Application of Intelligent Lighting Control System in Different Sports Events in Sports Venues

2018 ◽  
pp. 165-171 ◽  
Author(s):  
Peng DONG
Keyword(s):  
Control System ◽  
Computer Technology ◽  
Control Algorithm ◽  
Demand Analysis ◽  
Lighting System ◽  
Lighting Control ◽  
Sports Events ◽  
Modulation Model ◽  
Lighting Systems ◽  
Sports Venues

This paper analyzes the application of intelligent lighting control system in different sports events in sports venues, which is based on the perspective of computer technology. Firstly, this paper analyzes the characteristics of different sports events lighting system in stadiums, proposes a lighting demand analysis algorithm based on gray­scale modulation model, and designs a control algorithm based on neural network for intelligent lighting control system. Finally, the paper tests the designed algorithm and the results show that the intelligent lighting control system is effective. The application can play an important role in the optimization of lighting systems in different sports venues, with the value of further promotion in practice.

scholarly journals Design of tunnel illumination control system with solar energy

2018 ◽  
Vol 173 ◽  
pp. 02003
Author(s):  
Zhang Weijiang
Keyword(s):  
Control System ◽  
Solar Energy ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Lighting System ◽  
Energy Problem ◽  
Lighting Control ◽  
Remote Areas ◽  
Highway Tunnel

In order to solve the unmanned tunnel illumination in remote areas, control system is designed for tunnel lighting. Meanwhile, solar energy is used to solve the energy problem of tunnel lighting. Based on the specific requirements of the highway tunnel, the intelligent control algorithm is designed. On the basis of the algorithm, the intelligent control tunnel lighting system is realized. Control system for tunnel lighting is stable and reliable, unmanned operation can be realized. Practice shows that the intelligent tunnel lighting control system can be successfully applied in remote areas.

scholarly journals Activity Based Smart Lighting Control For Energy Efficient Building By Neural Network Model

2018 ◽  
Vol 43 ◽  
pp. 01017 ◽  
Author(s):  
Ivan Hidayat ◽  
Faridah ◽  
Sentagi Sesotya Utami
Keyword(s):  
Neural Network ◽  
Control System ◽  
Network Model ◽  
Neural Network Model ◽  
Control Algorithm ◽  
Qualitative Data ◽  
Lighting System ◽  
Lighting Control ◽  
Smart Control ◽  
Hidden Layer

The goal of this research is to attain a smart control algorithm that can be used in a lighting system based on the activities of a building's occupants, using the neutral network model method. The study case of this research is the activities inside the Asrama Mahasiswa Kinanti UGM building. Control algorithm was built based on qualitative data from the occupants of the building, which were more or less the daily activities of the occupants. The results of the qualitative data will be essential in choosing a sensor and its placement. Several scenarios of activities represented by the combination of sensors' outputs are used as the control system input. The optimum illumination of the lighting system for these scenarios was produced through simulation using DIALux. An artificial neural network model was then developed and used as the smart control algorithm. Input for the neural network is the combination of sensor output and illumination output for each scenarios, given the simulation results. Based on the qualitative data acquired through a survey of the occupants' activities, the design of the lighting control system requires a system that uses occupancy sensors, weight sensors, photoelectric sensors, and photo sensors. The various positions and activities being done by the occupants are represented by the sensors output. A manual remote will be used to adjust the sensors regarding details that cannot be specifically detected. Ongoing specific activities inside the inhabited room gives off a system output. This scenario portrays the lighting conditions of the room, which includes the number of lights that are turned on or turned off. A smart control algorithm was developed using the backpropagation neural network model with 10 neuron inputs, the first hidden layer with 20 neurons, second hidden layer with 20 neurons, whilst the output layer has 5 neurons. The activated function for the first hidden layer is tan-sigmoid, for the second hidden layer is log-sigmoid, and the output layer is using pure linear. The training function uses trainlm. The MSE system's value is 2.72 x 10-8 with a larger R total value, which is 0.99892.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

scholarly journals A Supervisory Control Strategy for Improving Energy Efficiency of Artificial Lighting Systems in Greenhouses

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 202
Author(s):  
Gianluca Serale ◽  
Luca Gnoli ◽  
Emanuele Giraudo ◽  
Enrico Fabrizio
Keyword(s):  
Control Strategy ◽  
Light Emitting Diode ◽  
Cost Savings ◽  
Energy Performance ◽  
Lighting System ◽  
Light Emitting ◽  
Artificial Lighting ◽  
Lighting Control ◽  
Lighting Systems ◽  
Power Densities

Artificial lighting systems are used in commercial greenhouses to ensure year-round yields. Current Light Emitting Diode (LED) technologies improved the system efficiency. Nevertheless, having artificial lighting systems extended for hectares with power densities over 50W/m2 causes energy and power demand of greenhouses to be really significant. The present paper introduces an innovative supervisory and predictive control strategy to optimize the energy performance of the artificial lights of greenhouses. The controller has been implemented in a multi-span plastic greenhouse located in North Italy. The proposed control strategy has been tested on a greenhouse of 1 hectare with a lighting system with a nominal power density of 50 Wm−2 requiring an overall power supply of 1 MW for a period of 80 days. The results have been compared with the data coming from another greenhouse of 1 hectare in the same conditions implementing a state-of-the-art strategy for artificial lighting control. Results outlines that potential 19.4% cost savings are achievable. Moreover, the algorithm can be used to transform the greenhouse in a viable source of energy flexibility for grid reliability.

