Gamma transform-based high-voltage tower insulator disc surface gray image correction method

Abstract

The application discloses a high-voltage iron tower insulator disc surface gray scale image correction method based on gamma transformation, characterized by: an insulator monitoring device is built on the iron tower; a disc surface image a of the insulator and irradiation power w are acquired; the disc surface image a is pretreated; gamma transformation is conducted on a gray scale image b to obtain a corrected gray scale image. The method has the beneficial effects that: the monitoring device uniformly collects the disc surface image a, a processing system combines the disc surface image a and the irradiation power w, a processing mode of combining reference data and parameter variable data is realized, the workload of image processing is simplified, and the accuracy and rapidity of image processing are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of overhead transmission line online monitoring, in particular to a high-voltage tower insulator disc surface gray image correction method based on gamma transformation. BACKGROUND

[0002] The insulator is a special insulating control, which can play an important role in the overhead transmission line, and is widely used in high-voltage transmission towers. Dust particles in the atmosphere have always been a big problem for China's power transmission industry. In dusty or air-polluted areas, the insulator is exposed to the external environment for a long time, and dust pollutants are easy to deposit on the insulator, so that the surface contamination of the insulator increases. Domestic and foreign research shows that the increase of the surface contamination of the insulator is one of the main reasons for the decrease of the insulator flashover voltage and the occurrence of insulator pollution flashover accidents. Insulator pollution flashover is an operation accident in power system with large area damage capacity, which has wide occurrence area, long power outage time and low reclosing success rate, and seriously threatens the safe operation of power system. Therefore, monitoring the surface contamination of the insulator in key areas is of great significance for preventing pollution flashover accidents and ensuring the safe and stable operation of power system.

[0003] In the prior art, there is a lack of insulator contamination detection mechanism and detection method on the tower, and the insulator contamination detection is mainly based on manual detection, which has the disadvantages of low efficiency, high work intensity and high risk factors. On the other hand, manual detection can only collect the contamination condition on the detection day, and the accuracy and reliability of the detection need to be further improved. SUMMARY

[0004] Therefore, the purpose of the present application is to provide a high-voltage tower insulator disc surface gray image correction method based on gamma transformation, which can automatically and regularly detect the contamination of the insulator.

[0005] The technical scheme is as follows:

[0006] A high-voltage tower insulator disc surface gray image correction method based on gamma transformation, the key is:

[0007] Step one, an insulator monitoring device is built on the tower, and the camera of the insulator monitoring device faces the insulator disc surface;

[0008] The monitoring device is installed on the tower for a long time, the through hole of the detection box is opposite to the insulator, and the electric telescopic lens regularly extends outward, so that the insulator can be monitored online.

[0009] Step two, the insulator monitoring device acquires the disc surface image a and the irradiation power w of the insulator;

[0010] The light condition of the camera is determined by the natural environment, and the light irradiance is different at different time points. In order to obtain better processing effect, it is necessary to set it to a certain range in the detection environment, for example, it can be set in the range of 50W / m 2 ~ 150W / m 2 .

[0011] Step three, pre-processing the disc image a, sequentially performing image segmentation, image size standardization, morphological filtering, image graying, and generating a gray image b;

[0012] The image acquisition angle of the fixed monitoring device is artificially set to the effective disc image a size;

[0013] The watershed algorithm is used for disc image a segmentation;

[0014] The morphological filtering is mainly used to smooth the edge of the binary disc image a and fill the small holes in the binary disc image a, thereby making a mask, and using the mask to extract the disc gray image b, so that the extracted gray image b edge is relatively smooth;

[0015] Step four, setting the first order color moment standard value of the gray image b, performing gamma transformation on the gray image b, adjusting the gamma parameter until the first order color moment reaches the set standard value, and recording the current gamma parameter value;

[0016] Gamma correction of the gray image can adjust the brightness of the image. For the visible light image of the insulator taken at the same imaging distance and angle, the first order color moment of the gray image is used as the standard to adjust the gamma value, which can unify the collected insulator disc image to the same scale brightness range, greatly reducing the image processing error caused by light difference.

