一种利用数字孪生系统进行换热器性能测试的方法
By combining a digital twin system with AI and CFD simulation technologies, visualization of heat exchanger working fluid flow and real-time performance monitoring are achieved. This solves the problem that existing technologies cannot assess operating conditions and the difference between design and actual environment, and provides efficient operation optimization and prediction functions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XI AN JIAOTONG UNIV
- Filing Date
- 2022-12-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing heat exchanger technologies cannot visualize the working fluid flow, cannot provide timely feedback on heat load and heat exchange performance of each section, make it difficult to assess operating conditions, predict lifespan, have significant differences between design and actual operating environment, make it difficult to adjust optimal operating parameters, have limited applicability, and cannot achieve accurate simulation and safety monitoring of gas-liquid two-phase flow.
By employing a digital twin system, combined with AI learning modules, data acquisition modules, control modules, 3D modeling modules, and CFD simulation calculation modules, heat exchanger performance testing is achieved. Through machine learning and simulation calculations, heat exchanger operation is monitored and optimized in real time, providing visualization, real-time feedback, and prediction functions for working fluid flow.
It enables visualization of working fluid flow, provides real-time feedback on the performance of each section of the heat exchanger, reduces downtime maintenance costs, improves operating efficiency, predicts lifespan, optimizes design parameters, is applicable to various heat exchanger types, provides comprehensive and accurate operating information, and reduces the difficulty of supervision.
Smart Images
Figure CN115906711B_ABST