1、PC端绩效管理

2、绩效统计归一化公式变动

airport-admin/src/main/java/com/sundot/airport/web/controller/item/PerformanceDimensionController.java

@@ -64,11 +64,6 @@ public class PerformanceDimensionController {
     @Autowired
     private SysUserMapper userMapper;
 
-    //先写死，后期可能会变
-    private static final double a = 3;
-    private static final double b = 5;
-    private static final double c = 2;
-
     /**
      * 基于时间维度的绩效统计查询
      * 返回时间维度组织的数据结构：时间 -> [对象名称, 数值] 列表
@@ -179,21 +174,19 @@ public class PerformanceDimensionController {
             sortAndLimitDataItemsByAverage(timeDataList, param);
         }
 
-        // 根据维度类型决定是否限制数量
-        if (param.getDimension() != null && param.getDimension() != 4) {
-            // 对上个月的数据进行处理
-            if (lastTimeDataList != null && !lastTimeDataList.isEmpty()) {
+        // 对上个月数据进行排序和限制
+        if (lastTimeDataList != null && !lastTimeDataList.isEmpty()) {
+            if (param.getDimension() != null && param.getDimension() != 4) {
                 if (param.getDimensionType() == 1) {
                     sortDataItemsByProgressOnly(lastTimeDataList, param);
                 } else {
                     sortDataItemsByAverageOnly(lastTimeDataList, param);
                 }
-                Map<Long, List<BigDecimal>> idToValuesMap = new HashMap<>();
-                for (TimeBasedPerformanceResult.TimeData timeData : lastTimeDataList) {
-                    for (TimeBasedPerformanceResult.DataItem item : timeData.getDataItems()) {
-                        idToValuesMap.computeIfAbsent(item.getId(), k -> new ArrayList<>())
-                                .add(item.getValue() != null ? item.getValue() : BigDecimal.ZERO);
-                    }
+            }
+            for (TimeBasedPerformanceResult.TimeData timeData : lastTimeDataList) {
+                for (TimeBasedPerformanceResult.DataItem item : timeData.getDataItems()) {
+                    Long id = item.getId();
+                    lastMonthValues.putIfAbsent(id, item.getValue() != null ? item.getValue() : BigDecimal.ZERO);
                 }
             }
         }
@@ -828,7 +821,7 @@ public class PerformanceDimensionController {
         for (LargeScreenDateUtils.DateRange range : timeRanges) {
             PerformanceMetricsParamDto param = new PerformanceMetricsParamDto();
             param.setStartTime(range.getStartDate());
-            param.setEndTime(range.getEndDate());
+            param.setEndTime(DateUtils.addDays(range.getEndDate(), 1));
             param.setDimension(dimension);
             List<PerformanceDimensionResult> performanceDimensionResults = calculateCurrentPeriodResults(param);
             String timeKey = getTimeRangeKey(range);
@@ -1375,24 +1368,25 @@ public class PerformanceDimensionController {
             // 获取各项指标原始值
             BigDecimal seizureRaw = seizureData.stream().filter(item -> item.getId().equals(userId)).map(SeizureEfficiencyRankDto::getEfficiency).findFirst().orElse(BigDecimal.ZERO);
             BigDecimal inspectionRaw = inspectionData.stream().filter(item -> item.getId().equals(userId)).map(CheckEfficiencyRankDto::getPassRate).findFirst().orElse(BigDecimal.ZERO);
-            BigDecimal trainingRaw = normalizeFromMap(userId, trainingData);
+            BigDecimal trainingRaw = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeFromMap(userId, trainingData)));
 
             // 标准化处理（线性归一化）
-            normalized.seizureEfficiency = normalizeValue(seizureRaw,
+            normalized.seizureEfficiency = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeValue(seizureRaw,
                     getMinValue(seizureData, SeizureEfficiencyRankDto::getEfficiency),
-                    getMaxValue(seizureData, SeizureEfficiencyRankDto::getEfficiency), "w1");
+                    getMaxValue(seizureData, SeizureEfficiencyRankDto::getEfficiency))));
 
-            normalized.inspectionPassRate = normalizeValue(inspectionRaw,
+            normalized.inspectionPassRate = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeValue(inspectionRaw,
                     getMinValue(inspectionData, CheckEfficiencyRankDto::getPassRate),
-                    getMaxValue(inspectionData, CheckEfficiencyRankDto::getPassRate), "w2");
-
-
-            normalized.trainingScore = calculateWithWeights(trainingRaw, "w3");
+                    getMaxValue(inspectionData, CheckEfficiencyRankDto::getPassRate))));
 
             // 计算总分
-            normalized.totalScore = normalized.seizureEfficiency
-                    .add(normalized.inspectionPassRate)
-                    .add(normalized.trainingScore);
+            normalized.totalScore = calculateWithWeights(normalized.seizureEfficiency, "w1")
+                    .add(calculateWithWeights(normalized.inspectionPassRate, "w2"))
+                    .add(calculateWithWeights(trainingRaw, "w3"));
+
+            normalized.trainingScore = trainingRaw.multiply(new BigDecimal(100));
+            normalized.seizureEfficiency = normalized.seizureEfficiency.multiply(new BigDecimal(100));
+            normalized.inspectionPassRate = normalized.inspectionPassRate.multiply(new BigDecimal(100));
 
             results.add(normalized);
         }
@@ -1449,24 +1443,26 @@ public class PerformanceDimensionController {
             // 获取各项指标原始值
             BigDecimal seizureRaw = seizureData.stream().filter(item -> item.getId().equals(groupId)).map(SeizureEfficiencyRankDto::getEfficiency).findFirst().orElse(BigDecimal.ZERO);
             BigDecimal inspectionRaw = inspectionData.stream().filter(item -> item.getId().equals(groupId)).map(CheckEfficiencyRankDto::getPassRate).findFirst().orElse(BigDecimal.ZERO);
-            BigDecimal trainingRaw = normalizeFromMap(groupId, trainingData);
+            BigDecimal trainingRaw = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeFromMap(groupId, trainingData)));
 
 
             // 标准化处理
-            normalized.seizureEfficiency = normalizeValue(seizureRaw,
+            normalized.seizureEfficiency = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeValue(seizureRaw,
                     getMinValue(seizureData, SeizureEfficiencyRankDto::getEfficiency),
-                    getMaxValue(seizureData, SeizureEfficiencyRankDto::getEfficiency), "w1");
+                    getMaxValue(seizureData, SeizureEfficiencyRankDto::getEfficiency))));
 
