Intelligent collaboration method and system for integrated large model application

By constructing a globally persistent state object and introducing logical reasoning and optimization nodes in the field of high-end manufacturing, the problems of poor executability and logical deviation in LLM in generating process solutions are solved, and efficient and reliable engineering solution generation is achieved.

CN122334430APending Publication Date: 2026-07-03蒲惠智造科技股份有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
蒲惠智造科技股份有限公司
Filing Date
2026-06-02
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The general large language model (LLM) lacks a deep understanding of the complex relationships between products, processes, and resources in the high-end manufacturing field. This results in poor executability of the generated part manufacturing process solutions in actual production, with problems such as process conflicts and resource unavailability. It cannot accurately comply with ISO international standards and industry specifications, and it is difficult to effectively introduce real-time constraints.

Method used

By constructing a target global persistent state object, the structured domain knowledge of multi-source heterogeneous industrial systems is transformed into machine-readable context constraints. Logical reasoning and optimization nodes are introduced, and the execution paths of multiple modular nodes are dynamically orchestrated to ensure that the generation process conforms to the conditions of industrial reality.

Benefits of technology

This improved the feasibility of implementing the generated solutions in actual production environments, ensured the rigor of the process logic and the compliance of manufacturing standards, and achieved a high degree of consistency between the design solutions and the actual on-site production conditions.

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Abstract

This application discloses an intelligent collaboration method and system for integrating large-scale model applications. The server-side method includes: responding to an intelligent collaboration request sent by a client, constructing a target global persistent state object; decomposing the task corresponding to the intelligent collaboration request into multiple modular nodes, which at least include a large-scale model interface node, a knowledge query and verification node, a logical reasoning and optimization node, and a multimodal generation node; determining the real-time evaluation result of the target global persistent state object; and generating a visual model file or process document based on the real-time evaluation result and the multiple modular nodes, and sending it to the client. By employing this application and relying on the collaborative operation of multiple modular nodes, process conflicts and resource mismatches caused by assumptions in LLM are effectively avoided, improving the feasibility of the generated solution in actual production environments. Simultaneously, it ensures that the generation process is always based on the latest real-time constraints, achieving a high degree of consistency between the design scheme and the actual on-site production situation.
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