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Challenge

Build a HVAC Filter Lifecycle Predictor

Combine AHU differential pressure telemetry with IFC equipment attributes to predict filter replacement intervals. Formulate service alerts with manufacturer filter specifications before airflow degrades.

EngineeringHosted by Vera
Challenge brief

What you are building

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

Combine AHU differential pressure telemetry with IFC equipment attributes to predict filter replacement intervals. Formulate service alerts with manufacturer filter specifications before airflow degrades.

Indoor Air Quality Specialist

Ingest AHU filter differential pressure telemetry feeds.

Query the building IFC model for air handling unit specifications and filter sizes.

Detect pressure drop thresholds exceeding manufacturer service recommendations.

Dispatch structured filter replacement tickets into the facility work-order queue.

Maintenance supervisor console with filter pressure gauges, telemetry timeline graphs, and a work-order dispatch panel.

Simulate AHU telemetry against open-source BIM models containing MEP air handling units from IfcOpenShell repositories. Starter examples below are synthetic. They are not downloaded records.

IfcOpenShell Extracts AHU equipment metadata and filter specifications from IfcBuildingElementProxy and IfcPropertySet instances.

mastra-ai, ifcopenshell, fastapi. Mastra AI provides resilient workflow orchestration to trigger filter replacement alerts based on incoming differential pressure telemetry events. Local or hosted LLM to translate airflow telemetry anomalies into standard maintenance instructions.

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 raw sensor telemetry with corresponding IFC AHU element GUIDs.

Triggers preventive service requests when differential pressure exceeds 200 Pa.

Outputs work orders populated with IFC-derived equipment tags and filter specifications.

```json [ { "input": { "equipment_guid": "3M8n$vE9H7wQzY5P1K4rTt", "ifc_attributes": { "name": "Rooftop AHU 01", "tag": "AHU-01", "manufacturer": "Trane" }, "runtime_hours": 2680, "differential_pressure_pa": 250 }, "expected_output": { "ticket_id": "WO-FLT-2025-09", "equipment_tag": "AHU-01", "priority": "HIGH", "action_required": "Replace MERV 13 Filters", "service_due": true, "notes": "Differential pressure exceeds 200 Pa service threshold." } }, { "input": { "equipment_guid": "1X9k$vE9H7wQzY5P1K4rTt", "ifc_attributes": { "name": "Basement MAU 02", "tag": "MAU-02", "manufacturer": "Carrier" }, "runtime_hours": 1100, "differential_pressure_pa": 120 }, "expected_output": { "ticket_id": null, "equipment_tag": "MAU-02", "priority": "NORMAL", "action_required": "None", "service_due": false, "notes": "Operating within nominal pressure limits." } } ] ```

Work-order dispatching is simulated. Physical equipment repairs require authorized lockout/tagout procedures by licensed technicians. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Work-order dispatching is simulated. Physical equipment repairs require authorized lockout/tagout procedures by licensed technicians. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Correlates raw sensor telemetry with corresponding IFC AHU element GUIDs. Triggers preventive service requests when differential pressure exceeds 200 Pa. Outputs work orders populated with IFC-derived equipment tags and filter specifications.

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

Ingest AHU filter differential pressure telemetry feeds. Query the building IFC model for air handling unit specifications and filter sizes. Detect pressure drop thresholds exceeding manufacturer service recommendations. Dispatch structured filter replacement tickets into the facility work-order 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 raw sensor telemetry with corresponding IFC AHU element GUIDs. Triggers preventive service requests when differential pressure exceeds 200 Pa. Outputs work orders populated with IFC-derived equipment tags and filter specifications.

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 supervisor console with filter pressure gauges, telemetry timeline graphs, and a work-order dispatch panel.

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

Work-order dispatching is simulated. Physical equipment repairs require authorized lockout/tagout procedures by licensed technicians.

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

  • Ingest AHU filter differential pressure telemetry feeds.

  • Query the building IFC model for air handling unit specifications and filter sizes.

  • Detect pressure drop thresholds exceeding manufacturer service recommendations.

  • Dispatch structured filter replacement tickets into the facility work-order queue.

Resources and assets

Reference links and supporting material

Dataset notes

Simulate AHU telemetry against open-source BIM models containing MEP air handling units from IfcOpenShell repositories. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Mastra AI

TypeScript agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest AHU filter differential pressure telemetry feeds. Query the building IFC model for air handling unit...
  • Correlates raw sensor telemetry with corresponding IFC AHU element GUIDs. Triggers preventive service reque...
  • Maintenance supervisor console with filter pressure gauges, telemetry timeline graphs, and a work-order dis...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

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
  • Mastra AI · Optional
Orchestration
  • Mastra AI · 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 HVAC Filter Lifecycle Predictor