55314

Автор(ов): 

7

Параметры публикации
Тип публикации: 
Доклад
Название: 
Intensive data collection system for smart grid and smart building research
DOI: 
10.1109/SUMMA48161.2019.8947469
Наименование конференции: 
1st International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2019, Lipetsk)
Наименование источника: 
Proceedings of the 1st International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2019, Lipetsk)
Город: 
Липецк
Издательство: 
IEEE
Год издания: 
2019
Страницы: 
411-415
Аннотация
An integrated system for intensive collection of energy consumption and microclimate data for smart grid and climate control research is presented. The system is aimed at collecting datasets for intelligent control algorithms learning and assessment. Prospective applications (energy disaggregation, load forecasting, demand-side management, learning network structure from data, collaborative energy storage use) impose strong requirements on all its physical and logical layers: sensors, data collection, storage and processing, analysis and visualization. A combination of open-source IoT components and modern hardware has been chosen to provide a convenient and cost-efficient solution that consists of three main subsystems. The energy subsystem collects information about electric energy consumption, active and reactive power and many other parameters of the energy infrastructure in a building. The subsystem covers all groups of consumers in a building and supports per-second sampling rate. The climate subsystem collects information about temperature, light, and humidity in the selected rooms of the building. The sensing network is built on the LoRaWAN technology with autonomous battery-powered multi-sensors. The heating subsystem collects data from radiators and pipes to enable energy-efficient heat control. It is also based on the wireless LoRaWAN sensors. By implementing efficient data compression algorithms, the sensor network provides intensive sampling rate with acceptable lifetime of battery-powered sensors.
Библиографическая ссылка: 
Базенков Н.И., Болдышев Б.А., Душин С.В., Фролов С.А., Губко М.В., Корепанов В.О., Середа Л.А. Intensive data collection system for smart grid and smart building research / Proceedings of the 1st International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2019, Lipetsk). Липецк: IEEE, 2019. С. 411-415.