Application Of Intelligence Technology Research Articles

A MOF-derived Zn-TiO2 electrochromic supercapacitor

Electrochromic supercapacitors caused widespread concern due to their ability to exhibit color changes to monitor the charging and discharging states. However, the unsatisfactory energy storage and electrochemical durability seriously hinder their practical applications, especially for titanium dioxide (TiO2) electrochromic supercapacitors. To address the above issues, a strategy for designing the novel bi-functional Zn-TiO2 film derived from the metal-organic framework (MOF)-based material is proposed for the first time. The ZnO@zeolitic imidazolate framework-8 (ZIF-8) acts as the self-sacrificial template, beneficial from the diverse porous structure of ZIF-8 and the core-shell structured of ZnO@ZIF-8, the obtained Zn-TiO2 film inherits the large pore volume and specific surface area, facilitating ion/electron intercalation/deintercalation and transport, presenting good electrochemical performance, large specific capacitance, and good constant current charging and discharging stability. In addition, the persistent deintercalation of the embedded Zn2+ in the TiO2 lattice continuously generates new available sites for Li+ intercalation, and the highly porous structure of Zn-TiO2 provides sufficient space to cope with the volume expansion during the electrochemical cycling, leading to the superior durability of the film. Finally, an asymmetric electrochromic supercapacitor using the Zn-TiO2 electrode is constructed and investigated. This study promotes the exploration for designing and fabricating the high-performance electrochromic supercapacitors towards intelligent technology applications.

Application of Intelligent Technology in Intelligent Building Integrated Management Platform in Multi-Dimensional Data Environment: Based on MySQL

Application of Intelligent Technology in Intelligent Building Integrated Management Platform in Multi-Dimensional Data Environment: Based on MySQL

Application on Intelligent Technology of Electrical Engineering and Automation

In the electrical industry, the complexity and construction scale of electrical engineering are increasing, the traditional technology has been difficult to efficiently adapt to the development needs of the new era industry, deepening the popularization of the application of intelligent technology in electrical engineering and automation, is an important development direction of the electrical industry. This paper describes the basic connotation of electrical engineering and automation and intelligent technology, analyzes the electrical engineering and automation intelligent technology application in improving the level of system control, improve data processing accuracy and optimize the significance of system design, studied the electrical engineering and automation system in fault response processing, automation control, system design, the specific application of real-time monitoring.

The Job Perception Inventory: considering human factors and needs in the design of human-AI work.

Artificial intelligence (AI) is seen as a driver of change, especially in the context of business, due to its progressive development and increasing connectivity in operational practice. Although it changes businesses and organizations vastly, the impact of AI implementation on human workers with their needs, skills, and job identity is less considered in the development and implementation process. Focusing on humans, however, enables unlocking synergies as well as desirable individual and organizational outcomes. The objective of the present study is (a) to develop a survey-based inventory from the literature on work research and b) a first validation with employees encountering an AI application. The Job Perception Inventory (JOPI) functions as a work-analytical tool to support the human-centered implementation and application of intelligent technologies. It is composed of established and self-developed scales, measuring four sections of work characteristics, job identity, perception of the workplace, and the evaluation of the introduced AI. Overall, the results from the first study from a series of studies presented in this article indicate a coherent survey inventory with reliable scales that can now be used for AI implementation projects. Finally, the need and relevance of the JOPI are discussed against the background of the manufacturing industry.

