diff --git a/Apps/XinDianTu/Config/Setting.py b/Apps/XinDianTu/Config/Setting.py
index 1296957..eb15266 100644
--- a/Apps/XinDianTu/Config/Setting.py
+++ b/Apps/XinDianTu/Config/Setting.py
@@ -1,7 +1,7 @@
 
 # 采集配置
 SCROLL_DISTANCE_RATIO = 0.5
-MAX_STATIONS_COUNT = 20
+MAX_STATIONS_COUNT = 1
 FIRST_RUN_ONLY_ONE_STATION = False
 REDIS_STATION_EXPIRE = 120
 DATA_RETENTION_DAYS = 365
diff --git a/Apps/XinDianTu/Config/__pycache__/Setting.cpython-310.pyc b/Apps/XinDianTu/Config/__pycache__/Setting.cpython-310.pyc
index 0fef9dc..91bcf77 100644
Binary files a/Apps/XinDianTu/Config/__pycache__/Setting.cpython-310.pyc and b/Apps/XinDianTu/Config/__pycache__/Setting.cpython-310.pyc differ
diff --git a/Apps/XinDianTu/ReadImageKit.py b/Apps/XinDianTu/ReadImageKit.py
index 125c87f..ac58407 100644
--- a/Apps/XinDianTu/ReadImageKit.py
+++ b/Apps/XinDianTu/ReadImageKit.py
@@ -1,5 +1,5 @@
 import numpy as np
-from PIL import Image
+from PIL import Image, ImageDraw
 import os
 import asyncio
 import hashlib
@@ -156,10 +156,28 @@ class ReadImageKit:
                 norm_point = result["close_point"]
                 x = int(norm_point[0] / 1000 * primary_width)
                 y = int(norm_point[1] / 1000 * primary_height)
+                ad_type = result.get("ad_type", "unknown")
+                if ad_type == "rabbit":
+                    offset_y = int(primary_height * 0.05)
+                    offset_x = int(primary_width * 0.014)
+                    y = min(primary_height - 1, y + offset_y)
+                    x = min(primary_width - 1, x + offset_x)
+                try:
+                    os.makedirs(TEMP_IMAGE_DIR, exist_ok=True)
+                    img = Image.open(image_path).convert("RGB")
+                    draw = ImageDraw.Draw(img)
+                    r = max(6, int(primary_height * 0.012))
+                    draw.ellipse((x - r, y - r, x + r, y + r), outline="red", width=4)
+                    base = os.path.basename(image_path)
+                    debug_path = os.path.join(TEMP_IMAGE_DIR, f"debug_click_{base}")
+                    img.save(debug_path)
+                    logger.info(f"保存广告关闭按钮点击预览图: {debug_path}")
+                except Exception as e:
+                    logger.warning(f"保存广告关闭按钮点击预览图失败: {e}")
                 return {
                     "x": x,
                     "y": y,
-                    "ad_type": result.get("ad_type", "unknown")
+                    "ad_type": ad_type
                 }
 
         except Exception as e:
@@ -171,6 +189,18 @@ class ReadImageKit:
             norm_point = cv_rabbit_point
             x = int(norm_point[0] * primary_width)
             y = int(norm_point[1] * primary_height)
+            try:
+                os.makedirs(TEMP_IMAGE_DIR, exist_ok=True)
+                img = Image.open(image_path).convert("RGB")
+                draw = ImageDraw.Draw(img)
+                r = max(6, int(primary_height * 0.012))
+                draw.ellipse((x - r, y - r, x + r, y + r), outline="red", width=4)
+                base = os.path.basename(image_path)
+                debug_path = os.path.join(TEMP_IMAGE_DIR, f"debug_click_{base}")
+                img.save(debug_path)
+                logger.info(f"保存广告关闭按钮点击预览图(CV): {debug_path}")
+            except Exception as e:
+                logger.warning(f"保存广告关闭按钮点击预览图(CV)失败: {e}")
             return {"x": x, "y": y, "ad_type": "rabbit"}
 
