Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (10): 2244-2254.doi: 10.16182/j.issn1004731x.joss.21-0604

• Simulation Platform / System Technology • Previous Articles     Next Articles

Multi-sensory Fusion Method for Power Transformer Virtual Assembly

Xuqiang Shao(), Haowei Zhang, Xiaohua Feng()   

  1. North China Electric Power University, Baoding 071000, China
  • Received:2021-06-29 Revised:2021-08-27 Online:2022-10-30 Published:2022-10-18
  • Contact: Xiaohua Feng E-mail:shaoxuqiang@163.com;1064522174@qq.com

Abstract:

Virtual assembly technology is to truly restore the equipments and physical scenarios. In the real world, people can interact with the physical world through visual, auditory, tactile and other sense organ. Aiming at the existing virtual assembly system being limited the single sense human-computer interaction mode, so a multi-sense fusion information interaction method is proposed to improve the sense of immersion and operability. An improved AABB Octree bounding box collision detection algorithm of large size diffidence component to be assembled is proposed, which can greatly reduce the amount of calculation and improve the calculation accuracy. The experimental result verifies the operability and the sense of immersion improvement.

Key words: virtual reality, virtual assembly, sensory fusion, collision detection, power transformer

CLC Number: