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Virtual twins will drive the digital evolution of industrial

ByLeslie Langnau|January 14, 2022

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Rapid advancement towards digital transformation will position digital twins as crucial elements for businesses worldwide.

By Saloni Walimbe, Global Market Insights Inc.

数字革命正在以惊人的速度在整个工业世界中发展。各个工业部门通过集成了AI(人工智能),VR(虚拟现实)和AR(增强现实)等关键技术来适应这种发展。根据数字营销学院的数据,将近27%的经理认为数字化是业务生存的工具。
Among the vast array of technologies being leveraged as solutions for digital transformation, digital twin technology is gaining increasing favor worldwide from major entities working to establish a firm presence in the modern digital ecosystem.

数字双胞胎,也称为数字副本或virtual twins, refer to a digital copy of any physical process, system, or product. This technology helps bridge the gap between physical and virtual environments, by collecting data regarding physical elements through the use of sensors in real-time. These data are then used to replicate the element in digital form, creating a plethora of opportunities for businesses to analyze, understand, control, and optimize their operations.

Hailed as one of the most disruptive technologies of the decade, the digital twin industry, is anticipated to cross $50 billion by 2027 and will likely be a major driver for the digital revolution worldwide.

Hailed as one of the most disruptive technologies of the decade, the digital twin industry, which is anticipated to cross $50 billion by 2027 based onGlobal Market Insights Inc. reports, will likely be a major driver for the digital revolution worldwide.

Why is digital twin important for industrial IIOT?
工业4.0或第四次工业革命可视化一个依赖智能技术的高度联系的世界,所有这些世界都旨在使用新兴的IIOT(工业互联网)概念相互交流。为了使这个概念起作用,需要采用标准方法来了解关键组件的描述以及它们与智能机器中其他资产或组件的交互方式;即,数字双胞胎。尽管仍处于新生阶段,但这些精确的数字模型正在加快数字转型,不仅在工业领域,而且几乎到处都是。

COVID-19 has added further relevance to this technology over the past year, underpinning its importance in crucial tasks such as automated processing, remote monitoring, and predictive maintenance.

The potential benefits of the digital twin industry are vast, from reducing design and build times for machines, to optimizing performance throughout the operational life cycle to playing a prominent role in predictive maintenance, smart maintenance, and condition monitoring. Using digital replicas, engineers can merge product data with important application data to deliver comprehensive insights, and when combined with technologies like AI, forecast future performance with accuracy.

数字双技术的三种方式正在帮助工业自动化设计
多年来,工业界一直在目睹通过技术创新向进步的明显转变。关键行业的出现4.0启用器(例如无线连接,AI和自动化)有助于提取有价值的数据和实时性能见解。数字双技术可以帮助工程师在许多方面使用这些见解,并使他们能够改善整个工业层面的运营绩效。

Bridging gaps between physical and virtual environments
数字复制品可以通过创建全息图或物理模型的数字可视化来帮助企业,以弥合数字和物理环境之间的差距,尤其是与AR/VR(增强现实/虚拟现实),IoT和AI/ML结合使用。该技术促进了虚拟协作,传感器数据的摄入量,对各种情况的快速模拟,对情况的更好理解以及对结果的更精确的预测,这些预测可用于控制物理世界中的元素。数字双胞胎模拟和领先的行业4.0技术(如AI和5G)与新型空间平台的出现更加紧密相关,旨在使工程师更加沉浸式地访问其环境的虚拟复制品。
For instance, in April 2021, UK-based vehicle battery producer Hyperbat partnered with Ericsson, BT, and Nvidia to develop the first 5G, VR (virtual reality) digital twin solution in the world. The objective behind this move was to enhance the collaboration between the remote teams of Hyperbat in the UK, through an interactive virtual 3D engineering model, allowing the firms to accelerate the production process for electric and hybrid vehicles. The 5G VR digital twin technology, powered by technologies like CloudXR, NVIDIA RTX Virtual Workstation software, and NVIDIA RTX technology, can be used to facilitate real-time immersive experiences for teams, both remotely and on the production floor.

Undertaking timely predictive maintenance activities
Another way digital twins are able to transform the ways industries operate is by facilitating the implementation of predictive maintenance. With the emergence of virtual twins and IoT, businesses worldwide are shifting towards advanced predictive maintenance models designed to optimize the maintenance cycle and create a balance between preventative and corrective maintenance activities. essentially, digital replicas can convert real-world data pertaining to physical systems, inputs, or objects into simulations or predictions, to show the impact of these inputs on the physical system.

为此,西门子的能源在2021年11月招募了NVIDIA的Omniverse平台,以开发旨在支持发电厂的预测维护的数字双胞胎。NVIDIA开发的数字复制技术将帮助公司创建一个新的工作流程,以通过基于物理的实时蒸汽和水的实时模拟(热恢复蒸汽发生器)来减轻计划的关闭频率,同时确保最佳安全性。

Increasing operational efficiencies
The application scope of the digital twin market is growing rapidly in recent years. In smart city development, especially, digital twin technology is playing an increasingly crucial role in the more precise designing of buildings and infrastructure, in order to circumvent the need for costly modifications afterward. Additionally, digital replicas can help engineers decrease the cost of emergency response and integrate green building design options to facilitate energy savings in the long run.

在智能城市规划、数字双胞胎利用physical models, sensor data, and input data to replicate and simulate the performance of the structures over their corresponding physical twin’s lifecycle. For this reason, the technology is hailed by many city governments and urban planners as the ultimate tool for cost-friendly infrastructure designing and development.

根据大型数据集进行模拟的能力使数字双技术成为智能城市计划中的重要资产。Testament to this is the partnership of the researchers from the U.S. Department of Energy’s National Renewable Energy Laboratory and the Energy Department’s Oak Ridge National Laboratory with Chattanooga, on the use of digital replicas to enhance energy efficiency, whilst optimizing the speed, safety, and travel time for drivers.

With digital twins, businesses can reduce their maintenance expenses to a great extent. As a result of this new technology, the industry will benefit from enhanced revenues and a reduction of unwanted overheads that arise from problems with equipment and processes. Additionally, it streamlines and improves the production line in an organization and in turn improves customer service, which is the ultimate goal of any industry. Overall, it can be stated that the digital twin, a cutting-edge trend in technology, will play a vital role in industrial IoT application deployments.


Filed Under:IoT • IIoT • internet of things • Industry 4.0
Tagged With:GlobalMarketInsights

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