扼要介绍对不完全满足通常数据处理所要求的假设条件(如测量误差是相互独立的,服从正态分布的随机变量,…)的测量数据的处理方法。其特点是依据物体运动的特性,测量值受外界干扰的程度,将测量数据分成若干区间,不同区间采用不同公式进行处理。再用高精度过载传感器测得值对处理方法进行修正,然后确定一套完整的对某种采集数据的处理方法。实践证明,这种方法能够较好地处理有关试验采集的数据。 It outlines how to deal with measurement data that do not fully satisfy the assumptions that are required for normal data processing (eg, measurement errors are independent of each other, subject to normally distributed random variables, ...). It is characterized by the movement of the object according to the measured value by the extent of external interference, the measurement data is divided into a number of intervals, different intervals using different formulas for processing. And then use high-precision overload sensor measured values ​​to correct the processing method, and then determine a complete set of data processing methods. Practice has proved that this method can better deal with the experimental data collected.