feat(mfg-data-agent): 重构项目为制造业数据智能体
- 将项目从 lzwcai-mcpskills-analyzeOrder 重命名为 lzwcai-mcpskills-mfg-data-agent - 更新 README.md 中的项目描述，专注制造业数据分析与智能决策 - 修改配置文件和安装命令以匹配新项目名称 - 更新 MCP 服务器配置，使用新的命令名称 - 调整示例查询配置，从用户订单查询改为生产订单查询 - 更新依赖包和模块导入路径 - 修正项目描述和关键词，突出制造业数据智能体特性
This commit is contained in:
409
lzwcai_mcpskills_mfg_data_agent/工单执行进度与异常节点.sql
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409
lzwcai_mcpskills_mfg_data_agent/工单执行进度与异常节点.sql
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-- =====================================================
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-- 工单执行进度与异常节点SQL
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-- 数据库: PostgreSQL
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-- 实时拉取工单数据，动态映射订单各环节状态
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-- =====================================================
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-- =====================================================
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-- 1. 工单执行进度主视图
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-- =====================================================
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WITH work_order_base AS (
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SELECT
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wo.work_order_id,
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wo.work_order_number,
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wo.product_id,
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wo.status,
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wo.planned_qty,
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wo.completed_qty,
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wo.event_time_utc::timestamp AS start_time,
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wo.last_updated_utc::timestamp AS last_update,
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wo.source_system
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FROM fact_work_order wo
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),
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product_info AS (
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SELECT
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product_id,
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product_name,
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product_category
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FROM dim_product
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WHERE is_current = 't'
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),
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labor_summary AS (
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SELECT
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work_order_number,
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COUNT(DISTINCT worker_name) AS worker_count,
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SUM(report_qty) AS total_report_qty,
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SUM(duration_minutes) AS total_minutes,
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MAX(event_time_utc::timestamp) AS last_report_time
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FROM fact_labor_report
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GROUP BY work_order_number
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),
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quality_summary AS (
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SELECT
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work_order_number,
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SUM(pass_qty) AS pass_qty,
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SUM(fail_qty) AS fail_qty
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FROM fact_quality_inspection
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GROUP BY work_order_number
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),
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-- =====================================================
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-- 2. 工单进度计算与状态映射
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-- =====================================================
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work_order_progress AS (
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SELECT
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wb.work_order_id,
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wb.work_order_number,
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p.product_name,
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p.product_category,
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wb.status AS raw_status,
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-- 状态映射
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CASE wb.status
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WHEN 'OPEN' THEN '待生产'
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WHEN 'STARTED' THEN '生产中'
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WHEN 'CLOSED' THEN '已完成'
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ELSE '未知'
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END AS status_name,
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wb.planned_qty,
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wb.completed_qty,
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-- 完成进度
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CASE WHEN wb.planned_qty > 0
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THEN ROUND(wb.completed_qty * 100.0 / wb.planned_qty, 1)
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ELSE 0 END AS completion_rate,
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-- 剩余数量
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GREATEST(wb.planned_qty - wb.completed_qty, 0) AS remaining_qty,
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wb.start_time,
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wb.last_update,
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-- 已用时间(小时)
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ROUND(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wb.start_time)) / 3600, 1) AS elapsed_hours,
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-- 报工信息
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COALESCE(ls.worker_count, 0) AS worker_count,
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COALESCE(ls.total_report_qty, 0) AS total_report_qty,
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COALESCE(ls.total_minutes, 0) AS total_work_minutes,
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ls.last_report_time,
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-- 质检信息
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COALESCE(qs.pass_qty, 0) AS qc_pass_qty,
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COALESCE(qs.fail_qty, 0) AS qc_fail_qty
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FROM work_order_base wb
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LEFT JOIN product_info p ON wb.product_id = p.product_id
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LEFT JOIN labor_summary ls ON wb.work_order_number = ls.work_order_number
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LEFT JOIN quality_summary qs ON wb.work_order_number = qs.work_order_number
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),
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-- =====================================================
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-- 3. 异常节点检测
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-- =====================================================
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anomaly_detection AS (
