Method for driving virtual model simulation by using historical data based on digital twinning technology

Abstract

The invention belongs to the technical field of digital twinning, and discloses a method for driving virtual model simulation by using historical data based on the digital twinning technology, and the method comprises data storage and data calling. The data storage method comprises the following steps: creating a historical data storage database in a time sequence type database, and creating a data table for storing different types of data in the historical data storage database; and reconstructing data collected from equipment on a production line into a data format supported by a time sequence type database, and storing the data to a historical data storage database. The data calling method comprises the following steps of setting data calling initial time Tstart, a digital twin platform data refresh cycle and a data calling instruction operation cycle according to the requirements of the digital twin platform; calculating the starting time and the ending time of calling data according to the Tstart, and constructing a data calling instruction; and the digital twin platform operates the data calling instruction, reconstructs the called data, and drives the virtual model according to the reconstructed data.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing and digital twins, and in particular relates to a method for driving a virtual model simulation based on digital twins technology using historical data. Background technique [0002] Digital twin technology is a simulation process that makes full use of data such as physical models, sensor updates, and operating history to integrate multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability. Through the integration and analysis of a large amount of data, the digital twin system can continuously display the state of physical entities in the virtual scene, predict the health status of equipment or systems, remaining service life, and the probability of successful mission execution. [0003] A digital twin system usually includes three parts: physical space, virtual space, and information service system. Its characteristics are: (1) virtual space and physical...

AI Technical Summary

Problems solved by technology

[0006] However, the existing technology only realizes the remote real-time monitoring function of the virtual scene, and cannot realize the function of reproducing the historical scene. As a result, when the assembly workshop encounters problems such as equipment failure and assembly process defects and needs to observe the historical scene, it cannot effectively use the digital twin system analysis proble

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