重构管道中心选择逻辑，优化数据处理方式

app/algorithms/burst_location/burst_locator.py

@@ -37,6 +37,8 @@ def _ensure_signatures_for_centers(
     其中 subset 只包含 center_list 的行（顺序与 center_list 保持一致）。
     """
 
+    center_list = _dedupe_preserve_order(center_list)
+
     # 1) 推断传感器列名（与现有数据保持一致）
     sensor_name_all = list(pressure_monitor.columns)
     sensor_f_name_all = (
@@ -193,6 +195,17 @@ def find_list_repeat(candidate_center, target):
     return repeated_list
 
 
+def _dedupe_preserve_order(items):
+    seen = set()
+    output = []
+    for item in items:
+        if item in seen:
+            continue
+        seen.add(item)
+        output.append(item)
+    return output
+
+
 def cal_DtoTop1(
     G0, pipe_leak, located_pipe, pipe_start_node_all, pipe_end_node_all, pipe_length
 ):
@@ -324,6 +337,7 @@ def DN_search_multi_simple_add_flow_count_new(
         dis_f_h = 0
         if_compalsive = 0
         record_center_dataset = []
+        record_center_set = set()
         # iter
         while 1:
             final_area = []
@@ -374,18 +388,21 @@ def DN_search_multi_simple_add_flow_count_new(
             leak_center_dict = dict()
             for i in range(len(candidate_center_list)):
                 houxuan_center = []
+                candidate_group_set = set(candidate_group_list[i])
                 for each_center in record_center_dataset:
                     if (
-                        each_center in candidate_group_list[i]
+                        each_center in candidate_group_set
                         and each_center != candidate_center_list[i]
                     ):
                         houxuan_center.append(each_center)
                 add_center = add_center + houxuan_center
                 houxuan_center.append(candidate_center_list[i])
                 leak_center_dict[candidate_center_list[i]] = houxuan_center
+            add_center = _dedupe_preserve_order(add_center)
             for each_center in candidate_center_list:
-                if each_center not in record_center_dataset:
+                if each_center not in record_center_set:
                     record_center_dataset.append(each_center)
+                    record_center_set.add(each_center)
 
             # --------------------------------------------------------
             # --------------------------------------------------------
@@ -417,7 +434,9 @@ def DN_search_multi_simple_add_flow_count_new(
             if len(candidate_pipe_input) < 1.2 * top_pipe_num_max / top_group_ratio:
                 if_compalsive = 1
             cos_h, dis_h, dis_f_h = adjust_ratio(similarity_mode, cos_h, dis_h, dis_f_h)
-            candidate_center_list_sup = candidate_center_list + add_center
+            candidate_center_list_sup = _dedupe_preserve_order(
+                candidate_center_list + add_center
+            )
             similarity, cos_h, dis_h, dis_f_h, break_flag = (
                 cal_similarity_all_multi_new_sq_improve_double_lzr(
                     candidate_center_list_sup,