diff --git a/src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java b/src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java
index cc32add..8e232db 100644
--- a/src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java
+++ b/src/main/java/com/ycwl/basic/service/pc/impl/FaceServiceImpl.java
@@ -26,7 +26,7 @@ import com.ycwl.basic.model.pc.face.req.FaceReqQuery;
 import com.ycwl.basic.model.pc.face.resp.FaceRespVO;
 import com.ycwl.basic.model.pc.faceSample.entity.FaceSampleEntity;
 import com.ycwl.basic.model.pc.mp.MpConfigEntity;
-import com.ycwl.basic.model.pc.scenic.entity.ScenicConfigEntity;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
 import com.ycwl.basic.model.pc.source.entity.MemberSourceEntity;
 import com.ycwl.basic.model.pc.source.entity.SourceEntity;
 import com.ycwl.basic.model.pc.source.req.SourceReqQuery;
@@ -245,121 +245,361 @@ public class FaceServiceImpl implements FaceService {
 
     @Override
     public SearchFaceRespVo matchFaceId(Long faceId, boolean isNew) {
-        FaceEntity face = faceRepository.getFace(faceId);
-        if (face == null) {
-            return null;
+        if (faceId == null) {
+            throw new IllegalArgumentException("faceId 不能为空");
         }
-        ScenicConfigEntity scenicConfig = scenicRepository.getScenicConfig(face.getScenicId());
-        IFaceBodyAdapter faceBodyAdapter = scenicService.getScenicFaceBodyAdapter(face.getScenicId());
-        SearchFaceRespVo scenicDbSearchResult = faceService.searchFace(faceBodyAdapter, String.valueOf(face.getScenicId()), face.getFaceUrl(), "人脸识别");
-        if (scenicDbSearchResult == null) {
-            throw new BaseException("人脸识别失败，请换一张试试把~");
-        }
-        if (scenicDbSearchResult.getSampleListIds() != null && scenicDbSearchResult.getFirstMatchRate() != null && !scenicDbSearchResult.getSampleListIds().isEmpty()) {
-            if (scenicConfig != null && scenicConfig.getFaceDetectHelperThreshold() != null && scenicConfig.getFaceDetectHelperThreshold() > 0) {
-                if (scenicDbSearchResult.getSampleListIds().size() < scenicConfig.getFaceDetectHelperThreshold()) {
-                    // 补救逻辑
-                    Long resultItem = scenicDbSearchResult.getSampleListIds().getFirst();
-                    FaceSampleEntity faceSample = faceRepository.getFaceSample(resultItem);
-                    if (faceSample != null) {
-                        // 以这个结果为人脸库的匹配结果
-                        SearchFaceRespVo tmpResult = faceService.searchFace(faceBodyAdapter, String.valueOf(face.getScenicId()), faceSample.getFaceUrl(), "人脸补救措施1");
-                        if (tmpResult != null && tmpResult.getSampleListIds() != null && !tmpResult.getSampleListIds().isEmpty()) {
-                            scenicDbSearchResult = tmpResult;
-                        }
-                    }
-                }
+        
+        log.debug("开始人脸匹配：faceId={}, isNew={}", faceId, isNew);
+        
+        try {
+            // 1. 数据准备：获取人脸信息、景区配置、适配器等
+            FaceEntity face = faceRepository.getFace(faceId);
+            if (face == null) {
+                log.warn("人脸不存在，faceId: {}", faceId);
+                return null;
             }
-        }
-        FaceEntity faceEntity = new FaceEntity();
-        faceEntity.setId(faceId);
-        faceEntity.setScore(scenicDbSearchResult.getScore());
-        faceEntity.setMatchResult(scenicDbSearchResult.getSearchResultJson());
-        if (scenicDbSearchResult.getFirstMatchRate() != null) {
-            faceEntity.setFirstMatchRate(BigDecimal.valueOf(scenicDbSearchResult.getFirstMatchRate()));
-        }
-        if (scenicDbSearchResult.getSampleListIds() != null) {
-            faceEntity.setMatchSampleIds(scenicDbSearchResult.getSampleListIds().stream().map(String::valueOf).collect(Collectors.joining(",")));
-        }
-        faceEntity.setCreateAt(new Date());
-        faceEntity.setScenicId(face.getScenicId());
-        faceEntity.setMemberId(face.getMemberId());
-        faceEntity.setFaceUrl(face.getFaceUrl());
-        List<Long> sampleListIds = scenicDbSearchResult.getSampleListIds();
-        faceMapper.update(faceEntity);
-        faceRepository.clearFaceCache(faceEntity.getId());
