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Wind power cabin round surface oil level monitoring method based on computer vision

A computer vision and wind turbine cabin technology, applied in the field of image processing, can solve the problems of complex monitoring and processing process of pointer circular meters, high detection cost, and inability to detect single needle circular meters, etc., to shorten the inspection cycle and labor costs , improve the accuracy, and solve the problem of low pointer positioning accuracy

Pending Publication Date: 2022-05-03
成都昱风能源有限公司
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a computer vision-based method for monitoring the oil level of the wind turbine cabin round meter to solve the problem of the traditional single-needle round meter detection method proposed in the above-mentioned background technology. The abnormal monitoring and processing process of the meter is relatively complicated. At the same time, the manual inspection cannot detect the single-needle round meter in real time, and the detection cost is high.

Method used

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  • Wind power cabin round surface oil level monitoring method based on computer vision
  • Wind power cabin round surface oil level monitoring method based on computer vision
  • Wind power cabin round surface oil level monitoring method based on computer vision

Examples

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Embodiment 1

[0030] Such as figure 1 As shown, a computer vision-based method for monitoring the oil level of the round meter of the wind turbine cabin includes the following steps:

[0031] S1: Collect the recorded image of the round dial monitoring point of the single-needle round meter under normal conditions, and create a normal area vector;

[0032] S2: Obtain an image of a detection point as an image to be discriminated;

[0033] S3: Use the round dial detection module to detect the image to be discriminated. If the round dial is not detected, an error message will be given and the current detection image will be uploaded for manual review. If the round dial is detected and its confidence meets the set value, Then locate and intercept the circular dial image;

[0034] S4: Use the dial pointer detection module to detect the pointer on the round dial image intercepted in step S3. If the pointer target is not detected, an error message will be given and the current detection image wil...

Embodiment 2

[0040]On the basis of embodiment 1, in the step S1, the normal area vector is after the recorded image is detected by the circular dial detection module, and the detected circular dial is marked with a circular dial target frame and standardized, and then manually Mark the start and end points of the round dial in the target frame area of ​​the round dial after normalization, that is, the start and end points of the normal area, and finally take the center of the target frame as the origin p0(x 0 ,y 0 ), the starting point of the target frame p1(x 1 ,y 1 ) and end point p2(x 2 ,y 2 ) to calculate two vectors for the end point respectively and And draw.

[0041] In the step S5, the vertex coordinate values ​​of the circular dial image are the four vertex coordinate values ​​of the circular dial target frame calculated according to the position and size data of the pointer area.

[0042] In the step S7, the position of the pointer head is the coordinate point p of the p...

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Abstract

The invention discloses a wind power cabin round meter oil level monitoring method based on computer vision, and relates to the technical field of image processing, and the method comprises the following steps: collecting a point recording image of a round meter plate monitoring point under a normal condition, and creating a normal region vector; acquiring an image of a monitoring point as an image to be discriminated; the to-be-discriminated image is detected and positioned through a round dial plate detection module, and a round dial plate image is intercepted; performing pointer detection on the intercepted round dial plate image through a dial plate pointer detection module; according to the detected pointer area data, taking a vertex coordinate closest to the center of the circular dial image as a pointer head; obtaining a normal region of the binary image according to the created normal region vector and the obtained round dial image; and judging whether the current monitoring point position is normal or not by judging whether the head position of the pointer is in a normal area of the binary image or not. According to the invention, rapid detection of the single-pointer circular meter is realized, the inspection period of the meter is shortened, and the labor cost is reduced.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically relates to a computer vision-based method for monitoring the oil level of a circular gauge in a wind turbine cabin. Background technique [0002] Offshore wind power is an important field of renewable energy development, an important force to promote wind power technology progress and industrial upgrading, and an important measure to promote energy structure adjustment. Wind power generation is to use the wind to drive the windmill blades to rotate, and then increase the speed of rotation through the speed increaser to promote the generator to generate electricity. In order to make this process run smoothly and safely, it is inseparable from the detection, repair and maintenance work of the staff, among which the detection of hydraulic gauges in the system is also very important, such as the detection of single-needle circular gauges; however, due to the In...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/44G06T7/11G06T3/40G06N20/00
CPCG06T7/11G06T3/40G06N20/00G06T2207/20132
Inventor 陈洲李志军张宇喻洋
Owner 成都昱风能源有限公司
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