KInaStra develops AI processes for the real-time control of asphalt construction sites according to sustainability criteria in order to measure and optimize CO2 emissions in the construction process without negative effects on quality, costs and time. The solution lies in analyzing sensor-based process data using machine learning methods in order to incorporate recommendations for more sustainable construction into ongoing construction processes using learned correlations and current data (from mixing plants, trucks, construction equipment, etc.). The data is transferred to a digital sustainability reporting system in order to conclusively and reliably verify the reduction in emissions. KInaStra brings together R&D expertise in AI/machine learning, digital construction process control, road construction and asphalt production and evaluates the solutions under industrial management in real practical scenarios on construction sites. The technological innovations are utilised as AI-enhanced software products and data-based construction services.
