A distribution network single-phase grounding fault monitoring system and method

Abstract

The present invention discloses a distribution network single-phase grounding fault monitoring system and method, relating to the technical field of distribution network fault monitoring. The system comprises: an acquisition unit configured to obtain a line image based on an acquisition device; an analysis unit configured to obtain a plurality of lines based on the line image, and obtain the number of all the lines; determine whether the number of lines is equal to a preset number; obtain a plurality of sub-images based on the line image, and obtain a first coordinate of an airborne object based on first pixel values ​​of all the sub-images; obtain a first direction of all the lines, and obtain a second coordinate of an abnormal line based on all the first directions; obtain a first distance between any two adjacent lines, and obtain a third coordinate of a missing line based on all the first distances; obtain a prediction result based on the first coordinates, the second coordinates, or the third coordinates, and obtain a fault point based on the prediction result; and a processing unit configured to respond to and process the fault point based on a data platform. This system can solve the problem that single-phase grounding faults caused by tree obstacles and airborne objects in the distribution network during non-manual regular inspections can only be processed after the single-phase grounding fault occurs.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network fault monitoring, and in particular to a distribution network single-phase grounding fault monitoring system and method. Background Art

[0002] Single-phase grounding refers to single-phase grounding in a 10kV (35kV) low-current grounding system. Single-phase grounding faults are the most common fault in power distribution systems and often occur in humid and rainy weather. They are caused by a variety of factors, including tree obstructions, single-phase breakdown of insulators on distribution lines, single-phase line breaks, and damage from small animals. However, if objects such as balloons or kites become attached or entangled and touch high-voltage lines, they can cause electric shock. Short circuits caused by foreign objects can also cause high-voltage lines to trip, and discharges can occur, causing objects to burn and spark fires. Direct or indirect contact between tree branches and wires can cause short circuits, potentially leading to serious consequences such as fires or melting. Branches can scratch the insulation of wires, potentially releasing current and creating a shock hazard. Branches can also fall on open circuit breakers, disrupting their normal operation and causing unexpected current leakage.

[0003] At present, manual regular inspection and treatment are generally adopted for tree obstacles, balloons, kites and other objects. However, this method consumes manpower and material resources, and during the non-inspection period, it can only be handled after a ground fault occurs. On the one hand, it makes the workload of locating the fault section cumbersome, and on the other hand, it is easy to cause large-scale power outages for users and further aggravate the severity of the accident. Summary of the Invention

[0004] In order to solve the problem that single-phase grounding faults in the distribution network caused by tree obstacles, balloons, kites, and other objects during non-manual regular inspections can only be handled after the single-phase grounding fault occurs, resulting in cumbersome fault section location and large-scale power outages for users, the present invention provides a distribution network single-phase grounding fault monitoring system, the system comprising:

[0005] Acquisition unit: used to obtain line images based on acquisition equipment;

[0006] An analysis unit is configured to predict a line fault on a power distribution line based on the line image, obtain a prediction result, and obtain a fault point based on the prediction result;

[0007] Processing unit: used for responding to the fault point based on the data platform;

[0008] The analysis unit comprises:

[0009] An acquisition unit is configured to acquire a plurality of lines between any two adjacent pole towers based on the line image, and acquire the number of all the lines between the two adjacent pole towers;

[0010] a judgment unit configured to judge whether the number of lines is equal to a preset number; if the number of lines is equal to the preset number, obtaining first coordinates of a number of airborne objects based on the airborne object unit; if the number of lines is greater than the preset number, obtaining second coordinates of a number of abnormal lines based on the abnormality unit; and if the number of lines is less than the preset number, obtaining third coordinates of a number of missing lines based on the missing unit;

[0011] The airborne object unit is configured to divide the route image into a plurality of sub-images, obtain first pixel values ​​of all the sub-images to obtain all the airborne objects, and obtain coordinates of all the airborne objects to obtain all the first coordinates;

[0012] The abnormal unit is configured to obtain the first directions of all the lines, obtain all the abnormal lines based on all the first directions, and obtain the coordinates of all the abnormal lines to obtain all the second coordinates;

[0013] The missing unit is configured to obtain a first distance between any two adjacent lines, obtain all the missing lines based on all the first distances, and obtain the coordinates of all the missing lines to obtain all the third coordinates;

[0014] A result unit is configured to obtain the prediction result based on all the first coordinates, all the second coordinates, or all the third coordinates.

[0015] Airborne objects refer to balloons floating on distribution lines and surrounding areas that may affect the safety of the lines, as well as blocks, strips, banners, nets, bags, films and other objects made of various materials that are easily blown by the wind.

[0016] The principle of this system is to obtain a number of lines between any two adjacent towers through line images, make a preliminary judgment based on the number of lines, and then make further judgments based on the difference in the number. It can identify and locate floating objects, tree obstacles and line breaks. It can predict possible single-phase grounding faults and locate the fault point, so as to notify relevant personnel to deal with it, reduce the occurrence of single-phase grounding faults, reduce the workload of locating the fault section, and reduce the problem of large-scale power outages for users.

