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相关概念视频

Temperature Measurement Sites01:14

Temperature Measurement Sites

2.2K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
2.2K
Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

1.2K
Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...
1.2K

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相关实验视频

Updated: Sep 16, 2025

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
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A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

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高精度和低复杂度的波导集成温度传感器系统

Zhiming Zhang1, Haole Kong1, Yi Li1

  • 1College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新型的波导体温度传感器,具有高灵敏度和低复杂性. 它使用先进的模拟和机器学习实现高达100°C的精确测量,分辨率为2.87mK.

关键词:
卷积神经网络是一种卷积神经网络.波导是一种波导.温度传感器温度传感器温度传感器

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Fabrication and Testing of Photonic Thermometers
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Fabrication and Testing of Photonic Thermometers

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Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

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科学领域:

  • 光子学和传感技术
  • 集成光学 集成光学 集成光学
  • 机器学习应用 机器学习应用

背景情况:

  • 传统的温度传感器通常面临着灵敏度,复杂性或成本的限制.
  • 光子学为集成光学设备提供了一个平台,具有增强传感能力的潜力.

研究的目的:

  • 开发一种高灵敏度,低复杂度的集成温度传感器,采用波导.
  • 优化传感器设计,以实现高效的数据收集和精确的温度调节.

主要方法:

  • 有限差异时间域 (FDTD) 模拟用于波导布局优化.
  • 实施一个压缩的形结构,以改善斑点数据收集.
  • 卷积神经网络 (CNN) 用于非线性温度调节的应用.

主要成果:

  • 在-20°C至100°C的范围内证明了温度测量能力.
  • 达到0.00287°C (2.87mK) 的最佳温度分辨率.
  • 验证的测量分辨率和可靠性与理论值相比.

结论:

  • 拟议的波导传感器为高分辨率温度传感提供了一种新且有效的方法.
  • 整合FDTD模拟和基于CNN的模拟显著提高了传感器性能,并降低了系统的复杂性.
  • 这项技术对需要精确且具有成本效益的温度监测的各种应用具有前景.