[0017] Step five, obtaining the disc image a of the insulator under different illuminance, and respectively generating the gray image b, taking the current gamma parameter value as the reference value, fitting to obtain the fitting model of the current gamma parameter value and the illuminance;

[0018] The fitting model of the irradiation power w and the gamma value is represented by , and the expression of gamma correction is: I = I γ , where I is the image gray value, I i represents the gray value of the i-th pixel, so the expression of image light correction is: Set the first order color moment of the corrected gray image to x, and x is the first order color moment standard value E avg .

[0019] Step six, obtaining the gray image b to be corrected and the illumination, inputting the fitting model, updating the current gamma parameter value, and using the updated current gamma parameter value to perform gamma transformation on the gray image b to obtain the corrected gray image.

[0020] The measured irradiance power w is calibrated by using the gamma correction parameter of the gray image, so that for a new image, only the irradiance power w obtained by the sensor is needed to perform fast correction, which is convenient for the controller to perform automatic correction.

[0021] The gray image of the insulator disc surface is corrected, and the first-order color moment of all obtained insulator disc surface gray images is corrected to a unified standard value. The first-order color moment of the obtained gray image is corrected to a unified standard value within the light irradiance calibration range, which can reduce the influence of the difference in light irradiance in this range and improve the accuracy of subsequent image contamination feature extraction, thereby ultimately improving the accuracy of the contamination degree recognition model.

[0022] The insulator monitoring device comprises a detection box, an image acquisition unit is installed inside the detection box, one side of the detection box is provided with a through hole, the image acquisition unit comprises an electric telescopic lens combination, the electric telescopic lens combination is composed of a camera and an irradiance sensor, and the electric telescopic lens combination can extend out of the detection box from the through hole; a clamping mechanism is arranged at the bottom of the detection box, and the clamping mechanism is used for fixed connection with the iron tower; the image acquisition unit is connected with a controller.

[0023] A sliding door is slidably installed at the position of the through hole of the detection box, a driver is arranged between the sliding door and the detection box, and the controller drives the sliding door to close the through hole or expose the through hole through the driver;

[0024] The driver comprises a motor installed in the detection box, a gear installed on the output shaft of the motor, and a rack installed on the sliding door, and the gear is engaged with the rack;

[0025] The sliding door is installed on the side wall inside the detection box; guide grooves (1c) with a thickness corresponding to the thickness of the sliding door are arranged at the top and bottom of the detection box, and the lower end of the sliding door (4) is supported in the guide grooves through rollers;

[0026] The through hole is a circular hole, and the diameter of the through hole is greater than the diameter of the electric telescopic lens combination.

[0027] The sliding door structure protects the components in the detection box, especially the electronic components, from being damp, the detection box (1) is a conductor, and is effectively grounded through the iron tower, thereby also playing a shielding role. The controller wakes up the system to work at regular time during the day, thereby achieving an effective energy-saving effect.

[0028] The controller can also be connected with a humidity sensor, and information acquisition is suspended when the humidity is too high in rainy days.

[0029] The clamping mechanism comprises an upper support plate and a lower support plate, the upper support plate and the lower support plate are connected through four groups of bolts (6d), and an adjusting assembly is arranged between the upper support plate and the detection box, the adjusting assembly (6c) is used for adjusting the installation height and the installation angle of the detection box;

[0030] The adjusting assembly comprises four screw rods, the four screw rods are distributed in a rectangular shape between the detection box and the upper support plate, positioning nuts and locking nuts are sleeved on the screw rods, and upper ends of the screw rods are rotationally connected to the bottom of the detection box; and the upper support plate is clamped between the positioning nuts and the locking nuts.

[0031] The upper support plate is provided with an assembly hole (6a1) at the position corresponding to the screw rod, and the assembly hole (6a1) is a strip-shaped hole.

[0032] The upper support plate is provided with a ball head (6a2) protruding upward in the middle, and the bottom of the detection box is provided with a ball hinge seat matched with the ball head.

