bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of Concrete Surface Crack Recognition Model Based on Digital Image Processing Technology
Authors: Kang Yuzhong , Yu Aimin , Zeng Wenquan 
Published: December 2021

Abstract
In this paper, the bridge crack detection method based on digital images is studied. In-depth analysis and evaluation are performed on the image processing algorithms such as image graying, resolution of checkerboard corner pixel rate, filtering denoising, and edge detection, etc. The calculation and software system for bridge crack width based on videos (or images) is implemented, and 15 bridge crack images are used to verify its crack detection accuracy. The results suggest that the proposed crack identification method in this paper can be used for the crack detection of reinforced concrete bridges and class B prestressed concrete bridges properly. When the crack width is greater than 0.3 mm, the calculated crack width value based on images is very close to the measured value.
Numerical Simulation of Heat Transfer Tube Characteristics of Refrigeration and Air Conditioning Based on Mixed Fractional Model
Authors: Ding Weihua , Chen Wei 
Published: December 2021

Abstract
The main parameters affecting the heat transfer performance of heat transfer tube heat exchanges include fin shape, fin spacing, fin thickness, tube row arrangement, tube diameter, dry and wet bulb temperature and flow rate. The air side heat transfer performance of heat transfer tube heat exchange and the influence of velocity field and temperature field distribution on heat transfer effect have been the focus of domestic and foreign scholars. In this paper, based on the mixed fraction model, CFD software is used to simulate the absorption process of gravity falling film outside the heat transfer tubes of refrigeration and air conditioning, and to study the flow and heat transfer characteristics of the process. The results show that, for the heat transfer tubes with the selected structure, the heat transfer capacity increases with the increase of water flow velocity, and the heat transfer enhancement effect of turbulence is enhanced. The heat transfer tubes have better comprehensive heat transfer performance than smooth tubes with the same diameter.
Safety Design in Electrical Design of High-rise Building in Low Voltage Distribution System
Authors: Ma Yuanling 
Published: December 2021

Abstract
With the continuous improvement of intelligent and automatic level of electrical system in high-rise buildings, the structure of electrical equipment in high-rise buildings is becoming more and more complex, and the total load is also increasing. Higher requirements are put forward for the safety design of its power distribution system. The safety design of low-voltage power distribution system is more and more important for the reliability and safety of the electrical system in high-rise buildings. Based on this, this paper first introduces the high-rise building power transformation and distribution system, including the reliability analysis of high-rise building power distribution system, power supply solutions, etc. Secondly, it analyses the design of low-voltage distribution system in the electrical design of high-rise buildings, and finally studies the safety optimization of low-voltage distribution system in the electrical design of high-rise buildings.
Fuzzy Neural Network Algorithm in Improving Electrical Engineering Control System
Authors: Tian Xiaotao 
Published: December 2021

Abstract
In the current era of rapid development of big data technology and artificial intelligence technology, China’s comprehensive national strength has also been significantly enhanced, the rapid progress of science and technology makes the electrical engineering control system whether in terms of efficiency and quality of the application, its electrical engineering control system development is gradually improved with the support of high-tech. Based on artificial intelligence technology, neural network algorithms and improved neural network algorithms are proposed to improve the original electrical engineering control system. In this paper, the S electrical engineering control system is the main research object, and its addition of fuzzy neural network algorithm to improve the study. Firstly, on the basis of a simple description of S electrical control system, the research status of the main partition control blocks of S electrical control system is analyzed. Secondly, an improved intelligent control system, including intelligent service interruption system and central electrical control system, is proposed to design an improved electrical engineering control system based on neural network algorithm through the operation principle of sensors and the study of network communication technology. Based on the above research basis, the effectiveness and practicality of the proposed intelligent electrical engineering control system are verified by analyzing the effects of the proposed intelligent electrical engineering control system in real life. The experimental results show that although there are still many problems in the intelligent control system of three-phase electrical engineering at this stage, innovation and technological progress will continuously improve the comprehensiveness and intelligence level of the system.
The Application of Order Scheduling Algorithm for Food Delivery Logistics Based on Historical Data
Authors: Fu Fang , Zhou Wanyang 
Published: December 2021

