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Method for monitoring degree of tightness of bolts of building tower crane based on unmanned aerial vehicle image recognition

An image recognition and unmanned aerial vehicle technology, applied in the testing of mechanical components, testing of machine/structural components, motor vehicles, etc., can solve the problems of long time-consuming manual inspection, increased safety risks, and easy loosening of bolts, etc., to achieve The effect of reducing the probability of human misjudgment, reducing detection time, and reducing safety risks

Inactive Publication Date: 2019-07-23
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0002] The construction tower crane is an indispensable key equipment for construction. However, due to the working state of the tower crane's rotation, hoisting and unloading, the bolts of the tower crane are subject to the influence of vibration loads, resulting in easy loosening of the tightened bolts. Therefore, the tower crane should be checked regularly. The current inspection method is manual visual inspection and manual tightening, and the inspection frequency is once a month. This inspection method has the following disadvantages: first, the number of tower crane bolts is large, and manual inspection takes a long time; second, manual climbing Climbing increases the safety risk; the third is that there are large human errors

Method used

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  • Method for monitoring degree of tightness of bolts of building tower crane based on unmanned aerial vehicle image recognition
  • Method for monitoring degree of tightness of bolts of building tower crane based on unmanned aerial vehicle image recognition
  • Method for monitoring degree of tightness of bolts of building tower crane based on unmanned aerial vehicle image recognition

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0030] The height of the tower crane that the embodiment of the present invention chooses is 11.2m, and the width of the tower body is 1.665m, and the height of the single section of the tower crane is 2.8m.

[0031] Such as figure 1 As shown, a method for monitoring the tightness of building tower crane bolts based on UAV image recognition includes steps:

[0032] 1) After the worker tightens each bolt, use a paint pen to make a straight line mark on the surface of the nut and the sleeve in the vertical direction along the outside. The mark spans the outside of the nut and the sleeve and is viewed directly in front of the same horizontal plane as the bolt. When marking, the mark at the nut and the mark at the sleeve are on the same straight line, such as figure 2 As mentioned above, when the bolt is loose, when viewed from the same angle, the part m...

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Abstract

The invention provides a method for monitoring degree of tightness of bolts of a building tower crane based on unmanned aerial vehicle image recognition, comprising the following steps: step 1, marking a bolt on the building tower crane to obtain two marking lines; step 2, making an unmanned aerial vehicle to fly according to the set route, flight speed and shooting interval and photographing thebolt; and setting the shooting interval for the flight process according to the set flight speed and according to a position where photographing is required; step 3, transferring the captured photo toa ground control platform; and step 4, after receiving the photo by the ground control platform, using an image recognition technology to recognize the misalignment angle of the two marking lines onthe side of a nut and on the side of a sleeve, and if the angle is greater than a critical value provided by the constructor, issuing an early warning. According to the method in the invention, the safety risk of climbing the tower crane for manual detection can be reduced; at the same time, image recognition can reduce the probability of human misjudgment; furthermore, the use of the unmanned aerial vehicle for photographing is convenient and fast, and the detection time can be greatly reduced.

Description

technical field [0001] The invention relates to a method for monitoring the tightness of bolts of a construction tower crane, in particular to a method for monitoring the tightness of bolts of a construction tower crane based on unmanned aerial vehicle image recognition. Background technique [0002] The construction tower crane is an indispensable key equipment for construction. However, due to the working state of the tower crane's rotation, hoisting and unloading, the bolts of the tower crane are subject to the influence of vibration loads, resulting in easy loosening of the tightened bolts. Therefore, the tower crane should be checked regularly. The current inspection method is manual visual inspection and manual tightening, and the inspection frequency is once a month. This inspection method has the following disadvantages: first, the number of tower crane bolts is large, and manual inspection takes a long time; second, manual climbing Climbing increases the safety risk...

Claims

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Application Information

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IPC IPC(8): G01M13/00G01B11/26B64D47/08B64C39/02
CPCB64C39/02B64D47/08G01B11/26G01M13/00
Inventor 侯爽高榛何敬民梁新雄李冰州赵中源魏芸
Owner SOUTH CHINA UNIV OF TECH
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