Influence of Intelligent Technology Applications on the Learning Effect

With the continuous application of intelligent technology, Virtual Reality (VR) technology has become a hot topic of development. VR has unique advantages in the field of the teaching due to its characteristics of immersion, interaction and sociality. Therefore, it is necessary to pay attention to the influencing factors of VR teaching on learning effect, to improve the quality of courses through improvement of relevant influencing factors and to help to reverse further development of VR technology. A questionnaire survey on influencing factors of teaching application of VR technology on the learning effect of college students was conducted. Through data collection of students of various majors and grades in multiple comprehensive universities, statistical analysis and regression empirical analysis were carried out. Results show that different majors, grades, and students’ autonomous learning ability have different influences on the teaching application of VR technology. In addition, there are many influencing factors such as network fluency, situational sense of interaction, teachers’ teaching ability and the difficulty of course design, etc. According to the conclusions, some suggestions on improving VR teaching and learning effect are put forward. It is expected to improve the learning effect and efficiency of college students under the application of VR teaching, and promote the further development of VR teaching.

Clinical application of intelligent technologies and integration in medical laboratories

AbstractWith the development of scientific technology, the transition to the intelligent era of digitalization and automation is an irresistible trend for medical laboratories. Medical diagnosis systems have undergone significant changes as a result of intelligent technologies, such as machine learning, artificial intelligence, and the Internet of Things, from the collection, transmission, and detection of test samples to the review of reports and the provision of clinical feedback. In addition to significantly enhancing the efficiency, consistency, and accuracy of medical laboratory testing, these technologies also assist the improvement of individualized healthcare and medical expert systems, as well as the early detection and treatment of diseases. The future development of medical laboratories will focus on integrating big data and diverse intelligent resources, cooperating more closely with clinical departments, and realizing the effective pathway of patient‐centered care. The purpose of this review is to illustrate the current state of intelligent technology integration in medical laboratories and provide a preliminary discussion about the potential future influences of intelligent technology development on the evolution of medical laboratories.

The Impact of Digital Transformation of Circulation Industry on The Circulation Efficiency of Agricultural Products

This paper aims to study the impact of the digital transformation of the circulation industry on the efficiency of agricultural product circulation. Through literature review and empirical analysis, this paper finds that digital transformation can promote the improvement of the circulation efficiency of agricultural products, mainly in the aspects of informatization, logistics and intelligence. Digital transformation can improve the information transparency of agricultural products, reduce circulation costs, increase circulation speed, and shorten the length of the supply chain. Digital transformation can also improve the transportation efficiency of agricultural products through the application of logistics technology, and further improve the circulation efficiency. Digital transformation can also improve the quality and safety of agricultural products and increase consumers' trust in agricultural products through the application of intelligent technologies. This paper proposes the impact mechanism of digital transformation on the circulation efficiency of agricultural products, and puts forward policy recommendations to promote the application of digital transformation in the circulation of agricultural products.

Visual inspection intelligent robot technology for large infusion industry

Abstract The application of intelligent technology has realized the transformation of people’s production and lifestyle, and it has also promoted the development of the field of medicine. At present, the intensity of intelligence in the field of medicine is increasing. By using its cash methods and techniques combined with the mechanical field, this article proposes to use visual inspection technology to understand the fusion of the medical field and the mechanical field. It is helpful to analyze and solve objective problems such as low efficiency in current infusion and insufficient rigidity of large infusion plastic bottles. Drawing on the principles and laws of deep learning algorithms and neural networks, the technical research of intelligent robots for visual inspection is carried out to realize the intelligence of infusion robots. In the research accuracy of detection, the detection rate of standard particles higher than 85 µM has reached almost 100%, and the rate of 50 µM standard particles is lower and unstable. The detection effect of the control light bulb control was different, and the detection rate was between 50 and 80%, which was obviously worse than the detection robot effect. Therefore, the current research on the technology of intelligent robots is very important.

The Application of Intelligent Technology in Community Environment Design

The Application of Intelligent Technology in Community Environment Design

Can smart cities bring happiness to promote sustainable development? Contexts and clues of subjective well-being and urban livability

Smart city development has gone beyond pure applications of intelligent technologies and requires effective integration of human well-being, social landscapes, and the built environment to create sustainable living. Happiness reflecting citizens’ quality of life could be the gateway to sustainability, but few studies incorporated it into smart city planning. This paper clarifies the correlations between smart cities and urban happiness. The analyses show that the smart environment associated with green spaces, air pollution control, and recycling services significantly influences happiness. Moreover, improving urban infrastructure thoroughly is more critical for increasing well-being and livability than providing technical products for end users. Finally, different geographically gathered cities would face different challenges in maintaining happiness, including local (e.g., housing and population density) and global (e.g., the North-South divide) issues. Urban planners and governments must understand local and cultural contexts while cultivating global visions to identify cities’ actual needs and achieve sustainable development goals.

