Based on the problems of complex assembly process route, low resource utilization, low assembly efficiency and low quality in the production process of assembly workshop, a knowledge-based intelligent assembly worksho...Based on the problems of complex assembly process route, low resource utilization, low assembly efficiency and low quality in the production process of assembly workshop, a knowledge-based intelligent assembly workshop management and control mode is proposed. By constructing an intelligent assembly workshop with real assembly workshop, knowledge assembly workshop and assembly workshop management and control system working together, On the basis of realizing real-time information collection of resource location information, assembly process information and assembly quality information, Euclidean distance algorithm, Markov method and Manhattan distance algorithm are used to realize resource optimization scheduling, assembly process and quality control.展开更多
文摘Based on the problems of complex assembly process route, low resource utilization, low assembly efficiency and low quality in the production process of assembly workshop, a knowledge-based intelligent assembly workshop management and control mode is proposed. By constructing an intelligent assembly workshop with real assembly workshop, knowledge assembly workshop and assembly workshop management and control system working together, On the basis of realizing real-time information collection of resource location information, assembly process information and assembly quality information, Euclidean distance algorithm, Markov method and Manhattan distance algorithm are used to realize resource optimization scheduling, assembly process and quality control.
