Temperature Measurement System of Roller Kiln Based on Colorimetry

2014 ◽  
Vol 602-605 ◽  
pp. 1818-1822
Author(s):  
Hua Jia ◽  
Xiao Yang Guo ◽  
Ying Chao Dai ◽  
Jian Shuai Wu

In order to overcome the shortcomings of the traditional temperature measurement method which can only acquire the single point temperature or local temperature in the production process of roller kiln, In this paper, according to the principle of colorimetric temperature measurement, using the method of image preprocessing, designed a temperature measurement system based on CCD image sensor. The system can monitor and measurement the internal temperature of the roller kiln, and can obtain the global distribution of temperature field. According to the standard value method ,the system is calibrated using a blackbody furnace, to increase the detection precision and accuracy of temperature.The experimental results show that the system has high accuracy, can real-time reflect the global temperature field distribution of the roller kiln ,and the system has the great potential of industrial application.

2014 ◽  
Vol 602-605 ◽  
pp. 1984-1987
Author(s):  
Ming Quan Yang ◽  
Mei Zhao ◽  
Fei Guo ◽  
Hong Wei Wang

Use the photoelectric device-linear CCD as a measurement tool, and use the SCM for the data acquisition and data processing, a diameter measurement system which is a low costing, high-precision, non direct contact, can be created. The system can provide diameter real-time monitor to pipe production process.


2014 ◽  
Vol 530-531 ◽  
pp. 146-150
Author(s):  
Fan Wei Meng ◽  
Qing Tian ◽  
You Liang Yang

Wavelength and other factors have a deep influence on temperature measurement system based on CCD image sensor. Deviations between measurement values sometimes are large. In order to reduce error, the temperature outputs in different wavelength combinations do have multi-sensor correlation properties in point of colorimetric temperature measurement system view. The colorimetric temperature measurement algorithm based on real-time adaptive weighted is put forward by such performance index that minimum of standard deviation. According to measured value of each sensor, we will find out the corresponding weights in adaptive manner. And discuss the statistical properties of the estimated standard deviation. Estimation unbiasedness is proved. The algorithm has the following advantages .A much smaller amount of calculation, without any a priori knowledge, only relying on the output of each sensor. All of these make temperature estimation be optimal, measurement accuracy and the real-time performance of the system are improved. Theoretical analysis and experimental results show that the colorimetric temperature measurement algorithm based on the real-time adaptive weighted improves obviously when comparing with the traditional means algorithm in measurement accuracy.


2010 ◽  
Vol 40-41 ◽  
pp. 21-26
Author(s):  
Ge Zhu ◽  
Li Na Lou ◽  
Xian Quan Wang ◽  
Jing Luo

The article proposed a kind of new measuring technique suitable for pellet outer diameter --shading of measurement, using high quality laser as the light, linear CCD image sensor TCD1206 acts testing device, TCD1206 produced drive without delay by single-chip microcomputer, process pellet outer diameter signal coming from TCD1206 by floating threshold method of binary, finally the processed binary signals send back to the single-chip microcomputer, through MAX232 serial communication transfer to PC for displaying. The whole process realizes real-time detection to pellet outer diameter, and makes measurement system had higher precision.


Author(s):  
Maksim E. Cherniak ◽  
Roman K. Mozhaev ◽  
Alexander A. Pechenkin ◽  
Dmitry V. Boychenko ◽  
Alexander Y. Nikiforov

2021 ◽  
Vol 17 (5) ◽  
pp. 155014772110181
Author(s):  
Wei-Ling Lin ◽  
Chun-Hung Hsieh ◽  
Tung-Shou Chen ◽  
Jeanne Chen ◽  
Jian-Le Lee ◽  
...  

Today, the most serious threat to global health is the continuous outbreak of respiratory diseases, which is called Coronavirus Disease 2019 (COVID-19). The outbreak of COVID-19 has brought severe challenges to public health and has attracted great attention from the research and medical communities. Most patients infected with COVID-19 will have fever. Therefore, the monitoring of body temperature has become one of the most important basis for pandemic prevention and testing. Among them, the measurement of body temperature is the most direct through the Forehead Thermometer, but the measurement speed is relatively slow. The cost of fast-checking body temperature measurement equipment, such as infrared body temperature detection and face recognition temperature machine, is too high, and it is difficult to build Disease Surveillance System (DSS). To solve the above-mentioned problems, the Intelligent pandemic prevention Temperature Measurement System (ITMS) and Pandemic Prevention situation Analysis System (PPAS) are proposed in this study. ITMS is used to detect body temperature. However, PPAS uses big data analysis techniques to prevent pandemics. In this study, the campus field is used as an example, in which ITMS and PPAS are used. In the research, Proof of Concept (PoC), Proof of Service (PoS), and Proof of Business (PoB) were carried out for the use of ITMS and PPAS in the campus area. From the verification, it can be seen that ITMS and PPAS can be successfully used in campus fields and are widely recognized by users. Through the verification of this research, it can be determined that ITMS and PPAS are indeed feasible and capable of dissemination. The ITMS and PPAS are expected to give full play to their functions during the spread of pandemics. All in all, the results of this research will provide a wide range of applied thinking for people who are committed to the development of science and technology.


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