Research field Smart distributed measurement and test systems
Integrated sensor ICs represent the heart of sensor and measurement systems. These can be wireless sensors, handheld diagnostic devices or high-performance stationary device solutions for machine monitoring, for example.
Challenges of increasingly performant sensors
Increasingly performant sensors and their rapidly expanding number lead to immense amounts of data, which are ever more pushing previous technologies to their limits when it comes to transmitting, processing and using them. Therefore, it will be necessary to design systems for sensing, measuring and testing in such a way that they can validate, process and evaluate data automatically in the future. We intend to achieve this by directly incorporating intelligence into the devices. Interconnecting these systems creates the possibility of distributing the tasks in the network. However, new challenges arise in the form of dynamic aspects due to network protocols and changing tasks over time.
In this research field, we therefore focus on three questions
- How can sensor data be automatically processed into usable information as close as possible to the point of origin in a fast, cost-effective and energy-efficient way?
- What additional information can be obtained with the help of distributed sensor systems?
- How can such a system be modelled based on different subsystems in order to evaluate energy requirements, the optimal distribution of functionalities in the network and the influence of topology decisions?
Core topics in this research field
Core topic
Analysis of distributed IoT systems
For complex distributed IoT systems, we model components for system-wide analysis of energy consumption. We put intelligence into the network, enable tasks to be solved flexibly and autonomously, and make individual functions portable and robust.
Core topic
Embedded AI
The numerous existing AI algorithms and methods for high-performance computing are unsuitable for embedded systems. We are researching to optimise AI algorithms and methods so that they can be used on embedded systems.
Core topic
Real-time data processing and communications
New hardware is usually not supported by operating systems for real-time tasks. We are researching which operating system can be implemented in which way for which real-time application and the hardware required there.
Core topic
Modular and mobile test systems
Test capabilities are an integral part of all application developments. We research modular test systems that can be adapted flexibly and quickly to new challenges through optimised functional test units.
Contact
Contact
Dr.-Ing. Tino Hutschenreuther
Head of System Design
tino.hutschenreuther(at)imms.de+49 (0) 3677 874 93 40
Dr. Tino Hutschenreuther will answer your questions on our research in Smart distributed measurement and test systems and the related core topics Analysis of distributed IoT systems, Embedded AI and Real-time data processing and communications, on the lead applications Adaptive edge AI systems for industrial application and IoT systems for cooperative environmental monitoring as well as on the range of services for the development of embedded systems.
Related content
Project
InSignA: Pilot project 1
IMMS collects microclimatic data across a building complex on the campus of Technische Universität Ilmenau for energy consumption optimisations.
Project
Trib.US
IMMS develops real-time capable platform and algorithms for mobile multi-sensor inspection device for conveyor belt maintenance
Project
EdgeCam
In EdgeCam, IMMS provides the smart communications between cameras of a virtual safety zone for truck cranes.
Project
thurAI
In thurAI, IMMS is working on sensor technology for SmartCity and methods to intelligently process data in the network for AI evaluations.
Reference
Dr. Alexander Maier, Fraunhofer IOSB-INA
“We very much appreciate not only the sound, practical engineering knowledge of the IMMS staff concerning Industry 4.0-compatible protocols and systems but also the personal contact and the constructive manner of IMMS’ collaboration. And so we shall be delighted if we can tackle upcoming subjects together.”
Reference
Friedrich Becker, TURCK Electronics GmbH
“With its experience in the spheres of signal processing and integrating communications and systems for industry, IMMS contributed significantly to the execution of the science which the partners in Chemnitz and Offenburg derived from theoretical principles in cable diagnostics and communications interfaces.”
Reference
Dirk-Hendrik John, Software-Service John GmbH
“From our point of view, the design IMMS came up with for the architecture was in itself convincing. Further, we were impressed by its support in integrating our application with the MQTT standard. Both during the ongoing joint field test in Jena and during the entire project period, IMMS staff were always readily available with prompt support if questions or problems arose.”
Reference
Dr. Katja Nicolai, IL Metronic
“From my point of view, the numerous outcomes, many of them already validated by demonstrators, speak for themselves. These wireless solutions with their energy self-sufficiency are blazing the trail for quick, cheap and easy retrofitting. I envisage their use not only in manufacturing processes but in other areas such as transport and logistics.”
An IoT-based Sensor System to Capture Flower Bud Growth in Spring
Silvia Krug1. Tino Hutschenreuther1.19. GI/ITG KuVS Fachgespräch Sensornetze (FGSN 2022), pp. 37-40, DOI: doi.org/10.34702/mncp-qb18. 15. September 2022, Berlin, Germany
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 2Mid Sweden University Sundsvall, Sweden.Wissenstransfer im Forschungsprojekt EXPRESS
Valentin Knitsch1. Rikard Grass2. Hannes Mollenhauer2. Silvia Krug3. Tino Hutschereuther3. Juliane Welz1.B&B Agrar, Die Zeitschrift für Bildung und Beratung, 2/2022, S. 22–23, DOI: doi.org/10.24406/publica-189
1Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW, Leipzig, Germany. 2Helmholtz-Zentrum für Umweltforschung GmbH – UFZ, Leipzig, Germany. 3IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.Trade-off between Spectral Feature Extractors for Machine Health Prognostics on Microcontrollers
Umut Onus1. Sebastian Uziel1. Tino Hutschenreuther1. Silvia Krug1,2.2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2022, pp. 1-6, DOI: doi.org/10.1109/CIVEMSA53371.2022.9853642, 15 - 17 June 2022, Chemnitz, Germany
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany. 2Mid Sweden University, Sundsvall, Sweden.Energieautarkes NFC-Messsystem zum Auslesen von LFA-Teststreifen
Markus Ismer1. Alexander Rolapp1. Björn Bieske1.21. ITG/GMA Fachtagung Sensoren und Messsysteme 2022, 10.-11. Mai 2022, Nürnberg, Germany
1IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH, 98693 Ilmenau, Germany.
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