Artificial intelligence-based production line intelligent process management system

The intelligent process management system for production lines, powered by artificial intelligence, solves the problems of rapid adaptation and dynamic adjustment in traditional process management. It achieves dynamic adaptation of process paths and quality stability, thereby reducing costs and improving production efficiency.

CN122155447APending Publication Date: 2026-06-05MOORES ELEMENTS (HANGZHOU) INFORMATION TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MOORES ELEMENTS (HANGZHOU) INFORMATION TECHNOLOGY CO LTD
Filing Date
2025-10-25
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional production line process management models are difficult to adapt to the needs of multi-batch and multi-category production quickly. When real-time production environment parameters change, the process path cannot be adjusted in time, resulting in quality fluctuations and increased costs.

Method used

An AI-based intelligent process management system for production lines is adopted, including a process data indexing module, a knowledge graph construction module, a path optimization module, a dynamic adjustment module, and an execution verification module. This enables real-time data association, construction of process element association graphs, path optimization, and dynamic adjustment, ensuring that the process path is adapted to production conditions.

Benefits of technology

It enables dynamic adaptation of process paths, reduces quality fluctuations, lowers production costs, provides a comprehensive quality verification and feedback mechanism, and improves the stability and efficiency of the production process.

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Abstract

The application relates to the technical field of production line process management, and discloses an intelligent production line process management system based on artificial intelligence. The system comprises five modules, namely, a process data index module, a process knowledge graph construction module, a process path optimization module, a dynamic adjustment module and a process execution verification module. The process data index module acquires a target process procedure of a current production batch, collects real-time production environment parameters, and indexes a historical process data set; the process knowledge graph construction module fuses multi-source process parameter features, constructs a process element correlation graph, and extracts a process constraint condition and a quality index set; the process path optimization module generates a candidate path based on graph optimization, and calculates a process stability evaluation value; the dynamic adjustment module matches real-time parameters and constraint conditions, corrects the evaluation value, and outputs an optimized path; and the process execution verification module controls equipment operation, collects actual data to verify the quality index achievement degree, and realizes intelligent management of the whole process of a production line process.
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