[0017] The color of an airborne object is usually inconsistent with the color of the power line. Because the airborne object is entangled in the power line, it is close to the power line, and birds generally do not stay at the same point on the power line for a long time. Considering that if the airborne object is the same color as the power line, and each line in the power transmission line has a transmission line and a traction line, an insulating rod or wire will be connected to the traction line to support or pull the transmission line. The rod or wire has an appropriate overhang arc to reduce the traction tension of the line, which can easily be mistaken for an airborne object. This system introduces connection points for judgment. If it is the insulating rod or wire, it will have two corresponding connection points with the traction line and the power line. If there are no extension lines at these connection points, there are only three connection lines at this point. Therefore, this system identifies airborne objects based on the above differences.

[0018] Furthermore, in the airborne object unit, a specific method for obtaining the first pixel values ​​of all the sub-images to obtain the plurality of airborne objects is as follows: determining whether a foreign object exists based on all the first pixel values; if so, obtaining a second distance between the foreign object and all the lines; obtaining a minimum of the second distances to obtain a third distance; determining whether the third distance is less than or equal to a first preset distance; if the third distance is less than or equal to the first preset distance, obtaining a continuous residence time of the foreign object; determining whether the continuous residence time is greater than a preset time; and obtaining the airborne object based on the foreign object if the continuous residence time is greater than the preset time.

[0019] If the foreign object does not exist, a number of transverse lines in a first preset direction are obtained based on all the lines, a number of first connection points between each transverse line and all the lines are obtained, the number of connection points of each transverse line is obtained based on all the first connection points, and it is determined whether the number of connection points is equal to 2. If not, the transverse lines are obtained to obtain the airborne object. If so, two second connection points corresponding to the number of connection points are obtained, the number of connection lines of each second connection point is obtained, and it is determined whether the number of connection lines is equal to 3. If not, the airborne object is obtained based on all the second connection points.

[0020] If there are excess lines, there may be situations where the line is broken and rests on the crossarm or branches fall on the line, and the conductors or guy wires connecting the two lines are usually perpendicular to the distribution lines. However, the directions of the lines or branches in the above cases are usually messy and not perpendicular to the distribution lines. A preliminary judgment can be made based on the abnormal direction. If the direction is normal, considering that the conductors or guy wires are usually close to the pole tower, the judgment can be made based on the distance between the line and the pole tower.

[0021] Furthermore, in the abnormal unit, a specific method for obtaining a plurality of abnormal lines based on all the first directions is: judging whether an abnormal direction exists based on all the first directions, and if so, obtaining a plurality of first lines corresponding to the abnormal direction, and obtaining all the abnormal lines based on all the first lines; if no abnormal direction exists, obtaining a plurality of second lines in a second preset direction, obtaining a fourth distance between all the second lines and a preset target object, obtaining a plurality of third lines of abnormal distances based on all the fourth distances, and obtaining all the abnormal lines based on all the third lines.

[0022] If the number of lines is missing, there will be a short line situation. If the distance between the lines is relatively consistent, you can judge whether the line in the middle is missing by the interval distance. If it is consistent, it means that the lines on both sides are broken. You can set a base point and judge the distance between it and the base point to further determine the position of the missing line.

[0023] Furthermore, in the missing unit, a specific method for obtaining several missing lines based on all the first distances is: determining whether all the first distances are greater than a preset interval distance; if so, obtaining all the missing lines based on all the first distances; if not, based on a preset base point, obtaining the fifth distance between all the lines and the base point; and obtaining all the missing lines based on all the fifth distances.

[0024] Considering that birds may build nests on transmission towers, and fly over the lines or between conductors with objects such as branches, loose grass, vines, ropes, tapes, and wires in their mouths, and when these objects fall between the crossarms and the conductors, line faults may occur. In addition, when it is windy, bird nests on towers may be blown away and fall onto live conductors or hanging bottles, causing short circuits and grounding faults. This system takes the bird nest factor into account.

[0025] Furthermore, the analysis unit also includes a bird's nest unit, which is used to: decolorize the line image to obtain a first image, obtain several pole towers based on the first image, obtain several bird's nests based on all the pole towers, obtain fourth coordinates of all the bird's nests, obtain a first prediction result based on all the fourth coordinates, obtain a first fault point based on the first prediction result, and transmit the first fault point to the processing unit for response processing.

[0026] Considering that bird nests are usually located in the area where the lines and towers intersect, and bird nests are usually composed of objects such as branches, loose grass, vines, ropes, tapes, and metal wires, they are irregular, with dense and messy lines. Therefore, this system uses the above factors to identify bird nests.

[0027] Furthermore, a specific method for obtaining several bird's nests based on all the towers is: obtaining several fourth lines based on the first image, obtaining several third connection points based on all the fourth lines and all the towers, obtaining areas of all the third connection points within a first preset range, obtaining several first areas, obtaining the number of area lines of all the first areas, and determining whether the number of lines of all the areas is greater than the preset number of lines of the areas. If so, obtaining the first area to obtain all the bird's nests.

