Method, device, equipment, medium and program product for handling an operational problem

By using two large language models for hierarchical verification and vectorization, the problems of modeling failure and poor system stability in complex operations research problems are solved, and efficient and accurate solutions to operations research problems are achieved.

CN122285689APending Publication Date: 2026-06-26CHINA UNITED NETWORK COMM GRP CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNITED NETWORK COMM GRP CO LTD
Filing Date
2026-03-23
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies, when dealing with complex operations research problems, suffer from several drawbacks: lack of multi-round interactions leading to information loss and modeling failure; lack of independent verification causing logical errors; and static knowledge bases limiting knowledge transfer, resulting in low modeling success rates and poor system stability.

Method used

Two pre-built large language models are used for model generation and hierarchical verification, respectively. By obtaining the natural language problem description input by the user, the initial modeling information is determined. The second large model is used for hierarchical verification. After vectorization, relevant experience knowledge is retrieved from the pre-set vector database. The retrieval results are then fused with the complete modeling information to generate enhanced modeling information. Finally, the solution is determined based on the enhanced modeling information and the two models.

Benefits of technology

It improves the success rate of modeling and system stability, ensures the professionalism and accuracy of modeling, enhances the adaptability and decision-making basis of the system, reduces modeling errors, and improves the efficiency and accuracy of solving operations research problems.

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Abstract

The method, apparatus, equipment, medium, and program product for processing operations research problems provided in this application include: acquiring a natural language problem description corresponding to the target operations research problem input by a user; acquiring a pre-constructed first and second major models; determining corresponding preliminary modeling information based on the first major model and the natural language problem description; determining corresponding complete modeling information based on the second major model and the preliminary modeling information; vectorizing the complete modeling information to obtain vectorized results; searching a pre-set vector database based on the vectorized results to obtain corresponding search results; fusing the search results with the complete modeling information to obtain enhanced modeling information; and determining the processing result of the target operations research problem based on the enhanced modeling information, the first major model, and the second major model; thereby achieving the effect of improving the modeling success rate and system stability.
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