CN113516091B - Method for identifying electric spark image of transformer substation - Google Patents
Method for identifying electric spark image of transformer substation Download PDFInfo
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- CN113516091B CN113516091B CN202110851993.3A CN202110851993A CN113516091B CN 113516091 B CN113516091 B CN 113516091B CN 202110851993 A CN202110851993 A CN 202110851993A CN 113516091 B CN113516091 B CN 113516091B
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- 238000010892 electric spark Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004891 communication Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims description 16
- 230000000630 rising effect Effects 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0014—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation from gases, flames
- G01J5/0018—Flames, plasma or welding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a method for identifying electric spark images of a transformer substation, which is characterized in that a Charge Coupled Device (CCD) is used for collecting a TUP image of the position of the electric spark of the transformer substation, the collected infrared image is transmitted to a computer for processing by MATLAB, the histogram variance is calculated and compared with a set threshold value, the electric spark or the image of the suspected electric spark is judged, the judgment and comparison are carried out, the suspected target area is marked, the image is subjected to gray processing by an average algorithm image, the image is subjected to liming processing by a Sobel operator, the processed image information is transmitted to a control unit, the information is uploaded to a cloud server through wireless communication and is alarmed, and the accuracy of identifying the electric spark of the transformer substation is effectively improved.
Description
Technical Field
The invention relates to the field of power communication control and monitoring, in particular to a method for identifying an electric spark image of a transformer substation.
Background
Along with the rapid development of the Chinese economic technology, the accident rate of the transformer substation is continuously increased, the protection of the transformer substation is researched in the prior art, but most of the transformer substation is measured by adopting a manual temperature measuring robot, and certain inaccuracy exists.
The existing method has the following defects: 1. operators hold the instrument to check the transformer substation, and the safety is not high; 2. adopt the robot to inspect the transformer substation, can't be accurate measure the fault point accurate position, and receive the influence of weather etc.. Therefore, a method for identifying the electric spark image of the transformer substation is researched to realize the omnibearing and accurate positioning of the transformer substation, and the method becomes a problem to be solved urgently at present.
Disclosure of Invention
The invention aims to provide a method for identifying an electric spark image of a transformer substation.
The technical scheme adopted by the invention is as follows:
a method of identifying substation spark images, comprising the steps of:
a1: the CCD is used for monitoring the transformer substation in all aspects, the position where the electric spark occurs is found, the needed temperature parameter information is extracted, the position where the temperature rises and the temperature of surrounding devices are extremely different is compared and searched for one by one according to the obtained temperature parameter information, if the position is found, the next step is executed, otherwise, the step is continuously executed.
A2, amplifying the searched position by using a CCD, monitoring the position of the temperature rise in real time, and forming an electric spark image.
A3: and (3) transmitting the infrared image back to a computer, and carrying out graying treatment on the image obtained in the last step by using an average value algorithm in MATLAB to obtain a gray image Q.
And A4, comparing the calculated histogram variance with a set threshold, and executing the next step when the calculated variance is larger than or equal to the specified threshold, otherwise executing the step A1, wherein the threshold is suitable for distinguishing whether electric sparks exist in the obtained image.
And A5, carrying out histogram equalization on the image Q to obtain an image N, and carrying out communication marking on the image N, wherein the obtained communication area is the suspected target range.
And A6, intercepting an image of the suspected target range, and identifying and processing the image edge by utilizing a Sobel operator.
And A7, comparing the picture processed in the previous step with the contour image of the electric spark in a similar or consistent way, finding out the position where the electric spark is released, and sending an alarm to the outside.
Preferably, the method for comparing and searching the position with the temperature rise and the temperature of the surrounding device in the A1 according to the obtained temperature parameter information in a face-to-face way is as follows: based on the data acquired by the CCD, the position of each 3 pixel points is taken as a coordinate, the position of each 3 pixel points is recorded and is made with the next 3 pixel points, the obtained temperature quotient value is recorded as 1.5K1, all the pixel points are searched, 3 pixel points are taken as a group of data, the pixel point S which is more than 1.5K1 is searched, and when the continuous multiple groups of temperature data are more than 1.5K1, the region is regarded as the temperature obtained position.
