马铃薯收获机挖掘装置智能设计系统与评价方法研究
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国家自然科学基金项目(51975265)、国家重点研发计划项目(2017YFD0700600-2017YFD0700604)、云南省重大科技专项(2018ZC001-1、2018ZC001-3、2018ZC001-4、2018ZC001-5)和云南省高校工程研究中心建设计划项目


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

    针对马铃薯收获机挖掘装置设计效率低、设计知识难以高效获取和运用的问题,构建了马铃薯收获机挖掘装置智能设计系统。在收集整理挖掘铲设计规则的基础上,以产生式、框架式和混合式的知识表示方法表达挖掘装置的设计知识并进行存储,建立智能设计系统知识库;利用Visual Studio软件搭建知识管理系统,对规则类和实例类知识进行管理;采用基于规则和基于实例的正向推理方法,探讨智能设计系统推理机制;基于SolidWorks二次开发技术,对挖掘装置进行参数化建模;基于挖掘铲挖掘阻力分析和RecurDyn-EDEM联合仿真试验,构建挖掘装置工作性能评价体系;以Visual Studio为开发平台、VB.NET为开发语言,应用SolidWorks API接口技术和MySQL数据管理方法,对设计知识库、知识管理系统、推理机、参数化模型库和评价体系进行整合及联合运用,开发了马铃薯收获机挖掘装置智能设计系统。利用系统进行挖掘铲实例设计,并进行工作性能评价分析,结果表明,挖掘铲工作所需牵引力为856.24 N,所受最大牵引阻力为724.81 N,明薯率为97.22%,伤薯率为1.43%,表明该挖掘铲满足设计要求。

    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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王凤花,熊海辉,赖庆辉,刘志迎,陈可凡,鲁超宇.马铃薯收获机挖掘装置智能设计系统与评价方法研究[J].农业机械学报,2021,52(8):86-97.

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  • 收稿日期:2021-05-08
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  • 在线发布日期: 2021-08-10
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