diff --git a/aio/code/aio.py b/aio/code/aio.py
index 4ffc610..565fa86 100644
--- a/aio/code/aio.py
+++ b/aio/code/aio.py
@@ -247,7 +247,7 @@ class App(customtkinter.CTk):
             _ = df['time'].to_list()
             _xticks = [str(_i) for _i in _]
             ax = figure.add_subplot(1, 1, 1)
-            ax.set_xticks(range(1, len(_xticks)+1))
+            ax.set_xticks(range(len(_xticks)))
             ax.set_xticklabels(_xticks)
 
             df.plot(grid=True, x='time', y='axis1', ax=ax)
diff --git a/aio/code/durable_action/factory_test.py b/aio/code/durable_action/factory_test.py
index d114912..17b7d3f 100644
--- a/aio/code/durable_action/factory_test.py
+++ b/aio/code/durable_action/factory_test.py
@@ -8,6 +8,7 @@ from pandas import DataFrame
 from openpyxl import load_workbook
 from math import sqrt
 from numpy import power
+from csv import writer
 
 tab_name = 'Durable Action'
 count = 0
@@ -46,6 +47,10 @@ durable_data_current_max = {
     'axis6': [0 for _ in range(18)],
 }
 data_all = [durable_data_current, durable_data_current_max]
+title = [
+    'time', 'trq-1', 'trq-2', 'trq-3', 'trq-4', 'trq-5', 'trq-6', 'trq-max-1', 'trq-max-2', 'trq-max-3', 'trq-max-4',
+    'trq-max-5', 'trq-max-6'
+]
 
 
 def traversal_files(path, w2t):
@@ -174,6 +179,9 @@ def run_rl(path, config_file, hr, md, w2t):
     _response = execution('diagnosis.set_params', hr, w2t, display_pdo_params=[])
     sleep(1)  # 保证所有数据均已返回
     # 7. 保留数据并处理输出
+    with open(f'{path}\\results.csv', mode='a+', newline='') as f_csv:
+        csv_writer = writer(f_csv)
+        csv_writer.writerow(title)
     _wb = load_workbook(config_file, read_only=True)
     _ws = _wb['Target']
     wait_time = float(_ws.cell(row=2, column=10).value)
@@ -229,28 +237,53 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
             next_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()+wait_time+10+scenario_time)).split()[-1]
             _df = DataFrame(_d2d_trq)
             _flg = 0
+            _res = []
             for i in range(6):
+                def overmax_data(df, index, number, flag):
+                    if number > 100:
+                        df.to_excel(f'{path}\\{this_time}.xlsx')
+                        w2t(f"[{this_time}] {flag}-axis-{index} 数据过大错误，需要检查确定。", 0, 0, 'red', tab_name)
+
                 try:
                     _ = sqrt(_df[i].apply(lambda x: power((rcs[i]*x/1000), 2)).sum()/len(_df[i]))
                 except:
                     _df.to_excel(path+"\\err_data.xlsx")
                     w2t(f"{i}calculate error", 0, 11, 'red', tab_name)
-                del data[0][f"axis{i + 1}"][0]
-                data[0][f"axis{i + 1}"].append(_)
-
-                _ = rcs[i] * _df[i].abs().max() / 1000
-                del data[1][f"axis{i + 1}"][0]
-                data[1][f"axis{i + 1}"].append(_)
 
                 if not _flg:
                     del data[0]['time'][0]
                     data[0]['time'].append(this_time.split()[-1])
                     del data[1]['time'][0]
                     data[1]['time'].append(this_time.split()[-1])
+                    _res.append(this_time)
                     _flg = 1
 
+                del data[0][f"axis{i + 1}"][0]
+                overmax_data(_df, i, _, 'trq')
+                data[0][f"axis{i + 1}"].append(_)
+                _res.append(_)
+
+                _ = rcs[i] * _df[i].abs().max() / 1000
+                overmax_data(_df, i, _, 'trq-max')
+                del data[1][f"axis{i + 1}"][0]
+                data[1][f"axis{i + 1}"].append(_)
+                _res.append(_)
+
             _df_1 = DataFrame(data[0])
             _df_2 = DataFrame(data[1])
+            with open(f'{path}\\results.csv', mode='a+', newline='') as f_csv:
+                def change_order(res):
+                    _time = res[0:1]
+                    _trq = []
+                    _trq_max = []
+                    for _item in res[1::2]:
+                        _trq.append(_item)
+                    for _item in res[2::2]:
+                        _trq_max.append(_item)
+                    return _time + _trq + _trq_max
+
+                csv_writer = writer(f_csv)
+                csv_writer.writerow(change_order(_res))
 
             while True:
                 if not hr.durable_lock: