scholarly journals Electro-thermal infrared scanning method for polycrystalline solar cells

1980 ◽  
Author(s):  
D. Green
Author(s):  
V.K. Evsyukova

The article discusses the practical significance of using the infrared scanning method to optimize the microclimate of wintering grounds for bee colonies in extreme conditions of the cryolithozone. When monitoring the microclimate by generally accepted zoohygienic methods, the devices record specific indicators of a particular parameter (temperature, humidity, air velocity, pressure, noise, light), while the reason for the deviation from the standard indicators for optimizing the microclimate is not always possible to find out. When using the infrared scanning method with the Irtis 2000SN thermal imager to determine the reasons for the deviation of the microclimate parameters from the standards, the following results were obtained: defects of enclosing structures were found: joints of walls and floor and joints of floor boards with a minus temperature of up to -21°C; the entrance group with a defect of heat leakage, warming the outdoor air to -36°C at an outdoor temperature of -48°C; the reason for the deviation of the air velocity of 0.18 m/s deviation from the standard by 0.08 m/s are defects of enclosing structures (Fig.7,8,12). The targeted elimination of the defects of the enclosing structures detected by infrared scanning made it possible to quickly optimize the parameters of the microclimate of the winter garden, thereby increasing the results of successful wintering of bee colonies. The analysis of the wintering results showed that the proportion of successful wintering in 2019 was 90%, which is 20% more than in 2018 and 30% more than in 2017


Author(s):  
Adrian-Bogdan Simon-Marinica ◽  
Gheorghe Daniel Florea ◽  
Zoltan Vass ◽  
Laurentiu Munteanu ◽  
Andrada Denisa Babut

1978 ◽  
Vol 7 (2) ◽  
pp. 177-184 ◽  
Author(s):  
David A. Pratt ◽  
Clif D. Ellyett ◽  
Errol C. McLauchlan ◽  
Peter McNabb

2021 ◽  
Vol 282 ◽  
pp. 07022
Author(s):  
V.K. Evsyukova ◽  
M.S. Savvinova ◽  
V.V. Sysolyatina ◽  
F.V. Nikolaeva ◽  
A.Ya. Fedorov

The article discusses the practical significance of the use of infrared scanning method for optimizing the microclimate of winter hives and monitoring bee colonies in extreme conditions of cryolithozone. When monitoring the microclimate by generally accepted zoohygienic methods, the devices record specific indicators of a particular parameter (temperature, humidity, air velocity, pressure, noise, light), while the reason for the deviation from the standard indicators for microclimate optimization is not always possible to find out. When using the infrared scanning method with the Irtis 2000SN thermal imager, it was possible to determine the reasons for the deviation of the parameters of the winter hive microclimate. The targeted elimination of defects in the enclosing structures detected by infrared scanning made it possible to quickly optimize the parameters of the winter hive microclimate. Contactless monitoring of the state of bee colonies during the winter dormancy. This early informative diagnosis without stress allows to identify a problem bee colony and take timely rescue measures. The analysis of the wintering results showed that the proportion of successful wintering in 2019 was 90%, which is 20% more than in 2018 and 30% more than in 2017.


Author(s):  
F. Manyakhin ◽  
R. Levchenko ◽  
L. Mokretsova

The photo scanning method is directed on the physical and mathematical study of the current condition of solar cells (SC). The device for receiving local efficiency of SC has been created. Surface scanning is carried out by the personal computer monitor. Special software has been developed for communicating with the device and controlling the process of receiving data from the SE. The software allows configuring diagnostics, data processing, and storage with a user interface. The configuration includes a choice of the diagnostic algorithm, the number of data reading cycles, and the color of the light spot. The results of the experiment displayed on the monitor screen in matrix form and visualized as an image. The program is designed to work with Windows OS. Experimental tests were carried out on monocrystalline solar cells based on silicon or perovskite. The results showed data repeatability and accuracy.


Author(s):  
L. Hoegner ◽  
N. Pfaffenzeller ◽  
L. Wagner ◽  
U. Stilla

<p><strong>Abstract.</strong> This paper discusses the automatic generation of thermal infrared ortho image mosaics and the extraction of solar cells from these ortho image mosaics. Image sequences are recorded by a thermal infrared (TIR) camera mounted on a remotely piloted aerial system (RPAS). The image block is relatively oriented doing a bundle block adjustment and transferred to a local coordinate system using ground control points. The resulting ortho image mosaic is searched for solar cells. A library of templates of solar cells from thermal images is used to learn an implicit shape model. The extraction of the single solar cells is done by estimating corners and centre points of cells using these shape models in a Markov-Chain-Monte-Carlo algorithm by combining four corners and a centre point. As for the limited geometric resolution and radiometric contrast, most of the cells are not directly detected. An iterative process based on the knowledge of the regular grid structure of a solar cell installation is used to predict further cells and verify their existence by repeating the corner extraction and grammar combination. Results show that this work flow is able to detect most of the solar cells under the condition that the cells have a more or less common radiometric behaviour and no reflections i.e. from the sun occur. The cells need a rectangular shape and have the same orientation so that the model of the grammar is applicable to the solar cells.</p>


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