基于RFID与GPS的拖拉机机库信息管理系统的设计与开发

doi:10.13733/j.jcam.issn.2095-5553.2024.05.024

摘要/Abstract

摘要： 针对一些大型拖拉机机库的管理过程中，产生的数据量庞大，传统依靠人工手动录入的管理方式效率低下、成本高、可靠性低等问题，结合互联网、传感器、智能定位等技术设计并开发一套拖拉机机库信息管理系统。该系统分为移动端和机库端的开发，移动端使用GPS进行拖拉机室外定位，结合拖拉机作业幅宽，计算得到拖拉机的作业面积等信息，开发移动端人机交互界面。机库端先对射频识别（RFID）的硬件电路进行设计，再使用Landmarc定位算法进行拖拉机室内定位，最后综合机库内的环境参数和移动端上传的作业信息等，开发拖拉机在线管理可视化平台。为验证系统的可行性，进行Landmarc算法的定位仿真、作业面积计算准确性验证、数据上传丢包测试。试验结果表明：拖拉机室内定位的平均误差为1.06 m，可以满足判断拖拉机车位的要求；作业面积计算的平均误差为4.17%，可以满足实际作业时的需求；数据存储成功率为97.70%，能够实现各项数据的存储。

关键词: 管理系统, 射频识别, Landmarc定位算法, GPS, 拖拉机

Abstract: In view of the huge amount of data generated in the management process of some large tractor hangars, the traditional management method of manual input is inefficient, high cost and low reliability, and a set of tractor hangar information management system is designed and developed in combination with the Internet, sensors, intelligent positioning and other technologies. The system is mainly divided into mobile terminal and hangar end development, the mobile terminal uses GPS for tractor outdoor positioning, calculates the tractor working area and other information combined with the tractor working width, and develops the mobile terminal humancomputer interaction interface. At the hangar end, the hardware circuit of radio frequency identification (RFID) is designed first, and then the indoor positioning of the tractor is carried out using the Landmarc positioning algorithm, and finally, the tractor online management visualization platform is developed by integrating the environmental parameters in the hangar and the operation information uploaded by the mobile terminal. In order to verify the feasibility of this system, the positioning simulation of Landmarc algorithm, the verification of the accuracy of the operation area calculation, and the packet loss test of data upload are carried out, and the test results show that the average error of the indoor positioning of the tractor is 1.06m, which can meet the requirements of judging the tractor parking space, and the average error of the operation area calculation is 4.17%, which can meet the needs of actual operation. The success rate of data storage is 97.70%, which can realize the storage of various data.

Key words: management system, radio frequency identification, , landmarc positioning algorithm, GPS, , tractor

中图分类号:

张九通, 唐维东, 刘鸿瑞, 杨思存, 廖明亮, 蒋猛. 基于RFID与GPS的拖拉机机库信息管理系统的设计与开发[J]. 中国农机化学报, 2024, 45(5): 154-160.

Zhang Jiutong, Tang Weidong, Liu Hongrui, Yang Sicun, Liao Mingliang, Jiang Meng. Design and development of tractor hangar information management system based on RFID and GPS [J]. Journal of Chinese Agricultural Mechanization, 2024, 45(5): 154-160.

参考文献

［1］　谢斌, 武仲斌, 毛恩荣. 农业拖拉机关键技术发展现状与展望［J］. 农业机械学报, 2018, 49(8): 1-17.
Xie Bin, Wu Zhongbin, Mao Enrong. Development and prospect of key technologies on agricultural tractor ［J］. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(8): 1-17.
［2］　朱登胜, 方慧, 胡韶明, 等. 农机远程智能管理平台研发及其应用［J］. 智慧农业(中英文), 2020, 2(2): 67-81.
Zhu Dengsheng, Fang Hui, Hu Shaoming, et al. Development and application of an intelligent remote management platform for agricultural ［J］. Smart Agriculture, 2020, 2(2): 67-81.
［3］　吴文福, 张娜, 李姝峣, 等. 5T智慧农场管理系统构建与应用探索［J］. 农业工程学报, 2021, 37(9): 340-349.
Wu Wenfu, Zhang Na, Li Shuyao, et al. Construction and application exploration of 5T smart farm management systems ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(9): 340-349.
［4］　朱明, 隋斌, 齐飞, 等. 论中国乡村振兴战略中的农业工程管理创新［J］. 农业工程学报, 2019, 35(2): 1-9.
Zhu Ming, Sui Bin, Qi Fei, et al.Innovation of agricultural engineering management in pursuing rural revitalization strategy in China ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(2): 1-9.
［5］　姚艳, 牛明雷, 孙法军, 等. 基于微服务架构的农业转移支付项目管理系统设计与实现［J］. 中国农业科学, 2021, 54(15): 3207-3218.
Yao Yan, Zhu Minglei, Sun Fajun, et al. Design and implementation of agricultural transfer payment project management system based on microservice architecture ［J］. Scientia Agricultura Sinica, 2021, 54(15): 3207-3218.
［6］　Jiang Ping, Wang Xianghui, Song Hui, et al. Design and implementation system of maintenance engineering analysis for aeroengine ［J］. Advances in Aeronautical Science and Engineering, 2021, 12(5): 131-138.
［7］　姚春生, 何丽虹, 陈谦, 等. 农业机械化信息化融合研究［J］.中国农机化学报, 2017, 38(8): 1-8, 54.
Yao Chunsheng, He Lihong, Chen Qian, et al. Research on fusion of agricultural mechanization and informatization ［J］.
Journal of Chinese Agricultural Mechanization, 2017, 38(8): 1-8, 54.
［8］　张良, 伍滨涛, 谢景鑫, 等. 北斗导航农机作业面积管理系统设计与试验［J］. 中国农机化学报, 2020, 41(12): 139-146.
Zhang Liang, Wu Bintao, Xie Jingxin, et al. Design and test on agricultural machinery operation area management system of Beidou navigation ［J］. Journal of Chinese Agricultural Mechanization, 2020, 41(12): 139-146.
［9］　张俊艺, 冯泽佳, 高磊, 等. 基于Android系统的农机调度管理平台的设计与开发［J］. 中国农机化学报, 2018, 39(5): 91-96.
Zhang Junyi, Feng Zejia, Gao Lei, et al.Design and development of agricultural machinery dispatching management platform based on Android system ［J］. Journal of Chinese Agricultural Mechanization, 2018, 39(5): 91-96.
［10］　Qinghua G, Zhongkuan W, et al. Design of 3D visualization management platform for intelligent coal preparation plant based on coal preparation information model ［J］. Gongkuang zidonghua. 2022， 48: 54-62.
［11］　武仲斌, 谢斌, 迟瑞娟, 等. 电动拖拉机田间巡航作业驱动转矩管理模型［J］. 农业工程学报, 2019, 35(4): 88-98.
Wu Zhongbin, Xie Bin, Chi Ruijuan, et al. Driving torque management model for electric tractor in field cruise condition ［J］. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(4): 88-98.
［12］　段宇峰. 基于RFID的物流定位技术研究［D］. 成都: 电子科技大学, 2016.Duan Yufeng. Research on RFID logistics position technology ［D］. Chengdu: University of Electronic Science and Technology of China, 2016.
［13］　李丽娜, 马俊, 徐攀峰, 等. RFID室内定位技术研究综述［J］. 计算机应用与软件, 2015, 32(9): 1-3, 96.
Li Lina, Ma Jun, Xu Panfeng, et al. Summary of study on RFID indoor localization technology ［J］. Computer Applications and Software, 2015, 32(9): 1-3, 96.

