CN111242938B - Automatic checking method for state of pressing plate - Google Patents
Automatic checking method for state of pressing plate Download PDFInfo
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- CN111242938B CN111242938B CN202010054417.1A CN202010054417A CN111242938B CN 111242938 B CN111242938 B CN 111242938B CN 202010054417 A CN202010054417 A CN 202010054417A CN 111242938 B CN111242938 B CN 111242938B
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- 238000003825 pressing Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000001914 filtration Methods 0.000 claims abstract description 15
- 238000007689 inspection Methods 0.000 claims abstract description 11
- 238000012937 correction Methods 0.000 claims abstract description 9
- 238000003860 storage Methods 0.000 claims abstract description 4
- 238000012216 screening Methods 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 4
- PXFBZOLANLWPMH-UHFFFAOYSA-N 16-Epiaffinine Natural products C1C(C2=CC=CC=C2N2)=C2C(=O)CC2C(=CC)CN(C)C1C2CO PXFBZOLANLWPMH-UHFFFAOYSA-N 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 3
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- 238000012163 sequencing technique Methods 0.000 claims description 3
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- 238000012986 modification Methods 0.000 description 2
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- 230000008569 process Effects 0.000 description 2
- 230000001681 protective effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
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- 239000011159 matrix material Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/40—Filling a planar surface by adding surface attributes, e.g. colour or texture
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/60—Rotation of whole images or parts thereof
- G06T3/608—Rotation of whole images or parts thereof by skew deformation, e.g. two-pass or three-pass rotation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
- G06T2207/10008—Still image; Photographic image from scanner, fax or copier
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
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Abstract
The invention provides a method for automatically checking the state of a pressing plate, which comprises the following steps: s1, scanning a two-dimensional code corresponding to a protection screen cabinet through a handheld scanning device, and acquiring the setting state of a pressure plate switch on the protection screen cabinet from a server; s2, acquiring a photo of the protection screen cabinet through the handheld scanning equipment and uploading the photo to a server; s3, the server sequentially carries out background filtering, rotation correction and pressing plate state identification on the photo, and transmits an identification result back to the handheld scanning device; s4, the handheld scanning equipment compares the identification result with the set state and displays the comparison result on the handheld scanning equipment; s5, the inspection personnel re-inspect according to the comparison result, and upload the result to the server for storage after confirming that the result is correct.
Description
Technical Field
The invention relates to the technical field of power system inspection assistance, in particular to an automatic checking method for the state of a pressing plate based on a pressing plate image of a protection screen cabinet.
Background
In 110kv substations, there are usually 10-20 protection cabinets, the number of the protection cabinets of 220kv and 500kv substations can reach hundreds, the number of the pressure plate switches of each protection cabinet is up to fifty-four, and inspection work needs to be performed on the pressure plate switches. However, the existing manual inspection process has the problems of large workload, poor timeliness, paperiness of work records and the like, and inspection personnel can have errors due to physical and psychological quality, responsibility, technical level, working experience and other factors, so that potential safety hazards are left, and even serious safety disasters are caused. Due to the development of the existing machine vision technology and network technology, a clamp plate part of a protective screen cabinet can be photographed through a camera, then an image is processed through a processor to identify the on-off state of the clamp plate, finally the check is performed through a clamp plate on-off table, and the check result and the photographed picture are stored. However, a set of press plate-like automatic checking system and method have not been developed for manual inspection in the prior art.
It is therefore desirable to develop a method of automatically checking the state of the platen. The method can automatically identify the state of the pressing plate of the photographed protecting screen cabinet, then compares the state with the pressing plate throw-back table in the background, and finally saves the comparison result and the photographed picture in a background server.
Disclosure of Invention
The invention provides an automatic checking method based on the state of a protective screen cabinet pressing plate image pressing plate, which can effectively solve the problems.
The invention is realized in the following way:
an automatic checking method for the state of a pressing plate comprises the following steps:
s1, scanning a two-dimensional code corresponding to a protection screen cabinet through a handheld scanning device, and acquiring the setting state of a pressure plate switch on the protection screen cabinet from a server;
s2, acquiring a photo of the protection screen cabinet through the handheld scanning equipment and uploading the photo to a server;
s3, the server sequentially carries out background filtering, rotation correction and pressing plate state identification on the photo, and transmits an identification result back to the handheld scanning device;
s4, the handheld scanning equipment compares the identification result with the set state and displays the comparison result on the handheld scanning equipment;
s5, the inspection personnel re-inspect according to the comparison result, and upload the result to the server for storage after confirming that the result is correct.
