{"id":53029,"date":"2025-04-08T09:58:56","date_gmt":"2025-04-08T09:58:56","guid":{"rendered":"https:\/\/www.bravent.net\/?p=53029"},"modified":"2025-04-14T08:00:16","modified_gmt":"2025-04-14T08:00:16","slug":"digital-twin-in-infrastructure-the-management-and-maintenance-revolution","status":"publish","type":"post","link":"https:\/\/www.bravent.net\/en\/news\/digital-twin-in-infrastructure-the-management-and-maintenance-revolution","title":{"rendered":"Digital Twin in infrastructure: The management and maintenance revolution"},"content":{"rendered":"

The digital twin is a virtual replica of a real asset, infrastructure or system that, through the integration of real-time data and advanced technologies such as the Internet of Things (IoT), artificial intelligence<\/a> and predictive analytics, makes it possible to simulate, analyze and predict its behavior.<\/p>\n

In the field of infrastructure, this technology is transforming the planning, construction, operation and maintenance of critical assets, enabling more informed decisions to be made, resources to be optimized and safety to be improved.<\/p>\n<\/div>

Bravent’s different participations in university activities and challenges with students promote quality education, where students not only acquire theoretical knowledge, but also have the opportunity to interact directly with state-of-the-art innovations, based on advanced technology such as generative AI, spatial computing or big data<\/strong>, getting involved in different programs and activities designed to facilitate their incorporation into the labor market.<\/p>\n<\/div>[vc_empty_space]<\/div><\/div><\/div><\/section>

Creating a digital twin<\/h2>\n

The development of a digital twin begins with the construction of a three-dimensional (3D) model of the asset or infrastructure in question. To do this, technologies such as LiDAR laser scanning and drones are used to generate detailed point clouds of the physical environment. This data is combined with additional information, such as architectural plans, field sensors and historical operating data, to form the digital model.<\/p>\n

Depending on the use case, sometimes a two-dimensional (2D) model may be sufficient, especially when looking to analyze distribution and layout information without the need for complex volumetric simulations.<\/p>\n

Once the digital model is established, real-time data from sensors installed in the infrastructure, such as cameras, weather stations, environmental monitoring devices and traffic control systems, are integrated. This interconnection allows the digital twin to faithfully reflect the current conditions of the physical environment and facilitate the simulation of various situations.<\/p>\n

We can also create 2d models that depending on the use case may be sufficient.<\/p>\n

With the digital environment we can see the position of the sensors on the highway, information points, exits, etc… it is very important to keep these environments updated, to update the models periodically, that is why we use systems that we have inside the vehicles that give us information.<\/p>\n<\/div>[vc_empty_space][vc_single_image image=”53032″ img_size=”full” alignment=”center”][vc_empty_space]<\/div><\/div><\/div><\/section>

Digital twin applications in infrastructure<\/h2>\n