A method and system for generating a line defect profile

Abstract

The application provides a line defect distribution map generation method and system, and relates to the related technical field of electric power inspection, and comprises the following steps: S1, obtaining tower information collected by a unmanned aerial vehicle when the unmanned aerial vehicle inspects a line, detecting defects of the tower according to the tower information, and establishing a tower identity information database according to the detection result and the tower information; S2, performing defect data mining on the tower identity information database and obtaining a defect summary table through analysis; S3, obtaining a GIS map containing the line through the tower identity information database; S4, extracting defect classification and defect properties corresponding to the tower in the defect summary table, fusing defect data according to weight values corresponding to the defect classification and the defect properties, and displaying the fusion result of the defect degree at the tower on the GIS map through different color marks, so that a line defect distribution map is formed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power inspection, and specifically discloses a line defect distribution map generation method and system. BACKGROUND

[0002] In order to maintain the smooth operation of power facilities, relevant staff are arranged to regularly inspect the towers, but the manual inspection method is very inconvenient when inspecting the high nodes of the towers, and safety problems are likely to occur. Therefore, the current prior art also uses a UAV to inspect the towers.

[0003] When the UAV is used to inspect the tower, the background processing end further processes the data uploaded by the UAV, analyzes the comprehensive information of the tower according to the data uploaded by the UAV, and then judges the state of the current tower, that is, detects the defects of the tower. By integrating the above information, the tower can be maintained, but the current prior art usually only simply counts the above information, which is not intuitive for the staff, and the influence of adjacent towers cannot be directly considered when maintaining the tower, so that the maintenance of the entire line is not comprehensive enough. SUMMARY

[0004] The purpose of the present application is to provide a line defect distribution map generation method and system, which can feed back the tower information and the tower coordinates of the tower through the UAV when the UAV is used to inspect the tower, combine the tower information with the GIS map according to the tower coordinates, and intuitively display the tower information through marking.

[0005] To solve the above technical problems, the present application adopts the following scheme:

[0006] A line defect distribution map generation method comprises the following steps:

[0007] S1, obtaining tower information collected by a UAV when the UAV inspects a line, detecting defects of the tower according to the tower information, and establishing a tower identity information database according to the detection result and the tower information;

[0008] S2, defect data mining and analysis of the tower identity information database to obtain a defect summary table;

[0009] S3, obtaining a GIS map containing a line through the tower identity information database;

[0010] S4, extracting the defect classification and defect properties corresponding to the tower in the defect summary table, fusing the defect data according to the weight values corresponding to the defect classification and the defect properties, and displaying the fusion result of the defect degree at the tower on the GIS map through different color markings to form a line defect distribution map.

[0011] Further preferred technical solutions are that the unmanned aerial vehicle takes pictures of the towers in the line in the order of the upper and lower levels of the towers in the line, obtains tower information by analyzing the information collected from the pictures, and detects defects in the pictures to mark the defect targets in the pictures by a detection frame to obtain detection results.

[0012] Further preferred technical solutions are that the process of mining the defect data of the tower identity information database and analyzing the defect summary table comprises the following steps:

[0013] mining the pictures of the defect targets corresponding to the towers in the tower identity information database, analyzing the defect targets in the pictures, and obtaining the component types and component defect descriptions corresponding to the defect targets;

[0014] classifying the component types to obtain the defect classification corresponding to the defect targets;

[0015] calling the defect property judgment conditions corresponding to the component types, analyzing and judging the component defect descriptions according to the defect property judgment conditions, and obtaining the defect properties corresponding to the defect targets;

[0016] constructing the defect summary table according to the component types, the component defect descriptions, the defect classification, and the defect properties of the defect targets in the towers.

[0017] Further preferred technical solutions are that the process of constructing the defect summary table according to the component types, the component defect descriptions, the defect classification, and the defect properties of the defect targets in the towers comprises the following steps: defining the defect summary table in advance, numbering the towers in the order of the upper and lower levels of the towers in the line, taking the numbers as the column headers in each row, and then storing the component types, the component defect descriptions, the defect classification, and the defect properties of the defect targets in the rows.

