Smart Street Lamp System using LoRaWAN and Artificial Intelligence PART I

Author(s):  
Natthaporn Saokaew ◽  
Nuttapol Kitsatit ◽  
Thanadol Yongkunawut ◽  
Piyasawat Navaratana Na Ayudhya ◽  
Ekkachai Mujjalinvimut ◽  
...  
2013 ◽  
pp. 289-291
Author(s):  
Shinn-Fwu Wang ◽  
Bo-Shun Huang ◽  
Shyh-Rong Lay ◽  
Yi Chu ◽  
Yu-Pin Liao ◽  
...  
Keyword(s):  

Author(s):  
M. Ying ◽  
S. M. L. Nai ◽  
P. Shi ◽  
J. Wei ◽  
C. K. Cheng ◽  
...  

Light-emitting diode (LED) street lamp has gained its acceptance rapidly in the lighting system as one of choices for low power consumption, high reliability, dimmability, high operation hours, and good color rendering applications. However, as the LED chip temperature strongly affects the optical extraction and the reliability of the LED lamps, LED street lamp performance is heavily relied on a successful thermal management, especially when applications require LED street lamp to operate at high power and hash environment to obtain the desired brightness. As such, a well-designed thermal management, which can lower the LED chip operation temperature, becomes one of the necessities when developing LED street lamp system. The current study developed an effective heat dissipation method for the high power LED street lamp with the consideration of design for manufacturability. Different manufacturable structure designs were proposed for the high power street lamp. The thermal contact conductance between aluminum interfaces was measured in order to provide the system assembly guidelines. The module level thermal performance was also investigated with thermocouples. In addition, finite element (FE) models were established for the temperature simulation of both the module and lamp system. The coefficient of natural convection of the heat sink surface was determined by the correlation of the measurement and simulation results. The system level FE model was employed to optimize and verify the heat dissipation concepts numerically. An optimized structure design and prototype has shown that the high power LED street lamp system can meet the thermal performance requirements.


2011 ◽  
Vol 94-96 ◽  
pp. 631-636 ◽  
Author(s):  
Ji Ming Yu ◽  
Feng Wu ◽  
Xiao Yong Yan

Abstract. this paper proposes an energy saving algorithm based on wireless network in the intelligent street lamp system, which can real-time intelligent detect conditions illumination, person’s position and other infomation, street lamps builds a WSN network and collaborative adjustment its illuminations according to the information collected by its sensor device,compared with the current lighting system, the system more benefit in energy saveing, extending the lamp life, reduce light pollution on the environment. For energy conservation and environmental protection construction, intelligent street lamp system play an important role.


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