dgiot/iotstudio/edge-onboarding

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Install

npx vskill@latest install dgiot/iotstudio/edge-onboarding

SKILL.md

Edge Onboarding — 设备接入 → 物模型映射 → 推送验证

多源输入 → 点表提取 → 物模型映射 → 模拟采集 → 推送回环 的边缘侧标准化管线。 对应中枢侧技能：dgaiot 仓库 skills/fde-ontology（本技能的下游）。

触发条件

  • "接入设备" / "新增设备类型" / "设备建模"
  • "新增协议" / "写采集插件" / "接 Modbus/OPC/IEC104"
  • "点表映射" / "采集配置" / "测点规划"
  • "推送验证" / "链路冒烟" / "数据没到中枢"

输入源 → 提取器

输入格式提取内容产出
寄存器表.xlsx地址·功能码·类型·量程·单位thing_model.properties[]
OPC 节点树.xml / 浏览导出namespace·节点路径·数据类型点位清单[]
MQTT 样例报文.json/.txt主题结构·payload 字段topic 规划 + 映射规则
IEC 104 点表.csv/.xlsx信息体地址·ASDU 类型·缩放点位清单[]
运行日志.log实际地址·测点名·采集周期校验后的采集配置
设备台账.docx/.xlsx设备名·型号·协议·从站号Device[] + Gateway[]

工作流

Phase 1: EXTRACT   从寄存器表/节点树提取点位 → thing_model（属性/类型/单位/量程）
Phase 2: MAP       物模型 → MQTT 主题映射（dgiot/{site}/{gateway}/{device}/{point}/data）
                   命名审核：小写下划线、单位用 SI、禁中文键名
Phase 3: COLLECT   写/配采集插件（plugins/）→ simulators/ 起对应模拟器 → 观察推送日志
Phase 4: PUSH      hub_smoke.py 验证中枢回环（dgiot/# 订阅确认）
Phase 5: VERIFY    中枢侧确认（EMQX dashboard 18083 / TDengine 落库）→ 本体实例化（中枢技能接管）

验收标准

  • 每个测点有：类型、单位、量程、采集周期、失败重试策略
  • 模拟器数据可在中枢 TDengine 查到（表名 = 设备实例）
  • 推送失败有本地缓冲，恢复后补传
  • 新增协议只动 plugins/，不改 src/ 核心管道

Security

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  • Model reviewPassed

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