基于变周期技术的自适应数据采集算法

Adaptive Data Acquisition Algorithm Based on Variable Cycle

在数据采集系统中,按需采集是平衡数据数量、提高数据质量的有效手段。本文所提出的自适应数据采集算法是基于有限采样点的一元线性回归拟合,通过实时地对采集到的数据进行分析,不断修正采样周期,使得采样周期能够快速、准确地适应被测对象的动态变化。MATLAB软件仿真表明,本方法对于被测量加速变化具有较强的动态捕捉能力,能够在降低平均采样频率的前提下减小采样失真度,且与同类方法相比失真度低,稳定性高,是测控系统中实时数据采集的一种较好的代替方案。

In data acquisition system, the effective means to balance data quantity and improve data quality is on-demand acquisition. Adaptive data acquisition algorithm proposed by this paper is based on the a-linear regression fitting of limited points. Through real time analysis of the collected data, adaptive data acquisition algorithm corrects the sampling continually, the sampling period rapid and accurate to adapt the dynamic changes of the tested object. Simulation results based on MATLAB shows that the algorithm has strong dynamic flapping catch ability on measuring accelerating change. This method can reduce sampling distortion more effectivdy and stably than similar methods with not raising the average sampling frequency. The adaptive acquisition method is a better one to alternative the real time data acquisition.