基于数字模型同步的农场信息管理系统设计与实现

摘要/Abstract

摘要： 农场信息管理系统是实现农场高效生产管理的重要内容，解决农情监测设备及农机装备的信息管理是构建农场信息管理系统的关键。为解决目前信息管理平台普遍难以快速实现不同类型或不同监测参数结构的农机快速网联监测和动态数据解析问题，基于“云-端”分布式架构思想，提出数字模型同步方法，即通过信息平台对每个不同装备进行数字化建模，依靠特定的通讯规约和基于最新模型标识的模型更新机制，实现车载数据传输终端和平台的模型同步，基于Linux操作系统和MQTT协议设计的车载数据传输终端，提供面向不同类型、不同监测参数结构装备的通用数据采集器，根据平台获取的装备数字模型，进行监测参数解析、本地可视化监测和4G无线传输，基于云服务的农场信息管理平台通过数字模型更新与加载完成监测装备参数的快速匹配和参数数据的可靠监测分析。并对耕、种、管、收4套农机装备集成数据传输终端进行系统测试。试验表明，报文收发成功率达99.90%，参数趋势、作业轨迹、作业参数热力分布等监控分析与实际作业情况一致，系统网络连接稳定，具有较好的稳定性和扩展性较好。

关键词: 农场信息管理系统, 数字模型同步, 数据监控, 数据解析, 智能农机

Abstract:

Farm information management system is an important content to realize efficient farm production management. Solving the information management of farm monitoring equipment and agricultural machinery equipment is the key to build farm information management system. In order to solve the problem that the current information management platform is generally difficult to quickly realize the rapid network monitoring and dynamic data analysis of agricultural machinery with different types or different monitoring parameter structures, a digital model synchronization method is proposed based on the distributed architecture idea of "cloud-end", that is, the digital modeling of each different equipment is carried out through the information platform. Relying on specific communication protocols and model update mechanism based on the latest model identification, the vehicle data transmission terminal and platform model synchronization are realized. The vehicle data transmission terminal designed based on the Linux operating system and MQTT protocol provides a general data collector for different types of equipment with different monitoring parameter structures. Analysis of monitoring parameters, local visual monitoring and 4G wireless transmission were carried out. The farm information management platform based on cloud services completed the rapid matching of monitoring equipment parameters and reliable monitoring and analysis of parameter data through digital model update and loading. The integrated data transmission terminal of farming, planting, managing and harvesting equipment was tested. The test shows that the success rate of sending and receiving messages reaches 99.90%, and the monitoring analysis of parameter trend, operation trajectory, and thermal distribution of operation parameters is consistent with the actual operation. The network connection of the system is stable, and it has good stability and scalability.

Key words: farm information management system, digital model synchronization, data monitoring, data analysis, intelligent agricultural machinery

中图分类号:

S24: TP311

刘政, 张光跃, 冯玉岗, 金诚谦, . 基于数字模型同步的农场信息管理系统设计与实现[J]. 中国农机化学报.

Liu Zheng, Zhang Guangyue, Feng Yugang, Jin Chengqian, . Design and implementation of farm information management system based on digital model synchronization[J]. Journal of Chinese Agricultural Mechanization.

参考文献

[1] 艾农. 农业未来发展趋势显现示范型智慧农场在国内快速兴起[EB/OL]. https://cn.chinadaily.com.cn/a/202205/24/WS628c908ba3101c3ee7ad6edc.html, 2022-05-24.

[2] 曹青, 郭慧岩, 张琳, 等. 于一雷: 智慧农场为农业插上翅膀[N]. 河北经济日报, 2023-09-07(002).

[3] Partel V, Charan Kakarla S, Ampatzidis Y. Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence [J]. Computers and Electronics in Agriculture, 2019, 157: 339-350.

[4] 金诚谦, 刘士坤, 陈满, 等. 采用改进U-Net网络的机收大豆质量在线检测[J]. 农业工程学报, 2022, 38(16): 70-80.