Triboelectric nanogenerators for smart agriculture

AbstractRapid iterations of sensing, energy, and communication technologies transform traditional agriculture into standardized, intensive, and smart modern agriculture. However, the energy supply challenge for the plentiful sensors or other microdevices constraints the extensive application of intelligent technologies in agriculture. Triboelectric nanogenerator (TENG), which efficiently converts mechanical energy into electrical energy through contact electrification and electrostatic induction, is considered a promising way to build next‐generation intelligent energy supply networks. By efficiently harvesting low‐frequency mechanical energy from the agricultural environment, including wind, rain, and water flow energy, TENGs can be a strong contender for distributed power for microdevice networks in smart agriculture. In addition, highly customizable TENGs can be combined with microdevices in agriculture to enable self‐powered agricultural monitoring and production strategy adjustment. By deeply exploring the application potential of TENG in agriculture, it is conducive to further promoting unmanned production, refinement, and intelligence of agricultural production and enhancing agriculture's ability to combat natural risks.image

Optimized Design for Reliability of Pointer Irrigation Machine Components for Intelligent Computing

The application of intelligent technology has realized the transformation of people’s production and lifestyle, and also promoted the development and transformation of the agricultural field. At present, the application of agricultural intelligence is getting stronger and stronger; using its intelligent advanced methods and technologies, this paper aimed to achieve the optimization of sprinkler irrigation machine parts in the intelligent network environment to promote the rapid development of agriculture, and proposed the use of the NSGA-II algorithm in intelligent computing to guide the integration of artificial intelligence and pointer sprinkler parts, which helps to analyze and solve the objective problem of machine failure and parts damage in agriculture. In the study of the sprinkler gear system, from the perspective of gear efficiency, since it is optimized according to the minimum efficiency point of the fourth gear of the gear reducer, compared with the gear efficiency of 49.05% before this point, the efficiency of this point after optimization is 59.45%, and the minimum efficiency point will be increased by 21.2%. And because the energy loss unrelated to the power loss load will be greatly reduced, these energy losses have a greater relationship with the structure of the gearbox. In terms of each gear, compared with the previous period, the efficiency of the first gear was increased by 8.5% to 15.9%; the efficiency of the second gear increased by 8.7% to 17.4%; the efficiency of the third gear increased by 9.4% to 18.7%; and the efficiency of the fourth gear increased by 10.1% to 21.2%. Therefore, it is currently necessary to optimize the components of the sprinkler irrigation machine.

Research progress of intelligent operation and maintenance of high-speed railway bridges

Abstract The new generation of information technology, such as artificial intelligence, brings new opportunities for the efficient and intelligent development of high-speed railway (HSR) bridge operation and maintenance. Intelligent technology integrates the damage identification and maintenance of HSR bridges, and profoundly changes the development of HSR bridge operation and maintenance. The application of intelligent technology in the upgrading of detection equipment, the improvement of data and image processing efficiency, three-dimensional information reconstruction, and other aspects will form new technologies for automatic, efficient, and intelligent detection, monitoring, maintenance and disaster management, and control of HSR bridges. To assess the research and development trends in this field, this paper expounded the relevant research and application in the field of intelligent operation and maintenance of HSR bridges from the development status of HSR bridges, the application of intelligent equipment and algorithms in this field, and summarized the problems and future development for the intelligent operation and maintenance of HSR bridges.