[0018] Further preferred technical solutions are that S4 comprises the following steps:

[0019] S41, extracting the defect classification and the defect properties corresponding to the towers in the defect summary table, and packing the component types and the defect properties corresponding to the towers according to the same defect classification to form defect classification data;

[0020] S42, extracting the same defect classification data corresponding to different towers, performing first defect degree fusion on the defect classification data according to the first weight values corresponding to the defect properties, and displaying the results of the first defect degree fusion at the towers on the GIS map by different color marks to form a first line defect distribution map;

[0021] S43, according to the first weight value corresponding to the defect property, the second weight value corresponding to the defect classification, the second defect degree fusion is carried out to the defect data, and the result of the second defect degree fusion is displayed on the tower on the GIS map through different color marks, and the second line defect distribution map is formed;

[0022] Then, different first line defect distribution maps are formed according to different defect classifications, and the first line defect distribution map is used to show the defect degree of the tower on the GIS map under the same defect classification. The second line defect distribution map is used to show the defect degree of the tower on the GIS map under the overall.

[0023] Further preferred technical solutions are that the process of the first defect degree fusion is that a preset base number of the current defect classification is obtained, all defect classification data of the same defect classification in a tower are extracted, the first weight value corresponding to the defect property in all defect classification data is obtained, the sum of all first weight values is multiplied by the preset base number, and the result of the first defect degree fusion of the tower is obtained. The same is true.

[0024] Further preferred technical solutions are that the process of the second defect degree fusion is that the first weight value corresponding to the defect property and the second weight value corresponding to the defect classification are obtained, all defect data in a tower are extracted, the first weight value corresponding to the defect property is multiplied by the second weight value corresponding to the defect classification in turn, the sum of the multiplied results is obtained, and the result of the second defect degree fusion of the tower is obtained. The same is true.

[0025] Further preferred technical solutions are that the process of obtaining the GIS map containing the line through the tower identity information database is that the unmanned aerial vehicle photographs the tower in turn according to the superior-inferior order of the tower in the line when inspecting the line, the tower information is obtained by information collection and analysis of the photographed pictures, at the same time, the position information of the tower is obtained through the GPS positioning of the unmanned aerial vehicle itself, the tower is mapped on the GIS map according to the position information of the tower, and the line is connected to form the line.

[0026] A line defect distribution map generation system applies the line defect distribution map generation method, comprising:

[0027] The identity information database construction module obtains the tower information collected by the unmanned aerial vehicle when inspecting the line, detects the defects of the tower according to the tower information, and establishes the tower identity information database according to the detection result and the tower information;

[0028] The defect summary table generation module mines and analyzes the defect data of the tower identity information database to obtain the defect summary table;

[0029] The GIS map acquisition module acquires the GIS map containing the line obtained through the tower identity information database.

[0030] The line defect distribution map generation module extracts the defect classification and defect property corresponding to the tower in the defect summary table, fuses the defect data according to the weight value corresponding to the defect classification and defect property, and displays the fusion result of the defect degree at the tower on the GIS map through different color marks to form a line defect distribution map.

[0031] The beneficial effects of the present application are as follows:

[0032] The present application provides a line defect distribution map generation method and system, which, while using a UAV to inspect towers, feeds back tower information and tower coordinates through the UAV, changes the data statistical method in the prior art to a data classification display, combines the tower information with a GIS map according to the tower coordinates, mines and analyzes the defect data in the tower information, fuses the defect degree with different emphases according to the weight value corresponding to the defect classification and defect property, and then displays the fusion result through different color marks on the GIS map, so that the staff can intuitively master the current line condition, comprehensively consider the overall line condition, make regional judgments, and realize the maintenance of power facilities. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 The figure is a flowchart of the line defect distribution map generation method in the embodiment 1 of the present application.

[0034] Figure 2 The figure is a schematic diagram of the first line defect distribution map in the embodiment 1 of the present application. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. The following description of at least one exemplary embodiment is actually only illustrative, but not as any limitation on the present application and its application or use. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0036] Unless otherwise specified, the relative arrangement, numerical expression and values of the components and steps set forth in these embodiments do not limit the scope of the present application.

[0037] At the same time, it should be understood that the sizes of the various parts shown in the drawings are not drawn in accordance with the actual proportional relationship for the convenience of description.

[0038] Also, for the sake of brevity and clarity, detailed descriptions of well-known structures, functions and configurations will not be discussed. Those skilled in the art will recognize that various changes and modifications of the examples described herein can be made without departing from the spirit and scope of the disclosure.

[0039] Techniques, methods, and apparatus known to those of ordinary skill in the relevant art can not be discussed in detail herein, but should be considered as part of the description of the application.

