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馬鈴薯收獲機(jī)挖掘裝置智能設(shè)計(jì)系統(tǒng)與評價(jià)方法研究
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國家自然科學(xué)基金項(xiàng)目(51975265),、國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFD0700600-2017YFD0700604),、云南省重大科技專項(xiàng)(2018ZC001-1、2018ZC001-3,、2018ZC001-4,、2018ZC001-5)和云南省高校工程研究中心建設(shè)計(jì)劃項(xiàng)目


Intelligent Design System and Evaluation Method of Potato Harvester Excavator
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    摘要:

    針對馬鈴薯收獲機(jī)挖掘裝置設(shè)計(jì)效率低、設(shè)計(jì)知識難以高效獲取和運(yùn)用的問題,,構(gòu)建了馬鈴薯收獲機(jī)挖掘裝置智能設(shè)計(jì)系統(tǒng),。在收集整理挖掘鏟設(shè)計(jì)規(guī)則的基礎(chǔ)上,,以產(chǎn)生式、框架式和混合式的知識表示方法表達(dá)挖掘裝置的設(shè)計(jì)知識并進(jìn)行存儲,,建立智能設(shè)計(jì)系統(tǒng)知識庫;利用Visual Studio軟件搭建知識管理系統(tǒng),,對規(guī)則類和實(shí)例類知識進(jìn)行管理;采用基于規(guī)則和基于實(shí)例的正向推理方法,探討智能設(shè)計(jì)系統(tǒng)推理機(jī)制;基于SolidWorks二次開發(fā)技術(shù),,對挖掘裝置進(jìn)行參數(shù)化建模;基于挖掘鏟挖掘阻力分析和RecurDyn-EDEM聯(lián)合仿真試驗(yàn),,構(gòu)建挖掘裝置工作性能評價(jià)體系;以Visual Studio為開發(fā)平臺、VB.NET為開發(fā)語言,,應(yīng)用SolidWorks API接口技術(shù)和MySQL數(shù)據(jù)管理方法,,對設(shè)計(jì)知識庫、知識管理系統(tǒng),、推理機(jī),、參數(shù)化模型庫和評價(jià)體系進(jìn)行整合及聯(lián)合運(yùn)用,開發(fā)了馬鈴薯收獲機(jī)挖掘裝置智能設(shè)計(jì)系統(tǒng),。利用系統(tǒng)進(jìn)行挖掘鏟實(shí)例設(shè)計(jì),,并進(jìn)行工作性能評價(jià)分析,結(jié)果表明,,挖掘鏟工作所需牽引力為856.24 N,,所受最大牽引阻力為724.81 N,明薯率為97.22%,,傷薯率為1.43%,,表明該挖掘鏟滿足設(shè)計(jì)要求。

    Abstract:

    Aiming at the problems of low design efficiency and difficult to acquire and apply design knowledge efficiently, an intelligent design system for excavating device of potato harvester was constructed. Based on the collection of mining shovel design rules, the knowledge of mining device design was expressed and stored by production, frame and mixed knowledge representation methods, and the knowledge base of intelligent design system was established. Visual Studio software was used to build a knowledge management system to realize the management of rule class and instance class knowledge. The reasoning mechanism of intelligent design system was discussed by using the method of rule-based and case-based forward reasoning. Based on SolidWorks secondary development technology, parametric modeling of mining device was realized. Based on excavating resistance analysis and RecurDyn-EDEM co-simulation test, the working performance evaluation system of excavating device was constructed. With Visual Studio as the development platform, VB.NET as the development language, SolidWorks API interface technology and MySQL data management method were applied to realize the integration and joint application of design knowledge base, knowledge management system, inference machine, parametric model base and evaluation system, and an intelligent design system for excavating device of potato harvester was established. An example of excavating shovel was designed with the system, and its performance was evaluated and analyzed. The results showed that the traction force required by the 〖JP2〗excavating shovel example was 856.24 N, and the traction resistance of the simulation test was 724.81 N, the exposture rate and the damaged rate were 97.22% and 1.43%, and the excavating shovel example met the design requirements.

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王鳳花,熊海輝,賴慶輝,劉志迎,陳可凡,魯超宇.馬鈴薯收獲機(jī)挖掘裝置智能設(shè)計(jì)系統(tǒng)與評價(jià)方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2021,52(8):86-97. WANG Fenghua, XIONG Haihui, LAI Qinghui, LIU Zhiying, CHEN Kefan, LU Chaoyu. Intelligent Design System and Evaluation Method of Potato Harvester Excavator[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(8):86-97.

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  • 收稿日期:2021-05-08
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  • 在線發(fā)布日期: 2021-08-10
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