Simulation Techniques of Digital Twin in Real-Time Applications

5Digital Twin System for Intelligent Construction of Large Span Assembly Type Steel Bridge

Sucheta

Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Rajpura, Punjab, India

Abstract

There is growing demand for deep learning nowadays. It is a sort of machine learning based on artificial intelligence in which multiple computing layers are used to extract higher level features from data. We do predictions using a single layer, but additional hidden layers can give more accurate and refined results. A computer trains to do classification tasks directly from images, text, or audio sound using deep learning and sometimes gives more accurate results compared to humans. This review covers the colossal information of deep learning under one article. We have also studied different types of deep learning algorithms, types of training, innovation, and architecture applications. In this paper, deep learning algorithms are applied with digital twin technology to improve the efficiency in processing the large amount of sensor data and analyzing data patterns for making accurate predictions. At the present time, digital twin is used in a wide area of domains like in medicare, automotive industry, telecommunication, energy industry, etc. Apart from these areas, digital twin is widely used in the construction field, especially in steel bridges, buildings, construction of tunnels, etc. In this paper, we use an integrated model of deep ...