Wireless Sensor Network for Building Management System on Energy Efficiency
Excellent Indoor Climate and High Performing Ventilation: Proceedings of "Roomvent & Ventilation 2018" 2018
Nikolajs Bogdanovs, Romualds Beļinskis, Andris Krūmiņš, Viktors Jeralovičs

The main goal of the paper is develop wireless sensor network test-bed that collects information from a set of sensors and forwards information to the remote server. The data on the server will be processed by the software created in Python. A new wireless sensor system will be announced in this work that will have autonomous power source. To organize wireless network, modern standards, such as IEEE 802.11n will be used. The article also describes the architecture of designing a wireless sensor network complex system, which has the connection in real time (online) with automatics and engineering systems of the building. This complex system helps to collect data for the effective intellectual analysis. This work presents the method of creating self-learning system, which is capable to inform about negative influence of different control algorithms using wireless sensor network.


Atslēgas vārdi
Weather prediction, Kalman filter, IEE802.11n, heating control, self-learning system

Bogdanovs, N., Beļinskis, R., Krūmiņš, A., Jeralovičs, V. Wireless Sensor Network for Building Management System on Energy Efficiency. No: Excellent Indoor Climate and High Performing Ventilation: Proceedings of "Roomvent & Ventilation 2018", Somija, Espoo, 2.-5. jūnijs, 2018. Helsinki: SIY Indoor Air Information Oy, 2018, 421.-426.lpp. e-ISBN 978-952-5236-48-4.

Publikācijas valoda
English (en)
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