The beneficial effects of the invention are as follows: 1. the invention utilizes machine vision to identify and check the pressing plate of the protection screen cabinet, thereby improving the inspection efficiency of inspection personnel on the protection screen cabinet; 2. according to the invention, the image is subjected to background filtering and rotation correction, and then the state of the pressing plate is identified, so that the accuracy of identification can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 to 23 are process images of background filtering, rotation correction, and platen state recognition processing in the platen state automatic checking method according to the embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments.
Referring to fig. 1 to 23, an embodiment of the present invention provides a method for automatically checking a state of a platen, including the steps of:
s1, scanning a two-dimensional code corresponding to a protection screen cabinet through a handheld scanning device, and acquiring the setting state of a pressure plate switch on the protection screen cabinet from a server;
s2, acquiring a photo of the protection screen cabinet through the handheld scanning equipment and uploading the photo to a server;
s3, the server sequentially carries out background filtering, rotation correction and pressing plate state identification on the photo, and transmits an identification result back to the handheld scanning device;
s4, the handheld scanning equipment compares the identification result with the set state and displays the comparison result on the handheld scanning equipment;
s5, the inspection personnel re-inspect according to the comparison result, and upload the result to the server for storage after confirming that the result is correct.
Referring to fig. 1, in step S3, the step of performing background filtering on the photo includes:
s311, an S channel in an HSV color space of an input photo is acquired, a threshold value 80 and a maximum value 255 are binarized, and a picture is obtained as shown in FIG. 2:
s312, morphological operation is carried out by using a morphyoyEx function, a kernel selects a rectangle with the size of 9x9, and an image is subjected to open operation (corrosion is carried out before expansion), so that a picture is shown in FIG. 3:
and (3) carrying out an opening operation:
img_open＝open(img_THR，element)＝dilate(erode(img_THRelement))
firstly, corroding:
re-expanding:
s313, searching the Contours by utilizing the findContours function, and storing all the found Contours contents to obtain a picture as shown in fig. 4:
Contours＝findContours(img_open)。
s314, taking the minimum circumscribed rectangle for each element of the contents, and obtaining a picture as shown in FIG. 5:
BoundRects＝{boundRect|boundRect
＝Rect(min(contour.x)，min(contour.y)，max(contour.x)
-min(contour.x)，max(contour.y)-min(contour.y))contour∈Contours}
s315, calculating the area median of all BoundREcts (without area boundary screening, so that the algorithm is applicable to distribution boards with various pixel sizes), and screening out TarRacts 1 by first screening each element of BoundREcts to define the deviation domain of BoundREcts and the BoundREcts, as shown in FIG. 6:
the area size set after incremental sequencing according to the area size of BoundRects is terms
terms(BoundRects)＝Ascendingorder(BoundRects.area)
Calculating median of terms
First screening
S316, performing a second screening on the limited aspect ratio of each element of Tarrcts 1 to screen Tarrcts 2, as shown in FIG. 7;
TarRects2＝{rect|2*rect.height＞rect.width.rect∈TarRects1}。
s317, calculating and normalizing a histogram H for each element of Tarrcts 2 by using a calcHist function, comparing the histogram with a previously prepared red and Huang Yaban template by using a compactreHist function, defining an upper score limit, filtering non-red and Huang Yaban, and performing third screening of Tarrcts 3, as shown in FIG. 9:
the comparison histogram:
s318, calculating four corner points for each element of TarRact 3, merging and storing into a point container;
s319, taking the minimum circumscribed rectangle filter_rect of all points in the point container, adjusting the boundary range, and filling the part outside the area in the input photo with white to obtain a photo with a filtered background, as shown in FIG. 10.
As a further improvement, in step S3, the step of performing rotation correction on the photograph includes:
s321, filtering the photo of the background to obtain a minimum area rectangle (minAreate), and then obtaining a two-dimensional box (CvBox 2D) to obtain a single rotation angle, as shown in FIG. 11;
the average rotation angle avg_angle is calculated.