[0028] Considering that the excrement of birds around their nests will contaminate the insulators below, causing the hidden danger of dirty flashover, which will have a serious impact on the normal operation of the transmission line, and that when bird droppings fall, they may drip onto the insulators and continue to accumulate. After a long period of gradual accumulation on the insulators, the bird droppings form an effective covering on the insulator sheds. In a humid climate, the bird droppings on the insulator surface become damp, causing surface flashover. This system incorporates the impact of bird droppings on the insulator.

[0029] Furthermore, the analysis unit also includes a guano unit, which is used to: obtain a number of insulators based on all the towers, obtain a number of abnormal insulators based on all the insulators, obtain the fifth coordinates of all the abnormal insulators, obtain a second prediction result based on all the fifth coordinates, obtain a second fault point based on the second prediction result, and transmit the second fault point to the processing unit for response processing.

[0030] Furthermore, a specific method for obtaining several abnormal insulators based on all the insulators is as follows: obtaining the second pixel value of each of the insulators, obtaining several sub-regions of each of the insulators based on all the second pixel values, obtaining the number of regions of each of the insulators based on all the sub-regions, judging whether each number of regions is less than a preset number of regions, if so, obtaining the first area of ​​all the sub-regions, obtaining the sub-region corresponding to the minimum first area to obtain several first abnormal regions, obtaining the first color of each of the first abnormal regions, judging whether the first color is the same as the first preset color range, if so, obtaining a first abnormal insulator based on the first abnormal region, and obtaining all the abnormal insulators based on all the first abnormal insulators.

[0031] Considering that insulators come in many colors, and bird droppings are usually white, black-green, or a combination thereof, we first make a preliminary judgment on the color of the insulator. If it is a color other than the preset colors such as white, black-green, etc., the bird droppings are more obvious, and its coverage area can be directly obtained. We do not then judge whether it is black-green. If it is, the area is obtained, and there are many areas. Birds do not have external urination organs. Urine and feces are discharged through the only cloaca after water is reabsorbed, appearing as a white section and a black-green section. The black-green is the residue after food digestion, and the white is uric acid. When it falls on the insulator, uric acid is mostly dilute because it is urine, and usually splashes on the black-green. There is usually a circle of white around the black and green areas, so whether the distance between the two black and green areas is less than the preset distance, if it is less, the white parts of the two areas should have overlapped or are close to each other, and are considered to be covered, so as to calculate the coverage area; and if the number of black and green areas is small, then considering the case where some bird droppings contain only urine, it will be white crystals after drying, and its color is different from the color of the insulator, then the color of the area around the black and green areas is obtained, and it is compared with the color of other areas to obtain the area with only white bird droppings, so as to calculate the coverage area; considering the case where the bird droppings are only white, its color is directly obtained, and its coverage area is judged by the color.

[0032] Furthermore, if the number of regions is greater than or equal to the preset number of regions, a specific method for obtaining a number of abnormal insulators based on all the insulators further includes: obtaining a second color of each of the sub-regions, determining whether all the second colors are within a second preset color range, and if so, determining whether all the second colors contain a first preset color; if so, obtaining a region corresponding to the first preset color, obtaining a number of second abnormal regions, obtaining the number of abnormalities of all the second abnormal regions, determining whether the number of abnormalities is greater than a preset abnormal number, and if so, obtaining an abnormal distance between any two adjacent second abnormal regions, determining whether the abnormal distance is less than a preset abnormal distance, and if so, merging the two adjacent second abnormal regions to obtain a number of third abnormal regions; if the abnormal distance is greater than or equal to the preset abnormal distance, obtaining a number of fourth abnormal regions based on the two adjacent second abnormal regions, obtaining a first abnormal proportion based on the first area of ​​all the third abnormal regions and the second area of ​​all the fourth abnormal regions, determining whether the first abnormal proportion is greater than a preset proportion, and if so, obtaining all the abnormal insulators based on the first abnormal proportion;

[0033] If the number of abnormalities is less than or equal to the preset number of abnormalities, several first to-be-determined areas are obtained from areas other than the second abnormal area, first to-be-determined color values ​​of all the first to-be-determined areas are obtained, first color values ​​are obtained based on a second preset range and all the second abnormal areas, and it is determined whether the first to-be-determined color value is equal to the first color value. If they are the same, the first to-be-determined area corresponding to the first color value is obtained, several fifth abnormal areas are obtained, several sixth abnormal areas are obtained based on all the second abnormal areas and all the fifth abnormal areas, a second abnormal proportion is obtained based on the third area of ​​the sixth abnormal area, and it is determined whether the second abnormal proportion is greater than the preset proportion. If so, all the abnormal insulators are obtained based on the second abnormal proportion.

[0034] If the first preset color does not exist in all the second colors, obtaining the second color values ​​of all the sub-areas, obtaining a seventh abnormal area based on all the second color values ​​and the preset color value, obtaining a third abnormal proportion based on the fourth area of ​​the seventh abnormal area, determining whether the third abnormal proportion is greater than the preset proportion, and if so, obtaining all the abnormal insulators based on the third abnormal proportion;

[0035] If all of the second colors are not entirely within the second preset color range, an eighth abnormal area is obtained based on all of the second colors and the preset colors, and a fourth abnormal proportion is obtained based on the fifth area of ​​the eighth abnormal area. It is determined whether the fourth abnormal proportion is greater than the preset proportion. If so, all of the abnormal insulators are obtained based on the fourth abnormal proportion.

