Internet of Production (IoP)

Project Overview

The Internet of Production (IoP) Project, anchored at the RWTH Aachen Campus, represents a cutting-edge initiative that leverages granular data from industrial scenarios to fuel artificial intelligence-based applications across varying complexity levels. At the heart of the IoP lies the ambition to create seamless data-to-knowledge pipelines, integrating advanced concepts like Digital Shadows, artificial intelligence, and ontologies. This integration is key to our strategy, aimed at not only enhancing productivity but also ensuring more effective human integration within industrial contexts.

This project harnesses the rich, detailed data gathered from diverse industrial settings to power AI-driven solutions. These solutions are designed to navigate through layers of complexity, transforming raw data into actionable insights. The concept of Digital Shadows plays a pivotal role in this transformation, offering multi-perspective, aggregated datasets that mirror the physical world in a virtual space. By combining these with AI and ontological frameworks, the IoP creates a synergistic environment where data is not just collected, but also intelligently interpreted and utilized. This approach results in significant productivity gains and a more harmonious integration of human expertise and decision-making within the industrial workflow. The RWTH Aachen Campus, with its comprehensive infrastructure and interdisciplinary expertise, is the ideal setting for this innovative project, continuing its tradition of excellence in production technology and setting new standards in the integration of AI into industrial processes.

This project was funded my the Deutsche Forschungsgemeinschaft since 2019. It was a collaboration between several research insitutes from the RWTH Aachen University.

Andres Felipe Posada Moreno
Andres Felipe Posada Moreno
Postdoc Researcher in eXplainable Artificial Intelligence (XAI) and Foundation Models

My research interests include eXplainable Artificial Intelligence (XAI), Foundation Models, and applied AI.