机电工程技术2025，Vol.54Issue(4)：166-170,5.DOI:10.3969/j.issn.1009-9492.2025.04.029
基于改进蚁群算法的食品冷冻隧道选择装配
Selection and Assembly of Food Freezing Tunnel Based on Ant Colony Algorithm
摘要
Abstract
The frozen tunnel storage body is composed of multiple insulated sandwich panels,and the size of the installation gap between the sandwich panels directly determines the quality of the frozen tunnel.Due to the difficulty of quality control in manual random transfer,in order to improve assembly quality and assembly rate,computer-aided selection assembly(CASA)technology is applied to the assembly of frozen tunnel storage bodies in the study,which essentially involves the rational selection and matching of storage plate composition ring deviations.The computer-aided selection of assembly quality objective function was clarified,and the selection of assembly optimization path was established.A mathematical model for optimization was constructed,and optimization principles were formulated.A computer-aided selection assembly system is to be built,taking component size information as input and assembly process system diagram as constraint,using a constrained double-layer ant traversal optimization method to generate the optimal assembly solution.When packaging at the factory,the process personnel are required to use the method to simulate assembly.The corresponding frozen tunnel storage panels are numbered,packaged together,and sent to the construction site for installation according to the numbers.Through simulation calculations,it is known that using ant colony algorithm based selection assembly quality is 0.651,which is 256%higher than manual random assembly,greatly improving the assembly quality of food freezing tunnel storage and enhancing food freezing efficiency.关键词
冷冻隧道/计算机辅助选择装配/蚁群算法/装配质量Key words
frozen tunnel/computer-aided selection assembly/ant colony algorithm/assembly quality分类
建筑与水利引用本文复制引用
刘向勇,魏海翔,魏煊芸,胡妙漩,李国辉,张新娟,李善钦..基于改进蚁群算法的食品冷冻隧道选择装配[J].机电工程技术,2025,54(4):166-170,5.基金项目
中山市重大科技专项课题(2022A1019) （2022A1019）
中山市市级教学研究课题(KTZSJG202202) （KTZSJG202202）