Further preferably, in A4, the threshold setting method is as follows: selecting a large number of images or images with suspected flames and sparks and other images without flames and sparks, calculating variances of the two types of images, determining a threshold value, enabling the number of the images with sparks exceeding the threshold value to be more than half, and enabling the number of the images with other types of non-flames to be less than half.
Further preferably, in A5, the image histogram equalization processing uses newton iteration to update the threshold value for image processing.
Further preferably, in A6, the image of the suspected target range is cut out, and the sobel operator is utilized to identify and process the image edge.
The invention also provides a method for identifying the electric spark image of the transformer substation, which comprises the steps of detecting all the surfaces of the transformer substation through a CCD, connecting the CCD with a control unit, uploading the CCD to obtain image information and temperature information to the control unit, finding out an accurate position, and uploading the accurate position to a cloud server through wireless communication for alarming. The control unit needs to perform the following steps:
1) And (3) receiving the required temperature parameter information, carrying out face-to-face comparison according to the obtained temperature parameter information, searching for a position with extremely high difference value between the temperature rise and the temperature of surrounding devices, and if the position is found, executing the next step, otherwise, continuing executing the step.
2) The CCD is used for amplifying the searched position, monitoring the position of the temperature rise in real time and forming an electric spark image.
3) And (3) transmitting the image back to a computer, and carrying out graying treatment on the image obtained in the last step by using an average value algorithm in MATLAB to obtain a gray image Q.
4) And comparing the calculated variance of the histogram with a set threshold, and executing the next step when the calculated variance is larger than or equal to the specified threshold, otherwise executing the step A1, wherein the threshold is suitable for distinguishing whether electric sparks exist in the obtained image.
5) And carrying out histogram equalization on the image Q to obtain an image N, and carrying out communication marking on the image N, wherein the obtained communication area is the suspected target range.
6) And intercepting the image of the suspected target range, and identifying and processing the image edge by utilizing a Sobel operator.
7) And comparing the picture processed in the previous step with the contour image of the electric spark in a similar or consistent way, finding out the position where the electric spark is released, uploading the obtained information to a cloud server through wireless communication, and sending an alarm to the outside.
Preferably, the CCD can cover aspects of a transformer substation and an in-out power transmission line.
Further preferably, the CCD is arranged on the rotatable cradle head, and the controller controls the cradle head to monitor the transformer substation in real time.
By adopting the technical scheme, the all-weather real-time monitoring of the substation is realized through the CCD, the condition that operators are injured is avoided, the condition that the robot cannot detect all-weather and the electric spark in the substation cannot be accurately detected due to a long distance is also solved, and the accuracy of monitoring the electric spark in the substation is greatly improved.
Drawings
The invention is described in further detail below with reference to the drawings and detailed description;
FIG. 1 is a flow chart of a method for identifying an electrical discharge image of a substation according to the present invention;
fig. 2 is a schematic diagram of the control unit structure of the present invention.
Detailed Description
For the purposes, technical solutions and advantages of the embodiments of the present application, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
As shown in fig. 1 or fig. 2, the invention discloses a method for identifying an electric spark image of a transformer substation, which comprises the following steps:
a1: the CCD is used for monitoring the transformer substation in all aspects, the position where the electric spark occurs is found, the needed temperature parameter information is extracted, the position where the temperature rises and the temperature of surrounding devices are extremely different is compared and searched for one by one according to the obtained temperature parameter information, if the position is found, the next step is executed, otherwise, the step is continuously executed.
A2, amplifying the searched position by using a CCD, monitoring the position of the temperature rise in real time, and forming an electric spark image.
