The goal of this work is to develop a smart light-emitting diode lighting system for industrial and domestic use with several advantages over conventional systems, namely energy saving, high reliability, and visual comfort of interior lighting. This is achieved by integrating a smart control module and a fault diagnosis and prognosis module within a conventional lighting system. The first module controls the lighting level in an energy-efficient way, keeping a desired light level where it is needed while regulating it to a minimum where not required; this is achieved by fully exploiting fuzzy logic and proportional-integrative-derivative controllers. The second module performs fault diagnosis on the light-emitting diode system and predicts when light-emitting diode maintenance should be performed; this is achieved by employing both hardware redundancy and signal-based approaches. Interaction between the two modules permits maintenance of a desired level of light even in the case of failures on one or more light-emitting diodes. The overall system has been experimentally validated in three different scenarios. © 2015 Copyright © Taylor & Francis Group, LLC.

A smart lighting system for visual comfort and energy savings in industrial and domestic use / Cimini, Gionata; Freddi, Alessandro; Ippoliti, Gianluca; Monteriu', Andrea; Pirro, Matteo. - In: ELECTRIC POWER COMPONENTS AND SYSTEMS. - ISSN 1532-5008. - 43:15(2015), pp. 1696-1706. [10.1080/15325008.2015.1057777]

A smart lighting system for visual comfort and energy savings in industrial and domestic use

CIMINI, Gionata;Freddi, Alessandro
;
IPPOLITI, Gianluca;MONTERIU', Andrea;PIRRO, MATTEO
2015-01-01

Abstract

The goal of this work is to develop a smart light-emitting diode lighting system for industrial and domestic use with several advantages over conventional systems, namely energy saving, high reliability, and visual comfort of interior lighting. This is achieved by integrating a smart control module and a fault diagnosis and prognosis module within a conventional lighting system. The first module controls the lighting level in an energy-efficient way, keeping a desired light level where it is needed while regulating it to a minimum where not required; this is achieved by fully exploiting fuzzy logic and proportional-integrative-derivative controllers. The second module performs fault diagnosis on the light-emitting diode system and predicts when light-emitting diode maintenance should be performed; this is achieved by employing both hardware redundancy and signal-based approaches. Interaction between the two modules permits maintenance of a desired level of light even in the case of failures on one or more light-emitting diodes. The overall system has been experimentally validated in three different scenarios. © 2015 Copyright © Taylor & Francis Group, LLC.
2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/228737
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