The Design Of Auxiliary Maintenance System For High-Voltage Switchgear: A Combination Of Digital Twins And AR

The high-voltage switchgear plays a significant role in ensuring the safe and efficient operation of power systems.However,the constantly-evolving complexity and functionality of high-voltage switchgear,especially under the frequent product update,make it challenging for maintenance workers to conduct maintenance work only on their experience.Additionally,many issues may arise due to the inability to address the growing maintenance requirement.The utilization of digital twins and augmented reality technologies can help maintenance workers complete the task under effective guidance,improve the efficiency and quality of maintenance,and reduce the impact of human factors on maintenance results.From above,the main results of this article are as follows:（1）Based on digital twin and virtual simulation techniques,a virtual model for high-voltage switchgear was built here.The digital twin model comprises a simulation model and a data visualization component.Therein,the simulation model was built using 3ds Max to simulate the operation of the high-voltage switchgear equipment.The virtual scene was built using the Unity 3D engine.The OPC UA technology was chosen for data transmission;the C#programming language linked with the Visual Studio development platform facilitated the development,packaging,compilation,and deployment of relevant software modules.By creating a digital twin model and collecting equipment data information,we were able to fulfill the real-time status monitoring and visualization requirements of the equipment,even in dynamic and changing operating environments.（2）Studying the important technologies of augmented reality can benefit maintenance system.A tracking registration method based on feature complementarity algorithm and Kalman filter fusion was proposed to solve problems when occlusion occurs,such as large size and complex structure of equipment,model drift,and low registration efficiency in tracking registration.Binary masks based on spatial reliability can enhance the target information in the color feature of the Staple algorithm.Secondly,using the Kalman filter can predict target positions in the current frame before re-detection,and solve the problem of target tracking failure.Thirdly,the improved ORB algorithm is applied to detect target feature points.Finally,after solving the pose matrix by optimized feature points,virtual information is superimposed to enhance the real-world features.The improved Staple tracking algorithm has an accuracy of target tracking that is 5.6%higher than the control group,and the operating speed reaches72.2f·s^-1,suggesting the effectiveness of this method.（3）The AR auxiliary maintenance system for digital twins based high-voltage switchgear is tested.By analyzing the system and designing functional modules,an auxiliary maintenance system is built with the functions of information and data interaction,human-computer interaction,and expert remote guidance for the internal equipment of high-voltage switchgear.The main purpose of this system is to help workers to maintain high-voltage switchgear,make maintenance easier,and improve the efficiency and quality of maintenance.