DDT4I aims to validate frontier technologies in a real industrial environment with reference to artificial intelligence (AI) to model the performance of industrial processes and auxiliary plants recurring in foundries and energy-intensive mechanical industries, in order to improve their control while minimizing energy consumption (-25%). DDT4I will introduce a new method of data organization in the industrial context, based on semantic typing, which allows for quick classification and reprocessing of data (-30% time and resources), maximizing the benefits of data processing and modeling algorithms.
DDT4I will develop energy optimization algorithms for industrial processes using AI models developed to predict process performance. DDT4I will develop software modules that will incorporate the aforementioned technologies and will be integrated into an existing innovative software.
The generated benefits are numerous: it will be demonstrated that the aforementioned technologies allow for the reduction of energy consumption in industrial processes while maintaining the same level of production and that it is possible to build a business model that enhances the entire supply chain (Industry, ESCo, Startup); DDT4I will shorten software development times by 2 years, contribute to creating 30 jobs in 3 years, and reduce the environmental impact of the industrial sector equivalent to the annual energy consumption of 20,000 homes.