[0036] The present invention also provides a method for monitoring single-phase grounding faults in a distribution network, the method comprising: obtaining a line image based on an acquisition device; predicting a line fault on a distribution line based on the line image to obtain a prediction result, and obtaining a fault point based on the prediction result; and performing response processing on the fault point based on a data platform;

[0037] The specific steps of obtaining the prediction result include: obtaining a number of lines between any two adjacent pole towers based on the line image, and obtaining the number of lines of all the lines between the two adjacent pole towers; determining whether the number of lines is equal to a preset number, and if so, obtaining a number of sub-images by dividing the line image, obtaining a number of airborne objects by obtaining first pixel values ​​of all the sub-images, and obtaining the coordinates of all the airborne objects to obtain a number of first coordinates; if the number of lines is greater than the preset number, obtaining a number of abnormal lines based on first directions of all the lines, and obtaining a number of second coordinates by obtaining the coordinates of all the abnormal lines; if the number of lines is less than the preset number, obtaining a first distance between any two adjacent lines, obtaining a number of missing lines based on all the first distances, and obtaining a number of third coordinates by obtaining the coordinates of all the missing lines; and obtaining the prediction result based on all the first coordinates, all the second coordinates, or all the third coordinates.

[0038] The principle and effect of this method are similar to those of this system, and therefore no further description will be given for this method.

[0039] One or more technical solutions provided by the present invention have at least the following technical effects or advantages:

[0040] 1. Predict line faults on distribution lines based on line images, obtain prediction results, and determine the fault point based on the prediction results. The line image is used to obtain a number of lines between any two adjacent towers. A preliminary judgment is made based on the number of lines, and further judgment is made based on the difference in the number. Airborne objects, tree barriers, and line breaks are identified and located. This can predict possible single-phase grounding faults and locate the fault point, thereby notifying relevant personnel to handle them, reducing the occurrence of single-phase grounding faults, the workload of locating the fault section, and the problem of large-scale power outages for users.

[0041] 2. Based on all towers, several bird nests are obtained, the fourth coordinates of all bird nests are obtained, the first prediction results are obtained based on all the fourth coordinates, and the first fault point is obtained based on the first prediction result. Considering the harm of bird nests to single-phase grounding of the distribution network, possible single-phase grounding faults can be predicted and the bird nest points can be located, so that relevant personnel can be notified to handle them, reducing the occurrence of single-phase grounding faults, the workload of locating the fault section, and the problem of large-scale power outages for users.

[0042] 3. Based on all towers, several insulators are obtained, and based on all insulators, several abnormal insulators are obtained. The fifth coordinates of all abnormal insulators are obtained, and a second prediction result is obtained based on all fifth coordinates. The second fault point is obtained based on the second prediction result. Considering the hazards of large-scale coverage of insulators by bird droppings and the situation of insulator breakage, the possible single-phase grounding fault can be predicted and the faulty insulator can be located, so that relevant personnel can be notified to handle it, reducing the occurrence of single-phase grounding faults, the workload of fault section locating, and the problem of large-scale power outages for users. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of the present invention, and do not constitute a limitation of the embodiments of the present invention;

[0044] Figure 1 This is a flow chart of a distribution network single-phase grounding fault monitoring system in the present invention;

[0045] Figure 2 This is a schematic diagram of the process of obtaining airborne objects in the present invention;

[0046] Figure 3 It is a schematic diagram of the process of obtaining abnormal insulators in the present invention. DETAILED DESCRIPTION

[0047] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features therein can be combined with each other without conflict.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0049] Example 1

[0050] refer to Figure 1 and Figure 2 This embodiment provides a distribution network single-phase grounding fault monitoring system, the system comprising:

[0051] Acquisition unit: used to obtain line images based on acquisition equipment;

[0052] An analysis unit is configured to predict a line fault on a power distribution line based on the line image, obtain a prediction result, and obtain a fault point based on the prediction result;

[0053] Processing unit: used for responding to the fault point based on the data platform;

[0054] The analysis unit comprises:

[0055] An acquisition unit is configured to acquire a plurality of lines between any two adjacent pole towers based on the line image, and acquire the number of all the lines between the two adjacent pole towers;

[0056] a judgment unit configured to judge whether the number of lines is equal to a preset number; if the number of lines is equal to the preset number, obtaining first coordinates of a number of airborne objects based on the airborne object unit; if the number of lines is greater than the preset number, obtaining second coordinates of a number of abnormal lines based on the abnormality unit; and if the number of lines is less than the preset number, obtaining third coordinates of a number of missing lines based on the missing unit;

[0057] The airborne object unit is configured to divide the route image into a plurality of sub-images, obtain first pixel values ​​of all the sub-images to obtain all the airborne objects, and obtain coordinates of all the airborne objects to obtain all the first coordinates;

[0058] In the airborne object unit, a specific method of obtaining the first pixel values ​​of all the sub-images to obtain a number of airborne objects is as follows:

[0059] Determine whether a foreign object exists based on all the first pixel values. If so, obtain a second distance between the foreign object and all the lines, obtain the minimum of the second distances to obtain a third distance, determine whether the third distance is less than or equal to the first preset distance, and if so, obtain the continuous residence time of the foreign object. Determine whether the continuous residence time is greater than the preset time, and if so, determine the airborne object based on the foreign object. If the color of the foreign object is different from or not similar to that of the lines, find the line closest to the foreign object by using pixels and distances, and then obtain its continuous residence time by using a camera, etc., to distinguish between the foreign object and the bird.