-            normalized.inspectionPassRate = normalizeValue(inspectionRaw,
+            normalized.inspectionPassRate = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeValue(inspectionRaw,
                     getMinValue(inspectionData, CheckEfficiencyRankDto::getPassRate),
-                    getMaxValue(inspectionData, CheckEfficiencyRankDto::getPassRate), "w2");
-
-            normalized.trainingScore = calculateWithWeights(trainingRaw, "w3");
+                    getMaxValue(inspectionData, CheckEfficiencyRankDto::getPassRate))));
 
             // 计算总分
-            normalized.totalScore = normalized.seizureEfficiency
-                    .add(normalized.inspectionPassRate)
-                    .add(normalized.trainingScore);
+            normalized.totalScore = calculateWithWeights(normalized.seizureEfficiency, "w1")
+                    .add(calculateWithWeights(normalized.inspectionPassRate, "w2"))
+                    .add(calculateWithWeights(trainingRaw, "w3"));
+
+            normalized.trainingScore = trainingRaw.multiply(new BigDecimal(100));
+            normalized.seizureEfficiency = normalized.seizureEfficiency.multiply(new BigDecimal(100));
+            normalized.inspectionPassRate = normalized.inspectionPassRate.multiply(new BigDecimal(100));
 
             results.add(normalized);
         }
@@ -1559,7 +1555,7 @@ public class PerformanceDimensionController {
                 .orElse(BigDecimal.ONE);
     }
 
-    private BigDecimal normalizeValue(BigDecimal rawValue, BigDecimal minValue, BigDecimal maxValue, String w) {
+    private BigDecimal normalizeValue(BigDecimal rawValue, BigDecimal minValue, BigDecimal maxValue) {
         if (rawValue == null) rawValue = BigDecimal.ZERO;
         BigDecimal range = maxValue.subtract(minValue);
         if (range.compareTo(BigDecimal.ZERO) == 0) {
@@ -1571,7 +1567,7 @@ public class PerformanceDimensionController {
         BigDecimal divide = rawValue.subtract(minValue)
                 .divide(range, 2, RoundingMode.HALF_UP);
 
-        return calculateWithWeights(divide, w);
+        return divide;
     }
 
 
@@ -1580,7 +1576,7 @@ public class PerformanceDimensionController {
      */
     private BigDecimal calculateWithWeights(BigDecimal value, String w) {
         BigDecimal bigDecimal = value != null ? value : BigDecimal.ZERO;
-        GeometricMeanUtils.CalculationResult calculationResult = GeometricMeanUtils.calculateWithWeights(a, b, c);
+        GeometricMeanUtils.CalculationResult calculationResult = GeometricMeanUtils.calculateWithWeights();
         double d = 0;
         if ("w1".equals(w)) {
             d = calculationResult.getW1();
@@ -1607,16 +1603,6 @@ public class PerformanceDimensionController {
     }
 
     /**
-     * 按月统计数据内部类
-     */
-    private static class MonthlyData {
-        String name;
-        List<BigDecimal> monthlyValues;
-        BigDecimal totalValue;
-        BigDecimal progressValue; // 进步值 = 最后一个月 - 第一个月
-    }
-
-    /**
      * 获取所有安检员用户ID
      */
     private List<Long> getAllInspectorUserIds() {

airport-admin/src/main/java/com/sundot/airport/web/controller/item/PerformanceIndicatorsController.java