[0040] In all of the examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Thus, other examples of the exemplary embodiments can have different values.

[0041] The present application is explained in detail below by reference to the drawings and embodiments:

[0042] Embodiment 1

[0043] In this embodiment, in order to maintain the smooth operation of the power facility, and considering that the manual inspection method is very inconvenient when inspecting the high node of the tower, a method of using a UAV to inspect the tower is proposed. Although there are also technical solutions for using a UAV to inspect the tower in the prior art, the present application aims to process and visualize the data collected by the UAV inspection, so that the background processing end can make maintenance measures for the power facility through the visual UAV inspection results, in order to maintain the smooth operation of the power facility.

[0044] When using a UAV to inspect the tower, the background processing end will further process the data uploaded by the UAV, analyze the comprehensive information of the tower according to the data uploaded by the UAV, and then judge the current state of the tower, i.e. defect detection of the tower. By integrating the above information, the tower can be maintained, but the prior art usually only performs simple statistics on the above information, which is not intuitive for the workers, and the influence of adjacent towers cannot be directly considered when maintaining the tower, so that the maintenance of the entire line is not comprehensive enough.

[0045] Therefore, in order to solve the above problems, the present application provides a line defect distribution map generation method, which uses a UAV to inspect the tower, and feeds back the tower information and tower coordinates through the UAV. The tower information is combined with the GIS map according to the tower coordinates, and the tower information is displayed intuitively by marking.

[0046] Specifically, as shown in Figure 1 The line defect distribution map generation method includes the following steps:

[0047] S1, obtain tower information collected by the unmanned aerial vehicle when patrolling the line, detect defects of the tower according to the tower information, and establish a tower identity information database according to the detection result and the tower information;

[0048] S2, defect data mining and analysis of the tower identity information database to obtain a defect summary table;

[0049] S3, obtain a GIS map containing the line through the tower identity information database;

[0050] S4, extract the defect classification and defect property corresponding to the tower in the defect summary table, fuse the defect data according to the weight value corresponding to the defect classification and defect property, and display the result of the defect degree fusion on the tower on the GIS map through different color marks, forming a line defect distribution map.

[0051] Further preferred technical solutions are that when the unmanned aerial vehicle patrols the line, the towers are photographed in turn according to the seniority order of the towers in the line, the tower information is obtained by analyzing the information collected from the photographed pictures, and the photographed pictures are detected for defects, so that the defect targets are marked on the photographed pictures through the detection frame, and the detection result is obtained.

[0052] Further preferred technical solutions are that the process of defect data mining and analysis of the tower identity information database to obtain a defect summary table is:

[0053] Mining the photographed pictures of the tower corresponding to the defect target in the tower identity information database, analyzing the defect target in the photographed pictures, obtaining the component type corresponding to the defect target and the component defect description;

[0054] Classifying the component type to obtain the defect classification corresponding to the defect target;

[0055] Calling the defect property judgment condition corresponding to the component type, analyzing and judging the component defect description according to the defect property judgment condition, and obtaining the defect property corresponding to the defect target;

[0056] According to the component type corresponding to the defect target in the tower, the component defect description, the defect classification, and the defect property, the defect summary table is constructed.

[0057] Further preferred technical solutions are that the process of constructing the defect summary table according to the component type corresponding to the defect target in the tower, the component defect description, the defect classification, and the defect property is: the defect summary table is defined in advance, the towers are numbered in turn according to the seniority order of the towers in the line, the number is used as the column header of each column in each row, and then the component type corresponding to the defect target, the component defect description, the defect classification, and the defect property are stored in each row.

[0058] Specifically, the defect detection can be detected by an AI model or detected by manual judgment. Through the defect detection, whether there is a defect target in the photographed picture can be obtained. If there is, the defect target is marked by a detection frame. The AI model can be a target detection model. After the defect target is marked, further data analysis is performed on the defect target in the detection frame to determine the corresponding component type, component defect description, defect classification, and defect nature of the defect target to construct a defect summary table.

