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Journal of System Simulation

Abstract

Abstract: In order to improve the accuracy of automatic target recognition and promote the effect on substation operation and maintenance, automatic target recognition of substation 3D scene for digital twin is proposed. The automatic target recognition model for the three dimensional scene of the substation is constructed. The perception module of the model is used to collect the real-time status data of substation, and the communication module is used to transmit the data to digital twin modules. This module, based on the received data information, realizes the deep fusion and panoramic mapping of substation information through the knowledge base constructed by the knowledge map and the virtual and real data processing unit of the service module. Non-uniform rational b-splines(NURBS) surface reconstruction method is used to create a three-dimensional scene model of substation. The forward looking automatic target recognition unit uses the forward looking template matching technology to accurately recognize the single target and multiple targets in the three-dimensional scene model of the substation according to the knowledge base. The experimental results show that the model has excellent 3D modeling effect in both simple and complex scenes. In cloudy and foggy days, the model can still accurately identify all the targets in substation.

First Page

2594

Last Page

2601

CLC

TP311

Recommended Citation

Tu Qian, Li Jun, Fan Dongliang, et al. Automatic Target Recognition of Substation 3D Scene for Digital Twin[J]. Journal of System Simulation, 2023, 35(12): 2594-2601.

Corresponding Author

Li Jun

DOI

10.16182/j.issn1004731x.joss.22-0867

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