Design of Airfield Lighting Monitor and Control System Based on Hybrid Network

2011 ◽  
Vol 467-469 ◽  
pp. 331-334
Author(s):  
Chang You Wang ◽  
Xiao Feng Yao
Keyword(s):  
Control System ◽  
Light Level ◽  
Configuration Software ◽  
Hybrid Network ◽  
Lighting System ◽  
Visual Aids ◽  
Lighting Control ◽  
Overall Design ◽  
Low Visibility ◽  
And Control

Airfield lighting system is necessary visual aids to ensure the normal movements of aircraft at night or under low visibility conditions. A hybrid network monitoring system based on CAN bus and Ethernet was introduced in the paper according to the actuality of national airfield lighting control system. The AC chop voltage regulating technology was adopted to adjust light level in the Dimmer what is the core of the system, configuration software, hybrid network technology were used to realize the remote monitoring, overall design scheme, the choice of hardware and software platform, and the realization method of network communication were gave out in the paper. Experimental results show that system performance is superior, and be worth promoting.

Application of Electrical Lighting Energy-saving Design in Intelligent Lighting Control System

节能环保 ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 12-13
Author(s):  
Hualian Zheng ◽  
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Modern Society ◽  
Lighting System ◽  
Lighting Control ◽  
Lighting Energy

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.

Home intelligent lighting control system based on wireless sensor

2020 ◽  
Vol 18 (5) ◽  
pp. 1231-1240
Author(s):  
Lianyu Wang
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Control Algorithm ◽  
Wireless Sensor ◽  
Light Control ◽  
Content Type ◽  
Lighting Control ◽  
System Requirements ◽  
Further Development

Purpose Intelligent lighting control system can control lights to go off when people leave, which has been widely concerned by researchers. Design/methodology/approach In this study, an intelligent lighting control system based on wireless sensor network was designed. First, the hardware and software designs of the system were described briefly. Then, the lighting control algorithm was analyzed emphatically. Considering the illumination and uniformity of light, an intelligent lighting control algorithm based on gradient descent was designed. Findings In the system test, it was found that the system had a good through-wall communication function, and the communication distance could fully meet the system requirements and run normally. In the test of the lighting control algorithm, it was found that the user’s satisfaction on uniformity in different scenarios was close to 1, and the satisfaction on illumination could also meet the user’s needs, which verified the reliability of the lighting control algorithm. Originality/value This study provides some theoretical supports for the better application of wireless sensor network in intelligent light control system, which is conducive to the further development of light control system.

The Design of LED Intelligent Lighting Control System Based on CAN Bus

2013 ◽  
Vol 753-755 ◽  
pp. 2637-2640
Author(s):  
Bang Cheng Zhang ◽  
Hua Zhen Wang ◽  
Yan Qing Jiang ◽  
Yan Juan Hu
Keyword(s):  
Control System ◽  
Can Bus ◽  
Light Emitting Diode ◽  
Railway Vehicle ◽  
Lighting System ◽  
Light Emitting ◽  
Led Light ◽  
Lighting Control ◽  
Vibration Resistance ◽  
Very High

In order to meet the requirements of high stability, high vibration resistance, energy saving and environmental protection and long service life for the railway vehicle car lighting system, this paper designed a LED (Light Emitting Diode) lighting control system suitable for railway vehicles car. Using IPC for the principal computer, microcontroller for the subordinate computer, CAN bus as the communication network. Multiple brightness sensor collect the brightness information of car environment. According to the characteristics that the LED is suitable for high frequency switch power, using PWM technology, the current though the LED light can be control. ATmega16 microcontroller as the control core can automatically to adjust the brightness of the car according to the change of external environment, it ensured that the LED light emitting uniform and stable so that this kind of control system has very high application value.

The Dividing Area Control of Lighting System

2013 ◽  
Vol 330 ◽  
pp. 587-591
Author(s):  
Qing Wei ◽  
Hong Yan Ma
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Lighting Design ◽  
Lighting System ◽  
Artificial Lighting ◽  
Lighting Control ◽  
Energy Issues

The lighting system is an integral part of the whole building. Lighting control system is an important part of the lighting system and lighting design. As increasingly severe of the energy issues, energy saving has become one of the problems to be solved in the lighting control system. This paper takes a normally used office as an example. Control the blinds and the lamps in the office reasonably. On the premise of the full use of daylight, make the office achieve the most comfortable illumination by using artificial lighting supplies.

Research of Communication Method of Intelligent Building Lighting System Based on CAN Bus

2014 ◽  
Vol 511-512 ◽  
pp. 1225-1229
Author(s):  
Shan Hu ◽  
Li Guo Tian ◽  
Xiao Liang Cheng ◽  
Meng Li
Keyword(s):  
Control System ◽  
Real Time ◽  
Can Bus ◽  
Lighting System ◽  
Intelligent Building ◽  
Lighting Control ◽  
Overall Design ◽  
Low Degree ◽  
Communication Method ◽  
Poor Management

This paper proposes an intelligent lighting control system based on CAN. Compared with the traditional lighting control system, it overcomes the effect of relatively scattered control and disadvantages of poor management, poor real-time and low degree of automation. In explaining the overall design of intelligent lighting system framework and communication protocols based on CAN bus communication, it analyzes the real time capability and puts forward the optimization scheme. It also proposes an implementation of SJA1000 CAN communication modules to achieve application to intelligent lighting system.

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