A3: and (3) transmitting the infrared image back to a computer, and carrying out graying treatment on the image obtained in the last step by using an average value algorithm in MATLAB to obtain a gray image Q.
And A4, comparing the calculated histogram variance with a set threshold, and executing the next step when the calculated variance is larger than or equal to the specified threshold, otherwise executing the step A1, wherein the threshold is suitable for distinguishing whether electric sparks exist in the obtained image.
And A5, carrying out histogram equalization on the image Q to obtain an image N, and carrying out communication marking on the image N, wherein the obtained communication area is the suspected target range.
And A6, intercepting an image of the suspected target range, and identifying and processing the image edge by utilizing a Sobel operator.
And A7, comparing the picture processed in the previous step with the contour image of the electric spark in a similar or consistent way, finding out the position where the electric spark is released, and sending an alarm to the outside.
According to the method for identifying the electric spark image of the transformer substation, the CCD is used for carrying out all-weather real-time monitoring on the transformer substation, the situation that operators are injured is avoided, the situation that robots cannot detect all-weather electric sparks in the transformer substation accurately can not be detected due to the fact that the distance is far, and the accuracy of monitoring the electric sparks in the transformer substation is greatly improved.
The method for comparing and searching the position with the temperature rise and the temperature of the surrounding devices in a face-to-face mode according to the obtained temperature parameter information in A1 is as follows: based on the data acquired by the infrared remote sensing instrument, the position of each 3 pixel points is taken as a coordinate, the position of each 3 pixel points is recorded and is used as a quotient with the next 3 pixel points, the obtained temperature quotient value is recorded as 1.5K1, all the pixel points are searched, 3 pixel points are taken as a group of data, a pixel point S larger than 1.5K1 is searched, when the continuous multi-group temperature data is larger than 1.5K1, the area is regarded as the position where the temperature is found, and the position is possibly provided with electric sparks.
The invention provides an early warning function for the conditions of sudden rise of local temperature and continuous and stable rise of temperature of the transformer substation, analyzes a large amount of data according to a temperature curve before the occurrence of the electric spark of the transformer substation, classifies the temperature characteristics of the transformer substation, and can rapidly alarm the abnormal temperature position.
Preferably, in A4, the method for setting the threshold is as follows: selecting a large number of images or images with suspected flames and sparks and other images without flames and sparks, calculating variances of the two types of images, determining a threshold value, enabling the number of the images with sparks exceeding the threshold value to be more than half, and enabling the number of the images with other types of non-flames to be less than half. When the calculated variance is larger than or equal to the set threshold, the electric spark exists in the image, otherwise, the electric spark does not exist.
Further preferably, in A5, the image histogram equalization processing uses newton iteration to update the threshold value for image processing.
Further preferably, in A6, an image of the suspected target range is cut out, and the Scharr operator is used for identifying and processing the image edge.
The invention also provides a method for identifying the electric spark image of the transformer substation, which comprises the steps of detecting all the surfaces of the transformer substation through a CCD, connecting the CCD with a control unit, uploading the image information and the temperature information obtained by CCD monitoring to the control unit and carrying out wireless communication, uploading the image information and the temperature information to a cloud server to find an accurate position, and giving an alarm. The control unit needs to perform the following steps:
1) And (3) receiving the required temperature parameter information, carrying out face-to-face comparison according to the obtained temperature parameter information, searching for a position with extremely high difference value between the temperature rise and the temperature of surrounding devices, and if the position is found, executing the next step, otherwise, continuing executing the step.
2) The CCD is used for amplifying the searched position, monitoring the position of the temperature rise in real time and forming an electric spark image.
3) And (3) transmitting the image back to a computer, and carrying out graying treatment on the image obtained in the last step by using an average value algorithm in MATLAB to obtain a gray image Q.
