diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..1680434
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diff --git a/mi-scale/.DS_Store b/mi-scale/.DS_Store
new file mode 100644
index 0000000..d443f87
Binary files /dev/null and b/mi-scale/.DS_Store differ
diff --git a/mi-scale/src/Xiaomi_Scale.py b/mi-scale/src/Xiaomi_Scale.py
index 58cf233..45d268e 100644
--- a/mi-scale/src/Xiaomi_Scale.py
+++ b/mi-scale/src/Xiaomi_Scale.py
@@ -274,23 +274,23 @@ class ScanProcessor():
 
         lib = Xiaomi_Scale_Body_Metrics.bodyMetrics(calcweight, height, age, sex, 0)
         message = '{'
-        message += '"weight":' + "{:.2f}".format(weight)
-        message += ',"weight_unit":"' + str(unit) + '"'
-        message += ',"bmi":' + "{:.2f}".format(lib.getBMI())
-        message += ',"basal_metabolism":' + "{:.2f}".format(lib.getBMR())
-        message += ',"visceral_fat":' + "{:.2f}".format(lib.getVisceralFat())
+        message += '"重量":' + "{:.2f}".format(weight)
+        message += ',"重量单位":"' + str(unit) + '"'
+        message += ',"BMI身体质量指数":' + "{:.2f}".format(lib.getBMI())
+        message += ',"基本代谢":' + "{:.2f}".format(lib.getBMR())
+        message += ',"内脏脂肪":' + "{:.2f}".format(lib.getVisceralFat())
 
         if hasImpedance:
             lib = Xiaomi_Scale_Body_Metrics.bodyMetrics(calcweight, height, age, sex, int(miimpedance))
             bodyscale = ['Obese', 'Overweight', 'Thick-set', 'Lack-exerscise', 'Balanced', 'Balanced-muscular', 'Skinny', 'Balanced-skinny', 'Skinny-muscular']
-            message += ',"lean_body_mass":' + "{:.2f}".format(lib.getLBMCoefficient())
-            message += ',"body_fat":' + "{:.2f}".format(lib.getFatPercentage())
-            message += ',"water":' + "{:.2f}".format(lib.getWaterPercentage())
-            message += ',"bone_mass":' + "{:.2f}".format(lib.getBoneMass())
-            message += ',"muscle_mass":' + "{:.2f}".format(lib.getMuscleMass())
-            message += ',"protein":' + "{:.2f}".format(lib.getProteinPercentage())
-            message += ',"body_type":"' + str(bodyscale[lib.getBodyType()]) + '"'
-            message += ',"metabolic_age":' + "{:.0f}".format(lib.getMetabolicAge())
+            message += ',"去脂体重":' + "{:.2f}".format(lib.getLBMCoefficient())
+            message += ',"体脂":' + "{:.2f}".format(lib.getFatPercentage())
+            message += ',"水分":' + "{:.2f}".format(lib.getWaterPercentage())
+            message += ',"骨量":' + "{:.2f}".format(lib.getBoneMass())
+            message += ',"肌肉量":' + "{:.2f}".format(lib.getMuscleMass())
+            message += ',"蛋白质":' + "{:.2f}".format(lib.getProteinPercentage())
+            message += ',"身体类型":"' + str(bodyscale[lib.getBodyType()]) + '"'
+            message += ',"代谢年龄":' + "{:.0f}".format(lib.getMetabolicAge())
 
         message += ',"timestamp":"' + mitdatetime + '"'
         message += '}'