New IoT technology based on induction for care homes

The project is testing a new type of IoT sensor technology. Today, the individual IoT sensor must be connected to power or contain batteries. New technology based on induction, makes it possible to set up a system with induction cable, to which IoT sensors can be clicked in.

In addition, a control strategy is developed to save electricity consumption in care homes, where the above-mentioned new induction technology is used together with knowledge about the residents' diversity.

Project description

This project deals with testing and implementation of a new concept for IoT sensor technology. Today, the individual IoT sensor must be connected to electricity or contain batteries. In larger buildings, it can be challenging to connect new IoT sensors to electricity. The battery-powered IoT sensors are easy to install, but difficult to service, as they need frequent battery changes.

The new concept is based on induction, where IoT sensors can be clicked into an induction cable without damaging the insulation. The system is flexible, as new sensors easily can be mounted, replaced, or moved.

The new concept of induction-based IoT sensors is tested in a care home and used as an input to a climate control system, which is developed in this project in order to mix intelligent control of natural ventilation and mechanical ventilation. Care homes have been chosen as a demonstration case of the technology, on request the from the municipalities, and due to expected large energy savings as the residents are different, and thus demand-driven regulation normally provide large energy savings.

Based on qualitative mapping and with input from health professionals, anthropologists will classify the residents based on various characteristics - for example physical ability, cognitive abilities, illness, self-help, activity level, social skills, interests, smoking habits, etc.

The anthropologist’s classification of persons in health groups will be used to select the location of sensors, setpoints for ventilation and its regulation, climate optima, standby functions, light placement, solar shading, etc.

Key figures

Period:
2021 - 2023
Funding year:
2021
Own financial contribution:
2.07 mio. DKK
Grant:
1.47 mio. DKK
Funding rate:
41 %
Project budget:
3.54 mio. DKK

Category

Programme
ELFORSK
Technology
Energy efficiency
Project type
Udvikling
Case no.
353-029

Participants

Teknologisk Institut (Main Responsible)
Partners and economy
Partner Subsidy Auto financing
EXHAUSTO A/S
WINDOWMASTER A/S
Høje Taastrup Kommune

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