CN112330615A - Method and system for monitoring state of high-strength bolt of rotating part - Google Patents
Method and system for monitoring state of high-strength bolt of rotating part Download PDFInfo
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- CN112330615A CN112330615A CN202011163495.1A CN202011163495A CN112330615A CN 112330615 A CN112330615 A CN 112330615A CN 202011163495 A CN202011163495 A CN 202011163495A CN 112330615 A CN112330615 A CN 112330615A
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- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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Abstract
The invention discloses a method and a system for monitoring the state of a high-strength bolt of a rotating part, wherein a special marking is arranged on the bolt to be detected; collecting an image of the bolt to be detected with a special marking; calculating the geometric center of the image of the bolt to be detected; determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected; calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is an included angle between the bolt to be detected and a lens central marking; and judging whether the bolt to be detected is abnormal or not according to the central angle sequence. By adopting the method, the abnormal condition of the high-strength bolt of the rotating part can be rapidly and accurately monitored.
Description
Technical Field
The invention relates to the field of high-strength bolt state monitoring, in particular to a method and a system for monitoring the state of a high-strength bolt of a rotating part.
Background
If the high-strength bolt of the rotating part is broken, a fault point is enlarged, and the damage to surrounding bolts and equipment is particularly serious, so that safety accidents caused by the broken bolt of the rotating part occur. The method for detecting the bolts at the present stage mostly adopts an ultrasonic detection mode, the detection effect of the mode on the bolts is good, but because a rotating part is provided with a large number of high-strength bolts, the detection by means of ultrasonic and the like consumes a large amount of time, a large amount of cost investment is increased, meanwhile, the online detection cannot be effectively realized by using the existing method, and the detection method is lacked in a non-shutdown state.
Disclosure of Invention
Based on the method, the invention provides a method and a system for monitoring the state of the high-strength bolt of the rotating part.
In order to achieve the purpose, the invention provides the following scheme:
a method for monitoring the state of a high-strength bolt of a rotating component comprises the following steps:
arranging special marked lines on the bolt to be detected;
collecting an image of the bolt to be detected with a special marking;
calculating the geometric center of the image of the bolt to be detected;
determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected;
calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is an included angle between the bolt to be detected and a lens central marking;
and judging whether the bolt to be detected is abnormal or not according to the central angle sequence.
Optionally, the calculating the geometric center of the image of the bolt to be detected specifically includes:
training the bolt image to be detected through a cascade classifier to obtain a pattern feature file;
identifying the boundary of the bolt image to be detected by adopting an identification algorithm based on the graphic feature file;
and calculating the geometric center of the bolt image to be detected according to the boundary of the bolt image to be detected.
Optionally, determining a horizontal axis coordinate sequence according to the geometric center of the to-be-detected bolt image specifically includes:
restoring the image of the bolt to be detected to the geometric center through image transformation;
the abscissa center point of each restored image is calculated,
and projecting the center point of the horizontal coordinate to a horizontal axis to obtain a horizontal axis coordinate sequence.
Optionally, the determining, according to the central angle sequence, whether the bolt to be detected is abnormal specifically includes:
subtracting adjacent data in the central angle sequence to obtain a new sequence;
calculating a difference between each term in the new sequence and a value of 1;
judging whether the difference is larger than a set error or not;
if yes, judging that the current bolt to be detected is abnormal.
Optionally, the method further comprises:
and when the bolt to be detected is judged to be abnormal, determining the abnormal type according to the graphic feature file.
The invention also provides a system for monitoring the state of the high-strength bolt of the rotating part, which comprises the following components:
the deployment module is used for deploying special marked lines on the bolts to be detected;
the acquisition module is used for acquiring an image of the bolt to be detected with a special marking;
the geometric center calculating module is used for calculating the geometric center of the image of the bolt to be detected;
the horizontal axis sequence determination module is used for determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected;
the central angle sequence calculation module is used for calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is an included angle between the bolt to be detected and a lens central marking;
and the judging module is used for judging whether the bolt to be detected is abnormal or not according to the central angle sequence.