@@ -0,0 +1,291 @@
+package com.sundot.airport.web.controller.item;
+
+import cn.hutool.core.collection.CollectionUtil;
+import cn.hutool.core.date.DateUtil;
+import com.sundot.airport.common.core.controller.BaseController;
+import com.sundot.airport.common.core.domain.AjaxResult;
+import com.sundot.airport.common.dto.*;
+import com.sundot.airport.common.utils.GeometricMeanUtils;
+import com.sundot.airport.common.utils.poi.ExcelUtil;
+import com.sundot.airport.system.domain.SysConfig;
+import com.sundot.airport.system.service.ISysConfigService;
+import io.swagger.annotations.Api;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.*;
+
+import javax.servlet.http.HttpServletResponse;
+import java.math.BigDecimal;
+import java.util.*;
+import java.util.stream.Collectors;
+
+/**
+ * 绩效指标管理 Controller
+ *
+ * @author sundot
+ * @date 2026-03-16
+ */
+@Slf4j
+@RestController
+@RequestMapping("/item/indicators")
+@Api(tags = "绩效指标管理")
+public class PerformanceIndicatorsController extends BaseController {
+
+    @Autowired
+    private ISysConfigService configService;
+
+    @Autowired
+    private PerformanceMetricsController performanceMetricsController;
+
+
+    // 绩效矩阵参数的配置键名
+    private static final String CONFIG_KEY_PARAM_A = "item.performance.matrix.param_a";
+    private static final String CONFIG_KEY_PARAM_B = "item.performance.matrix.param_b";
+    private static final String CONFIG_KEY_PARAM_C = "item.performance.matrix.param_c";
+
+
+    /**
+     * 保存绩效矩阵
+     * 保存前端传入的绩效矩阵参数 a、b、c
+     * 默认值 a=3, b=5, c=2
+     *
+     * @param a
+     * @param b
+     * @param c
+     * @return 保存结果
+     */
+    @GetMapping("/matrix/add")
+    public AjaxResult performanceMatrix(
+            @RequestParam(value = "a", defaultValue = "3") BigDecimal a,
+            @RequestParam(value = "b", defaultValue = "5") BigDecimal b,
+            @RequestParam(value = "c", defaultValue = "2") BigDecimal c) {
+
+        try {
+            // 保存到 sys_config 表
+            saveConfig(CONFIG_KEY_PARAM_A, "绩效矩阵参数 a", a.toString());
+            saveConfig(CONFIG_KEY_PARAM_B, "绩效矩阵参数 b", b.toString());
+            saveConfig(CONFIG_KEY_PARAM_C, "绩效矩阵参数 c", c.toString());
+
+            // 同步更新到 GeometricMeanUtils
+            GeometricMeanUtils.setParams(a.doubleValue(), b.doubleValue(), c.doubleValue());
+
+            return success("保存成功");
+        } catch (Exception e) {
+            log.error("保存绩效矩阵参数失败：{}", e.getMessage());
+            return error("保存失败：" + e.getMessage());
+        }
+    }
+
+    /**
+     * 获取绩效矩阵参数配置
+     *
+     * @return 绩效矩阵参数配置
+     */
+    @GetMapping("/matrix/config")
+    public AjaxResult getMatrixConfig() {
+        try {
+            String paramA = configService.selectConfigByKey(CONFIG_KEY_PARAM_A);
+            String paramB = configService.selectConfigByKey(CONFIG_KEY_PARAM_B);
+            String paramC = configService.selectConfigByKey(CONFIG_KEY_PARAM_C);
+
+            // 如果不存在，返回默认值
+            if (paramA == null || paramA.isEmpty()) paramA = "3";
+            if (paramB == null || paramB.isEmpty()) paramB = "5";
+            if (paramC == null || paramC.isEmpty()) paramC = "2";
+
+            Map<String, Object> result = new HashMap<>();
+            result.put("paramA", new BigDecimal(paramA));
+            result.put("paramB", new BigDecimal(paramB));
+            result.put("paramC", new BigDecimal(paramC));
+
+            return success(result);
+        } catch (Exception e) {
+            log.error("获取绩效矩阵参数失败：{}", e.getMessage());
+            return error("获取失败：" + e.getMessage());
+        }
+    }
+
+    /**
+     * 绩效查询
+     * 调用现有的 /metrics 接口获取绩效数据
+     *
+     * @param param 查询参数
+     * @return 绩效数据列表
+     */
+    @GetMapping("/query")
+    public AjaxResult queryPerformance(PerformanceMetricsParamDto param) {
+        try {
+            // 设置默认值
+            if (param.getDimension() == null) {
+                param.setDimension(4); // 默认查询大队
+            }
+            if (param.getSortOrder() == null) {
+                param.setSortOrder(2); // 默认降序
+            }
+
+            return performanceMetricsController.getPerformanceMetrics(param);
+        } catch (Exception e) {
+            log.error("绩效查询失败：{}", e.getMessage());
+            return AjaxResult.error("查询失败：" + e.getMessage());
+        }
+    }
+
+
+    /**
+     * 导出绩效数据
+     * 根据维度不同导出不同的内容
+     *
+     * @param response HTTP 响应
+     * @param param    查询参数
+     */
+    @GetMapping("/export")
+    public void exportPerformance(HttpServletResponse response, PerformanceMetricsParamDto param) {
+        // 设置默认值
+        if (param.getDimension() == null) {
+            param.setDimension(4); // 默认查询大队
+        }
+        if (param.getSortOrder() == null) {
+            param.setSortOrder(2); // 默认降序
+        }
+
+        // 查询绩效数据
+        AjaxResult result = performanceMetricsController.getPerformanceMetrics(param);
+        List<PerformanceMetricsResultDto> dataList = (List<PerformanceMetricsResultDto>) result.get("data");
+
+        String fileName = "绩效数据";
+
+        // 根据维度转换数据
+        if (param.getDimension() == 1) {
+            // 人员维度 - 导出个人绩效（包含姓名、班组名、科室名、大队名）
+            List<PerformanceMetricsPersonalExportDto> exportList = convertToPersonalExportList(dataList, param.getStartTime(), param.getEndTime());
+            ExcelUtil<PerformanceMetricsPersonalExportDto> util = new ExcelUtil<>(PerformanceMetricsPersonalExportDto.class);
+            util.exportExcel(response, exportList, fileName);
+        } else if (param.getDimension() == 2) {
+            // 班组维度 - 导出班组绩效（包含班组名、科室名、大队名）
+            List<PerformanceMetricsTeamExportDto> exportList = convertToTeamExportList(dataList, param.getStartTime(), param.getEndTime());
+            ExcelUtil<PerformanceMetricsTeamExportDto> util = new ExcelUtil<>(PerformanceMetricsTeamExportDto.class);
+            util.exportExcel(response, exportList, fileName);
+        } else if (param.getDimension() == 3) {
+            // 科室维度 - 导出科室绩效（包含科室名、大队名）
+            List<PerformanceMetricsDeptExportDto> exportList = convertToDeptExportList(dataList, param.getStartTime(), param.getEndTime());
+            ExcelUtil<PerformanceMetricsDeptExportDto> util = new ExcelUtil<>(PerformanceMetricsDeptExportDto.class);
+            util.exportExcel(response, exportList, fileName);
+        } else if (param.getDimension() == 4) {
+            // 大队维度 - 导出大队绩效（仅大队名）
+            List<PerformanceMetricsBrigadeExportDto> exportList = convertToBrigadeExportList(dataList, param.getStartTime(), param.getEndTime());
+            ExcelUtil<PerformanceMetricsBrigadeExportDto> util = new ExcelUtil<>(PerformanceMetricsBrigadeExportDto.class);
+            util.exportExcel(response, exportList, fileName);
+        }
+    }
+
+    /**
+     * 转换为人员导出 DTO 列表
+     */
+    private List<PerformanceMetricsPersonalExportDto> convertToPersonalExportList(List<PerformanceMetricsResultDto> dataList, Date startTime, Date endTime) {
+        return dataList.stream()
+                .map(item -> {
+                    PerformanceMetricsPersonalExportDto dto = new PerformanceMetricsPersonalExportDto();
+                    dto.setName(item.getName());
+                    dto.setClassName(item.getClassName());
+                    dto.setDeptName(item.getDeptName());
+                    dto.setBrigadeName(item.getBrigadeName());
+                    dto.setSeizureEfficiency(item.getSeizureEfficiency());
+                    dto.setInspectionPassRate(item.getInspectionPassRate());
+                    dto.setTrainingScore(item.getTrainingScore());
+                    dto.setTotalScore(item.getTotalScore());
+                    dto.setStartTime(DateUtil.format(startTime, "yyyy-MM-dd"));
+                    dto.setEndTime(DateUtil.format(endTime, "yyyy-MM-dd"));
+                    return dto;
+                })
+                .collect(Collectors.toList());
+    }
+
+    /**
+     * 转换为班组导出 DTO 列表
+     */
+    private List<PerformanceMetricsTeamExportDto> convertToTeamExportList(List<PerformanceMetricsResultDto> dataList, Date startTime, Date endTime) {
+        return dataList.stream()
+                .map(item -> {
+                    PerformanceMetricsTeamExportDto dto = new PerformanceMetricsTeamExportDto();
+                    dto.setName(item.getName());
+                    dto.setDeptName(item.getDeptName());
+                    dto.setBrigadeName(item.getBrigadeName());
+                    dto.setSeizureEfficiency(item.getSeizureEfficiency());
+                    dto.setInspectionPassRate(item.getInspectionPassRate());
+                    dto.setTrainingScore(item.getTrainingScore());
+                    dto.setTotalScore(item.getTotalScore());
+                    dto.setStartTime(DateUtil.format(startTime, "yyyy-MM-dd"));
+                    dto.setEndTime(DateUtil.format(endTime, "yyyy-MM-dd"));
+                    return dto;
+                })
+                .collect(Collectors.toList());
+    }
+
+    /**
+     * 转换为科室导出 DTO 列表
+     */
+    private List<PerformanceMetricsDeptExportDto> convertToDeptExportList(List<PerformanceMetricsResultDto> dataList, Date startTime, Date endTime) {
+        return dataList.stream()
+                .map(item -> {
+                    PerformanceMetricsDeptExportDto dto = new PerformanceMetricsDeptExportDto();
+                    dto.setName(item.getName());
+                    dto.setBrigadeName(item.getBrigadeName());
+                    dto.setSeizureEfficiency(item.getSeizureEfficiency());
+                    dto.setInspectionPassRate(item.getInspectionPassRate());
+                    dto.setTrainingScore(item.getTrainingScore());
+                    dto.setTotalScore(item.getTotalScore());
+                    dto.setStartTime(DateUtil.format(startTime, "yyyy-MM-dd"));
+                    dto.setEndTime(DateUtil.format(endTime, "yyyy-MM-dd"));
+                    return dto;
+                })
+                .collect(Collectors.toList());
+    }
+
+    /**
+     * 转换为大队导出 DTO 列表
+     */
+    private List<PerformanceMetricsBrigadeExportDto> convertToBrigadeExportList(List<PerformanceMetricsResultDto> dataList, Date startTime, Date endTime) {
+        return dataList.stream()
+                .map(item -> {
+                    PerformanceMetricsBrigadeExportDto dto = new PerformanceMetricsBrigadeExportDto();
+                    dto.setName(item.getName());
+                    dto.setSeizureEfficiency(item.getSeizureEfficiency());
+                    dto.setInspectionPassRate(item.getInspectionPassRate());
+                    dto.setTrainingScore(item.getTrainingScore());
+                    dto.setTotalScore(item.getTotalScore());
+                    dto.setStartTime(DateUtil.format(startTime, "yyyy-MM-dd"));
+                    dto.setEndTime(DateUtil.format(endTime, "yyyy-MM-dd"));
+                    return dto;
+                })
+                .collect(Collectors.toList());
+    }
+
+
+    /**
+     * 保存配置到 sys_config 表
+     */
+    private void saveConfig(String configKey, String configName, String configValue) {
+        try {
+            SysConfig queryConfig = new SysConfig();
+            queryConfig.setConfigKey(configKey);
+            List<SysConfig> configList = configService.selectConfigList(queryConfig);
+            if (CollectionUtil.isNotEmpty(configList)) {
+                SysConfig config = configList.get(0);
+                config.setConfigValue(configValue);
+                configService.updateConfig(config);
+            } else {
+                // 新增配置
+                SysConfig config = new SysConfig();
+                config.setConfigName(configName);
+                config.setConfigKey(configKey);
+                config.setConfigValue(configValue);
+                config.setConfigType("N"); // 非系统内置
+                configService.insertConfig(config);
+            }
+        } catch (Exception e) {
+            log.error("保存配置失败：{}", e.getMessage());
+            throw e;
+        }
+    }
+
+}

