In this article, I will explain the past, present and future of digital twins from ten perspectives
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1. What are digital twins? 2. How does digital twin work (Principle) 3. What problems does digital twin solve? 4. Where does digital twin come from? 5. At what stage do you need digital twinning? 6. Why digital twins? How to design? The benefits of digital twin 8. What are some cases? 9. What are the impacts on the industry? 10. In which industries can it be better used? (Illustrations and videos of industry-wide cases)
First of all,
I. What is number twinning?
A digital twin is a digital representation of a physical object, process, or service. Digital twins can be digital copies of objects in the physical world, such as jet engines or wind farms, or even larger objects like buildings or even entire cities.
An entire intelligent community created by Digital Twinnings: From EasyV Digital Twinnings Visualization
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In addition to physical assets, digital twinning can be used to replicate processes and gather data to predict their performance.
Essentially, ** digital twin is a computer program that uses real-world data to create simulations that can predict how a product or process will perform. These programs can integrate the Internet of Things, artificial intelligence and software analytics to improve output.
With advances in factors like machine learning and big data, these virtual models have become a staple of modern engineering to drive innovation and improve performance.
In short, create a strategic technology trend that reinforces costly failures of physical objects, and also by using advanced analysis, monitoring, and prediction capabilities, testing processes, and services.
How does digital twinning work? (principle)
Digital twins are born when applied mathematics or data science experts study the physical and operational data of physical objects or systems to develop mathematical models that simulate the original objects.
The developers who created the digital twins ensured that the virtual computer model could receive feedback from sensors that collected data from the real world. This allows the digital version to mimic and simulate what is happening in the original version in real time, creating opportunities for insight into performance and any potential issues.
Digital twinings can vary depending on how simple or complex the user needs them to be, with varying amounts of data determining how accurately a model can simulate a physical version of the real world.
Twins can be used with prototypes to provide feedback on the product during product development, or even as prototypes themselves to simulate what might happen when the physical version is built.
Three. What problems does it solve?
Because it can be used in a wide range of industries, from automobiles to healthcare and power generation, it has been used to solve a number of challenges. These include fatigue testing and corrosion resistance for offshore wind turbines and improving the efficiency of racing cars. Other applications include hospital modeling to determine workflow and staffing to discover procedural improvements.
Digital twinning allows users to research solutions for product life cycle extension, manufacturing and process improvement, and product development and prototyping. In this case, digital twinning can represent a problem virtually, so solutions can be designed and tested in programs rather than in the real world.
From the EasyV digital twin case
Four. Who invented it?
The concept of digital twinning was first introduced by David Gelernter in his 1991 book “Mirror Worlds”, and continues to be applied to manufacturing by Michael Greaves of the Florida Institute of Technology.
By the time Greaves formally introduced the digital twin concept at a society of Manufacturing Engineers conference in Troy, Mich., in 2002, he had moved to the University of Michigan.
However, it was NASA that first embraced the concept of digital twinning, and in a 2010 roadmap report, NASA’s John Vickers gave it a name. The idea was used to create digital simulations of the capsule and spacecraft for testing.
The concept of digital twinning spread further in 2017, when Gartner listed it as one of the top 10 strategic technology trends. Since then, the concept has been used in a growing number of industrial applications and processes.
Five. What phase should use number twin?
Digital twinning can be divided into three broad categories that show different times when the process can be used:
- Digital Twin Prototyping (DTP) – This is done before the physical product is created
- Digital Twin Instances (DTI) – completed after the product is manufactured so that different use scenarios can be tested
- Digital Twin Aggregation (DTA) – Gather DTI information to determine product functionality, operational predictions, and test operational parameters
These general types can be used for a variety of purposes, including logistics planning, product development and redesign, quality control/management, and systems planning.
Digital twinning can be used to save time and money whenever a product or process needs to be tested, whether in design, implementation, monitoring, or improvement.
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Six. Why design number twin? How to design?
As mentioned above, digital twins can be created for a variety of applications, such as testing prototypes or designs, evaluating how a product or process works under different conditions, and determining and monitoring the lifecycle.
The digital twin design was tested by collecting data and creating a computational model. This can include interfaces between digital models and actual physical objects to send and receive feedback and data in real time.
Most enterprises will choose to find professional digital twin enterprises to design digital twin projects, such as:
Hangzhou EasyV digital twin visualization, Ali Cloud DATAV visualization, Tencent Yunguang Qiyuan RAYdata….
