
Research on Green Control Algorithm of Street Lamp
Author(s) -
Jingwen Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/4/042005
Subject(s) - control (management) , energy consumption , smart lighting , architectural engineering , energy (signal processing) , power consumption , computer science , power (physics) , consumption (sociology) , order (exchange) , automotive engineering , real time computing , engineering , artificial intelligence , electrical engineering , business , mathematics , statistics , physics , quantum mechanics , social science , finance , sociology
As an important facility of community lighting, street lights can not only provide convenience for pedestrians or vehicles, but also improve the safety of the community. The power consumption of street lamp lighting is one of the important parts of shared power in the community. In order to solve this problem, firstly, we study the lighting control algorithm and establish the energy consumption formula; secondly, we analyse the energy consumption under different lighting control strategies; finally, we design a feasible intelligent green control algorithm. Theoretical analysis shows that intelligent green light control can effectively save energy and prolong the life of lamps and lanterns.