From ac4f0fc9ab0cd23bc35ceec1edc98010499d3b94 Mon Sep 17 00:00:00 2001
From: huangjinysf <huangjinysf@163.com>
Date: Sun, 28 Dec 2025 23:32:43 +0800
Subject: [PATCH] =?UTF-8?q?feat(=E7=BB=B4=E4=BF=AE=E5=88=86=E6=9E=90):=20?=
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- 新增分段Weibull分析按钮及相关API调用逻辑
- 将结果显示区域重构为标签页形式，支持Weibull分析和维修分析两种结果展示
- 添加Weibull分析结果格式化函数，生成详细的设备可靠性报告
---
 src/views/eq/RepairSummary.vue | 212 +++++++++++++++++++++++++++++++--
 1 file changed, 202 insertions(+), 10 deletions(-)

diff --git a/src/views/eq/RepairSummary.vue b/src/views/eq/RepairSummary.vue
index a15116e..843dd23 100644
--- a/src/views/eq/RepairSummary.vue
+++ b/src/views/eq/RepairSummary.vue
@@ -113,6 +113,12 @@
         <div class="right-panel">
           <!-- 分析按钮 -->
           <div class="analysis-button-container">
+            <el-button 
+              type="success" 
+              @click="analyzeWeibull"
+              :loading="weibullAnalyzing"
+              style="margin-left: 10px;"
+            >分段Weibull分析</el-button>
             <el-button 
               type="primary" 
               @click="analyzeRepairRecords"
@@ -120,16 +126,28 @@
             >分析维修记录</el-button>
           </div>
           
-          <!-- 分析结果显示区域 -->
-          <div class="analysis-result-container">
-            <el-input
-              v-model="analysisResult"
-              type="textarea"
-              :rows="20"
-              placeholder="点击分析维修记录按钮后，分析结果将显示在这里"
-              readonly
-            />
-          </div>
+          <el-tabs type="border-card" v-model="analysisTab">
+            <el-tab-pane label="Weibull分析" name="weibullAnalysis">
+              <el-input
+                v-model="weibullResult"
+                type="textarea"
+                :rows="15"
+                placeholder="点击分段Weibull分析按钮后，分析结果将显示在这里"
+                readonly
+              />
+            </el-tab-pane>
+            
+            <el-tab-pane label="维修分析" name="repairAnalysis">
+              <el-input
+                v-model="analysisResult"
+                type="textarea"
+                :rows="15"
+                placeholder="点击分析维修记录按钮后，分析结果将显示在这里"
+                readonly
+              />
+            </el-tab-pane>
+            
+          </el-tabs>
         </div>
       </div>
       <template #footer>
@@ -175,6 +193,9 @@ const uniqueBreakdownNames = ref([])
 // 分析相关状态
 const analyzing = ref(false)
 const analysisResult = ref('')
+const weibullAnalyzing = ref(false)
+const weibullResult = ref('')
+const analysisTab = ref('repairAnalysis')
 