airport-admin/src/main/java/com/sundot/airport/web/controller/item/PerformanceMetricsController.java

@@ -1,5 +1,6 @@
 package com.sundot.airport.web.controller.item;
 
+import cn.hutool.core.collection.CollectionUtil;
 import com.sundot.airport.check.domain.CheckEfficiencyDto;
 import com.sundot.airport.check.domain.CheckEfficiencyRankDto;
 import com.sundot.airport.check.service.ICheckEfficiencyService;
@@ -79,12 +80,6 @@ public class PerformanceMetricsController {
     @Autowired
     private ItemLargeScreenMapper itemLargeScreenMapper;
 
-    //先写死，后期可能会变
-    private static final double a = 3;
-    private static final double b = 5;
-    private static final double c = 2;
-
-
     /**
      * 查询查获效率统计
      */
@@ -247,8 +242,8 @@ public class PerformanceMetricsController {
      * 填充科室和班级信息
      */
     private void enrichDeptAndClassInfo(List<PerformanceMetricsResultDto> result, PerformanceMetricsParamDto param) {
-        // 只处理人员维度和班组维度
-        if (param.getDimension() == null || param.getDimension() == 3) {
+        // 只处理人员维度和班组维度和科室维度
+        if (param.getDimension() == null || param.getDimension() == 4) {
             return;
         }
 
@@ -421,8 +416,38 @@ public class PerformanceMetricsController {
         if (topSiteId == null) {
             throw new ServiceException("无法找到有效的站点信息");
         }
+
+        // 根据大队 ID 筛选
+        if (param.getBrigadeId() != null) {
+            topSiteId = param.getBrigadeId();
+        }
+
+        // 根据科室 ID 筛选
+        if (param.getDeptId() != null) {
+            topSiteId = param.getDeptId();
+        }
+
+        // 根据班组 ID 筛选
+        if (param.getTeamId() != null) {
+            topSiteId = param.getTeamId();
+        }
+
         List<SysUser> sysUserTempList = userMapper.selectUserByDeptId(topSiteId);
-        List<SysUser> users = sysUserTempList.stream().filter(item -> item.getRoles().stream().anyMatch(sysRole -> RoleTypeEnum.banzuzhang.getCode().equals(sysRole.getRoleKey()) || RoleTypeEnum.SecurityCheck.getCode().equals(sysRole.getRoleKey()))).collect(Collectors.toList());
+        List<SysUser> users = sysUserTempList.stream()
+                .filter(item -> item.getRoles().stream()
+                        .anyMatch(sysRole -> RoleTypeEnum.banzuzhang.getCode().equals(sysRole.getRoleKey())
+                                || RoleTypeEnum.SecurityCheck.getCode().equals(sysRole.getRoleKey())))
+                .collect(Collectors.toList());
+
+        if (users.isEmpty()) return result;
+
+        // 根据姓名模糊筛选
+        if (StringUtils.isNotEmpty(param.getUserName())) {
+            users = users.stream()
+                    .filter(user -> user.getNickName() != null
+                            && user.getNickName().contains(param.getUserName()))
+                    .collect(Collectors.toList());
+        }
 
         if (users.isEmpty()) return result;
 
