diff --git a/utils/excel_converter.py b/utils/excel_converter.py
index 8e6d2a3..158539c 100644
--- a/utils/excel_converter.py
+++ b/utils/excel_converter.py
@@ -46,10 +46,6 @@ class ExcelConverter:
         if output_file:
             output_file = self._handle_output_file(output_file)
 
-        self._print("=" * 80)
-        self._print("开始转换 Excel 数据")
-        self._print("=" * 80)
-
         # 读取工作表
         wb = openpyxl.load_workbook(input_file)
         ws = wb.active
@@ -57,44 +53,22 @@ class ExcelConverter:
         # 解析订单数据
         orders = self._parse_sheet(ws)
 
-        self._print(f"\n\n共解析到 {len(orders)} 个订单")
-
-        # 打印每个订单的摘要
-        for i, order in enumerate(orders, 1):
-            order_info = order['order_info']
-            materials = order['materials']
-            self._print(f"\n订单 {i}:")
-            self._print(f"  备料计划单号: {order_info.get('备料计划单号', 'N/A')}")
-            self._print(f"  来源单号: {order_info.get('来源单号', 'N/A')}")
-            self._print(f"  产品编码: {order_info.get('产品编码', 'N/A')}")
-            self._print(f"  产品名称: {order_info.get('产品名称', 'N/A')}")
-            self._print(f"  产品计划数量: {order_info.get('产品计划数量', 'N/A')}")
-            self._print(f"  物料数量: {len(materials)}")
-
         # 转换为 DataFrame
         df = self._convert_to_dataframe(orders)
 
-        self._print(f"\n转换后的数据形状: {df.shape}")
-
         if not df.empty:
-            self._print(f"列名: {list(df.columns)}")
-
             # 保存文件
             if output_file:
                 df.to_excel(output_file, index=False)
-                self._print(f"\n数据已保存到: {output_file}")
 
-                # 显示前几行数据
-                self._print("\n数据预览:")
-                pd.set_option('display.max_columns', None)
-                pd.set_option('display.width', 200)
-                pd.set_option('display.max_colwidth', 30)
-                self._print(df.head(20))
-                pd.reset_option('display.max_columns')
-                pd.reset_option('display.width')
-                pd.reset_option('display.max_colwidth')
-        else:
-            self._print("警告: 没有数据可保存")
+        # 打印汇总报告
+        self._print("=" * 60)
+        self._print("转换完成")
+        self._print("=" * 60)
+        self._print(f"订单数: {len(orders)}")
+        self._print(f"数据行数: {len(df)}")
+        self._print(f"输出文件: {output_file if output_file else 'N/A'}")
+        self._print("=" * 60)
 
         return df
 
@@ -135,13 +109,6 @@ class ExcelConverter:
         orders = []
         all_rows = list(ws.iter_rows(values_only=True))
 
-        # 查找所有空行，用于分割订单
-        empty_rows = [i for i, row in enumerate(all_rows)
-                     if all(cell is None or str(cell).strip() == "" for cell in row)]
-
-        self._print(f"检测到空行索引: {empty_rows}")
-        self._print(f"总行数: {len(all_rows)}")
-
         # 逐行扫描，按订单结构解析
         i = 0
         while i < len(all_rows):
@@ -149,16 +116,12 @@ class ExcelConverter:
 
             # 检查是否是订单标题行
             if row and '离散备料计划' in str(row[0]):
-                self._print(f"\n在行 {i + 1} 发现订单标题")
-
                 # 解析订单头信息（接下来的4行）
                 order_info = {}
                 for j in range(1, 5):
                     if i + j < len(all_rows) and all_rows[i + j]:
                         self._parse_header_row(all_rows[i + j], order_info)
 
-                self._print(f"订单头信息: {order_info}")
-
                 # 跳过空行，找到表格标题行
                 table_row = i + 5
                 while table_row < len(all_rows) and (not all_rows[table_row] or not all_rows[table_row][0]):
@@ -166,8 +129,6 @@ class ExcelConverter:
 
                 # 检查是否是表格标题行
                 if table_row < len(all_rows) and all_rows[table_row] and all_rows[table_row][0] == '序号':
-                    self._print(f"在行 {table_row + 1} 发现表格标题")
-
                     # 检查表头下一行是否为空，判断是否存在数据
                     next_row = table_row + 1
                     is_empty_row = (next_row < len(all_rows) and
@@ -175,18 +136,15 @@ class ExcelConverter:
                                   all(cell is None or str(cell).strip() == "" for cell in all_rows[next_row]))
 
                     if is_empty_row:
-                        self._print(f"表头下没有数据")
                         # 没有数据，查找页脚信息
                         materials = []
                         footer_info = {}
                         data_row = next_row + 1
                         while data_row < len(all_rows) and all_rows[data_row]:
                             if all_rows[data_row][0] and ('制单人' in str(all_rows[data_row][0]) or '打印人' in str(all_rows[data_row][0])):
-                                self._print(f"在行 {data_row + 1} 发现页脚信息")
                                 self._parse_header_row(all_rows[data_row], footer_info)
                                 if data_row + 1 < len(all_rows) and all_rows[data_row + 1]:
                                     self._parse_header_row(all_rows[data_row + 1], footer_info)
-                                self._print(f"页脚信息: {footer_info}")
                                 break
                             data_row += 1
 
@@ -196,20 +154,17 @@ class ExcelConverter:
                         })
                     else:
                         # 有数据，开始提取物料
-                        self._print(f"表头下有数据")
                         materials = []
                         footer_info = {}  # 页脚信息
                         data_row = table_row + 1
                         while data_row < len(all_rows) and all_rows[data_row]:
                             # 检查是否是页脚信息（制单人、打印人）
                             if all_rows[data_row][0] and ('制单人' in str(all_rows[data_row][0]) or '打印人' in str(all_rows[data_row][0])):
-                                self._print(f"在行 {data_row + 1} 发现页脚信息")
                                 # 解析页脚信息
                                 self._parse_header_row(all_rows[data_row], footer_info)
                                 # 检查下一行是否也是页脚信息
                                 if data_row + 1 < len(all_rows) and all_rows[data_row + 1]:
                                     self._parse_header_row(all_rows[data_row + 1], footer_info)
-                                self._print(f"页脚信息: {footer_info}")
                                 break
 
                             # 提取物料数据
@@ -230,12 +185,9 @@ class ExcelConverter:
                                 '累计出库数量': material_row[12],
                             }
                             materials.append(material)
-                            self._print(f"  添加物料: {material['材料编码']} - {material['材料名称']}")
 
                             data_row += 1
 
-                        self._print(f"共解析到 {len(materials)} 条物料数据")
-
                         orders.append({
                             'order_info': {**order_info, **footer_info},
                             'materials': materials
diff --git a/utils/离散备料计划维护数据提取.py b/utils/离散备料计划维护数据提取.py
index a36a48d..27c0062 100644
--- a/utils/离散备料计划维护数据提取.py
+++ b/utils/离散备料计划维护数据提取.py
@@ -202,7 +202,7 @@ class DiscreteMaterialPlanExtractor:
             self._print("=" * 80)
 
             # 登录成功后可以进行后续操作
-            # 点击打开"菜单"
+            # 点击打开"功能菜单"
             main_frame.locator("i").first.click()
 
             # 点击打开"离散备料计划维护"