-        if (sampleListIds != null && !sampleListIds.isEmpty()) {// 匹配原片：照片
-            List<SourceEntity> sourceEntities = sourceMapper.listBySampleIds(sampleListIds);
-            List<MemberSourceEntity> memberSourceEntityList = sourceEntities.stream().map(sourceEntity -> {
-                DeviceConfigManager deviceConfig = deviceRepository.getDeviceConfigManager(sourceEntity.getDeviceId());
-                MemberSourceEntity memberSourceEntity = new MemberSourceEntity();
-                memberSourceEntity.setScenicId(face.getScenicId());
-                memberSourceEntity.setFaceId(face.getId());
-                memberSourceEntity.setMemberId(face.getMemberId());
-                memberSourceEntity.setSourceId(sourceEntity.getId());
-                memberSourceEntity.setType(sourceEntity.getType());
-                memberSourceEntity.setIsFree(0);
-                if (deviceConfig != null) {
-                    if (sourceEntity.getType() == 1) {
-                        if (Integer.valueOf(1).equals(deviceConfig.getInteger("video_free"))) {
-                            memberSourceEntity.setIsFree(1);
-                        }
-                    } else if (sourceEntity.getType() == 2) {
-                        if (Integer.valueOf(1).equals(deviceConfig.getInteger("image_free"))) {
-                            memberSourceEntity.setIsFree(1);
-                        }
-                    }
-                }
-                return memberSourceEntity;
-            }).collect(Collectors.toList());
-            List<Long> freeSourceIds = new ArrayList<>();
-            List<MemberSourceEntity> photoSource = memberSourceEntityList.stream().filter(item -> item.getIsFree() == 0).filter(item -> Integer.valueOf(2).equals(item.getType())).toList();
-            if (isNew) {
-                // 送照片逻辑
-                if (scenicConfig != null && scenicConfig.getPhotoFreeNum() != null && scenicConfig.getPhotoFreeNum() > 0) {
-                    if (scenicConfig.getPhotoFreeNum() > photoSource.size()) {
-                        freeSourceIds.addAll(photoSource.stream().map(MemberSourceEntity::getSourceId).toList());
-                    } else {
-                        freeSourceIds.addAll(photoSource.stream().limit(scenicConfig.getPhotoFreeNum()).map(MemberSourceEntity::getSourceId).toList());
+
+            ScenicConfigManager scenicConfig = scenicRepository.getScenicConfigManager(face.getScenicId());
+            IFaceBodyAdapter faceBodyAdapter = scenicService.getScenicFaceBodyAdapter(face.getScenicId());
+            
+            if (faceBodyAdapter == null) {
+                log.error("无法获取人脸识别适配器，scenicId: {}", face.getScenicId());
+                throw new BaseException("人脸识别服务不可用，请稍后再试");
+            }
+            
+            // 2. 人脸识别：执行人脸搜索和补救逻辑
+            SearchFaceRespVo scenicDbSearchResult;
+            try {
+                scenicDbSearchResult = faceService.searchFace(faceBodyAdapter, 
+                                                             String.valueOf(face.getScenicId()), 
+                                                             face.getFaceUrl(), 
+                                                             "人脸识别");
+            } catch (Exception e) {
+                log.error("人脸识别服务调用失败，faceId={}, scenicId={}", faceId, face.getScenicId(), e);
+                throw new BaseException("人脸识别失败，请换一张试试把~");
+            }
+            
+            if (scenicDbSearchResult == null) {
+                log.warn("人脸识别返回结果为空，faceId={}", faceId);
+                throw new BaseException("人脸识别失败，请换一张试试把~");
+            }
+
+            // 执行补救逻辑（如需要）
+            scenicDbSearchResult = executeFaceRecoveryLogic(scenicDbSearchResult, scenicConfig, 
+                                                           faceBodyAdapter, face.getScenicId());
+            
+            // 3. 结果处理：更新人脸实体信息
+            try {
+                updateFaceEntityResult(face, scenicDbSearchResult, faceId);
+            } catch (Exception e) {
+                log.error("更新人脸结果失败，faceId={}", faceId, e);
+                throw new BaseException("保存人脸识别结果失败");
+            }
+            
+            List<Long> sampleListIds = scenicDbSearchResult.getSampleListIds();
