特种压力容器温度数字孪生系统设计与实现

Implementation of temperature digital twin system for special pressure container

  • 摘要:
      目的  数字孪生技术和物联网技术在结构健康监测得到了广泛的应用,但在特殊压力容器装备中的应用尚处于萌芽阶段。
      方法  鉴于压力容器全生命周期安全监测要求,通过物联网实现对结构的温度数据采集,采用VUE+Flask框架编写结构监测系统。通过Three.js库建立容器模型,利用温度数据实现数字孪生模型的实时驱动,另外为检验系统的可行性,在ANSYS仿真的基础上开展相关温度实验。
      结果  实验证明基于压力容器结构的数字孪生关键技术可以实现场景感知、数字挖掘、信息反馈等功能。
      结论  该系统架构有良好的参考价值,物联网技术与数字孪生技术深度融合,可为我国战略性高端产品和重大关键装备的发展作出贡献。

     

    Abstract:
      Objective  Digital twin technology and Internet of Things (IoT) technology have been widely used in structural health monitoring, but their application in special equipment is still in its infancy.
      Methods  In view of the safety monitoring requirements for the whole life cycle of pressure containers, this paper realizes the temperature data acquisition of the structure through IoT and uses the VUE + Flask framework to write a software monitoring system. The container model is established via the Three.js library to realize the real-time driving of the temperature data of the digital twin model. Additionally, in order to test the feasibility of the twin system, relevant temperature experiments are carried out based on ANSYS simulation.
      Results  The experiment proves that the key digital twin technology based on the pressure container structure can realize functions such as intelligent monitoring, scene perception, digital mining and information feedback.
      Conclusion  The system architecture proposed herein has good reference value, and the deep integration of IoT technology and digital twin technology can contribute to the development of China’s strategic high-end products and major key equipment.

     

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