International Journal of Engineering Intelligent Systems

Application of 5G Wireless Communication and BIM Technology in Management of Construction Projects

2024-06-06T19:10:17-07:00

With today’s advancement of science and technology, people’s demands for energy saving and environmental protection are increasing. The construction industry has huge carbon emissions and high energy consumption. Hence, technological transformation and industrial upgrading have always been the focus of social attention. From the “Eleventh Five-Year Plan” to the “Thirteenth Five-Year Plan”, China has established specific targets for energy conservation and emission reduction, albeit with little significant effect. As a new technology, BIM provides the best entry point and reform direction for the transformation of China’s construction industry. At present, the research and application of Building Information Modeling (BIM) technology is still in the emerging stage. In the construction stage, especially in large and complex construction projects, the BIM technology
has not been fully applied. However, given the current development trend, the application of BIM technology in the field of construction may become a mandatory requirement for industrial development and national construction. Therefore, in this paper, we propose the application of 5G wireless communication and BIM technology in the management of construction projects. This paper first introduces 5G communication technology and MIMO-D2D coexistence system. Then, it conducts in-depth research on its precoding technology algorithm and, finally, the experimental part analyzes the trend of China’s construction industry using BIM technology to research and analyze various aspects of construction such as building safety and completion speed. The experimental results show that the application of BIM technology can speed up the laying of bricks by up to four
times or more compared to the traditional method. Ultimately, this means that BIM technology will greatly influence the speed with which the whole construction process can be completed.

Keywords: BIMTechnology, Construction Project Management, 5GWireless Communication, D2D Communication Technology

Cite As

H. Pan, "Application of 5G Wireless Communication and BIM Technology in Management of Construction Projects", Engineering Intelligent Systems, vol. 32 no. 3, pp. 191-201, 2024.

Building a Low Carbon Supply Chain Energy Conservation and Emission Reduction System for Logistics Enterprises Based on Autonomous Decision Intelligence

2024-06-06T19:20:05-07:00

With the development of global economic integration, the number of environmental issues brought about by rapid developments cannot be underestimated. Global climate change is becoming increasingly severe, and governments at all levels around the world are using various means to reduce their own carbon emissions. In a business environment characterized by increasingly fierce competition, the discrepancies and problems existing in traditional logistics enterprises are becoming more acute. At present, information technology is changing rapidly and, consequently, various fields are developing rapidly. Market and customer expectations are also changing, imposing enormous pressure on transportation logistics. Therefore, in the field of logistics, the advantages of a lowcarbon supply chain (LCSC) energy-saving and emission reduction systembased on autonomous decisionmaking (ADM) intelligence for logistics enterprises stand out among traditional logistics systems. ADM can improve the operational efficiency of the logistics supply chain (LSC) while reducing the impact of logistics-related industries on the environment. However, at present, the research on the energy-saving and emission reduction systems of logistics enterprises is not adequate, making it essential to study these aspects of the logistics industry. Researchers are attempting to improve traditional LSC by upgrading their systems to address issues such as poor efficiency and high emissions. This
current study found that ADM can optimize the energy conservation and emission reduction system of LCSCs, and can effectively reduce the impact of the logistics industry on the environment. This study investigated this method of optimization using Petri net decision algorithm and examples. The results of statistical analysis showed that the impact of traditional LSC on the environment increased by 0.5% between 2015 and 2020, indicating an urgent need to reform traditional LSCs. This study investigated the advantages of ADM intelligence that can help to improve the energy conservation and emission reduction systems of LCSCs. The results indicate that with the utilization of ADM intelligence, the energy-saving and emission reduction system is more efficient and reduces emissions the emissions of each link in the supply chain.

Keywords: autonomous decision-making, low carbon, supply chain, reduce emissions

Cite As

X. Chen, F. Tian, "", Engineering Intelligent Systems, vol. 32 no. 3, pp. 203-211, 2024.

Convolutional Neural Network-Based Robot Path Planning and Equipment Obstacle Intelligent Recognition System

2024-06-06T20:32:42-07:00

With the development of global economic integration, the number of environmental issues brought about by rapid developments cannot be underestimated. Global climate change is becoming increasingly severe, and governments at all levels around the world are using various means to reduce their own carbon emissions. In a business environment characterized by increasingly fierce competition, the discrepancies and problems existing in traditional logistics enterprises are becoming more acute. At present, information technology is changing rapidly and, consequently, various fields are developing rapidly. Market and customer expectations are also changing, imposing enormous pressure on transportation logistics. Therefore, in the field of logistics, the advantages of a lowcarbon supply chain (LCSC) energy-saving and emission reduction systembased on autonomous decisionmaking (ADM) intelligence for logistics enterprises stand out among traditional logistics systems. ADM can improve the operational efficiency of the logistics supply chain (LSC) while reducing the impact of logistics-related industries on the environment. However, at present, the research on the energy-saving and emission reduction systems of logistics enterprises is not adequate, making it essential to study these aspects of the logistics industry. Researchers are attempting to improve traditional LSC by upgrading their systems to address issues such as poor efficiency and high emissions. This
current study found that ADM can optimize the energy conservation and emission reduction system of LCSCs, and can effectively reduce the impact of the logistics industry on the environment. This study investigated this method of optimization using Petri net decision algorithm and examples. The results of statistical analysis showed that the impact of traditional LSC on the environment increased by 0.5% between 2015 and 2020, indicating an urgent need to reform traditional LSCs. This study investigated the advantages of ADM intelligence that can help to improve the energy conservation and emission reduction systems of LCSCs. The results indicate that with the utilization of ADM intelligence, the energy-saving and emission reduction system is more efficient and reduces emissions the emissions of each link in the supply chain.

