A New LED Light Device Lighting Control Algorithm for Optimal Energy Saving

Author(s):  
Chi-Goog In ◽  
Sung-Il Hong ◽  
Jeong-Uk Chang ◽  
Chi-Ho Lin
Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2032 ◽  
Author(s):  
Preethi Sambandam Raju ◽  
Murugan Mahalingam ◽  
Revathi Arumugam Rajendran

Nowadays, there is an increasing demand for energy saving techniques in residential, industrial, institutional, clinical and other multipurpose indoor and outdoor applications. Lights play an ubiquitous role around the Earth in all types of structures and outdoor surroundings. Hence, the authors propose a universal lighting control device—named Pervasive Adaptive Resourceful Smart Lighting and Alerting Device—accomplished mainly by the use of Arduino UNO R3. The Pervasive Adaptive Resourceful Smart Lighting and Alerting Device works in two modes, namely, light control and alert, by deploying the perceptive light automation and perceptive light automation with buzzer activation algorithms, respectively. The contributions of the paper are: a common lighting control solution for both incandescent and light emitting diode light bulbs for all indoor and outdoor environments. A profound power consumption analysis, and investigation of the proposed device by estimating the Energy Consumption Ratio (ECR) and Relative Energy Saving Ratio (RESR) through the real time deployment in diverse circumstances with 60 W incandescent, 8 W and 0.5 W LED light bulbs is executed. In addition to the evaluation of RESR and ECR characteristics the power consumption of light bulbs in terms of scalable conditions of number of light bulbs is also analyzed. The proposed model is proved to work efficiently for both incandescent and LED light bulbs.


2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.


Author(s):  
A.A. Ashryatov ◽  
V.G. Kulikov ◽  
A.V. Panteleyev

<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>


Author(s):  
Anca D. Galasiu ◽  
Guy R. Newsham ◽  
Cristian Suvagau ◽  
Daniel M. Sander

节能环保 ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 12-13
Author(s):  
Hualian Zheng ◽  

Intelligent lighting control system is the symbol of green lighting in modern society, and it is also one of the indispensable core technologies in modern lighting. Adding many control switches to the lighting circuit to control the whole lighting system, or controlling the dimming function of the lamp through the control gauge technology is the traditional lighting mode.


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