一种自适应数据变化规律的数据采集算法

A Kind of Data Acquisition Algorithm of Adaptive Data Change Rule

传统的等时间间隔的数据采集算法,在占用网络带宽和拟和精确度上存在着缺陷。鉴于此,该文提出了一种新的自适应数据变化规律数据采集算法,在该算法中,根据对当前一段时间所采集的数据变化情况的评估,设置了一种判断数据变化平滑度的策略,根据网络性能参数在当前时刻的变化趋势,自我调整采集数据的时间间隔,当判断数据变化比较平缓时,增加数据采集时间间隔;当判断数据变化比较剧烈时,减小数据采集时间间隔。最后,通过理论和实验分析验证了该数据采集算法在较小占用网络带宽的情况下,能得到更精确的数据拟和曲线。

The traditional equal-time interval data acquisition algorithm has defects in occupancy network bandwidth and fitting accuracy. In view of this, present a new data acquisition algorithm of adaptive data change rule. In this algorithm, according to the collected data changing situation assessment during the current period of time, set up a strategy of judging data change smoothness. According to the change trend of network performance parameters in the present moment, adjust the data gathering time interval, when data change judged is gentle, add data acquisition time interval ; when data change judged is severe, reduce data acquisition time interval. Finally, through the- oretical and experimental analysis verify that the data acquisition algorithm in small occupancy network bandwidth, can get more accurate data fitting curve.