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農(nóng)業(yè)裝備運維與作業(yè)服務管理信息化技術研究進展
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國家重點研發(fā)計劃項目(2022YFD2001505)


Research Progress in Information Technology for Agricultural Equipment Maintenance and Operation Service Management
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    摘要:

    智能農(nóng)業(yè)裝備是信息化,、自動化、智能化的綜合體,,其智能化水平主要表現(xiàn)在作業(yè)過程狀態(tài)感知,、數(shù)據(jù)分析、科學決策與自主控制等先進技術的應用,。目前,,我國農(nóng)業(yè)裝備在作業(yè)服務方面主要存在故障自動監(jiān)測實用性差、維修服務資源配置失衡以及服務調度成本高等問題,。本文以農(nóng)業(yè)裝備中典型機具——聯(lián)合收獲機為例,,重點綜述了國內外聯(lián)合收獲機運維服務管理相關典型技術的現(xiàn)狀和特點,闡述和剖析了農(nóng)業(yè)裝備遠程運維服務平臺,、作業(yè)數(shù)據(jù)監(jiān)測,、多機協(xié)同作業(yè)以及運維服務優(yōu)化等方面的研究現(xiàn)狀和發(fā)展動態(tài)。闡述了運維服務管理平臺總體構架與技術進展,;并分別闡述了作業(yè)工況,、作業(yè)質量感知與車載終端管理等遠程運維數(shù)據(jù)監(jiān)測技術研究進展,路徑規(guī)劃,、協(xié)同控制與任務分配等多機協(xié)同作業(yè)技術研究進展,,故障診斷預測、維修策略與群體調度等運維服務優(yōu)化技術研究進展,;最后,,結合實際應用場景,總結分析了農(nóng)業(yè)裝備運維服務管理技術所面臨的挑戰(zhàn)和機遇,,提出了農(nóng)業(yè)裝備信息化管理技術的未來發(fā)展方向,;并指出我國農(nóng)業(yè)裝備運維服務管理信息化技術未來研究方向。

    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.

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趙博,張巍朋,苑嚴偉,汪鳳珠,周利明,???農(nóng)業(yè)裝備運維與作業(yè)服務管理信息化技術研究進展[J].農(nóng)業(yè)機械學報,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.

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  • 收稿日期:2023-08-25
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  • 在線發(fā)布日期: 2023-09-20
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