commit b013013772a9744ae5c6da02bffc92bf75c4a71c
Author: lwc12138 <2589048535@qq.com>
Date:   Fri Jan 30 18:18:10 2026 +0800

    first commit

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+get clone http://82.156.249.211:3000/lwc12138/Agents.git
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diff --git a/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 b/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**
+
+## 一、立项背景
+
+### 1.1 业务痛点（高复杂度制造场景）
+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：
+- **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
+- **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
+- **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
+- **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
+
+### 1.2 提效目标
+构建**1个父Agent+多个子Agent**的工业级诊断大脑：
+- **诊断时效**：复杂故障平均诊断时间从90分钟缩短至8分钟
+- **方案标准化**：生成含**FMEA风险分析**的维修工单，工艺合规率100%
+- **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
+- **库存联动**：方案自动生成备件需求并触发预拣货
+
+---
+
+## 二、业务流程设计
+
+### 2.1 整体流程图
+
+![1763729323360](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1763729323360.png)
+
+### 2.2 工作流节点详细说明
+
+**父Agent：诊断调度中心（工业级Orchestrator）**
+
+![1764137732013](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764137732013.png)
+
+**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）**
+
+![1764137887893](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764137887893.png)
+
+![1764137934833](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764137934833.png)
+
+第二个工作流内容：
+
+![1764138329660](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764138329660.png)
+
+
+
+### 三、 智能体示例
+
+![1764138411787](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764138411787.png)
+
+!![1764140187781](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764140187781.png)
+
+![1764139817943](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764139817943.png)
+
+![1764139860490](C:\Users\86152\AppData\Roaming\Typora\typora-user-images\1764139860490.png)
+
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