Image-recognition-type street lamp brightness prediction control and maintenance system

Abstract

The invention relates to an image-recognition-type street lamp brightness prediction control and maintenance system. The system comprises a binocular three-dimensional visual sensor, a motion analysis module, a CAN (controller area network) communication transfer bus, a street lamp electric cabinet main controller, an intelligent dimming ballast and an HID (high intensity discharge) street lamp, wherein the binocular three-dimensional visual sensor distributed installed according to intervisibility and the specific circumstance of a field angle acquires an image of the road conditions and transfers to the motion analysis module, the motion analysis module analyzes the image and then judges the road condition state and a movement direction and position information of an objective, and when the motion analysis module transfers the position and movement direction information of the objective to the street lamp electric cabinet main controller through CAN communication, the street lamp electric cabinet main controller judges whether the brightness of the HID street lamp needs to be turned up according to the information. The system provided by the invention enables the illuminating brightness of a plurality of HID street lamps in the moving direction of a personnel or a vehicle in advance, thus avoiding the defect that the parts below the lamps are dark.

Description

technical field [0001] The invention relates to the technical field of lighting, in particular to an image recognition type street lamp brightness prediction control and maintenance system. Background technique [0002] Street lamps play a very important role as the main part of urban lighting projects. Street lamps not only provide traffic safety lighting at night, but also are necessary facilities for maintaining law and order at night. The level of modernization of a city can be seen from the quality of street lamp facilities. Therefore, all parts of the world attach great importance to the construction of street lamp facilities. However, in strengthening urban lighting At the same time as the construction of the project, it has also caused a substantial increase in the electricity consumption of urban lighting, especially with the sharp rise in energy prices in recent years, the huge cost of street lighting electricity has become a major financial burden in various place...

AI Technical Summary

Problems solved by technology

Street lamps not only provide traffic safety lighting at night, but also are necessary facilities for maintaining law and order at night. The level of modernization of a city can be seen from the quality of street lamp facilities. Therefore, all parts of the world attach great importance to the construction of street lamp facilities. However, in strengthening urban lighting At the same time as the construction of the project, it has also caused a substantial increase in the electricity consumption of urban lighting, especially with the sharp rise in energy prices in recent years, the huge cost of street lighting electricity has become a major financial burden in various places. The problem of backward lighting control technology is becoming more and more prominent. Lighting power saving is listed as another major power saving item besides power saving, and street lamps will be damaged during use, requiring frequent patrols by power maintenance personnel to check for damage. The street lamps are repaired, which greatly consumes the time of the maintenance personnel

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