微控制器上的热场重建:使用拉普拉斯方程和实时传感器数据的物理信息数字双胞胎
Victor H Benitez1, Jesus Pacheco1, Agustín Brau1
1Department of Industrial Engineering, Universidad de Sonora, Hermosillo 83000, Mexico.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了基于物理的数字双胞胎,用于实时监测金属板的热量. 该系统准确地重建热场,展示了嵌入式边缘部署和教育应用的潜力.
科学领域:
- 物理
- 工程
- 计算机科学
背景情况:
- 实时的热监测对于诊断和控制至关重要.
- 数字双胞胎为模拟和可视化物理系统提供了强大的方法.
- 准确的边界条件获取对于可靠的热场重建至关重要.
研究的目的:
- 开发和演示基于物理的数字双胞胎,用于实时监测金属板的热量.
- 实施一个高效的嵌入式系统,同时获取和计算数据.
- 验证数字双胞胎系统的准确性和同步运行.
主要方法:
- 一个带有板和热敏电阻的物理层用于边界条件测量.
- 一个通过有限差异方法解决平稳状态拉普拉斯方程的计算层.
- 使用DMA驱动的模拟到数字转换器 (ADC) 来获取数据的嵌入式系统.
- 一个基于Python的接口,用于实时可视化计算的热场.
- 斯坦哈特-哈特模型用于实验传感器表征.
主要成果:
- 在稳定状态条件下准确的空间重建热场,可接受的误差幅度.
- 在物理系统和数字双胞胎之间证明了运行并发性.
- 通过串行接口成功对热场进行实时可视化.
- 使用斯坦哈特-哈特模型进行热敏电阻的实验性表征确保了准确的边界数据.
结论:
- 开发的基于物理的数字双胞胎提供了有效的实时热监测和可视化.
- 紧和模块化架构可以适应由圆偏微分方程 (PDEs) 控制的其他物理领域.
- 该系统适用于教育目的,诊断原型以及嵌入式边缘计算应用.
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