+            if (sampleListIds != null && !sampleListIds.isEmpty()) {
+                try {
+                    // 4. 源文件关联：处理匹配到的源文件
+                    List<MemberSourceEntity> memberSourceEntityList = processMemberSources(sampleListIds, face);
+                    
+                    if (!memberSourceEntityList.isEmpty()) {
+                        // 5. 业务逻辑处理：免费逻辑、购买状态、任务创建
+                        List<Long> freeSourceIds = processFreeSourceLogic(memberSourceEntityList, scenicConfig, isNew);
+                        processBuyStatus(memberSourceEntityList, freeSourceIds, face.getMemberId(), 
+                                       face.getScenicId(), faceId);
+                        
+                        // 处理视频重切逻辑
+                        handleVideoRecreation(scenicConfig, memberSourceEntityList, faceId, 
+                                             face.getMemberId(), sampleListIds, isNew);
+                        
+                        // 保存关联关系并创建任务
+                        sourceMapper.addRelations(memberSourceEntityList);
+                        taskTaskService.autoCreateTaskByFaceId(face.getId());
+                        
+                        log.info("人脸匹配完成：faceId={}, 匹配样本数={}, 关联源文件数={}, 免费数={}",
+                                 faceId, sampleListIds.size(), memberSourceEntityList.size(), freeSourceIds.size());
                     }
+                } catch (Exception e) {
+                    log.error("处理源文件关联失败，faceId={}", faceId, e);
+                    // 源文件关联失败不影响主流程，记录错误但不抛出异常
                 }
             } else {
-                // 重新切视频逻辑
-                if (scenicConfig != null && !Boolean.TRUE.equals(scenicConfig.getDisableSourceVideo())) {
-                    long videoCount = memberSourceEntityList.stream().filter(item -> item.getType().equals(1)).count();
-                    long photoCount = memberSourceEntityList.stream().filter(item -> item.getType().equals(2)).count();
-                    if (photoCount > videoCount) {
-                        VideoPieceGetter.Task task = new VideoPieceGetter.Task();
-                        task.faceId = faceId;
-                        task.faceSampleIds = sampleListIds;
-                        task.templateId = null;
-                        task.memberId = face.getMemberId();
-                        task.callback = () -> {
-                            log.info("task callback: {}", task);
-                        };
-                        VideoPieceGetter.addTask(task);
-                    }
-                }
+                log.warn("人脸匹配无结果：faceId={}", faceId);
             }
-            if (!memberSourceEntityList.isEmpty()) {
-                IsBuyRespVO isBuy = orderBiz.isBuy(face.getMemberId(), face.getScenicId(), memberSourceEntityList.getFirst().getType(), faceEntity.getId());
-                for (MemberSourceEntity memberSourceEntity : memberSourceEntityList) {
-                    if (isBuy.isBuy()) { // 如果用户买过
-                        memberSourceEntity.setIsBuy(1);
-                    } else if (isBuy.isFree()) { // 全免费逻辑
-                        memberSourceEntity.setIsBuy(1);
-                    } else {
-                        memberSourceEntity.setIsBuy(0);
+            
+            return scenicDbSearchResult;
+            
+        } catch (BaseException e) {
+            // 业务异常直接抛出
+            throw e;
+        } catch (Exception e) {
+            log.error("人脸匹配处理异常，faceId={}, isNew={}", faceId, isNew, e);
+            throw new BaseException("人脸匹配处理失败，请稍后重试");
+        }
+    }
+
+    /**
+     * 更新人脸实体结果信息
+     */
+    private void updateFaceEntityResult(FaceEntity originalFace, SearchFaceRespVo searchResult, Long faceId) {
+        FaceEntity faceEntity = new FaceEntity();
+        faceEntity.setId(faceId);
+        faceEntity.setScore(searchResult.getScore());
+        faceEntity.setMatchResult(searchResult.getSearchResultJson());
+        
+        if (searchResult.getFirstMatchRate() != null) {
+            faceEntity.setFirstMatchRate(BigDecimal.valueOf(searchResult.getFirstMatchRate()));
+        }
+        
+        if (searchResult.getSampleListIds() != null) {
+            faceEntity.setMatchSampleIds(searchResult.getSampleListIds().stream()
