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Pilot Digital Twin Setup

核心功能是部署传感器桥接、模型引擎、异常检测、行动规划4个代理,实现实时遥测采集、物理模型模拟、异常偏差检测及维护任务调度。典型场景为用户搭建物理资产监控与预测性维护系统,或配置相关功能代理。需用户指定代理角色与前缀,输出为完成代理技能安装、生成配置清单,并指导完成peer握手。不适用于基础指标收集等简单需求。

teoslayer
teoslayer
热度 38.90
最近更新 2026-05-11 17:45:19
分类:开发依赖:代码执行 / 读写文件 / 第三方 API应用场景:predictive-maintenance / DevOps / 工作流 / 模板 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add pilot-digital-twin-setup
Metadata
name
pilot-digital-twin-setup
description
Deploy a digital twin platform with 4 agents. Use this skill when: 1. User wants to set up a digital twin for physical asset monitoring and predictive maintenance 2. User is configuring agents for sensor ingestion, physics simulation, or anomaly detection 3. User asks about predictive maintenance, asset health monitoring, or real-vs-predicted comparison Do NOT use this skill when: - User wants basic metrics collection (use pilot-metrics instead) - User only needs event filtering without a twin model (use pilot-event-filter instead) - User wants a single alert notification (use pilot-alert instead)
tags
["pilot-protocol","setup","digital-twin","iot","predictive-maintenance"]
license
AGPL-3.0
metadata
{"author":"vulture-labs","version":"1.0","openclaw":{"requires":{"bins":["pilotctl","clawhub"]},"homepage":"https://pilotprotocol.network"}}
allowed-tools
["Bash"]

Digital Twin Setup

Deploy 4 agents: sensor-bridge, model-engine, anomaly-detector, and action-planner.

Roles

Role Hostname Skills Purpose
sensor-bridge <prefix>-sensor-bridge pilot-stream-data, pilot-metrics, pilot-gossip Ingests real-time telemetry from physical assets
model-engine <prefix>-model-engine pilot-dataset, pilot-task-router, pilot-consensus Maintains physics model, runs simulations
anomaly-detector <prefix>-anomaly-detector pilot-event-filter, pilot-alert, pilot-audit-log Detects drift between real and predicted behavior
action-planner <prefix>-action-planner pilot-webhook-bridge, pilot-cron, pilot-slack-bridge Schedules maintenance, notifies field teams

Setup Procedure

Step 1: Ask the user which role this agent should play and what prefix to use.

Step 2: Install the skills for the chosen role:

# For sensor-bridge:
clawhub install pilot-stream-data pilot-metrics pilot-gossip
# For model-engine:
clawhub install pilot-dataset pilot-task-router pilot-consensus
# For anomaly-detector:
clawhub install pilot-event-filter pilot-alert pilot-audit-log
# For action-planner:
clawhub install pilot-webhook-bridge pilot-cron pilot-slack-bridge

Step 3: Set the hostname and write the manifest to ~/.pilot/setups/digital-twin.json.

Step 4: Tell the user to initiate handshakes with the peers for their role.

Manifest Templates Per Role

sensor-bridge

{
  "setup": "digital-twin", "role": "sensor-bridge", "role_name": "Sensor Bridge",
  "hostname": "<prefix>-sensor-bridge",
  "skills": {
    "pilot-stream-data": "Ingest real-time sensor telemetry from physical assets.",
    "pilot-metrics": "Track sensor health, sampling rates, and data quality.",
    "pilot-gossip": "Discover and sync with peer sensor bridges."
  },
  "data_flows": [{ "direction": "send", "peer": "<prefix>-model-engine", "port": 1002, "topic": "telemetry", "description": "Unified telemetry stream from physical assets" }],
  "handshakes_needed": ["<prefix>-model-engine"]
}

model-engine

{
  "setup": "digital-twin", "role": "model-engine", "role_name": "Model Engine",
  "hostname": "<prefix>-model-engine",
  "skills": {
    "pilot-dataset": "Store physics model parameters and simulation state.",
    "pilot-task-router": "Route simulation tasks across asset models.",
    "pilot-consensus": "Reconcile model state across redundant engines."
  },
  "data_flows": [
    { "direction": "receive", "peer": "<prefix>-sensor-bridge", "port": 1002, "topic": "telemetry", "description": "Real-time sensor data" },
    { "direction": "send", "peer": "<prefix>-anomaly-detector", "port": 1002, "topic": "prediction", "description": "Expected behavior baselines and drift metrics" }
  ],
  "handshakes_needed": ["<prefix>-sensor-bridge", "<prefix>-anomaly-detector"]
}

anomaly-detector

{
  "setup": "digital-twin", "role": "anomaly-detector", "role_name": "Anomaly Detector",
  "hostname": "<prefix>-anomaly-detector",
  "skills": {
    "pilot-event-filter": "Filter predictions by drift threshold and severity.",
    "pilot-alert": "Emit anomaly alerts for critical deviations.",
    "pilot-audit-log": "Log all detected anomalies with evidence snapshots."
  },
  "data_flows": [
    { "direction": "receive", "peer": "<prefix>-model-engine", "port": 1002, "topic": "prediction", "description": "Model predictions to compare" },
    { "direction": "send", "peer": "<prefix>-action-planner", "port": 1002, "topic": "anomaly-alert", "description": "Anomaly alerts with severity and root cause" }
  ],
  "handshakes_needed": ["<prefix>-model-engine", "<prefix>-action-planner"]
}

action-planner

{
  "setup": "digital-twin", "role": "action-planner", "role_name": "Action Planner",
  "hostname": "<prefix>-action-planner",
  "skills": {
    "pilot-webhook-bridge": "Push maintenance orders to field team systems.",
    "pilot-cron": "Schedule maintenance windows during low-impact periods.",
    "pilot-slack-bridge": "Notify operations teams of recommended interventions."
  },
  "data_flows": [
    { "direction": "receive", "peer": "<prefix>-anomaly-detector", "port": 1002, "topic": "anomaly-alert", "description": "Anomaly alerts to act on" },
    { "direction": "send", "peer": "external", "port": 443, "topic": "maintenance-order", "description": "Work orders to field management systems" }
  ],
  "handshakes_needed": ["<prefix>-anomaly-detector"]
}

Data Flows

  • sensor-bridge -> model-engine : real-time telemetry from physical assets (port 1002)
  • model-engine -> anomaly-detector : predictions and expected behavior baselines (port 1002)
  • anomaly-detector -> action-planner : anomaly alerts with severity and root cause (port 1002)
  • action-planner -> external : maintenance orders to field team systems (port 443)

Workflow Example

# On sensor-bridge -- stream telemetry:
pilotctl --json publish <prefix>-model-engine telemetry '{"asset_id":"PUMP-A7","sensors":{"temperature_c":87.3,"vibration_mm_s":4.2}}'
# On model-engine -- send prediction:
pilotctl --json publish <prefix>-anomaly-detector prediction '{"asset_id":"PUMP-A7","drift_pct":{"temperature":6.3,"vibration":50.0}}'
# On anomaly-detector -- alert planner:
pilotctl --json publish <prefix>-action-planner anomaly-alert '{"asset_id":"PUMP-A7","severity":"warning","anomaly_type":"bearing_degradation"}'

Dependencies

Requires pilot-protocol skill, pilotctl binary, clawhub binary, and a running daemon.