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为解决无人机维修保障力量薄弱的问题,本文提出了一种基于军网技术的远程维修保障和模拟训练智能专家系统。首先对专家系统的结构模型和功能模型进行了设计,其次阐述了用户管理模块、远程故障诊断模块、可视化模块、数据库维护模块、模拟训练模块等5个专家系统的主要功能模块的实现方法,最后介绍了专家系统的安全防护措施。分析表明,该专家系统可以提高无人机维修保障效率,提升维修保障人员故障诊断能力。
In order to solve the problem of weak support for UAV maintenance, this paper presents a remote maintenance support and simulation training intelligent expert system based on military network technology. First of all, it designs the structure model and function model of expert system. Then it describes the realization of the main function modules of five expert systems such as user management module, remote fault diagnosis module, visualization module, database maintenance module and simulation training module. Finally, Introduced the expert system’s safety precaution. Analysis shows that the expert system can improve the efficiency of UAV maintenance and improve the ability of fault diagnosis of maintenance support personnel.