循环匹配，0x500，0x501，0x502，0x503，0x504，0x505，0x506，0x507

如果需要循环匹配多种数据类型，可以使用`for`循环来遍历每一行数据，并在每一行中匹配所需的数据类型。

以下是一个Python代码示例，可以匹配0x500至0x507八种数据类型：

data = '''1686541483.018429,0x500,ACC_X,-0.035400390625,ACC_Y,-0.169677734375,ACC_Z,9.892578125
1686541483.018582,0x501,GYRO_X,0.004531700000001138,GYRO_Y,-0.01835619999999949,GYRO_Z,-0.010726899999980333
1686541483.018702,0x502,Pitch,-0.010752000000024964,Roll,-0.010752000000024964,Yaw,275.66094599999997
1686541483.028309,0x500,ACC_X,-0.04150390625,ACC_Y,-0.14892578125,ACC_Z,9.8974609375
1686541483.028474,0x501,GYRO_X,0.004531700000001138,GYRO_Y,-0.01835619999999949,GYRO_Z,-0.010726899999980333
1686541483.028612,0x502,Pitch,-0.010752000000024964,Roll,-0.010752000000024964,Yaw,275.66094599999997
1686541483.038221,0x503,MAG_X,0.0081787109375,MAG_Y,0.0205078125,MAG_Z,0.009033203125
1686541483.038366,0x504,LATITUDE,39.984702
1686541483.038483,0x505,LONGITUDE,116.318417
1686541483.048098,0x500,ACC_X,-0.04150390625,ACC_Y,-0.14892578125,ACC_Z,9.8974609375
1686541483.048261,0x501,GYRO_X,0.004531700000001138,GYRO_Y,-0.01835619999999949,GYRO_Z,-0.010726899999980333
1686541483.048399,0x502,Pitch,-0.010752000000024964,Roll,-0.010752000000024964,Yaw,275.66094599999997
1686541483.058006,0x503,MAG_X,0.0081787109375,MAG_Y,0.0205078125,MAG_Z,0.009033203125
1686541483.058151,0x504,LATITUDE,39.984702
1686541483.058268,0x505,LONGITUDE,116.318417
1686541483.068003,0x500,ACC_X,-0.04150390625,ACC_Y,-0.14892578125,ACC_Z,9.8974609375
1686541483.068166,0x501,GYRO_X,0.004531700000001138,GYRO_Y,-0.01835619999999949,GYRO_Z,-0.010726899999980333
1686541483.068304,0x502,Pitch,-0.010752000000024964,Roll,-0.010752000000024964,Yaw,275.66094599999997
1686541483.078010,0x503,MAG_X,0.0081787109375,MAG_Y,0.0205078125,MAG_Z,0.009033203125
1686541483.078155,0x504,LATITUDE,39.984702
1686541483.078272,0x505,LONGITUDE,116.318417
1686541483.088013,0x500,ACC_X,-0.04150390625,ACC_Y,-0.14892578125,ACC_Z,9.8974609375
1686541483.088176,0x501,GYRO_X,0.004531700000001138,GYRO_Y,-0.01835619999999949,GYRO_Z,-0.010726899999980333
1686541483.088314,0x502,Pitch,-0.010752000000024964,Roll,-0.010752000000024964,Yaw,275.66094599999997
1686541483.098019,0x503,MAG_X,0.0081787109375,MAG_Y,0.0205078125,MAG_Z,0.009033203125
1686541483.098164,0x504,LATITUDE,39.984702
1686541483.098281,0x505,LONGITUDE,116.318417
1686541483.108020,0x500,ACC_X,-0.04150390625,ACC_Y,-0.14892578125,ACC_Z,9.8974609375
1686541483.108183,0x501,GYRO_X,0.004531700000001138,GYRO_Y,-0.01835619999999949,GYRO_Z,-0.010726899999980333
1686541483.108321,0x502,Pitch,-0.010752000000024964,Roll,-0.010752000000024964,Yaw,275.66094599999997
1686541483.118026,0x503,MAG_X,0.0081787109375,MAG_Y,0.0205078125,MAG_Z,0.009033203125
1686541483.118171,0x504,LATITUDE,39.984702
1686541483.118288,0x505,LONGITUDE,116.318417
'''

lines = data.split('\n')

for line in lines:
    parts = line.split(',')
    if parts[1] in ['0x500', '0x501', '0x502', '0x503', '0x504', '0x505', '0x506', '0x507']:
        print(parts)
        # 在这里添加需要处理的代码

在代码中，我们遍历每一行数据，并使用`split()`方法将其分割为不同的部分。然后，我们检查数据类型是否在需要处理的类型列表中（`['0x500', '0x501', '0x502', '0x503', '0x504', '0x505', '0x506', '0x507']`），如果是，就可以对该行数据进行处理。