Method for automatically classifying, obtaining and storing complex knowledge of high-end device

Abstract

The invention discloses a method for automatically classifying, obtaining and storing complex knowledge of a high-end device. The method comprises: an automatic complex knowledge classification method of performing induction and reorganization on knowledge resources from the following three dimensions of the high-end device: a life cycle dimension, a knowledge manifestation pattern dimension and a knowledge theme dimension, and automatically classifying the knowledge resources by using a naive Bayes classifier; a complex knowledge obtaining method of obtaining a template according to complex knowledge based on a meta-knowledge model and obtaining the complex knowledge resources through semi-automatic obtaining technology based on the obtained template; and an automatic complex knowledge storage method of dividing the complex knowledge resources from the physics through a series of automatic division rules, compressing key information and storing the same in different storage spaces in a distributed manner. The method disclosed by the invention covers the automatic complex knowledge classification method, the complex knowledge obtaining method and the automatic complex knowledge storage method, and provides foundation and support for the high-end device manufacturers to use the complex knowledge resources.

Description

Technical field: [0001] The invention belongs to the field of intelligent information technology of advanced manufacturing technology, and in particular relates to an automatic classification, acquisition and storage method of complex knowledge suitable for high-end equipment. Background technique: [0002] The high-end equipment manufacturing industry, represented by high-end CNC machine tools, large gas turbines, steam turbines, EHV / UHV electrical equipment, and intelligent power equipment, is a typical high-tech industry that is knowledge-intensive, technology-intensive, and interdisciplinary. Progress. At present, high-end equipment manufacturing enterprises are shifting from product-centered to knowledge-centered new product development. Knowledge-centered new product development is becoming the core factor for enterprises to improve their competitiveness. The product structure is becoming more and more complex. The development process Increasingly complex, product func...

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Problems solved by technology

[0003] (1) Knowledge classification: Typical knowledge classification methods mainly include Michael Polanyi's knowledge classification method and the United Nations OECD classification method. These two classification methods are helpful for the analysis of the overall knowledge of human beings. and cognition, but not applicable to the development of knowledge resource management systems for the purpose of supporting enterprise innovation; most of the knowledge classifications serving the development of knowledge management systems only include knowledge in a certain field of product development, or only from a single Dimensional classification of knowledge at each stage of product development cannot meet the classification needs of high-end equipment manufacturing enterprises with a large number of knowledge resources, complex content, diverse forms, and heterogeneous formats

[0004] (2) In terms of knowledge acquisition: the research on knowledge acquisition mainly focuses on automatic acquisition technology, but it involves many immature research fields of artificial intelligence, so it is only a long-term goal of knowledge acquisition technology; and At present, the manual acquisition method mainly adopted by enterprises has high accuracy but low efficiency, and cannot meet the complex knowledge acquisition needs of high-end equipment manufacturing enterprises.

[0005] (3) In terms of knowledge storage: At present, although database technology has become increasingly mature, there is still no storage model that supports high-end equipment manufacturing enterprises with a large number, complex content, diverse forms, and heterogeneous formats of knowledge resources, and there is even a lack of knowledge resources compatible with high-end equipment manufacturing. A Storage Method Compatible with the Classification and Acquisition Method of Complex Knowledge Resources in Enterprises

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