bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of the type, orientation, and temperature of solar panels on observed efficiency in Latvian climate conditions
Authors: Heincis D , Telicko J , Jakovics A
Published: December 2021

As solar panel technologies become more and more popular and are increasingly used in nearly zero-energy building solutions, one must make sure that the panels are able to achieve performance indicators similar to those determined by manufacturers under standard testing in real-world conditions. To determine the efficiency of poly- and monocrystalline panels, depending on their spatial orientation and other parameters, a set of test panels was installed in Riga, Latvia in 2018 for long-term monitoring of their power output. This article summarizes the results for the first two years. In the autumn of the second year of monitoring, temperature sensors were installed on the solar panels to study the effects of temperature on panel’s efficiency. The data show that the panel’s spatial positioning is a crucial element affecting the amount of energy produced, although the type of panels and climate conditions are also important.
Comparative field tests of an electrochromic shading device - thermal and visual comfort
Authors: Nocente A , Oksavik O , Gullbrekken L , Grynning S
Published: December 2021

Electrochromic devices (EC), or Smart Windows, are amongst the most promising technologies to increase users’ wellbeing in buildings. A comparative test of EC windows performance was realised in the ZEB Test Cell Laboratory in Trondheim, Norway. Two identical rooms were used for the comparative tests. One of the rooms was equipped with EC devices. The other room was equipped with a traditional insulated glazing unit (IGU) with external solar shading device. Three automatic control strategies were tested in this experiment. The EC device demonstrated a good impact on the thermal and visual comfort when compared to a traditional IGU without moveable shading and a traditional IGU with an external screen.
The e-SAFE energy and seismic renovation solutions for the European building stock: main features and requirements
Authors: Evola G , Margani G , Costanzo V , Tardo C , Marino E M , Semprini G , Tomasi R , Halmdienst C , Voortman B
Published: December 2021

In the framework of the ongoing four-year EU-funded innovation project called e-SAFE (“Energy and seismic affordable renovation solutions”), several solutions for the energy and seismic deep renovation of reinforced concrete (RC) framed buildings in the European countries are going to be developed and demonstrated. These solutions address both the energy performance of the building envelope and the heating and cooling of the indoor spaces, and aim to be prefabricated, customizable, low-disruptive and sustainable in order to boost the decarbonisation of the largely inefficient European building stock. This paper presents the main features of the e-SAFE solutions and the results of a preliminary analysis to verify their effectiveness and compliance with European legislation and standards. The outcomes will be useful for the design and demonstration stage, by identifying issues that need to be tackled.
Mitigating and adapting to climate change with a taxonomy of smart urban surfaces
Authors: Li Zekun , Loftness Vivian
Published: December 2021

Rapid urbanization is replacing natural land with dark, impervious surfaces. This has led to dire urban consequences including rising temperatures and stormwater deluge, resulting in significantly higher energy costs, greater stormwater damage, and associated health and comfort impacts. These issues can be mitigated using smart surfaces, those with high reflectivity and permeability, which can achieve sustainable and regenerative cities. The current literature on the benefits of urban surfaces is very segmented, focusing on either one specific surface type or one property of surfaces. A smart surface taxonomy with correlated heat, and water metrics has been developed to fill this gap. A range of city surfaces in three broad categories - roofs, streets and sidewalks, and parking lots - have been identified with various levels of reflectivity, permeability. Through literature review, the taxonomy reveals surface temperatures that range from 29.7°C for a green roof to 74.3°C for a black roof. Also, the taxonomy reveals Rainfall retention potential ranging from 1.27 mm for impervious pavement to 86.4 mm for bioswales. The development of a smart surface taxonomy with quantified benefits for mitigating or adapting to climate change will be critical for decision-makers to make informed decisions on city surface choices.
BIPV/T for Arctic Residential Applications
Authors: Baril D , Athienitis A , Ge H
Published: December 2021

This study aims to investigate the performance of an open loop air-based building integrated photovoltaic/thermal collector (BIPV/T) to preheat Energy Recovery Ventilator (ERV) supply air and to generate electrical energy. ERVs have proven successful in cold climates, but in the extreme cold of the arctic frequent frosting and defrosting cycles reduce their effectiveness and increase energy consumption. Thus, by integrating with BIPV/T, this problem can be reduced while also generating solar electricity. A finite difference model of the BIPV/T system integrated in a typical potential application was simulated in MATLAB using local weather data and fresh air requirements to obtain system outputs. BIPV/T parameters such as tilt angle, cavity width and height were varied, keeping in mind nominal lumber sizes and ease of construction for improved implementation for Arctic residential applications.
Dependence of measured specific air leakage rate (qE50) on envelope pressure differences and measurement position: a case study in an apartment building in winter conditions
Authors: Klõšeiko P , Arumägi E , Hallik J , Kalamees T
Published: December 2021

