Smart City Gnosys
Smart city article details
| Title | Digital Twins And Cyber-Physical System Architecture For Smart Factory |
|---|---|
| ID_Doc | 20273 |
| Authors | Kodieswari A.; Sabarmathi K.R.; Kavitha A.; Gayathiri N.R. |
| Year | 2023 |
| Published | Digital Twin for Smart Manufacturing |
| DOI | http://dx.doi.org/10.1016/B978-0-323-99205-3.00001-8 |
| Abstract | Digital twin (DT) mimic the physical devices that support IT professionals and data scientists to run simulations of the mockups before it is built and deployed. DT is a digitized representation of a physical entity. It is like a computer code that accepts the inputs from physical entities and produces the outputs as prediction or simulation of working of the model based on the received input. The idea was first sparked in NASA for space capsules, to test the effect of capsules before using them in orbit. Later, Gartner predicted that in future DT will exist for billions and billions of things. The applications of DTs are found in healthcare, manufacturing, automotive, smart cities, and so on. Smart factory is a digitized urban area that uses various electronic components to collect data, maintain assets, resources, and services effectively and efficiently. The implementation of IoT made DT more popular in digital applications due to its cost-effectiveness and user-friendliness. For smart cities, the DT is most evident and effective from urban planning to optimization of land usage. The plan and implementation of smart factory is simulated using DT to understand the difficulty before exploring in real time. Using digital tools, the architecture, housing, wired and wireless networking, solar lights, solar panels, public transportation, mobile hospitals are planned and analyzed. Thus, the digitized transformation supports in understanding what could be done to improve citizens’ living, supporting in implementation of social technological changes and also creating economic opportunities for the government. The DT for smart factory brings the virtualization visibility on human infrastructure technological interaction, helps understand the fluctuations, and makes DT more smarter from the IoT input data in terms of performance and growth. © 2023 Elsevier Inc. All rights reserved. |
| Author Keywords | Digital twin; IoT; smart factory |
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