The construction and real estate industry is well under way on their digitalization journey but can create an even more sustainable sector with increased use of artificial intelligence (AI). Here are examples of five areas where SINTEF can contribute with effective AI-based solutions.
Design buildings faster and better using AI
When designing a building, many choices must be made. As the number of possible designs are almost endless, it is challenging to see which options will lead to good project economy and sustainability. And also, these choices affect how well the building will meet the needs of the end users. Artificial intelligence can help by finding solutions that meet key design criteria and where needed balance different conflicting needs to find the optimal trade-off among different possible solutions.
Reduce emissions and costs at construction sites
Construction sites can cover large areas of land, and many different machines can be involved in complex operations. Through GPS tracking, managers and planners can easily get information on how the machines move. With the help of artificial intelligence, SINTEF's researchers can use this data to make the machines run more optimally and reduce both emissions and time spent.
Construction managers can use drones and image analysis to measure progress in near real time and get predictions of how the work will proceed. Self-driving machines can increase efficiency and make new and more flexible solutions possible on the construction site. All of this combined can to a large extent make the construction site fully autonomous.
Efficient work and automatic deviation detection during construction
In the planning and construction phase, building information models (BIM) are used. These models contain both 3D representation and other relevant information about the building. By using these models information can flow fast and cost effective between different actors.
A BIM can contain data on many aspects of a building, and artificial intelligence can be used to improve planning, logistics and automatically find deviations from plans. Together with image analysis, good models can also provide opportunities for increased robotization and automation.
Using AI to consider renovation and reuse
Renovating a building rather than demolishing and building a new one significantly reduces greenhouse gas emissions. To make effective and correct decisions about a possible renovation, it is important to understand the condition of the building and the financial consequences of different choices. We use image analysis, data collection and modelling of the building mass to better document and evaluate or determine the condition of buildings and materials.
Give users good experiences and reduce operating costs
When the building is put in use, artificial intelligence can help improve the user experience and reduce operating costs associated with power consumption and maintenance.
A digital twin, which represent the expected use of the building can through artificial intelligence be used to control the heating. Based on fluctuations in energy prices, the most cost-efficient heating alternative can be selected. Furthermore, through condition monitoring and predictions cost related to maintenance can be kept as low as possible.