Under the conditions of diversified product demands and intelligent production equipment in manufacturing workshop

aiming at the problems of nonstandard material preparation and low man-machine collaboration efficiency in the manufacturing workshop

firstly

the knowledge graph is used to construct the relationship network of the workshop. Based on the management methods of man

machines

materials

methods and environment

the internal entity and attribute map of the manufacturing workshop are constructed by combining top-down and bottom-up

and the workshop data are processed structurally and mapped to the design map. Then the graph database Neo4j is used for data storage and visualization

and Cypher graph query language is used to quickly find associated information. Finally

the mathematical models of production line takttime

smoothness and energy consumption are used to optimize the design scheme

which provide knowledge reference and decision-making for intelligent collaborative production and product supervision management in the manufacturing workshop.The study can realize efficient production in the workshop and provide a data basis for the digital twin of the workshop.