Nut looseness detection method for wind power tower drum

A technology for nut loosening and detection methods, which is applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems of time and energy for inspection personnel, and achieve the effect of reducing costs

Active Publication Date: 2020-03-24
TONGJI UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Observation marks generally use manual direct on-site judgments and remote shooting judgments through camera equipment, which requires time and energy for inspection personnel, and may cause misjudgments

Method used

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  • Nut looseness detection method for wind power tower drum
  • Nut looseness detection method for wind power tower drum
  • Nut looseness detection method for wind power tower drum

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0039] Such as figure 1 As shown, the present embodiment provides a method for detecting loose nuts of a wind power tower, which specifically includes the following steps:

[0040] Step S1, collecting two-dimensional image data including the target object through a visual sensor, such as an industrial camera or a surveillance camera;

[0041] Step S2, detecting the position of the nut in the two-dimensional image through the random forest classification model;

[0042] Step S3, obtaining a preliminary translation vector of each nut in the two-dimensional image relative to the camera...

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Abstract

The invention relates to a nut looseness detection method for a wind power tower. The nut looseness detection method comprises the following steps: collecting two-dimensional image data; detecting theposition of the nut in the two-dimensional image through a random forest classification model; obtaining a preliminary translation vector of each nut in the two-dimensional image relative to a cameracoordinate system through a regression model; selecting a preset nut posture template which is closest to the preset nut posture template; optimizing the target function to obtain a current rotationvector R' and a current translation vector T' of each nut; and comparing the rotation vector R' and the current translation vector T' with a preset original rotation vector R0 and an original translation vector T0, and judging that the nut is loosened. Compared with the prior art, the method has the advantages that by using computer vision and machine learning technologies, a relatively accurate initial pose can be obtained by virtue of a small number of templates, the implementation cost of an algorithm is reduced, the precision is relatively high, and the labor cost is effectively reduced.

Description

technical field [0001] The invention relates to the field of inspection of wind turbines, in particular to a method for detecting loose nuts of wind power towers. Background technique [0002] The wind farm lines and wind turbines are widely distributed in many areas, the terrain is complex, and the natural environment is harsh. They are often damaged by the natural environment to varying degrees. The inspection of wind turbines and transmission lines is an indispensable task. At present, the main method of wind turbine inspection is manual line inspection. Inspection personnel use binoculars to observe the blades, towers, wires, etc. under the wind turbine. This method is labor-intensive, inefficient, and expensive. The most cumbersome thing in the fan inspection work is the loose identification of the nut at a specific position of the fan unit. The traditional manual inspection method is time-consuming and laborious, and the efficiency is not high. The traditional method...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187G06T7/73G06K9/62
CPCG06T7/0004G06T7/73G06T7/11G06T7/187G06T2207/10016G06T2207/20081G06T2207/30108G06F18/24323
Inventor 沈润杰黄奕欣华丹琼邢瑞敏
Owner TONGJI UNIV
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