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多终端联合下的远程人机交互仿真培训系统设计 被引量:1

Design of remote human-computer interaction simulation training system under multi-terminal union
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摘要 针对气象雷达仿真培训系统丢包率较大、远程人机交互数据传输速率较低的问题,设计多终端联合下的远程人机交互仿真培训系统。通过多传感器终端联合数据采集模块采集并融合数据,依据用户指令、生成控制指令,经由伺服控制模块控制目标物运动轨迹,生成培训训练内容与故障信号。依据故障信号及测试资源,模拟部件故障,测试培训效果。利用人机交互界面呈现培训内容,通过视觉感知设计人机交互界面优化模型,利用遗传算法求解该模型,获取最优交互界面。实验结果证明,该系统可有效采集气象雷达数据,并有效融合采集的数据,提升人机交互仿真培训操作的熟练程度,最低资源交互输出幅值是82 dB,最低平均传输速率为3.82 MB/s。 In view of the problem that the weather radar simulation training system has a large packet loss rate and a low data transmission rate of remote human-computer interaction,a remote human-computer interaction simulation training system under the joint of multiple terminals is designed.Through the multisensor terminal joint data acquisition module to collect and fuse data,according to the user instructions,generate control instructions,control servo control module,control radar antenna movement through the servo control module,generate training content and fault signals.According to the fault signal and test resources,simulate the failure of the components and test the training effect.The training content is presented by using the human-computer interaction interface,the human-computer interaction interface optimization model is designed through visual perception,and the genetic algorithm is used to solve the model to obtain the optimal interactive interface.Experimental proof that the system can effectively collect weather radar data and effectively integrate the collected data.The operational proficiency of human-computer interaction simulation training is improved.The minimum resource interaction output amplitude is 82 dB and the minimum average transfer rate is 3.82 MB/s.
作者 孙沛 郜凌云 贾越 方缘 姜鹏 王当 SUN Pei;GAO Lingyun;JIA Yue;FANG Yuan;JIANG Peng;WANG Dang(Liaoning Branch of CMA Training Centre,Shenyang 110166,China)
出处 《电子设计工程》 2023年第13期167-172,共6页 Electronic Design Engineering
关键词 多终端联合 远程人机交互 仿真培训系统 视觉感知 遗传算法 multi-terminal combination remote human-computer interaction simulation training system visual perception genetic algorithm
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