[0060] If the foreign object does not exist, then a number of transverse lines in a first preset direction are obtained based on all the lines, and a number of first connection points between each transverse line and all the lines are obtained. The number of connection points of each transverse line is obtained based on all the first connection points, and it is determined whether the number of connection points is equal to 2. If not, the transverse line is obtained to obtain the floating object. If so, two second connection points corresponding to the number of connection points are obtained, and the number of lines connected to each of the second connection points is obtained. It is determined whether the number of all the connection lines is equal to 3. If not, the floating object is obtained based on all the second connection points. If the foreign object has the same or similar color as the line, its connection point with the line is obtained, and it is distinguished by the number of lines connected to the point. If it is a line itself, it is correspondingly connected to two lines, that is, one line corresponds to two connection points, and both are extension lines. In this case, the number of lines connected to the point should be only 3. The above characteristics are used to distinguish between lines and foreign objects.

[0061] The abnormal unit is configured to obtain the first directions of all the lines, obtain all the abnormal lines based on all the first directions, and obtain the coordinates of all the abnormal lines to obtain all the second coordinates;

[0062] In the abnormal unit, a specific method of obtaining a plurality of abnormal lines based on all the first directions is:

[0063] Determine whether there is an abnormal direction based on all the first directions; if so, obtain a plurality of first lines corresponding to the abnormal direction, and obtain all the abnormal routes based on all the first lines; if no abnormal direction exists, obtain a plurality of second lines in a second preset direction, obtain a fourth distance between all the second lines and a preset target object, obtain a plurality of third lines of abnormal distances based on all the fourth distances, and obtain all the abnormal routes based on all the third lines;

[0064] The missing unit is configured to obtain a first distance between any two adjacent lines, obtain all the missing lines based on all the first distances, and obtain the coordinates of all the missing lines to obtain all the third coordinates;

[0065] In the missing unit, a specific method of obtaining a plurality of missing lines based on all the first distances is:

[0066] Determine whether all the first distances are greater than a preset interval distance, and if so, obtain all the missing lines based on all the first distances; if not, obtain fifth distances between all the lines and a preset base point based on the base point, and obtain all the missing lines based on all the fifth distances;

[0067] A result unit is configured to obtain the prediction result based on all the first coordinates, all the second coordinates, or all the third coordinates.

[0068] Example 2

[0069] refer to Figure 1 and Figure 2 Based on the first embodiment, in this embodiment, the analysis unit further includes a bird's nest unit, which is used to: decolorize the line image to obtain a first image, obtain a number of poles based on the first image, obtain a number of bird's nests based on all the poles, obtain fourth coordinates of all the bird's nests, obtain a first prediction result based on all the fourth coordinates, obtain a first fault point based on the first prediction result, and transmit the first fault point to the processing unit for response processing.

[0070] The specific method of obtaining a plurality of bird nests based on all the towers is as follows:

[0071] Based on the first image, a number of fourth lines are obtained, based on all the fourth lines and all the towers, a number of third connection points are obtained, an area within a first preset range of all the third connection points is obtained, a number of first areas are obtained, the number of area lines of all the first areas is obtained, and it is determined whether the number of lines of all the areas is greater than the preset number of lines of the area. If so, the first area is obtained to obtain all the bird's nests.

[0072] Example 3

[0073] refer to Figure 3 Based on the above embodiment, in this embodiment, the analysis unit further includes a guano unit, which is used to: obtain a number of insulators based on all the towers, obtain a number of abnormal insulators based on all the insulators, obtain the fifth coordinates of all the abnormal insulators, obtain a second prediction result based on all the fifth coordinates, obtain a second fault point based on the second prediction result, and transmit the second fault point to the processing unit for response processing.

[0074] The specific method of obtaining a number of abnormal insulators based on all the insulators is as follows:

[0075] Obtaining a second pixel value of each of the insulators, obtaining a plurality of subregions of each of the insulators based on all of the second pixel values, obtaining a number of regions of each of the insulators based on all of the subregions, determining whether each number of regions is less than a preset number of regions, and if so, obtaining a first area of ​​all of the subregions, obtaining a subregion corresponding to a minimum of the first area to obtain a plurality of first abnormal regions, obtaining a first color of each of the first abnormal regions, determining whether the first color is the same as a first preset color range, and if so, obtaining a first abnormal insulator based on the first abnormal region, and obtaining all of the abnormal insulators based on all of the first abnormal insulators;

[0076] If the number of regions is greater than or equal to the preset number of regions, a specific method of obtaining a number of abnormal insulators based on all the insulators further includes:

