Building Information Modeling (BIM) in architecture is a digital process that creates and manages detailed 3D models of a building. It integrates data from various disciplines, facilitating collaboration and improving accuracy throughout the project lifecycle. BIM enhances design efficiency, reduces errors, and supports informed decision-making, making it a crucial tool in modern architectural practice.

The digital model encompasses not only the structure and architectural design but also the integrated systems and services, such as electricity, plumbing, HVAC, and others. The digital twin is based on real-time data and can be continuously updated as changes are made to the physical building.

Digital twins are used for various applications, including: Maintenance and Facility Management, Energy Optimization, Simulation and Analysis, and Enhancing User Experience. 

Computational Design

METHODOLOGY

The working methodology enables the establishment of clear protocols for conducting project development, ensuring transparent traceability and accounting procedures.

CONTROL PANEL

The dashboards display how data is automatically computed and quantified.

MONITORING/CONTROL

Thanks to reports and monitoring, we can ensure that data is accurately quantified, while also monitoring project metrics to meet KPIs. All of this is done quickly and visually.

CDE 

Common Data Environment (CDE) web platforms are centralized digital environments designed to store and share all information related to a construction project.

These platforms facilitate collaboration among team members, ensuring everyone has access to the most up-to-date information. By providing a single source of truth, CDE platforms enhance efficiency, improve accuracy in design and construction, and streamline project management. They play a crucial role in reducing errors, minimizing delays, and fostering better communication across all stakeholders involved in the project. 

DIGIN is a digital platform for the management of industrialised building components and elements. Due to the idiosyncrasy and tradition of the AEC sector, in the design and construction process mainly manufactured components are used, starting nowadays to incorporate industrialised systems in late stages of construction projects. In this context of industrial transformation in which the sector finds itself, the project is committed to digitalization as a means of transformation, accompanied by BIM methodology, to facilitate the incorporation of industrialised components from the earliest stages of design. This platform responds to the need to design information management tools for the elements, helping to implement data traceability from the design phases to the maintenance of the asset, thus improving cooperation of all the agents involved in the process.

BIMBOT is an intelligent design assistant for the AEC industry based on BIM software. It is supported by advanced artificial intelligence methods (soft computing optimization and machine learning) and NoSQL databases. A complete BIM project is obtained as a result of an iterative process: the user sets constraints and priorities by which BIMBOT creates different solutions refined from a catalogue of intelligent objects. Thus, users can create or edit BIM models being assisted by a set of configurable metrics that drive design quality according to their initial preferences.