Abstract
With the improvement of China’s social and economic development, the requirements for delivery efficiency of foreign logistics orders are becoming more and more stringent. Big data technology is the current direction of vigorous development. With the development of the Chinese era, in order to better promote the development of China’s urbanization. With the continuous innovation of big data technology, various industries are undergoing industrial upgrading and format conversion. This article mainly discusses the order scheduling algorithm of takeaway logistics based on historical data. Through in-depth research and analysis of the algorithm, the researched scheduling algorithm is reasonably applied to the delivery industry of takeaway logistics, and the scheduling algorithm of big data technology is used for accurate calculation. The supply-demand relationship between food delivery and customers in historical data and the optimal path of actual logistics delivery provide algorithmic support for the selection of time and path of food delivery. Making good use of big data technology can not only accurately predict customers’ habits of ordering food, but also play a role in optimizing delivery. With this technology, the automation level of food delivery can be effectively improved, and foreign media can be delivered to customers in a more timely manner. In its hands, it highlights the application value of big data technology and promotes the development of China’s modern logistics industry, making it possible to develop in the direction of intelligence and automation. The experimental results show that the food delivery industry has great convenience and higher efficiency for ordering and transportation of food delivery under the condition of combining big data technology.
The Construction of Roof Greening Intelligent Management System Based on Wireless Sensor Network Technology
Authors: Pi Ling 
Published: December 2021

Abstract
Roof greening can make up for the problem of urban green deficiency to some extent, add green space for people in urban life, and also alleviate urban ecological problems and heat island effect. With the development of information technology, the development level of modern automation is higher and higher. Information has penetrated into various industries. So it is very important to develop intelligent management system(IMS) of roof greening to use information technology reasonably. At present, roof greening is mainly artificial operation management, and there are many random factors and can not guarantee that roof greening is always the best state. Irrigation system is also very simple. Therefore, this paper proposes the research and construction of IMS of Roof Greening Based on wireless sensor network(WSN) technology. This paper describes the frame design of IMS of roof greening and the overall design of IMS of roof greening. The design factors of WSN are also studied. The plant survival rate of intelligent management and natural growth is studied by field detection. The effect of roof greening on reducing heat island effect is proved by data chart. The experimental results show that the survival rate of plants under the care of intelligent roof greening system is 91.27, while the natural growth survival rate is only 67.32. At the same time, the green roof plays a great role in the heat island effect. When the sun is the strongest at 12:00 noon, the temperature of the green roof is 25 degrees, while the common roof is 32 degrees.
Application of Data Mining Algorithms in Data Analysis of Information Education Evaluation
Authors: Tan Guihua , Liu Yiran 
Published: December 2021

Abstract
In the new century, China has attached great importance to informatization work. Based on the development of education and teaching, the necessary infrastructure for informatization must be gradually improved. At the same time, we should make reasonable and effective use of information technology in the analysis of educational evaluation data, so that informatization teaching becomes an indispensable part of education. The purpose of this article is to study the application of data mining algorithms in data analysis of information education evaluation. This article will give full play to the interactive, dynamic and open advantages of the teaching resources of the network platform, combined with the ability of teachers to use information technology, rationally optimize the education evaluation data analysis system, use existing information technology to build an evaluation system, and evaluate the participating teachers. Ensure that the evaluation results are objective and effective. According to the overall framework and demand analysis of the system, the teacher information technology application ability assessment system is divided into different functional modules, each module is analyzed in detail according to user needs, and the corresponding database is designed. The evaluation system has an intuitive user interface, easy operation, and stable operation. It is suitable for first-line teachers and school administrators in primary and secondary schools to make a fair assessment of the teaching of teachers. Through the evaluation and analysis report, teachers can optimize and comprehensively understand their own teaching situation, see the problems in their teaching, and change the teaching method in time; appropriately summarize and analyze to improve the teaching level. Understand the teaching work of teachers, and realize the in-depth integration of informatization and teaching. Experimental investigations have shown that students have a great lack of experimental ability. The other four abilities are not far apart, all of which are above 70%. They are in the upper middle and upper reaches. Among them, the analysis and application tools are about 5% higher than the grade level. In general, the experimental ability must be strengthened to enhance. Let students achieve all-round development. Through the evaluation and analysis report, teachers can find their own shortcomings in teaching more clearly based on their optimization, and change the teaching methods in time; appropriately summarize and analyze to improve the teaching level.
Research on improvement of moisture proof technology for JIS control cabinet of 220kV substation based on big data
Authors: Fan GuangLiang , Qi WeiFu , Yu Yong , Liu ShuSen , Yuan Ting 
Published: December 2021

