diff --git a/average.py b/average.py
index 67d1eea..c9b33d4 100644
--- a/average.py
+++ b/average.py
@@ -3,14 +3,16 @@ import json
 import ray
 
 @ray.remote
-class step(algorithm):
+class average(algorithm):
     def __init__(self):
         self.config_dict_ = None
         self.config_ = None
         self.average_number_ = 10
         self.present_number_ = 0
         self.window_1_ = []
-        self.window_2_ = []
+        self.sum = 0
+        self.average = 0
+
 
     def set_config(self, config):
         self.config_ = config
@@ -24,7 +26,12 @@ class step(algorithm):
         self.present_number_ = len(self.window_1_)
         if self.present_number_ < self.average_number_:
             self.window_1_.append(value)
-            self.window_2_.append(value)
             return
         else:
-            return value * self.amplitude_base_
+            self.sum = 0
+            for i in self.window_1_:
+                self.sum = self.sum + i
+            self.average = self.sum / len(self.window_1_)
+            del self.window_1_[0]
+            self.window_1_.append(value)
+            return self.average
diff --git a/average_test_csv.py b/average_test_csv.py
new file mode 100644
index 0000000..c922074
--- /dev/null
+++ b/average_test_csv.py
@@ -0,0 +1,29 @@
+import pandas as pd
+from average import average
+import ray
+
+ray.init()
+filepath = "D:/python_project_data/1.csv"
+origin_data = pd.read_csv(filepath)
+row_len = origin_data.shape[0]
+cow_len = origin_data.shape[1]
+average_data = origin_data
+algorithm_average = average.remote()
+
+cow_name = "G1.TTXD1_3"
+contrast_data = pd.DataFrame()
+contrast_data[cow_name+'_origin'] = origin_data[cow_name]
+algorithm_average.set_config.remote('{"AVERAGE_NUMBER": 5 }')
+# algorithm_step.set_config('{"CYCLE_TIME_BASE": 5 }')
+for i in range(0,row_len):
+    futures=algorithm_average.eval.remote(origin_data.loc[i,cow_name])
+    average_data.loc[i,cow_name]=ray.get(futures)
+
+print(average_data.loc[:,cow_name])
+contrast_data[cow_name+'_average'] = average_data[cow_name]
+# average_data.to_csv("D:/python_project_data/1_disturb.csv", index=False)
+contrast_data.to_csv("D:/python_project_data/average_data.csv", index=False)
+
+
+# 以下均为测试性能用
+# print(algorithm_step.config_)
\ No newline at end of file