@@ -464,10 +489,28 @@ public class PerformanceMetricsController {
         List<PerformanceMetricsResultDto> result = new ArrayList<>();
         // 查询所有班组
         Long topSiteId = DeptUtils.getTopSiteId(deptMapper.selectDeptById(getDeptId()));
+
+        // 根据大队 ID 筛选
+        if (param.getBrigadeId() != null) {
+            topSiteId = param.getBrigadeId();
+        }
+
+        // 根据科室 ID 筛选
+        if (param.getDeptId() != null) {
+            topSiteId = param.getDeptId();
+        }
+
         List<SysDept> teams = sysDeptService.selectChildrenDeptById(topSiteId).stream()
                 .filter(dept -> DeptTypeEnum.TEAMS.getCode().equals(dept.getDeptType()))
                 .collect(Collectors.toList());
 
+        // 根据班组 ID 筛选
+        if (param.getTeamId() != null && CollectionUtil.isNotEmpty(teams)) {
+            teams = teams.stream()
+                    .filter(item -> param.getTeamId().equals(item.getDeptId()))
+                    .collect(Collectors.toList());
+        }
+
         if (teams.isEmpty()) return result;
 
         //查获效率
@@ -509,10 +552,23 @@ public class PerformanceMetricsController {
 
         // 查询所有科室
         Long topSiteId = DeptUtils.getTopSiteId(deptMapper.selectDeptById(getDeptId()));
+
+        // 根据大队 ID 筛选
+        if (param.getBrigadeId() != null) {
+            topSiteId = param.getBrigadeId();
+        }
+
         List<SysDept> departments = sysDeptService.selectChildrenDeptById(topSiteId).stream()
                 .filter(dept -> DeptTypeEnum.MANAGER.getCode().equals(dept.getDeptType()))
                 .collect(Collectors.toList());
 
+        // 根据科室 ID 筛选
+        if (param.getDeptId() != null && CollectionUtil.isNotEmpty(departments)) {
+            departments = departments.stream()
+                    .filter(item -> param.getDeptId().equals(item.getDeptId()))
+                    .collect(Collectors.toList());
+        }
+
         if (departments.isEmpty()) return result;
 
         //查获效率
@@ -558,6 +614,13 @@ public class PerformanceMetricsController {
                 .filter(dept -> DeptTypeEnum.BRIGADE.getCode().equals(dept.getDeptType()))
                 .collect(Collectors.toList());
 
+        // 根据大队 ID 筛选
+        if (param.getBrigadeId() != null && CollectionUtil.isNotEmpty(brigades)) {
+            brigades = brigades.stream()
+                    .filter(item -> param.getBrigadeId().equals(item.getDeptId()))
+                    .collect(Collectors.toList());
+        }
+
         if (brigades.isEmpty()) return result;
 
         //查获效率
@@ -605,13 +668,13 @@ public class PerformanceMetricsController {
             NormalizedData normalized = new NormalizedData();
             normalized.id = data.id;
             normalized.name = data.name;
-            normalized.seizureEfficiency = normalizeValue(data.seizureEfficiency, "w1");
-            normalized.inspectionPassRate = normalizeValue(data.inspectionPassRate, "w2");
-            normalized.trainingScore = normalizeValue(data.trainingScore, "w3");
+            normalized.seizureEfficiency = data.seizureEfficiency.multiply(new BigDecimal(100));
+            normalized.inspectionPassRate = data.inspectionPassRate.multiply(new BigDecimal(100));
+            normalized.trainingScore = data.trainingScore.multiply(new BigDecimal(100));
             // 总分 = 查获效率 + 巡检合格率 + 抽问抽答正确率
-            normalized.totalScore = normalized.seizureEfficiency
-                    .add(normalized.inspectionPassRate)
-                    .add(normalized.trainingScore);
+            normalized.totalScore = normalizeValue(data.seizureEfficiency, "w1")
+                    .add(normalizeValue(data.inspectionPassRate, "w2"))
+                    .add(normalizeValue(data.trainingScore, "w3"));
             normalizedList.add(normalized);
         }
 
@@ -635,7 +698,7 @@ public class PerformanceMetricsController {
      */
     private BigDecimal normalizeValue(BigDecimal value, String w) {
         BigDecimal bigDecimal = value != null ? value : BigDecimal.ZERO;
-        GeometricMeanUtils.CalculationResult calculationResult = GeometricMeanUtils.calculateWithWeights(a, b, c);
+        GeometricMeanUtils.CalculationResult calculationResult = GeometricMeanUtils.calculateWithWeights();
         double d = 0;
         if ("w1".equals(w)) {
             d = calculationResult.getW1();
@@ -699,6 +762,7 @@ public class PerformanceMetricsController {
         BigDecimal max = rankList.stream().map(rank -> rank.getEfficiency() == null ? BigDecimal.ZERO : rank.getEfficiency()).max(BigDecimal::compareTo).orElse(BigDecimal.ZERO);
         BigDecimal difference = max.subtract(min);
         BigDecimal normalized = difference.compareTo(BigDecimal.ZERO) == 0 ? BigDecimal.ZERO : reduce.subtract(min).divide(difference, 2, RoundingMode.HALF_UP);
+        normalized = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalized));
         return normalized;
     }
 
@@ -715,6 +779,7 @@ public class PerformanceMetricsController {
         BigDecimal max = rankList.stream().map(rank -> rank.getPassRate() == null ? BigDecimal.ZERO : rank.getPassRate()).max(BigDecimal::compareTo).orElse(BigDecimal.ZERO);
         BigDecimal difference = max.subtract(min);
         BigDecimal normalized = difference.compareTo(BigDecimal.ZERO) == 0 ? BigDecimal.ZERO : reduce.subtract(min).divide(difference, 2, RoundingMode.HALF_UP);
+        normalized = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalized));
         return normalized;
     }
 
