diff --git a/core/mogo-core-data/src/main/java/com/mogo/eagle/core/data/enums/TrafficTypeEnum.kt b/core/mogo-core-data/src/main/java/com/mogo/eagle/core/data/enums/TrafficTypeEnum.kt
index f3f7516287..6cb6aab617 100644
--- a/core/mogo-core-data/src/main/java/com/mogo/eagle/core/data/enums/TrafficTypeEnum.kt
+++ b/core/mogo-core-data/src/main/java/com/mogo/eagle/core/data/enums/TrafficTypeEnum.kt
@@ -16,10 +16,10 @@ enum class TrafficTypeEnum(
 ) {
 
     TYPE_TRAFFIC_ID_WEI_ZHI(
-        0,
+        100,
         "未知数据",
-        R.raw.special_vehicle,
-        R.raw.special_vehicle
+        R.raw.v2x_shigong_warning,
+        R.raw.v2x_shigong_warning
     ),
     TYPE_TRAFFIC_ID_PEOPLE(
         1,
diff --git a/modules/mogo-module-common/src/main/java/com/mogo/module/common/drawer/IdentifyDataDrawer.java b/modules/mogo-module-common/src/main/java/com/mogo/module/common/drawer/IdentifyDataDrawer.java
index 64a3d07820..0d9278c64d 100644
--- a/modules/mogo-module-common/src/main/java/com/mogo/module/common/drawer/IdentifyDataDrawer.java
+++ b/modules/mogo-module-common/src/main/java/com/mogo/module/common/drawer/IdentifyDataDrawer.java
@@ -34,6 +34,11 @@ public class IdentifyDataDrawer {
      */
     private final ConcurrentHashMap<String, TrafficData> mDirtyPositions = new ConcurrentHashMap<>();
 
+    /**
+     * 过滤后的数据集合
+     */
+    private final ArrayList<TrafficData> mFilterTrafficData = new ArrayList<>();
+
     private IdentifyDataDrawer() {
         mContext = AbsMogoApplication.getApp();
         addPreVehicleModel();
@@ -73,18 +78,21 @@ public class IdentifyDataDrawer {
         }
 
         // 循环将集合中的数据提取记录
-        ArrayList<String> trafficDataUuidList = new ArrayList<>();
-        for (TrafficData trafficData : resultList) {
-            trafficDataUuidList.add(trafficData.getUuid());
-        }
-
-        // 找出上一针数据中已经不在本次数据中存在的数据
-        for (String uuid : mMarkersCaches.keySet()) {
-            if (!trafficDataUuidList.contains(uuid)) {
-                mDirtyPositions.put(uuid, mMarkersCaches.get(uuid));
-            }
-        }
-
+//        ArrayList<String> trafficDataUuidList = new ArrayList<>();
+//        for (TrafficData trafficData : resultList) {
+//            // 过滤掉未知感知数据
+//            if (trafficData.getType() == TrafficTypeEnum.TYPE_TRAFFIC_ID_WEI_ZHI) {
+//                //Logger.w(TAG, "未知感知类型数据，丢弃，不渲染");
+//                continue;
+//            }
+//            trafficDataUuidList.add(trafficData.getUuid());
+//        }
+//        // 找出上一针数据中已经不在本次数据中存在的数据
+//        for (String uuid : mMarkersCaches.keySet()) {
+//            if (!trafficDataUuidList.contains(uuid)) {
+//                mDirtyPositions.put(uuid, mMarkersCaches.get(uuid));
+//            }
+//        }
 //        // 移除脏数据
 //        for (String uuid : mDirtyPositions.keySet()) {
 //            MogoApisHandler.getInstance().getApis()
@@ -97,10 +105,28 @@ public class IdentifyDataDrawer {
         MogoApisHandler.getInstance().getApis()
                 .getMapServiceApi()
                 .getMarkerManager(mContext)
-                .updateBatchMarkerPosition(resultList);
+                .updateBatchMarkerPosition(filterTrafficData(resultList));
 
     }
 
+    /**
+     * 数据过滤器
+     *
+     * @return 过滤后的数据集合
+     */
+    private ArrayList<TrafficData> filterTrafficData(ArrayList<TrafficData> trafficData) {
+        mFilterTrafficData.clear();
+        for (TrafficData data : trafficData) {
+            // 过滤掉未知感知数据
+            if (data.getType() == TrafficTypeEnum.TYPE_TRAFFIC_ID_WEI_ZHI) {
+                //Logger.w(TAG, "未知感知类型数据，丢弃，不渲染");
+                continue;
+            }
+            mFilterTrafficData.add(data);
+        }
+        return mFilterTrafficData;
+    }
+
 
     /**
      * 清除旧的 marker 数据