Airtightness of the building envelope has become an important component in achieving ever stricter energy performance levels. However, airtightness measurements using blower door method are dependent on choices made by the specialist conducting the tests. One being the assessment of baseline pressure difference inside the building and position of the measurement equipment. Ideally, the test will be conducted without wind and stack effect which could disturb the envelope pressure measurements. Unfortunately, such conditions seldom exist, especially in colder climates. This increases the appeal of conducting apartment-wise measurements over whole-building measurements as it is far easier to comply with the ISO 9972. However, the apartment-wise method has a relatively random nature due to small share of actual building envelope. This paper investigates the effect of using different measurement positions and pressure levels on the airtightness measurement results. A 5-storey 15m tall residential building was used as a case study and measured as a whole and in select apartments. The results show that the variation caused by different choices of pressure levels, measurement positions etc caused relatively low variations and whole-building measurement should be preferred even if not all baseline and pressure level requirements are not met.
Global warming potential of the production phase based on the example of a hotel regarding two different construction variants
Authors: Engel Sarah M. , Walsdorf-Maul Manuela , Schneider Michael
Published: December 2021

The construction industry has a major influence on man-made carbon dioxide emissions. Being sustainable also means reducing or neutralizing our carbon dioxide pollution in the future. This research and the corresponding work are therefore guided by the following question: Is it possible and useful to conduct life cycle assessments and at the same time analyze the environmental impact of the construction sector? In the context of this work, a life cycle assessment of a building is performed using the example of a hotel building. All construction elements of the thermal envelope are examined from an environmental point of view by considering the global warming potential of each part of the construction. The aim of the study is to draw conclusions about the parameters that are decisive for the construction of a hotel building from an ecological standpoint in the production phase. Based on the results of the study, we want to drive the development of a “future” energy performance certificate forward that graphically illustrates the evaluation of buildings under both aspects - energy efficiency (final energy) and sustainability (GWP - global warming potential).
How do occupants rate bedroom air quality?
Authors: Liao Chenxi , Fan Xiaojun , Bivolarova Mariya Petrova , Sekhar Chandra , Akimoto Mizuho , Laverge Jelle , Wargocki Pawel
Published: December 2021

Poor air quality has been shown to reduce sleep quality. There is a limited number of studies reporting how occupants rate the air quality in their bedrooms. The present study sheds the light on this issue. It was conducted in actual bedrooms and asked occupants to rate air quality once awake in the morning using an online sleep diary. The study was done in Denmark during the heating season. 178 responses from 82 subjects were received. Nearly all respondents rated air quality as acceptable. 28% indicated that the air was stuffy. Measuring CO2 and description of bedrooms would help to explain these results. They are analysed at the moment and will be reported in the subsequent papers.
Deterioration of PVC floor covering due alkaline moisture
Authors: Leivo Virpi , Sarlin Essi , Suonketo Jommi , Pikkuvirta Jussa , Pentti Matti
Published: December 2021

Concrete as alkaline (pH ∼12,5) and moist material can cause deterioration of polyvinyl chloride (PVC) floor coverings and adhesives through alkaline hydrolysis. Attempts to prevent alkaline hydrolysis have mainly been made by installing PVC floor coverings above ‘dry-enough’ concrete or by using self-levelling low-alkali (pH ∼11…11,5) screeds between concrete and floor coverings. In this study, screed, adhesive and PVC floor covering combinations have been varied by using different floor covering conditions in laboratory test series. VOC emissions have been analysed from flooring material samples (Bulk-VOC). The test samples have been measured for two to three years after installing floor covering. According to the results, a 5 mm layer of low-alkali screed (pH less than 11,5) will effectively protect PVC flooring against alkaline hydrolysis. It could also be concluded that the pH level immediately under floor covering has a better correlation with VOC emission than the RH of concrete in the moment of installing the floor covering.
HIEQLab, a facility to support multi-domain human-centered research on building performance and environmental quality
Authors: Pellegrino A , Serra V , Favoino F , Astolfi A , Giovannini L , Clos A
Published: December 2021

