摘要
针对现今遥测数据量大,参数种类繁多,帧结构复杂多变,处理软件通用性不强,状态修改频繁的问题,研究了一种基于参数属性的遥测数据处理方法。该方法在对处理中涉及到的参数属性进行粒性分析的基础上,采用最小信息量为节点的方式搭建编程框架,建立了参数的帧结构分离与译解模型,实现了数据自动判读,解决了频繁更改处理程序等问题。仿真实验结果表明,该方法提高了遥测数据处理的运行效能,具有较好的自适应性,易于实现。
To the problem for the big telemetry data, the variety of parameters, the complex frames, the universality of the software, the state of frequently improving, this paper makes researches a method of telemetry data processing on the base of parameter attribute. The method builds the program architecture with the least information, on the basis of the granularity analysis of the parameter attributes which are related in processing, builds a separating and explaining model for telemetry data frame, realizes the auto-estimation of the data batch, frees the personnel from frequently changing among programs. The experimental results show that the method has effectively enhanced the efficiency of data processing, and has good adaptability and easy to implement.
作者
谷阳阳
赵圣占
Gu Yangyang;Zhao Shengzhan(Unit 92941 Element 45,Huludao 125000,China)
出处
《电子测量技术》
2018年第23期70-73,共4页
Electronic Measurement Technology
关键词
帧结构
参数属性
数据自动判读
遥测系统
frame
parameter attribute
auto-estimation of the data batch
telemetric system
