AI Factory for Construction Production

Digital transformation in community building is essential for the entire construction sector!

The construction process is information-intensive and characterised by "many to many" relationships in the exchange of data between the actors. Managing and processing information and turning into practical knowledge is a success factor for a construction project. Having the right knowledge and information at any given time provides the conditions for decision-making that increases predictability, reduces risks and thereby contributes to increased productivity and efficiency in the construction process, which consists of the production phase of the C ivil Engineering process. This project will focus on the production phase where information management is central to being able to make the right decisions at the right time and thus ensure efficiency in the process and quality of delivery. A construction site can be considered a temporary factory with a large amount of available resources to be used optimally to ensure delivery, and where a downtime can quickly result in large losses.

Limited utilization and insufficient integration of digital technology is one of the main challanges to the development and implementation of AI.

Therefore, the goal of the AIF/C is to: a) in Stage I, in detail, map and describe site management's need for data and information for fact-based decision-making; (b) in Stage II, develop and establish a common distributed cloud/edge-based platform for the development, verification and demonstration of AI models; (c) in Stage III, integrate relevant internal and external data sources into the project cloud environment, containing facts to facilitate site management's decision-making process; and d) in stage IV, develop and implement AI algorithms in the project's cloud environment, for data analysis and decision support to Site Management.
The ambition of the AIF/C project is to give the Swedish construction industry a head start when it comes to using AI.