+                    .map(String::valueOf)
+                    .collect(Collectors.joining(",")));
+        }
+        
+        faceEntity.setCreateAt(new Date());
+        faceEntity.setScenicId(originalFace.getScenicId());
+        faceEntity.setMemberId(originalFace.getMemberId());
+        faceEntity.setFaceUrl(originalFace.getFaceUrl());
+        
+        faceMapper.update(faceEntity);
+        faceRepository.clearFaceCache(faceEntity.getId());
+        
+        log.debug("人脸结果更新完成：faceId={}, score={}, 匹配数={}", 
+                 faceId, searchResult.getScore(), 
+                 searchResult.getSampleListIds() != null ? searchResult.getSampleListIds().size() : 0);
+    }
+
+    /**
+     * 执行人脸识别补救逻辑
+     * 当匹配结果数量少于阈值时，使用第一个匹配结果重新进行人脸搜索
+     */
+    private SearchFaceRespVo executeFaceRecoveryLogic(SearchFaceRespVo originalResult, 
+                                                     ScenicConfigManager scenicConfig,
+                                                     IFaceBodyAdapter faceBodyAdapter,
+                                                     Long scenicId) {
+        if (originalResult == null || originalResult.getSampleListIds() == null || 
+            originalResult.getFirstMatchRate() == null || originalResult.getSampleListIds().isEmpty()) {
+            return originalResult;
+        }
+
+        if (scenicConfig == null) {
+            return originalResult;
+        }
+
+        // 检查是否需要执行补救逻辑
+        Integer helperThreshold = scenicConfig.getInteger("face_detect_helper_threshold", 0);
+        if (helperThreshold == null || helperThreshold <= 0) {
+            return originalResult;
+        }
+
+        // 检查匹配结果数量是否少于阈值
+        if (originalResult.getSampleListIds().size() >= helperThreshold) {
+            return originalResult;
+        }
+
+        log.info("执行人脸识别补救逻辑，原匹配数量: {}, 阈值: {}",
+                 originalResult.getSampleListIds().size(), helperThreshold);
+
+        // 获取第一个匹配结果
+        Long firstResultId = originalResult.getSampleListIds().getFirst();
+        FaceSampleEntity faceSample = faceRepository.getFaceSample(firstResultId);
+        
+        if (faceSample == null) {
+            log.warn("补救逻辑失败：无法找到人脸样本, sampleId: {}", firstResultId);
+            return originalResult;
+        }
+
+        // 使用人脸样本重新进行搜索
+        try {
+            SearchFaceRespVo recoveryResult = faceService.searchFace(faceBodyAdapter, 
+                                                                    String.valueOf(scenicId), 
+                                                                    faceSample.getFaceUrl(), 
+                                                                    "人脸补救措施1");
+            
+            if (recoveryResult != null && recoveryResult.getSampleListIds() != null && 
+                !recoveryResult.getSampleListIds().isEmpty()) {
+                log.info("补救逻辑成功，新匹配数量: {}", recoveryResult.getSampleListIds().size());
+                return recoveryResult;
+            }
+        } catch (Exception e) {
+            log.warn("补救逻辑执行失败", e);
+        }
+
+        return originalResult;
+    }
+
+    /**
+     * 处理源文件关联逻辑
+     * 根据匹配的样本ID创建MemberSourceEntity列表
+     */
+    private List<MemberSourceEntity> processMemberSources(List<Long> sampleListIds, FaceEntity face) {
+        if (sampleListIds == null || sampleListIds.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        List<SourceEntity> sourceEntities = sourceMapper.listBySampleIds(sampleListIds);
+        if (sourceEntities.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        return sourceEntities.stream().map(sourceEntity -> {
+            DeviceConfigManager deviceConfig = deviceRepository.getDeviceConfigManager(sourceEntity.getDeviceId());
+            MemberSourceEntity memberSourceEntity = new MemberSourceEntity();
+            memberSourceEntity.setScenicId(face.getScenicId());
+            memberSourceEntity.setFaceId(face.getId());
+            memberSourceEntity.setMemberId(face.getMemberId());
+            memberSourceEntity.setSourceId(sourceEntity.getId());
+            memberSourceEntity.setType(sourceEntity.getType());
+            
+            // 设置免费状态 - 默认收费
+            memberSourceEntity.setIsFree(0);
+            