Jin Chengqian, Liu Shikun, Chen Man, et al. Online quality detection of machine-harvested soybean based on improved U-Net network [J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(16): 70-80.

[5] 张光跃, 金诚谦, 杨腾祥, 等. 联合收割机清选损失率监测系统设计与实现[J]. 中国农机化学报, 2019, 40(4): 146-150.

Zhang Guangyue, Jinchengqian, Yang Tengxiang, et al. Design and implementation of cleaning loss rate monitoring system for combine harvester [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(4): 146-150.

[6] 赵博, 张巍朋, 苑严伟, 等. 农业装备运维与作业服务管理信息化技术研究进展[J]. 农业机械学报, 2023, 54(12): 1-26.

Zhao Bo, Zhangweipeng, Yuan Yanwei, et al. Research progress in information technology for agricultural [J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(12): 1-26.

[7] 杨青, 张征, 庞树杰, 等. 一种基于GPS和GIS 农业装备田间位置的监控系统[J]. 农业工程学报, 2004, 20(4): 84-87.

Yang Qing, Zhang Zheng, Pang Shujie, et al. Field vehicle position monitoring system based on GPS and GIS [J]. Transactions of the Chinese Society of Agricultural Engineering, 2004, 20(4): 84-87.

[8] 吕亚聪. 基于微服务架构的智能农机数据管理应用系统设计与实现[D]. 重庆: 重庆邮电大学, 2019.

Lü Yacong. Design and implementation of intelligent agricultural machinery data management application system based on microservice architecture [D]. Chongqing: Chongqing University of Posts and Telecommunications, 2019.

[9] 叶文超, 张小花, 廖东东, 等. 基于Android的农机调度与管理平台设计与应用[J]. 仲恺农业工程学院学报, 2019, 32(3): 53-57.

Ye Wenchao, Zhang Xiaohua, Liao Dongdong, et al. Design and application of agricultural machinery scheduling and management platform based on android [J]. Journal of Zhongkai University of Agriculture and Engineering, 2019, 32(3): 53-57.

[10] 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 machinery [J]. Smart Agriculture, 2020, 2(2): 67-81.

[11] 柴世豪. 基于物联网的智慧农场管理系统[D]. 太原: 中北大学, 2023.

Chai Shihao. IoT-based smart farm management system [D]. Taiyuan: North University of China, 2023.

[12] 温鑫, 王熙. 基于农机CAN总线的OneNet远程监测系统研究[J]. 中国农机化学报, 2022, 43(1): 116-121.

Wen Xin, Wang Xi. Research on OneNet remote monitoring system based on CAN bus of agricultural machinery [J]. Journal of Chinese Agricultural Mechanization, 2022, 43(1): 116-121.

[13] 刘婞韬, 李小龙, 吴才聪, 等. 基于二维码的农机机组作业监测方法研究与试验[J]. 中国农机化学报, 2021, 42(4): 163-169.

Liu Xingtao, Li Xiaolong, Wu Caicong, et al. Research and experiment of farm machinery fleet operation monitoring method based on QR code [J]. Journal of Chinese Agricultural Mechanization, 2021, 42(4): 163-169.

[14] IBM. MQTT V3.1 protocol specification [EB/OL]. http://public.dhe.ibm.com/software/dw/

webservices/ws-mqtt/mqtt-v3r1.html, 2010-8-19.

[15] 熊迎军, 沈明霞, 刘永华, 等. 混合架构智能温室信息管理系统的设计[J]. 农业工程学报, 2012, 28(S1): 181-185.

Xiong Yingjun, Shen Mingxia, Liu Yonghua, et al. Design of intelligent greenhouse information management system with hybrid architecture [J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(S1): 181-185.

[16] 谢琳, 庄建. 基于MQTT协议的智慧农场智能化管理系统[J]. 单片机与嵌入式系统应用, 2018, 18(9): 62-65, 81.

Xie Lin, Zhuang Jian. Intelligent management system of intelligent farm based on MQTT protocol [J]. Microcontrollers & Embedded Systems, 2018, 18(9): 62-65, 81.