Skip to main content

Project thurAI

In thurAI, IMMS is working on sensor technology for SmartCity and methods to intelligently process data in the network for AI evaluations.

In the thurAI project, Ilmenau TU, Jena FSU and IMMS are working on current solutions in the three areas of Smart City, healthcare and medical technology as well as production and quality assurance. IMMS and Ilmenau TU will implement a “LivingLab” in Ilmenau for the SmartCity topic together with the city. The core of this is data that is needed for a wide variety of AI-based services in the SmartCity context.

On the one hand, IMMS will select and test sensor technology for recording various parameters. To this end, it will further supplement and expand existing measurement platforms. Topics here are energy self-sufficiency, size optimisation as well as the creation of intelligent IoT systems with e.g. analysis functions integrated at the gateway and concepts for cooperative measurement tasks in which several sensor information can be combined.

The second focus of work is on the provision of so-called “smart data” through suitable pre-processing mechanisms at the sensor node itself or in the downstream network. The goal is to ensure that clean data is stored in the data platform, thus facilitating the application of AI algorithms.

Acronym / Name:

thurAI / Intelligent sensor and measurement systems to provide smart data for smart city services

Duration:2021 – 2024

Application:

Environmental monitoring and smart city applications|local authorities| environmental technology

Research field:Smart distributed measurement and test systems


Related content

All publicationsthurAI

Event,

Digitalisierung im Mittelstand 2023

Thementage Digitalisierung im Mittelstand 2023 | Teil 4: Sensorik/ Smarte Sensorsysteme

Messmodul für die Anbindung unterschiedlicher Sensoren an eine Umweltmonitoring-Plattform.

Event,

FGSN 2023

20. Fachgespräch Sensornetze (20th expert meeting on wireless sensor networks)

A man on a ladder screws a sensor to a lamp post in front of a house.

Press release,

Stadt Ilmenau setzt gemeinsam mit dem IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH) Smart-City-Projekte um

Entwicklungen aus den Projekten thurAI und StadtLärm zum Monitoring von Lampendefekten, Feinstaub und Lärm

Press release,

Ilmenauer Straßenlampen auf Sendung mit funkbasiertem Monitoring-System

Erster SmartCity-Testaufbau des IMMS im Projekt thurAI installiert


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.


Funding

The thurAI research project is funded by the German Land of Thüringen via the Thüringer Aufbaubank under the reference 2021 FGI 0008.


This might also be interesting for you

Lead application

Adaptive edge AI systems for industrial application

We are researching solutions for adaptive edge AI systems to make AI possible on low-consumption embedded systems in industry and to network them in real time.

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.

Lead application

IoT systems for cooperative environmental monitoring

We are researching energy-efficient solutions for IoT systems to open up new applications for cooperative environmental monitoring, such as in agriculture.

Back