[0077] Obtain a second color of each of the sub-areas, determine whether all the second colors are within a second preset color range, and if so, determine whether all the second colors contain a first preset color. If so, obtain an area corresponding to the first preset color, obtain a plurality of second abnormal areas, obtain the number of abnormalities of all the second abnormal areas, determine whether the number of abnormalities is greater than a preset abnormal number, and if so, obtain an abnormal distance between any two adjacent second abnormal areas, determine whether the abnormal distance is less than a preset abnormal distance, and if so, merge the two adjacent second abnormal areas to obtain a plurality of third abnormal areas. If the abnormal distance is greater than or equal to the preset abnormal distance, obtain a plurality of fourth abnormal areas based on the two adjacent second abnormal areas, obtain a first abnormal proportion based on the first areas of all the third abnormal areas and the second areas of all the fourth abnormal areas, determine whether the first abnormal proportion is greater than a preset proportion, and if so, obtain all the abnormal insulators based on the first abnormal proportion.

[0078] For example, if the second preset color range includes white, black, gray-green and dark green, the second color includes white and dark green, the first preset color is set to dark green, the second colors are all within the second preset color range, and the first preset color exists, and a sub-region with a dark green color is obtained, the number of corresponding regions is obtained, and if it is greater than the preset abnormal number, the distance between any two adjacent dark green sub-regions is obtained, and the distance can be calculated as the edge distance or the middle point distance. If the distance is less than the preset abnormal distance, the two dark green sub-regions are regarded as one region, and if it is greater than the preset abnormal distance, they are regarded as one region respectively, and then their areas are calculated respectively. The calculation of the area can adopt the calculation method of irregular graphics in the prior art to obtain the abnormal proportion of the total area, that is, the coverage proportion. If it is greater than the preset proportion, the insulator is obtained as an abnormal insulator;

[0079] If the number of abnormalities is less than or equal to the preset number of abnormalities, several first to-be-determined areas are obtained from areas other than the second abnormal area, first to-be-determined color values ​​of all the first to-be-determined areas are obtained, first color values ​​are obtained based on a second preset range and all the second abnormal areas, and it is determined whether the first to-be-determined color value is equal to the first color value. If they are the same, the first to-be-determined area corresponding to the first color value is obtained, several fifth abnormal areas are obtained, several sixth abnormal areas are obtained based on all the second abnormal areas and all the fifth abnormal areas, a second abnormal proportion is obtained based on the third area of ​​the sixth abnormal area, and it is determined whether the second abnormal proportion is greater than the preset proportion. If so, all the abnormal insulators are obtained based on the second abnormal proportion.

[0080] If it is greater than the preset number of abnormalities, then obtain the first undetermined area that is not a black-green area, obtain the color value of the area, and obtain the color value of the area within a certain range outside the black-green area, and compare the two color values. If they are the same, then the first undetermined area is determined to be the fifth abnormal area, and it and the second abnormal area are regarded as the sixth abnormal area. Then calculate the area to obtain the abnormal proportion of the total area, that is, the coverage proportion. If the proportion is greater than the preset proportion, then the insulator is determined to be an abnormal insulator;

[0081] If the first preset color does not exist in all the second colors, the second color values ​​of all the sub-areas are obtained, a seventh abnormal area is obtained based on all the second color values ​​and the preset color value, a third abnormal proportion is obtained based on the fourth area of ​​the seventh abnormal area, and it is determined whether the third abnormal proportion is greater than the preset proportion. If so, all the abnormal insulators are obtained based on the third abnormal proportion; if black and green do not exist in the second colors, the color value of each area is calculated, and the abnormal area is determined based on the color value;

[0082] If all of the second colors are not within the second preset color range, an eighth abnormal region is obtained based on all of the second colors and the preset color. A fourth abnormal percentage is obtained based on the fifth area of ​​the eighth abnormal region. A determination is made as to whether the fourth abnormal percentage is greater than the preset percentage. If so, all of the abnormal insulators are obtained based on the fourth abnormal percentage. If the second color includes white and red, and red is not within the second preset color range, a subregion of the second color that matches the preset color is directly obtained to determine the abnormal region.

[0083] Example 4

[0084] Based on the above embodiment, this embodiment further provides a method for monitoring a single-phase grounding fault in a distribution network, the method comprising:

[0085] Obtaining a line image based on an acquisition device; predicting a line fault on a distribution line based on the line image to obtain a prediction result, and obtaining a fault point based on the prediction result; and performing response processing on the fault point based on a data platform;

[0086] The specific steps of obtaining the prediction result include: obtaining a number of lines between any two adjacent pole towers based on the line image, and obtaining the number of lines of all the lines between the two adjacent pole towers; determining whether the number of lines is equal to a preset number, and if so, obtaining a number of sub-images by dividing the line image, obtaining a number of airborne objects by obtaining first pixel values ​​of all the sub-images, and obtaining the coordinates of all the airborne objects to obtain a number of first coordinates; if the number of lines is greater than the preset number, obtaining a number of abnormal lines based on first directions of all the lines, and obtaining a number of second coordinates by obtaining the coordinates of all the abnormal lines; if the number of lines is less than the preset number, obtaining a first distance between any two adjacent lines, obtaining a number of missing lines based on all the first distances, and obtaining a number of third coordinates by obtaining the coordinates of all the missing lines; and obtaining the prediction result based on all the first coordinates, all the second coordinates, or all the third coordinates.