[1]	毛恩荣, 王皓洁, 杜岳峰, 朱忠祥, 翟志强, 张丽榕. 大功率拖拉机多工况换挡自适应控制策略[J]. 中国农机化学报, 2024, 45(5): 122-127.
[2]	王顺, 马心坦, 贺明佳. 拖拉机驾驶室内低频噪声控制研究[J]. 中国农机化学报, 2024, 45(5): 134-139.
[3]	魏国俊, 王鸿翔, 王圣杰, 王振雨, 肖茂华. 基于CKF的大型拖拉机状态参数估计研究[J]. 中国农机化学报, 2024, 45(4): 117-122.
[4]	祝贺, 戚彬, 李衍豪, 赵树行, 王莉. 基于主客观组合加权法的拖拉机座椅舒适度评价[J]. 中国农机化学报, 2024, 45(3): 140-147.
[5]	吐尔逊·买买提, 谢海巍, 孔庆好, 陈俊豪, 马洁, 曲古拉·图马尔拜. 农用拖拉机不同工况下排放特性[J]. 中国农机化学报, 2024, 45(2): 164-172.
[6]	徐钊睿, 赵业慧, 刘风平, 薛丽君, 杨延强, 王光明, . 拖拉机液压功率分流无级变速箱设计[J]. 中国农机化学报, 2024, 45(1): 138-143.
[7]	廖青, 黑晓涛, 侯炳坤, 张超, . 船式拖拉机驾驶室低频噪声研究[J]. 中国农机化学报, 2023, 44(9): 117-122.
[8]	胥文翔, 徐立友, 刘孟楠, 马可. 复合电源式电动拖拉机能量管理系统策略研究[J]. 中国农机化学报, 2023, 44(6): 135-142.
[9]	韦沛理, 鹿林飞, 黄亦其. 基于IPSO-PID特殊路面气压制动系统拖拉机ABS研究[J]. 中国农机化学报, 2023, 44(12): 99-106.
[10]	文昌俊, , 邵明颖, , 何永豪, , 陈凡, , 陈洋洋, . 轮式拖拉机可靠性评价及剩余寿命预测[J]. 中国农机化学报, 2023, 44(11): 73-78.
[11]	吴正开, , 王家忠, , 郉雅周, , 弋景刚, , 李珊珊, , 赵春明. 基于无人驾驶电动拖拉机的自适应跟踪算法研究[J]. 中国农机化学报, 2023, 44(11): 176-183.
[12]	张勇刚, 刘孟楠, 胥文翔, 徐立友. 基于DDPG算法的电动拖拉机双电机耦合传动参数优化[J]. 中国农机化学报, 2023, 44(10): 129-136.
[13]	张静, 刘昱, 郑德聪, 李志伟. 丘陵山地拖拉机机身自平衡机构稳定性分析[J]. 中国农机化学报, 2022, 43(9): 102-108.
[14]	孙德明, 朱晓岩, 马忠强, 李正宇, 李超. 欧盟拖拉机双管路气制动系统研究[J]. 中国农机化学报, 2022, 43(8): 114-118.
[15]	章新, 董荻, 睢志伟, 李占龙, 李建伟. 液压减振器节流孔与拖拉机减振特性研究[J]. 中国农机化学报, 2022, 43(7): 57-62.