AI-PRO: Enhancing Processing Industry Efficiency and Insights with AI and Smart Sensors

Purpose and goal

The purpose of this project is to explore how the use of machine learning, automation, new sensor technologies, together with real-time and off-line sample analysis, can drive towards more efficient and sustainable production systems across several industries. The aim is to develop and validate new AI methods for process optimization, enhancing sustainability, efficiency, and product quality across multiple industries.

Expected effects and result

The expected outcomes of the project are that through integration of new sensors and advanced AI-technologies, the industry can shift from reactive quality control to proactive process optimization, resulting in more sustainable and resilient production processes, with energy savings, less waste, and improved product quality.

Planned approach and implementation

Manufacturing processes at Oatly, Orkla, Lantmännen, and Höganäs will be scrutinized, and data collection procedures will be established. Sensor suppliers Incipientus and RHI Magnesita will install unique sensors. RISE as research provider will develop AI methodology and coordinate the activities. Data will be collected at the industries and used to train the AI models and establish raw material-process-outcome relationships. The developed methodologies will be demonstrated at each manufacturer.