diff --git a/main.py b/main.py
index 2a9c50e..06c9a75 100644
--- a/main.py
+++ b/main.py
@@ -213,8 +213,12 @@ while True:
             move_to(rw, mb)
             continue
         elif detections['npc4'] is not None:
-            if sq(detections['npc4'], rw) < 50:
-                print("离npc4很近 直接进入")
+            npc4_pos = detections['npc4']
+            current_distance = sq(npc4_pos, rw)
+            
+            # 如果已经非常接近，直接进入
+            if current_distance < 30:
+                print(f"离npc4很近 (距离={current_distance:.1f})，直接进入")
                 keyboard.send_data("DD")
                 time.sleep(0.15)
                 keyboard.release()
@@ -227,18 +231,132 @@ while True:
                     mouse_gui.send_data_absolute(rw[0], rw[1] - 110, may=1)
                     time.sleep(1)
                 continue
-            else:
-                print("离npc4有点远 点击进入")
-                move_to(rw, detections['npc4'])
+            
+            # 循环靠近npc4，直到足够接近或达到最大尝试次数
+            print(f"开始靠近npc4，当前距离={current_distance:.1f}")
+            max_attempts = 15  # 最大尝试次数
+            attempt = 0
+            last_distance = current_distance
+            stuck_count = 0  # 卡住计数器
+            
+            while attempt < max_attempts:
+                attempt += 1
+                
+                # 重新获取当前位置和npc4位置
+                im_opencv = get_image.get_frame()
+                if im_opencv is None:
+                    print("⚠️ 无法获取图像帧")
+                    break
+                
+                detections_temp = {
+                    'center': None, 'next': None,
+                    'npc1': None, 'npc2': None, 'npc3': None, 'npc4': None,
+                    'boss': None, 'zhaozi': None,
+                    'daojv': [], 'gw': []
+                }
+                detections_temp = yolo_shibie(im_opencv[1], detections_temp, model0)
+                
+                # 如果npc4丢失，重新检测
+                if detections_temp['npc4'] is None:
+                    print(f"⚠️ npc4丢失，重新检测 (尝试 {attempt}/{max_attempts})")
+                    time.sleep(0.5)
+                    continue
+                
+                npc4_pos = detections_temp['npc4']
+                current_distance = sq(npc4_pos, rw)
+                
+                print(f"  尝试 {attempt}/{max_attempts}: 距离npc4={current_distance:.1f}")
+                
+                # 如果已经足够接近，退出循环
+                if current_distance < 35:
+                    print(f"✅ 已足够接近npc4 (距离={current_distance:.1f})")
+                    break
+                
+                # 检测是否卡住（距离不再减小）
+                if abs(current_distance - last_distance) < 5:
+                    stuck_count += 1
+                    if stuck_count >= 3:
+                        print(f"⚠️ 检测到卡住，尝试微调移动")
+                        # 尝试向npc4方向微调
+                        dx = npc4_pos[0] - rw[0]
+                        dy = npc4_pos[1] - rw[1]
+                        # 计算方向向量，但只移动一小段距离
+                        step_size = 50  # 小步移动
+                        distance_to_move = min(step_size, current_distance * 0.3)
+                        if abs(dx) > abs(dy):
+                            # 主要横向移动
+                            target_x = rw[0] + int(dx / abs(dx) * distance_to_move) if dx != 0 else rw[0]
+                            target_y = rw[1]
+                        else:
+                            # 主要纵向移动
+                            target_x = rw[0]
+                            target_y = rw[1] + int(dy / abs(dy) * distance_to_move) if dy != 0 else rw[1]
+                        mb = (target_x, target_y)
+                        move_to(rw, mb)
+                        time.sleep(0.3)
+                        stuck_count = 0
+                    else:
+                        # 正常移动，但使用小步长
+                        step_size = min(80, current_distance * 0.4)  # 移动距离为目标距离的40%，最多80像素
+                        dx = npc4_pos[0] - rw[0]
+                        dy = npc4_pos[1] - rw[1]
+                        # 归一化方向向量
+                        if abs(dx) > 0.1 or abs(dy) > 0.1:
+                            direction_mag = math.sqrt(dx*dx + dy*dy)
+                            target_x = rw[0] + int(dx / direction_mag * step_size)
+                            target_y = rw[1] + int(dy / direction_mag * step_size)
+                            mb = (target_x, target_y)
+                            move_to(rw, mb)
+                            time.sleep(0.2)  # 短暂等待，让角色移动
+                else:
+                    # 距离在减小，正常移动
+                    stuck_count = 0
+                    step_size = min(100, current_distance * 0.5)  # 移动距离为目标距离的50%，最多100像素
+                    dx = npc4_pos[0] - rw[0]
+                    dy = npc4_pos[1] - rw[1]
+                    # 归一化方向向量
+                    if abs(dx) > 0.1 or abs(dy) > 0.1:
+                        direction_mag = math.sqrt(dx*dx + dy*dy)
+                        target_x = rw[0] + int(dx / direction_mag * step_size)
+                        target_y = rw[1] + int(dy / direction_mag * step_size)
+                        mb = (target_x, target_y)
+                        move_to(rw, mb)
+                        time.sleep(0.2)  # 短暂等待，让角色移动
+                
+                last_distance = current_distance
+                
+                # 短暂延迟，让角色位置更新
+                time.sleep(0.3)
+            
+            # 移动完成后，检查是否可以进入
+            final_distance = sq(npc4_pos, rw)
+            print(f"靠近完成，最终距离={final_distance:.1f}")
+            
+            if final_distance < 50:
+                print("距离足够近，尝试进入")
+                keyboard.send_data("DD")
+                time.sleep(0.15)
+                keyboard.release()
                 time.sleep(1)
-                im_opencv = get_image.get_frame()  # [RGB,PIL]
+                im_opencv = get_image.get_frame()
                 if im_opencv is None:
                     print("⚠️ 无法获取图像帧")
                     continue
                 if shizi.daoying(im_opencv[0]):
                     mouse_gui.send_data_absolute(rw[0], rw[1] - 110, may=1)
                     time.sleep(1)
-                continue
+            else:
+                print(f"⚠️ 未能足够接近npc4 (距离={final_distance:.1f})，尝试点击进入")
+                move_to(rw, npc4_pos)
+                time.sleep(1)
+                im_opencv = get_image.get_frame()
+                if im_opencv is None:
+                    print("⚠️ 无法获取图像帧")
+                    continue
+                if shizi.daoying(im_opencv[0]):
+                    mouse_gui.send_data_absolute(rw[0], rw[1] - 110, may=1)
+                    time.sleep(1)
+            continue
     elif shizi.tiaozhan(im_opencv[0]):  # 开启挑战
         print('进入塔4')
         mouse_gui.send_data_absolute(left + 1100, top + 600, may=1)