Digital factory intelligent control method and system

By constructing and classifying multiple park scenarios of the manufacturing plant, combining three-dimensional visualization and intelligent control technology, real-time monitoring and optimization of the production process is achieved, and the problems of closed architecture and static production process in the existing technology are solved, control intelligence and production efficiency are improved, and product quality and energy efficiency are ensured.

CN119689957APending Publication Date: 2025-03-25GUANGZHOU HONGLING TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411872425.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

In the prior art, most of the three-dimensional visualization systems are closed architectures, the three-dimensional modeling is not perfect enough, and the data interoperability is low, resulting in low intelligent control, and the production process is static, which cannot achieve real-time optimization, making product quality difficult to guarantee.

Method used

By obtaining multiple park scenarios of the manufacturing factory, scene construction and classification are carried out, three-dimensional visual modeling technology is used for three-dimensional modeling, and real-time monitoring, optimization and quality control of the production process are achieved through automated scheduling algorithms, intelligent sensors and real-time data analysis technology, machine learning and artificial intelligence algorithms.

Benefits of technology

The optimization of three-dimensional real-time visualization is realized, the control intelligence is improved, the optimal production scheduling is achieved, the efficiency and accuracy of production tasks are improved, the product quality is ensured, and the energy cost and environmental impact are reduced.

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Abstract

The invention discloses a digital factory intelligent control method and system, and the method comprises the steps: obtaining a plurality of park scenes of a manufacturing factory, determining the construction features of the scenes according to the scene structure data and the scene size data, transmitting the construction features to a cloud processor for data cloud calculation, carrying out the classification of similar scenes with the same attribute for the scenes through a scene classifier, and carrying out the cloud calculation. The method comprises the following steps of: outputting a scene classification result, carrying out three-dimensional modeling, outputting a digital factory, finishing intelligent control of a monitoring function by applying an automatic scheduling algorithm and utilizing a real-time data analysis technology and an energy-saving optimization technology, and carrying out full-three-dimensional virtual reality browsing monitoring and full-mouse virtual reality operation in a three-dimensional visual and interactive easy-to-use mode. Three-dimensional real-time visualization is optimized by combining the Internet of Things technology and the cloud computing technology, unifying space planning and data transmission, optimal production scheduling is achieved, efficiency and accuracy of production tasks are improved, real-time adjustment and optimization of the production process are achieved, and production efficiency and quality are improved.
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