Contour of pressing plate after three times of screening under the same index of background filtering:
Contours2＝{contour}contour＝Contours[rect.index]，rect∈TarRect3}
average rotation angle:
s322, selecting the larger number in the longer and wider width of the input diagramSetting the square with the length and the width of canvas as canvas, and filling black into the gap between the input diagram and the canvas by using a copyMakeBorder function, as shown in FIG. 12;
square canvas side length:
length and width of upper, lower, left and right filling areas:
dx＝(canvas_length-img_BGFilter.cols)/2
dy＝(canvas_length-img_BGFilter.rows)/2
thus, the filled canvas:
canvas＝Rect(0，0，canvas_length，canvas_length)。
s323, rotating the input diagram by using the warp Affine function, wherein the rotation angle is avg_angle, and the canvas center is denoted as center, as shown in FIG. 13.
The original coordinates (x, y) are transformed into new coordinates (x ', y'), the intermediate transformation matrix being denoted M.
The basic formula of the transformation of the warp affine,
translation transformation, if
x′＝x+t x
v′＝y+t y
Then
And (3) rotating and converting, wherein if the rotation angle is theta.
In the image processing of opencv, all processing is performed from the origin, the origin of the image defaults to the upper left corner of the image, and when we perform rotation processing on the image, the midpoint of the image is generally used as the axis, so the following processing is needed: the axle center is moved to the origin to make rotation transformation, and finally the upper left corner is set as the origin of the image.
src2(x′，y′)＝M3ximg_BGFilter(x，y)。
S324, calculating the size of the minimum circumscribed rectangle img_Recor of the rotated image, and cutting off redundant frames of the canvas, as shown in FIG. 14:
output img_record length and width:
img_Recor.width＝src2.cols*abs(cos(avg_angle))+src2.rowws*abs(sin(avg_angle))ig_Recor.height＝src2.cols*abs(sin(avg_angle))+src2.rows*abs(cos(avg_angle))
cutting canvas area length and width:
dx2＝(canvas_length-img_Recor.width)/2
dy2＝(canvas_length-img_Recor，height)/2
thus, img_record is output:
img_Recor＝canvas(dx2，dy2，img_Recor.width.img_Recor.height)。
as a further improvement, in step S3, the step of performing platen state recognition on the photo includes:
s331 to S336 are the same as steps S311 to S316, and refer to fig. 15 to 20.
S337, judging the switching state of the pressing plate according to the aspect ratio for each element of TarRacts 2; please refer to fig. 21:
opening:
TarRects_on＝{rect|2*rect.width＞rect.height，rect∈TarRects2}
and (3) closing:
TarRects_off＝{rect}2*rect.width≤rect.height，rect∈TarRects2}。
s338, carrying out incremental sequencing on the x coordinate of each element of TarRacts 2, calculating the difference of adjacent elements, and converting the adjacent differences into percentage change diff; s339, the y-coordinate increment of each element of tarrces 2 is sequenced, the adjacent element differences are calculated, and the adjacent differences are converted into percentage change diff, please refer to fig. 22 and 23:
setting a threshold value diffVal, and entering the next cluster when diff is larger than diffVal.
TarRects2＝Ascendibg order(TarRects2)
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations may be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The automatic checking method for the state of the pressing plate is characterized by comprising the following steps of: s1, scanning a two-dimensional code corresponding to a protection screen cabinet through a handheld scanning device, and acquiring the setting state of a pressure plate switch on the protection screen cabinet from a server;
s2, acquiring a photo of the protection screen cabinet through the handheld scanning equipment and uploading the photo to a server;
s3, the server sequentially carries out background filtering, rotation correction and pressing plate state identification on the photo, and transmits an identification result back to the handheld scanning device;
s4, the handheld scanning equipment compares the identification result with the set state and displays the comparison result on the handheld scanning equipment;
s5, the inspection personnel re-inspect according to the comparison result, and upload the result to the server for storage after confirming that the result is correct;
in step S3, the step of performing background filtering on the photo includes: s311, acquiring an S channel in an HSV color space of an input photo, and performing binarization of a threshold value 80 and a maximum value 255;
s312, morphological operation is carried out by using a morphyoyEx function, a kernel selects a rectangle with the size of 9x9, and image opening operation is carried out;
s313, searching the contour by utilizing a findContours function, and storing all the found contour contents;
s314, taking a minimum circumscribed rectangle BoundRect for each element of the contents;
s315, calculating the area median of all BoundREcts, and carrying out first screening on each element of BoundREcts to limit the deviation domain of BoundREcts and BoundREcts, so as to screen TarRacts 1;
s316, performing second screening on the limited aspect ratio of each element of TarRNA 1 to screen TarRNA 2;
s317, calculating and normalizing a histogram H of each element of TarRact 2 by using a calcHist function, comparing the histogram with a previously manufactured red and Huang Yaban template by using a compactreHist function, limiting the upper limit of scores, filtering non-red and Huang Yaban, and screening TarRact 3 for the third time;
s318, calculating four corner points for each element of TarRact 3, merging and storing into a point container;
s319, taking the minimum circumscribed rectangle filter_rect of all points in the point container, adjusting the boundary range, and filling the part outside the minimum circumscribed rectangle filter_rect after the boundary range adjustment in the input photo into white to obtain the photo with the filtered background.