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SELECT
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*,
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-- 进度异常：进行中但完成率过低
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CASE
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WHEN raw_status = 'STARTED' AND elapsed_hours > 48 AND completion_rate < 20 THEN '进度严重滞后'
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WHEN raw_status = 'STARTED' AND elapsed_hours > 24 AND completion_rate < 30 THEN '进度滞后'
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ELSE NULL
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END AS progress_anomaly,
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-- 质量异常：废品率过高
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CASE
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WHEN qc_pass_qty + qc_fail_qty > 0
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AND qc_fail_qty * 100.0 / (qc_pass_qty + qc_fail_qty) > 10 THEN '质量异常'
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ELSE NULL
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END AS quality_anomaly,
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-- 报工异常：长时间无报工
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CASE
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WHEN raw_status = 'STARTED'
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AND last_report_time IS NOT NULL
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AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24 THEN '报工停滞'
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WHEN raw_status = 'STARTED'
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AND last_report_time IS NULL
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AND elapsed_hours > 24 THEN '无报工记录'
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ELSE NULL
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END AS labor_anomaly,
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-- 效率异常：人效过低
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CASE
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WHEN total_work_minutes > 0
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AND total_report_qty / (total_work_minutes / 60.0) < 5 THEN '效率偏低'
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ELSE NULL
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END AS efficiency_anomaly
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FROM work_order_progress
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)
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-- =====================================================
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-- 输出：工单执行进度明细
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-- =====================================================
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SELECT
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work_order_number AS "工单号",
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product_name AS "产品名称",
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product_category AS "产品类别",
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status_name AS "状态",
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planned_qty AS "计划数量",
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completed_qty AS "完成数量",
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remaining_qty AS "剩余数量",
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completion_rate AS "完成率(%)",
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worker_count AS "参与人数",
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ROUND(total_work_minutes / 60.0, 1) AS "累计工时(小时)",
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elapsed_hours AS "已用时间(小时)",
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-- 异常标记
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COALESCE(progress_anomaly, '') ||
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CASE WHEN progress_anomaly IS NOT NULL AND quality_anomaly IS NOT NULL THEN ',' ELSE '' END ||
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COALESCE(quality_anomaly, '') ||
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CASE WHEN (progress_anomaly IS NOT NULL OR quality_anomaly IS NOT NULL) AND labor_anomaly IS NOT NULL THEN ',' ELSE '' END ||
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COALESCE(labor_anomaly, '') ||
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CASE WHEN (progress_anomaly IS NOT NULL OR quality_anomaly IS NOT NULL OR labor_anomaly IS NOT NULL) AND efficiency_anomaly IS NOT NULL THEN ',' ELSE '' END ||
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COALESCE(efficiency_anomaly, '') AS "异常标记",
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-- 风险等级
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CASE
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WHEN progress_anomaly = '进度严重滞后' OR quality_anomaly IS NOT NULL THEN '高'
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WHEN progress_anomaly = '进度滞后' OR labor_anomaly IS NOT NULL THEN '中'
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WHEN efficiency_anomaly IS NOT NULL THEN '低'
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ELSE '-'
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END AS "风险等级"
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FROM anomaly_detection
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ORDER BY
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CASE raw_status WHEN 'STARTED' THEN 1 WHEN 'OPEN' THEN 2 ELSE 3 END,
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CASE WHEN progress_anomaly IS NOT NULL THEN 0 ELSE 1 END,
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completion_rate ASC;
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-- =====================================================
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-- 补充查询1：工单状态分布汇总
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-- =====================================================
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WITH status_summary AS (
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SELECT
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CASE status
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WHEN 'OPEN' THEN '待生产'
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WHEN 'STARTED' THEN '生产中'
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WHEN 'CLOSED' THEN '已完成'
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ELSE '未知'
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END AS status_name,
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status AS raw_status,
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COUNT(*) AS order_count,
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SUM(planned_qty) AS total_planned,
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SUM(completed_qty) AS total_completed
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FROM fact_work_order
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GROUP BY status
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)
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SELECT
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status_name AS "状态",
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order_count AS "工单数",
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ROUND(order_count * 100.0 / SUM(order_count) OVER (), 1) AS "占比(%)",
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ROUND(total_planned, 0) AS "计划总量",
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ROUND(total_completed, 0) AS "完成总量",
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CASE WHEN total_planned > 0
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THEN ROUND(total_completed * 100.0 / total_planned, 1)
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ELSE 0 END AS "完成率(%)"