[0033] For different tower structures and insulator installation positions, the detection box can be adjusted at the initial installation stage, and after the data acquisition angle is adjusted, the detection box acquisition visual angle and distance can be locked and fixed.

[0034] The detection box is provided with an antenna, and the antenna is connected with the communication module.

[0035] In step three, the watershed algorithm is used for segmentation of the disc surface image a, and the segmentation principle is as follows

[0036] S1. Sort all pixels in the image according to the image gray value;

[0037] S2. Take the smallest gray value as the starting point, which is also the initial threshold value;

[0038] S3. Increase the threshold value by S1 in each iteration, if another local minimum point is found, add it to the minimum point list, then calculate the Euclidean distance with other existing minimum points, otherwise, calculate the Euclidean distance between the point and the existing minimum point list;

[0039] S4. Repeat S3 until all pixel points are classified into "basin" regions, or the threshold value exceeds the maximum gray value.

[0040] In step four, the determination method of the first-order color moment standard value is as follows:

[0041] In the set light irradiance range, the insulators with different dirt accumulation degrees are used for calibration test in advance, and the average value of the first-order color moment of the insulator disc surface gray image with different dirt accumulation degrees is obtained as the standard value, and the expression of the first-order color moment of the gray image is:

[0042]

[0043] Wherein E represents a first-order color moment, n represents the total number of pixels, and Pi represents the gray value of the i-th pixel.

[0044] The expression of the first-order color moment standard value of the extracted field insulator disc surface gray image group is:

[0045]

[0046] Wherein E avg represents a first-order color moment standard value, E m represents the first-order color moment of the m-th calibration gray image, and in the formula, m represents the total number of images participating in the calibration test, each image has a first-order color moment, and the first-order color moments of all images are averaged to obtain the standard value.

[0047] The first-order color moment of the gray image after gamma correction is:

[0048]

[0049] In the fifth step, the irradiation power w and the gamma value are in a linear relationship, The specific expression is gamma=c1w 3 +c2w 2 +c3w+c4 (c1, c2, c3, and c4 are coefficients), and C series are constants.

[0050] The controller completes the work of steps three to six, and sends the gray image after gamma transformation correction to the cloud through the communication module.

[0051] The controller sends the disc surface image a and the irradiation power w to the cloud through the communication module, and the server of the cloud completes the work of steps three to six.

[0052] The beneficial effects of the present application are:

[0053] The monitoring device is installed on a high-voltage iron tower for a long time, has technical advantages such as convenient installation, adjustable height and angle, etc. The through hole of the detection box is opposite to the insulator, after the sliding door is automatically opened by the driving mechanism, the internal electric telescopic lens is extended outward to perform online monitoring on the insulator. Through online monitoring, technical problems such as low efficiency, high work intensity, and high risk factors of manual detection are solved.

[0054] Through on-line monitoring, the contamination degree of the insulator in operation, i.e. the salt density value and the ash density value of the insulator, can be mastered, and comparison is made according to the relevant standards to determine whether the insulator can continue to withstand various adverse factors. If either or both of the salt density value and the ash density value reaches or exceeds the critical level, relevant measures are taken to ensure the safety and stability of the power grid operation.

[0055] The monitoring device collects the consistency of the disc surface image a for a long period of time, and the processing system combines the disc surface image a and the irradiation power w to realize the processing mode of combining the reference data and the parameter variable data, thereby simplifying the workload of image processing and improving the accuracy and speed of image processing. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 Fig. 1 is a structural schematic view of an insulator contamination on-line monitoring device;

[0057] Figure 2 Fig. 3 is a sectional view of the on-line monitoring device at the position of the electric telescopic lens 2;

[0058] Figure 3 Fig. 4 is a sectional view of the on-line monitoring device at the position of the ball head 6a2 and the ball hinge base 1b;

[0059] Figure 4 Fig. 5 is a partial schematic view showing the working principle of the driving mechanism 5;

[0060] Figure 5 Fig. 6 is a reference view of the use state of the monitoring device;

[0061] Figure 6 Fig. 7 is a processing effect image of the disc surface of the insulator at each stage of the present application;

[0062] Figure 7 Fig. 8 is a circuit structure diagram of the monitoring device. DETAILED DESCRIPTION

[0063] The present application will be further described below in combination with embodiments and drawings.

