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Challenge

Build a Predictive Facility Maintenance Work-Order Generator

Combine building operational runtimes and BMS telemetry with IFC equipment metadata to generate preventive work orders. Prioritize maintenance schedules based on component degradation thresholds.

EngineeringHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Combine building operational runtimes and BMS telemetry with IFC equipment metadata to generate preventive work orders. Prioritize maintenance schedules based on component degradation thresholds.

Operations & Maintenance Facility Supervisor

Extract equipment service records and parent building associations from IFC assets.

Ingest sensor operational hours and vibration telemetry streams.

Compare cumulative operating hours against manufacturer recommended servicing milestones.

Dispatch prioritized preventive maintenance work orders to facility dispatch queue.

Maintenance management console displaying equipment runtime progress bars, health scores, and work tickets.

Construct synthetic runtime logs matched against equipment GUIDs from sample IFC files. Starter examples below are synthetic. They are not downloaded records.

IfcOpenShell Extracts facility asset information utilizing IfcOpenShell ifcfm data export conventions.

crewai, pydantic, fastapi. CrewAI facilitates multi-agent delegation between equipment health evaluation and work-order scheduling roles. Reliable hosted or local language model capable of deterministic structured ticket generation.

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.

Correlates IFC asset GUID with incoming operating hour telemetry.

Generates work-order payload when running hours exceed 90 percent of service interval.

Calculates priority score based on system criticality and remaining runtime buffer.

```json [ { "input": { "asset_guid": "ASSET-CHILLER-01", "asset_name": "Centrifugal Chiller 1", "service_interval_hours": 2000, "current_run_hours": 1920, "criticality": "HIGH" }, "expected_output": { "generate_work_order": true, "priority": "URGENT", "runtime_remaining_hours": 80, "ticket": { "task": "Compressor lubrication and seal inspection", "due_within_days": 5 } } }, { "input": { "asset_guid": "ASSET-FAN-08", "asset_name": "Exhaust Fan East", "service_interval_hours": 1500, "current_run_hours": 420, "criticality": "LOW" }, "expected_output": { "generate_work_order": false, "priority": "NORMAL", "runtime_remaining_hours": 1080, "ticket": null } } ] ```

Dispatches maintenance drafts into simulated CMMS; does not directly trigger physical plant control overrides. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Dispatches maintenance drafts into simulated CMMS; does not directly trigger physical plant control overrides. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Correlates IFC asset GUID with incoming operating hour telemetry. Generates work-order payload when running hours exceed 90 percent of service interval. Calculates priority score based on system criticality and remaining runtime buffer.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Extract equipment service records and parent building associations from IFC assets. Ingest sensor operational hours and vibration telemetry streams. Compare cumulative operating hours against manufacturer recommended servicing milestones. Dispatch prioritized preventive maintenance work orders to facility dispatch queue.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Correlates IFC asset GUID with incoming operating hour telemetry. Generates work-order payload when running hours exceed 90 percent of service interval. Calculates priority score based on system criticality and remaining runtime buffer.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Maintenance management console displaying equipment runtime progress bars, health scores, and work tickets.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Dispatches maintenance drafts into simulated CMMS; does not directly trigger physical plant control overrides.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Extract equipment service records and parent building associations from IFC assets.

  • Ingest sensor operational hours and vibration telemetry streams.

  • Compare cumulative operating hours against manufacturer recommended servicing milestones.

  • Dispatch prioritized preventive maintenance work orders to facility dispatch queue.

Resources and assets

Reference links and supporting material

Dataset notes

Construct synthetic runtime logs matched against equipment GUIDs from sample IFC files. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

crewAI

Multi-agent orchestration framework

Evaluated output

No output checks are configured.

Evaluation checks
  • Extract equipment service records and parent building associations from IFC assets. Ingest sensor operation...
  • Correlates IFC asset GUID with incoming operating hour telemetry. Generates work-order payload when running...
  • Maintenance management console displaying equipment runtime progress bars, health scores, and work tickets.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • crewAI · 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.

Frequently Asked Questions about Build a Predictive Facility Maintenance Work-Order Generator