Speed reducer data sharing method based on knowledge graph

Abstract

According to the speed reducer data sharing method based on the knowledge graph provided by the invention, a rotary machinery fault diagnosis model based on a deep migration convolutional neural network and a fault diagnosis method based on the deep migration convolutional neural network and a limit sharing machine are provided, so that the effectiveness and efficiency of fault identification and classification are improved; according to the method, the server generates the to-be-shared user list according to the label information and the shared knowledge graph of each user, and the speed reducer shared information can be shared to the required user, so that the sharing convenience and accuracy of the shared content are realized, and the difficulty of acquiring the required shared content by a worker is reduced. And integrating shared data of the mechanical transmission structure based on the knowledge graph, reasoning existing knowledge through a knowledge reasoning model, and discovering a potential association relationship between transmission structure entities. Knowledge retrieval is realized based on the constructed knowledge graph, and accurate information is quickly acquired from huge data resources, so that more convenient transmission structure sharing service is provided.

Description

technical field [0001] The invention belongs to the technical field of intelligent products, and in particular relates to a data sharing method of a reducer based on a knowledge graph. Background technique [0002] With the rapid development of modern industry and the continuous upgrading of mechanical operation equipment, timely and effective fault diagnosis of rotating machinery can avoid economic losses and safety accidents. Traditional fault diagnosis methods rely on expert experience and prior knowledge, which can no longer meet the fault diagnosis needs of complex mechanical equipment. It is necessary to continuously research and develop more efficient and intelligent fault diagnosis methods. The reducer developed by the applicant has independent intellectual property rights, and has the advantages of beautiful appearance, low noise, no oil leakage, fast delivery, intelligent and trouble-free, etc., including JRTR gear reduction motor, JRTF parallel shaft-gear reductio...

AI Technical Summary

Problems solved by technology

However, the current smart terminals cannot accurately share the shared information that needs to be shared with those who need it.

When staff need to share information, they can only publish the shared information on the Internet, and the shared information will be submerged in the massive information on the Internet, and those who need to obtain the shared information can only obtain it from the massive information on the Internet. search, and there is no guarantee that the shared information can be accurately searched, making it impossible for staff to carry out better sharing, communication and interaction

[0004] Especially in view of the lack of effective interactive supervision information and methods and systems in the current mechanical operating system process, this application is oriented to the information management of the operation of mechanical transmission reducers, and discloses a data sharing method for reducers based on knowledge graphs. To solve the data management problem of the whole life cycle of the transmission structure such as the reducer

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