[0087] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0088] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A distribution network single-phase grounding fault monitoring system, characterized in that: The system comprises: Acquisition unit: used to obtain line images based on acquisition equipment; An analysis unit is configured to predict a line fault on a power distribution line based on the line image, obtain a prediction result, and obtain a fault point based on the prediction result; Processing unit: used for responding to the fault point based on the data platform; The analysis unit comprises: An acquisition unit is configured to acquire a plurality of lines between any two adjacent pole towers based on the line image, and acquire the number of all the lines between the two adjacent pole towers; a judgment unit configured to judge whether the number of lines is equal to a preset number; if the number of lines is equal to the preset number, obtaining first coordinates of a number of airborne objects based on the airborne object unit; if the number of lines is greater than the preset number, obtaining second coordinates of a number of abnormal lines based on the abnormality unit; and if the number of lines is less than the preset number, obtaining third coordinates of a number of missing lines based on the missing unit; The airborne object unit is configured to divide the route image into a plurality of sub-images, obtain first pixel values ​​of all the sub-images to obtain all the airborne objects, and obtain coordinates of all the airborne objects to obtain all the first coordinates; The abnormal unit is configured to obtain the first directions of all the lines, obtain all the abnormal lines based on all the first directions, and obtain the coordinates of all the abnormal lines to obtain all the second coordinates; The missing unit is configured to obtain a first distance between any two adjacent lines, obtain all the missing lines based on all the first distances, and obtain the coordinates of all the missing lines to obtain all the third coordinates; A result unit is configured to obtain the prediction result based on all the first coordinates, all the second coordinates, or all the third coordinates.

2. A distribution network single-phase grounding fault monitoring system according to claim 1, characterized in that: In the airborne object unit, a specific method of obtaining the first pixel values ​​of all the sub-images to obtain a number of airborne objects is as follows: determining whether a foreign object exists based on all the first pixel values, and if so, obtaining a second distance between the foreign object and all the lines, obtaining a minimum of the second distances to obtain a third distance, determining whether the third distance is less than or equal to a first preset distance, and if the third distance is less than or equal to the first preset distance, obtaining a continuous residence time of the foreign object, determining whether the continuous residence time is greater than a preset time, and if the continuous residence time is greater than the preset time, obtaining the airborne object based on the foreign object; If the foreign object does not exist, a number of transverse lines in a first preset direction are obtained based on all the lines, a number of first connection points between each transverse line and all the lines are obtained, the number of connection points of each transverse line is obtained based on all the first connection points, and it is determined whether the number of connection points is equal to 2. If not, the transverse lines are obtained to obtain the airborne object. If so, two second connection points corresponding to the number of connection points are obtained, the number of connection lines of each second connection point is obtained, and it is determined whether the number of connection lines is equal to 3. If not, the airborne object is obtained based on all the second connection points.

3. A distribution network single-phase grounding fault monitoring system according to claim 1, characterized in that: In the abnormal unit, a specific method of obtaining a plurality of abnormal lines based on all the first directions is: Determine whether there is an abnormal direction based on all the first directions, and if so, obtain a plurality of first lines corresponding to the abnormal direction, and obtain all the abnormal lines based on all the first lines; If there is no abnormal direction, obtain several second lines in the second preset direction, obtain the fourth distance between all the second lines and the preset target object, obtain several third lines with abnormal distances based on all the fourth distances, and obtain all the abnormal lines based on all the third lines.

4. A distribution network single-phase grounding fault monitoring system according to claim 1, characterized in that: In the missing unit, a specific method of obtaining a plurality of missing lines based on all the first distances is: Determine whether all the first distances are greater than a preset interval distance. If so, obtain all the missing lines based on all the first distances. If not, based on a preset base point, obtain the fifth distances between all the lines and the base point, and obtain all the missing lines based on all the fifth distances.

5. A distribution network single-phase grounding fault monitoring system according to claim 1, characterized in that: The analysis unit also includes a bird's nest unit, which is used to: decolorize the line image to obtain a first image, obtain a number of poles based on the first image, obtain a number of bird's nests based on all the poles, obtain fourth coordinates of all the bird's nests, obtain a first prediction result based on all the fourth coordinates, obtain a first fault point based on the first prediction result, and transmit the first fault point to the processing unit for response processing.

6. A distribution network single-phase grounding fault monitoring system according to claim 5, characterized in that: The specific method of obtaining several bird nests based on all the towers is as follows: Based on the first image, a number of fourth lines are obtained, based on all the fourth lines and all the towers, a number of third connection points are obtained, an area within a first preset range of all the third connection points is obtained, a number of first areas are obtained, the number of area lines of all the first areas is obtained, and it is determined whether the number of lines of all the areas is greater than the preset number of lines of the area. If so, the first area is obtained to obtain all the bird's nests.

