Digital Twin is one of the technological trends on the rise. It has been used in the IoT strategy of many companies. And no wonder: thanks to the use of this technology, some challenges for the development of the Internet of Things, such as device interactions or management and development of a product’s lifecycle, can be more easily overcome.
What is Digital Twin?
Simply put, Digital Twin is the virtual representation of a physical asset. One of its greatest benefits is to provide an abstraction layer that allows applications to interact with one or more devices in a consistent way.
This pairing of the virtual and physical worlds allows data analysis and systems monitoring to prevent problems before they occur, develop new opportunities, reduce downtime, and even plan for the future using simulations.
How does Digital Twin influence IoT’s strategy?
IoT has become a comprehensive term for smart and connected devices. Technology is giving these devices the ability to perceive changes in environments and take actions autonomously to achieve expected results by their users.
For decades, there have been devices with sensors and connectivity, but they have never reached the market potential they currently have.
IoT is slowly becoming a mainstream technology. Just two years ago, there were technical limitations in the processing power, storage, connectivity, and platform accessibility that impeded the growth of the use of these smart devices.
Now we see an almost perfect scenario: advances in cloud computing, big data storage, an abundance of fast internet access, machine learning and smart sensors come together.
But where does Digital Twin go into IoT strategy?
Mainly in the planning of intelligent solutions. Digital Twin enables simulation, analysis and control to test and explore scenarios in a virtual environment before initiating changes in the real world.
Historically, Digital Twin has been associated with more complex technological environments. But thanks to its impressive ability to eliminate problems and provide superior operational performance, it is becoming a must in IoT strategy. Check out some of the reasons for this:
1. Forecasting the future
To predict the condition of a device in the future, it is necessary to understand its behavior. Digital Twin provides a more detailed view of what conditions and events may influence a device to change, regress, or thrive.
2. Increased precision
Understanding behavioral patterns and leveraging advanced machine learning algorithms allows digital twins to be reproduced. This modeling enables operators to better understand how a device can work in a given scenario, thereby helping to redesign the IoT strategy for different customers, resulting in devices and services that are ideal for each type of client.
3. Circumvent failures
This may seem obvious, but companies really value the possibility of avoiding breakage or costly mistakes. Digital twins allow teams to explore numerous possibilities so that they can offer, with a higher level of confidence, a recommendation around the longevity or reliability of a device.
4. Costs reduction
Digital Twin technology is a powerful weapon to minimize costs as it helps to avoid errors and identifies the basic components necessary for a device success. This frees up the budget to be allocated to new IoT priorities.
5. Customer Value Aggregation
Digital Twin is especially important for B2B companies. Having the complete digital representation of a customer helps to know exactly what he needs and what makes him successful.
Thus, these companies can create additional services and improve the user experience with data acquired through IoT devices. It’s a smart way to convert data into action and valuable content.
These were just a few advantages of using Digital Twin in an IoT strategy. This technology allows companies to explore a wide range of possibilities of use of their smart applications, as well as anticipating risks and problems. With this, it is possible to guarantee much more precise and effective solutions.
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