Research and Design of an Intelligent Connected Sensor Training Platform
This paper addresses the issues of limited functionality and insufficient scalability in intelligent connected vehicle sensor training equipment within vocational education. A sensor training platform is designed, integrating traditional and intelligent sensors, which is applicable for competitions, teaching, innovation, and research. The platform utilizes the STM32 embedded system as the main control core, combined with LabVIEW upper computer software, to construct a multi-modal data acquisition, high-precision environmental perception, and intelligent processing system. Through modular hardware design, optimization of the embedded real-time system, and LabVIEW interactive design, the platform not only meets the needs of basic teaching but also supports innovative practices in engineering fields such as intelligent connected vehicles. It provides technical support for the integration of theory and practice in vocational education.
Authors
- Yongyun Zhu (ORCID: https://orcid.org/0000-0002-3059-9232)
- Ting Zhang (ORCID: https://orcid.org/0000-0002-5748-9754)
- Lanlan Li (ORCID: https://orcid.org/0000-0002-9759-3230)
- Jiajia Li (ORCID: https://orcid.org/0000-0002-8609-900X)
Institutions
- North Sichuan Medical University (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/icsi64877.2025.11009849
- Primary Topic
- Innovative Educational Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00