2. The platen state automatic checking method according to claim 1, wherein in step S3, the step of performing background filtering, rotation correction on the photograph includes: s321, filtering the photo of the background to obtain a minimum circumscribed rectangle, and then solving a two-dimensional box to obtain a single rotation angle;
s322, selecting the maximum value of the length and width in the input photoSetting the multiplied value as canvas, taking a square with the length and the width of canvas as canvas, and filling black by using a copyMakeBorder function in the gap between the input photo and the canvas;
s323, rotating the input photo by using a warp Affine function, wherein the rotation angle is avg_angle, and the canvas center is recorded as a center;
s324, calculating the size of the minimum circumscribed rectangle img_Recor of the rotated image, and cutting off redundant frames of the canvas.
3. The platen state automatic checking method according to claim 1, wherein in step S3, the steps of performing background filtering, rotation correction, platen state recognition on the photograph include:
s331, taking out an S channel in an HSV color space of an input photo, and carrying out binarization of a threshold value 80 and a maximum value 255;
s332, performing morphological operation by using a morphyoyEx function, selecting a rectangle with the size of 9x9 by a kernel, and performing operation on an image;
s333, searching the contour by utilizing a findContours function, and storing all the found contour contents;
s334, taking a minimum circumscribed rectangle BoundRect for each element of the contents;
s335, calculating the area median of all BoundREcts, and carrying out first screening on each element of BoundREcts to limit the deviation domain of BoundREcts and BoundREcts, so as to screen TarRacts 1;
s336, performing second screening on the limited aspect ratio of each element of TarRNA 1 to screen TarRNA 2;
s337, judging the switching state of the pressing plate according to the aspect ratio for each element of TarRacts 2;
s338, carrying out incremental sequencing on the x coordinate of each element of TarRacts 2, calculating adjacent element differences, and converting the adjacent element differences into percentage change diff;
s339, the y coordinates of each element of TarRacts 2 are incrementally ordered, adjacent element differences are calculated, and the adjacent element differences are converted into percentage change diff.
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Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112089148A (en) * | 2020-07-30 | 2020-12-18 | 许继集团有限公司 | Intelligent helmet system and pressing plate state identification method |
| CN112528742A (en) * | 2020-11-06 | 2021-03-19 | 广东电网有限责任公司中山供电局 | State checking method and device for transformer substation pressure plate |
| CN112564291A (en) * | 2020-12-14 | 2021-03-26 | 国网陕西省电力公司汉中供电公司 | Power equipment pressing plate state monitoring system and monitoring method |
| CN113159097A (en) * | 2021-02-05 | 2021-07-23 | 广东驰行电力设备有限公司 | Method for realizing automatic identification system of pressing plate switch state under network-free condition |
| CN113158751B (en) * | 2021-02-05 | 2023-09-19 | 广东驰行电力设备有限公司 | Method for facilitating rapid processing of press plate switch state |
| CN112949425A (en) * | 2021-02-05 | 2021-06-11 | 广东驰行电力设备有限公司 | Automatic identification method beneficial to improving accuracy of identifying on-off state of pressing plate |
| CN114764791A (en) * | 2022-04-07 | 2022-07-19 | 贵州电网有限责任公司 | Transformer substation secondary screen cabinet panel state identification method and system based on image identification |
| CN117541028B (en) * | 2024-01-09 | 2024-04-12 | 国网山东省电力公司菏泽供电公司 | Management system for protecting pressing plate |
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Effective date of registration: 20231225 Address after: 518000 room 401-5, building D, wisdom Plaza, 4068 Qiaoxiang Road, Gaofa community, Shahe street, Nanshan District, Shenzhen City, Guangdong Province Patentee after: Shenzhen Nanwang Dingli Technology Co.,Ltd. Address before: No. 7, Xin'an First Industrial Zone, Xin'an Village, East District, Zhongshan City, Guangzhou City, Guangdong Province, 528403 Patentee before: GUANGDONG CHIXING ELECTRIC POWER EQUIPMENT CO.,LTD. |
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