Researches on building performances and environmental quality can be performed through different approaches, including dynamic numerical simulations, in-field studies, full scale test facilities and living labs. Researches performed through full scale test facilities allow carrying out studies under controlled realistic conditions, directly involving the final users. Such approach can significantly improve the scientific research on energy efficient and healthy buildings by fostering a synergistic and user-centered innovation process. Within this context, at Politecnico di Torino, the TEBE group (Technology, Energy, Building and Environment) has designed and is realizing a full-scale facility, aimed at implementing researches on building Indoor Environmental Quality (IEQ) and energy performance. The facility will enable multi-domain studies, including thermal, air quality, acoustic and lighting aspects, involving the final user in the research process. The paper describes the features of the facility and the challenges it was conceived to face.
I-CUB: ‘Indoor Climate-Users-Buildings’: Relationship between measured and perceived indoor air quality in dwellings
Authors: Langer Sarka , Psomas Theofanis , Teli Despoina
Published: December 2021

Assessment of indoor environmental quality has recently moved to a combined methodology of both measurements and questionnaire surveys. In this study, we have used data from the national survey of the Swedish housing stock, BETSI, conducted in 2007/2008, during the heating season. The study included, among others, measurement of selected indoor air pollutants and an extensive questionnaire survey on the occupants’ perception of their dwellings. Measured concentrations of the air pollutants NO2, TVOCs and formaldehyde were aggregated into one Indoor Air Pollution Index (IAPI) on a continuous scale between 0 (excellent Indoor Air Quality; IAQ) and 10 (poor IAQ). The perceived IAQ was assessed by the occupants on a 5-point category scale from very good to very poor. On the entire scale of IAPIs, 92% of the respondents in single-family houses perceived the IAQ as very good or good and 8% as acceptable, while in the apartments, the ratings ‘very good’ and ‘good’ accounted for 58%, acceptable for 33% and 9 % for ‘poor’ and ‘very poor’, respectively. In both building types, the tendency of IAPIs was shifted to lower values (good IAQ). Analysis of IAPI-medians showed no statistically significant differences between and among the air quality perception ratings.
2021International Conference on Information Technology and Big Data Engineering
Authors: Wei Wei , Han Jia
Published: December 2021

2021International Conference on Information Technology and Big Data Engineering were successfully held online from 25th to 27th of April 2021, Wuhan, China. The conference was jointly organized and sponsored by Shaanxi Juxing Exhibition Co., Ltd and Juneng Electronic Technology Co., Ltd. Called by Dr. Wei Wei from Xi'an University of Technology and researcher Jia Han from College of Computer Science, Xi'an Shiyou University, the conference invited scholars and experts in the fields of information technology, big data engineering, computer engineering from various universities to participate in the review and guidance of this conference. The conference focuses on the latest research fields such as "information technology", "big data engineering" and "computer engineering", and aims to provide an international cooperation and exchange platform for experts, scholars and business managers in the fields of information technology, big data engineering, computer engineering application to share their research achievements, discuss the key challenges and research directions of the development of this field, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of Proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the Special Committee.

List of Organizing Committee, Scientific Committee, Editorial Committee, Invited Speakers, Organizing Institutions, Sponsors are available in this pdf.
Design and Analysis of Indoor Mobile Robot Positioning Technology
Authors: Jiang Dongqing , Dai Chunxiang
Published: December 2021

In the field of mobile robot technology research, positioning technology is one of the core technologies, so it has been widely concerned in the field of industry. Due to the limitation of space, indoor mobile robots often have a high demand for their own position confirmation in the process of operation. Therefore, exploration based on positioning technology is very important for the further development of indoor mobile robots. Based on the research on the positioning technology of wheeled indoor mobile robot, this paper will make an effective evaluation on the future development direction of indoor mobile robot technology.
Analysis of The Influence of Web of Things on Computer Communication Network
Authors: Nie Luona
Published: December 2021

The web of things is an important symbol of the informational age. It has brought a positive impact on the technology market of our society and made the connection between logistics and the Internet increasingly close. Its application has broad development space and value. The web of things has developed into a carrier that can make the current science and technology progress faster and further. This paper analyzes the current situation of the web of things and preliminarily studies the significant influence of the three levels of the web of things on the computer network. This paper simply analyzes the future development of the web of things. We hope that people can improve their market application ability and fully tap their potential economic effect and technical value.
A Multilayer Iteration-Based Improved Recursive Data Flow Matching Algorithm
Authors: Cai Yanjing
Published: December 2021