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FROM status_summary
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ORDER BY
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CASE raw_status WHEN 'STARTED' THEN 1 WHEN 'OPEN' THEN 2 ELSE 3 END;
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-- =====================================================
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-- 补充查询2：异常工单预警清单
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-- =====================================================
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WITH work_order_anomaly AS (
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SELECT
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wo.work_order_number,
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p.product_name,
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wo.status,
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wo.planned_qty,
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wo.completed_qty,
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CASE WHEN wo.planned_qty > 0
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THEN ROUND(wo.completed_qty * 100.0 / wo.planned_qty, 1)
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ELSE 0 END AS completion_rate,
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ROUND(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wo.event_time_utc::timestamp)) / 3600, 1) AS elapsed_hours,
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(SELECT MAX(lr.event_time_utc::timestamp)
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FROM fact_labor_report lr
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WHERE lr.work_order_number = wo.work_order_number) AS last_report_time
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FROM fact_work_order wo
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LEFT JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
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WHERE wo.status = 'STARTED'
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)
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SELECT
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work_order_number AS "工单号",
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product_name AS "产品",
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ROUND(planned_qty, 0) AS "计划数量",
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ROUND(completed_qty, 0) AS "完成数量",
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completion_rate AS "完成率(%)",
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elapsed_hours AS "已用时间(小时)",
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CASE
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WHEN elapsed_hours > 48 AND completion_rate < 20 THEN '进度严重滞后'
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WHEN elapsed_hours > 24 AND completion_rate < 30 THEN '进度滞后'
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WHEN last_report_time IS NULL AND elapsed_hours > 24 THEN '无报工记录'
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WHEN last_report_time IS NOT NULL
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AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24 THEN '报工停滞'
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ELSE '正常'
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END AS "异常类型",
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CASE
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WHEN elapsed_hours > 48 AND completion_rate < 20 THEN '立即跟进，排查生产瓶颈'
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WHEN elapsed_hours > 24 AND completion_rate < 30 THEN '关注进度，协调资源'
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WHEN last_report_time IS NULL AND elapsed_hours > 24 THEN '确认工单是否已开工'
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WHEN last_report_time IS NOT NULL
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AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24 THEN '跟进报工情况'
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ELSE '-'
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END AS "处理建议"
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FROM work_order_anomaly
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WHERE elapsed_hours > 24 AND completion_rate < 50
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OR (last_report_time IS NULL AND elapsed_hours > 24)
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OR (last_report_time IS NOT NULL
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AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - last_report_time)) / 3600 > 24)
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ORDER BY
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CASE
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WHEN elapsed_hours > 48 AND completion_rate < 20 THEN 1
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WHEN elapsed_hours > 24 AND completion_rate < 30 THEN 2
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ELSE 3
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END,
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completion_rate ASC;
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-- =====================================================
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-- 补充查询3：产品类别执行进度汇总
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-- =====================================================
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SELECT
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p.product_category AS "产品类别",
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COUNT(*) AS "工单数",
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SUM(CASE WHEN wo.status = 'OPEN' THEN 1 ELSE 0 END) AS "待生产",
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SUM(CASE WHEN wo.status = 'STARTED' THEN 1 ELSE 0 END) AS "生产中",
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SUM(CASE WHEN wo.status = 'CLOSED' THEN 1 ELSE 0 END) AS "已完成",
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ROUND(SUM(wo.planned_qty), 0) AS "计划总量",
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ROUND(SUM(wo.completed_qty), 0) AS "完成总量",
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CASE WHEN SUM(wo.planned_qty) > 0
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THEN ROUND(SUM(wo.completed_qty) * 100.0 / SUM(wo.planned_qty), 1)
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ELSE 0 END AS "整体完成率(%)"
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FROM fact_work_order wo
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LEFT JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
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GROUP BY p.product_category
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ORDER BY "工单数" DESC;
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-- =====================================================
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-- 补充查询4：工单执行时间线
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-- =====================================================
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WITH timeline AS (
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SELECT
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wo.work_order_number,
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p.product_name,
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wo.status,
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wo.event_time_utc::timestamp AS start_time,
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wo.last_updated_utc::timestamp AS last_update,
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CASE WHEN wo.status = 'CLOSED'
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THEN ROUND(EXTRACT(EPOCH FROM (wo.last_updated_utc::timestamp - wo.event_time_utc::timestamp)) / 3600, 1)
