diff --git a/tools/cal_weight.py b/tools/cal_weight.py
index 0194643..2cd5bbd 100644
--- a/tools/cal_weight.py
+++ b/tools/cal_weight.py
@@ -6,6 +6,7 @@ else:
     sys.path.append('/data/deploy/make3d/make2/libs/')
     
 import config, libs, libs_db
+import pandas as pd
 
 def bmesh_copy_from_object(obj, transform=True, triangulate=True, apply_modifiers=False):
     """Returns a transformed, triangulated copy of the mesh"""
@@ -73,11 +74,31 @@ def main(action, pid, sizes,orderId=0):
     bpy.ops.object.transform_apply(location=True, rotation=True, scale=True)
     print(f'模型{pid}的体积与克重估算信息:')
     arrData = {}
+    excel_file = 'weights.xlsx'  # 替换为你的文件路径
+    df = pd.read_excel(excel_file)
+    new_data = {
+        'pid': [pid],  # 假设新的 pid 是 '002'
+        '6cm': [0],     # 新的 6cm 数据
+        '7cm': [0],     # 新的 7cm 数据
+        '8cm': [0],     # 新的 8cm 数据
+    }
+    
     for size in sizes:
         size = float(size)
         weight = cal_weight(obj, size)
         size = str(size/10)+"cm"
         arrData[size] = str(weight)+"g"
+        
+        if size+"cm" in df.columns:
+            new_data[size+"cm"] = [weight]
+    
+    # 更新数据
+    # 将新数据转换为 DataFrame
+    new_df = pd.DataFrame(new_data)
+    # 将新数据附加到原始 DataFrame 中
+    df = pd.concat([df, new_df], ignore_index=True)
+    # 保存更新后的 Excel 文件
+    df.to_excel(excel_file, index=False)
     
     #请求接口进行更新数据
     arrParams = {"pid":pid,"order_id":orderId}
diff --git a/tools/weights.xlsx b/tools/weights.xlsx
new file mode 100644
index 0000000..90f7032
Binary files /dev/null and b/tools/weights.xlsx differ