优化非六轴电机电流数据处理

codes/analysis/current.py

@@ -1,4 +1,5 @@
 import json
+import os
 import openpyxl
 import pandas
 import re
@@ -189,7 +190,7 @@ class CurrentDataProcess(QThread):
                     continue
                 else:
                     # one more time，如果连续两次 200 个点的平均值都小于 threshold，说明已经到了临界点了（其实也不一定，只不过相对遇到一次就判定临界点更安全一点点）
-                    # 从实际数据看，这开逻辑很小概率能触发到
+                    # 从实际数据看，这个逻辑很小概率能触发到
                     speed_avg = df.iloc[row_s-end_point*skip_scale:row_e-end_point*skip_scale].abs().mean()
                     if speed_avg > threshold:
                         clibs.logger("WARNING", "current", f"【gt】{axis} 轴第 {seq} 次查找数据可能有异常，row_s = {row_s}, row_e = {row_e}！", "purple")
@@ -422,7 +423,12 @@ class CurrentDataProcess(QThread):
             r_max_t = configs["TRANSMISSION"]["MAX_PEAK_TORQUE"]  # 减速器瞬时最大转矩
             r_avg_t = configs["TRANSMISSION"]["MAX_AVERAGE_TORQUE"]  # 减速器平均负载转矩允许最大值
 
-            clibs.logger("INFO", "current", f"get_configs: 机型文件版本 {config_file}_{version}")
+            m_params = [r_rrs, m_avs, m_stall_ts, m_rts, m_max_ts, m_r_rpms, m_max_rpms, r_max_sst, r_max_t, r_avg_t]
+            for _ in m_params:
+                if len(_) < 6:
+                    for idx in range(6-len(_)):
+                        _.append(1000)
+            clibs.logger("INFO", "current", f"get_configs: 机型文件版本 {os.path.basename(config_file.removesuffix('.cfg'))}_{version}")
             clibs.logger("INFO", "current", f"get_configs: 减速比 {r_rrs}")
             clibs.logger("INFO", "current", f"get_configs: 额定转矩 {m_rts}")
             clibs.logger("INFO", "current", f"get_configs: 最大角速度 {m_avs}")