diff --git a/app/service/design_fast/pipeline/segmentation.py b/app/service/design_fast/pipeline/segmentation.py
index 8447514..786cf03 100644
--- a/app/service/design_fast/pipeline/segmentation.py
+++ b/app/service/design_fast/pipeline/segmentation.py
@@ -33,14 +33,20 @@ class Segmentation:
             result['back_mask'] = np.array(green_mask, dtype=np.uint8) * 255
             result['mask'] = result['front_mask'] + result['back_mask']
         else:
-            # 本地查询seg 缓存是否存在
-            _, seg_result = self.load_seg_result(result["image_id"])
-            result['seg_result'] = seg_result
-            # 判断缓存和实际图片size是否相同
-            if not _ or result["image"].shape[:2] != seg_result.shape:
+            # design信号判断 preview 不保存seg缓存
+            if "preview_submit" in result.keys() and result['preview_submit'] == "preview":
                 # 推理获得seg 结果
                 seg_result = get_seg_result(result["image_id"], result['image'])[0]
-                self.save_seg_result(seg_result, result['image_id'])
+            else:
+                # 本地查询seg 缓存是否存在
+                _, seg_result = self.load_seg_result(result["image_id"])
+                # 判断缓存和实际图片size是否相同
+                if not _ or result["image"].shape[:2] != seg_result.shape:
+                    # 推理获得seg 结果
+                    seg_result = get_seg_result(result["image_id"], result['image'])[0]
+                    self.save_seg_result(seg_result, result['image_id'])
+            result['seg_result'] = seg_result
+
             # 处理前片后片
             temp_front = seg_result == 1.0
             result['front_mask'] = (255 * (temp_front + 0).astype(np.uint8))