物理与工程2026，Vol.36Issue(3)：79-86,91,9.DOI:10.27024/j.wlygc.2025.12.18.01
微波阻抗变换器教学交互式系统开发及验证
DEVELOPMENT AND VERIFICATION OF AN INTERACTIVE TEACHING SYSTEM FOR MICROWAVE IMPEDANCE TRANSFORMERS
谭兆祥 1岳玲娜 1龚梓杰 1尹鹏程 1魏彦玉 1顾晨 2赖凌峰3
作者信息
- 1. 电子科技大学电子科学与工程学院,四川 成都 611731
- 2. 清华大学物理系,北京 100084
- 3. 北京原力辰超导技术有限公司,北京 100085
- 折叠
摘要
Abstract
To address the limitations of traditional Coriolis-force experiments,such as coarse measurements and limited functionality,this study develops an intelligent platform for the demonstration and investigation of Coriolis dynamics.The platform adopts an end-cloud col-laborative distributed architecture:the front end consists of an STM32 control unit and a K230 vision-acquisition module for multi-source data collection,while the PC-based back end integrates Bluetooth and Wi-Fi data transmission.By incorporating a YOLOv8-based object-detection model,the system enables real-time trajectory tracking and synchronous comparison between theoretical predictions and experimental measurements.Performance evaluation shows that the platform achieves a spatial resolution of 0.667mm/pixel,an end-to-end latency of less than 1.320s,and an R2 value above 0.99 between YOLO-extracted experimental traj-ectories and theoretical trajectories over 50 repeated trials under identical conditions,demon-strating high precision,real-time performance,and strong reliability.Through two represent-ative experiments—ball-motion deflection and fluid erosion—the platform supports both intui-tive visualization of classical physical laws and in-depth exploration of complex nonlinear phe-nomena.By integrating the Mamba model with physics-informed neural networks(PINNs),together with semi-supervised learning and self-attention mechanisms,the platform can pre-dict the outcomes of fluid-erosion experiments and infer the dominant physical mechanisms governing the erosion process directly from experimental data.This work provides a complete and practical solution for the modernization and intelligent upgrading of traditional physics ex-perimental platforms.关键词
阻抗匹配/二项式阻抗变换器/切比雪夫阻抗变换器/Python/教学工具Key words
Impedance matching/Binomial impedance transformer/Chebyshev impedance transformer/Python/Educational tool引用本文复制引用
谭兆祥,岳玲娜,龚梓杰,尹鹏程,魏彦玉,顾晨,赖凌峰..微波阻抗变换器教学交互式系统开发及验证[J].物理与工程,2026,36(3):79-86,91,9.
