Dutch construction firm deploys 20k LORAWAN enabled smart IoT sensors
Dutch construction company Heijman has through its subsidiary Beyond Eyes deployed some 20,000 LORAWAN smart buildings IoT sensors for its customers.
The aim is to enhance the management of buildings by leveraging real-time insights regarding energy and water usage, light intensity, humidity levels, carbon emissions levels and noise levels whilst providing occupants with smart home functionalities.
Beyond Eyes partnered with IoT connectivity solution firm Actility and IoT senor company Clickey to implement its smart building concept across the Netherlands.
Clickey smart IoT sensors communicate data regarding a building’s occupation, usage and indoor environment via Actility’s LORWAN-based communications network. The communicated data is then sent to the Microsoft Azure IoT hub for processing.
The processed data can be used by facility managers to optimise a building’s management and maintenance. For instance, the system can be used to track the energy consumption of the building and where that energy is mainly used. The data could be useful in planning energy efficiency upgrades and reducing energy costs.
The aim is to enhance the management of buildings by leveraging real-time insights regarding energy and water usage, light intensity, humidity levels, carbon emissions levels and noise levels whilst providing occupants with smart home functionalities.
Beyond Eyes partnered with IoT connectivity solution firm Actility and IoT senor company Clickey to implement its smart building concept across the Netherlands.
Clickey smart IoT sensors communicate data regarding a building’s occupation, usage and indoor environment via Actility’s LORWAN-based communications network. The communicated data is then sent to the Microsoft Azure IoT hub for processing.
The processed data can be used by facility managers to optimise a building’s management and maintenance. For instance, the system can be used to track the energy consumption of the building and where that energy is mainly used. The data could be useful in planning energy efficiency upgrades and reducing energy costs.
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