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当前位置: 首页 > 文章 > 基于VR的农田环境监测机器人研制 农机化研究 2020 (12) 74-79
Position: Home > Articles > Development of Field Environmental Monitoring Robot Based on VR Journal of Agricultural Mechanization Research 2020 (12) 74-79

基于VR的农田环境监测机器人研制

作  者：
赵静;闫春雨;曹佃龙;姚杰;贾鹏;兰玉彬
单  位：
关键词：
农田监测;机器人;VR技术
摘  要：
农田环境信息是农田管理策略制定及修改的重要依据,但目前农田环境参数监测存在监测范围小,机动灵活性不足。为实现农田环境数据动态采集,采用4G通信技术与TCP Socket通信协议,通过C++语言以及蓝图节点进行功能程序的开发,设计了一款基于虚拟现实(Virtual Reality)技术的环境监测机器人。机器人利用云端服务器接收保存机器人上的Raspberry Pi(树莓派)收集上传的数据,管理者通过本地客户端可将云端服务器数据下载和分析。应用VR手柄能够实现机器人的远程控制,佩戴VR头显可查看虚拟三维控制室中农田环境的可视化数据,利用机器人传回的田间实时影像获得沉浸式体验。测试结果表明:机器人能够高效获取田间环境数据、自主行走、自动采集和上传数据。
译  名：
Development of Field Environmental Monitoring Robot Based on VR
作  者：
Zhao Jing;Yan Chunyu;Cao Dianlong;Yao Jie;Jia Peng;Lan Yubin;School of Agricultural Engineering and Food Science, Shandong University of Technology;International Precision Agriculture Aviation Application Technology Research Center, Shandong University of Technology;
关键词：
farmland monitoring;;robot;;VR technology
摘  要：
Farmland environmental information is an important basis for the formulation and modification of farmland management strategies. In order to realize the dynamic acquisition of farmland environmental data, an environment monitoring robot based on Virtual Reality technology is designed by adopting 4 G communication technology and TCP Socket communication protocol, developing functional program through C++ language and blueprint node. The robot USES the cloud server to receive and save the data collected and uploaded by the raspberry pie on the robot, and the manager can download and analyze the data of the cloud server through the local client. The remote control of the robot can be realized by applying the VR controller. Wearing the VR head display can view the visualized data of the farmland environment in the virtual 3 d control room, and obtain the immersive experience by using the real-time image of the field returned by the robot. Test results show that the robot can efficiently acquire field environmental data, walk autonomously, and automatically collect and upload data.

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