Artificial intelligence auxiliary innovation method and device and computer readable medium

Abstract

The invention provides an artificial intelligence auxiliary innovation method and device, and a computer readable storage medium. The method comprises the steps: obtaining a semantic ontology, reconstructing an invention information base, cooperatively labeling a reference text, and realizing semantic mapping of invention information and the reference text; and performing comprehensive retrieval sorting by utilizing a semantic ontology concept and an instance extension retrieval formula and combining a scene and a concept allocation weight, and screening a text to generate an auxiliary innovation scheme. According to the method, a semantic bridge between the known invention information base and the reference text is effectively established, and a feasible scheme is provided for precision invention innovation, technical transformation and auxiliary industry upgrading.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to the field of computer intelligence-assisted innovation. Background technique [0002] Traditional assisted innovation methods include experience surveys, brainstorming and other methods. Since 1946, the former Soviet team has extracted a general problem-solving tool for cross-industry technical systems from 400,000 patents - the classic TRIZ innovation methodology, including system analysis, contradiction matrix, Abstract descriptions such as object field models, as well as invention information such as 40 invention principles, four separation methods, 76 object field standard solutions, and scientific effect knowledge base. However, the classic TRIZ does not have the term attribute, which cannot cover thousands of object attributes. It is difficult to unify technical contradiction analysis and object field analysis, and the semantic relationship between contradiction and i...

AI Technical Summary

Problems solved by technology

However, the classic TRIZ does not have the term attribute, which cannot cover thousands of object attributes. It is difficult to unify technical contradiction analysis and object field analysis, and the semantic relationship between contradiction and invention principle is not interpretable.

Therefore, it is very difficult to directly use the classic TRIZ method to invent and innovate

In response to the above problems, the modern TRIZ genre has deepened the understanding of evolutionary trends, functions, and attributes, but the modern TRIZ method cannot be combined with the semantics of reference texts such as TRIZ invention information databases and patents, and it is difficult to retrieve knowledge that matches the input description. There is a semantic disconnect between problem solving, and there is an urgent need to explore a feasible solution for explainably fusing existing invention information and reference texts

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