Abstract
The outdoor control cabinet of intelligent substation includes the central control cabinet and the intelligent control cabinet. The internal integrated circuits and electronic components are easily affected by the environmental humidity. Through the operation and maintenance data statistics, it is found that the existing heating and dehumidification system in the control cabinet can not fully meet the humidity requirements in the cabinet. In view of this problem, this paper analyzes the factors leading to the increase of humidity in the cabinet, puts forward the research on the improvement of moisture-proof technology of JIS control cabinet in 220kV substation based on big data. In an environment where the air temperature changes rapidly, the test data verify that the moisture-proof technology of JIS control cabinet in 220kV substation based on big data can effectively reduce the humidity in the intelligent control cabinet, and effectively ensure the safe operation of electronic equipment in the intelligent control cabinet.
Evaluation of Innovation Ability of Industrial Clusters Based on BP Neural Network
Authors: Fang Chunjie 
Published: December 2021

Abstract
In order to improve the innovation ability of enterprises and enhance international competitiveness, it is necessary to correctly analyze and evaluate the innovation ability of industrial clusters. Therefore, BP neural network is used to explain the innovation ability of industrial clusters, and the evaluation index system is established. By investigating industrial clusters and using it to provide references for the evaluation of industrial clusters’ innovation capabilities.
Application of Augmented Reality Technology and Artificial Intelligence Satellite Communication Equipment in Power Grid Emergency Training
Authors: Zheng Songyuan , Zhang Min , Zhou Haichang 
Published: December 2021

Abstract
In recent years, more and more fast-developing high and new technologies have gradually penetrated into the power grid emergency of satellite communication equipment training, and Augmented Reality (AR) technology and Artificial Intelligence (AI) are one of them. The power communication network is an important means to ensure the safety, stability, and economic operation of the power grid, and it is also an important infrastructure for the entire power grid. Power grid emergency training is particularly important for improving the ability to respond to emergencies. The purpose of this article is to study the application of AR technology and AI satellite communication equipment in power grid emergency training. This article first analyzes the demand for training content of power grid emergency training for satellite communication equipment training. Through questionnaire surveys and interviews with relevant experts and emergency rescue teams, it summarizes the training content suitable for the application of AR technology and AI technology for power grid emergency. Then, by introducing the key technologies of the power grid emergency training of satellite communication equipment training, the application of AR technology and AI in the power grid emergency training of satellite communication equipment training is completed. The training effect data shows that 68% think that the training can improve the motivation of training by using this technology, 74% think that the overall effect of the training is good, and 66.3% think that the skill improvement effect is good, which verifies that the technology is used in power grid emergency training. It is worth promoting.
Application of Augmented Reality (AR) Technology in Low-Voltage Line Interruption Training and Power Grid Emergency Training
Authors: Bi Mingli , Zhang Min , Zhou Haichang 
Published: December 2021

AbstractAugmented reality technology uses computer performance to create a virtual scene and accurately integrate the virtual scene with the real world, and finally uses a video projector to present the virtual and real scene to the user, thereby significantly improving the user’s visual experience and Feeling knowledge. Therefore, augmented reality technology can be well applied to training companies. The use of virtual reality and augmented reality technology in the aerospace, construction and shipbuilding industries has achieved remarkable results, and the era of augmented reality applications in the power grid has also arrived. With the development of mobile terminals such as mobile phones, it has become an excellent platform for augmented reality applications. This article focuses on the application of augmented reality (AR) technology in low-voltage line interruption training and network emergency training. First, the basic technology of augmented reality (AR) and the application of augmented reality (AR) in power grid emergency training are introduced using bibliographic research methods. Then design a network emergency training system for low-voltage disconnection training, and finally test the algorithm used in this article. The detection result shows that the detection of feature points using AGAST takes less than 3ms, while the Shi-Tomasi operator is about 20ms. It can be seen that the use of AGAST operator to detect feature points has a great improvement in speed.
Application of Augmented Reality (AR) Technology in Power Grid Emergency Training
Authors: Pan Qishen , Zhang Min , Zhou Haichang 
Published: December 2021

Abstract
Strong reality has been applied to training operations, and the use of virtual and augmented reality in aerospace, manufacturing and shipbuilding industries has yielded significant results. This paper mainly studies the application of Augmented Reality (AR) technology in power grid emergency training. This paper designs and implements an intelligent operation and maintenance system based on mobile augmented reality under the Android operating system. Augmented reality technology is applied to substation equipment operation and maintenance. Through the design and development of modules such as data management, equipment identification, holographic display of equipment information, integrated management and remote assistance, the application of Augmented Reality technology in substation equipment operation and maintenance is realized. Based on augmented reality and identification technology, the auxiliary information is transmitted to the intelligent terminal display of field operators in real time to assist the power grid emergency training and improve efficiency.
RETRACTED: Design of Double-effect Propulsion System for News Broadcast Based on Artificial Intelligence and Virtual Host Technology
Authors: You Yuanyuan 
Published: December 2021

