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相关概念视频

Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

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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,...
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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
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相关实验视频

Updated: Jul 20, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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多传感器,多设备智能建筑室内环境数据集

Ufuk Erol1, Francesco Raimondo1, James Pope1

  • 1University of Bristol, Bristol, UK.

Data in brief
|July 31, 2023
PubMed
概括
此摘要是机器生成的。

这个数据集提供了一个研究实验室的6个月的物联网传感器数据,包括环境因素和信号强度. 这是它它它它.

关键词:
数据的漂移数据的漂移环保 环境 环境 环境物联网的物联网,就是物联网.传感器 传感器 传感器智能建筑是智能建筑.时间序列数据集时间序列数据集

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科学领域:

  • 物联网 (IoT) 的物联网 (IoT) 的物联网.
  • 环境传感器环境传感器
  • 数据科学数据科学数据科学

背景情况:

  • 物联网 (IoT) 设备的扩散需要全面的数据集来开发和验证算法.
  • 研究实验室中的环境监测为了解微气候和设备性能提供了有价值的数据.
  • 现有的数据集可能缺乏高级异常或职业检测所需的细粒度或特定传感器类型.

研究的目的:

  • 呈现一套新型数据集,包括在现实研究实验室环境中部署的物联网设备的多传感器测量.
  • 为研究人员在漂移检测,异常检测和智能建筑应用方面提供宝贵的资源.
  • 促进开发和对分析时间序列传感器数据的算法进行基准测试.

主要方法:

  • 在六个月的时间内 (2022年2月至9月) 从8个北欧nRF52840 DK物联网设备收集数据.
  • 每10秒记录环境参数,包括温度,湿度,压力,气体,光强度和加速度计数据.
  • 包括每个设备的测量质量指标和接收信号强度指标 (RSSI).
  • 在每周的文件中将数据组织成时间标记,压缩的CSV文件,以进行高效的存储和检索.
  • 提供了一个 README.txt 文件,详细说明数据集结构和使用说明.

主要成果:

  • 一个全面的数据集的离散传感器测量成功地收集和策划.
  • 该数据集跨越了六个月,提供了丰富的环境和连接数据时间序列.
  • 数据以CSV格式轻松访问,与标准数据分析软件库兼容.

结论:

  • 介绍的物联网传感器数据集适用于各种应用,包括漂移和异常检测.
  • 这些数据可以用于智能建筑应用,例如占用检测和环境控制.
  • 该资源支持对物联网数据分析,传感器网络性能和机器学习应用的进一步研究.