[0059] In an actual scenario, a tower has many component types, including tension clamps, wires, signboards, and the like. Different maintenance strategies need to be adopted for defects on different component types. The application considers the component type and the component defect description corresponding to the component type. By analyzing the component type and the component defect description, the defect nature corresponding to the current component type can be determined. The determination process is as follows: a defect nature determination condition corresponding to the component type is called to analyze and determine the defect nature, which is a general defect, a serious defect, or a crisis defect. The defect nature determination condition is a standard condition, which is not described herein again. The application can obtain the defect severity of the component type corresponding to the defect target on the tower. The defect severity of all component types on the tower is integrated, and the defect degree of the current tower under the overall condition, i.e., the overall defect degree, can be obtained. Different overall defect degrees corresponding to different towers are displayed on a GIS map by different colors, so that workers can directly see the defects of the tower, which provides decision support for eliminating defects and assisting in optimizing the tower.

[0060] In an actual scenario, after analyzing the component types with defects, eight typical application scenarios are obtained. The component types are divided into eight categories, i.e., in this embodiment, the defect classification is divided into eight categories, including fittings, towers, insulators, auxiliary facilities, wires, channel environments, foundations, and grounding devices. In the same defect classification, different component types have mutual influence in defect analysis. The application proposes two line defect distribution maps. One is to integrate the defect degrees of all component types on the tower to visually display the overall defect degree of the tower. The other is to divide the component types on the tower into different application scenarios in advance. The defect degrees of the component types belonging to the same defect classification on the tower are integrated to visually display the biased defect degree of the tower in different application scenarios, which provides customers with diversity selection and is suitable for different application scenarios.

[0061] Based on the above principle, in the embodiment, a defect summary table is obtained by defect mining and analysis on the tower information collected by the unmanned aerial vehicle when patrolling the line, as shown in Table 1 below. The defect summary table stores the defect targets in each tower, each row being a defect target, which is represented by the corresponding component type, component defect description, defect classification, and defect property. X represents the longitude and Y represents the latitude.

[0062] Table 1 Defect summary table

[0063]

[0064] Further preferred technical solutions are as follows:

[0065] S41, extracting the defect classification and defect property corresponding to the tower in the defect summary table, and packing the component type and defect property corresponding to the tower according to the same defect classification to form defect classification data;

[0066] S42, extracting the same defect classification data corresponding to different towers, performing first defect degree fusion on the defect classification data according to the first weight value corresponding to the defect property, and displaying the result of the first defect degree fusion at the tower on the GIS map through different color marks to form a first line defect distribution map;

[0067] S43, performing second defect degree fusion on the defect data according to the first weight value corresponding to the defect property and the second weight value corresponding to the defect classification, and displaying the result of the second defect degree fusion at the tower on the GIS map through different color marks to form a second line defect distribution map;

[0068] Then, different first line defect distribution maps are formed according to different defect classifications. The first line defect distribution map is used to show the defect degree of the tower on the GIS map under the same defect classification. The second line defect distribution map is used to show the defect degree of the tower on the GIS map as a whole.

[0069] Further preferred technical solutions are as follows: the process of the first defect degree fusion is as follows: obtaining a preset base number of the current defect classification, extracting all defect classification data in a tower that is the same as the current defect classification, obtaining the first weight value corresponding to the defect property in all defect classification data, summing all first weight values, multiplying the sum by the preset base number to obtain the result of the first defect degree fusion of a tower, and sequentially performing the same operation.

[0070] A further preferred technical solution is that the process of fusing the second defect degree is as follows: obtain the first weight value corresponding to the defect nature and the second weight value corresponding to the defect classification, extract all defect data in a tower, multiply the first weight value corresponding to the defect nature by the second weight value corresponding to the defect classification in turn, sum the results after multiplication, and obtain the result of fusing the second defect degree of a tower, and so on.

[0071] Specifically, the defect natures include general defects, serious defects, and critical defects. Different first weight values can be set for different defect natures under different defect classifications in advance. At this time, the first weight values of the same defect nature under different defect classifications can be the same or different. For example, generally, a general defect is set as q1, a serious defect is set as q2, and a critical defect is set as q3, and q1 < q2 < q3. According to the first weight value corresponding to the defect nature, the first defect degree fusion is performed on the defect classification data. Since the same defect classification is targeted at this time, the same base number a can be set. The first defect degree fusion is to add the first weight values of the defect targets corresponding to the same defect classification, and multiply the sum by the same base number a. For example: in an application scenario with a base number of a, Tower A has two defect targets, which respectively correspond to a general defect and a serious defect. Then, through the first defect degree fusion, a*(q1 + q2) is obtained; Tower B has two defect targets, which respectively correspond to a general defect and a critical defect. Then, through the first defect degree fusion, a*(q1 + q3) is obtained; it can be seen that a*(q1 + q2) < a*(q1 + q3). Then, the different degrees of defects of Tower A and Tower B in this application scenario can be displayed on the GIS map through different color markings.

