Illustrative reference architecture. Validate requirements for your organization.
Illustrative architecture: A wind-farm operator receives vibration anomalies from several turbines before a forecast weather change. Maintenance planners must decide which inspections are feasible given crew skills, access restrictions, parts, and production commitments. Agents support planning; turbine protection and dispatch control remain outside their authority.
Problem
An anomaly score is not a diagnosis, and forecast confidence changes with lead time. Recommending work from stale weather or incomplete maintenance history can waste a crew mobilization or introduce unsafe access assumptions.
Why a multi-agent system?
Condition, history, weather, and resource specialists gather independent evidence. A validated scheduling service applies access and crew constraints; engineers evaluate hypotheses and approve work scope through the maintenance system.
Intended outcome
The intended result is a reviewable operational decision with source evidence and explicit ownership. Measure planning effort and evidence completeness before claiming availability improvements. Actual reliability depends on engineering diagnosis, field execution, and equipment behavior; retain those factors separately in the operational record.
Specialist agent team
Condition evidence agent
Summarize vibration and temperature patterns with sensor quality and baseline context.
Tools
Historian reader
anomaly report API
Authority boundary
Cannot change turbine control or declare equipment safe.
Maintenance historian
Retrieve prior failures, component replacements, and open inspections.
Tools
Asset maintenance query
technical document search
Authority boundary
Cannot close inspections or infer repair completion.
Access-window analyst
Compare forecast intervals with approved site access constraints.
Tools
Weather feed
site restriction catalog
Authority boundary
Cannot waive safety limits or authorize crew access.
Resource planner
Draft work packages matching parts, skills, vessel or vehicle availability, and downtime windows.
Tools
Parts inventory API
crew scheduling simulator
Authority boundary
Planners and safety owners approve work and mobilization.
Enterprise systems
Asset historian
Provides timestamped sensor observations and quality flags through a read-only analysis interface.
Enterprise maintenance system
Owns equipment hierarchy, work orders, inspections, and approved maintenance procedures.
Weather and resource planning systems
Supply forecast revisions, access constraints, crew qualifications, and spare reservations.
Architecture diagrams
Renewable asset maintenance planning — logical architecture — Specialists produce bounded findings; the evidence ledger preserves source versions and human decisions before an authorized adapter changes a system of record.
Failure and decision sequence — A sensor calibration fault mimics equipment degradation. The workflow records unresolved work and resumes only after the source state and reviewer authority are checked.
sequenceDiagram
participant O as "Case orchestrator"
participant S as "Asset historian"
participant H as "Accountable reviewer"
O->>S: Read anomaly and asset history
O->>H: Present weather-bounded work package
H-->>O: Approve inspection scope
S-->>O: Forecast revision invalidates access
O->>H: Suspend mobilization for replanning
Runtime flow
1
Register anomaly
Attach asset identity, sensor quality, detection interval, and existing work-order references to prevent duplicate investigations.
2
Inspect condition evidence
Compare the anomaly with operating regime and historical baseline without translating a statistical alert into a confirmed fault.