 // 监听设备类型变化
 watch(() => props.selectedEquipmentType, (newVal, oldVal) => {
@@ -513,6 +534,177 @@ const analyzeRepairRecords = () => {
     }
   }, 1500) // 模拟分析过程耗时
 }
+
+// 分段Weibull分析
+const analyzeWeibull = async () => {
+  if (!selectedEquipmentCode.value) {
+    weibullResult.value = '请先选择设备。'
+    return
+  }
+  
+  weibullAnalyzing.value = true
+  
+  try {
+    // 构建API参数
+    const params = new URLSearchParams({
+      equipment_code: selectedEquipmentCode.value,
+      window_size: '5'
+    })
+    
+    // 添加日期范围参数
+    if (props.dateRange && props.dateRange.start_date) {
+      params.append('start_date', props.dateRange.start_date)
+    }
+    if (props.dateRange && props.dateRange.end_date) {
+      params.append('end_date', props.dateRange.end_date)
+    }
+    
+    // 添加故障名称筛选
+    if (selectedBreakdownName.value) {
+      params.append('breakdown_name_filter', selectedBreakdownName.value)
+    }
+    
+    const apiUrl = `${API_CONFIG.BASE_URL}/api/eq-repair/weibull/analysis?${params.toString()}`
+    console.log('Weibull分析API URL:', apiUrl)
+    
+    const response = await fetch(apiUrl)
+    const data = await response.json()
+    
+    console.log('Weibull分析返回数据:', data)
+    
+    if (data.code === 200 && data.data) {
+      if (data.data.original_count === 0 || data.data.valid_count === 0) {
+        weibullResult.value = `=== 设备 ${selectedEquipmentCode.value} 分段Weibull分析报告 ===\n\n` +
+          `【分析结果】\n` +
+          `- 在指定的时间范围内，该设备没有足够的维修记录数据进行分析。\n` +
+          `- 可能原因：\n` +
+          `  1. 该设备在所选日期范围内没有维修记录\n` +
+          `  2. 故障记录数据不完整\n` +
+          `- 建议：\n` +
+          `  1. 尝试扩大日期范围\n` +
+          `  2. 选择其他设备进行分析\n` +
+          `  3. 检查该设备的实际维修记录\n\n` +
+          `API返回信息: ${JSON.stringify(data.data, null, 2)}`
+      } else {
+        weibullResult.value = formatWeibullResult(data.data)
+      }
+    } else if (data.detail) {
+      weibullResult.value = `API错误: ${data.detail}`
+    } else if (data.message) {
+      weibullResult.value = `API消息: ${data.message}`
+    } else {
+      weibullResult.value = `未能获取到有效的分析结果。\n\n原始响应: ${JSON.stringify(data, null, 2)}`
+    }
+  } catch (error) {
+    console.error('Weibull分析API调用失败:', error)
+    weibullResult.value = `分析失败: ${error.message}`
+  } finally {
+    weibullAnalyzing.value = false
+  }
+}
+
+// 格式化Weibull分析结果
+const formatWeibullResult = (data) => {
+  let result = `=== 设备 ${data.equipment_code || selectedEquipmentCode.value} 分段Weibull分析报告 ===\n`
+  result += `【消息】${data.message || '分析完成'}\n\n`
+  
+  // 基本统计
+  result += `【基本统计】\n`
+  result += `- 设备编号: ${data.equipment_code || 'N/A'}\n`
+  result += `- 维修记录数: ${data.record_count || 0} 条\n`
+  result += `- 分析窗口大小: ${data.window_size || 'N/A'}\n`
+  result += `- 间隔数: ${data.interval_count || 0}\n`
+  result += `- 平均间隔天数: ${data.avg_interval_days?.toFixed(2) || 'N/A'} 天\n`
+  result += `- 标准差间隔天数: ${data.std_interval_days?.toFixed(2) || 'N/A'} 天\n`
+  result += `- 当前运行天数: ${data.current_runtime_days?.toFixed(2) || 'N/A'} 天\n\n`
+  
+  // Weibull参数
+  result += `【Weibull分布参数】\n`
+  result += `- 模型类型: ${data.model_type || 'N/A'}\n`
+  result += `- 形状参数(β): ${data.current_weibull_beta?.toFixed(4) || 'N/A'}\n`
+  result += `- 尺度参数(η): ${data.current_weibull_eta?.toFixed(2) || 'N/A'} 天\n\n`
+  
+  // 失效概率预测
+  if (data.predictions) {
+    result += `【失效概率预测】\n`
+    const pred = data.predictions
+    if (pred['7_days_failure_prob'] !== undefined) {
+      result += `- 7天失效概率: ${pred['7_days_failure_prob'].toFixed(2)}%\n`
+    }
+    if (pred['15_days_failure_prob'] !== undefined) {
+      result += `- 15天失效概率: ${pred['15_days_failure_prob'].toFixed(2)}%\n`
+    }
+    if (pred['30_days_failure_prob'] !== undefined) {
+      result += `- 30天失效概率: ${pred['30_days_failure_prob'].toFixed(2)}%\n`
+    }
+    if (pred['60_days_failure_prob'] !== undefined) {
+      result += `- 60天失效概率: ${pred['60_days_failure_prob'].toFixed(2)}%\n`
+    }
+    if (pred['90_days_failure_prob'] !== undefined) {
+      result += `- 90天失效概率: ${pred['90_days_failure_prob'].toFixed(2)}%\n`
+    }
+    result += `\n`
+  }
+  
+  // 分析结论
+  result += `【分析结论】\n`
+  
+  if (data.current_weibull_beta !== undefined) {
+    const beta = data.current_weibull_beta
+    let reliabilityTrend = ''
+    let maintenanceAdvice = ''
+    
+    if (beta < 1) {
+      reliabilityTrend = '设备处于"早期失效期"，故障率随时间下降'
+      maintenanceAdvice = '建议：加强初期调试和磨合期监控，及时更换早期失效的部件'
+    } else if (beta >= 1 && beta < 1.5) {
+      reliabilityTrend = '设备处于"随机失效期"，故障率相对稳定'
+      maintenanceAdvice = '建议：执行预防性维护，保持当前维护计划'
+    } else {
+      reliabilityTrend = '设备处于"磨损失效期"，故障率随时间增加'
+      maintenanceAdvice = '建议：考虑预防性更换关键部件，制定大修计划'
+    }
+    
+    result += `- 可靠性趋势: ${reliabilityTrend}\n`
+    result += `- 维护建议: ${maintenanceAdvice}\n`
+  }
+  
+  if (data.current_weibull_eta !== undefined) {
+    const eta = data.current_weibull_eta
+    result += `- 特征寿命(η): ${eta.toFixed(2)} 天，约 ${(eta / 30).toFixed(1)} 个月\n`
+    result += `  (表示63.2%设备预计在此时间内失效的时间点)\n`
+  }
+  
+  if (data.avg_interval_days !== undefined && data.std_interval_days !== undefined) {
+    result += `- 平均维修间隔: ${data.avg_interval_days.toFixed(2)} 天\n`
+    result += `- 间隔标准差: ${data.std_interval_days.toFixed(2)} 天\n`
+    
+    const cv = (data.std_interval_days / data.avg_interval_days * 100).toFixed(1)
+    result += `- 变异系数: ${cv}%\n`
+    
+    if (parseFloat(cv) < 30) {
+      result += `- 维修间隔较稳定，维护计划可预测性高\n`
+    } else {
+      result += `- 维修间隔波动较大，建议进一步分析影响维修间隔的因素\n`
+    }
+  }
+  
+  if (data.current_runtime_days !== undefined) {
+    const eta = data.current_weibull_eta || 0
+    const runtime = data.current_runtime_days
+    if (eta > 0) {
+      const ratio = (runtime / eta * 100).toFixed(1)
+      result += `\n- 当前已运行: ${runtime.toFixed(2)} 天 (占特征寿命的 ${ratio}%)\n`
+      if (parseFloat(ratio) > 50) {
+        result += `- 警告：设备已超过特征寿命的50%，建议密切关注设备状态\n`
+      }
+    }
+  }
+  
+  result += `\n`
+  
+  return result
+}
 </script>
 
 <style scoped>