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Green building considering image processing technology combined with CFD numerical simulation

APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2022年第1期8卷 1707-1718页

作者： Yin, Xiaojing Inner Mongolia Vocat & Tech Coll Architecture Sch Construct Engn Management Hohhot 010000 Inner Mongolia Peoples R China

In order to solve the increasing phenomenon of building energy consumption, the green building is deeply studied by combining image processing technology and CFD digital simulation technology. The research status of green building design is compared. The optimal green building design scheme is obtained by introducing CFD numerical simulation method, introducing finite element Navier -Stokes equation, equation turbulence model and so on. This paper analyzes the design optimization of modern green buildings, and explores the application of CFD numerical simulation technology in green building design. In practice, combined with the practice of CFD in the research project, this paper studies the five evaluation indexes of CFD technology in green building design, such as land saving, water saving, energy saving, material saving and indoor environment. This paper verifies the possibility of using CFD technology in the process of green building design, and promotes the application of CFD in green building design by using CFD technology to assist green building evaluation standards in green building design.

关键词： image processing technology CFD numerical simulation Green building Outdoor wind environment CFD application

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Application and Analysis of image processing technology in Modernization

International Journal of Social Science and Education Resear...

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International Journal of Social Science and Education Research 2022年第3期5卷 90-93页

作者： Yujia Huo Jianghai Shen

With the development of computer, image processing technology is widely used in various fields of modernization, such as transportation, media, culture, industry and so on, which has greatly improved people's living standards. Therefore, based on the current situation and development of computer image processing technology, this paper studies the application of image processing technology in modernization, so as to provide guarantee for the development of modernization.

关键词： image processing technology Computer Modernization

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Identification of the geographic origin of peaches by VIS-NIR spectroscopy, fluorescence spectroscopy and image processing technology

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JOURNAL OF FOOD COMPOSITION AND ANALYSIS 2022年第0期114卷

作者： Yang, Qinyi Tian, Shijie Xu, Huirong Zhejiang Univ Coll Biosyst Engn & Food Sci 866 Yuhangtang Rd Hangzhou 310058 Peoples R China Minist Agr & Rural Affairs Key Lab Site Proc Equipment Agr Prod Hangzhou 310058 Peoples R China

Identifying the geographic origin of peaches will not only help producers obtain higher economic benefits, but also enable consumers to buy the most satisfactory fruits. In this study, the feasibility of distinguishing the geographic origin of four traditional famous peaches in China by visible-near infrared spectroscopy, fluorescence spectroscopy and image processing technology was explored. Visible-near infrared spectra and fluorescence spectra of 397-1175 nm and color characteristics extracted from images were used to establish the support vector machine, k-nearest neighbor, random forest and extreme learning machine classification models. The factors most related to the geographic origin were found by decision tree analysis. The results showed that the support vector machine models had the highest classification accuracy, some reaching 100%. In order to improve the calculation speed, the spectral principal components were used, resulting in the accuracy of support vector machine, k-nearest neighbor and random forest models more than 95%. The decision tree showed that R value, the first principal component of fluorescence spectra and H value played a decisive role in identifying the geographic origin, leading to the accuracy of support vector machine, k-nearest neighbor and random forest models more than 95%. This study compared the advantages and disadvantages of visible-near infrared spec-troscopy, fluorescence spectroscopy and image processing technology in identifying geographic origin, and found that the combination of these three methods could effectively distinguished the geographic origin of peaches.

关键词： Peach Geographic origin identification VIS-NIR spectroscopy Fluorescence spectroscopy image processing technology Classification models

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Mango Classification System Uses image processing technology and Artificial Intelligence

Mango Classification System Uses Image Processing Technology...

