Predictive Maintenance Pipeline

AI ↔ AI

Sensor data flows through anomaly detection, root cause analysis, and maintenance scheduling.

5 nodes · 5 edgesmanufacturing

agentsystemapi

Visual

Sensor Data Agentagent

Ingest vibration, temperature, and pressure telemetry from IoT gateway.

↓sequential→ Anomaly Detection Agent

Anomaly Detection Agentagent

Run statistical and ML models to flag out-of-band sensor readings.

↓conditional→ Root Cause Analysis Agent

↓loop→ Sensor Data Agent

Root Cause Analysis Agentagent

Correlate anomalies with equipment history and failure pattern library.

↓sequential→ Maintenance Scheduling Agent

Maintenance Scheduling Agentagent

Determine optimal maintenance window considering production schedule.

↓sequential→ Generate Work Order

Generate Work Orderapi

Create work order in CMMS with parts list, crew assignment, and priority.

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uc-predictive-maintenance.osop.yaml

osop_version: "1.0"
id: "predictive-maintenance"
name: "Predictive Maintenance Pipeline"
description: "Sensor data flows through anomaly detection, root cause analysis, and maintenance scheduling."

nodes:
  - id: "sensor_ingest"
    type: "agent"
    subtype: "worker"
    name: "Sensor Data Agent"
    description: "Ingest vibration, temperature, and pressure telemetry from IoT gateway."

  - id: "anomaly_detect"
    type: "agent"
    subtype: "llm"
    name: "Anomaly Detection Agent"
    description: "Run statistical and ML models to flag out-of-band sensor readings."

  - id: "root_cause"
    type: "agent"
    subtype: "llm"
    name: "Root Cause Analysis Agent"
    description: "Correlate anomalies with equipment history and failure pattern library."

  - id: "schedule_maintenance"
    type: "agent"
    subtype: "planner"
    name: "Maintenance Scheduling Agent"
    description: "Determine optimal maintenance window considering production schedule."

  - id: "work_order"
    type: "api"
    name: "Generate Work Order"
    description: "Create work order in CMMS with parts list, crew assignment, and priority."

edges:
  - from: "sensor_ingest"
    to: "anomaly_detect"
    mode: "sequential"
  - from: "anomaly_detect"
    to: "root_cause"
    mode: "conditional"
    when: "anomaly.detected == true"
  - from: "root_cause"
    to: "schedule_maintenance"
    mode: "sequential"
  - from: "schedule_maintenance"
    to: "work_order"
    mode: "sequential"
  - from: "anomaly_detect"
    to: "sensor_ingest"
    mode: "loop"
    when: "anomaly.detected == false"
    label: "Continue monitoring"

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