7. A distribution network single-phase grounding fault monitoring system according to claim 5, characterized in that: The analysis unit also includes a guano unit, which is used to: obtain a number of insulators based on all the towers, obtain a number of abnormal insulators based on all the insulators, obtain the fifth coordinates of all the abnormal insulators, obtain a second prediction result based on all the fifth coordinates, obtain a second fault point based on the second prediction result, and transmit the second fault point to the processing unit for response processing.

8. A distribution network single-phase grounding fault monitoring system according to claim 7, characterized in that: The specific method of obtaining several abnormal insulators based on all the above insulators is as follows: Obtain the second pixel value of each of the insulators, obtain several sub-regions of each of the insulators based on all the second pixel values, obtain the number of regions of each of the insulators based on all the sub-regions, determine whether each number of regions is less than a preset number of regions, if so, obtain the first areas of all the sub-regions, obtain the sub-region corresponding to the minimum first area to obtain several first abnormal regions, obtain the first color of each of the first abnormal regions, determine whether the first color is the same as a first preset color range, if so, obtain a first abnormal insulator based on the first abnormal region, and obtain all the abnormal insulators based on all the first abnormal insulators.

9. A distribution network single-phase grounding fault monitoring system according to claim 8, characterized in that: If the number of regions is greater than or equal to the preset number of regions, a specific method of obtaining a number of abnormal insulators based on all the insulators further includes: Obtain a second color of each of the sub-areas, determine whether all the second colors are within a second preset color range, and if so, determine whether all the second colors contain a first preset color. If so, obtain an area corresponding to the first preset color, obtain a plurality of second abnormal areas, obtain the number of abnormalities of all the second abnormal areas, determine whether the number of abnormalities is greater than a preset abnormal number, and if so, obtain an abnormal distance between any two adjacent second abnormal areas, determine whether the abnormal distance is less than a preset abnormal distance, and if so, merge the two adjacent second abnormal areas to obtain a plurality of third abnormal areas. If the abnormal distance is greater than or equal to the preset abnormal distance, obtain a plurality of fourth abnormal areas based on the two adjacent second abnormal areas, obtain a first abnormal proportion based on the first areas of all the third abnormal areas and the second areas of all the fourth abnormal areas, determine whether the first abnormal proportion is greater than a preset proportion, and if so, obtain all the abnormal insulators based on the first abnormal proportion. If the number of abnormalities is less than or equal to the preset number of abnormalities, several first to-be-determined areas are obtained from areas other than the second abnormal area, first to-be-determined color values ​​of all the first to-be-determined areas are obtained, first color values ​​are obtained based on a second preset range and all the second abnormal areas, and it is determined whether the first to-be-determined color value is equal to the first color value. If they are the same, the first to-be-determined area corresponding to the first color value is obtained, several fifth abnormal areas are obtained, several sixth abnormal areas are obtained based on all the second abnormal areas and all the fifth abnormal areas, a second abnormal proportion is obtained based on the third area of ​​the sixth abnormal area, and it is determined whether the second abnormal proportion is greater than the preset proportion. If so, all the abnormal insulators are obtained based on the second abnormal proportion. If the first preset color does not exist in all the second colors, obtaining the second color values ​​of all the sub-areas, obtaining a seventh abnormal area based on all the second color values ​​and the preset color value, obtaining a third abnormal proportion based on the fourth area of ​​the seventh abnormal area, determining whether the third abnormal proportion is greater than the preset proportion, and if so, obtaining all the abnormal insulators based on the third abnormal proportion; If all of the second colors are not entirely within the second preset color range, an eighth abnormal area is obtained based on all of the second colors and the preset colors, and a fourth abnormal proportion is obtained based on the fifth area of ​​the eighth abnormal area. It is determined whether the fourth abnormal proportion is greater than the preset proportion. If so, all of the abnormal insulators are obtained based on the fourth abnormal proportion.

10. A method for monitoring single-phase grounding faults in a distribution network, characterized in that: The method comprises: Obtaining a line image based on an acquisition device; predicting a line fault on a distribution line based on the line image to obtain a prediction result, and obtaining a fault point based on the prediction result; and performing response processing on the fault point based on a data platform; The specific steps of obtaining the prediction result include: obtaining a number of lines between any two adjacent pole towers based on the line image, and obtaining the number of lines of all the lines between the two adjacent pole towers; determining whether the number of lines is equal to a preset number, and if so, obtaining a number of sub-images by dividing the line image, obtaining a number of airborne objects by obtaining first pixel values ​​of all the sub-images, and obtaining the coordinates of all the airborne objects to obtain a number of first coordinates; if the number of lines is greater than the preset number, obtaining a number of abnormal lines based on first directions of all the lines, and obtaining a number of second coordinates by obtaining the coordinates of all the abnormal lines; if the number of lines is less than the preset number, obtaining a first distance between any two adjacent lines, obtaining a number of missing lines based on all the first distances, and obtaining a number of third coordinates by obtaining the coordinates of all the missing lines; and obtaining the prediction result based on all the first coordinates, all the second coordinates, or all the third coordinates.

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