Intelligent production system and method based on edge calculation and digital twinning

Abstract

The invention provides an intelligent production system and method based on edge calculation and digital twinning, which belong to the field of intelligent production. The intelligent production system comprises a physical system, an edge digital twinning node, a digital twinning management control system, a production manufacturing simulation system, an order system and an AI algorithm model base. The method comprises the steps that intelligent sensing equipment acquires physical production line information in real time and transmits the physical production line information to the edge digital twinning node; the edge digital twinning node constructs an equipment model, predicts equipment faults and service life, and carries out visual display; and the digital twinning management control system generates simulation analysis operation of production equipment scheduling, optimizes a production scheduling strategy according to a simulation result of the production manufacturing simulationsystem, and sends a production scheduling instruction to the physical system. According to the invention, the calculation burden of the terminal processor is reduced, the time delay is reduced, the information mapping efficiency and the working efficiency of the whole intelligent production system are improved, and the equipment fault monitoring, prediction and maintenance at the edge side are realized.

Description

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AI Technical Summary

Benefits of technology

This patented technical means described in this patents involve an improved way that makes producing systems more efficient while still providing relevant or accurate information about their surroundings. These improvements include utilized advanced technologies like machine learning algorithms (ML), image recognition techniques, and object identification methods such as laser scanning and barcodes. Additionally, these advancements aim to simplify the communication network used within the system's core and enhance its performance. Overall, they help optimize resource allocation and productivity across multiple platforms involved in modern industrial settings.

Problems solved by technology

This patented describes different types of digital technologies used during autonomous manufacture processes like automating assembly lines, creation of electronic documents, and advanced simulation tools. These advancements aim towards better understanding and optimizing these interactions within the contextual environment where they occur frequently while maintaining their reliance over existing IT infrastructure. However, traditional methods require significant computational capacity and memory access, which limits its effectiveness in achieving higher levels of computation speed and efficiency.

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