Optionally, the geometric center calculation module specifically includes:
the training unit is used for training the bolt image to be detected through a cascade classifier to obtain a pattern feature file;
the recognition unit is used for recognizing the boundary of the bolt image to be detected by adopting a recognition algorithm based on the graphic feature file;
and the geometric center calculating unit is used for calculating the geometric center of the bolt image to be detected according to the boundary of the bolt image to be detected.
Optionally, the abscissa sequence determining module specifically includes:
the transformation unit is used for restoring the image of the bolt to be detected to the geometric center through image transformation;
an abscissa center point calculation unit for calculating an abscissa center point of each restored image,
and the projection unit is used for projecting the horizontal coordinate center point to a horizontal axis to obtain a horizontal axis coordinate sequence.
Optionally, the determining module specifically includes:
a difference making unit, configured to make a difference between adjacent data in the central angle sequence to obtain a new sequence;
a difference calculation unit for calculating the difference between each item in the new sequence and the value 1;
the first judging unit is used for judging whether the difference value is larger than a set error or not;
and the second judging unit is used for judging that the current bolt to be detected is abnormal when the difference value is larger than the set error.
Optionally, the method further comprises:
and the abnormal type determining module is used for determining the abnormal type according to the graphic feature file when judging that the bolt to be detected is abnormal.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a method and a system for monitoring the state of a high-strength bolt of a rotating part, wherein a special marking is arranged on the bolt to be detected; acquiring an image of the bolt to be detected with a special marking; calculating the geometric center of the image of the bolt to be detected; determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected; calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is an included angle between the bolt to be detected and a lens central marking; and judging whether the bolt to be detected is abnormal or not according to the central angle sequence. By adopting the method, the abnormal condition of the high-strength bolt of the rotating part can be rapidly and accurately monitored.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for monitoring the condition of a high-strength bolt of a rotating member according to an embodiment of the present invention;
fig. 2 is a block diagram of a high-strength bolt state monitoring system of a rotating member according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, a method for monitoring a high-strength bolt state of a rotating member includes:
step 101: and special marked lines are arranged on the bolts to be detected.
Step 102: and acquiring an image of the bolt to be detected with a special marked line.
Step 103: and calculating the geometric center of the image of the bolt to be detected. Specifically, the method comprises the following steps:
step 1031: and training the bolt image to be detected through a cascade classifier (Traincascade) to obtain a graphic feature file.
Step 1032: and based on the graphic feature file, recognizing the boundary of the bolt image to be detected by adopting a recognition algorithm (OpenCV).
Step 1033: and calculating the geometric center of the bolt image to be detected according to the boundary of the bolt image to be detected.
Step 104: and determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected. Specifically, the method comprises the following steps:
step 1041: and restoring the image of the bolt to be detected to the geometric center through image transformation (tangential distortion and radial distortion correction).
Step 1042: the abscissa center point of each restored image is calculated.
Step 1043: and projecting the center point of the horizontal coordinate to a horizontal axis to obtain a horizontal axis coordinate sequence.
Step 105: calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is the included angle between the to-be-detected bolt and the central marking of the lens.
The central angle is deduced by using the following formula (the radian of the lens center mark is preset to be 0, and the rust language is described):
n＝(((rs*xc)/((r*b).powi(2)+(r*xc).powi(2)).sqrt()).asin())+((r*xc)/(r*b)).atan()/dsita
wherein, rs, r and b are all related to a specific image probe on a known machine type and the installation mode thereof, r represents the radius of the detected flange ring equipment, rs represents the distance between the installation position of the lens and the flange ring, b is a coefficient related to the equivalent focal length, dsita represents the included angle between adjacent bolts, and xc is the abscissa in the abscissa sequence.
Step 106: and judging whether the bolt to be detected is abnormal or not according to the central angle sequence.