+            if (deviceConfig != null) {
+                // 视频类型检查
+                if (sourceEntity.getType() == 1) {
+                    if (Integer.valueOf(1).equals(deviceConfig.getInteger("video_free"))) {
+                        memberSourceEntity.setIsFree(1);
                     }
-                    if (freeSourceIds.contains(memberSourceEntity.getSourceId())) {
+                } 
+                // 图片类型检查
+                else if (sourceEntity.getType() == 2) {
+                    if (Integer.valueOf(1).equals(deviceConfig.getInteger("image_free"))) {
                         memberSourceEntity.setIsFree(1);
                     }
                 }
-                sourceMapper.addRelations(memberSourceEntityList);
-                taskTaskService.autoCreateTaskByFaceId(face.getId());
+            }
+            
+            return memberSourceEntity;
+        }).collect(Collectors.toList());
+    }
+
+    /**
+     * 处理免费源文件逻辑
+     * 根据景区配置和是否新用户决定哪些照片可以免费
+     */
+    private List<Long> processFreeSourceLogic(List<MemberSourceEntity> memberSourceEntityList, 
+                                            ScenicConfigManager scenicConfig, 
+                                            boolean isNew) {
+        List<Long> freeSourceIds = new ArrayList<>();
+        
+        if (memberSourceEntityList.isEmpty()) {
+            return freeSourceIds;
+        }
+
+        if (isNew) {
+            // 新用户送照片逻辑
+            List<MemberSourceEntity> photoSource = memberSourceEntityList.stream()
+                    .filter(item -> item.getIsFree() == 0)  // 只考虑收费的
+                    .filter(item -> Integer.valueOf(2).equals(item.getType()))  // 只考虑照片类型
+                    .toList();
+
+            Integer photoFreeNum = scenicConfig != null ? scenicConfig.getInteger("photo_free_num") : null;
+            if (scenicConfig != null && photoFreeNum != null && photoFreeNum > 0) {
+                
+                int freePhotoCount = Math.min(photoFreeNum, photoSource.size());
+                freeSourceIds.addAll(photoSource.stream()
+                        .limit(freePhotoCount)
+                        .map(MemberSourceEntity::getSourceId)
+                        .toList());
+                
+                log.debug("新用户免费照片逻辑：配置免费数量 {}, 实际可用 {}, 赠送 {} 张", 
+                         photoFreeNum, photoSource.size(), freePhotoCount);
             }
         }
-        return scenicDbSearchResult;
+
+        return freeSourceIds;
+    }
+
+    /**
+     * 处理购买状态逻辑
+     * 设置每个源文件的购买状态和免费状态
+     */
+    private void processBuyStatus(List<MemberSourceEntity> memberSourceEntityList,
+                                List<Long> freeSourceIds,
+                                Long memberId,
+                                Long scenicId,
+                                Long faceId) {
+        if (memberSourceEntityList.isEmpty()) {
+            return;
+        }
+
+        // 获取用户购买状态
+        IsBuyRespVO isBuy = orderBiz.isBuy(memberId, scenicId, 
+                                          memberSourceEntityList.getFirst().getType(), 
+                                          faceId);
+        
+        for (MemberSourceEntity memberSourceEntity : memberSourceEntityList) {
+            // 设置购买状态
+            if (isBuy.isBuy()) { 
+                // 如果用户买过
+                memberSourceEntity.setIsBuy(1);
+            } else if (isBuy.isFree()) { 
+                // 全免费逻辑
+                memberSourceEntity.setIsBuy(1);
+            } else {
+                memberSourceEntity.setIsBuy(0);
+            }
+            
+            // 设置免费状态
+            if (freeSourceIds.contains(memberSourceEntity.getSourceId())) {
+                memberSourceEntity.setIsFree(1);
+            }
+        }
+        
+        log.debug("购买状态处理完成：用户购买状态 isBuy={}, isFree={}, 免费源文件数量={}", 
+                 isBuy.isBuy(), isBuy.isFree(), freeSourceIds.size());
+    }
+
+    /**
+     * 处理视频重切逻辑
+     * 当非新用户且照片数量大于视频数量时，创建视频重切任务
+     */
+    private void handleVideoRecreation(ScenicConfigManager scenicConfig,
+                                     List<MemberSourceEntity> memberSourceEntityList,
+                                     Long faceId,
+                                     Long memberId,