         return None
diff --git a/Apps/XinDianTu/__pycache__/ReadImageKit.cpython-310.pyc b/Apps/XinDianTu/__pycache__/ReadImageKit.cpython-310.pyc
index 0f29acd..e089233 100644
Binary files a/Apps/XinDianTu/__pycache__/ReadImageKit.cpython-310.pyc and b/Apps/XinDianTu/__pycache__/ReadImageKit.cpython-310.pyc differ
diff --git a/Tools/T_DebugRabbitOffset.py b/Tools/T_DebugRabbitOffset.py
new file mode 100644
index 0000000..f720f8c
--- /dev/null
+++ b/Tools/T_DebugRabbitOffset.py
@@ -0,0 +1,74 @@
+import os
+from PIL import Image, ImageDraw
+
+BASE_IMAGE = r"d:\dsWork\aiData\Output\debug_click_a0819f84-4174-4d71-ae52-71dc9631b93d.jpg"
+OUTPUT_DIR = r"d:\dsWork\aiData\Output\debug_offset_candidates"
+BEST_DY = -30
+
+
+def find_red_circle_center(img):
+    w, h = img.size
+    pixels = img.load()
+    xs = []
+    ys = []
+    y_start = int(h * 0.5)
+    y_end = h
+    x_start = 0
+    x_end = int(w * 0.5)
+    for y in range(y_start, y_end):
+        for x in range(x_start, x_end):
+            r, g, b = pixels[x, y]
+            if r > 230 and g < 40 and b < 40:
+                xs.append(x)
+                ys.append(y)
+    if not xs:
+        raise RuntimeError("未在图像中找到红色圆圈像素")
+    cx = sum(xs) / len(xs)
+    cy = sum(ys) / len(ys)
+    return int(cx), int(cy)
+
+
+def generate_vertical_candidates():
+    if not os.path.exists(BASE_IMAGE):
+        raise FileNotFoundError(BASE_IMAGE)
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    img = Image.open(BASE_IMAGE).convert("RGB")
+    cx, cy = find_red_circle_center(img)
+    w, h = img.size
+    radius = max(6, int(h * 0.012))
+    offsets = [-40, -30, -20, -10, -5, 0, 5, 10, 15, 20]
+    for dy in offsets:
+        img2 = img.copy()
+        draw = ImageDraw.Draw(img2)
+        y2 = max(radius, min(h - radius - 1, cy + dy))
+        draw.ellipse((cx - radius, y2 - radius, cx + radius, y2 + radius), outline="lime", width=3)
+        name = f"candidate_dy_{dy}.jpg"
+        path = os.path.join(OUTPUT_DIR, name)
+        img2.save(path)
+        print(path)
+
+
+def generate_horizontal_candidates():
+    if not os.path.exists(BASE_IMAGE):
+        raise FileNotFoundError(BASE_IMAGE)
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    img = Image.open(BASE_IMAGE).convert("RGB")
+    cx, cy = find_red_circle_center(img)
+    w, h = img.size
+    radius = max(6, int(h * 0.012))
+    y2 = max(radius, min(h - radius - 1, cy + BEST_DY))
+    offsets = [-30, -20, -10, -5, 0, 5, 10, 20, 30]
+    for dx in offsets:
+        img2 = img.copy()
+        draw = ImageDraw.Draw(img2)
+        x2 = max(radius, min(w - radius - 1, cx + dx))
+        draw.ellipse((x2 - radius, y2 - radius, x2 + radius, y2 + radius), outline="cyan", width=3)
+        name = f"candidate_dx_{dx}.jpg"
+        path = os.path.join(OUTPUT_DIR, name)
+        img2.save(path)
+        print(path)
+
+
+if __name__ == "__main__":
+    generate_vertical_candidates()
+    generate_horizontal_candidates()
diff --git a/Tools/T_DebugRightAdOffset.py b/Tools/T_DebugRightAdOffset.py
new file mode 100644
index 0000000..4f99fe9
--- /dev/null
+++ b/Tools/T_DebugRightAdOffset.py
@@ -0,0 +1,30 @@
+import os
+from PIL import Image, ImageDraw
+
+BASE_IMAGE = r"d:\dsWork\aiData\Output\Screenshot_20260116_223152.jpg"
+OUTPUT_DIR = r"d:\dsWork\aiData\Output\debug_right_ad_candidates"
+
+
+def generate_vertical_candidates():
+    if not os.path.exists(BASE_IMAGE):
+        raise FileNotFoundError(BASE_IMAGE)
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    img = Image.open(BASE_IMAGE).convert("RGB")
+    w, h = img.size
+    base_x = int(w * 0.88)
+    ratios = [0.60, 0.64, 0.68, 0.70, 0.72, 0.74, 0.76, 0.78, 0.80, 0.83, 0.84]
+    radius = max(6, int(h * 0.012))
+    for r in ratios:
+        y = int(h * r)
+        y = max(radius, min(h - radius - 1, y))
+        img2 = img.copy()
+        draw = ImageDraw.Draw(img2)
+        draw.ellipse((base_x - radius, y - radius, base_x + radius, y + radius), outline="cyan", width=3)
+        name = f"right_candidate_y_{int(r*100)}.jpg"
+        path = os.path.join(OUTPUT_DIR, name)
+        img2.save(path)
+        print(path)
+
+
+if __name__ == "__main__":
+    generate_vertical_candidates()