Production knowledge automatic extraction and management system oriented to process standardization

Through the automated extraction and management system of production knowledge for process standardization, multimodal data processing technology and structured knowledge base, the problem of segmentation and operation intention identification of multimodal data flows is solved, the integration of commonality and personalized skills is achieved, an efficient process knowledge management system is established, and the production efficiency and knowledge management level of process standardization is improved.

CN120371985AActive Publication Date: 2025-07-25HUAIAN JINYUN NETWORK TECH CO LTD
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Patent Information

Application Number
CN202510470415.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-15
Publication Date
2025-07-25
Estimated Expiration
2045-04-15

AI Technical Summary

Technical Problem

The prior art is difficult to effectively segment the continuous multimodal data streams and identify corresponding operation intentions, and it is difficult to distinguish and build common core operating paradigms and personalized techniques, resulting in insufficient automatic extraction and management of process standardization knowledge.

Method used

By establishing an automated extraction and management system for production knowledge, including data acquisition and processing modules, skill recognition modules, skill modeling modules and knowledge management modules, the time convolutional network, hidden semi-Markov model, recurrent neural networks and conditional variational autoencoders are used to achieve accurate segmentation of multimodal data and skill intention recognition, and a dynamically updated structured process knowledge base is built.

Benefits of technology

It realizes efficient and accurate segmentation and recognition of multimodal data, improves the accuracy and robustness of skill primitive recognition, takes into account commonality and personality skills modeling, establishes an efficient process knowledge management system, supports complex queries and dynamic updates, and solves the problems of information islands and knowledge update lag in traditional process knowledge management.

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Abstract

The invention relates to the technical field of electrical digital data processing, in particular to a process standardization-oriented production knowledge automatic extraction and management system, which comprises a data acquisition and processing module for acquiring multi-modal time sequence data, performing preprocessing and feature extraction and generating a multi-modal feature sequence; the skill identification module is used for segmenting a skill primitive sequence and acquiring a key parameter vector of each skill primitive based on the multi-modal feature sequence, and identifying an operation intention based on the skill primitive sequence and the key parameter vector; the skill modeling module is used for constructing a common skill model and a personalized skill model of the process operation process based on the skill primitive sequence; the model evaluation module is used for defining multi-dimensional evaluation indexes and evaluating operation effects corresponding to the generality and personalized skill models; and the knowledge management module is used for constructing a structured process knowledge base supporting dynamic updating and complex query. According to the method, a data-to-knowledge conversion system is established, and a scientific and efficient process standardization process is realized.
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