Differentiated service for packets entering the network is available through packet matching. Network security and differentiated services mean an inevitable choice for routers. Recursive data flow matching algorithm (RFC) is a high performance packet matching algorithm. However, with the increase of rule dimension and scale in the rule base, system memory consumption is unavoidable. This paper lowers memory consumption via improvement on RFC by dividing the rule base into several subsets and storing each rule in a separate subset. In addition, a variety of methods are used to streamline the RFC data structure for further improvement in algorithm speed and memory performance. The experimental results show that the improved algorithm of RFC greatly reduces the overall memory consumption of RFC, while greatly improving package matching performance.
Research on the Overview of Image Processing Architecture of Computer Based Deep Neural Network Accelerator
Authors: Shu Deqin , Fan Hao , Zhang Liang
Published: December 2021

DNN algorithm still has many shortcomings in the process of operation, which need to be further solved. Specifically, there is more data reuse, and the repeated access of global cache takes up more resources and computation, thus reducing the efficiency of operation. Based on this, this paper first analyses the research status and value of the DNN accelerator, then studies the image processing architecture of the DNN accelerator, and finally gives the computer DNN model and acceleration algorithm analysis.
Development and Realization of Computer Three-dimensional Aided Design System for Industrial Design
Authors: Ji Yong , Ji Jing , Kuang Yifei , Chen Sen , Wang Dan
Published: December 2021

With the continuous development of computer technology and industrial design technology, the traditional manual drawing design method has seriously affected the effect of industrial design. The research on computer-aided industrial design system has gradually attracted the attention of experts and scholars. This paper expounds the application characteristics of computer-aided industrial design technology from CAD industrial design technology in detail, and finally designs the computer-aided industrial design system according to the more mature hierarchy method and structure method, and conducts detailed analysis and comparison of specific components.
Application of Computer Image Recognition Technology in Power Informationization
Authors: Li Jiaxuan , Wen Xin
Published: December 2021

With the rapid development of informationization, image recognition has been applied more and more deeply in various industries, and has become an important technical means in production and life, especially for the development of artificial intelligence. With the continuous development and progress of China’s economy and society, the demand for electricity is increasing. How to provide sufficient electric energy safely and efficiently for social development has become the key goal of power system reform. Power equipment detection is one of the earliest links to realize information in China’s power system. Because of its highly intelligent advantages, this technology can play an important role in the detection of power equipment, Which further improve the automation and intelligence level of power equipment detection. Starting from the practical application of this technology in power information, this paper analyzes some advantages that this technology can bring in power system, and provides a reference model for the popularization of this technology.
Research on Image Enhancement Algorithm Based on Artificial Intelligence
Authors: Liu Jie , Peng Yuanyuan
Published: December 2021

With the continuous development of social science and technology, people have higher and higher requirements for image quality. This paper integrates artificial intelligence technology and proposes a low-illuminance panoramic image enhancement algorithm based on simulated multi-exposure fusion. First, the image information content is used as a metric to estimate the optimal exposure rate, and the brightness mapping function is used to enhance the V component, and the low-illuminance. The image and the overexposed image are input, the medium exposure image is synthesized by the exposure interpolation method, and the low illumination image, the medium exposure image and the overexposure image are merged using a multi-scale fusion strategy to obtain the fused image, which is corrected by a multi-scale detail enhancement algorithm. After the fusion, the details are enhanced to obtain the final enhanced image. Practice has proved that the algorithm can effectively improve the image quality.
Research on Underhole Field CMS Based on AI Communication
Authors: Liu Xin
Published: December 2021

With the rapid development of computer technology, AI technology is applied to various industries, especially the communication industry. Through AI, communication can automatically identify and screen useful information, which will provide more accurate information decision-making for the system. Oil exploitation is a very dangerous work, which requires real-time monitoring of the working state of the system such as wind, water, gas and so on. Through the comprehensive detection of all kinds of information, mining enterprises can ensure the safety of the oil field, which can also ensure the safety of production. Although China’s oil exploration enterprises have many monitoring systems, which can detect a variety of information data. However, there are still many problems in these monitoring systems, such as isolation of each other, inflexibility of sensors, narrow range of data acquisition and so on. At the same time, due to the lack of comprehensive communication platform, the linkage of various production links in the oil well is poor. Therefore, we urgently need a comprehensive monitoring system, which can control the underground field information. Therefore, based on AI communication technology, this paper develops a comprehensive monitoring system.
Design and Analysis of Ship Exhaust Boiler Flue Cleaning System Based on Computer
Authors: Peng Chen
Published: December 2021

