Automated monitoring of industrial cleaning processes - DigiClean II
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB - RISE |
| Funding from Vinnova | SEK 3 646 682 |
| Project duration | November 2023 - April 2026 |
| Status | Ongoing |
| Venture | Strategic innovation programme for process industrial IT and automation – PiiA |
| Call | Processindustriell IT and Automation (PiiA) - Våren 2023 |
Purpose and goal
DigiClean II aims to automate industrial cleaning monitoring for technical products, enhancing sustainability by saving energy, water, and chemicals, improving process efficiency, and ensuring environmental compliance through data-driven decision-making and predictive maintenance.
Expected effects and result
DigiClean II will lead to reduced resource use, enhanced process efficiency, and lower environmental impact. In the long term, it will impact industry-wide standards for sustainable cleaning practices.
Planned approach and implementation
DigiClean II utilizes real-time data analysis, predictive AI models, and cloud technology to automate and optimize industrial cleaning, for eco-friendly operations and traceability. The approach includes three main work packages focusing on environmental impact assessment, technology adaptation for field tests, extensive data collection, and model validation.