@@ -723,7 +788,7 @@ public class PerformanceMetricsController {
      * 归一化公式：(当前值 - min) / (max - min)
      */
     private BigDecimal queryPersonalTrainingScore(Long userId, Map<Long, BigDecimal> accuracyMap) {
-        return normalizeFromMap(userId, accuracyMap);
+        return new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeFromMap(userId, accuracyMap)));
     }
 
     /**
@@ -736,6 +801,7 @@ public class PerformanceMetricsController {
         BigDecimal max = rankList.stream().map(rank -> rank.getEfficiency() == null ? BigDecimal.ZERO : rank.getEfficiency()).max(BigDecimal::compareTo).orElse(BigDecimal.ZERO);
         BigDecimal difference = max.subtract(min);
         BigDecimal normalized = difference.compareTo(BigDecimal.ZERO) == 0 ? BigDecimal.ZERO : reduce.subtract(min).divide(difference, 2, RoundingMode.HALF_UP);
+        normalized = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalized));
         return normalized;
     }
 
@@ -748,6 +814,7 @@ public class PerformanceMetricsController {
         BigDecimal max = rankList.stream().map(rank -> rank.getPassRate() == null ? BigDecimal.ZERO : rank.getPassRate()).max(BigDecimal::compareTo).orElse(BigDecimal.ZERO);
         BigDecimal difference = max.subtract(min);
         BigDecimal normalized = difference.compareTo(BigDecimal.ZERO) == 0 ? BigDecimal.ZERO : reduce.subtract(min).divide(difference, 2, RoundingMode.HALF_UP);
+        normalized = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalized));
         return normalized;
     }
 
@@ -756,7 +823,7 @@ public class PerformanceMetricsController {
      * 归一化公式：(当前值 - min) / (max - min)
      */
     private BigDecimal queryTeamTrainingScore(Long teamId, Map<Long, BigDecimal> accuracyMap) {
-        return normalizeFromMap(teamId, accuracyMap);
+        return new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeFromMap(teamId, accuracyMap)));
     }
 
     /**
@@ -769,6 +836,7 @@ public class PerformanceMetricsController {
         BigDecimal max = rankList.stream().map(rank -> rank.getEfficiency() == null ? BigDecimal.ZERO : rank.getEfficiency()).max(BigDecimal::compareTo).orElse(BigDecimal.ZERO);
         BigDecimal difference = max.subtract(min);
         BigDecimal normalized = difference.compareTo(BigDecimal.ZERO) == 0 ? BigDecimal.ZERO : reduce.subtract(min).divide(difference, 2, RoundingMode.HALF_UP);
+        normalized = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalized));
         return normalized;
     }
 
@@ -781,6 +849,7 @@ public class PerformanceMetricsController {
         BigDecimal max = rankList.stream().map(rank -> rank.getPassRate() == null ? BigDecimal.ZERO : rank.getPassRate()).max(BigDecimal::compareTo).orElse(BigDecimal.ZERO);
         BigDecimal difference = max.subtract(min);
         BigDecimal normalized = difference.compareTo(BigDecimal.ZERO) == 0 ? BigDecimal.ZERO : reduce.subtract(min).divide(difference, 2, RoundingMode.HALF_UP);
+        normalized = new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalized));
         return normalized;
     }
 
@@ -789,7 +858,7 @@ public class PerformanceMetricsController {
      * 归一化公式：(当前值 - min) / (max - min)
      */
     private BigDecimal queryDepartmentTrainingScore(Long deptId, Map<Long, BigDecimal> accuracyMap) {
-        return normalizeFromMap(deptId, accuracyMap);
+        return new BigDecimal("0.8").add(new BigDecimal("0.2").multiply(normalizeFromMap(deptId, accuracyMap)));
     }
 
     /**

airport-admin/src/main/java/com/sundot/airport/web/controller/portrait/UserBasicPortraitController.java

@@ -118,32 +118,4 @@ public class UserBasicPortraitController extends BaseController {
         }
     }
 
-    /**
-     * 根据用户查找其所属的站点ID
-     *
-     * @param user 用户
-     * @return 站点ID
-     */
-    private Long findStationIdByUser(SysUser user) {
-        // 获取用户所在部门
-        SysDept userDept = user.getDept();
-        if (userDept == null) {
-            return null;
-        }
-
-        // 如果用户所在部门就是站点
-        if (DeptTypeEnum.STATION.getCode().equals(userDept.getDeptType())) {
-            return userDept.getDeptId();
-        }
-
-        // 向上查找父级部门，直到找到站点
-        SysDept currentDept = userDept;
-        while (currentDept != null && !DeptTypeEnum.STATION.getCode().equals(currentDept.getDeptType())) {
-            currentDept = sysDeptService.selectDeptById(currentDept.getParentId());
-        }
-
-        return currentDept != null ? currentDept.getDeptId() : null;
-    }
-
-
 }

airport-common/src/main/java/com/sundot/airport/common/dto/PerformanceMetricsBrigadeExportDto.java

@@ -0,0 +1,51 @@
+package com.sundot.airport.common.dto;
+
+import com.fasterxml.jackson.annotation.JsonFormat;
+import com.sundot.airport.common.annotation.Excel;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.math.BigDecimal;
+
+/**
+ * 绩效指标导出 DTO - 大队维度
+ * 显示：排名、大队名称、总分、查获效率、巡检合格率、培训得分
+ * （不显示班级名称、科室名称、大队名称重复字段）
+ *
+ * @author wangxx
+ * @date 2026-03-16
+ */
+@Data
+@ApiModel("绩效指标导出 DTO - 大队维度")
+public class PerformanceMetricsBrigadeExportDto {
+    @Excel(name = "大队名称", sort = 1)
+    @ApiModelProperty("大队名称")
+    private String name;
+
+    @Excel(name = "总分", sort = 2)
+    @ApiModelProperty("总分")
+    private BigDecimal totalScore;
+
+    @Excel(name = "查获效率", sort = 3)
+    @ApiModelProperty("查获效率")
+    private BigDecimal seizureEfficiency;
+
+    @Excel(name = "巡检合格率", sort = 4)
+    @ApiModelProperty("巡检合格率")
+    private BigDecimal inspectionPassRate;
+
+    @Excel(name = "抽问抽答正确率", sort = 5)
+    @ApiModelProperty("抽问抽答正确率")
+    private BigDecimal trainingScore;
+
+    @Excel(name = "开始时间", sort = 6)
+    @ApiModelProperty("开始时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String startTime;
+
+    @Excel(name = "结束时间", sort = 7)
+    @ApiModelProperty("结束时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String endTime;
+}

airport-common/src/main/java/com/sundot/airport/common/dto/PerformanceMetricsDeptExportDto.java

