Build a Sparkplug B Multi-Zone Thermal Energy Optimizer

Process Sparkplug B thermal oven metric updates and electric utility peak hours. Plan dynamic zone ramp-up sequences to minimize compound electrical peak demand charges.

Process Operations Engineer

Parse Sparkplug B thermal zone telemetry payloads across multiple industrial curing ovens.

Evaluate cumulative instantaneous power against utility peak demand threshold ceilings.

Sequence oven pre-heating and ramp intervals to stagger overlapping peak loads.

Generate a thermal ramp scheduling plan for furnace control operators.

Heatmap timetable illustrating staggered zone power curves against the site demand cap.

Generate synthetic JSON payloads following Sparkplug B v3.0 metric schemas for multi-zone industrial ovens. Starter examples below are synthetic. They are not downloaded records.

Eclipse Sparkplug Uses Sparkplug B complex data types, metric properties, and dataset structures defined in Source 2.

ray-serve, numpy. Ray Serve enables scalable parallel evaluation of multi-zone thermal scheduling constraints across multiple production cells. Local model for rule-checking or hosted API for thermal ramp plan 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.

Guarantees aggregate power remains below simulated 1.2 MW peak demand cap.

Ensures all curing recipes achieve target soaking temperatures within required batch windows.

Produces valid Sparkplug B compatible schedule proposal documents.

```json [ { "input": { "ovens": [ { "id": "OVEN-1", "ramp_power_kw": 400, "soak_power_kw": 120, "ramp_min": 30, "soak_min": 60 }, { "id": "OVEN-2", "ramp_power_kw": 500, "soak_power_kw": 150, "ramp_min": 40, "soak_min": 45 } ], "max_simultaneous_kw": 700 }, "expected_output": { "oven_1_start_minute": 0, "oven_2_start_minute": 30, "peak_aggregate_kw": 620, "demand_cap_breached": false } }, { "input": { "ovens": [ { "id": "OVEN-3", "ramp_power_kw": 600, "soak_power_kw": 200, "ramp_min": 45, "soak_min": 90 }, { "id": "OVEN-4", "ramp_power_kw": 650, "soak_power_kw": 250, "ramp_min": 45, "soak_min": 90 } ], "max_simultaneous_kw": 800 }, "expected_output": { "oven_3_start_minute": 0, "oven_4_start_minute": 45, "peak_aggregate_kw": 850, "demand_cap_breached": true } } ] ```

Read-only planning simulation; does not issue write commands to live furnace controllers. Use mock external writes. Require human review before any real deployment.