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iot-anomalies

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Original

English
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Translation

Chinese
Run Z-score anomaly detection on a device's recent telemetry.
Steps:
  1. npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot anomalies DEVICE_ID
  2. Review detected anomaly types (spike, flatline, drift, oscillation, pattern-break, cluster-outlier)
  3. If score > 0.9, recommend quarantine
  4. Store anomaly pattern for learning: 
    mcp__claude-flow__memory_store({ key: "iot-anomaly-DEVICEID", value: "TYPE at SCORE", namespace: "iot-anomalies" })
对设备近期的遥测数据运行Z-score异常检测。
步骤:
  1. npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot anomalies DEVICE_ID
  2. 查看检测到的异常类型（峰值、平线、漂移、振荡、模式中断、聚类离群值）
  3. 若得分>0.9，建议隔离设备
  4. 存储异常模式用于学习: 
    mcp__claude-flow__memory_store({ key: "iot-anomaly-DEVICEID", value: "TYPE at SCORE", namespace: "iot-anomalies" })