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Challenge

Build an Industrial Sensor Replacement Spare Parts Dispatcher

Correlate open62541 OPC UA instrumentation diagnostic codes with enterprise spare parts inventories. Generate automated warehouse pick tickets for sensors scheduled for preventive replacement.

EngineeringHosted by Vera
Challenge brief

What you are building

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

Correlate open62541 OPC UA instrumentation diagnostic codes with enterprise spare parts inventories. Generate automated warehouse pick tickets for sensors scheduled for preventive replacement.

Maintenance Inventory Coordinator

Parse open62541 sensor health status nodes and diagnostic trouble code variables.

Map degraded sensor models to required replacement manufacturer part numbers and accessories.

Check plant storeroom bin balances and evaluate stock availability against scheduled outages.

Generate structured warehouse pick tickets and alert purchasing when replacement stocks breach safety buffers.

Web warehouse management queue showing sensor failure triage, bin locations, and pick status.

Create synthetic JSON dumps matching open62541 sensor diagnostic variables paired with mock inventory databases. Starter examples below are synthetic. They are not downloaded records.

open62541 OPC UA Extracts standardized sensor diagnostic variable structures from the open62541 OPC UA information model.

ollama, pydantic, sqlite3. Ollama runs efficient local open-source models on on-premise factory servers without external cloud dependencies. Local model deployed on Ollama capable of fast JSON structured output.

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.

Correctly maps OPC UA diagnostic fault codes to specific sensor part numbers.

Produces verified warehouse bin pick lists for available inventory.

Triggers reorder purchase flags when on-hand inventory drops below minimum balance.

Handles unrecognized sensor models by creating an engineering investigation ticket.

```json [ { "input": { "sensor_node": "ns=2;s=FlowSensor_FT201", "diagnostic_code": "ERR_PIEZO_DEGRADATION", "sensor_model": "FLOW-MASTER-500", "storeroom_stock": { "FLOW-MASTER-500": 3, "GASKET_KIT_DN50": 12 }, "min_safety_stock": 2 }, "expected_output": { "sensor_id": "FlowSensor_FT201", "replacement_part": "FLOW-MASTER-500", "bin_location": "STOREROOM-A-BIN-14", "bill_of_materials": [ "FLOW-MASTER-500", "GASKET_KIT_DN50" ], "pick_ticket_ready": true, "reorder_needed": false } }, { "input": { "sensor_node": "ns=2;s=PressureSensor_PT109", "diagnostic_code": "ERR_DIAPHRAGM_RUPTURE", "sensor_model": "PRESS-SENS-A2", "storeroom_stock": { "PRESS-SENS-A2": 1 }, "min_safety_stock": 2 }, "expected_output": { "sensor_id": "PressureSensor_PT109", "replacement_part": "PRESS-SENS-A2", "bin_location": "STOREROOM-B-BIN-02", "bill_of_materials": [ "PRESS-SENS-A2" ], "pick_ticket_ready": true, "reorder_needed": true } } ] ```

Maintains passive warehouse logistics planning; does not place live commercial supplier orders. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Maintains passive warehouse logistics planning; does not place live commercial supplier orders. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Correctly maps OPC UA diagnostic fault codes to specific sensor part numbers. Produces verified warehouse bin pick lists for available inventory. Triggers reorder purchase flags when on-hand inventory drops below minimum balance. Handles unrecognized sensor models by creating an engineering investigation ticket.

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

Parse open62541 sensor health status nodes and diagnostic trouble code variables. Map degraded sensor models to required replacement manufacturer part numbers and accessories. Check plant storeroom bin balances and evaluate stock availability against scheduled outages. Generate structured warehouse pick tickets and alert purchasing when replacement stocks breach safety buffers.

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

Correctly maps OPC UA diagnostic fault codes to specific sensor part numbers. Produces verified warehouse bin pick lists for available inventory. Triggers reorder purchase flags when on-hand inventory drops below minimum balance. Handles unrecognized sensor models by creating an engineering investigation ticket.

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

Web warehouse management queue showing sensor failure triage, bin locations, and pick status.

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

Maintains passive warehouse logistics planning; does not place live commercial supplier orders.

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

  • Parse open62541 sensor health status nodes and diagnostic trouble code variables.

  • Map degraded sensor models to required replacement manufacturer part numbers and accessories.

  • Check plant storeroom bin balances and evaluate stock availability against scheduled outages.

  • Generate structured warehouse pick tickets and alert purchasing when replacement stocks breach safety buffers.

Resources and assets

Reference links and supporting material

Dataset notes

Create synthetic JSON dumps matching open62541 sensor diagnostic variables paired with mock inventory databases. 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.

Evaluation checks
  • Parse open62541 sensor health status nodes and diagnostic trouble code variables. Map degraded sensor model...
  • Correctly maps OPC UA diagnostic fault codes to specific sensor part numbers. Produces verified warehouse b...
  • Web warehouse management queue showing sensor failure triage, bin locations, and pick status.
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

Policy Serving
  • 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.

Frequently Asked Questions about Build an Industrial Sensor Replacement Spare Parts Dispatcher