Build a Water Network Leak Inspection Route Planner
Analyze hydraulic pressure drops and simulated pipe break indicators to prioritize acoustic leak inspection routes. Compile field surveyor itineraries targeting high-probability water loss corridors across municipal utility networks.
What you are building
The core problem, expected build, and operating context for this challenge.
Analyze hydraulic pressure drops and simulated pipe break indicators to prioritize acoustic leak inspection routes. Compile field surveyor itineraries targeting high-probability water loss corridors across municipal utility networks.
Municipal Water Network Operations Engineer
Ingest water distribution network topology, pipe roughness coefficients, and nodal pressure telemetry.
Simulate pressure-dependent leak discharges across pipeline segments using the WNTR simulation library.
Cluster pipeline nodes exhibiting abnormal head loss into contiguous physical inspection sectors.
Formulate an optimized technician routing itinerary balancing acoustic survey coverage and critical transit corridors.
Geospatial map display overlaying pipe pressure anomalies, leak probability contours, and sequenced inspection route waypoints.
Utilize synthetic EPANET-style water distribution network files (.inp format) representative of urban district supply sectors. Starter examples below are synthetic. They are not downloaded records.
Water Network Tool for Resilience Leverages WNTR network modeling and pressure-dependent demand simulation routines to compute hydraulic head losses caused by pipe leaks.
langgraph, wntr, networkx. LangGraph manages stateful routing workflows between hydraulic simulation analysis, clustering nodes, and technician dispatch generation. Local Python execution runtime with hosted Claude API for synthesizing daily crew briefing 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.
Identifies pipe segments with simulated leak discharges above 1.5 liters per second.
Generates an ordered inspection route visiting top-ranked leak clusters within an 8-hour shift constraint.
Produces step-by-step navigation waypoints and expected pressure sensor checks.
```json [ { "input": { "sector_id": "DMA-04", "nodes": [ { "node_id": "N1", "pressure_psi": 52, "base_demand_lps": 4.5 }, { "node_id": "N2", "pressure_psi": 31, "base_demand_lps": 4 }, { "node_id": "N3", "pressure_psi": 28.5, "base_demand_lps": 3.8 } ], "pipes": [ { "pipe_id": "P101", "start": "N1", "end": "N2", "length_m": 450 }, { "pipe_id": "P102", "start": "N2", "end": "N3", "length_m": 320 } ], "crew_available_hours": 8 }, "expected_output": { "suspect_pipes": [ "P101", "P102" ], "priority_order": [ "P102", "P101" ], "estimated_survey_time_hours": 5.2, "route_waypoints": [ "N3", "N2", "N1" ], "expected_leak_rate_lps": 3.2 } }, { "input": { "sector_id": "DMA-09", "nodes": [ { "node_id": "N10", "pressure_psi": 58, "base_demand_lps": 2 }, { "node_id": "N11", "pressure_psi": 57.5, "base_demand_lps": 2.1 } ], "pipes": [ { "pipe_id": "P201", "start": "N10", "end": "N11", "length_m": 200 } ], "crew_available_hours": 4 }, "expected_output": { "suspect_pipes": [], "priority_order": [], "estimated_survey_time_hours": 0, "route_waypoints": [], "expected_leak_rate_lps": 0 } } ] ```
Leak route plans are purely investigative; water main valve closures and excavation work require certified utility operations permits. Use mock external writes. Require human review before any real deployment.
Participation guide
Leak route plans are purely investigative; water main valve closures and excavation work require certified utility operations permits. Use mock external writes and human review.
How work is evaluated
Identifies pipe segments with simulated leak discharges above 1.5 liters per second. Generates an ordered inspection route visiting top-ranked leak clusters within an 8-hour shift constraint. Produces step-by-step navigation waypoints and expected pressure sensor checks.
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
Ingest water distribution network topology, pipe roughness coefficients, and nodal pressure telemetry. Simulate pressure-dependent leak discharges across pipeline segments using the WNTR simulation library. Cluster pipeline nodes exhibiting abnormal head loss into contiguous physical inspection sectors. Formulate an optimized technician routing itinerary balancing acoustic survey coverage and critical transit corridors.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Identifies pipe segments with simulated leak discharges above 1.5 liters per second. Generates an ordered inspection route visiting top-ranked leak clusters within an 8-hour shift constraint. Produces step-by-step navigation waypoints and expected pressure sensor checks.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Geospatial map display overlaying pipe pressure anomalies, leak probability contours, and sequenced inspection route waypoints.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Leak route plans are purely investigative; water main valve closures and excavation work require certified utility operations permits.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest water distribution network topology, pipe roughness coefficients, and nodal pressure telemetry.
Simulate pressure-dependent leak discharges across pipeline segments using the WNTR simulation library.
Cluster pipeline nodes exhibiting abnormal head loss into contiguous physical inspection sectors.
Formulate an optimized technician routing itinerary balancing acoustic survey coverage and critical transit corridors.
Reference links and supporting material
Utilize synthetic EPANET-style water distribution network files (.inp format) representative of urban district supply sectors. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
LangGraph
Runtime for stateful agent workflows.
Evaluated output
No output checks are configured.
- Ingest water distribution network topology, pipe roughness coefficients, and nodal pressure telemetry. Simu...
- Identifies pipe segments with simulated leak discharges above 1.5 liters per second. Generates an ordered i...
- Geospatial map display overlaying pipe pressure anomalies, leak probability contours, and sequenced inspect...
- 2 public reference cases
- 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
- LangGraph · Optional
- LangGraph · 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.