The project aims to tackle the challenges in the construction sector by using advanced AI and real-time analysis to identify and manage risks in construction planning and ensure sustainability and efficiency in construction projects. Delayed construction projects in Sweden have serious consequences, including financial losses, impact on the local community, legal and contractual problems and environmental impact. In addition to these challenges, there is an increased need in Sweden to build security-classified projects such as prisons and military installations. These projects are complex and require specific documentation and IT platforms, which making it crucial to include their requirements in the development of AI technology to achieve significant socioeconomic benefits.
The project is carried out over 12 months in collaboration between researchers from DTU and Chalmers, the project executor Yolean and construction companies that are currently customers of Yolean's planning software. The goal is to use AI to improve the entire design process by analyzing data from successful construction projects, which enables the identification and remediation of risks and inefficiencies.
The project is conducted as a research and demonstrator development project and aims to come close to commercialization in Yoean's existing software. The project has all competencies in place and has designated project and stakeholders where the project's prototypes can be tested and evaluated.
Granted in: Utlysning 12
Project manager: Dag Bergsö, Chalmers Tekniska Högskola