In recent years, the country for ship emissions of exhaust gas control is relatively loose, but also relatively lack of specific and effective supervision and scientific exhaust emissions and treatment technology, so China’s air pollution is increasingly serious. With the implementation of regulations on the emission of air pollutants from land-based sources such as motor vehicles and power stations, researchers have found that exhaust pollution from ships accounts for an increasing proportion of the overall air pollution, especially in port cities and coastal areas, causing great damage. In order to effectively reduce ship exhaust pollution in China, the Ministry of Transport through the establishment of ship emission control area program, stage by stage and regional limits on the sulfur content of fuel used by ships sailing in China’s ports and coastal inland river waters. Through the implementation of the regulations of the ship discharge control area, all kinds of pollutants discharged by ships have been significantly reduced, and the environment of the port area has been improved to a certain extent. At the same time, it is also necessary to use the computer and other high-tech constantly develop new ship exhaust cleaning mode to deal with the increasingly serious environmental pollution problem.
Wear Test of Cylinder Liner and Piston Ring of Marine Diesel Engine Based on Computer Simulation Technology
Authors: Peng Chen
Published: December 2021

With the development of computer technology, computer simulation has become a powerful tool to carry out liner - piston ring wear experiment of Marine diesel engines. Turbocharged diesel engine is a typical multi-system and multi-level complex power plant. There are many factors that affect the piston change and wear speed of diesel engine in practical operation, and many factors are interrelated and influence each other. Marine diesel engine is the most important mechanical equipment in Marine engine room, which has a complex system structure. If the diesel engine fails, it will seriously affect the navigation safety of the ship. In order to reduce the loss of Marine diesel engine piston ring wear, it is necessary to rely on fault diagnosis technology for timely and reliable diagnosis and maintenance.
RETRACTED: Research on Classification of Remote Sensing Images Based on Artificial Intelligence
Authors: Peng Yuanyuan , Liu Jie
Published: December 2021

With the rapid development of image processing technology, remote sensing technology has received increasing attention. Relying on artificial intelligence technology and using the advantages of principal component analysis (PCA) to reduce the dimensionality of features, this paper proposes a remote sensing image classification method based on SVM. First, LBP operator is used to extract remote sensing image features, and then PCA is used to perform remote sensing image features. The dimensionality reduction process reduces the feature dimensionality and eliminates feature redundant information, and obtains features that have a large contribution to the classification result. Finally, SVM is used for remote sensing image classification. The results show that PCA-SVM improves the efficiency and accuracy of remote sensing image classification.
Research and Analysis of Machine Design Based on Computer Aided Technology
Authors: Yan Jinhua
Published: December 2021

Compared with the traditional mechanical engineering design, the intelligent mechanical engineering automation design has obvious economic applicability. In recent years, with the continuous development of China’s mechanical engineering design field, mechanical engineering design has been effectively innovated and promoted, automation technology as a representative of which also has an obvious role. In this paper, the concept of mechanical design, manufacturing and construction in the new era is expounded, and the principle and application of intelligent technology are analyzed for readers’ reference.
Research on the Effect of Light and Shadow in Computer-aided Interior Design
Authors: Yuan Jialin
Published: December 2021

For interior design students, in addition to learning the principles of interior design, the most important thing they learn is how to better use computer technology to assist their design. For example, AutoCAD drafting trains students to use computer software to draw their own designs according to industry norms; 3DMAX helps students to display their designs with realistic effects; not to mention PS and VRay rendering, which is a great help for lighting. All these situations show that today’s interior lighting design is inseparable from the assistance of computers. Based on this, this paper explores the effects of computer-aided interior design lighting.
Research on Trusted Interconnection of Power Internet of Things Perception Terminal
Authors: Zhang Hao , Ma Lei , Chang Yingxian , Liu Xin , Chen Jianfei , Liu Donglan , Wang Rui , Huang Xiaoli , Zhang Yong , Yu Hao
Published: December 2021