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International Conference on System Science and Engineering (ICSSE)

作者： Nguyen Duc Thong Nguyen Truong Thinh Huynh Thanh Cong Dong Thap Univ Fac Educ Phys Chem Biol Cao Lanh City Dong Thap Vietnam Ho Chi Minh City Univ Technol & Educ Fac Mech Engn Ho Chi Minh City Vietnam Ho Chi Minh City Univ Technol VNU HCMC Fac Engn Mech Engn Ho Chi Minh City Vietnam

ISBN: (纸本)9781728105253

The classification of mango in Vietnam and the world is being carried out mainly by direct labor of farmers using time-consuming and less efficient observations or some non-specialized machines and results for productivity not high, high cost, sorting out different types of mangoes is relatively costly. World studies of mango classification according to color, size, volume and almost done in the laboratory but not yet applied in practice. The quality assessment of mango fruit has not been resolved. So it is necessary to study image processing techniques;collect and build a database of photos of some types of mangoes in Vietnam;studying mango quality approaches and techniques, examining mango surfaces that are deep, withered, porous, deformed mangoes, ripening on mango fruit;application of image processing technology, computer vision combined with artificial intelligence in the problem of mango classification or poor quality. The goal of the study is to create a system that can classify mangoes in terms of color, volume, size, shape and fruit density. The classification system using image processing incorporates artificial intelligence including the use of CCD cameras, C language programming, computer vision and artificial neural networks. The system uses the captured mango image, processing the split layer to determine the mass, volume and defect on the mango fruit surface. This article is about the development of an automatic mango classification system using image processing technology combining artificial intelligence to control and evaluate mango quality before packaging and exporting to the market.

关键词： The classification of mango Sorting of Mangoes image processing technology Artificial intelligence Computer vision Artificial neural networks

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Detection of Print Head Defect Based on image processing technology 10th

Detection of Print Head Defect Based on Image Processing Tec...

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10th European-Alliance-for-Innovation (EAI) International Conference on Wireless and Satellite Systems (WiSATS)

作者： Zhao, Zhanfeng Liu, Duo Wang, Longwei Harbin Inst Technol Weihai Weihai Peoples R China

ISBN: (纸本)9783030191535;9783030191528

In the detection of dead pixels in the print head, this paper innovatively proposes a dead pixel detection algorithm based on image processing technology for the low efficiency of manual detection and high labor cost. Firstly, the ROI is extracted based on the maximum connected region. Secondly, the binarized image is preprocessed by morphological processing, and then the texture is extracted based on the periodic structural features of the image. The specific steps of texture extraction are as follows: Firstly, this paper locates the largest connected area and gains the row and column of the connected area according to the polynomial fit. Secondly, according to the up and down translation, a column of texture regions is obtained, and then other texture regions are obtained according to the left and right translation. In addition, the Canny operator is used to detect the edge of the image, getting an image with texture edges and dead pixels. Perform a close operation on the image to remove dead pixels, and then subtracted from the original image, the dead pixels in the print head can be detected. The experimental results show that the algorithm not only can accurately detect the dead pixels in the print head image, but also has low complexity and short processing time, which is good for engineering practicability.

关键词： Dead pixel detection image processing technology Texture extraction Canny operator

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Cloud sharing defect monitoring system based on image processing technology

Cloud sharing defect monitoring system based on image proces...

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作者： Danfeng Chen School of Information Engineering Wuhan University of Technology

At present, there are a series of monitoring systems for defects in various products in the industry, but various monitoring systems have certain limitations and deficiencies in the current market application. Therefore, after a series of reflections and improvements, a cloud-based shared defect monitoring system based on image processing technology was established to locate the defect's product with the highest efficiency, analyze and guide subsequent repair and treatment solutions, upload the data to the cloud, and share it with the production department, quality Inspecting departments, management departments and other users, constantly test and optimize, and ultimately improve product quality.

关键词： defect detection cloud sharing precision image processing technology

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Experimental study of defrosting control method based on image processing technology for air source heat pumps

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SUSTAINABLE CITIES AND SOCIETY 2019年 51卷 101667-000页

作者： Zheng, Xuejing Shi, Rui You, Shijun Han, Yong Shi, Kaiyu Tianjin Univ Sch Environm Sci & Engn Tianjin 300350 Peoples R China Tianjin Univ Minist Educ China Key Lab Efficient Utilizat Low & Medium Grade Ene Tianjin 300350 Peoples R China Guangzhou Metro Design & Res Inst Co Ltd Guangzhou 510010 Guangdong Peoples R China

