diff --git a/aio/assets/templates/durable/durable_data_current.xlsx b/aio/assets/templates/durable/durable_data_current.xlsx
index 0cb184a..7a7f763 100644
Binary files a/aio/assets/templates/durable/durable_data_current.xlsx and b/aio/assets/templates/durable/durable_data_current.xlsx differ
diff --git a/aio/assets/templates/durable/durable_data_current_max.xlsx b/aio/assets/templates/durable/durable_data_current_max.xlsx
index f408976..a9e1e5f 100644
Binary files a/aio/assets/templates/durable/durable_data_current_max.xlsx and b/aio/assets/templates/durable/durable_data_current_max.xlsx differ
diff --git a/aio/code/durable_action/factory_test.py b/aio/code/durable_action/factory_test.py
index cb6e157..3dc30e6 100644
--- a/aio/code/durable_action/factory_test.py
+++ b/aio/code/durable_action/factory_test.py
@@ -7,6 +7,7 @@ from time import sleep, time, strftime, localtime
 from pandas import DataFrame
 from openpyxl import load_workbook
 from math import sqrt
+from numpy import power
 
 tab_name = 'Durable Action'
 count = 0
@@ -215,7 +216,6 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
     #         f_obj.write(f"{_}\n")
 
     _d2d_trq = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
-    _d2d_trq_max = {0: [], 1: [], 2: [], 3: [], 4: [], 5: []}
 
     for line in _data_list:
         for item in line['data']:
@@ -225,14 +225,24 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
                     _d2d_trq[i].extend(item['value'])
 
         if len(_d2d_trq[0]) / 1000 > scenario_time + 1:
+            this_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()))
+            next_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()+wait_time+10+scenario_time)).split()[-1]
             _df = DataFrame(_d2d_trq)
             for i in range(6):
-                _ = sqrt(100*_df[i].apply(lambda x: (rcs[i]*x/10000)**2).sum()/len(_df[i]))
+                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(_)
+                del data[0]['time'][0]
+                data[0]['time'].append(next_time)
                 _ = rcs[i] * _df[i].abs().max() / 1000
                 del data[1][f"axis{i + 1}"][0]
                 data[1][f"axis{i + 1}"].append(_)
+                del data[1]['time'][0]
+                data[1]['time'].append(this_time.split()[-1])
             _df_1 = DataFrame(data[0])
             _df_2 = DataFrame(data[1])
 
@@ -247,13 +257,11 @@ def get_durable_data(path, data, scenario_time, wait_time, rcs, hr, w2t):
                     sleep(1)
             global count
             count += 1
-            this_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()))
-            next_time = strftime("%Y-%m-%d %H:%M:%S", localtime(time()+wait_time+10+scenario_time)).split()[-1]
             w2t(f"[{this_time}] 当前次数：{count:09d}  |  预计下次数据更新时间：{next_time}", 0, 0, '#008B8B', tab_name)
             break
     else:
         with open(f'{path}\\device_servo_trq_feedback_0.txt', 'w', encoding='utf-8') as f_obj:
-            for _ in _d2d_trq['device_servo_trq_feedback_0']:
+            for _ in _d2d_trq[0]:
                 f_obj.write(f"{_}\n")
         w2t("采集的数据时间长度不够，需要确认。", 0, 2, 'red', tab_name)