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Автори: Маринов, М. Б., Ганев, Б. Т., Николов, Г. Т. Заглавие: БЕЗЖИЧНА СЕНЗОРНА СИСТЕМА ЗА ИНТЕЛИГЕНТНО УПРАВЛЕНИЕ НА ОСВЕТЛЕНИЕ В ИНДУСТРИАЛНИ СГРАДИ Ключови думи: energy saving, indoor localization, lighting control, RSS, Z Абстракт: The market for lighting controls in industrial buildings has changed and expanded significantly in recent years. In industrial environments with conventional lighting control,illumination is usually left on permanently, regardless of whether activities are performed or not in the area. This leads to unnecessary energy expenditure.In this work a more specific application related to energy-efficient lighting control in industrial buildings is considered. According to the proposed solution, illumination levels in the different building areas are controlled depending on the presence or absence of persons or vehicles in the corresponding areas. The research presented in this paper aims to evaluate the possibility for using relatively low-cost and easily expandable RF-based indoor localization techniques for lighting control in industrial environments. The implementation of the localization system utilizes the RSSI of a ZigBee-based sensor network and fingerprinting positioning algorithms. Библиография
Издание
Пълен текст на публикацията | Autors: Marinov, M. B., Ganev, B.T., N, G. T. Title: WIRELESS SENSOR NETWORK FOR INTELLIGENT LIGHTING CONTROL IN INDUSTRIAL BUILDINGS Keywords: energy saving, indoor localization, lighting control, RSS, ZigBee Abstract: The market for lighting controls in industrial buildings has changed and expanded significantly in recent years. In industrial environments with conventional lighting control,illumination is usually left on permanently, regardless of whether activities are performed or not in the area. This leads to unnecessary energy expenditure.In this work a more specific application related to energy-efficient lighting control in industrial buildings is considered. According to the proposed solution, illumination levels in the different building areas are controlled depending on the presence or absence of persons or vehicles in the corresponding areas. The research presented in this paper aims to evaluate the possibility for using relatively low-cost and easily expandable RF-based indoor localization techniques for lighting control in industrial environments. The implementation of the localization system utilizes the RSSI of a ZigBee-based sensor network and fingerprinting positioning algorithms. References
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