In recent years

with the rapid development of virtual reality(VR)technology

VR-based simulation systems havebeen widely used in teaching and training across various industries to address the high-risk

high-cost

and low-experienceissues present in traditional training schemes.However

in existing VR simulation systems related to overhead power line toweroperations

the user is of poor risk perception

lack of presence

and insufficient immersion

resulting in poor training effects.To solve these problems

this paper proposes a behavior risk real-time detection technology based on the electric fieldpropagation model and conductive path model

quantifying the user's behavior risk in the simulation system and improving theuser's behavior risk perception ability.At the same time

a full-body gesture reconstruction method based on inverse kinetics(IK)is used to restore real human posture in the virtual scene more accurately

enhancing the user's sense of presence.Inaddition

this paper simulates the position

volume

and timbre of collision sound with high precision

enhancing the realism ofcollision sounds and improving the user's immersion.Combining these key technologies

this paper designs and implements aVR-based overhead line tower operation safety simulation system and pilots the system in real business scenarios.The trainingresults for 40 trainees indicate that

compared to traditional training methods

this system can effectively improve trainingoutcomes

reduce training costs

and mitigate potential risks.