Study And Application Of Data Characterization Technologies For Iron And Steel Production Process Based On Knowledge Graph

The digital development of China’s iron and steel industry is still at its initial stage.Under the influence of economic globalization,the transfer and upgrading of the world’s industrial structures and the overcapacity,the profits of China’s iron and steel industry have dropped significantly.It is urgent to improve the level of industrialization and informatization and integrate a new generation of information technology into production and management.The iron and steel production process is a mixed process including continuous processes and discrete processes.The production process is complex,with many data sources,formats,and protocols.The multilevel architecture design of the traditional manufacturing informatization theory makes automatic real-time information and business information distributed in many independent systems to form information islands,and the data are organized and stored according to the spatial distribution of processes.It is difficult to realize the integration of complete production process data under such circumstances.In this paper,knowledge graph technology is used to integrate and characterize the data of iron and steel production processes.Firstly,the ontology structure of the knowledge graph of the steel production process is constructed.Then a system is designed and implemented to solve the problems existing in the production process management of iron and steel enterprises.This paper mainly includes the following parts:（1）By analyzing the steel production process,the ontology design and graph construction of the knowledge graph of the iron and steel production process are completed,and the steel production process representation system based on the knowledge graph is designed on this basis.（2）Taking the production process of a steel enterprise as a reference,the system functions are realized,and the graph ontology is constructed by mapping the ontology attributes to the multi-source databases fields,and entity nodes and relationships are generated to describe the processes connections,materials flows,the equipment usage information and their relationships in iron and steel production,and the production process data,material detection data and measurement data and other business data in other systems are integrated and penetrated.（3）Through visualization technology,the graph nodes involved in a specific production process are completely displayed,which is used to query and evaluate the production situation,and the corresponding data is integrated to provide data services.The historical production process data and the data provided by the graph data service are represented in the form of charts,which can effectively and intuitively perceive and understand the production process.（4）The comparative analysis method of the Gantt chart is studied,and the Gantt chart of material production and processing process is built by the system.By comparing and analyzing the planned Gantt chart with the actual Gantt chart,the situations of production overdue and production overtime can be judged macroscopically,to provide the basis for optimizing production.