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get clone http://82.156.249.211:3000/lwc12138/Agents.git
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刘伟驰.Coze多智能体项目文档:工业设备故障诊断与维修方案智能生成系统.md
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刘伟驰.Coze多智能体项目文档:工业设备故障诊断与维修方案智能生成系统.md
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# Coze多智能体项目文档:**工业设备故障诊断与维修方案智能生成系统**
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## 一、立项背景
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### 1.1 业务痛点(高复杂度制造场景)
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某精密电子贴片厂拥有200+台SMT生产线设备(贴片机、回流焊、AOI检测),面临:
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- **诊断依赖老师傅**:设备异响/误报需5年以上经验工程师现场排查,年均离职率12%,知识流失严重
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- **维修方案碎片化**:同类故障因工程师习惯不同,维修耗时差异达3倍,且缺乏标准化风险预案
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- **隐性成本失控**:误判故障等级导致"过度维修"或"带风险运行",年均损失超300万元
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- **备件调度滞后**:维修方案未与库存联动,30%的维修等待超过4小时
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### 1.2 提效目标
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构建**1个父Agent+多个子Agent**的工业级诊断大脑:
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- **诊断时效**:复杂故障平均诊断时间从90分钟缩短至8分钟
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- **方案标准化**:生成含**FMEA风险分析**的维修工单,工艺合规率100%
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- **预测性决策**:识别15%的"伪故障"(实际为参数漂移),避免无效拆机
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- **库存联动**:方案自动生成备件需求并触发预拣货
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---
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## 二、业务流程设计
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### 2.1 整体流程图
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### 2.2 工作流节点详细说明
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**父Agent:诊断调度中心(工业级Orchestrator)**
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**子Agent1:故障模式识别专家(FMR-Agent),维修工艺规划师(MOP-Agent),成本风险分析师(CRA-Agent)**
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第二个工作流内容:
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### 三、 智能体示例
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!
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