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Theoretical and experimental study of a new defrost control strategy based on gray scale graph theory

INTERNATIONAL JOURNAL OF REFRIGERATION 2022年 139卷 214-224页

作者： Sun, Huan Zhu, Junda Liu, Xinghua Sun, Zhili Lei, Zhuoya Tianjin Univ Commerce Tianjin Key Lab Refrigerat Technol Tianjin 300134 Peoples R China

Frosting of the evaporators is inevitable during system operation. As such, defrosting must be conducted peri-odically to ensure stable and efficient operation of the system. However, the current control methods often cause ?mal-defrosting " due to the complexity and randomness of frosting. To improve the defrosting accuracy of the system a new detection method for the amount of frost was proposed based on the image processing gray scale image theory. Further, the theory of combining the frosting characteristic parameter St with gray contrast C of the frosting image to forecast the critical defrosting time t of the system was established. Through experiments, the best defrosting times (t(best1) and t(best2)) of the system were determined, compared with t. Additionally, a frosting error factor (FEF) was identified, compared with the St value of times(t(best1),t(best2) and t). The results show that there was a defrost lag in the defrost time determined by the existing defrost control method,the average time error TEF was by 177.25 s and 321 s. Finally, in view of the illumination effect, the influence of illumination intensity on the accuracy of the proposed method was explored. After changing the illumination intensity,new defrost control method still offers high control accuracy, TEF was by 64 s and 324 s. Overall, from the perspective of engineering applications, the proposed method can reduce the influence of illumination intensity on frosting image recognition, allowing the system to accurately judge the defrosting start point, thereby realising accurate defrosting.

关键词： Coldstorage Control method Frost characteristic parameter image processing technology

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Research on Crop Disease and Pest Surveillance based on Big Data and image processing Technologies

Research on Crop Disease and Pest Surveillance based on Big ...

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2024 International Conference on Information technology, Communication Ecosystem and Management, ITCEM 2024

作者： Yang, Yimei Yang, Yujun Shu, Huixia Zhao, Changhua Deng, Shaowei Huaihua418008 China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua418008 China Key Lab. of Wuling-Mt. Hlth. Big Data Intelligent Proc. and Applic. in Hunan Province Universities Huaihua Hunan418000 China

ISBN: (纸本)9798331542696

Recently, with the increasing complexity of agricultural systems and climate change, agricultural pest and disease surveillance and early detection have become critical tasks for guaranteeing food stability and promoting sustainable farming growth. Agricultural pest and disease surveillance is a key component of agricultural production, directly affecting crop yield and quality. As big data advances and image processing technologies rapidly, their application in crop pest and disease surveillance has become increasingly widespread. By integrating multi-source data, such as remote sensing data, meteorological data, ecological data, and pest and disease survey data, researchers can build more accurate and efficient pest and disease surveillance models. This paper reviews the research progress of big data and image processing technologies in crop pest and disease surveillance, analyzes the advantages and challenges of current technologies, and proposes future research directions to enhance the automation and intelligence of systems. Additionally, it discusses the integration of deep learning and other techniques to achieve efficient information mining and accurate retrieval of disaster-related data, aiming to provide scientific guidance and technical support for agricultural production. © 2024 IEEE.

关键词： Big Data Analysis image processing technology Pest and Disease Detection

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Application of image technology to simulate optimal frequency of automatic collection of volumetric soil water content data

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AGRICULTURAL WATER MANAGEMENT 2022年第0期269卷

作者： Wang, Jian Li, Xin Zhang, Zhenggui Li, Xiaofei Han, Yingchun Feng, Lu Yang, Beifang Wang, Guoping Lei, Yaping Xiong, Shiwu Xin, Minghua Wang, Zhanbiao Li, Yabing Chinese Acad Agr Sci State Key Lab Cotton Biol Inst Cotton Res Anyang 455000 Henan Peoples R China Hebei Agr Univ Coll Agron State Key Lab Cotton Biol Hebei Base Baoding 071001 Hebei Peoples R China Zhengzhou Univ Sch Agr Sci State Key Lab Cotton Biol Zhengzhou Res Base Zhengzhou 450001 Henan Peoples R China

Volumetric soil water content (VSWC) monitoring is an important aspect of environmental monitoring of farmland. Accurate and real-time determination of the VSWC is important for crop drought stress diagnosis and smart irrigation. image technology is commonly used in agricultural information technology. Based on image technology, we simulated the optimal frequency of the sensors to automatically collect VSWC data, thereby solving the problems of data redundancy and data analysis difficulties in real-time monitoring. In this study, a cotton field under mulched drip irrigation in 2018 was utilised as the research subject, 5TE sensors were arranged on the soil profile of the cotton field using the "grid method", and Voxler and Surfer software was used to model the VSWC data and draw contour maps. image processing technology (image greyscale and image similarity comparison) was employed to determine the image algorithm suitable for contour map pre-processing and the best time period for VSWC monitoring. These results indicated that the contrast-limited adaptive histogram equalisation (CLAHE) greyscale algorithm is a suitable pre-processing algorithm for processing contour maps using image processing technology, and the best 5TE sensor data monitoring time period is every 10 h. This conclusion provides a theoretical reference for VSWC monitoring and water management in production.

