EcoShopping - Energy efficient and cost competitive retrofitting solutions for Shopping buildings

In the »EcoShopping« project, research is being conducted into technologies and processes for increased energy efficiency and user comfort in commercial buildings. For this purpose, the level of occupancy and environmental parameters in a building are monitored by means of a sensor network and a mobile robot equipped with sensors. Acoustic data is used to determine the number of persons present in the building or to assist security services. Values such as temperature and air humidity serve to allow optimization of the current user comfort. On the basis of the different types of data collected, an intelligent automation unit controls the building management system with air conditioning, heating and ventilation. Regenerative energy generation, new insulating methods and energy-saving lighting systems are used in order to further reduce energy consumption. As part of the project, existing products and new technologies are being implemented and evaluated in a shopping mall in Budapest. The research results will be collated in the form of a catalog of measures for modernization of existing buildings.

Responsibilities of Fraunhofer IDMT

Fraunhofer IDMT's Oldenburg Branch for Hearing, Speech and Audio Technology HSA is responsible in the project for development and integration of a sensor network for acoustic monitoring. This includes determination of system requirements and definition of interfaces and metadata for connection to the intelligent automation unit. The Fraunhofer IDMT is also working on integration of a mobile robot platform in the implementation scenario.

 

An insight into our research / 9.12.2019

Understanding pumps

In the interview, Danilo Hollosi reports on how critical noises in industrial plants can be detected by condition monitoring systems.

The Project EcoShopping was funded by the European Union.

 

Machine listening for smart decisions

With us, you use the acoustic fingerprint of events to make intelligent decisions automatically - for your processes and products.