@@ -0,0 +1,55 @@
+package com.sundot.airport.common.dto;
+
+import com.fasterxml.jackson.annotation.JsonFormat;
+import com.sundot.airport.common.annotation.Excel;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.math.BigDecimal;
+
+/**
+ * 绩效指标导出 DTO - 科室维度
+ * 显示：排名、科室名称、大队名称、总分、查获效率、巡检合格率、培训得分
+ * （不显示班级名称、科室名称重复字段）
+ *
+ * @author wangxx
+ * @date 2026-03-16
+ */
+@Data
+@ApiModel("绩效指标导出 DTO - 科室维度")
+public class PerformanceMetricsDeptExportDto {
+    @Excel(name = "大队名称", sort = 1)
+    @ApiModelProperty("大队名称")
+    private String brigadeName;
+
+    @Excel(name = "科室名称", sort = 2)
+    @ApiModelProperty("科室名称")
+    private String name;
+
+    @Excel(name = "总分", sort = 3)
+    @ApiModelProperty("总分")
+    private BigDecimal totalScore;
+
+    @Excel(name = "查获效率", sort = 4)
+    @ApiModelProperty("查获效率")
+    private BigDecimal seizureEfficiency;
+
+    @Excel(name = "巡检合格率", sort = 5)
+    @ApiModelProperty("巡检合格率")
+    private BigDecimal inspectionPassRate;
+
+    @Excel(name = "抽问抽答正确率", sort = 6)
+    @ApiModelProperty("抽问抽答正确率")
+    private BigDecimal trainingScore;
+
+    @Excel(name = "开始时间", sort = 7)
+    @ApiModelProperty("开始时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String startTime;
+
+    @Excel(name = "结束时间", sort = 8)
+    @ApiModelProperty("结束时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String endTime;
+}

airport-common/src/main/java/com/sundot/airport/common/dto/PerformanceMetricsParamDto.java

@@ -36,4 +36,16 @@ public class PerformanceMetricsParamDto {
     @JsonFormat(pattern = "yyyy-MM-dd")
     @DateTimeFormat(pattern = "yyyy-MM-dd")
     private Date endTime;
+
+    @ApiModelProperty("大队ID(维度为 1/2/3/4 时使用)")
+    private Long brigadeId;
+
+    @ApiModelProperty("科室ID(维度为 1/2/3 时使用)")
+    private Long deptId;
+
+    @ApiModelProperty("班组ID(维度为 1/2 时使用)")
+    private Long teamId;
+
+    @ApiModelProperty("姓名 (维度为 1 时使用)")
+    private String userName;
 }

airport-common/src/main/java/com/sundot/airport/common/dto/PerformanceMetricsPersonalExportDto.java

@@ -0,0 +1,62 @@
+package com.sundot.airport.common.dto;
+
+import com.fasterxml.jackson.annotation.JsonFormat;
+import com.sundot.airport.common.annotation.Excel;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.math.BigDecimal;
+
+/**
+ * 绩效指标导出 DTO - 人员维度
+ * 显示：排名、姓名、班级名称、科室名称、大队名称、总分、查获效率、巡检合格率、培训得分
+ *
+ * @author wangxx
+ * @date 2026-03-16
+ */
+@Data
+@ApiModel("绩效指标导出 DTO - 人员维度")
+public class PerformanceMetricsPersonalExportDto {
+    @Excel(name = "大队名称", sort = 1)
+    @ApiModelProperty("大队名称")
+    private String brigadeName;
+
+    @Excel(name = "科室名称", sort = 2)
+    @ApiModelProperty("科室名称")
+    private String deptName;
+
+    @Excel(name = "班级名称", sort = 3)
+    @ApiModelProperty("班级名称")
+    private String className;
+
+    @Excel(name = "姓名", sort = 4)
+    @ApiModelProperty("姓名")
+    private String name;
+
+    @Excel(name = "总分", sort = 5)
+    @ApiModelProperty("总分")
+    private BigDecimal totalScore;
+
+    @Excel(name = "查获效率", sort = 6)
+    @ApiModelProperty("查获效率")
+    private BigDecimal seizureEfficiency;
+
+    @Excel(name = "巡检合格率", sort = 7)
+    @ApiModelProperty("巡检合格率")
+    private BigDecimal inspectionPassRate;
+
+    @Excel(name = "抽问抽答正确率", sort = 8)
+    @ApiModelProperty("抽问抽答正确率")
+    private BigDecimal trainingScore;
+
+    @Excel(name = "开始时间", sort = 9)
+    @ApiModelProperty("开始时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String startTime;
+
+    @Excel(name = "结束时间", sort = 10)
+    @ApiModelProperty("结束时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String endTime;
+}

airport-common/src/main/java/com/sundot/airport/common/dto/PerformanceMetricsTeamExportDto.java

@@ -0,0 +1,59 @@
+package com.sundot.airport.common.dto;
+
+import com.fasterxml.jackson.annotation.JsonFormat;
+import com.sundot.airport.common.annotation.Excel;
+import io.swagger.annotations.ApiModel;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+
+import java.math.BigDecimal;
+
+/**
+ * 绩效指标导出 DTO - 班组维度
+ * 显示：排名、班组名称、科室名称、大队名称、总分、查获效率、巡检合格率、培训得分
+ * （不显示班级名称）
+ *
+ * @author wangxx
+ * @date 2026-03-16
+ */
+@Data
+@ApiModel("绩效指标导出 DTO - 班组维度")
+public class PerformanceMetricsTeamExportDto {
+    @Excel(name = "大队名称", sort = 1)
+    @ApiModelProperty("大队名称")
+    private String brigadeName;
+
+    @Excel(name = "科室名称", sort = 2)
+    @ApiModelProperty("科室名称")
+    private String deptName;
+
+    @Excel(name = "班组名称", sort = 3)
+    @ApiModelProperty("班组名称")
+    private String name;
+
+    @Excel(name = "总分", sort = 4)
+    @ApiModelProperty("总分")
+    private BigDecimal totalScore;
+
+    @Excel(name = "查获效率", sort = 5)
+    @ApiModelProperty("查获效率")
+    private BigDecimal seizureEfficiency;
+
+    @Excel(name = "巡检合格率", sort = 6)
+    @ApiModelProperty("巡检合格率")
+    private BigDecimal inspectionPassRate;
+
+    @Excel(name = "抽问抽答正确率", sort = 7)
+    @ApiModelProperty("抽问抽答正确率")
+    private BigDecimal trainingScore;
+
+    @Excel(name = "开始时间", sort = 8)
+    @ApiModelProperty("开始时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String startTime;
+
+    @Excel(name = "结束时间", sort = 9)
+    @ApiModelProperty("结束时间")
+    @JsonFormat(pattern = "yyyy-MM-dd")
+    private String endTime;
+}

