面向超重型火箭发射场的多气体浓度监测系统设计  

Design of multi-gas concentration monitoring system for super heavy rocket launch site

作　　者：王健 WANG Jian(Oriental Space Technology(Shandong)Co.,Ltd.,Beijing 100010,China)

机构地区：[1]东方空间技术(山东)有限公司,北京100010

出　　处：《航天器环境工程》2023年第5期516-521,共6页Spacecraft Environment Engineering

摘　　要：为了解决超重型运载火箭发射场环境中气体种类冗杂、气体浓度监测精度受室外温湿度环境干扰严重以及对火箭发射环境污染度评定规则缺乏精准数据支撑等问题,文章提出一种多气体浓度监测系统的设计:在完成系统硬件设计的基础上,基于混合遗传算法和粒子群算法的优化反向传播神经网络算法(GA-PSO-BP)进行了软件设计,对发射场环境中CO、SO_(2)、CH_(4)等挥发性有机化合物(VOC)类型气体浓度的监测精度进行了温湿度补偿研究。实验结果表明:系统前端感知层返回到发射场后端测控大厅的节点数据中最大浓度误差不超过1.12%,补偿能力优越。该系统设计对发射场环境多气体浓度精准监测有较大意义。In order to solve the problems of miscellaneous gas types in the environment of the launch site of super heavy rockets,serious interference of outdoor temperature and humidity in gas concentration monitoring precision,and lack of accurate data support for the assessment of environmental pollution for rocket launching,this paper proposed a design of multi-gas concentration monitoring system.On the basis of completing the hardware design of the system,an optimized BP neural network algorithm based on hybrid genetic algorithms and particle swarm optimization(GA-PSO-BP)was proposed.The concentration monitoring accuracy of volatile organic compounds(VOC)such as CO,SO_(2) and CH_(4 )in the launch site with temperature and humidity compensation was studied.The experimental results show that the maximum concentration error in the node data from the sensing layer at the front end of the system to the measurement and control hall at the back end of the launch site is no more than 1.12%,indicating that the compensation ability is superior.The design of the proposed system is of great significance for the accurate monitoring of multi-gas concentration in the environment of launch site.

关 键 词：多气体浓度监测 超重型火箭 发射场 混合优化神经网络算法 

分 类 号：TN806[电子电信—信息与通信工程] V551[航空宇航科学与技术—人机与环境工程]