Build a District Cooling Heat Exchanger Inspection Evidence Workspace
Compare supplied heat exchanger performance estimates with baseline values. Prepare inspection requests, evidence gaps, and bilingual review notes without claiming confirmed fouling or dispatching maintenance crews.
What you are building
The core problem, expected build, and operating context for this challenge.
Compare supplied heat exchanger performance estimates with baseline values. Prepare inspection requests, evidence gaps, and bilingual review notes without claiming confirmed fouling or dispatching maintenance crews.
District Cooling Network Dispatcher
Import synthetic conductance estimates, measurement provenance, and fictional inspection thresholds.
Calculate percentage decline and flag missing or nonpositive baseline values.
Prepare inspection requests with possible alternative causes and missing evidence.
Export an engineer review packet with English-Arabic draft notes.
Substation comparison table with provenance links, decline charts, inspection requests, and review notes.
Create simplified synthetic records with supplied baseline and current UA estimates in kW/K. Do not infer estimates from incomplete temperature readings. Starter examples below are synthetic. They are not downloaded records.
EnergyPlus EnergyPlus provides a simulation integration reference. This application compares supplied estimates. DistrictCooling objects do not diagnose fouling.
ollama, pandas, fastapi. Ollama drafts local review notes. Deterministic code calculates decline and retains measurement provenance. Use a currently available local open-weight model for English-Arabic notes. Keep calculations deterministic.
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.
Computes decline as 100 times (baseline minus current) divided by baseline, rounded to one decimal place.
Flags decline strictly above the supplied fictional inspection threshold.
Rejects missing or nonpositive baseline values.
Never confirms fouling or dispatches cleaning.
```json [ { "input": { "substation_id": "SUB-01", "baseline_ua_kw_k": 350, "current_ua_kw_k": 280, "fictional_threshold_pct": 15, "provenance": "synthetic estimates" }, "expected_output": { "decline_percent": 20, "inspection_proposed": true, "fouling_status": "unverified", "approval_required": true } }, { "input": { "substation_id": "SUB-02", "baseline_ua_kw_k": 350, "current_ua_kw_k": 345, "fictional_threshold_pct": 15, "provenance": "synthetic estimates" }, "expected_output": { "decline_percent": 1.4, "inspection_proposed": false, "fouling_status": "unverified", "approval_required": true } } ] ```
Use synthetic estimates and proposed inspections. No confirmed diagnosis, chemical flushing advice, valve control, or crew dispatch. Use mock external writes. Require human review before any real deployment.
Participation guide
Use synthetic estimates and proposed inspections. No confirmed diagnosis, chemical flushing advice, valve control, or crew dispatch. Use mock external writes and human review.
How work is evaluated
Computes decline as 100 times (baseline minus current) divided by baseline, rounded to one decimal place. Flags decline strictly above the supplied fictional inspection threshold. Rejects missing or nonpositive baseline values. Never confirms fouling or dispatches cleaning.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Import synthetic conductance estimates, measurement provenance, and fictional inspection thresholds. Calculate percentage decline and flag missing or nonpositive baseline values. Prepare inspection requests with possible alternative causes and missing evidence. Export an engineer review packet with English-Arabic draft notes.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Computes decline as 100 times (baseline minus current) divided by baseline, rounded to one decimal place. Flags decline strictly above the supplied fictional inspection threshold. Rejects missing or nonpositive baseline values. Never confirms fouling or dispatches cleaning.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Substation comparison table with provenance links, decline charts, inspection requests, and review notes.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Use synthetic estimates and proposed inspections. No confirmed diagnosis, chemical flushing advice, valve control, or crew dispatch.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Import synthetic conductance estimates, measurement provenance, and fictional inspection thresholds.
Calculate percentage decline and flag missing or nonpositive baseline values.
Prepare inspection requests with possible alternative causes and missing evidence.
Export an engineer review packet with English-Arabic draft notes.
Reference links and supporting material
Create simplified synthetic records with supplied baseline and current UA estimates in kW/K. Do not infer estimates from incomplete temperature readings. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Ollama
Local LLM runtime for offline inference.
Evaluated output
No output checks are configured.
- Import synthetic conductance estimates, measurement provenance, and fictional inspection thresholds. Calcul...
- Computes decline as 100 times (baseline minus current) divided by baseline, rounded to one decimal place. F...
- Substation comparison table with provenance links, decline charts, inspection requests, and review notes.
- 2 public reference cases
- 1 configured tool
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Ollama · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.