+                                     List<Long> sampleListIds,
+                                     boolean isNew) {
+        // 新用户不执行视频重切逻辑
+        if (isNew) {
+            return;
+        }
+
+        // 检查景区是否禁用源视频功能
+        Boolean disableSourceVideo = scenicConfig != null ? scenicConfig.getBoolean("disable_source_video") : null;
+        if (scenicConfig == null || Boolean.TRUE.equals(disableSourceVideo)) {
+            log.debug("视频重切逻辑跳过：景区禁用了源视频功能");
+            return;
+        }
+
+        // 统计视频和照片数量
+        long videoCount = memberSourceEntityList.stream()
+                .filter(item -> Integer.valueOf(1).equals(item.getType()))
+                .count();
+        long photoCount = memberSourceEntityList.stream()
+                .filter(item -> Integer.valueOf(2).equals(item.getType()))
+                .count();
+
+        log.debug("视频重切逻辑：视频数量 {}, 照片数量 {}", videoCount, photoCount);
+
+        // 只有照片数量大于视频数量时才创建重切任务
+        if (photoCount > videoCount) {
+            VideoPieceGetter.Task task = new VideoPieceGetter.Task();
+            task.faceId = faceId;
+            task.faceSampleIds = sampleListIds;
+            task.templateId = null;
+            task.memberId = memberId;
+            task.callback = () -> {
+                log.info("视频重切任务回调: {}", task);
+            };
+            
+            VideoPieceGetter.addTask(task);
+            log.debug("视频重切任务已创建：faceId={}, memberId={}, sampleIds={}", 
+                     faceId, memberId, sampleListIds.size());
+        } else {
+            log.debug("视频重切逻辑跳过：照片数量({})未超过视频数量({})", photoCount, videoCount);
+        }
     }
 
     @Override
@@ -443,8 +683,8 @@ public class FaceServiceImpl implements FaceService {
         sourceImageContent.setContentType(2);
         sourceVideoContent.setLockType(-1);
         sourceImageContent.setLockType(-1);
-        ScenicConfigEntity scenicConfig = scenicRepository.getScenicConfig(faceRespVO.getScenicId());
-        if (!Boolean.TRUE.equals(scenicConfig.getDisableSourceImage())) {
+        ScenicConfigManager scenicConfig = scenicRepository.getScenicConfigManager(faceRespVO.getScenicId());
+        if (!Boolean.TRUE.equals(scenicConfig.getBoolean("disable_source_image"))) {
             IsBuyRespVO isBuyRespVO = orderBiz.isBuy(userId, faceRespVO.getScenicId(), 2, faceId);
             sourceImageContent.setSourceType(isBuyRespVO.getGoodsType());
             sourceImageContent.setContentId(isBuyRespVO.getGoodsId());
@@ -463,7 +703,7 @@ public class FaceServiceImpl implements FaceService {
             sourceImageContent.setFreeCount((int) freeCount);
             contentList.add(sourceImageContent);
         }
-        if (!Boolean.TRUE.equals(scenicConfig.getDisableSourceVideo())) {
+        if (!Boolean.TRUE.equals(scenicConfig.getBoolean("disable_source_video"))) {
             IsBuyRespVO isBuyRespVO = orderBiz.isBuy(userId, faceRespVO.getScenicId(), 1, faceId);
             sourceVideoContent.setSourceType(isBuyRespVO.getGoodsType());
             sourceVideoContent.setContentId(isBuyRespVO.getGoodsId());
diff --git a/src/main/java/com/ycwl/basic/service/task/impl/TaskFaceServiceImpl.java b/src/main/java/com/ycwl/basic/service/task/impl/TaskFaceServiceImpl.java
index 44f4beb..910716e 100644
--- a/src/main/java/com/ycwl/basic/service/task/impl/TaskFaceServiceImpl.java
+++ b/src/main/java/com/ycwl/basic/service/task/impl/TaskFaceServiceImpl.java
@@ -2,6 +2,7 @@ package com.ycwl.basic.service.task.impl;
 
 import cn.hutool.core.date.DateUtil;
 import com.ycwl.basic.integration.common.manager.DeviceConfigManager;
+import com.ycwl.basic.integration.common.manager.ScenicConfigManager;
 import com.ycwl.basic.utils.JacksonUtil;
 import com.aliyuncs.facebody.model.v20191230.SearchFaceRequest;
 import com.ycwl.basic.biz.OrderBiz;
@@ -168,26 +169,22 @@ public class TaskFaceServiceImpl implements TaskFaceService {
         request.setDbName(dbName);
         request.setImageUrl(faceUrl);
         request.setLimit(200);
-//        request.setQualityScoreThreshold(60f);
         FaceDetectLog logEntity = FaceDetectLog.quickCreate(reason, request);
         float threshold = 0;
-        int tourMinutes = -1;
+        ScenicConfigManager scenicConfig = null;