Application of Intelligent Technology on Tunnel Steel Structure Factory

At present, the construction of tunnel steel structure factories has been common, but most of them are still on the low end. In addition, the manual processing modes face certain problems, such as high waste rate, low efficiency, and discrete welding of steel components. To address these problems, this paper introduces an intelligent management cloud platform, aiming to realize unmanned control methods and construct an intelligent tunnel steel component processing plant. There are four main production lines in the intelligent steel structure factory. First, an intelligent production line of a tunnel grille arch effectively improves the production efficiency, production quality, and dust removal effect of the grille arch through the automatic welding technology of a reinforcement mechanism-based welding robot. Second, a processing line of a steel pipe for tunnel construction improves the overall processing efficiency, saves costs, and reduces work intensity by using an intelligent numerical control system, a pneumatic clamping device, a plasma cutting hole assembly, and a 360-degree automatic rotation system. Third, an automatic feeding platform of section steel arch production line adopts the six-axis robot sensor clamping connecting plate positioning and six-axis robot sensing three-plane automatic welding system, which not only compensates for the defects of manual production but also realizes the reduction, increases efficiency, and improves welding quality and precision. Fourth, an automatic steel mesh production line saves much labor and enhances site management and production efficiency through vertical and horizontal reinforcement pay-off racks. Overall, in this study, the construction goals of informatization, intellectualization, and personnel downsizing of the tunnel steel structure processing have been achieved.

Innovative Artistic Design of Nanomaterial Products Based on Intelligent Algorithm

At present, algorithm technology has achieved very rapid development, and it is more and more widely penetrated and applied in people’s production and life. Among them, product design based on intelligent algorithm has also been widely used. This technology plays an important role in promoting product innovation and design and contributes to the improvement and optimization of technology, showing very significant application benefits in the product design and development process of major enterprises. The application of intelligent algorithms in product design can not only make products more in line with customers’ usage habits, but also products blessed with intelligent algorithms often have more commercial value. Therefore, in order to enhance the added value of commodities, innovative design of products has become a must. Nanomaterials must have unique properties that are unmatched by general building materials, such as high surface activity, strong oxidation, and superparamagnetic. This article mainly studies design strategies from two aspects, namely the innovation of material properties and application methods, and introduces the properties of nanomaterials, their application status, and the existing problems. And it starts from the application of intelligent technology in nanomaterial products, innovative design, and development prospects, combined with actual cases, to find a feasible way for the development of innovative design and research of nanomaterial products. On this basis, it is proposed that the idea of expanding the design should reunderstand and reposition the product design of nanomaterials and make the design more acceptable to more consumers. New design ideas and methods such as adjusting material properties through intelligent algorithms provide certain assistance and support for the application of intelligent algorithms in product design innovation practice. Some completed application practices are also presented to illustrate the rationality of the application of intelligent algorithms in nanomaterial products. The results show that the crowd search algorithm has the highest optimization degree and has good stability and optimization effect, and its standard deviation is the lowest close to 0.

The Use of Intelligent Knowledge Modeling Technologies to Control The Manufacturing Process of Support Frames of Refrigeration Units for Bakery Factory

The article is devoted to the application of intelligent technologies to improve the quality of production management on the example of the manufacturing process of support frames for the installation of refrigeration units in freezers of bakeries using semi-finished products to ensure production flexibility. The relevance of the task from the point of view of increasing production efficiency, as well as the requirements for digitalization, is substantiated. The approach to the identification of significant objects and conditions of the subject area, in relation to each model, is indicated. The stages and key features of support frames manufacturing are described, which are then formalized and, ultimately, presented in the form of production and semantic knowledge models, on the basis of which it is possible to develop a knowledge base - the core of a decision support system (DSS). The main results of the work are compiled production and semantic models in a graphical representation, giving a holistic view of the modeled process in a complex. According to the production model, it is possible to trace the course of the process with the main possible deviations. The semantic model provides a holistic view of the objects of the subject area and their relationships. The frame model will be presented in further works. Similarly, it is proposed to create models for the representation of knowledge on the main and auxiliary processes of the bakery in order to use them all in complex in intelligent production management systems. The considered approach can be used by a wide range of developers of intelligent systems for food and other industrial productions and is the first and fundamental step in the modern trend of digital transformation of industrial enterprises within the framework of Industry 4.0.