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data
Digital twinning requires data about an object or process in order to create a virtual model that can represent the behavior or state of a real-world project or process. This data may be related to the life cycle of the product, including design specifications, manufacturing processes, or engineering information. It can also include production information, including equipment, materials, parts, methods, and quality control. Data can also be relevant to operations, such as real-time feedback, historical analysis, and maintenance records. Other data used in a digital twin design may include business data or obsolescence programs.
model
Once collected, the data can be used to create computational analysis models to show performance, predict states such as fatigue, and determine behavior. These models can dictate actions based on engineering simulation, physics, chemistry, statistics, machine learning, artificial intelligence, business logic, or goals. These models can be displayed through 3D representation and augmented reality modeling to help humans understand the results.
link
The discovery of digital twinning can be linked together to create an overview, for example by taking the discovery of device twinning and putting it into the production line twinning, which can then provide information for factory-scale digital twinning. By using linked digital twins in this way, smart industrial applications can be enabled for real-world operations development and improvement.
The benefits of number twinning
The benefits of digital twins vary depending on when and where they are used. For example, using digital twinning to monitor existing products, such as wind turbines or oil pipelines, could reduce maintenance burdens and save millions in associated costs. ** Digital twinning can also be used for pre-manufacturing prototyping, reducing product defects and shortening time to market. Other examples of digital twinning might include process improvement, whether monitoring staffing levels against output or aligning supply chains with manufacturing or maintenance requirements.
Common benefits include improved reliability and availability through monitoring and simulation to improve performance. They can also reduce the risk of accidents and unplanned outages through failures, reduce maintenance costs by predicting failures before they occur, and ensure that production targets are not affected by scheduled maintenance, repair, and replacement parts orders. Digital twinning can also provide continuous improvement by analyzing custom models and ensuring product quality through real-time performance testing.
However, for all its benefits, digital twinning is not suitable for every situation, as it adds complexity. Some business problems do not require digital twinning at all and can be solved without the associated investment in time and cost.
Eight. What are the cases?
Examples of digital twinning can be found throughout the industry and beyond for manufacturing, maintenance, and failure prevention/life cycle monitoring.
Applications range from telemetry sensors providing vehicle feedback to digital twin programs for automotive use, analog processes through digital twins to provide improved factories, and healthcare where sensors can notify digital twins to monitor and predict patient health
From the EasyV smart parking case
About digital twin related projects, case appreciation can move easy to know micro | digital twin world | EasyV visualization platform | data visualization
What are the effects of digital twinning on the industry?
Through the integration of technologies such as artificial intelligence, machine learning and software analysis with data, digital twinning creates an analog model that can be updated with or in place of physical counterparts. This enables companies to assess a fully computerized development cycle from design through deployment and even decommissioning.
By mimicking physical assets, frameworks, and operations to generate continuous data, digital twinning allows the industry to predict downtime, respond to changing environments, test design improvements, and more.
Digital twinning is key to the development of Industry 4.0, providing automation, data exchange and joint manufacturing processes and reducing product launch risks. Industry employees are able to monitor operations in real time, provide advance warning of possible failures, and allow real-time performance optimization and evaluation while minimizing lost productivity.
X. In which industries can it be better used?
Digital twins are used in a variety of industries, for a variety of applications and purposes. Some notable examples include:
production
Digital twinning can make manufacturing more efficient and simplified, while reducing production times.
The car
One example of the automotive industry’s use of digital twinning is the collection and analysis of operational data from vehicles to assess their status in real time and inform product improvements.
Data visualization from EasyV Intelligent Vehicle
retail
Beyond manufacturing and industry, digital twins are used in retail to model and enhance customer experiences, whether in shopping centers or individual stores.
From EasyV common templates to help retail data visualization
Health care
The medical sector has benefited from digital twinning in areas such as organ donation, surgical training and risk reduction. The system also models the flow of people through the hospital and tracks where infections may exist and who may be at risk from exposure.
Disaster management
Global climate change has affected the world in recent years, but digital twins can help solve the problem by creating smarter infrastructure, emergency response plans and climate change monitoring.
From EasyV water conservancy flood control case
Wisdom city
Digital twins can also be used to help cities become more economically, environmentally and socially sustainable. Virtual models can guide planning decisions and provide solutions to many of the complex challenges facing modern cities. For example, real-time information from digital twins can inform real-time responses to problems, enabling assets such as hospitals to respond to crises
From the EasyV smart city case