客戶健康指標告警

AI → Human

AI 分析穿戴裝置資料以偵測異常模式,並告警健身教練。

5 個節點 · 4 條連接fitness
eventagenthumanapi
視覺化
穿戴裝置資料串流event

來自穿戴裝置的心率、心率變異、睡眠品質與恢復分數。

sequentialAI 健康指標分析
AI 健康指標分析agent

偵測過度訓練、恢復不足或異常心臟模式。

conditional異常模式標記
異常模式標記system

分類:過度訓練風險、恢復不足或需要醫療轉介。

sequential教練告警
教練告警api

行動通知,附帶客戶健康摘要與標記指標。

sequential調整訓練建議
調整訓練建議human

教練調整訓練強度、增加休息日或建議進行健康檢查。

uc-client-health-alert.osop.yaml
osop_version: "1.0"
id: "client-health-alert"
name:"客戶健康指標告警"
description:"AI 分析穿戴裝置資料以偵測異常模式,並告警健身教練。"

nodes:
  - id: "wearable_stream"
    type: "event"
    name: "穿戴裝置資料串流"
    description: "來自穿戴裝置的心率、心率變異、睡眠品質與恢復分數。"

  - id: "health_analysis"
    type: "agent"
    subtype: "llm"
    name: "AI 健康指標分析"
    description: "偵測過度訓練、恢復不足或異常心臟模式。"
    security:
      risk_level: "medium"

  - id: "abnormal_flag"
    type: "system"
    name: "異常模式標記"
    description: "分類:過度訓練風險、恢復不足或需要醫療轉介。"

  - id: "trainer_alert"
    type: "api"
    name: "教練告警"
    description: "行動通知,附帶客戶健康摘要與標記指標。"

  - id: "workout_modification"
    type: "human"
    subtype: "review"
    name: "調整訓練建議"
    description: "教練調整訓練強度、增加休息日或建議進行健康檢查。"
    security:
      approval_gate: true

edges:
  - from: "wearable_stream"
    to: "health_analysis"
    mode: "sequential"
  - from: "health_analysis"
    to: "abnormal_flag"
    mode: "conditional"
    when: "anomaly.detected == true"
  - from: "abnormal_flag"
    to: "trainer_alert"
    mode: "sequential"
  - from: "trainer_alert"
    to: "workout_modification"
    mode: "sequential"