New AI assistant for the safe operation of compressed air systems
New AI assistant for the safe operation of compressed air systems
Publish Date: 2026-05-17 03:30:00
Source Domain: www.technology.org
AI language models are considered a key technology for industry, but they often face obstacles due to privacy concerns and their lack of expertise.
Real-time data analysis: The foundation for the AI-powered compressed air assistant for automatic leak detection and predictive maintenance.
Image credit: EEP / Rainer Bez
Researchers at the University of Stuttgart and research partners at WRS Energie + Druckluft GmbH have developed and successfully tested a fully locally operated AI system. This AI uses a digital twin to provide concrete operational recommendations for compressed air systems without hallucinating. The new on-premises system is more secure and faster than comparable cloud solutions.
Smart compressed air system: Bridging the gap between complex data and usability
“Those looking to implement artificial intelligence in industry often face a dilemma: Cloud solutions are scalable, but they pose a security risk to sensitive production data. We have now resolved this conflict with our new AI assistant,” says Christian Wolf, a researcher at the Institute for Energy Efficiency in Production at the University of Stuttgart (EEP). As part of the “AI4Air” research project, EEP and WRS Energie + Druckluft GmbH have jointly developed and successfully tested, at an early stage of development, an on-premise large language model (LLM) that bridges the gap between complex plant data and user-friendly operation.
The goal is to develop an intelligent compressed air system that can be used, for example, in robotics, automotive body construction, or the food industry. At its core is a proprietary AI that makes targeted use of relevant system information, enabling secure, high-performance, and application-specific interaction with compressed air systems through a direct connection to the plant’s digital twin.
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