Title:
STRUCTURAL PERFORMANCE DIGITAL TWIN CONSTRUCTION METHOD FOR INTELLIGENT EXCAVATOR
Document Type and Number:
WIPO Patent Application WO/2022/148077
Kind Code:
A1
Abstract:
A structural performance digital twin construction method for an intelligent excavator, comprising: performing finite element analysis on key parts of the intelligent excavator in the excavation process to obtain related structural mechanical properties; collecting important operating states of the key parts of the intelligent excavator in the excavation process, and obtaining key operating data by means of data processing and calculation; fusing sensor data with an artificial intelligence algorithm, and performing structural performance prediction on the parts of the intelligent excavator under various unknown working conditions by using a prediction model; and finally, modeling and rendering performance data information by utilizing a computer graphics technology to obtain a digital twin for display of structural performance of the intelligent excavator, thereby realizing digital twin mapping of performance information of the key parts of the intelligent excavator in the excavation process. According to the method, under various working conditions, the structural mechanical properties of the key parts of the intelligent excavator are calculated in real time by utilizing a sensor and the artificial intelligence algorithm, thereby realizing practical functions of real-time display and monitoring of performance information, excavation trajectory display, feedback control, fault early warning and the like.
Inventors:
SONG XUEGUAN (CN)
LAI XIAONAN (CN)
ZOU YANAN (CN)
WANG XIN (CN)
HE XIWANG (CN)
ZHANG TIANCI (CN)
FU TAO (CN)
SUN WEI (CN)
LAI XIAONAN (CN)
ZOU YANAN (CN)
WANG XIN (CN)
HE XIWANG (CN)
ZHANG TIANCI (CN)
FU TAO (CN)
SUN WEI (CN)
Application Number:
PCT/CN2021/122532
Publication Date:
July 14, 2022
Filing Date:
October 08, 2021
Export Citation:
Assignee:
UNIV DALIAN TECH (CN)
International Classes:
G06F30/23
Domestic Patent References:
| WO2017222136A1 | 2017-12-28 |
Foreign References:
| CN112836404A | 2021-05-25 | |||
| CN111177942A | 2020-05-19 | |||
| CN111208759A | 2020-05-29 | |||
| CN111210359A | 2020-05-29 | |||
| CN111368417A | 2020-07-03 |
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