         if (StringUtils.isNumeric(dbName)) {
-            ScenicConfigEntity scenicConfig = scenicRepository.getScenicConfig(Long.valueOf(dbName));
+            scenicConfig = scenicRepository.getScenicConfigManager(Long.valueOf(dbName));
             if (scenicConfig != null) {
-                if (scenicConfig.getFaceScoreThreshold() != null) {
-                    threshold = scenicConfig.getFaceScoreThreshold() / 100F;
-                }
-                if (scenicConfig.getTourTime() != null) {
-                    tourMinutes = scenicConfig.getTourTime();
+                if (scenicConfig.getFloat("face_score_threshold") != null) {
+                    threshold = scenicConfig.getFloat("face_score_threshold") / 100F;
                 }
             }
         } else if (StringUtils.isNumeric(dbName.replace(USER_FACE_DB_NAME, ""))) {
             Long scenicId = Long.valueOf(dbName.replace(USER_FACE_DB_NAME, ""));
-            ScenicConfigEntity scenicConfig = scenicRepository.getScenicConfig(scenicId);
+            scenicConfig = scenicRepository.getScenicConfigManager(scenicId);
             if (scenicConfig != null) {
-                if (scenicConfig.getFaceScoreThreshold() != null) {
-                    threshold = scenicConfig.getFaceScoreThreshold() / 100F;
+                if (scenicConfig.getFloat("face_score_threshold") != null) {
+                    threshold = scenicConfig.getFloat("face_score_threshold") / 100F;
                 }
             }
         }
@@ -219,35 +216,8 @@ public class TaskFaceServiceImpl implements TaskFaceService {
                     .filter(StringUtils::isNumeric)
                     .map(Long::valueOf)
                     .collect(Collectors.toList());
-            List<FaceSampleEntity> allFaceSampleList = new ArrayList<>();
-            if (StringUtils.isNumeric(dbName)) { // 景区
-                allFaceSampleList = faceSampleMapper.listByIds(allFaceSampleIds);
-                if (!acceptFaceSampleIds.isEmpty()) {
-                    List<Long> finalAcceptFaceSampleIds = acceptFaceSampleIds;
-                    Optional<FaceSampleEntity> firstFaceSample = allFaceSampleList.stream()
-                            .filter(faceSample -> finalAcceptFaceSampleIds.contains(faceSample.getId()))
-                            .sorted(Comparator.comparing(FaceSampleEntity::getCreateAt).reversed())
-                            .findAny();
-//                    Long firstFaceSampleId = acceptFaceSampleIds.getFirst();
-//                    Optional<FaceSampleEntity> firstFaceSample = allFaceSampleList.stream().filter(faceSample -> faceSample.getId().equals(firstFaceSampleId)).findAny();
-                    if (firstFaceSample.isPresent()) {
-                        if (tourMinutes > 0) {
-                            List<FaceSampleEntity> acceptFaceSampleList = faceSampleMapper.listByIds(acceptFaceSampleIds);
-                            Date startDate = DateUtil.offsetMinute(firstFaceSample.get().getCreateAt(), -tourMinutes);
-                            Date endDate = DateUtil.offsetMinute(firstFaceSample.get().getCreateAt(), 1);
-                            acceptFaceSampleIds = acceptFaceSampleList.stream()
-                                    .filter(faceSample -> faceSample.getCreateAt().after(startDate) && faceSample.getCreateAt().before(endDate))
-                                    .map(FaceSampleEntity::getId)
-                                    .collect(Collectors.toList());
-                            log.info("时间范围逻辑：最高匹配：{}，时间范围需要在：{}~{}间", firstFaceSample, startDate, endDate);
-                        } else {
-                            log.info("时间范围逻辑：景区未限制");
-                        }
-                    } else {
-                        log.info("时间范围逻辑：最高匹配ID：{}，未找到", "--");
-                    }
-                }
-            }
+            List<FaceSampleEntity> allFaceSampleList = faceSampleMapper.listByIds(allFaceSampleIds);
+            acceptFaceSampleIds = applySampleFilters(acceptFaceSampleIds, allFaceSampleList, scenicConfig);
             List<MatchLocalRecord> collect = new ArrayList<>();
             for (SearchFaceResultItem item : records) {
                 MatchLocalRecord record = new MatchLocalRecord();
