Design and fabrication of optical filters for infrared imaging temperature measurement

Optik ◽  
2021 ◽  
Vol 247 ◽  
pp. 167994
Author(s):  
Yongqiang Pan ◽  
Huan Liu ◽  
Zhiqi Zheng
2016 ◽  
Vol 53 (9) ◽  
pp. 091201
Author(s):  
刘永翔 Liu Yongxiang ◽  
张健 Zhang Jian ◽  
杜永成 Du Yongcheng

2008 ◽  
Vol 62 (10) ◽  
pp. 1049-1059 ◽  
Author(s):  
Yusuf Sulub ◽  
Gary W. Small

Methodology is developed for simulating the radiance profiles acquired from airborne passive multispectral infrared imaging measurements of ground sources of volatile organic compounds (VOCs). The simulation model allows the superposition of pure-component laboratory spectra of VOCs onto spectral backgrounds that simulate those acquired during field measurements conducted with a downward-looking infrared line scanner mounted on an aircraft flying at an altitude of 2000–3000 ft (approximately 600–900 m). Wavelength selectivity in the line scanner is accomplished through the use of a multichannel Hg:Cd:Te detector with up to 16 integrated optical filters. These filters allow the detection of absorption and emission signatures of VOCs superimposed on the upwelling infrared background radiance within the instrumental field of view (FOV). By combining simulated radiance profiles containing analyte signatures with field-collected background signatures, supervised pattern recognition methods can be employed to train automated classifiers for use in detecting the signatures of VOCs during field measurements. The targeted application for this methodology is the use of the imaging system to detect releases of VOCs during emergency response scenarios. In the work described here, the simulation model is combined with piecewise linear discriminant analysis to build automated classifiers for detecting ethanol and methanol. Field data collected during controlled releases of ethanol, as well as during a methanol release from an industrial facility, are used to evaluate the methodology.


2010 ◽  
Vol 443 ◽  
pp. 394-399 ◽  
Author(s):  
Zhen Guo Zhang ◽  
Pei Qi Ge ◽  
Lei Zhang ◽  
Mao Cheng Tian

Based on the method of the statistical probability, the theory forecasting model of grinding force is modified analytically. The calculated force is used as an input factor to calculate the heat flux. Then the transient grinding temperature field is simulated using the finite element analysis (FEA). An infrared imaging system for a full area temperature measurement is used to validate the numerical model. Additionally, the experimental results are synthesized with the simulation results to analyze the temperature field and the hardness penetration depth (HPD). The distribution of the temperature field and the stability of the grind-hardening process are discussed, which could provide a reliable forecasting method for optimizing the grind process and controlling the hardening effects forwardly.


2015 ◽  
Vol 24 (4) ◽  
pp. 1102-1110 ◽  
Author(s):  
Dhirendra Kumar Tripathi ◽  
Fei Jiang ◽  
Ramin Rafiei ◽  
K. K. M. B. Dilusha Silva ◽  
Jarek Antoszewski ◽  
...  

Author(s):  
Kerrie L Farrar ◽  
Amy E Field ◽  
Sarah L Norris ◽  
Kenneth O Jacobsen

Infrared thermometry (IRTM) is a noncontact method to measure temperature. The purpose of this study was to compare rectal temperature and IRTM in healthy anesthetized swine, with the hypothesis that IRTM would be an accurate, noninvasive alternative for rectal temperature measurement. Two groups of female Yorkshire-cross swine (n = 14 and n = 12) were sedated with Tiletamine–zolazepam (0.5 mg/kg) for blood collection during a routine physical examination. While sedated, rectal temperatures were measured using a SureTemp Plus 690 (Welch Allyn) and IRTM measurements were taken using a FLIR E5 thermal imaging camera. The 2 anatomic sites used for thermography measurements were the area surrounding the eye and the neck at the base of the ear. The distance from the imaging camera and the animal during IRTM measurements was 24 to 32 inches, a distance that would allow camera access in a standard swine enclosure. The infrared imaging camera's surface temperature measurement exhibited a proportional bias when compared with the rectal temperature. All rectal temperature measurements were between 98.7 °F to 101.3 °F, with a mean temperature of 100.4 °F. IRTM tended to underestimate rectal temperatures at lower values, and overestimate rectal temperatures at higher values by approximately (+) or (-) 0.8 °F of rectal temperature. Infrared thermometry can provide a quick noninvasive assessment of the body surface temperature, without the need for animal handling or restraint, but should not be considered an accurate replacement for rectal temperature measurement.


Food Control ◽  
2017 ◽  
Vol 75 ◽  
pp. 211-219 ◽  
Author(s):  
R. Badia-Melis ◽  
J.P. Emond ◽  
L. Ruiz-García ◽  
J. Garcia-Hierro ◽  
J.I. Robla Villalba

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