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📋📋📋本文目录如下：🎁🎁🎁
目录
💥1 概述
📚2 运行结果
🎉3 参考文献
🌈4 Matlab代码及文献
💥1 概述
文献：
摘要
本研究旨在调查R417A、R422A、R422D和R438A制冷剂作为R22的替代品在商用制冷系统中的性能。为此，首先计算了实验装置中所使用的所有制冷剂的制冷量和性能系数（COP）值。然后，提出了两种方法，皮尔逊相关相似性分析（PCSA）和基于表面温度的COP（COPST），分别使用红外图像分析评估每种替代制冷剂和R22的成功度。数学方法得到的COP值为R22 4.07，R438A 3.88，R417A 3.63，R422D 3.37和R422A 3.18。COP值和PCSA值（R438A 0.9425，R417A 0.9343，R422D 0.9167和R422A 0.9080）都显示了R22制冷剂与其他制冷剂之间的接近程度。同样，COPST方法显示了R22 6.8865，R438A 5.9539，R417A 5.3273，R422D 4.9898和R422A 4.3057的值，而且与其他两种方法的顺序相同，证明了它在性能测试应用中具有可操作性，并通过红外图像处理成功进行了远程性能分析。从PCSA和COPST方法得到的实验结果的顺序与COP计算方法的一致性证明了红外成像的功效，可以成功地进行制冷系统的远程性能分析。
关键词：臭氧消耗潜势（ODP）·全球变暖潜势（GWP）·红外图像处理·皮尔逊相关相似性分析·性能系数（COP）
📚2 运行结果
部分代码：
% Read in a demo image.
originalRGBImage = imread(fullFileName);
% Display the image.
subplot(2, 3, 1);
imshow(originalRGBImage, []);
axis on;
caption = sprintf('Original Pseudocolor Image, %s', baseFileName);
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Column', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Row', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
grayImage = min(originalRGBImage, [], 3); % Useful for finding image and color map regions of image.
%=========================================================================================================
% Need to crop out the image and the color bar separately.
% First crop out the image.
imageRow1 = 1;
imageRow2 = 240;
imageCol1 = 1;
imageCol2 = 307;
% Crop off the surrounding clutter to get the RGB image.
rgbImage = originalRGBImage(imageRow1 : imageRow2, imageCol1 : imageCol2, :);
% imcrop(originalRGBImage, [20, 40, 441, 259]);
% Next, crop out the colorbar.
colorBarRow1 = 31;
colorBarRow2 = 180;
colorBarCol1 = 307;
colorBarCol2 = 314;
% Crop off the surrounding clutter to get the colorbar.
colorBarImage = originalRGBImage(colorBarRow1 : colorBarRow2, colorBarCol1 : colorBarCol2, :);
b = colorBarImage(:,:,3);
%=========================================================================================================
% Display the pseudocolored RGB image.
subplot(2, 3, 2);
imshow(rgbImage, []);
axis on;
caption = sprintf('Cropped Pseudocolor Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Column', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Row', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
hp = impixelinfo();
% Display the colorbar image.
subplot(2, 3, 3);
imshow(colorBarImage, []);
axis on;
caption = sprintf('Cropped Colorbar Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Column', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Row', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')
% Read in a demo image.
originalRGBImage = imread(fullFileName);
% Display the image.
subplot(2, 3, 1);
imshow(originalRGBImage, []);
axis on;
caption = sprintf('Original Pseudocolor Image, %s', baseFileName);
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Column', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Row', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
grayImage = min(originalRGBImage, [], 3); % Useful for finding image and color map regions of image.
%=========================================================================================================
% Need to crop out the image and the color bar separately.
% First crop out the image.
imageRow1 = 1;
imageRow2 = 240;
imageCol1 = 1;
imageCol2 = 307;
% Crop off the surrounding clutter to get the RGB image.
rgbImage = originalRGBImage(imageRow1 : imageRow2, imageCol1 : imageCol2, :);
% imcrop(originalRGBImage, [20, 40, 441, 259]);
% Next, crop out the colorbar.
colorBarRow1 = 31;
colorBarRow2 = 180;
colorBarCol1 = 307;
colorBarCol2 = 314;
% Crop off the surrounding clutter to get the colorbar.
colorBarImage = originalRGBImage(colorBarRow1 : colorBarRow2, colorBarCol1 : colorBarCol2, :);
b = colorBarImage(:,:,3);
%=========================================================================================================
% Display the pseudocolored RGB image.
subplot(2, 3, 2);
imshow(rgbImage, []);
axis on;
caption = sprintf('Cropped Pseudocolor Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Column', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Row', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
hp = impixelinfo();
% Display the colorbar image.
subplot(2, 3, 3);
imshow(colorBarImage, []);
axis on;
caption = sprintf('Cropped Colorbar Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
xlabel('Column', 'FontSize', fontSize, 'Interpreter', 'None');
ylabel('Row', 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')
🎉3 参考文献
文章中一些内容引自网络，会注明出处或引用为参考文献，难免有未尽之处，如有不妥，请随时联系删除。
[1]Katircioğlu, F., Cingiz, Z., Çay, Y., Gürel, A. E., & Kolip, A. (2021). Performance Assessment of a Refrigeration System Charged with Different Refrigerants Using Infrared Image Processing Techniques. Arabian Journal for Science and Engineering, 46(12), 12009-12028.
