Skip to main content

Project S4ECoB

The embedded platform developed by IMMS processes acoustic signals and is part of a system that improves the energy-efficiency of public buildings.

Optimal control of building systems in major public places requires knowledge about the number and distribution of people within the building. The “S4ECoB” system being developed in the project uses a network of spatially-distributed microphones to pick up sounds in their vicinity. The system is capable of determining the number of people in parts of a building based on acoustic data and control building systems accordingly.

More specifically, eight microphones and their associated electronics for digitising and encoding signals form a microphone array. Up to three of these arrays can be connected to an energy-efficient embedded hardware and software platform. It will process audio data streams, classify acoustic events, and, from them, estimate the number of people in the rooms being monitored by the arrays. The computed data is transferred to a central unit, where it is processed further and building control is adapted to the current situation, thus minimising energy demands.

The system presented numerous challenges. To meet them, IMMS has developed novel solutions within the project, developing the embedded platform that processes the acoustic signals. This involved designing and building adequate hardware and implementing software components. The Institute has also designed and implemented the communications architecture between the components. The innovative architecture and the new methods adopted for the hardware and software implementation have proved to be the key to an embedded signal processing platform with low energy usage that offers not only very high performance but also the advantages of flexibility and low price.

Acronym / Name:

S4ECoB / Sounds for Energy Control of Buildings

Duration:2011 – 2015

Project website:S4ECoB

Application:

Environmental monitoring and smart city applications|Automation technology and Industry 4.0|Building automation

Research field:Smart distributed measurement and test systems


Related content

All publicationsS4ECoB

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

This project has received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement No 284628.


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

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.

Research field

Smart distributed measurement and test systems

Integrated sensor ICs are the heart of sensor and measurement systems like wireless sensors, stationary or handheld devices. We are researching solutions for ever more powerful sensors with more intrinsic intelligence and task allocation in the network.

Back