基于LabVIEW和MATLAB的数字孪生供热系统平台的设计与仿真

Construction and Simulation of Digital Twin Heating System Platform Based on Labview and Matlab

摘要:

数字孪生技术充分利用物理结构、传感器更新、设备运行历史等数据通过集成多领域、多物理量、多可能性的模拟过程，在虚拟空间中进行镜像，以此表达相对应的实物装置的整个生命周期过程。从智慧供热的发展历史来看，依托现代工业系统理念，提出了基于"数字孪生"的智能供热系统结构。首先介绍了数字孪生的基本结构，给出了数字孪生的构建方式基于虚拟仪器Labview的大数据采集、处理、归档、仿真；然后以采集的数据为基础，得到供热系统的孪生模型，叙述了数字孪生技术解决的关键问题；最后，通过Labview仿真平台调用Matlab中神经网络智能算法，得到基于大数据采集以及经过智能算法优化后的参数，同时系统将参数反馈给物理实体设备，从而完成孪生模型的仿真、优化、反馈过程。通过热网系统优化仿真案例验证了Labview和Matlab混合编程在建立的孪生供热平台上、应用的有效性。

Abstract:

Digital twin is a multi-disciplinary, multi-physical,multi-scale,multi-probability simulation process that makes full use of physical model, sensor update, operation history and other data to complete the mapping in virtual space, thereby reflecting the full life cycle of the corresponding physical equipment Process. Starting from the development trend of smart heating, and relying on the concept of industrial systems, a smart heating technology based on "digital twin" is proposed. Firstly, the basic structure of the digital twin is introduced, and the construction method of the digital twin is given. Based on the big data acquisition, processing, archiving and simulation of the virtual instrument Labview; then, based on the collected data, the twin model of the heating system is obtained. The key problems solved by the digital twin technology are discussed; finally, the neural network intelligent algorithm in Matlab is called through the Labview simulation platform to obtain parameters based on big data acquisition and optimized by the intelligent algorithm. Model simulation, optimization, feedback process. The effectiveness of the application of Labview and Matlab hybrid programming on the established twin heating platform is verified through the optimization simulation case of the heating network system.