加入声级计，数据对比测试

Result_Cal/MotorExactNoise(jd).csv

+jd,rs
+74.9,71.8
+74.7,71.8
+74.4,71.5
+75.2,71.7
+75.2,71.8
+74.9,71.9
+75.7,71.3
+74.2,71.5
+75.4,71.3
+75.1,72.2

Result_Cal/MotorExactNoise(zt).csv

+zt,rs
+73.9,71.8
+73.9,71.8
+74.1,71.5
+73.4,71.7
+73.3,71.8
+73.8,71.9
+73.8,71.3
+73.5,71.5
+74.4,71.3
+73.1,72.2

Result_Cal/deal_data.py

@@ -2,39 +2,47 @@ import numpy as np
 import pandas as pd
 
 # 传感器的数据
-# data_zt = np.array([115.2, 114.6, 114.7, 114.4, 114.5, 114.1, 114.6, 113.6, 114.6, 114.6, 114.5, 114.5, 114.6, 114.6, 114.7, 114.7, 114.6, 114.7, 114.6, 114.6])
-# data_jd = np.array([109.5, 117.3, 117.3, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117.1, 117, 117.1, 117.1, 117.1, 116.7])
 data_file_Motor_Long = 'MotorLong.csv'
 data_file_1KHz_High = '_1KHz_High.csv'
 data_file_1KHz_Low = '_1KHz_Low.csv'
+data_file_Motor_jd = 'MotorExactNoise(jd).csv'
+data_file_Motor_zt = 'MotorExactNoise(zt).csv'
 
 
 
-data_file = data_file_1KHz_Low
+
+data_file = data_file_Motor_zt
 data = pd.read_csv(data_file)
 data_zt = data['zt'].values
-data_jd = data['jd'].values
+# data_jd = data['jd'].values
+data_rs = data['rs'].values
+
+string_left = 'zt'
+string_right = 'rs'
+data_left = data_zt
+data_right = data_rs
+
 # 计算均值
-mean_zt = np.mean(data_zt)
-mean_jd = np.mean(data_jd)
+mean_zt = np.mean(data_left)
+mean_jd = np.mean(data_right)
 
 # 计算方差
-variance_zt = np.var(data_zt)
-variance_jd = np.var(data_jd)
-variance_between = np.var(data_zt - data_jd)  # 两者之间的方差
+variance_zt = np.var(data_left)
+variance_jd = np.var(data_right)
+variance_between = np.var(data_left - data_right)  # 两者之间的方差
 
 # 计算百分比差异
 percent_diff = np.abs((mean_zt - mean_jd) / ((mean_zt + mean_jd) / 2)) * 100
 
 # 计算最大值和最小值的偏差
-max_deviation = np.abs(np.max(data_zt) - np.max(data_jd))
-min_deviation = np.abs(np.min(data_zt) - np.min(data_jd))
+max_deviation = np.abs(np.max(data_left) - np.max(data_right))
+min_deviation = np.abs(np.min(data_left) - np.min(data_right))
 
 mean_zt, mean_jd, variance_zt, variance_jd, variance_between, percent_diff, max_deviation, min_deviation
-print(f"mean_zt:\t{mean_zt:.2f}")
-print(f"mean_jd:\t{mean_jd:.2f}")
-print(f"variance_zt:\t{variance_zt:.2f}")
-print(f"variance_jd:\t{variance_jd:.2f}")
+print(f"mean_{string_left}:\t{mean_zt:.2f} dB")
+print(f"mean_{string_right}:\t{mean_jd:.2f} dB")
+print(f"variance_{string_left}:\t{variance_zt:.2f}")
+print(f"variance_{string_right}:\t{variance_jd:.2f}")
 print(f"variance_between:\t{variance_between:.2f}")
 print(f"percent_diff:\t{percent_diff:.2f}")
 print(f"max_deviation:\t{max_deviation:.2f}")