Design of Underground Space Intelligent Disaster Prevention System Based on Multisource Data Deep Learning

With the rapid development of national economy, the population to big cities gathered themselves together, and especially the first-line cities, lead to city continuously extend outward, city scale is more and more big, the surface space is completely unable to meet the needs of urban development and transportation, the demand such as life, development, and use of underground space has become the important way of solving the urban development diameter. With the vigorous development of underground space, many disaster problems, such as fire and flood, have also appeared in many places, which have brought huge human and financial losses to the society. In order to solve the problem of disaster in underground space, this paper summarizes the main disasters, and urban underground space analysis of the different degrees of the risk of disasters; the emergency toughness of disaster prevention concept, combined with intelligent technology application in urban underground space disaster warning and decision-making, according to the requirement of the underground space of disaster prevention wisdom, put forward to underground space disaster, disaster prevention expert database, such as multisource data fusion. Deep learning is used to realize the linkage of disaster rescue and recovery, and an intelligent disaster prevention system based on deep learning of multisource data is established. The results show that the urban underground space disasters mainly include fire, explosion, earthquake, flood, toxic, and combustible gas. Combining with the overlapping characteristics of different disasters and the inability to define the boundaries, the theory of emergency resilience disaster prevention provides effective suggestions and measures for the decision-making and treatment of underground space fires. The intelligent comprehensive disaster prevention system of urban underground space is established from the three aspects of predisaster prevention, rescue in disaster, and reconstruction after disaster, so as to realize the full coverage of intelligent disaster prevention in the whole life cycle of underground space and provide data support for integrated decision-making of disaster prevention and reduction. The research results have important guiding significance for digitization, informationization, and intelligent construction of sudden disaster decision-making in underground space.

Overview of intelligent clothing and accessories technology system for the disabled

<p>The purpose of this paper is to explore the application of intelligent technology in the industry of the disabled. Through the systematic review of databases (redib, doaj, redalyc, bmj, bvs, dialnet and pubmed), 11 articles were obtained, describing the intelligent technology in ves-tiles devices, which are designed to help patients recover. In an interdisciplinary field, especially in the field of social sciences, there is a new and underutilized phenomenon. This review shows that further research is needed to expand this topic.</p>

Research on Application of Intelligent Technology in Building Electrical Engineering

Research on Application of Intelligent Technology in Building Electrical Engineering

Application of Intelligent Technology in Facade Style Recognition of Harbin Modern Architecture

The judgment of facade styles is an important part of the sustainable utilization and restorative process of historical architectures. Contemporary Harbin needs the help of modern architectural facade forms in the planning of the famous historic city, especially with the facade renovation of old architectures with non-cultural heritage. This paper discusses the possibility of applying advanced image recognition algorithms to the classification of the modern Harbin architectural facade styles and argues that the keys to the classification and positioning of the styles are the forms, the details, and the decorative patterns of the architectural facades, together with the deformation and the quantitative variation factors of the facade decoration symbols. Based on the conventional classification method, the facade styles of Harbin modern architecture were divided into 12 categories after data analysis. To better capture the overall structure information and the style features of the local components in the architectural images, the group convolution and the dilated convolution were added into the ResNet model, and then, the improved channel attention mechanism was introduced to construct a novel CA-MSResNet model. The CA-MSResNet model could more accurately identify the morphological elements and the style categories of the architectures, and the average accuracy reached 87.5%. These techniques, with their promising results, are expected to be further applied in the future research on the sustainable utilization and renovation of Harbin modern architecture.