本文引用格式：赵博,张巍朋,苑严伟,汪凤珠,周利明,牛康.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,ZHANG Weipeng,YUAN Yanwei,WANG Fengzhu,ZHOU Liming,NIU Kang.Research Progress in Information Technology for Agricultural Equipment Maintenance and Operation Service Management[J].Transactions of the Chinese Society for Agricultural Machinery,2023,54(12):1-26.
赵博,张巍朋,苑严伟,汪凤珠,周利明,牛康
DOI：10.6041/j.issn.1000-1298.2023.12.001 OSID: ![]()
摘要:智能农业装备是信息化、自动化、智能化的综合体，其智能化水平主要表现在作业过程状态感知、数据分析、科学决策与自主控制等先进技术的应用。目前，我国农业装备在作业服务方面主要存在故障自动监测实用性差、维修服务资源配置失衡以及服务调度成本高等问题。本文以农业装备中典型机具——联合收获机为例，重点综述了国内外联合收获机运维服务管理相关典型技术的现状和特点，阐述和剖析了农业装备远程运维服务平台、作业数据监测、多机协同作业以及运维服务优化等方面的研究现状和发展动态。阐述了运维服务管理平台总体构架与技术进展；并分别阐述了作业工况、作业质量感知与车载终端管理等远程运维数据监测技术研究进展，路径规划、协同控制与任务分配等多机协同作业技术研究进展，故障诊断预测、维修策略与群体调度等运维服务优化技术研究进展；最后，结合实际应用场景，总结分析了农业装备运维服务管理技术所面临的挑战和机遇，提出了农业装备信息化管理技术的未来发展方向；并指出我国农业装备运维服务管理信息化技术未来研究方向。 关键词: 农业装备 运维服务平台 作业服务管理 多机协同 农机调度
Research Progress in Information Technology for Agricultural Equipment Maintenance and Operation Service Management Abstract:Intelligent agricultural machinery equipment is a complex of informatization, automation, and intelligence. Its intelligence level is mainly reflected in the application of advanced technologies such as state perception, data analysis, scientific decision-making, and autonomous control in the operation process. At present, there are mainly problems in the operational services of agricultural machinery equipment in China, such as poor practicality of fault automatic monitoring, imbalanced allocation of maintenance service resources, and high service scheduling costs. The current situation and characteristics of typical technologies related to the operation and maintenance service management of combine harvester at home and abroad were summarized, and focusing on the research status and development trends of remote operation and maintenance service platform for agricultural machinery equipment, operation data monitoring, multi machine collaborative operation, and operation and maintenance service optimization. Firstly, the overall architecture and technological progress of the operation and maintenance service management platform were elaborated. Then the research progress of remote operation and maintenance data monitoring technologies such as operating conditions, job quality perception, and vehicle terminal management was elaborated, as well as the research progress of multi machine collaborative operation technologies such as path planning, collaborative control, and task allocation. The research progress of operation and maintenance service optimization technologies such as fault diagnosis prediction, maintenance strategy, and group scheduling was also elaborated. Finally, combined with practical application scenarios, the challenges and opportunities faced by agricultural machinery equipment operation and maintenance service management technology were summarized and analyzed, and the future development direction of agricultural machinery equipment information management technology was proposed. Future research directions for informationization of agricultural equipment operation and maintenance service management in China were pointed out.Key Words:agricultural equipment operation and maintenance service platform operation service management multi machine collaboration agricultural machinery scheduling