关键词： image processing technology Volumetric soil water content Contour map Monitor time period optimisation

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A novel defrosting control strategy with image processing technique and fractal theory

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INTERNATIONAL JOURNAL OF REFRIGERATION 2022年 138卷 259-269页

作者： Miao, Hongfei Yang, Xueqing Yin, Dazhen Zheng, Wandong Zhang, Huan Zhang, Sirui Liu, Zijian 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 China Elect Power Res Inst Beijing 100192 Peoples R China State Grid Beijing Elect Power Co Beijing 100031 Peoples R China

Temperature-time (T-T) defrosting control strategy is widely used in traditional air-source heat pump (ASHP) units. Its fatal problem that urgently need to be addressed is mal-defrosting, which happens frequently in heating season and causes extra energy loss. In order to accurately control the defrosting time and avoid the mal-defrosting problem, a novel Temperature-Humidity-image (T-H-I) defrosting control strategy is proposed to improve the defrosting process. With the aid of image processing technology, T-H-I defrosting control strategy applies fractal analysis can accurately and effectively perform defrosting operation. Through the experimental investigation on frost formation characteristics, T-H-I defrosting control strategy operates defrosting when the frost thickness reaches 0.726 mm and the fractal dimension reaches 2.839, while it terminates when the fractal dimension decreases to 2.324. Comparative experiments of ASHP unit with traditional temperature-time (T-T) method and the proposed T-H-I method are conducted. Compared with the traditional T-T method, 'delayed defrosting' and 'unnecessary defrosting' are avoided effectively with the T-H-I defrosting control strategy, and the energy consumption of defrosting can be reduced by 10.6% and 22.3%, respectively. In view of its high accuracy in defrosting and effectiveness in energy saving, the proposed T-H-I method has a promising prospect for future application.

关键词： Temperature-humidity-image defrosting control strategy Fractal dimension image processing technology Air source heat pump

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Dispersion Staining Method for Extracting image Characteristics of Suspended Fibers in Transformer Oil

Dispersion Staining Method for Extracting Image Characterist...

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2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

作者： Zheng, Zhibo Lu, Bowen Gan, Wenyan Huang, Zhengyong Wang, Qian Wang, Feipeng Li, Jian State Key Lab of Power Transmission Equipment & System Security and New Technology School of Electrical Engineering Chongqing University Chongqing China State Grid Chongqing Electric Power Company Research Institute State Grid Chongqing Electric Power CO. LTD Chongqing China

ISBN: (纸本)9798350322699

In order to extract the new aging characteristics of suspended fibers in insulating oil and solve the defects in the application of current aging characteristics of transformer paper insulation, the accelerated thermal aging experiments of transformer oil-paper insulation and the experiment of image characteristics acquisition based on dispersive staining method were carried out at 90℃, 110℃ and 130℃, respectively. The suspended fibers in insulating oil were obtained, and the dispersion staining images of suspended fibers under different aging degrees were observed. Through image processing technology, the extraction of aging characteristics of dispersion staining images were acquired with the optimal expansion radius and optimal corrosion radius. The results showed that: As aging progressed, the dispersion staining color of the suspended fibers in insulating oil gradually changed from the initial blue to red and orange, the proportion of blue of the three primary colors gradually decreased, while the proportion of red gradually increased, and the color inhomogeneity increased at first and then decreased. The extracted three primary color proportion and color inhomogeneity can be used as reliable predictors of the aging degree of oil-paper insulation, showing its application potential in the aging life evaluation and condition diagnosis of transformers. © 2023 IEEE.

关键词： dispersion staining image processing technology oil-paper insulation the suspended fibers in insulating oil

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Rasterized Data image processing (RDIP) Techniques for Photovoltaic (PV) Data Cleaning and Application in Power Prediction

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ENERGIES 2024年第12期17卷 3000页

作者： Zang, Ning Tao, Yong Yuan, Zuoteng Yuan, Chen Jing, Bailin Liu, Renfeng Guizhou Qianyuan Elect Power Co Ltd New Energy Branch Guiyang 550081 Peoples R China Guizhou New Meteorol Technol Co Ltd Guiyang 550081 Peoples R China Wuhan Polytech Univ Sch Math & Comp Sci Wuhan 430023 Peoples R China

