Intelligent Lighting Control System

Abstract

The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing.The publications within "Advances in Intelligent Systems and Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

Intelligent system for lighting control in smart cities

“…The expression ( 13 ) denotes p h as the extra power to supply each hour h ∈ H irs . In this way, the power to supply in each hour to all luminaires ( p th ) will be the minimum power ( 8 ) of each hour with more extra power calculated p h .…”

“…Given the current research presented, it is possible to observe that, at present, there is no system or architecture that remotely manages a lighting system, regardless of the particular system used, and allows for intelligent management, optimizing both consumption and its associated costs. This paper presents an adaptive architecture that allows the centralized control of numerous public lighting installations [13] . Specifically, it allows distributed and real-time intelligent control based on prediction and analysis techniques of lighting, one of the main shortcomings of the systems listed above.…”

Design, Implementation and Power Analysis of Pervasive Adaptive Resourceful Smart Lighting and Alerting Devices in Developing Countries Supporting Incandescent and LED Light Bulbs

“…This control technique was selected by single users. In centralized tuning or institutional tuning [21,22] a cluster of light bulbs is controlled by location or building- specific conditions. In image-based control the luminance was calculated by the image captured by a low cost camera [23], CMOS low resolution camera [24] or CCD camera [25].…”

“…A lighting automatic control system [36] made adjustments in lighting intensity, incorporating user illumination requirements based on their activities and achieved changes based on external lighting. An architecture [21], centralizing the control of lighting was merged with numerous artificial intelligence methods.…”