摘要
临近空间探测科学实验是以浮空器、无人机等平台为手段,获取多尺度、多层次、多类型的探测数据,为临近空间认知体系构建提供支撑.因为临近空间探测的复杂性和探测数据的多样性及重大的应用价值,所以建立临近空间探测数据实时可视化展示,有利于提升临近空间探测任务的安全、稳定开展.由于传统的同步阻塞I/O处理模式在对数据流进行处理时,搭建异步事件驱动架构复杂,数据处理效率难以提升,因此本文设计了一种基于NodeJS+ElectronJS+EchartsJS的适用于临近空间探测科学实验固定码率数据非阻塞模式实时解析与展示方法.该方法采用事件驱动、异步编程的实现方式,实现了临近空间探测科学试验固定码率数据的实时数据解码以及下传数据高效准确的可视化展示.
The scientific experiment of near-space exploration is to obtain multi-scale,multi-level,and multi-type detection data by aerostats,UAVs,and other platforms,which supports the construction of near-space cognitive systems.In view of the complexity of near-space exploration,the diversity of detection data,and the great application value,the real-time visualized display of near-space detection data is conducive to the safe and stable development of near-space exploration.During the processing of data streams,the traditional synchronous-blocking I/O mode is difficult in constructing the driver architecture of asynchronous events and thus the data processing efficiency is low.For this reason,this study introduces the real-time analysis and display method of non-blocking mode for Constant-Bit-Rate(CBR)data of near-space exploration based on NodeJS+ElectronJS+EchartsJS.This event driven method is of asynchronous programming and can achieve real-time decoding of CBR data in the scientific experiment of near-space exploration,as well as efficient and accurate visualized display of the downward transmission data.
作者
李雪松
李子扬
朱家佳
窦帅
杨光
陈宾宾
李传荣
LI Xue-Song;LI Zi-Yang;ZHU Jia-Jia;DOU Shuai;YANG Guang;CHEN Bin-Bin;LI Chuan-Rong(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)
出处
《计算机系统应用》
2021年第6期226-230,共5页
Computer Systems & Applications
基金
中国科学院战略性先导科技专项(A类)(XDA17040303)。