[0064] As shown in Figure 1 , 5 , Figure 7 , the monitoring device is fixed on the iron tower, so that the camera is kept at a certain distance, for example 3-5 meters, from the center of the insulator to be measured, and at a certain angle, for example 45-60 degrees, from the central axis of the insulator, so as to obtain a clear visible light image of the insulator;

[0065] The detection box is used to protect the entire monitoring device and realize the functions of waterproofing and dustproofing. The electric control door is controlled by the controller through the motor, and is opened when the monitoring data is needed and closed when the monitoring data is not needed.

[0066] An irradiance sensor is mounted next to the camera lens to obtain the intensity of photons reflected from the insulator surface at the same level as captured by the camera; a positioning module, such as GPS or BeiDou, is used for wireless communication with the control center to obtain the location of the monitoring device. This allows for accurate feedback on the pollution accumulation on insulators at a specific geographical location. By deploying sampling points in multiple geographical locations, a monitoring network can be formed to achieve regional coverage.

[0067] The controller is the core of the monitoring device. It has built-in control and data processing programs, which are used to control the opening and closing of the protective cover's electric door, control the acquisition of irradiance sensor data, control the camera to capture visible light images of the insulator and calculate the pollution level of the insulator panel, and control the operation of the positioning module and communication module.

[0068] Communication modules, such as GPRS, are used for wireless communication with the cloud, sending and receiving commands and data. The monitoring device measures surface contamination data of the insulators and feeds back the location information and contamination data to the cloud via the communication module.

[0069] A method for grayscale image correction of insulator discs on high-voltage iron towers based on gamma transform.

[0070] Step 1: Install an insulator monitoring device on the tower, with the camera of the insulator monitoring device facing the insulator panel.

[0071] Step 2: The insulator monitoring device acquires the insulator's disc image a and irradiation power w;

[0072] Step 3: Preprocess the disk image a by performing image segmentation, image size standardization, morphological filtering, and image grayscale conversion to generate grayscale image b.

[0073] The image acquisition angle of the fixed monitoring device is set manually, and the size of the effective panel image a is manually set.

[0074] The watershed algorithm is used to segment the disk image 'a'; the segmentation principle is as follows:

[0075] S1. Sort all pixels in the image according to their grayscale values;

[0076] S2. Take the smallest gray value as the starting point, which is also the initial threshold;

[0077] S3. Increase the threshold by adding S1 in each iteration. If another local minimum is found, add it to the list of minimum points and then calculate the Euclidean distance between it and other existing minimum points. Otherwise, calculate the Euclidean distance between the point and the list of existing minimum points.

[0078] S4. Repeat S3 until all pixels are classified into the "basin" region, or the threshold exceeds the maximum gray value.

[0079] Wherein the morphological filtering is mainly used for smoothing the edge of the binary disc image a, filling the small holes in the interior of the binary disc image a, thereby making a mask, and using the mask to extract the gray scale image b of the disc surface, so that the edge of the extracted gray scale image b is relatively smooth;

[0080] Step four, setting the first-order color moment standard value of the gray scale image b, performing gamma transformation on the gray scale image b, adjusting the gamma parameter until the first-order color moment reaches the set standard value, and recording the current gamma parameter value;

[0081] The determination method of the first-order color moment standard value is:

[0082] In the set light irradiance range, the first-order color moment average value of the disc surface gray scale image of the insulator with different dirt accumulation degrees is obtained as the standard value by using the insulators with different dirt accumulation degrees for calibration test in advance, and the expression of the first-order color moment of the gray scale image is:

[0083]

[0084] Wherein E represents the first-order color moment, n represents the total number of pixels, and Pi represents the gray scale value of the i-th pixel;