Keywords: autonomous decision-making, low carbon, supply chain, reduce emissions

Cite As

W. Sun, H. Lin, "Convolutional Neural Network-Based Robot Path Planning and Equipment Obstacle
Intelligent Recognition System", Engineering Intelligent Systems, vol. 32 no. 3, pp. 213-223, 2024.

Design of Virtual Reality Visualization Display System Based on Big Data Technology

2024-06-06T20:37:31-07:00

With the widespread application of computer network technology, a large amount of data is generated in computer networks, leading to the era of big data. The construction of big data informatization has always been a focus of digital development, because the big data industry provides an indispensable technical support to industry, commerce, government, health, and other sectors of society. The development of social science and technology has led these various sectors to adopt big data technology, resulting in the emergence of technologies and their applications in various industries. Virtual reality (VR) is one such technology. Because traditional visualization display methods are unable to effectively display visual data, this study has explored existing visualization display methods by combining big data technology withVR visualization technology. This study used big
data technology to design a VR visualization display system that can present to the user images from multiple perspectives. The proposed method can improve the speed of visual data processing which, subsequently, can improve the smoothness of data conversion images. The experimental results showed that the proposed visual display system increased the frame count by 14.7 frames, with a high level of smoothness and clear and smooth dynamic effects. With the continuous development of technology and VR visualization display systems, the field of VR will continue to be improved, and other fields can provide effective references when using big data technology.

Keywords: big data technology; virtual reality; visualization technology; system design; data processing

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T. Zhang, "Design of Virtual Reality Visualization Display System Based on Big Data Technology", Engineering
Intelligent Systems, vol. 32 no. 3, pp. 225-233, 2024.

Visualization of Architectural Cultural Heritage Model Based on VR Virtual Reality Technology

2024-06-06T20:44:46-07:00

In the field of culture and art, virtual reality (VR) can restore cultural relics and historical sites through digital means, providing people with a more convenient means of exhibiting and curating cultural relics, sculptures, and three-dimensional painting. By roaming through 3D virtual ancient buildings, the researcher analyzed the structure of the buildings and obtained sample data. Using this data, preliminary modeling was conducted using 3D Studio Max (often referred to as 3D Max or 3ds MAX). In this article, 3DS Max used surface segmentation technology to simplify the process of model establishment. The researcher constructed the application software framework of the system, and imported it into the initial model, mapped and optimized the initial model, and achieved the 3D roaming control through the 3D virtual ancient building roaming system. When establishing the
model, both the required positions and surface parameters in the model were saved, as well as the relevant information in the model. The visualization of the architectural cultural heritage model is achieved through the system interface. The rating for the dissemination method of virtual architectural cultural heritage models was 93, while the rating for physical architectural cultural heritage was 84. VR technology plays an immeasurable role in protecting architectural cultural heritage and inheriting traditional culture.

Keywords: virtual reality technology, architectural cultural heritage models, model visualization, ancient architecture roaming

Cite As

L. Hu, "Visualization of Architectural Cultural Heritage Model Based on VR Virtual Reality
Technology", Engineering Intelligent Systems, vol. 32 no. 3, pp. 235-243, 2024.

Parallel Computing Technology Based on Computer Simulation

2024-06-06T20:50:37-07:00

A parallel computing model is a medium connecting computer software and hardware. The parallel computing model is an abstract computing model generated based on the abstract extraction of essential features of various parallel computing technologies. On this computing model, the optimal solution algorithm of the problem required by the design scheme was analyzed and designed, and the optimization algorithm was completed by compiling the programming language efficiently. In order to better study the model of parallel computing technology, this paper explored parallel computing based on computer simulation. It was found that parallel computing based on computer simulation took much less time to execute the
computing of different data scales than traditional parallel computing methods. The usage rate of the central processing unit (CPU) of the parallel computing technology system proposed in this paper was less than that of the traditional parallel computing system under different data scales. When the data was 10000, the CPU utilization of the parallel computing system studied in this paper was 43%, which was 10% lower than that of the traditional parallel computing system. It can increase the saving of CPU resources and help the system run better and faster. Therefore, it is worthwhile studying parallel computing based on computer simulation.

