
Planning projects from plasterboard becomes faster with AI
The University of Wolverhampton has launched a Knowledge Transfer Partnership (KTP) aimed at accelerating the design and cost estimation of steel frame and plasterboard systems using AI. However, what does this project represent, and how will it influence the construction industry in the future?
The main source: Faster drywall planning with AI
The current situation
Knowledge Transfer Partnerships (KTPs) are a UK scheme that connects businesses with universities. Their main goal is to transform research into practical solutions. The KTP will examine how lightweight steel framing and plasterboard systems are designed and costed.
University experts, including Professor David Heesom and Dr. Nigel Moore will lead the project. It also marks something of a full-circle moment, as Tarinda Ratnapala. She leads the KTP on behalf of the company, was one of the department’s first KTP.
Professor Heesom said: “This is an exciting project that allows us to apply our research in artificial intelligence in a real business environment, delivering practical benefits. It also highlights the long-term impact of our graduates. Because the project on the company side is being managed by one of our former students.”
How planning with AI will influence the industry in the future?
The implementation of artifical intelligence in planning processes will have a significant impact on the construction industry. It will made planning faster and more cost-effective. According to the team, the use of manual methods can take several weeks; work that remains unpaid if the contract is not secured. The AI-powered digital tools being developed aim to reduce the required time to just a few hours, improve accuracy, and decrease wasted labor costs.
Fencyx, as one of the leaders of the wholesale UK building industry, supports this project. We hope that the implementation of AI will help make projects cheaper and faster. That`s in all must increase efficiency of projects processes.
Read also: Building materials factories should explain their price growth