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fix: 电机电流异常情况修复

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gitea 2024-12-30 09:04:24 +08:00
parent 14f6d43027
commit 88776c6794
2 changed files with 15 additions and 7 deletions
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2
aio/assets/templates/heartbeat
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@ -1 +1 @@
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1

20
aio/code/data_process/current.py
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@ -249,23 +249,30 @@ def p_single(wb, single, vel, trq, rpms, rrs, w2t):
row_end = _row_e - _adjust
_row_e -= _end_point
_row_s -= _end_point
_row_s, _row_e = find_point(data_file, 'a2', 'gt', df, _row_s, _row_e, w2t, 3, threshold=5, step=_step, end_point=_end_point)
_row_s, _row_e = find_point(data_file, 'a2', 'gt', df, _row_s, _row_e, w2t, 2, threshold=5, step=_step, end_point=_end_point)
# 速度已经快要降为零了，继续寻找下一个速度上升点
_row_middle = _row_s
_row_e -= _end_point
_row_s -= _end_point
_row_s, _row_e = find_point(data_file, 'a3', 'lt', df, _row_s, _row_e, w2t, 3, threshold=5, step=_step, end_point=_end_point)
if abs((_row_s-_row_middle)-(_row_middle-row_end)) > 1000: # 两段相差太大，判定后者较小（很罕见的情况，所以只假设之前遇到的情况，所以可能有bug）
row_end = _row_middle
_row_e -= _end_point
_row_s -= _end_point
_row_s, _row_e = find_point(data_file, 'a4', 'gt', df, _row_s, _row_e, w2t, 4, threshold=5, step=_step, end_point=_end_point)
elif speed_avg > 2:
# 过滤尾部非零无效数据
_row_s, _row_e = find_point(data_file, 'b1', 'gt', df, _row_s, _row_e, w2t, 2, threshold=5, step=_step, end_point=_end_point)
_row_s, _row_e = find_point(data_file, 'b1', 'gt', df, _row_s, _row_e, w2t, 1, threshold=5, step=_step, end_point=_end_point)
# 找到第一个起始点 row_end，继续找到有数据的部分，后面有一段零数据区
row_end = _row_e - _adjust
_row_e -= _end_point
_row_s -= _end_point
_row_s, _row_e = find_point(data_file, 'b2', 'lt', df, _row_s, _row_e, w2t, 4, threshold=5, step=_step, end_point=_end_point)
_row_s, _row_e = find_point(data_file, 'b2', 'lt', df, _row_s, _row_e, w2t, 2, threshold=5, step=_step, end_point=_end_point)
# 目前已经有一点的速度值了，继续往前搜寻下一个速度为零的点
_row_e -= _end_point
_row_s -= _end_point
_row_s, _row_e = find_point(data_file, 'b3', 'gt', df, _row_s, _row_e, w2t, 4, threshold=5, step=_step, end_point=_end_point)
_row_s, _row_e = find_point(data_file, 'b3', 'gt', df, _row_s, _row_e, w2t, 3, threshold=5, step=_step, end_point=_end_point)
row_start = _row_s + _adjust
data = []
@ -314,6 +321,7 @@ def p_scenario(wb, single, vel, trq, rpms, rrs, dur, w2t):
col_names = list(df.columns)
df_1 = df[col_names[vel-1]].multiply(rpm*addition)
df_2 = df[col_names[trq-1]].multiply(scale)
df_origin = df
df = concat([df_1, df_2], axis=1)
row_start = 300
@ -323,8 +331,8 @@ def p_scenario(wb, single, vel, trq, rpms, rrs, dur, w2t):
data = []
for row in range(row_start, row_end):
data.append(df.iloc[row, 0])
data.append(df.iloc[row, 1])
data.append(df_origin.iloc[row, 0])
data.append(df_origin.iloc[row, 1])
i = 0
for row in ws.iter_rows(min_row=2, min_col=2, max_row=250000, max_col=3):