Wind power and wind direction detection method based on image processing technology

Abstract

The invention discloses a wind power and wind direction detection method based on an image processing technology, and the method comprises the steps: enabling one end of a vertical light ribbon to befixed in a to-be-detected space, and enabling the upper and lower end points of the vertical light ribbon to be provided with specific identifications; collecting videos of the light ribbons by usingcamera equipment right opposite to the light ribbon, and extracting frames to obtain a sampling image; processing the sampled image, inputting the processed image into a target detection model and carrying out model iterative training; acquiring a real-time image of the light ribbon, marking a vertical line segment, inputting the image into the trained target detection model, detecting and calculating vectors of upper and lower end points of the light ribbon in the image as indexes for evaluating the wind direction, and calculating included angles between the vectors of the upper and lower endpoints of the light ribbon and the vertical line segment as quantitative indexes for evaluating the wind power. The light ribbons are adopted, manual reading is not needed, videos of the light ribbons are obtained, and angle changes generated by the ribbons are recognized based on machine vision; specific identifiers are arranged at the upper and lower end points of the ribbon, so that the influence of a complex background on light ribbon angle detection is avoided.

Description

technical field [0001] The invention relates to the technical field of wind balance testing, in particular to a wind force and wind direction detection method based on image processing technology. Background technique [0002] At present, when carrying out wind balance tests in various scenes that require breeze detection, one is to use raw material ribbons, manually hold the ribbons into the scene or fix the ribbons on the partition, and read them manually The general wind direction and angle of the streamer, the other is to fix a scale parallel to the streamer with a plumb device and a scale marked on the side of the streamer through a bracket, and read the reading corresponding to the scale on the scale by manually reading the streamer Wind direction and angle. [0003] The above two methods have the following disadvantages: [0004] 1. Both methods require manual reading, and the data can only be read at a limited time point, and it takes a lot of manpower to read the ...

AI Technical Summary

Problems solved by technology

[0006] The invention proposes a wind force and wind direction detection method based on image processing technology, which solves the problems of manual reading error and low efficiency in the prior art

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