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Related Concept Videos

Temperature Measurement Sites01:14

Temperature Measurement Sites

3.8K
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...
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Thermosensation01:43

Thermosensation

34.5K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
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Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

2.0K
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,...
2.0K
Assessing Body Temperature - Axilla01:14

Assessing Body Temperature - Axilla

1.6K
Procedural Guide for Assessing Axillary Body Temperature using a Digital Thermometer:
Step 1: Perform hand hygiene and put on clean gloves to maintain infection control and prevent cross-contamination.
Step 2: Prepare the patient by explaining the procedure to ensure understanding and cooperation. Ensure privacy, expose the axilla, and inform the patient that minimal movement is crucial for an accurate reading.
Step 3: Adjust the patient’s clothing to expose only the axilla. It minimizes...
1.6K
Thermal Stress01:09

Thermal Stress

3.4K
If the temperature of an object is changed while it is prevented from expanding or contracting, the object is subjected to stress. The stress is compressive if the object expands in the absence of constraint and tensile if it contracts. This stress resulting from temperature change is known as thermal stress. It can be quite large and can cause damage. To avoid this stress, engineers may design components so they can expand and contract freely. For instance, on highways, gaps are deliberately...
3.4K

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Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
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Development of Light Powered Sensor Networks for Thermal Comfort Measurement.

Dasheng Lee1

  • 1Department of Energy and Refrigerating Air-conditioning Engineering, National Taipei University of Technology, Taipei, Taiwan. f11167@ntut.edu.tw.

Sensors (Basel, Switzerland)
|November 23, 2016
PubMed
Summary

This study introduces a novel light-powered wireless sensor network for thermal comfort monitoring. This system overcomes power supply challenges, enabling efficient air conditioning control and improving indoor comfort sensing.

Keywords:
CSVEnergy beacon enabled modeLight-powered sensor networksPMVThermal comfort

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Area of Science:

  • Wireless Sensor Networks
  • Thermal Comfort Measurement
  • Sustainable Energy Harvesting

Background:

  • Traditional sensor networks face power supply limitations (wired or battery) hindering deployment.
  • Wireless power transfer and data communication are crucial for advanced sensor network applications.
  • Accurate thermal comfort data is essential for optimizing air conditioning systems.

Purpose of the Study:

  • To develop a novel, light-powered wireless sensor network for thermal comfort measurements.
  • To enable wireless power transfer and data communication for distributed sensor nodes.
  • To improve the efficiency and applicability of sensor networks in air conditioning control.

Main Methods:

  • Constructed a sensor network powered by artificial light, integrating multiple sensors (temperature, humidity, flow) and a microprocessor for Predicting Mean Vote (PMV) calculation.
  • Utilized a 935 MHz RF module with an energy beacon enabled mode for wireless data communication and zero power consumption during inactive periods.
  • Developed a maximum entropy method algorithm to estimate climate parameters when sensor node responses are not received.

Main Results:

  • The light-powered sensor network successfully gathered indoor comfort-sensing index levels.
  • The system demonstrated good agreement between measured data and human-preferred comfort-sensing votes (CSV).
  • The spotlight powered the sensor nodes effectively up to 5 meters.

Conclusions:

  • The developed light-powered sensor network offers a viable solution to power supply challenges in wireless sensing systems.
  • The system is suitable for air conditioning applications, enabling a comfort-optimal control strategy.
  • This technology advances sustainable and efficient indoor environmental monitoring.