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ELSE ROUND(EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wo.event_time_utc::timestamp)) / 3600, 1)
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END AS duration_hours,
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wo.planned_qty,
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wo.completed_qty
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FROM fact_work_order wo
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LEFT JOIN dim_product p ON wo.product_id = p.product_id AND p.is_current = 't'
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)
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SELECT
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work_order_number AS "工单号",
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product_name AS "产品",
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CASE status
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WHEN 'OPEN' THEN '待生产'
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WHEN 'STARTED' THEN '生产中'
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WHEN 'CLOSED' THEN '已完成'
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END AS "状态",
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TO_CHAR(start_time, 'YYYY-MM-DD HH24:MI') AS "开始时间",
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TO_CHAR(last_update, 'YYYY-MM-DD HH24:MI') AS "最后更新",
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duration_hours AS "持续时间(小时)",
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ROUND(planned_qty, 0) AS "计划数量",
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ROUND(completed_qty, 0) AS "完成数量",
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CASE WHEN planned_qty > 0
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THEN ROUND(completed_qty * 100.0 / planned_qty, 1)
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ELSE 0 END AS "完成率(%)"
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FROM timeline
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ORDER BY start_time DESC
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LIMIT 50;
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-- =====================================================
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-- 补充查询5：实时生产看板汇总
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-- =====================================================
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WITH current_stats AS (
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SELECT
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COUNT(*) AS total_orders,
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SUM(CASE WHEN status = 'OPEN' THEN 1 ELSE 0 END) AS open_orders,
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SUM(CASE WHEN status = 'STARTED' THEN 1 ELSE 0 END) AS started_orders,
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SUM(CASE WHEN status = 'CLOSED' THEN 1 ELSE 0 END) AS closed_orders,
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SUM(planned_qty) AS total_planned,
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SUM(completed_qty) AS total_completed
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FROM fact_work_order
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),
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anomaly_stats AS (
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SELECT
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COUNT(*) AS anomaly_count
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FROM fact_work_order wo
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WHERE wo.status = 'STARTED'
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AND EXTRACT(EPOCH FROM (CURRENT_TIMESTAMP - wo.event_time_utc::timestamp)) / 3600 > 24
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AND wo.completed_qty * 100.0 / NULLIF(wo.planned_qty, 0) < 30
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),
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today_stats AS (
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SELECT
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COUNT(*) AS today_completed
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FROM fact_work_order
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WHERE status = 'CLOSED'
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AND last_updated_utc::date = CURRENT_DATE
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)
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SELECT
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'总工单数' AS "指标",
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cs.total_orders::text AS "数值",
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'-' AS "状态"
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FROM current_stats cs
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UNION ALL
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SELECT
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'待生产',
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cs.open_orders::text,
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CASE WHEN cs.open_orders > 20 THEN '积压' ELSE '正常' END
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FROM current_stats cs
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UNION ALL
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SELECT
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'生产中',
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cs.started_orders::text,
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'进行中'
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FROM current_stats cs
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UNION ALL
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SELECT
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'已完成',
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cs.closed_orders::text,
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'正常'
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FROM current_stats cs
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UNION ALL
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SELECT
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'整体完成率',
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ROUND(cs.total_completed * 100.0 / NULLIF(cs.total_planned, 0), 1)::text || '%',
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CASE
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WHEN cs.total_completed * 100.0 / NULLIF(cs.total_planned, 0) >= 80 THEN '良好'
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WHEN cs.total_completed * 100.0 / NULLIF(cs.total_planned, 0) >= 50 THEN '正常'
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ELSE '偏低'
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END
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FROM current_stats cs
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UNION ALL
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SELECT
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'异常工单数',
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ans.anomaly_count::text,
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CASE WHEN ans.anomaly_count > 5 THEN '需关注' ELSE '正常' END
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FROM anomaly_stats ans
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UNION ALL
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SELECT
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'今日完成',
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ts.today_completed::text,
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'-'
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FROM today_stats ts;
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