Many new paradigms for digital transformation have been enabled by successful IoT deployments. These are concrete business outcomes that can be achieved in the industry. One of these rapidly growing trends is the "digital twin." Gartner listed the digital twin among the top 10 strategic tech trends for 2017-2018 and 2019. According to Gartner, digital twins will soon be used to represent billions of items in three to five years.
MarketsandMarkets estimates that the global market for the digital twin was 3.1 billion USD in 2020 and will reach 48.2 billion USD in 2026, at a 58% compound annual growth rate.
What is a digital twin?
A digital twin can be described as a virtual representation or a copy of a physical thing. One thing could be a plane engine, a car or a building, or even a bridge. These sensors collect data which is then mapped onto the virtual model. The digital twin allows people to view vital information about the physical thing in the real world.
Digital twins have become sophisticated thanks to the use of technologies such as Artificial Intelligence and Machine Learning, Deep Learning, Deep Learning, IoT and sensor, simulation, connectivity, and big data.
Digital twins have the following main characteristics:
Connectivity: A digital twin relies on connectivity. It allows for the connection between the physical and digital elements. Sensors enable physical products to connect with each other using different integration technologies.
Homogenization: Digital twins can both be the result and enablers for the homogenization of data. This allows information to be separated from its physical form.
Reprogrammable and smart: Digital twins enable programmability via sensors, artificial intelligence techniques, and predictive analysis.
Digital traces: Digital twin technology leaves digital traces. These digital traces can be used to identify the root cause of malfunctions or other problems.
Modularity: Modularity refers to the ability to design and customize products and production modules. Modularity is a feature that allows manufacturers to modify models and machines.
How does digital twin work?
Three main components make up a digital twin:
Past data: This includes data from machines and systems that have been used in the past.
Current data: This includes sensor data, outputs from manufacturing platforms, and systems across the distribution chain.
Future data: This is the data and insights that Machine Learning algorithms and engineers predict for the future.
The following operational steps are performed by the digital twin:
Step 1: Data collection & simulation
The data is then collected and simulated in a virtual copy. The information is stored either locally or in a cloud.
Step 2: Applying cognitive insight
Once the data has been received from the simulation, parameters can be applied to tangible assets and integrated into a precise virtual representation. To understand the data's variances and tolerances, the operation is performed. Machine-to-machine communication and natural language processing are some of the techniques used to understand the dynamic information being presented.
Step 3: Dynamic calibration
This information is used to dynamically calibrate the environment that affects the design, build, and operations phases of all devices. Integration of data in both real and virtual representations is key to optimizing tangible assets' performance.
How do you create a digital twin?
AWS IoT Core, Microsoft Azure IoT, and Microsoft Azure IoT will be the next-generation IoT platforms. They model the real world in the digital world. Azure Digital Twins, an IoT platform, helps to create a digital representation of real-world objects, business processes, places, and so on. It provides insights that can be used to improve products, reduce costs, and enhance customer experience. Azure IoT digital twin is executed in:
Open modeling language to create custom domain models in any connected environment using Digital Twins Definition Language.
It offers a live execution environment, which brings digital twins alive through a live graph representation.
It uses IoT for connecting assets, including IoT devices via Logic Apps and Azure IoT Hub.
It can output to Time Series Insights and analytics, as well as storage via event routes to downstream services such as Azure Synapse Analytics.
These are the three steps that go into creating a digital twin.
Design
Two main elements make up the design of a digital twin:
To allow the real-time transaction and operational information to flow, choose the technology that will enable you to connect the physical asset to its digital counterpart. It is important to know the exact type of device that is required. To create a 3D model of the asset, modeling software is required. It is also important to determine who will have access to the digital twin information and how they will control the physical asset.
Understanding the information needed throughout the asset's lifetime, including where it is stored, how to access it, and how to use it. The information should be structured in a way that allows for an easy and efficient exchange between systems.
Operation
Determine the purpose and function of the digital twin. It will perform asset monitoring, asset control, asset alteration, advanced analytics for predictive maintenance, and asset monitoring.
Are simulations possible? This question will help you determine the scope and functionality of the digital twin and the types of devices that are required to attach it to your asset.
Augmentation
Digital twins are usually implemented in small steps, such as the monitoring of a component of assets. However, they expand over time. Two ways are used to expand:
To give a complete view of an asset, organizations may bring many more digital twins.
Organizations can add new capabilities, such as simulations, to the digital twin.
Organizations want to add functionality to their digital twin to keep up with changing requirements. It is important to add these functionalities securely to the digital twin to increase its performance while still maintaining its functionality.
To read more - https://www.leewayhertz.com/digital-twin/
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