数据平滑滤波在汽车动态称重中的应用

The Application of Data Smoothing Filter in Automobile Dynamic Weighing

本文介绍数据平滑滤波在汽车动态称重输出信号中的应用,阐述了动态称重系统中常用的五种滤波方法,通过对试验数据的分析研究,针对汽车动态称重中对采样数据影响较大的主要是周期性干扰这一特点,采用算术平均滤波。滤波后称重传感器输出的电压曲线上"毛刺"明显减少,达到了比较理想的效果。

This paper introduces the application of Data Smoothing Filter in automobile dynamic weighing output signal, elaborates five filtering methods used frequently in dynamic weighing system. Through the analysis and research of experimental data, in the view of the characteristics that the periodic interference is the main influence to the sampling data in the automobile dynamic weighing system, Arithmetic mean filter is used. The burr on the voltage curve of the weighing sensor output is obviously reduced after filtering, and the effect is achieved.