Reduces peak window energy consumption by at least 15% in test runs.

Preserves all committed customer order batch deadlines without tardiness.

Generates a structured schedule export for production supervisors.

```json [ { "input": { "batch_id": "HEAT-TREAT-88", "power_draw_kw": 250, "duration_hours": 3, "deadline_hour": 18, "base_cost_per_kwh": 0.12, "tariff_windows": [ { "start": 13, "end": 17, "cost_per_kwh": 0.42 } ] }, "expected_output": { "batch_id": "HEAT-TREAT-88", "scheduled_start_hour": 10, "scheduled_end_hour": 13, "projected_energy_cost": 90, "avoided_peak_tariff": true } }, { "input": { "batch_id": "MELT-02", "power_draw_kw": 400, "duration_hours": 2, "deadline_hour": 15, "base_cost_per_kwh": 0.12, "tariff_windows": [ { "start": 13, "end": 17, "cost_per_kwh": 0.45 } ] }, "expected_output": { "batch_id": "MELT-02", "scheduled_start_hour": 11, "scheduled_end_hour": 13, "projected_energy_cost": 96, "avoided_peak_tariff": true } } ] ```

Read-only advisory scheduling; requires plant planner manual sign-off before committing runs to MES. Use mock external writes. Require human review before any real deployment.