Photovoltaic (PV) power generation has attracted widespread interest as a clean and sustainable energy source, with increasing global attention given to renewable energy. However, the operation and monitoring of PV power generation systems often result in large amounts of data containing missing values, outliers, and noise, posing challenges for data analysis and application. Therefore, PV data cleaning plays a crucial role in ensuring data quality, enhancing data availability and reliability. This study proposes a PV data cleaning method based on Rasterized Data image processing (RDIP) technology, which integrates rasterization and image processing techniques to select optimal contours and extract essential data. To validate the effectiveness of our method, we conducted comparative experiments using three data cleaning methods, including our RDIP algorithm, the Pearson correlation coefficient interpolation method, and cubic spline interpolation method. Subsequently, the cleaned datasets from these methods were utilized for power prediction using two linear regression models and two neural network models. The experimental results demonstrated that data cleaned using the RDIP algorithm improved the short-term forecast accuracy by approximately 1.0% and 3.7%, respectively, compared to the other two methods, indicating the feasibility and effectiveness of the RDIP approach. However, it is worth noting that the RDIP technique has limitations due to its reliance on integer parameters for grid division, potentially leading to coarse grid divisions. Future research efforts could focus on optimizing the selection of binarization thresholds to achieve better cleaning results and exploring other potential applications of RDIP in PV data analysis.

关键词： photovoltaic power generation data cleaning RDIP technique image processing technology prediction model

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Six-synchronous construction technology-based fiber stone seal of road pavements: Design, optimization, and performance evaluation

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CONSTRUCTION AND BUILDING MATERIALS 2024年 450卷

作者： Yuan, Lingqing Han, Zhanchuang Liu, Liping Li, Mingchen Mao, Siyu Tongji Univ Key Lab Rd & Traff Engn Minist Educ Shanghai 201804 Peoples R China China First Highway Engn Grp Co Ltd Beijing 100024 Peoples R China Dalian Univ Technol Sch Infrastructure Engn Dalian 116024 Peoples R China

This study aimed to improve the chip seal resistance to aggregate loosening, shedding, and interlayer delamination by using a six-synchronous fiber stone seal (6-SFSS) construction technology. The impact of various factors on 6-SFSS performance, including fiber type, aggregate gradation, emulsified asphalt upper-to-lower layer distribution ratio, and construction method, was evaluated using the Vialit test, pull-out test, oblique shear test, and third-scale model mobile loading simulator (MMLS3) test. Subsequently, a comparative analysis for its pavement performance was conducted with the traditional three- and four-synchronous FSSs (3-SFSS and 4-SFSS). Furthermore, two types of 6-SFSS test sections were constructed using a six-synchronous FSS vehicle, and their pavement performances were thoroughly evaluated. Finally, the aggregate shedding rate of the sections was assessed after one year of service using image processing technology. The results showed that higher ratios of emulsified asphalt in the upper layer of the FSS significantly reduced aggregate loss and shedding rates while enhancing interlayer pull-out and shear strengths. The proposed 6-SFSS method demonstrated excellent pavement performance when glass fibers were used, the emulsified asphalt ratio for the upper and lower layers was 7:3, the aggregate was a 3-5 mm single-grade aggregate, and a simultaneous construction method was used. Moreover, compared to conventional 3-SFSS and 4-SFSS methods, 6-SFSS2 significantly improved adhesion performance under impact loads at low-temperature and aggregate stability under cyclic loading by 60.8 % and 46.2 %, respectively, and also enhanced interlayer pull-out and shear strengths by 115.4 % and 49.1 %, respectively. The 6-SFSS2 test section demonstrated a 45 % increase in interlayer pull-out strength and a 12.7 % reduction in aggregate shedding compared to the 6-SFSS1 section, indicating superior long-term durability for the 6-SFSS2 method.

关键词： Chip seal Fiber stone seal Six-synchronous construction technology Emulsified asphalt image processing technology Long-term durability

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Fracture propagation characteristics of pre-cracked red clay in roadbed filling under three-point bending

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THEORETICAL AND APPLIED FRACTURE MECHANICS 2024年第PartA期133卷

作者： Ma, Hongyan Su, Wentao Cheng, Peiyuan Xu, Song Lv, Mengxi Fuzhou Univ Coll Civil Engn Fuzhou 350108 Peoples R China Fujian Commun Planning & Design Inst Co Ltd Fuzhou 350108 Peoples R China Fujian Huian Kai Cheng Vocat Sch Quanzhou 362100 Peoples R China

Red clay was a special roadbed filling soil that was easy to expand and shrink because of the characteristics of high liquid limit and high porosity, leading to the appearance of a large number of cracks. In order to understand the cracking mechanism and nonlinear fracture failure process of red clay, the fracture toughness and crack sensitivity of red clay with different saturation, compaction and gravel content were analyzed by three-point bending cracking experiment and image processing technology, and then the cohesive crack model was established to describe the fracture toughness. The results showed that the cracking process of red clay could be divided into three stages: crack incubation period, crack initiation and propagation period and visible cracks appearance stage. There was a conic function relationship between fracture toughness and saturation and a positive correlation between fracture toughness and compactness. The influence of gravel content on the final fracture path of red clay was the most significant, while the effects of saturation and compaction could be ignored. In addition, the fracture toughness converted from the cohesive crack model was basically as the same as the measured. This work provided a basis for theoretical analysis and numerical calculation for the fracture toughness of red clay under three-point bending.