[0085] The first-order color moment standard value of the extracted on-site insulator disc surface gray scale image group is expressed as:

[0086]

[0087] Wherein E avg represents the first-order color moment standard value, E m represents the first-order color moment of the m-th calibration gray scale image, and in the formula, m represents the total number of images participating in the calibration test, each image has a first-order color moment, and the average value of the first-order color moments of all images is taken as the standard value;

[0088] The first-order color moment of the gray scale image after gamma correction is:

[0089]

[0090] Step five, obtaining the disc surface image a of the insulator under different illuminations, and generating the gray scale image b respectively, taking the current gamma parameter value as the reference value, fitting to obtain the fitting model of the current gamma parameter value and the illumination;

[0091] The fitting model of the irradiation power w and the gamma value is represented by , and the expression of the gamma correction is: I=I γ , wherein I is the image gray scale value, I i represents the gray scale value of the i-th pixel, and P i =Ii Therefore, the expression of the image light correction is: The first-order color moment of the corrected gray image is x, and x is the first-order color moment standard value E avg In this embodiment, x is set to 0.4.

[0092] The irradiation power w and the value of gamma are in a linear relationship, The specific expression is gamma = c1w + c2w + c3w + c4 (c1, c2, c3, and c4 are coefficients), and C series are constants. 3 2

[0093] As shown in Figure 6 Step six, the gray image to be corrected b and the illumination are obtained, the fitting model is input, the current gamma parameter value is updated, and the gray image b is subjected to gamma transformation to obtain the corrected gray image by using the updated current gamma parameter value.

[0094] As shown in Figure 1 The monitoring device for insulators includes a detection box 1, an image acquisition unit 3 is installed inside the detection box 1, one side of the detection box 1 is provided with a through hole 1a, the image acquisition unit 3 includes an electric telescopic lens combination 2, the electric telescopic lens combination 2 is composed of a camera and an irradiance sensor, and the electric telescopic lens combination 2 can extend out of the detection box 1 from the through hole 1a; a clamping mechanism 6 is arranged at the bottom of the detection box 1, and the clamping mechanism 6 is used for fixedly connecting with a tower; and the image acquisition unit 3 is connected with a controller.

[0095] A sliding door 4 is slidably installed at the position corresponding to the through hole 1a of the detection box 1, a driver 5 is arranged between the sliding door 4 and the detection box 1, and the controller drives the sliding door 4 to close the through hole 1a or expose the through hole 1a through the driver 5;

[0096] As shown in Figure 2 , 3 , 4, the driver 5 includes a motor 5a installed inside the detection box 1, a gear 5b installed on the output shaft of the motor 5a, and a rack 5c installed on the sliding door 4, and the gear 5b is engaged with the rack 5c.

[0097] The sliding door 4 is installed on the side wall inside the detection box 1; guide grooves 1c with a thickness corresponding to the thickness of the sliding door 4 are arranged at the top and the bottom of the detection box 1, and the lower end of the sliding door 4 is slidably supported in the guide grooves 1c through rollers 4a.

[0098] The through hole 1a is a circular hole, and the diameter of the through hole 1a is greater than the diameter of the electric telescopic lens combination 2.

[0099] ​​The clamping mechanism 6 comprises an upper support plate 6a and a lower support plate 6b, the upper support plate 6a and the lower support plate 6b are connected through four groups of bolts 6d, and the upper support plate 6a is provided with an adjusting assembly 6c between the detection box 1, the adjusting assembly 6c is used for adjusting the installation height and the installation angle of the detection box 1;

[0100] The adjusting assembly 6c comprises four screw rods 6c1, the four screw rods 6c1 are distributed in a rectangular shape between the detection box 1 and the upper support plate 6a, the screw rod 6c1 is sleeved with a positioning nut 6c2 and a locking nut 6c3, and the upper end of the screw rod 6c1 is rotationally connected to the bottom of the detection box 1, and the upper support plate 6a is clamped between the positioning nut 6c2 and the locking nut 6c3.