@@ -360,4 +330,97 @@ public class TaskFaceServiceImpl implements TaskFaceService {
         }
         redisTemplate.opsForValue().set(FaceConstant.FACE_USER_URL_PFX + faceId, faceUrl, 3, TimeUnit.DAYS);
     }
+
+    /**
+     * 应用样本筛选逻辑
+     * 包含时间范围筛选和未来可能的其他筛选策略
+     * 
+     * @param acceptedSampleIds 已接受的样本ID列表
+     * @param allFaceSampleList 所有人脸样本实体列表
+     * @param scenicConfig 景区配置，包含各种筛选策略的参数
+     * @return 筛选后的样本ID列表
+     */
+    private List<Long> applySampleFilters(List<Long> acceptedSampleIds,
+                                        List<FaceSampleEntity> allFaceSampleList, 
+                                        ScenicConfigManager scenicConfig) {
+        if (acceptedSampleIds == null || acceptedSampleIds.isEmpty()) {
+            return acceptedSampleIds;
+        }
+        if (scenicConfig == null) {
+            // 没有配置，不管
+            return acceptedSampleIds;
+        }
+
+        // 1. 找到最高匹配的样本（按创建时间倒序排列的第一个）
+        Optional<FaceSampleEntity> firstFaceSample = allFaceSampleList.stream()
+                .filter(faceSample -> acceptedSampleIds.contains(faceSample.getId())).max(Comparator.comparing(FaceSampleEntity::getCreateAt));
+
+        if (firstFaceSample.isEmpty()) {
+            log.warn("样本筛选逻辑：未找到匹配的人脸样本，acceptedIds: {}", acceptedSampleIds);
+            return acceptedSampleIds;
+        }
+
+        FaceSampleEntity topMatchSample = firstFaceSample.get();
+        log.debug("样本筛选逻辑：找到最高匹配样本 ID={}, 创建时间={}", 
+                 topMatchSample.getId(), topMatchSample.getCreateAt());
+
+        List<Long> filteredIds = acceptedSampleIds;
+
+        // 2. 应用时间范围筛选（基于景区配置）
+        if (scenicConfig.getInteger("tour_time", 0) > 0) {
+            filteredIds = filterSampleIdsByTimeRange(filteredIds, topMatchSample, scenicConfig.getInteger("tour_time"));
+            log.debug("应用时间范围筛选：游览时间限制={}分钟", scenicConfig.getInteger("tour_time"));
+        } else {
+            log.debug("时间范围逻辑：景区未设置游览时间限制");
+        }
+
+        // 3. TODO: 基于景区配置的其他筛选策略
+        // 可以根据 scenicConfig 中的配置来决定是否启用特定筛选
+        // 示例：未来可能的筛选策略
+        // if (scenicConfig.getEnableLocationFilter() != null && scenicConfig.getEnableLocationFilter()) {
+        //     filteredIds = applyLocationFilter(filteredIds, allFaceSampleList, scenicConfig);
+        // }
+        // if (scenicConfig.getEnableQualityFilter() != null && scenicConfig.getEnableQualityFilter()) {
+        //     filteredIds = applyQualityFilter(filteredIds, allFaceSampleList, scenicConfig);
+        // }
+        // if (scenicConfig.getMaxSampleCount() != null) {
+        //     filteredIds = applySampleCountLimit(filteredIds, scenicConfig.getMaxSampleCount());
+        // }
+
+        log.debug("样本筛选完成：原始数量={}, 最终数量={}",
+                 acceptedSampleIds.size(), filteredIds.size());
+        return filteredIds;
+    }
+
+    /**
+     * 根据时间范围过滤人脸样本ID
+     * 基于最高匹配样本的时间，过滤出指定时间范围内的样本ID
+     */
+    private List<Long> filterSampleIdsByTimeRange(List<Long> acceptedSampleIds, 
+                                                  FaceSampleEntity firstMatch, 
+                                                  int tourMinutes) {
+        if (acceptedSampleIds == null || acceptedSampleIds.isEmpty() || 
+            firstMatch == null || tourMinutes <= 0) {
+            return acceptedSampleIds;
+        }
+
+        List<FaceSampleEntity> acceptFaceSampleList = faceSampleMapper.listByIds(acceptedSampleIds);
+        if (acceptFaceSampleList.isEmpty()) {
+            return acceptedSampleIds;
+        }
+
+        Date startDate = DateUtil.offsetMinute(firstMatch.getCreateAt(), -tourMinutes);
+        Date endDate = DateUtil.offsetMinute(firstMatch.getCreateAt(), 1);
+
+        List<Long> filteredIds = acceptFaceSampleList.stream()
+                .filter(faceSample -> faceSample.getCreateAt().after(startDate) && 
+                                     faceSample.getCreateAt().before(endDate))
+                .map(FaceSampleEntity::getId)
+                .collect(Collectors.toList());
+
+        log.info("时间范围逻辑：最高匹配：{}，时间范围：{}~{}，原样本数：{}，过滤后样本数：{}", 
+                firstMatch.getId(), startDate, endDate, acceptedSampleIds.size(), filteredIds.size());
+
+        return filteredIds;
+    }
 }