The new sequence is obtained by subtracting the adjacent data in the central angle sequence (…, n-1, n0, n1, …), and each item of the final sequence is different from 1 by a set error sigma under the condition that the bolt is normal and uniform, and if the error is larger than the set error, the bolt abnormality is considered to occur.
Further comprising: step 107: and when the bolt to be detected is judged to be abnormal, determining the abnormal type according to the graphic feature file. The bolt abnormality at the specific position is obtained from the step 106, and then the corresponding image is finely judged (the bolt feature file corresponding to the defect can be obtained through image acquisition training under different defects, a new image is obtained through cutting the image boundary obtained from the step 1033, and the feature file is applied to the new image for cutting), so that the detection of breakage, deficiency and the like can be realized.
As shown in fig. 2, the present invention also provides a high-strength bolt condition monitoring system for a rotating member, the system comprising:
and the deployment module 201 is used for deploying special marked lines on the bolts to be detected.
And the acquisition module 202 is used for acquiring an image of the bolt to be detected with a special marking.
And the geometric center calculating module 203 is used for calculating the geometric center of the image of the bolt to be detected.
The geometric center calculation module 203 specifically includes:
the training unit is used for training the bolt image to be detected through a cascade classifier to obtain a pattern feature file;
the recognition unit is used for recognizing the boundary of the bolt image to be detected by adopting a recognition algorithm based on the graphic feature file;
and the geometric center calculating unit is used for calculating the geometric center of the bolt image to be detected according to the boundary of the bolt image to be detected.
And the abscissa sequence determining module 204 is configured to determine an abscissa sequence according to the geometric center of the to-be-detected bolt image.
The abscissa sequence determining module 204 specifically includes:
the transformation unit is used for restoring the image of the bolt to be detected to the geometric center through image transformation;
an abscissa center point calculation unit for calculating an abscissa center point of each restored image,
and the projection unit is used for projecting the horizontal coordinate center point to a horizontal axis to obtain a horizontal axis coordinate sequence.
A central angle sequence calculating module 205, configured to calculate a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is the included angle between the to-be-detected bolt and the central marking of the lens.
And the judging module 206 is used for permanently judging whether the bolt to be detected is abnormal or not according to the central angle sequence.
The determining module 206 specifically includes:
a difference making unit, configured to make a difference between adjacent data in the central angle sequence to obtain a new sequence;
a difference calculation unit for calculating the difference between each item in the new sequence and the value 1;
the first judging unit is used for judging whether the difference value is larger than a set error or not;
and the second judging unit is used for judging that the current bolt to be detected is abnormal when the difference value is larger than the set error.
Further comprising:
and the abnormal type determining module 207 is used for determining the abnormal type according to the graphic feature file when the abnormal condition of the bolt to be detected is judged.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A method for monitoring the state of a high-strength bolt of a rotating component is characterized by comprising the following steps:
arranging special marked lines on the bolt to be detected;
collecting an image of the bolt to be detected with a special marking;
calculating the geometric center of the image of the bolt to be detected;
determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected;
calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is an included angle between the bolt to be detected and a lens central marking;
and judging whether the bolt to be detected is abnormal or not according to the central angle sequence.
2. The method for monitoring the high-strength bolt state of the rotating part according to claim 1, wherein the calculating the geometric center of the image of the bolt to be detected specifically comprises:
training the bolt image to be detected through a cascade classifier to obtain a pattern feature file;
identifying the boundary of the bolt image to be detected by adopting an identification algorithm based on the graphic feature file;
and calculating the geometric center of the bolt image to be detected according to the boundary of the bolt image to be detected.
3. The method for monitoring the state of the high-strength bolt of the rotating component according to claim 1, wherein the step of determining the horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected specifically comprises the following steps:
restoring the image of the bolt to be detected to the geometric center through image transformation;
the abscissa center point of each restored image is calculated,
and projecting the center point of the horizontal coordinate to a horizontal axis to obtain a horizontal axis coordinate sequence.
