Collision detection method for objects in large-scale scene

Abstract

The invention provides a collision detection method for objects in a large-scale scene. The method includes the first step of establishing an AABB bounding box, the second step of conducting dimension reduction processing, the third step of obtaining a dynamic list and the fourth step of carrying out collision detection calculation. The Sweep and Prune algorithm is comprehensively used, objects which do not collide in the future are removed by scanning states of moving objects in the three-dimensional scene, and therefore the calculation quantity of collision detection is greatly reduced, and real-time rendering efficiency of a physical engine is improved. The latest research achievements of current computer vision and physical engine technical fields are introduced into a power transmission line inspection simulating training system, and a virtual power transmission line inspection training environment which has high simulation, is interactive and is deeply immersed is showed to trainees on the basis of an efficient large-scale scene collision detection algorithm. The collision detection method lays key theory and application foundations for the collision detection technology and physical engine technology in electric system simulation training and has very good application prospects.

Description

technical field [0001] The invention is a pattern recognition method developed based on computer vision technology and three-dimensional physics engine technology, and has important applications in virtual reality and computer simulation physics engines. Background technique [0002] Transmission line simulation training is of great significance to improve the operating skills of electric power employees, prevent casualties and ensure the safe and stable operation of the power grid. However, due to the high-risk industry characteristics and special operating environment of the power grid, the traditional training methods can no longer meet the needs of power safety training, which is mainly manifested in the following aspects: [0003] 1) Transmission lines are widely distributed, long, and have many components. The traditional classroom teaching method is difficult to convey the technical points and skills of line inspection. Even with on-site practical training and teachin...

AI Technical Summary

Problems solved by technology

However, due to the high-risk industry characteristics and special operating environment of the power grid, the traditional training methods can no longer meet the needs of power safety training, which is mainly manifested in the following aspects:

[0003] 1) Transmission lines are widely distributed, long, and have many components. The traditional classroom teaching method is difficult to convey the technical points and skills of line inspection. Even with on-site practical training and teaching, it is difficult to carry out due to the variety of line defects and fault types.

[0004] 2) The traditional teaching and training methods keep students in a passive state and make it difficult to interact, which restrains students' learning interest and subjective initiative, and affects the training effect and quality

[0005] 3) Due to the constraints of various venues and funds, it is difficult and slow to rebuild the practice training bases of electric power training institutions or units at all levels in a short period of time

[0006] 4) On-site practical operation requires a lot of manpower and material resources, and the limitation of the number of operating stations also makes it difficult to satisfy repeated drills

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