系统仿真数据采集管理传递误失补偿方法

System Simulation on Compensating Method of Data Missing in Process of Information Collection, Management and Transmission

针对在系统仿真信息采集、信息管理、信息传送过程中数据列出现空穴、误传或丢失的问题,文章探讨如何对数据进行有效补偿,并结合灰色理论与正交试验设计方法建立了数据列缺失补偿模型,给出了数据列空穴补偿优化准则与具体的补偿方法;通过具体的补偿实例说明信息链空穴灰色生成与正交试验设计生成是一种极为有效地信息缺失补偿方法。

How to compensate the date chain efficiently was researched when the date chain appeared holes, misinformation or losing in the process of information collection, management and transmission. The compensating model of data missing was established by utilizing the gray theory and orthogonal design. The compensating method of data missing and the principle of information chain hole compensate criterion optimization were proposed. The given example proves that the gray generation of date chain holes and the generation of orthogonal test design are effective methods to compensate the information chain lack.