Practical training all-in-one machine based on digital twinning technology

Abstract

The invention discloses a practical training all-in-one machine based on a digital twinning technology, and relates to the field of digital twinning and education. The practical training all-in-one machine comprises an all-in-one machine frame platform, an equipment indicating lamp, a display device, a computer, an operation button, a control system, a motor movement assembly, a magnetic navigation assembly and a power supply. The all-in-one machine frame platform is arranged on the ground as a substrate and is responsible for bearing other devices; and the equipment indicating lamp is responsible for displaying the current operation state of the training all-in-one machine. The display device is responsible for synchronously displaying the operation states of a virtual model and the practical training device; the computer is responsible for operating the all-in-one machine; the operation button is responsible for cooperating with the computer to operate the all-in-one machine; the control system serves as a central control system and is responsible for regulating and controlling input and output; the motor movement assembly is responsible for replacing the practical training device to move; the magnetic navigation assembly is responsible for differential control; and the power supply is responsible for supplying power to the all-in-one machine. Through ingenious cooperation of the nine devices, application of the digital twinning technology in a practical training mode is realized, and many problems existing in a current practical training mode are effectively solved.

Description

technical field [0001] The invention relates to the field of digital twins and the field of education, in particular to an all-in-one training machine based on digital twin technology. Background technique [0002] At present, the training modes in colleges and universities are divided into online training and offline training. However, there are inevitably some problems in both online training and offline training. For offline training: [0003] 1. Offline training requires a one-time purchase of a large number of training devices and allocation of corresponding land, and regular maintenance and upgrading of these training devices, which increases the economic burden of colleges and universities. [0004] 2. Offline training requires special administrators to maintain the equipment, and professional teachers are equipped to guide students' operations. During the training period, it is very easy to cause safety problems and waste a lot of teacher resources and time [0005...

AI Technical Summary

Problems solved by technology

[0003] 1. Offline training requires a one-time purchase of a large number of training devices and allocation of corresponding land, and regular maintenance and upgrading of these training devices, which increases the economic burden of colleges and universities

[0004] 2. Offline training requires special administrators to maintain the equipment, and professional teachers are equipped to guide students' operations. During the training, it is very easy to cause safety problems and waste a lot of teacher resources and time

[0005] 3. The hardware share of offline training is low, and it is impossible to maximize the efficiency of a training device

[0007] 1. Online training is not realistic enough to simulate the process of offline training, which makes students unable to fully understand the content of the training course, and the lack of physical operation greatly reduces students' familiarity with equipment and instruments

[0008] 2. The simulation results of online training are not accurate enough, which reduces the reliability of the simulation process, and the training operations learned by students cannot be used in actual operations

Another example is the patent CN211044603U (integrated virtual and real robot education training room). Although this patent can first simulate the motion trajectory of the mechanical arm through the virtual device, and then carry out real machine verification, the training room occupies too large an area and has not been realized. Remote control and multi-machine scheduling control only belong to the improved offline training mode

[0010] To sum up, it is necessary to design a platform that can perform high-precision simulation of the state of the training device, in order to solve the problem that the computer is separated from the virtual and the real during the simulation process. course security

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