4. The method for monitoring the state of the high-strength bolt of the rotating part according to claim 1, wherein the step of judging whether the bolt to be detected is abnormal or not according to the central angle sequence specifically comprises the following steps:
subtracting adjacent data in the central angle sequence to obtain a new sequence;
calculating a difference between each term in the new sequence and a value of 1;
judging whether the difference is larger than a set error or not;
if yes, judging that the current bolt to be detected is abnormal.
5. The method for monitoring the condition of a high-strength bolt of a rotating member according to claim 1, further comprising:
and when the bolt to be detected is judged to be abnormal, determining the abnormal type according to the graphic feature file.
6. A rotating member high strength bolt condition monitoring system, comprising:
the deployment module is used for deploying special marked lines on the bolts to be detected;
the acquisition module is used for acquiring an image of the bolt to be detected with a special marking;
the geometric center calculating module is used for calculating the geometric center of the image of the bolt to be detected;
the horizontal axis sequence determination module is used for determining a horizontal axis coordinate sequence according to the geometric center of the bolt image to be detected;
the central angle sequence calculation module is used for calculating a central angle based on the abscissa sequence to obtain a central angle sequence; the central angle is an included angle between the bolt to be detected and a lens central marking;
and the judging module is used for judging whether the bolt to be detected is abnormal or not according to the central angle sequence.
7. The rotating member high-strength bolt condition monitoring system according to claim 6, wherein the geometric center calculation module specifically comprises:
the training unit is used for training the bolt image to be detected through a cascade classifier to obtain a pattern feature file;
the recognition unit is used for recognizing the boundary of the bolt image to be detected by adopting a recognition algorithm based on the graphic feature file;
and the geometric center calculating unit is used for calculating the geometric center of the bolt image to be detected according to the boundary of the bolt image to be detected.
8. The rotating member high-strength bolt condition monitoring system according to claim 6, wherein the abscissa sequence determination module specifically includes:
the transformation unit is used for restoring the image of the bolt to be detected to the geometric center through image transformation;
an abscissa center point calculation unit for calculating an abscissa center point of each restored image,
and the projection unit is used for projecting the horizontal coordinate center point to a horizontal axis to obtain a horizontal axis coordinate sequence.
9. The system for monitoring the state of the high-strength bolt of the rotating component according to claim 6, wherein the judging module specifically comprises:
a difference making unit, configured to make a difference between adjacent data in the central angle sequence to obtain a new sequence;
a difference calculation unit for calculating the difference between each item in the new sequence and the value 1;
the first judging unit is used for judging whether the difference value is larger than a set error or not;
and the second judging unit is used for judging that the current bolt to be detected is abnormal when the difference value is larger than the set error.
10. The rotating member high strength bolt condition monitoring system of claim 6, further comprising:
and the abnormal type determining module is used for determining the abnormal type according to the graphic feature file when judging that the bolt to be detected is abnormal.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011163495.1A CN112330615B (en) | 2020-10-27 | 2020-10-27 | Method and system for monitoring state of high-strength bolt of rotating part |
| PCT/CN2020/134511 WO2022088399A1 (en) | 2020-10-27 | 2020-12-08 | Method and system for monitoring state of high-strength bolt of rotating component |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011163495.1A CN112330615B (en) | 2020-10-27 | 2020-10-27 | Method and system for monitoring state of high-strength bolt of rotating part |
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| CN112330615A true CN112330615A (en) | 2021-02-05 |
| CN112330615B CN112330615B (en) | 2022-11-29 |
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| CN202011163495.1A Active CN112330615B (en) | 2020-10-27 | 2020-10-27 | Method and system for monitoring state of high-strength bolt of rotating part |
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| WO (1) | WO2022088399A1 (en) |
Cited By (1)
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| CN114820620A (en) * | 2022-06-29 | 2022-07-29 | 中冶建筑研究总院（深圳）有限公司 | Bolt loosening defect detection method, system and device |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN112330615B (en) | 2022-11-29 |
| WO2022088399A1 (en) | 2022-05-05 |
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