Air source heat pump (ASHP) technology is widely accepted as a heating and cooling source for the merits of energy saving and environmental protection. However, the mal-defrosting phenomenon caused by indirect-measurement-based defrosting control method is a prominent concern. To avoid mal-defrosting phenomena, Temperature-Humidity-image (T-H-I) method, a novel defrosting control method based on image processing technology was proposed in this paper. Frost visual characteristics were quantified by image preprocessing, grayscale conversion and mull-threshold segmentation technology. Non-frosting zone, moderate frosting zone and severe frosting zone were distinguished. The frosting coefficient P was introduced to evaluate the degree of frosting. Optimal criterion judgment for defrosting initiation (P-1 = 0.3) and termination (P-2 = 0.05) was determined and its applicability was verified under various environmental conditions. Both the performance of the commonly used Temperature-Time (T-T) method and the T-H-I method were investigated. The results show that 'belated defrosting' and 'unnecessary defrosting' phenomena are inevitably found under the T-T method due to the lack of direct control information, while the T-H-I method could detect the formation of frost layer directly, thus making more reasonable defrosting decisions. The proposed T-H-I method demonstrates obvious advantages in avoiding mal-defrosting phenomena and therefore has a promising application prospect in ASHP technology.

关键词： Temperature-Humidity-image defrosting control method image processing technology Mal-defrosting phenomenon Air source heat pump

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Digital image processing technology Based on MATLAB 2018

Digital Image Processing Technology Based on MATLAB

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4th International Conference on Virtual Reality (ICVR)

作者： Meng, Xin Shandong Lab Vocat & Tech Coll Jinan Shandong Peoples R China

ISBN: (纸本)9781450364089

This essay analyses the development of digital image processing technology and the function of MATLAB. Individuals could make a further understanding about the operation and application range by learn the introduction. In addition, using typical examples, this essay briefly describes its application in medical image processing, materials research, surveillance video filtering and the role of experiment teaching. At last, through analyzing results of experiments, it could satisfy the demands of image analysis and processing.

关键词： Digital image image processing technology MATLAB

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Mobile robot location algorithm based on image processing technology

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EURASIP JOURNAL ON image AND VIDEO processing 2018年第1期2018卷 1页

作者： Wu, Guifeng Zheng, Jie Bao, Jiatong Li, Shengquan Yangzhou Univ Dept Elect Engn 196 Huayang West Rd Yangzhou 225127 Jiangsu Peoples R China

To improve the reconfigurable micro mobile robot cluster system based on precision detection, a positioning and tracking system based on computer digital image processing technology was developed. The system consisted of three subsystems: image acquisition and preprocessing subsystem, rapid positioning subsystem based on robot marker recognition, and tracking subsystem based on position estimation. First, after studying the related algorithms in the subsystem, the threshold selection method of adaptive gray weight conversion was proposed for image preprocessing. Then, a fast positioning method based on marker recognition for miniature mobile robots was proposed. The selection of micro-robot markers and the basis for judging the selection of moments were given. A triangular projection positioning method was implemented, and related experimental results were given. Finally, the windowing scanning algorithm was optimized. According to the speed and direction of the robot, a tracking algorithm for position estimation was proposed. Through the simulation experiment, the effect of system positioning tracking and the system reference time in 0.270s were given. The results showed that the system had high real-time performance.

关键词： Mobile robot Positioning and tracking image processing technology

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Application of image processing technology based on Matlab

Application of Image Processing Technology based on Matlab

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2018 International Conference on Data processing,Artificial Intelligence,and Communications(DPAIC 2018)

作者： Pingping Jia Weinan Normal University

In the actual computer image processing technology, most digital images are acquired by electronic devices and stored in a digital format in a database. In the process of acquiring images by electronic devices, there may be image blurring, image size is not standard, and image occupying space is too large. The problem is that image processing technology is to remove noise, image enhancement, image size, image compression, image recognition, etc. for such images. Matlab is literally translated into a matrix laboratory. It is an interactive environment and advanced computing language for high-end computing environments such as scientific computing, interactive programming and visualization. It can realize various functions such as data visualization, data analysis and algorithm development. Therefore, the application is very extensive. The article mainly introduces several image processing techniques based on Matlab.

关键词： Matlab image processing technology Application Study

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