Skip to main content

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

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.

Project

KIQ

IMMS has developed an AI-based, retrofittable and cost-effective solution for quality assurance of machining tools.

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.”
All publications in the field of Smart distributed measurement and test systems

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.

Service for R&D

Development of embedded systems

We develop embedded systems for you as complete solutions consisting of sensors and actuators, signal processing and communications technology as well as open-loop and closed-loop controls.

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.

Lead application

RFID sensor technology

We are researching energy-efficient solutions for RFID sensor technology in order to open up new applications and, for example, to make processes in industry more resource-efficient.

[Translate to English:]

Service for R&D

Test and characterisation

We test, characterise and qualify your circuits, sensors and systems. Based on our excellent pool of measurement equipment, we develop an individually adapted test environment for measurements on wafers and individual components.