We have been talking a lot here on the EUGENIO blog about major trends in technology – in particular, about those that directly impact Internet of Things projects, as is the case with 5G,Wi-Fi 6and containers.
Now, it’s time to talk about Digital Twin. Well, this name that could very well be the title of a successful TV show is nothing more than the concept of creating a replica of what we want to test in a project.
Digital Twin works as a kind of mirror capable of creating a virtual representation of the project. Still not clear? Let’s think about the operation of a large retailer, which tests and launches several products throughout the year. Creating a Digital Twin of the physical operation of this organization, through data captured by sensors, allows us to understand (in real time) what happens in all processes. Thus, the company is able to anticipate unforeseen events on the production line and also reduce operating costs.
Gather information, analyze and respond in real time
In addition to retail, another application that shows how Digital Twin works well is the “smart building”. With this technology, it is possible to centralize operations – from the operation of elevators in buildings to control of security and energy consumption in real time, and project the virtual growth of these fronts.
Digital Twin also allows you to optimize the use of space through the virtual simulation of environments and increase operational efficiency – since it is possible to carry out predictive analysis of building maintenance diagnosis.
The idea of having a virtual replica is not new, but the practice is
The Digital Twin technology is only possible thanks to more efficient information exchange. Digital Transformation is already old talk between companies and was greatly accelerated by the pandemic (we talk more about it here in this post). We have followed the emergence of many IoT, Artificial Intelligence and Machine Learning projects in recent years. But most of them are in an isolated within organizations.
With the advances, today there are much more integrated projects, uniting all these technological fronts and, more importantly: unifying the collected data. The exchange of consistent information is essential to get a Digital Twin project up and running, after all, it must be a faithful virtual replica of reality to be effective.
Better safe than sorry
The deal about Digital Twin is its predictive bias. With Big Data, we were able to see how it is possible to predict scenarios and gain valuable insights with the analysis of information. Combining these two technologies allows for much more visibility into the data, as the virtualized copy focuses on simulating the real conditions of operations. Companies will have access to much smarter and more strategic resources to make decisions.
And then the sky’s the limit: we’ll monitor projects capable of optimizing operations, improving customer relationships, reducing operating costs, avoiding problems in production lines and even forecasting budgets for new projects. All this based on real virtualized data. Is your company ready for it?