关键词： Red clay Fracture toughness Nonlinear fracture failure Three-point bending image processing technology

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A visual defrosting control method for air source heat pump system based on machine vision

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ENERGY 2024年 302卷

作者： Zhao, Han Liu, Zihan Sang, Yufeng Chang, Junzhi Zheng, Xuejing Jurasz, Jakub Zheng, Wandong Tianjin Univ Sch Environm Sci & Engn Tianjin 300350 Peoples R China North China Municipal Engn Design & Res Inst Co Lt Tianjin 300074 Peoples R China Wroclaw Univ Sci & Technol Fac Environm Engn PL-50370 Wroclaw Poland Tianjin Univ Key Lab Efficient Utilizat Low & Medium Grade Ener Minist Educ China Tianjin 300350 Peoples R China

Frosting on the coil of the air source heat pump (ASHP) significantly affects its performance. An accurate defrosting control method is essential for the ASHP unit. Here, a novel visual defrosting control method based on machine vision is proposed. The frosting degree of the unit is accurately obtained by frosting image analysis with digital image processing to achieve on-demand defrosting. Fractal dimension, frosting degree coefficient, and single-circuit frosting evenness value are introduced to evaluate the frosting degree of coil images. The image acquisition point is determined with confusion matrix. Based on this, the logical framework of the proposed method is constructed, in which the defrosting starting and termination conditions are set as the moment when the frosting degree coefficient is equal to 0.9 and 0, respectively. A multi-variable model of fractal dimension is fitted, which improves the generalization of the proposed method. Finally, comparative experiments are conducted between the proposed method and the traditional temperature-time (T-T) method in typical cases. The results indicate that the COP and total heating capacity increase by 11.8 %, 10.6 % and 7.4 %, 6.6 %, respectively, and the defrosting frequency is reduced by 75 %, which demonstrates dominant advantages of the proposed method in accuracy, energy-saving, and indoor thermal comfort management.

关键词： Machine vision Defrosting control method Fractal dimension image processing technology Air source heat pump

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An image Dataset and an Effective Detection Algorithm for Human Body Acupoints

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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2024年第13期38卷

作者： Zhang, Yugui Feng, Anyi Zhang, Liping Li, Bin Zhang, Lu Cao, Fengcai Li, Weijun Wang, Linpeng Liu, Xu Zhou, Mingliang Chinese Acad Sci Inst Semicond Beijing 100083 Peoples R China Zhongke Shangyi Hlth Technol Beijing Co Ltd Beijing Peoples R China Xidian Univ Sch Artificial Intelligence Xian 710126 Peoples R China Capital Med Univ Beijing Hosp Tradit Chinese Med Dept Acupuncture & Moxibust Beijing 550001 Peoples R China Beijing Key Lab Acupuncture Neuromodulat Beijing 100069 Peoples R China China Acad Chinese Med Sci Xiyuan Hosp Beijing 100091 Peoples R China Xidian Univ Acad Adv Interdisciplinary Res Xian 710126 Peoples R China Chongqing Univ Sch Comp Sci Chongqing 550001 Peoples R China

With the development of artificial intelligence, computer vision technology has been widely used in the fields of security monitoring, automatic driving and wisdom city. However, there has not been a research on the detection of the meridians in human bodies by using the computer vision technology. In order to promote the use of the computer vision technology in human meridian detection, this paper first releases a dataset based on human meridians, which makes up for the gap in the field of human meridian detection using image processing technology. Moreover, the human meridian detection dataset is manually annotated and proofread by experienced Traditional Chinese Medicine (TCM) practitioners according to the position and direction of the human meridians, so that the annotated human meridians are as accurate as possible. The released human meridian dataset label's 12 meridians, including spleen meridian, pericardium meridian, stomach meridian, lung meridian, heart meridian, kidney meridian, gallbladder meridian, liver meridian, triple energizer meridian, bladder meridian, large intestine meridian and small intestine meridian. A total of 296 acupoints were labeled. At last, this paper proposes a method for data augmentation, especially for datasets with a small amount of data, wherein the data amount can be augmented by enhancing the underlying edge visual features of the data. Experimental results show that human meridians can be detected by using image processing technology, and the proposed method for data augmentation can effectively improve the detection accuracy of human meridians. The dataset can be downloaded from https://***/***?id=127.

关键词： Human meridian detection human meridian dataset data augmentation image processing technology

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