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作 者:谭永丽 Tan Yongli(College of Physics and Mechanical and Electrical Engineering,Hubei University of Education,Wuhan 430205,China)
机构地区:[1]湖北第二师范学院物理与机电工程学院,武汉430205
出 处:《计算机测量与控制》2020年第3期89-92,108,共5页Computer Measurement &Control
基 金:湖北省教育厅科研项目(B2015026)。
摘 要:传统的无人物流车辆智能监控系统监控图像清晰度差,监控速率慢;为了解决上述问题,基于智能定位技术设计了一种新的无人物流车辆智能监控系统,系统硬件传感器模块选用MCJS系列角度传感器,无人物流车辆定位模块选用ZM516X定位模块,支持Mesh网络,监控平台为LAND-LDRTU款无线远程监测终端RTU,内部配置实时监控系统,在C/S模式下设计应用系统程序;实验结果表明,基于智能定位技术的无人物流车辆智能监控系统监控图像清晰度高于传统监控系统42.58%,监控速率高于传统监控系统17.22%。The traditional unmanned logistics vehicle intelligent monitoring system monitors the image clarity and the monitoring rate is slow.In order to solve the above problems,a new intelligent monitoring system for unmanned logistics vehicles is designed based on intelligent positioning technology.The system hardware sensor module selects MCJS series angle sensor,and the unmanned logistics vehicle positioning module selects ZM516 Xpositioning module to support Mesh network and monitor.The platform is LAND-LDRTU wireless remote monitoring terminal RTU,which is equipped with real-time monitoring system and designed application system program in C/S mode.The experimental results show that the intelligent image monitoring system based on intelligent positioning technology monitors the image clarity higher than the traditional monitoring system 42.58%,and the monitoring rate is 17.22%higher than the traditional monitoring system.
分 类 号:TM235[一般工业技术—材料科学与工程]
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