基于数字孪生的地铁屏蔽门温度场在线监测方法OA

[Objective]The harsh environment in cold areas adversely affects the operation of subway screen doors.Real-time temperature monitoring is the basis for ensuring the safe operation of screen doors.To address the issues of incomplete temperature monitoring,weak interactive feedback,and low level of visualization in traditional subway screen door temperature monitoring systems,and to meet the urgent need for the digital and intelligent transformation of rail transit,this study proposes an online monitoring method for the temperature field of subway screen doors based on a digital twin.[Methods]First,based on the five-dimensional digital twin model theory,a framework for a digital twin temperature monitoring system for subway screen doors was proposed.On this basis,virtual reality technology was used to build a visual twin space for the screen doors,a surrogate temperature prediction model was constructed by combining a finite element model with a deep learning algorithm,and the temperature prediction results were interactively mapped in the twin space.Finally,the method was applied to the physical prototype model of the screen door,and the digital twin temperature monitoring system for the subway screen door was developed on the Unity3D platform.[Results]The results showed that the constructed temperature prediction model had an MSE of 8.068×10-5 and an R2 of 0.998,and the average time required per frame by the system was 78 ms,indicating high accuracy and rapid analysis and verifying the feasibility of this method for online monitoring of the temperature field of subway screen doors.[Conclusion]Digital twin technology offers a novel solution for online monitoring of the temperature field of subway screen doors,enhancing their monitoring efficiency,reliability,and safety.Additionally,it lays a solid foundation for the safety monitoring of other critical equipment on subway platforms and provides robust protection.