基于智能定位技术的无人物流车辆智能监控系统设计 |
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引用本文: | 谭永丽. 基于智能定位技术的无人物流车辆智能监控系统设计[J]. 计算机测量与控制, 2020, 28(3): 89-92 |
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作者姓名: | 谭永丽 |
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作者单位: | 湖北第二师范学院物理与机电工程学院,武汉430205 |
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基金项目: | 湖北省教育厅科研项目:智能扫地机器人路径规划研究(编号:B2015026) |
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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%。
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关 键 词: | 智能定位技术 无人物流车 车辆监控 智能监控 |
收稿时间: | 2019-10-11 |
修稿时间: | 2019-10-11 |
Design of Intelligent Monitoring System for Unmanned Logistics Vehicle Based on Intelligent Positioning Technology |
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Abstract: | 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 ZM516X positioning 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. |
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Keywords: | intelligent positioning technology unmanned logistics vehicle vehicle monitoring intelligent monitoring |
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