Simulation system design and application analysis of power intelligent emergency repair scene based on digital twin technology

Minjie Bian; Yingying Su; Chen Cheng

doi:10.1117/12.2658849

23 November 2022 Simulation system design and application analysis of power intelligent emergency repair scene based on digital twin technology

Minjie Bian, Yingying Su, Chen Cheng

Author Affiliations +

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 1245403 (2022) https://doi.org/10.1117/12.2658849
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

Digital twin technology has been widely disseminated and gradually applied in the fields of aircraft manufacturing, CNC machining and workshop assembly. This paper mainly aims at the problems of weak mapping ability and low precision in mapping the real scene of digital twin technology into virtual space, as well as low efficiency and difficulty of visualization in virtual space, using the powerful graphics library and rendering engine of the Threejs framework, combined with the stereoscopic vision of binocular vision. Positioning technology, using Threejs as a platform to build a visual digital twin application framework, and develop a digital twin visual decision-making system. Combined with the application scenarios of electric power intelligent emergency repairs, aiming at the urgent digital transformation problems of live working robots and robotic arms in the power grid industry, Threejs technology is used to realize the construction of digital twin electric power emergency repair robotic arms and real scenes in virtual space, combined with binocular stereo vision technology Realize the acquisition of the three-dimensional coordinates required for power emergency repairs, simulate the whole process of power emergency repairs in real time, and provide new ideas for improving power work efficiency, reducing operating costs, and ensuring personnel safety.

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Minjie Bian, Yingying Su, and Chen Cheng "Simulation system design and application analysis of power intelligent emergency repair scene based on digital twin technology", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 1245403 (23 November 2022); https://doi.org/10.1117/12.2658849

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KEYWORDS

3D modeling

Visualization

Data modeling

Visual process modeling

Manufacturing

Safety

Monte Carlo methods

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