Abstract
A virtual host refers to a host who uses an avatar to submit contributions on a video website. The virtual host is a powerful combination of artificial intelligence technology and live broadcast. In recent years, virtual video hosts have sprung up on major video websites, and their popularity is growing rapidly. Virtual host technology has been applied to many areas of society. Based on this background, this article designs a news broadcast double-effect propulsion system based on artificial intelligence and virtual host technology. This article applies the virtual host technology to the field of news broadcasting, and realizes the double-effect advancement of virtual host technology and news broadcasting. The virtual host designed in this article mainly uses sign language to broadcast news, so this article first conducts a quick and brief knowledge of sign language, and then conducts a detailed analysis of the current research status of virtual host technology and artificial intelligence technology, and uses artificial intelligence. The technology realizes the motion control of the virtual host; then the intelligent algorithm is used to realize the superimposition and synthesis of videos, and a news broadcast double-effect propulsion system of artificial intelligence and virtual host technology is designed. Finally, this article carried out an experimental test on the system’s simultaneous broadcast function and channel switching function. The test results surface excluded subjective human factors. After the improvement, the system can achieve simultaneous broadcast and successful channel switching.
Study on Performance Optimization and Physical Properties Testing of a New Type of High Thermal Conductive Damping Coating
Authors: Chen Wei , Hu Sheng , Zhao RuiDun , Xie Yine , Cao Hao 
Published: December 2021

Abstract
Surface coating of damping paint is a common method to suppress structural vibration and reduce noise, but damping paint has poor thermal conductivity which limits it’ s application to transformers, reactors and other equipment that have high requirements for heat dissipation. In this paper, a new type of high thermal conductivity damping coating is prepared by emulsion polymerization, among which, a polyurethane emulsion with internal cross-linking structure and an acrylic emulsion with polymerization function are used as main agents, mica powder is used as the main damping function filler. By adjusting the proportion of non-metallic thermal conductive filler Al2O3 and thermal conductive fiber to explore the influence of different thermal conductive fillers on the thermal conductivity and damping performance of the damping coating. The paint is applied to aluminum and iron plates, and the sound insulation capacity is tested to study the influence of paint thickness, fiber addition, fiber type, viscoelasticity, and temperature aging on the sound insulation performance of damping sound insulation panels. The test results show that by adding thermally conductive filler Al2O3 and thermally conductive fibers, a thermally conductive network chain is formed inside the damping coating, which greatly improves the thermal conductivity of the coating while ensuring the damping performance and the effect of vibration and noise reduction.
First principles study of IIIA atoms adsorbed on ZnO (0001) surface and the applications in optoelectronic devices
Authors: Zhang Haifeng , Cheng Caiping , Wang Bin 
Published: December 2021

Abstract
First principles method is used to study the adsorption behavior, formation energy and electronic structure of IIIA (B, Al, Ga, In) atoms adsorbed on Top, T4 and H3 sites of ZnO (0001) surface. The date shows that the formation energy of B, Al, Ga and In atoms adsorbed on Top site is highest, then followed by T4 site, and H3 is a more stable adsorption site. With the periodic increase of B, Al, Ga and In atoms, the formation energy of corresponding models decreases gradually, and the binding ability with O atoms also decreases gradually. The electronic structure of ZnO (0001) surface is sensitive to the adsorption sites. When these atoms are adsorbed on Top sites, the electronic structures of B-Top, Al-Top, Ga-Top and In-Top models have a little change compared with ZnO (0001) surface. However, when these atoms are adsorbed on T4 and H3 sites, the impurity states appear on the VBM, which narrowing the band gap of the corresponding models.
Design of intelligent variable speed warehouse carrier system based on ARM SCM
Authors: Yang Haojun 
Published: December 2021

Abstract
Aiming at the problem of motion instability caused by the climbing of intelligent vehicles in the process of warehouse transportation, a design of intelligent variable speed warehouse transport vehicle system was proposed. STM32F103C8T6 single-chip microcomputer is used as the core controller of the intelligent variable speed car. The hardware circuit of the system is composed of power module, servo motor module, ultrasonic sensor module, infrared sensor module, MPU6050 gyroscope, motor drive and other modules. At the same time, the software test of vehicle downhill intelligent transportation, tracking detection speed and differential steering conditions is completed. Finally, the performance of the car is verified, and the results show that the smart car has achieved high stability of avoidance tracking, speed and other key functions. It is a downhill process, which has a lot of practical value.