scholarly journals Perspectives on Intelligent Road Lighting Control

2021 ◽  
Author(s):  
Sanaz Bozorg ◽  
John D. Bullough
Keyword(s):  
Lighting Control ◽  
Road Lighting

scholarly journals Economic Analysis of Improving the Energy Efficiency of Nanogrid Solar Road Lighting Using Adaptive Lighting Control

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 202623-202638
Author(s):  
Pathomthat Chiradeja ◽  
Suntiti Yoomak ◽  
Atthapol Ngaopitakkul
Keyword(s):  
Energy Efficiency ◽  
Economic Analysis ◽  
Lighting Control ◽  
Road Lighting

The Research of CAN Bus in the Car Intelligent Lighting Control System

2013 ◽  
Vol 765-767 ◽  
pp. 1908-1911
Author(s):  
Yi Wang ◽  
Li Ren He
Keyword(s):  
Control System ◽  
Can Bus ◽  
High Reliability ◽  
Automotive Control ◽  
Lighting Control ◽  
Intelligent Control System ◽  
Road Lighting ◽  
Lighting Conditions ◽  
Automotive Lighting ◽  
Photoelectric Sensor

As one of the most important subsystem of automotive control systems, the design of automotive lighting control system is essential. In this article, the automotive intelligent headlight control system based on CAN bus was introduced, and the system hardware structure and software design processes was given. Adopted MC9S08DZ60 microcontroller which integrated the CAN controller as the master chip. While taking advantage of the photoelectric sensor to analyze road lighting conditions, according to light changes in the external environment to achieve automatic dimmer. The circuit has characteristics of simple hardware design, high reliability and real-time. And provided a theoretical basis for the Hyundai Motor intelligent control system.

Intelligent Lighting System of Urban Road Based on Internet of Things

2018 ◽  
pp. 150-156 ◽  
Author(s):  
Lulu HAO ◽  
Jing GAO
Keyword(s):  
Internet Of Things ◽  
Lighting System ◽  
Communication Interface ◽  
Lighting Control ◽  
Urban Road ◽  
Road Lighting ◽  
Hardware System ◽  
Street Lamp ◽  
Control Terminal ◽  
Internet Of Things Technology

Aiming to solve the problems of energy waste, management confusion and poor flexibility in urban road lighting control system, an intelligent lighting system of urban road was designed based on the internet of things technology. The intelligent lighting system included hardware system composed of street lamp control terminal, main controller, software platform server, and software system composed of communication interface software, data processing software and operation management software. The lighting energy­saving control strategy and system characteristics were analyzed. The results show that the intelligent lighting system of urban road can realize the functions of remote street lamp switch, power regulation and timing operation, so as to meet the realistic demand of urban road intellectualized lighting control.

Advancement in Road Lighting

2018 ◽  
pp. 99-109 ◽  
Author(s):  
Sanaz Bozorg Chenani ◽  
Rami-Samuli Rasanen ◽  
Eino Tetri
Keyword(s):  
Energy Saving ◽  
Synergetic Effect ◽  
Traffic Density ◽  
Light Sources ◽  
Technological Transformation ◽  
Light Emitting ◽  
Lighting Control ◽  
Energy Saving Potential ◽  
Road Lighting ◽  
Improved Technology

Road lighting is on the verge of one of the most attentive changes since its first introduction. The synergetic effect of the advancement of road lighting technology and usage pattern is going to change the concept of road lighting. By most estimates, light emitting diodes (LEDs) are the most energy efficient light sources that can be used in road lighting. Today, the energy saving potential when replacing HPS lamps with LED luminaires is one-third with current technology and two-thirds with improved technology in the future. This technological transformation has the potential of energy saving up to 83 % in comparison with HPS lamps. The energy saving is achievable with changing the pattern of use by intelligent road lighting control based on reducing burning hours. Intelligent road lighting can be based on such parameters as traffic density, ambient light, road condition and weather circumstances. It can also be more dynamic and consider the combined effect of road lighting and individual car headlights. The widespread adaptation of these emerging technologies is envisioned to lead towards more sustainable lighting.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

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.

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