Dynamic Modeling And Fusion Analysis Of Knowledge Of Ship Block Processing

Shipbuilding is a typical discrete manufacturing,with complex produc tion resources and processing techniques.In the product production process,the complex resources and processing processes inevitably have randomness and dynamics,which pose a hug e challenge to the modeling,updating and analysis of ship processing resources and processes.At present,the m ain research results focus on the established production resources and processes for modeling and analysis,paying attention to the expression of complex resources and processes,and lack of consideration of the vari ation that may occur in the actual processing.At the same time,the workshop manageme nt The massive processing information is not fully utilized,which not only increases the cost of data management,but also makes data redundant and wasteful.Therefore,this paper takes the segmented processing workshop of a shipbuilding enterprise as the background,considers the massive pro cessing data of the workshop,A dynamic modeling and fusion analysi s method of ship processing resources and processes based on knowledge graphs.The main resear ch content of this article includes the following three aspects:(1)In order to solve the problem of knowledge modeling and management difficulties in shipbuilding workshop,a knowled ge graph based modeling method for processing resources and process inf ormation is proposed.Based on the characteristics of the process flow and p rocessing data of the shipbuilding workshop,a workstation task beat data information collection model,an ontology-based multi-level representation model of resource and process knowledge modules,and an ontology representation model of each knowledge module are established.It achieves efficient organization and management of the knowledge of the processing pro cess in the shipbuilding workshop.(2)A knowledge generation,fusion and updating method based on the fusion memory-forgotten model is proposed to address the dynamic and time-sensitive knowledge in the shipbuilding process.The knowledge acquisition architecture and mapping steps,the memory incentive mechanism and fusion mechanism of the fusion memory-erasing model,and the dynamic knowledge generation and updating algorithm based on the fusion memory-erasing model are established.The knowledge fusion and iterative updating of workshop resources and process knowledge map a re realized to ensure the timeliness,accuracy and high quality of Shipbuilding knowledge.(3)In order to solve the problem of difficult analysis and utilization of process knowledge in shipbuilding workshop,a process node bottleneck analysis method is proposed for the integration of production and processing resources and process knowledge.It establishes a knowledge base of typical product processing examples,a comprehensive network of real-time resources and processes of products,and a process bottleneck node i dentification algorithm based on the real-time network of resources and processes.It realizes the rapid generation of process routes and the identification of bottleneck nodes for sub-processing products,providing new ideas for the fine control of ship manufacturing process,as well as references for the optimization of process node resource allocation methods.Finally,under the windows system,a visual analysis sy stem of ship manufacturing process time sequence resources and process knowledge is designed and developed.The system includes resource and process knowledge query module and product processing process analysis module,which realizes the efficient management and analysis and utilization of workshop manufacturing process resources and process kn owledge.Taking a ship’s plane section manufacturing workshop in Shanghai as an example,the dynamic modeling and fusion analysis method of manufacturing process res ources and processes proposed in this paper is applied to the production process of plane section.The database of resource and process knowledge map of some segmented workshops is constructed,and the process of knowledge generation,fusion,update and analysis is verified and analyzed.The example proves the effectiveness of the proposed method in the dynamic modeling and fusion analysis of ship production and processing resources and processes,and has certain reference significance for improving the fin e management and control of workshop resources and processing process and the efficient use of massive processing data.