4) And comparing the calculated variance of the histogram with a set threshold, and executing the next step when the calculated variance is larger than or equal to the specified threshold, otherwise executing the step A1, wherein the threshold is suitable for distinguishing whether electric sparks exist in the obtained image.
5) And carrying out histogram equalization on the image Q to obtain an image N, and carrying out communication marking on the image N, wherein the obtained communication area is the suspected target range.
6) And intercepting the image of the suspected target range, and identifying and processing the image edge by utilizing a Sobel operator.
7) And comparing the picture processed in the previous step with the contour image of the electric spark in a similar or consistent way, finding out the position where the electric spark is released, uploading the obtained information to a cloud server through wireless communication, and sending an alarm to the outside.
Preferably, the CCD can cover aspects of a transformer substation and an in-out power transmission line.
Further preferably, the CCD is arranged on the rotatable cradle head, and the controller controls the cradle head to monitor the transformer substation in real time.
By adopting the technical scheme, the all-weather real-time monitoring of the substation is realized through the CCD, the condition that operators are injured is avoided, the condition that the robot cannot detect all-weather and the electric spark in the substation cannot be accurately detected due to a long distance is also solved, and the accuracy of monitoring the electric spark in the substation is greatly improved.
It will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. Embodiments and features of embodiments in this application may be combined with each other without conflict. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the detailed description of the embodiments of the present application is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Claims (2)
1. A method for identifying an electric spark image of a transformer substation, which is characterized by comprising the following steps: which comprises the following steps:
a1: monitoring the transformer substation by using a CCD, finding out the position where the electric spark occurs, extracting the needed temperature parameter information, and searching the position where the temperature is increased and has an extremely high difference value with the temperature of surrounding devices;
a2, amplifying the searched position by using a CCD, monitoring the position with the temperature rising in real time, and forming an electric spark image;
a3: transmitting the infrared image back to a computer, and carrying out graying treatment on the obtained electric spark image by using an average value algorithm in MATLAB to obtain a gray level image Q;
a4, calculating the histogram variance of the gray level image in the A3, and comparing the histogram variance with a set threshold value, wherein the threshold value is suitable for distinguishing whether electric sparks exist in the obtained image; when the calculated variance is greater than or equal to the specified threshold, executing the next step A5; otherwise, executing the step A1;
a5, carrying out histogram equalization on the gray level image Q to obtain an image N, and carrying out communication marking on the image N, wherein the obtained communication area is a suspected target range;
a6, intercepting an image of a suspected target range, and identifying and processing the edge of the image by using a Sobel operator;
a7, comparing the processed picture with the contour image of the electric spark and finding out a matched image, thereby determining the position for releasing the electric spark and sending an alarm to the outside;
the method for comparing and searching the position with the temperature rise and the temperature of the surrounding devices in a face-to-face mode according to the obtained temperature parameter information in A1 is as follows: based on the data acquired by the CCD, the positions of every 3 pixel points are taken as coordinates, the positions of every 3 pixel points are recorded and are used as quotient with the next 3 pixel points, and a temperature quotient is obtained; searching all pixel points, searching a pixel point S which is larger than the temperature quotient by taking 3 pixel points as a group of data, and when a plurality of groups of continuous temperature data are larger than the temperature quotient, determining the area as a position with high temperature;
the method for setting the threshold in A4 is as follows: selecting images of suspected flames and sparks and other non-flames and sparks, calculating variances of the two types of images to determine a threshold value, so that the number of the sparks exceeding the threshold value is more than half, and the number of the other types of non-flames is less than half;
and A5, updating a threshold value for image processing by adopting a Newton iteration method for image histogram equalization processing.
2. A method of identifying substation spark images as claimed in claim 1, wherein: carrying out face-to-face comparison according to the obtained temperature parameter information to find the position with temperature rise and extremely high difference value with the temperature of surrounding devices; when the position with extremely high difference value is found, executing the next step A2; otherwise, execution of A1 is continued.
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