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17.10.2024
IAMCool research project: predictive anomaly detection

IAMCool research project: predictive anomaly detection

“Cold chains are interrupted when technical errors occur, when doors are left open for too long or due to insufficient circulation and heating of the air caused by incorrectly stacked food. The result: food spoils. Melina Meyer, research assistant at RheinMain University of Applied Sciences, explains the aim of the research project: to prevent food waste in supermarkets by detecting cold chain interruptions at an early stage.

In the research project “IAMCool – AI-supported predictive anomaly detection for refrigeration systems”, researchers from the Department of Design, Informatics and Media at RheinMain University of Applied Sciences (HSRM) want to achieve optimized fault detection and identify the causes to improve the maintenance of refrigeration systems in supermarkets. The aim is to develop automation in cold chain monitoring. Data from sensors and other sources of the refrigeration systems are analyzed in order to carry out maintenance work proactively. The project aims to reduce downtime, increase the efficiency of maintenance processes and ensure optimal operation. In addition to the economic aspects, the project makes an important contribution to climate protection by proactively avoiding food waste.

The three-year research project is being funded by the German Federal Ministry of Education and Research and project partner Eckelmann with a high six-figure sum.

By installing alarm messages in the event of cold chain interruptions, the aim is to conserve resources in the long term, save energy and determine the ideal operating point for the refrigeration system. Eckelmann AG, a specialist in refrigeration and building control technology based in Wiesbaden, is on board as a sparring partner. It is not only sponsoring the “cool” research, but is also involved in know-how transfer in the refrigeration and building control technology sector.

Eckelmann offers holistic energy management and, with the Virtus LINE and E*LDS product ranges, all options for automated control, operation, networking and monitoring of refrigeration systems, cold rooms and refrigerated cabinets. With RheinMain University of Applied Sciences and Eckelmann, there is a transfer of the improved technologies to the local economy and the automation industry.

IAMCool is a key project in the “Smart Systems for People and Technology” (SSMT) research center at RheinMain University of Applied Sciences. It is headed by Professor Dr. Martin Gergeleit, Professor of Telecommunications and Computer Architectures, and Professor Dr. Dirk Krechel in collaboration with the “Learning and Visual Systems” (LAVIS) and “Internet of Smart Things” (IoST) working groups. “The successful collaboration with Eckelmann has been going on for two years. I see great potential in a close, long-term cooperation between the HSRM and Eckelmann AG,” reports Prof. Dr. Gergeleit.

The SSMT research center has been working on AI and automation processes for a long time, and Eckelmann AG has also provided the researchers with a very good data basis, says Prof. Dr. Gergeleit. The researchers’ exciting task now is to develop a standardized, intelligent assistance system for variable systems.

These excellent prerequisites could now be used, for example, to optimize predictive maintenance through research, which is also becoming increasingly important in many other industrial plants. With the help of data analysis and machine learning techniques, it is possible to predict potential problems and failures at an early stage by continuously monitoring the systems. This predictive maintenance strategy minimizes unplanned downtime, increases the efficiency of maintenance processes and therefore represents an innovative approach to improving the current state of the art.

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