Based on the perception technology of power Internet of Things, this paper selects software such as Load Runner 10.0 as the research tool, simulates the application of network software of 60 clients through four computers simultaneously, and detects its relevant running status. Studies have found that the majority of users can normal login, using the system operation, the complete set of business processes, but at the same time, this study also continue to explore complex business operation in the process of software development problems, on the basis of monophyletic Overlay the development road of processing nodes to join, the goal is to fusion power iota perception technology, promote the further development and application of iota perception software.
Design and Research of Wrist-Assisted Recovery Robot Hand
Authors: Zhang Junzheng , Kang Cunfeng
Published: December 2021

With the gradual development of the times, people’s material life has been greatly improved. All kinds of sports have become an indispensable part of people’s life, but sports are always accompanied by certain risks. People injured by sports show an increasing trend every year. However, it can be found that among many rehabilitation instruments, there is not much research on wrist rehabilitation instruments, which leads to the restoration of bandage splint or plaster fixation in most of the time. These traditional methods have the problems of slow recovery cycle, difficult disassembly and complex replacement. At the same time, most of the wrist rehabilitation instruments that have been developed are large and medium-sized instruments, which can not be carried, can not play a real-time protective role, and can not be well applied to daily life. Therefore, a wearable periodic recovery robot with traditional strap splint, modern transmission and flexible positioning is proposed.
Construction and Analysis of Intelligent Transportation Based on Computer Network Technology
Authors: Zhang Wei , Wu Xianhuan
Published: December 2021

With the continuous development of urbanization in China, urban traffic problems are gradually highlighted. In the future, intelligent transportation system will be the most important method to solve the demand of urban traffic. The realization of intelligent transportation system requires real-time perception and monitoring of road traffic conditions. Fortunately, with the continuous development of mobile communication, satellite positioning, Internet of Things, big data and other technologies, GNSS, RFID, microwave, geomagnetic, video and other acquisition methods have been widely used in information perception in the field of urban traffic. Based on the concept of intelligent transportation, this paper constructs an intelligent transportation system based on Internet network technology, which has a certain guiding significance for the construction of intelligent transportation under computer network technology.
Application of Random Walk Model in Mobile Communication Data Optimization
Authors: Zhang Wen
Published: December 2021

With the continuous development of society and economy, the development and application of mobile communications have become more and more popular, and more people have begun to use mobile devices for office, study and life. The quality of mobile communications network signals directly affects people’s experience of use. The scope of actual application has gradually increased with the renewal of the technology itself. Based on the random walk model, this paper constructs a mobile communication data optimization plan. Through data storage, transmission delay, and information total control, the optimization form of wireless network mobile communication data transmission performance is studied. Practice shows that this scheme can effectively improve communication quality and transmission efficiency.
Preliminary Study on Sapphire Color Grading Method Based on Automatic Clustering Algorithm of Color Space Features
Authors: Lin Liujun
Published: December 2021

Traditionally, the color grading of sapphire is mainly based on the naked eye judgment of the appraiser. This judgment standard is not clear enough, and the judgment result has a greater subjective influence, which affects the accuracy of the classification. In this study, the GEM-3000 ultraviolet-visible spectrophotometer was selected, and the color features of 180 sapphire samples were extracted and classified using the CIE1976 color space of the device. The Kmeans algorithm was used to cluster analysis of 140 samples, and the separability of the color space features of different color levels was verified, and the center sample of each color level was obtained. The Euclidean distance between the centers of the remaining 40 samples is calculated, and each color grade prediction label is determined, and the sapphire color is automatically classified based on this. The experimental results show that the accuracy of sapphire color classification using the above method is 97.5%, which confirms the effect and accuracy of the artificial intelligence method in sapphire color classification.
Construction of Concrete Surface Crack Recognition Model Based on Digital Image Processing Technology
Authors: Kang Yuzhong , Yu Aimin , Zeng Wenquan
Published: December 2021

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

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

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.
Research on the Application of Power Electronics Technology Based on Computer Simulation Software Technology
Authors: Sun Xiaoyun
Published: December 2021

With the development and improvement of computers, computer simulation software technology has become more and more widely used in all walks of life, especially in the electronics and power industries. This article mainly focuses on the application research of computer simulation software technology in electronic power technology.
Fuzzy Neural Network Algorithm in Improving Electrical Engineering Control System
Authors: Tian Xiaotao
Published: December 2021

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

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

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

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

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

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.