Research On Manufacturing Capability Service Recommendation Method For Industrial Cloud Robotics Based On Knowledge Graph

Industrial cloud robots combine cloud computing,cloud manufacturing,industrial robots and other technologies to virtualize and encapsulate the manufacturing capabilities of industrial cloud robots in the form of service descriptions.With the widespread application of industrial robots in the manufacturing field,the explosive growth of service information has caused service information overload,and it is difficult to quickly and effectively recommend high-quality and reliable services to users from mass manufacturing services.Knowledge graph can efficiently organize,manage and utilize knowledge in the physical world.However,the current research on the manufacturing knowledge of industrial cloud robots cannot effectively manage and utilize the existing knowledge of manufacturing services.Therefore,it is of great value and significance to study the management and recommendation of industrial cloud robot manufacturing capability services by combining knowledge graphs with industrial cloud robots.This paper takes the industrial cloud robot as the research object,based on the knowledge graph technology,and focuses on the research on the manufacturing capability service management and recommendation method of the cloud robot in the industrial field.The main research work is as follows:(1)Research on the construction method of knowledge graph for manufacturing capability service of industrial cloud robot.For industrial cloud robots,analyze the connotation of industrial cloud robots’ manufacturing capabilities and services.Using ontology description language,the knowledge representation model of industrial cloud robot manufacturing capability service is constructed from four aspects: industrial cloud robot,manufacturing task,manufacturing capability service and manufacturing process.Based on the industrial cloud robot manufacturing capability service ontology,this paper proposes an ontology-based construction method for the knowledge graph of industrial cloud robot manufacturing capability service.The Neo4 j graph database is used to store knowledge graph entities and relationships,so as to realize the storage and visualization of knowledge graphs for industrial cloud robot manufacturing capability services.(2)Research on the recommendation method of manufacturing capability service of industrial cloud robot based on knowledge representation learning.Based on the knowledge graph of manufacturing capability service of industrial cloud robot,the vectorized representation of entities and relationships in the knowledge graph of manufacturing capability service is realized by using knowledge representation learning.Based on the knowledge representation learning model of the knowledge graph of the manufacturing capability service of the industrial cloud robot,a recommendation method of the manufacturing capability service of the industrial cloud robot based on the knowledge representation learning is proposed.For the problem of low quality of negative samples and low model prediction accuracy caused by random sampling in most translation models,a new negative sample generation strategy is proposed.Aiming at the problem that the existing knowledge representation learning model is difficult to deal with complex relationships such as one-to-many and manyto-many,and insufficient utilization of entity description information,a knowledge representation learning method integrating entity description information is proposed based on the constraint information of relationship type.Finally,the effectiveness of the proposed method is proved by comparative experimental analysis.(3)The design and implementation of the recommended prototype system for manufacturing capability service of industrial cloud robot.The system includes a cloud service platform,a manufacturing capability service management module,a manufacturing task management module,and a manufacturing capability service recommendation module.Realize efficient management of industrial cloud robot manufacturing capability service knowledge.Use high-quality manufacturing capability service knowledge to recommend industrial cloud robot manufacturing capability services that meet user needs for enterprise users to improve manufacturing efficiency.