RD project identification method, system and device applied to high-enterprise affirmation and medium

Through natural language processing and knowledge graph technology, combined with the rule engine, RD projects recognized by enterprises are automatically identified and sorted, which solves the problems of RD project identification difficulties, cumbersome material sorting and data dispersion, improves the recognition efficiency and compliance, and realizes intelligent management of high-level enterprise recognition.

CN120523946AInactive Publication Date: 2025-08-22SINOHYDRO BUREAU 5
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Patent Information

Application Number
CN202511020956.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-24
Publication Date
2025-08-22
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

During the process of enterprise high-level enterprise identification, it is difficult to identify RD projects, cumbersome materials sorting, complex rules and difficult to follow, and data dispersed and difficult to integrate. The existing technology lacks intelligent solutions, resulting in inefficiency and error-prone.

Method used

Natural language processing technology and knowledge graphs are used, combined with rules engines, and automatically identify and organize enterprise R&D projects, build physical technology correlation maps, generate application materials that meet high enterprise recognition standards, and form project identification results through preset classification models and decision-making actions.

Benefits of technology

It improves the accuracy and efficiency of RD project identification, reduces the error rate of manual operations, realizes centralized data management and compliance verification, and supports cross-departmental collaboration and resource optimization.

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Abstract

The invention discloses an RD project identification method, system, equipment and medium applied to enterprise high-enterprise identification, and relates to the technical field of enterprise scientific and technological innovation management, the method comprises the following steps: obtaining a project document uploaded by a user, converting an unstructured project document into a numerical vector which can be learned by a machine, and storing the numerical vector in a database; processing the numerical vector of each project document by utilizing a classification model to obtain a classification result of the project documents; through entity technology identification and entity technology association identification, constructing a graph structure of an entity technology representing the project document and an association technology of the entity technology; generating a standard data set of the project documents based on a preset rule set and a fact set, and obtaining decision actions of the project documents; based on the classification result, the graph structure, the standard data set and the decision action, forming a project identification result of each project document; the problems that at present, RD items are difficult to recognize, material arrangement is tedious, rules are complex and difficult to follow, and data are dispersed and difficult to integrate are solved.
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