[0101] The upper support plate 6a is provided with an assembly hole 6a1 at the position corresponding to the screw rod 6c1, and the assembly hole 6a1 is a strip-shaped hole.

[0102] The upper support plate 6a is provided with a ball head 6a2 protruding upward in the middle, and the bottom of the detection box 1 is provided with a ball hinge seat 1b matched with the ball head 6a2.

[0103] The detection box 1 is provided with an antenna 7.

[0104] The gamma transformation correction work on the disc surface gray scale image can be completed by the controller, and the gray scale image corrected by the gamma transformation is sent to the cloud through the communication module.

[0105] The gamma transformation correction work on the disc surface gray scale image can also be completed by the server in the cloud, and the controller sends the disc surface image a and the irradiation power w to the cloud through the communication module.

[0106] The maintenance personnel can determine the pollution degree of the insulator according to the corrected gray scale image, and determine whether to perform cleaning and maintenance.

[0107] The above description is not a limitation of the present application, and the present application is not limited to the above examples, and the changes, modifications, additions or replacements made by the ordinary skilled in the art within the essential scope of the present application should also belong to the protection scope of the present application.

Claims

1. A gamma transformation-based high-voltage tower insulator disc surface gray image correction method, characterized by: Step one, build an insulator monitoring device on the tower, and the camera of the insulator monitoring device faces the insulator disc surface; Step two, the insulator monitoring device acquires the disc surface image a and the irradiation power w of the insulator; Step three, pre-process the disc surface image a, and sequentially perform image segmentation, image size standardization, morphological filtering, and image graying to generate a gray image b; Fix the image acquisition angle of the monitoring device and artificially set the effective disc surface image a size; Step four, set the first order color moment standard value E of the gray image b avg Gamma transform the gray image b, adjust the gamma parameter until the first order color moment reaches the set standard value, and record the current gamma parameter value; Step five, acquire the disc surface images a of the insulator under different illuminations, and generate gray images b respectively, take the current gamma parameter value as the reference value, perform fitting to obtain the fitting model of the current gamma parameter value and the illumination; The fitting model of the irradiation power w and the gamma value is represented by The expression of the gamma correction is: I = I γ , wherein I is the image gray value, I i represents the gray value of the i-th pixel, and the expression of the image illumination correction is: The first-order color moment of the corrected gray image is set to x, and x is the first-order color moment standard value E avg ; Step six, input the gray image b to be corrected and the illumination into the fitting model, update the current gamma parameter value, and perform gamma transformation on the gray image b using the updated current gamma parameter value to obtain the corrected gray image.

2. The gamma transformation based high voltage tower insulator disc surface gray image correction method according to claim 1, characterized in that: The insulator monitoring device comprises a detection box (1), an image acquisition unit (3) is installed inside the detection box (1), one side of the detection box (1) is provided with a through hole (1a), the image acquisition unit (3) comprises an electric telescopic lens combination (2), the electric telescopic lens combination (2) is composed of a camera and an irradiance sensor, and the electric telescopic lens combination (2) can extend out of the detection box (1) from the through hole (1a); a clamping mechanism (6) is arranged at the bottom of the detection box (1), the clamping mechanism (6) is used for fixed connection with the tower, and the image acquisition unit (3) is connected with a controller.

3. The gamma transformation based high voltage tower insulator disc surface gray image correction method according to claim 2, characterized in that: A sliding door (4) is slidably installed at the position corresponding to the through hole (1a) of the detection box (1), a driver (5) is arranged between the sliding door (4) and the detection box (1), and the controller drives the sliding door (4) to close the through hole (1a) or expose the through hole (1a) through the driver (5); The driver (5) comprises a motor (5a) installed inside the detection box (1), a gear (5b) installed on the output shaft of the motor (5a), and a rack (5c) installed on the sliding door (4), and the gear (5b) is engaged with the rack (5c); The sliding door (4) is installed on the side wall inside the detection box (1); guide grooves (1c) with a thickness corresponding to that of the sliding door (4) are arranged at the top and bottom of the detection box (1), and the lower end of the sliding door (4) is slidably supported in the guide grooves (1c) through rollers (4a); The through hole (1a) is a circular hole, and the diameter of the through hole (1a) is greater than the diameter of the electric telescopic lens combination (2).