airport-common/src/main/java/com/sundot/airport/common/utils/GeometricMeanUtils.java

@@ -1,5 +1,7 @@
 package com.sundot.airport.common.utils;
 
+import java.util.concurrent.atomic.AtomicReference;
+
 /**
  * 几何平均数计算工具类
  * - g1 = ∛(1 × a × b)
@@ -8,14 +10,83 @@ package com.sundot.airport.common.utils;
  */
 public class GeometricMeanUtils {
 
+
+    private static final AtomicReference<WeightParams> currentParams = new AtomicReference<>(
+            new WeightParams(3.0, 5.0, 2.0) // 默认值 a=3, b=5, c=2
+    );
+
+    /**
+     * 权重参数内部类
+     */
+    private static class WeightParams {
+        final double a;
+        final double b;
+        final double c;
+
+        WeightParams(double a, double b, double c) {
+            this.a = a;
+            this.b = b;
+            this.c = c;
+        }
+    }
+
+    /**
+     * 设置权重参数（线程安全）
+     *
+     * @param a 参数 a
+     * @param b 参数 b
+     * @param c 参数 c
+     */
+    public static void setParams(double a, double b, double c) {
+        currentParams.set(new WeightParams(a, b, c));
+    }
+
+    /**
+     * 获取当前参数 a
+     *
+     * @return 参数 a
+     */
+    public static double getParamA() {
+        return currentParams.get().a;
+    }
+
+    /**
+     * 获取当前参数 b
+     *
+     * @return 参数 b
+     */
+    public static double getParamB() {
+        return currentParams.get().b;
+    }
+
+    /**
+     * 获取当前参数 c
+     *
+     * @return 参数 c
+     */
+    public static double getParamC() {
+        return currentParams.get().c;
+    }
+
+    /**
+     * 计算几何平均数总和（使用当前配置的参数）
+     *
+     * @return 总和值
+     */
+    public static double calculateSum() {
+        WeightParams params = currentParams.get();
+        return calculateSum(params.a, params.b, params.c);
+    }
+
     /**
      * 计算几何平均数总和
      *
-     * @param a 变量a
-     * @param b 变量b
-     * @param c 变量c
+     * @param a 变量 a
+     * @param b 变量 b
+     * @param c 变量 c
      * @return 总和值
      */
+    @Deprecated
     public static double calculateSum(double a, double b, double c) {
         double g1 = Math.cbrt(1.0 * a * b);
         double g2 = Math.cbrt((1.0 / a) * 1.0 * c);
@@ -25,13 +96,24 @@ public class GeometricMeanUtils {
     }
 
     /**
+     * 计算几何平均数及其权重（使用当前配置的参数）
+     *
+     * @return 包含总和和各权重的计算结果
+     */
+    public static CalculationResult calculateWithWeights() {
+        WeightParams params = currentParams.get();
+        return calculateWithWeights(params.a, params.b, params.c);
+    }
+
+    /**
      * 计算几何平均数及其权重
      *
-     * @param a 变量a
-     * @param b 变量b
-     * @param c 变量c
+     * @param a 变量 a
+     * @param b 变量 b
+     * @param c 变量 c
      * @return 包含总和和各权重的计算结果
      */
+    @Deprecated
     public static CalculationResult calculateWithWeights(double a, double b, double c) {
         double g1 = Math.cbrt(1.0 * a * b);
         double g2 = Math.cbrt((1.0 / a) * 1.0 * c);

airport-framework/src/main/java/com/sundot/airport/framework/config/PerformanceConfigInitializer.java

@@ -0,0 +1,66 @@
+package com.sundot.airport.framework.config;
+
+import com.sundot.airport.common.utils.GeometricMeanUtils;
+import com.sundot.airport.system.service.ISysConfigService;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Component;
+
+import javax.annotation.PostConstruct;
+import java.math.BigDecimal;
+
+/**
+ * 绩效参数配置初始化
+ *
+ * @author wangxx
+ * @date 2026-03-16
+ */
+@Component
+public class PerformanceConfigInitializer {
+
+    @Autowired
+    private ISysConfigService configService;
+
+    /**
+     * 应用启动时初始化绩效参数配置
+     */
+    @PostConstruct
+    public void init() {
+        try {
+            // 从数据库读取配置
+            String paramAStr = configService.selectConfigByKey("item.performance.matrix.param_a");
+            String paramBStr = configService.selectConfigByKey("item.performance.matrix.param_b");
+            String paramCStr = configService.selectConfigByKey("item.performance.matrix.param_c");
+
+            // 解析参数值，如果不存在则使用默认值
+            double paramA = parseParam(paramAStr, 3.0);
+            double paramB = parseParam(paramBStr, 5.0);
+            double paramC = parseParam(paramCStr, 2.0);
+
+            // 设置到 GeometricMeanUtils
+            GeometricMeanUtils.setParams(paramA, paramB, paramC);
+        } catch (Exception e) {
+            // 使用默认值
+            GeometricMeanUtils.setParams(3.0, 5.0, 2.0);
+        }
+    }
+
+    /**
+     * 解析参数值
+     *
+     * @param value        配置值
+     * @param defaultValue 默认值
+     * @return 解析后的 double 值
+     */
+    private double parseParam(String value, double defaultValue) {
+        if (value == null || value.isEmpty()) {
+            return defaultValue;
+        }
+
+        try {
+            return new BigDecimal(value).doubleValue();
+        } catch (Exception e) {
+            return defaultValue;
+        }
+    }
+
+}