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作 者:赵京[1] 张晓丹[1] 张自强[1] 苗磊 ZHAO Jing;ZHANG Xiaodan;ZHANG Ziqiang;MIAO Lei(Faculty of Materials and Manufacturing,Beijing University of Technology,Beijing 100124,China)
机构地区:[1]北京工业大学材料与制造学部,北京100124
出 处:《北京工业大学学报》2024年第3期271-281,共11页Journal of Beijing University of Technology
基 金:国家重点研发计划资助项目(2019YFC1511501)。
摘 要:为了解决大型救援装备在灾时转运投用效率低的问题,提出了一种基于相关性的大型救援装备模块划分方法。首先建立了零部件相关性评价数学模型,对救援装备零部件之间的相关性进行评价,得到综合相关性矩阵;然后针对救援装备改进了一种层次聚类算法,基于综合相关性矩阵对零部件进行聚类,得到层次聚类结构;最后建立了救援装备模块划分方案多目标优化模型,基于遗传算法对其中各步骤进行适应性改造,从而求得救援装备的最优模块划分方案。该方法解决了现有方法在救援装备上无法应用的若干问题,其有效性在YS220液压挖掘机上得到应用验证。To solve the problem of low transport efficiency of large rescue equipment during disasters,a modular division method for large rescue equipment based on correlation was proposed.First,a mathematical model for the correlation evaluation of components was established,the correlation between rescue equipment components was evaluated,and a comprehensive correlation matrix was obtained.Second,a hierarchical clustering algorithm was improved for rescue equipment,and the components were clustered based on the comprehensive correlation matrix to obtain a hierarchical clustering structure.Finally,a multi-objective optimization model of the rescue equipment module division scheme was established,and each step was adapted based on the genetic algorithm to obtain the optimal module division scheme of the rescue equipment.The method solves several problems that the existing methods cannot be applied to rescue equipment,and its effectiveness is verified in YS220 hydraulic excavator.
关 键 词:模块化 救援装备 相关性 聚类 挖掘机 多目标优化
分 类 号:TH163[机械工程—机械制造及自动化] TH-39[建筑科学—建筑技术科学] TU621
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