| 大豆播种装备谱系模块聚类划分方法 |
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| 引用本文： | 刘宏新,付露露,贾儒,郭丽峰.大豆播种装备谱系模块聚类划分方法[J].农业工程学报,2016,32(19):43-50. |
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| 作者姓名： | 刘宏新 付露露 贾儒 郭丽峰 |
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| 作者单位： | 东北农业大学工程学院,哈尔滨,150030 |
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| 基金项目： | 公益性行业科研专项,201303011;黑龙江省博士后科研启动基金,LBH-Q14024。 |
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| 摘 要： | 为实现复杂装备数字化资源库3D模型的智能存储、组织管理与高效检索,该文以大豆播种装备为研究对象,在谱系层次划分基础上,分析各零部件间的功能与几何相关性,利用模糊聚类分析法对零部件进行单元聚合,研究大豆播种装备的模块化分解,构建出具有系统性、完整性及可程序转化性的大豆播种装备谱系拓扑图。并采用以谱系拓扑图为基础路径的谱系模块编码加“对象、特征、量值”的物元语义编码形式组织与标识模型资源,且利用Visual Basic软件将具有谱系语义特征的拓扑图信息转化为程序代码,可实现对模型的规范化标注与快速检索。研究结果表明通过模块聚类法构建完成具有谱系语义编码特征的拓扑图能科学有效地引导模型资源的组织与检索,是建立系统的、具有层次化、系列化和参数化特征的3D模型资源集合的基础,研究结果为类似复杂机械装备数字化资源库的开发与应用提供了技术模版和基础理论。
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| 关 键 词： | 农业机械 装备 模糊聚类 拓扑 模块化 物元 资源检索 |
| 收稿时间： | 4/4/2016 12:00:00 AM |
| 修稿时间： | 2016/7/22 0:00:00 |
Partition method for module clustering of soybean seeding equipment pedigree |
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| Liu Hongxin,Fu Lulu,Jia Ru and Guo Lifeng.Partition method for module clustering of soybean seeding equipment pedigree[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(19):43-50. |
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| Authors: | Liu Hongxin Fu Lulu Jia Ru and Guo Lifeng |
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| Institution: | College of Engineering, Northeast Agricultural University, Harbin 150030, China,College of Engineering, Northeast Agricultural University, Harbin 150030, China,College of Engineering, Northeast Agricultural University, Harbin 150030, China and College of Engineering, Northeast Agricultural University, Harbin 150030, China |
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| Abstract: | Abstract: For agricultural machinery equipment, the gap in research and development efficiency and convenience between existing technology and expectation of engineering technical personnel is wide because of its great variety and complex influence factors. With the development and popularization of the three-dimensional (3D) technology, a lot of part libraries, standard part libraries and industry part libraries have been developed in 3D software, but these libraries only achieve simple collection of resource and primitive accumulation of model. However, with the increasing scale of 3D model data, organization management and efficient retrieval of model resource have become the problems needed to be solved. Therefore, in order to realize 3D model''s intelligent storage, organization management and efficient retrieval of equipment digital resource database, soybean planting equipment was as the research object; on the basis of pedigree hierarchical division, aiming at the characteristics of soybean planting equipment, the correlation of function and geometry between each part was analyzed and defined by expert evaluation according to function collaboration performance and joining-dismounting performance, and the comprehensive correlation matrix was built by weighted summation method. The unit parts were aggregated by the maximum tree method of fuzzy clustering analysis, so clustering tree was produced. The class number of parts was determined by the threshold. When the threshold was 0.45, parts were divided into 6 classes. Combined with industry standards and function of the equipment practical application, soybean planting equipment was completed and decomposed into category module and function module. And pedigree topology of soybean planting equipment was established, which had the features of systematicness, integrity and program transformation. In pedigree topological map of soybean planting equipment, classification method of planter was the basic composition unit, and the map had the hierarchical structure corresponding to modular decomposition. It was decomposed into a special module, a standard module and several function modules. The same color between modules had more strong correlation, and the number of modules was used to represent cluster value among parts, the smaller value showing the correlation degree of module was higher. Model resources were organized and identified in form of pedigree module encoding according to pedigree topology map basic route and matter-element semantic encoding of "object, characteristics and value", in order to guide the model standardization labeling, and provide references for program recognition. Topological map information with the pedigree semantic features was transformed into program codes by Visual Basic software, which were used for the acquisition and analysis of model information. And fast retrieval of model was realized by the hierarchical matching judgment, and fuzzy retrieval and directory tree browse were the ways for model retrieval. The study results showed that the topological map with pedigree semantic encoding feature could guide organization and retrieval of model resource. Hierarchical fuzzy matching judgment retrieval methods based on hierarchical topology map could not only complete hierarchical retrieval, but also realize two-way interactive information. That was the basis to establish 3D model resources collection. And the study results provide the technology template and basic theory for development and application of similar complex mechanical equipment digital resource database. |
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| Keywords: | agricultural machinery equipment fuzzy clustering topology modularity matter element resource retrieval |
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