Design And Implementation Of Continuous Casting Slab Quality Traceability System Based On Knowledge Graph

The core competitiveness of steel enterprises could be directly affected by the quality of steel products.With the development of informatization and intelligence,steel enterprises pay more attention to the quality of steel products.Quality traceability plays an important role in ensuring product quality,which can obtain the root cause of quality problems by analyzing the data and events in the production process.Therefore,it is important to pay attention to the accuracy and comprehensiveness of quality traceability.According to the problem of the traceability of continuous casting slab quality,the knowledge graph is innovatively introduced into the continuous casting slab quality traceability after investigation and study on steel enterprises.Not only can it solve the problem of production complexity and process correlation,but also it can help knowledge precipitation.This paper mainly builds the knowledge graph based on the continuous casting slab quality traceability,stores knowledge by using Neo4 j,develops the quality traceability system to provide services and makes a useful exploration for the intelligent application of knowledge graph in steel domain.The specific research contents are as follows.First of all,it is determined to use the top-down method to build the knowledge graph.This paper analyzes the events in the continuous casting slab production process,divides the ontologies and the relationships in the field and builds the ontology model.In order to store knowledge efficiently and visualize knowledge intuitively,the graph database Neo4 j is used to store data which were obtained by manual.In this way,the continuous casting slab quality traceability knowledge graph has been constructed.Then,according to the actual situations,designs the overall system framework,data flow diagram and database based on requirements analysis.Finally,the Spring Boot framework and Vue framework are used to complete the development of the quality traceability system.The system mainly includes two core parts: knowledge graph management and quality traceability.Knowledge graph management is responsible for the management,retrieval and visualization of the knowledge,it could update,maintain and perfect the knowledge graph.High quality knowledge graph can improve the accuracy of traceability.Quality traceability includes rule management,path traceability,event management and other functions,it can get the root cause of quality problems with the combination of knowledge graph,rule matching and event processing.In order to ensure the reliability of system,the system has been tested in two aspects: function and non-function.The simulation results show that the system is effective and feasible.