摘要
针对我国火炮智能科技与无人值守等相关技术的研究现状,提出火炮无人值守能源管理与建设方案。采用变能装置储能,实现能源合理利用与分配。利用神经网络、智能学习等技术,实现基于任务导向模型规则的知识型系统。通过故障的隔离、诊断和重构,实现能源系统的自主故障管理。结果表明:该研究能够满足地面武器能源的智能化、无人化、信息化管理要求,对未来火炮无人值守能源分系统的研究与工程化应用具有较为重要的意义。
Aiming at the research status of intelligent technology and unattended technology of artillery in our country,the unattended energy management and construction scheme of artillery is put forward.The variable energy device is used to store energy to realize the rational utilization and distribution of energy.By using neural network and intelligent learning technology,the knowledge system based on task-oriented model rules is realized.Through fault isolation,diagnosis and reconstruction,the autonomous fault management of energy system is realized.The results show that the research can meet the requirements of intelligent,unmanned and information management of ground weapon energy,which is of great significance to the research and engineering application of unmanned energy subsystem of artillery in the future.
作者
赵涛
王屹华
吕孟恩
侯刚
Zhao Tao;Wang Yihua;LYU Meng’en;Hou Gang(Overall Research Department of Neutralization Artillery,Northwest Institute of Mechanical and Electrical Engineering,Xianyang 712099,China)
出处
《兵工自动化》
北大核心
2024年第8期47-50,共4页
Ordnance Industry Automation
关键词
无人值守
未来战争
能源管理
火力打击系统
智能化
unattended
future war
energy management
fire strike system
intellectualization