diff --git a/func/Module_resp_quality_label.py b/func/Module_resp_quality_label.py
index d4f5956..530ed20 100644
--- a/func/Module_resp_quality_label.py
+++ b/func/Module_resp_quality_label.py
@@ -12,6 +12,7 @@ from matplotlib.backends.backend_qtagg import FigureCanvasQTAgg
 from numpy import array, full, int64, append, zeros, where, arange, float64, nan, place, delete, setdiff1d
 from overrides import overrides
 from pandas import read_csv, DataFrame
+from pandas.errors import EmptyDataError
 from scipy.signal import find_peaks, resample
 from yaml import dump, load, FullLoader
 
@@ -1016,6 +1017,7 @@ class MainWindow_resp_quality_label(QMainWindow):
                                Constants.TIPS_TYPE_INFO)
         result = self.data.save_resp_quality_label()
         self.update_tableWidget()
+        self.update_info()
         if not result.status:
             PublicFunc.text_output(self.ui, result.info, Constants.TIPS_TYPE_ERROR)
             PublicFunc.msgbox_output(self, result.info, Constants.MSGBOX_TYPE_ERROR)
@@ -1559,16 +1561,21 @@ class Data():
             return Result().success(info=Filename.RESP_QUALITY_LABEL + "：" + Constants.ARCHIVE_EXIST)
 
     def get_archive_tho_peak(self):
-        if not Path(Config["Path"]["Save_Tho_peak"]).exists():
+        try:
+            if not Path(Config["Path"]["Save_Tho_peak"]).exists():
+                self.Tho_peak = array([]).astype(int)
+                self.Tho_peak_y = array([]).astype(int)
+                return Result().success(info=Filename.RESP_QUALITY_LABEL + "：" + Constants.ARCHIVE_NOT_EXIST)
+            else:
+                self.Tho_peak = read_csv(Config["Path"]["Save_Tho_peak"],
+                                         encoding=Params.UTF8_ENCODING,
+                                         header=None).to_numpy().reshape(-1)
+
+                return Result().success(info=Filename.THO_PEAK + "：" + Constants.ARCHIVE_EXIST)
+        except EmptyDataError as e:
             self.Tho_peak = array([]).astype(int)
             self.Tho_peak_y = array([]).astype(int)
-            return Result().success(info=Filename.RESP_QUALITY_LABEL + "：" + Constants.ARCHIVE_NOT_EXIST)
-        else:
-            self.Tho_peak = read_csv(Config["Path"]["Save_Tho_peak"],
-                                     encoding=Params.UTF8_ENCODING,
-                                     header=None).to_numpy().reshape(-1)
-
-            return Result().success(info=Filename.THO_PEAK + "：" + Constants.ARCHIVE_EXIST)
+            return Result().success(info=Filename.RESP_QUALITY_LABEL + "：" + Constants.ARCHIVE_EMPTY)
 
     def resample_tho_and_OrgBCG(self):
         if (self.OrgBCG is None) or (self.Tho is None):
diff --git a/func/utils/Constants.py b/func/utils/Constants.py
index c6f57aa..40236c8 100644
--- a/func/utils/Constants.py
+++ b/func/utils/Constants.py
@@ -33,6 +33,7 @@ class Constants:
     LOADING_ARCHIVE: str = "正在获取历史存档"
     ARCHIVE_EXIST: str = "找到历史存档，成功读取"
     ARCHIVE_NOT_EXIST: str = "未找到历史存档，创建新存档"
+    ARCHIVE_EMPTY: str = "历史存档为空，创建新存档"
 
     DRAWING_DATA: str = "正在绘制图形"
     DRAW_FINISHED: str = "绘制完成"