Keywords: parallel computing technology, computer simulation, traditional parallel computing, matrix laboratory

Cite As

W. Wang, "Parallel Computing Technology Based on Computer Simulation", Engineering Intelligent Systems,
vol. 32 no. 3, pp. 245-255, 2024.

Data Center Energy Management Based on Cloud Computing and Artificial Intelligence

2024-06-06T20:56:18-07:00

Cloud computing (CC hereafter) is a relatively new technology, which has the characteristics of high resource utilization, flexible management and good scalability. However, because a large number of computing and storage resources are concentrated in the cloud, it becomes more difficult toeffectively manage energy. Hence, this paper proposes a nonlinear energy consumption model based on artificial intelligence (AI) and CC. The main components of energy consumption, such as central processing unit (CPU), memory and hard disk, were calculated, and statistics and regression analysis were carried out on the utilization rate of each component. Subsequently, the corresponding energy consumption prediction model was obtained. In the energy consumption model, this paper fully considered the influence of CPU on the energy consumption of other components, and designed the influencing factors between components so as to ensure the accuracy of the model. In the energy consumption model, the impact of CPU on the energy consumption of other components was taken into account, and the factors impacting the various components were designed to ensure the accuracy of the model. From the analysis of the nonlinear model, it is evident that the highest and lowest predicted values of the linear segmented model were 147 and 72, respectively. In the linear single-line model, the highest and lowest predicted values were 163 and 80, respectively. The highest and lowest predicted values under the nonlinear single-line model were 153 and 85 respectively. The highest and lowest predicted values under the nonlinear segmented model were 174 and 97, respectively. Therefore, it is very necessary to study the energy management of data center (DC hereafter) by using an AI algorithm.

Keywords: Energy Management, Data Center, Artificial Intelligence, Cloud Computing

Cite As

X. Chen, Y. Tang, "Data Center Energy Management Based on Cloud Computing and Artificial
Intelligence", Engineering Intelligent Systems, vol. 32 no. 3, pp. 257-266, 2024.

Visual Design of Computer Human-Computer Interaction Interface Based on Wireless Network

2024-06-06T21:02:31-07:00

The design of human-computer interaction interfaces has always been a hot topic in the field of computer science, with the main focuses being on implementation techniques, development tools, and development methods. Due to the interdisciplinary nature of human-computer interaction, it is necessary to discuss the visual design of interfaces. This study explored the visual design of computer human-computer interaction interfaces based on wireless networks, explored the constraints and visual design elements in human-computer interface design, analyzed the constraints of humancomputer interaction interface design, and discussed the visual design elements such as text, image, color, etc. in human-computer interface design. The visual design standard of human-machine interfaces under a wireless network was proposed, and the color image correction and enhancement
(ICE) algorithm for visual design of interfaces based on a wireless network was built. The experimental results show that the proposed color ICE system can improve the clarity of image colors. Also, when compared with the other systems used in the experiments, the color ICE based on wireless network interactive interface visual design has the shortest time consumption and highest processing efficiency for enhancing human-machine interface visual design. This proves that color ICE can improve the clarity of image colors, and color ICE based on wireless network interactive interface visual design has the shortest time consumption and highest processing efficiency for enhancing human-machine interface visual design.

Keywords: human-computer interaction, interactive interface design, visual design, computer technology, wireless network

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Y. Gu, W. Gu, Q. Wang, D. Kim, "Visual Design of Computer Human-Computer Interaction Interface Based on
Wireless Network", Engineering Intelligent Systems, vol. 32 no. 3, pp. 267-275, 2024.

Weak Convergence of Truncation Error of Differential Order Partial Derivative Equations Under Mathematical Chaos Theory

2024-06-06T21:07:26-07:00

Based on the theory that the stability of the boundary value of the differential order partial differential equation is the key factor in the stability control of the fuzzy two-degree-of-freedom control system, the weak convergence of the partial derivative truncation error is analyzed. First, by means of mixed-logic mapping, the quasi-linear differential equation of the nonlinear dynamic mixed control model is established; then, the constraint problem of the partial differential equation is analyzed using the differential equation of the eigenvalue inverse stable solution with the introduction of boundary conditions; finally, the quasi-linear equation is used with the time-delay characteristic. The function-dependent properties of differential equations traverse the solution space, and the truncation error analysis of the weak convergence and stability of the solution space is obtained. The results show that the differential order partial differential equations have weak convergence of truncation error and good convergence in a fuzzy
two-degree-of-freedom control system.

Keywords: time-delay effect; quasi-linear differential equation; truncation error weak convergence problem; convergence

Cite As

Z. Guo, X. Guo, "Weak Convergence of Truncation Error of Differential Order Partial Derivative
Equations Under Mathematical Chaos Theory", Engineering Intelligent Systems, vol. 32 no. 3, pp.
277-284, 2024.