4. The gamma transformation based high voltage tower insulator disc surface gray scale image correction method according to claim 2, characterized in that: The clamping mechanism (6) comprises an upper support plate (6a) and a lower support plate (6b), the upper support plate (6a) and the lower support plate (6b) are connected through four groups of bolts (6d), an adjusting assembly (6c) is arranged between the upper support plate (6a) and the detection box (1), and the adjusting assembly (6c) is used for adjusting the installation height and installation angle of the detection box (1). The adjusting assembly (6c) comprises four screw rods (6c1), the four screw rods (6c1) are distributed in a rectangular shape between the detection box (1) and the upper supporting plate (6a), the screw rods (6c1) are all sleeved with a positioning nut (6c2) and a locking nut (6c3), the upper ends of the screw rods (6c1) are rotationally connected to the bottom of the detection box (1), and the upper supporting plate (6a) is clamped between the positioning nut (6c2) and the locking nut (6c3); The upper supporting plate (6a) is provided with an assembly hole (6a1) at the position corresponding to the screw rod (6c1), and the assembly hole (6a1) is a strip-shaped hole; The middle part of the upper supporting plate (6a) is provided with a ball head (6a2) protruding upward, and the bottom of the detection box (1) is provided with a ball hinge base (1b) matched with the ball head (6a2).

5. The gamma transformation based high voltage tower insulator disc surface gray scale image correction method according to claim 2, characterized in that: The detection box (1) is provided with an antenna (7).

6. The gamma transformation based high voltage tower insulator disc surface gray scale image correction method according to claim 1, characterized in that, In step three, the watershed algorithm is used for segmentation of the disc image a, and the segmentation principle is as follows: S1. According to the image gray value, all the pixels in the image are sorted; S2. The smallest gray value is taken as the starting point, which is also the initial threshold value; S3. The threshold value is increased by S1 in each iteration, if another local minimum point is found, it is added to the minimum point list, then the Euclidean distance with other existing minimum points is calculated, otherwise, the Euclidean distance between the point and the existing minimum point list is calculated; S4. Repeat S3 until all pixel points are classified into "basin" regions, or the threshold value exceeds the maximum gray value.

7. The gamma transformation based high voltage tower insulator disc surface gray scale image correction method according to claim 1, characterized in that, In step four, the determination method of the first-order color moment standard value: In the set light irradiance range, the insulators with different pollution degrees are used for calibration test in advance, and the average value of the first-order color moment of the insulator disc surface gray image with different pollution degrees is obtained as the standard value, and the expression of the first-order color moment of the gray image is: Wherein E represents the first-order color moment, n represents the total number of pixels, and Pi represents the gray value of the i-th pixel; The first-order color moment standard value of the field insulator disc surface gray image group is expressed as: wherein E avg represents the first-order color moment standard value, E m represents the first-order color moment of the m-th calibration gray scale image, wherein m represents the total number of images participating in the calibration test, each image has a first-order color moment, and the first-order color moments of all images are added together to obtain an average value as the standard value; The first-order color moment of the gray image after gamma correction is:

8. The gamma transformation based high voltage tower insulator disc surface gray scale image correction method according to claim 1, characterized in that, In step five, the irradiation power w has a linear relationship with the γ value. The specific expression is γ = c1w 3 +c2w 2 +c3w+c4 (c1,c2,c3,c4 are coefficients), and all C series are constants.

9. The gamma transformation based high voltage tower insulator disc surface gray image correction method according to any one of claims 2-5, characterized in that, The controller completes the work of steps three to six, and sends the gray image after gamma transformation correction to the cloud through the communication module.

10. The method according to any one of claims 2-5, wherein the method is a gamma transformation based high voltage tower insulator disc surface gray scale image correction method. The controller sends the disc image a and the irradiation power w to the cloud through the communication module, and the server of the cloud completes the work of steps three to six.

Images