Decision-tree-based intelligent automatic streetlamp control system

Abstract

The invention discloses a decision-tree-based intelligent automatic streetlamp control system comprising streetlamps, node controllers, central controllers and a streetlamp control unit. The streetlamps, the node controllers, the central controllers and the streetlamp control unit are connected in order. A two-way link is arranged between each central controller and the streetlamp control unit. Each central controller is provided with a camera and a sensor. The streetlamp control unit comprises a self-learning module and a control strategy auto-decision module. The cameras and the sensors are used for acquiring environmental data of a streetlamp site. The central controllers feed the environmental data back to the streetlamp control unit. The self-learning module and the control strategy auto-decision module perform automatic configurations according to the environmental data. The streetlamp control unit automatically controls brightness or on-off of the streetlamps. The decision-tree-based intelligent automatic streetlamp control system allows damp utilization needs of passengers to be met according to actual conditions of a road section and saves electric energy.

Description

technical field [0001] The invention relates to an illumination control system, in particular to a street lamp control system. Background technique [0002] Street light switch and dimming control can effectively save electricity. Since many street lights were turned on all night in the past, there is no problem of when to switch lights and adjust the brightness of street lights. With the development of hardware and software technology, fine control and management of street lamps has become a reality, but the street lamp control of the existing street lamp control system needs to be planned in advance. Although the switch and brightness adjustment of street lamps no longer require manual intervention, but The strategy of street light control still needs to be planned and completed manually. [0003] The existing control method is generally to manually define the control time point and perform the operation of switching on and off the street lamp and adjusting the brightness...

AI Technical Summary

Problems solved by technology

[0005] The data transmission between the centralized controller and the node controller, and between the node controller and the street lamp is one-way, only the control signal can be transmitted, and the situation of the node cannot be collected

It is unreasonable to set the switching time period of the street lamp artificially, and it is impossible to dynamically adjust the brightness of the street lamp according to the brightness value of the actual environment. At the same time, more manpower is needed to maintain the street lamp control unit to ensure the stable operation of the system.

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