Three-Band Infrared Thermal Imaging Temperature Measurement Method for Sea Surface

2018 ◽  
Vol 55 (6) ◽  
pp. 061205
Author(s):  
王平 Wang Ping ◽  
杨立 Yang Li ◽  
寇蔚 Kou Wei ◽  
金方圆 Jin Fangyuan ◽  
杜永成 Du Yongcheng
Keyword(s):  
Temperature Measurement ◽  
Thermal Imaging ◽  
Measurement Method ◽  
Sea Surface ◽  
Infrared Thermal Imaging

Colorimetric properties and application of temperature indicator thermochromic pigment for thermal woven textile

2018 ◽  
Vol 89 (15) ◽  
pp. 3098-3111 ◽  
Author(s):  
Yuanfang Zhao ◽  
Li Li
Keyword(s):  
Temperature Measurement ◽  
Thermal Imaging ◽  
Temperature Sensor ◽  
Color Difference ◽  
Blue Pigment ◽  
Infrared Thermal Imaging ◽  
Imaging Camera ◽  
Woven Textile ◽  
Thermochromic Pigment ◽  
Selection Of

Currently, the thermometer, infrared thermal imaging camera and temperature sensor are the main instruments for the temperature measurement of thermal products. However, these instruments are either inconvenient or too expensive to afford. For researchers, these are common to approach, whereas for designers or salespeople who work in the thermal textile field, new tools that are more convenient to access, easily affordable and have design possibilities need to be invented. This study aims to select a temperature indicator thermochromic pigment amount of four pigments (red, yellow, green and blue) for thermal woven textiles by analyzing the colorimetric properties and making a fast indicator demonstration prototype to achieve the concept. The pigment samples are heated respectively and the decolorization color at 40℃, 50℃, 60℃ and 70℃ under illuminant D65 are real-time measured by a spectroradiometer. The L*, a*, b*, ΔL*, Δa*, Δb*, K/ S and color difference CMC 2:1 values are calculated and analyzed. In this experiment, blue pigment has the best performance and thus results in the top selection of the indicator pigment, which is used in production for a fast, convenient and visualized temperature indicator for thermal woven textiles.

Thermal Imaging in Smart Applications

2017 ◽  
pp. 147-174
Author(s):  
Aqeel ur Rehman ◽  
Tariq Javid ◽  
Iqbal Uddin Khan ◽  
Ahmar Murtaza
Keyword(s):  
Embedded System ◽  
Temperature Measurement ◽  
Thermal Imaging ◽  
Infrared Detector ◽  
Irrigation Management ◽  
Physical Contact ◽  
Processing Unit ◽  
Infrared Thermal Imaging ◽  
Security Applications ◽  
Image Acquisition System

Temperature measurement is an essential requirement for a large number of smart applications in medicine, agriculture, environment, and security domains, to name but a few. Conventionally, temperature measurements are mostly performed using thermometers, thermocouples, thermistors, and resistance temperature detectors. Most of these instruments require physical contact with the object to measure temperature at specific points. Infrared thermography has revolutionized the concept of temperature measurement. Infrared thermal imaging (IRTI) can provide the temperature mapping without a physical contact with the object of interest from a reasonable distance. A typical IRTI system comprises of a thermal camera equipped with infrared detector, a signal processing unit and an image acquisition system, usually in the form of an embedded system. Such cameras are utilized for applications like fault detection, irrigation management, motion detection, etc. This chapter briefly introduces use of thermal imaging in medicine, agriculture, environment, smart home/cities and security applications.

Infrared thermal imaging denoising method based on second-order channel attention mechanism

2021 ◽  
pp. 103789
Author(s):  
Zhuo Li ◽  
Shaojuan Luo ◽  
Meiyun Chen ◽  
Heng Wu ◽  
Tao Wang ◽  
...  
Keyword(s):  
Thermal Imaging ◽  
Second Order ◽  
Attention Mechanism ◽  
Denoising Method ◽  
Infrared Thermal Imaging

scholarly journals Turbine Blade Three-Wavelength Radiation Temperature Measurement Method Based on Reflection Error Correction

2021 ◽  
Vol 11 (9) ◽  
pp. 3913
Author(s):  
Kaifeng Zheng ◽  
Jinguang Lü ◽  
Yingze Zhao ◽  
Jin Tao ◽  
Yuxin Qin ◽  
...  
Keyword(s):  
Temperature Measurement ◽  
Turbine Blade ◽  
Measurement Method ◽  
Turbine Blades ◽  
Target Surface ◽  
Maximum Error ◽  
Radiation Temperature ◽  
Average Error ◽  
Real Surface ◽  
Wavelength Radiation

The turbine blade is a key component in an aeroengine. Currently, measuring the turbine blade radiation temperature always requires obtaining the emissivity of the target surface in advance. However, changes in the emissivity and the reflected ambient radiation cause large errors in measurement results. In this paper, a three-wavelength radiation temperature measurement method was developed, without known emissivity, for reflection correction. Firstly, a three-dimensional dynamic reflection model of the turbine blade was established to describe the ambient radiation of the target blade based on the real surface of the engine turbine blade. Secondly, based on the reflection correction model, a three-wavelength radiation temperature measurement algorithm, independent of surface emissivity, was proposed to improve the measurement accuracy of the turbine blade radiation temperature in the engine. Finally, an experimental platform was built to verify the temperature measurement method. Compared with three conventional colorimetric methods, this method achieved an improved performance on blade temperature measurement, demonstrating a decline in the maximum error from 6.09% to 2.13% and in the average error from 2.82% to 1.20%. The proposed method would benefit the accuracy in the high-temperature measurement of turbine blades.

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