Prof. Dr.-Ing. Michael Freitag
Project
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KIMbA
Innovative IT platform for HVAC maintenance applications with AI-based Modbus register interpretation for manufacturer-independent remote access to equipment information
KIMbA develops a manufacturer-independent IT platform for the remote analysis and maintenance of heating, ventilation and air-conditioning (HVAC) systems. Operating data is acquired via Modbus and automatically interpreted using AI methods. Large Language Models extract register knowledge from technical documentation, while deep-learning models classify unknown registers based on time-series data. Building on this information, methods for anomaly and fault detection as well as wear prediction are developed.
Contact persons:
A. Ait Alla   (Project manager) M. Lütjen
Funded by:
BMWE
Duration:
01.06.2026 - 31.05.2028
See project's publications
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