Structural performance digital twinborn body construction method of intelligent excavator

Abstract

A structural performance digital twin construction method of an intelligent excavator comprises the following steps: performing finite element analysis on key parts in the excavation process of the intelligent excavator to obtain related structural mechanical properties; collecting important operation states of key parts of the intelligent excavator in the excavation process, and acquiring key operation data through data processing calculation; fusing sensor data and an artificial intelligence algorithm, and using the prediction model for conducting structural performance prediction on intelligent excavator parts under various unknown working conditions; and finally, modeling and rendering the performance data information by utilizing a computer graphics technology to obtain a digital twinborn body for displaying the structural performance of the intelligent excavator, and realizing digital twinborn mapping of the performance information of the key parts in the excavation process of the intelligent excavator. Under various operation conditions, the structural mechanical properties of key parts of the intelligent excavator are calculated in real time through the sensors and the artificial intelligence algorithm, and the practical functions of real-time display monitoring of performance information, excavation track display, feedback control, fault early warning and the like are achieved.

Description

technical field [0001] The invention belongs to the field of digital twins, and specifically relates to a method for constructing a structural performance digital twin of an intelligent excavator. Background technique [0002] Intelligent excavator is the key equipment for open-pit mining and occupies an important position in the mining of mineral resources. Due to the harsh working environment, high work intensity and long working hours during mining, there is a potential risk of structural failure. And once the structural failure occurs, it will bring significant economic losses and even casualties. Therefore, in order to ensure the safe, continuous and stable operation of the intelligent excavator, it is necessary to monitor the structural performance of the intelligent excavator in real time. With the rapid popularization and application of next-generation information and communication technologies such as big data, the Internet of Things, and cloud computing, the real...

AI Technical Summary

Problems solved by technology

Due to the harsh working environment, high work intensity and long working hours during mining, there is a potential risk of structural failure

And once the structure fails, it will bring significant economic losses and even casualties.

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