Zobrazeno 1 - 10
of 209
pro vyhledávání: '"digital twin model"'
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Ports are of great significance in processing cargo containers and facilitating global marine logistics. Nevertheless, the susceptibility of the container shipping network for hazardous cargo is likely to intensify in the event of a significant disru
Externí odkaz:
https://doaj.org/article/01efdab678ae4cd5a3533162a3728d4d
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 11 (2024)
INTRODUCTION: The highway monitoring data acquisition technology develops quickly. Based on the traditional form of continuous monitoring, intelligent management system focuses on digital and wireless transmission. In the operation of highway mainten
Externí odkaz:
https://doaj.org/article/8da902ab86014fdb9e8219829517215a
Publikováno v:
工程科学学报, Vol 45, Iss 11, Pp 1868-1877 (2023)
As one of the major energy-consuming processes in steel production, sintering accounts for approximately 10% of the total energy consumption of steel production. The energy consumed in the sintering process is mainly attributed to solid fuels. Additi
Externí odkaz:
https://doaj.org/article/431b07d30f5f4d31acf6bfaac2e146cc
Publikováno v:
Urban Rail Transit, Vol 9, Iss 4, Pp 281-293 (2023)
Abstract Rapid urban expansion and the development of urban rail transit networks have led to a deteriorating vibration environment along metro lines. These long-term vibrations pose significant challenges to adjacent buildings, such as opera theatre
Externí odkaz:
https://doaj.org/article/f06ccbdb4e314dad883cd4e433843ac5
Publikováno v:
Buildings, Vol 14, Iss 7, p 2113 (2024)
Digital twin technology significantly enhances construction site management efficiency; however, dynamically reconstructing site activities presents a considerable challenge. This study introduces a methodology that leverages camera data for the 3D r
Externí odkaz:
https://doaj.org/article/314befbe96d94bfab862c1cc3d9250a7
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1219 (2024)
Due to the influence of meteorological conditions, shipboard photovoltaic (PV) systems have problems such as large fluctuation and inaccurate prediction of the output power. In this paper, a short-term PV power prediction method based on a novel digi
Externí odkaz:
https://doaj.org/article/eba44af9667c42cdb39a9782592c0a2d
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This article presents an innovative method for predicting transformer temperature and faults in distribution substations using a digital twin model combined with deep learning techniques. By constructing a digital model of the transformer, real-time
Externí odkaz:
https://doaj.org/article/79b77c7cd3ee4082b033ae7eb65966e8
Autor:
Yang Juntong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this study, we address the intelligent design requirements of a cold storage system by developing a monitoring module for operational oversight, setting up the requisite hardware and software operating environment, and establishing a three-dimensi
Externí odkaz:
https://doaj.org/article/54e95d0f6ffd45ae9f7ae0643980f2a0
Publikováno v:
Lubricants, Vol 12, Iss 6, p 185 (2024)
The spindle tool is an important module of the machine tool. Its dynamic characteristics directly affect the machining performance, but it could also be affected by thermal deformation and bearing preload. However, it is difficult to detect the chang
Externí odkaz:
https://doaj.org/article/8ac0fd76560a46b5925a3bb8fdfe85f1
Autor:
A. Zifarelli, A.F.P. Cantatore, A. Sampaolo, M. Mueller, T. Rueck, C. Hoelzl, H. Rossmadl, P. Patimisco, V. Spagnolo
Publikováno v:
Photoacoustics, Vol 33, Iss , Pp 100564- (2023)
A comparative analysis of two different approaches developed to deal with molecular relaxation in photoacoustic spectroscopy is here reported. The first method employs a statistical analysis based on partial least squares regression, while the second
Externí odkaz:
https://doaj.org/article/f0f034f247804e389bae054e2c0d55cb