Automated monitoring of industrial cleaning processes - DigiClean II

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 results and effects:

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. 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.