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作 者:翟波[1] ZHAI Bo(Beijing Information Technology College, Beijing 100018)
出 处:《环境技术》2018年第6期65-69,共5页Environmental Technology
基 金:北京市教育委员会科技计划一般项目(编号:XY-YW-02-201602)
摘 要:为了发现运动车辆环境适应性的不足之处,找寻提升措施,需要对运动车辆的环境适应性进行检测,针对运动车辆处于非静止状态,不便于进行人工测量的问题,提出基于视频图像监控的运动车辆环境适应性研究方法。利用视频图像监控技术获取运动车辆图像,采用帧差法与背景差分法结合的方式提取车辆运行状态信息,分析不同环境因素对车辆性能的影响,结合模糊理论构建运动车辆环境适应性评估模型,对于差异化运行环境,根据模型评估结果判断运动车辆的环境适应性。采用车辆虚拟环境仿真实验技术与数字技术进行实验,检测运动车辆结构材料的温度适应性以及不同型号车辆部分性能的环境适应性。In order to find out the environmental adaptability inadequacies of moving vehicle and improvements,it is necessary to detect its environmental adaptability condition.For the problem that the moving vehicle is in a non-stationary state and is not convenient for manual measurement,a moving vehicle environmental adaptability research method based on video image monitoring is proposed.The video image monitoring technology is used to acquire the moving vehicle image,and the combination of frame difference method and background difference method is adopted to extract the operating state information of vehicles in order to analyze the influence of different environmental factors on the vehicle performance.Combined with the fuzzy theory,we constructed the sports vehicle environmental adaptability evaluation model,we can judge the environmental adaptability of the moving vehicle according to its assessment results with different operating environment.Experiments were carried out by using vehicle virtual environment simulation experiment technology and digital technology to detect the temperature adaptability of structural materials of moving vehicles and the environmental adaptability of partial vehicle performance.
分 类 号:TJ810.6[兵器科学与技术—武器系统与运用工程]
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