[0072] Based on the above principle, the process of fusing the second defect degree can be obtained. Different second weight values are set for different defect classifications, and the defect classification is substituted into the calculation process, and then the defect degree of the tower under the overall situation can be obtained. Specifically, as Figure 2 shown Figure 2 It belongs to the first line defect distribution map, which shows the defect degree of the tower when the defect classification is fittings; the second line defect distribution map shows the defect degree of the tower under the overall situation. Through different color markings and explanations of the color markings below, the staff can directly see the defects of the tower, providing decision support for defect elimination and auxiliary optimization of the tower. Moreover, the偏重defect degree of the tower in different application scenarios can be visually displayed, providing diverse choices for customers and generating maintenance strategies.

[0073] It should be noted that there is an unclear expression "偏重defect degree" in the original text. You may need to check and correct it according to the actual situation. If it is a misspelling, it should be accurately translated according to the correct word.In an embodiment, the process of obtaining the GIS map containing the line through the tower identity information database is that: when the unmanned aerial vehicle inspects the line, the unmanned aerial vehicle photographs the towers in the line in turn according to the superior-inferior order of the towers in the line, the tower information is obtained by information collection and analysis of the photographed pictures, at the same time, the position information of the tower is obtained through the GPS positioning of the unmanned aerial vehicle, the tower is mapped on the GIS map according to the position information of the tower, and the line is formed by connection.

[0074] In an embodiment, in the prior art, when the unmanned aerial vehicle inspects the tower, the background processing end receives the pictures of the tower photographed by the unmanned aerial vehicle and the corresponding time information and position information uploaded by the unmanned aerial vehicle, the pictures are marked through the time information and position information, at the same time, the state of the tower is collected through analysis of the pictures, the tower information of the current tower is obtained by the background processing end, and the maintenance of the power facility is realized through the tower information.

[0075] On this basis, in the prior art, the unmanned aerial vehicle is provided with a positioning device, that is, GPS positioning, so that when the unmanned aerial vehicle uploads the pictures to the background processing end, the position of the unmanned aerial vehicle when the pictures are photographed is uploaded, the position information is the longitude X and the latitude Y obtained through the GPS, that is, the longitude and latitude point (X, Y).

[0076] Therefore, when the unmanned aerial vehicle inspects the tower, the longitude and latitude point (X, Y) is usually used to calibrate the position of the tower, when the position of the tower is calibrated, the position of the tower is substituted into the GIS map, that is, the point is marked on the GIS map, and after the position of the tower is substituted into the GIS map, only the position of the tower itself can be obtained, since the longitude and latitude point (X, Y) is a point data, it cannot reflect the direction, so that the line cannot be directly formed on the GIS map, and the staff needs to manually import the line or connect the line to display the inspection line of the unmanned aerial vehicle on the GIS map, which is relatively cumbersome.

[0077] Therefore, in order to solve the above problem, the present application proposes a preprocessing design scheme for the longitude and latitude coordinate point, the preprocessing refers to modifying the longitude and latitude coordinate point to a longitude and latitude line segment in advance according to the associated longitude and latitude coordinate point and the inspection result before the tower information is mapped on the GIS map, the longitude and latitude line segment is composed of the longitude and latitude coordinate points of the superior-inferior towers, and the association relationship of "tower-longitude and latitude line segment" is established, so that when the longitude and latitude line segment is mapped on the GIS map according to the association relationship of "tower-longitude and latitude line segment" in the present application, the line can be directly connected on the GIS map through the plurality of longitude and latitude line segments, the staff does not need to further judge the connection between the longitude and latitude coordinate points, and the generation efficiency of the power facility geographical wiring diagram can be improved.

[0078] And, the application uses the GPS positioning uploaded when the unmanned aerial vehicle shoots the picture as the position of the tower, in actual operation, in order to collect accurate position information, the unmanned aerial vehicle can be operated to hover above the tower, and the GPS positioning uploaded by the unmanned aerial vehicle shooting the picture above the tower is used as the longitude and latitude point of the tower.

[0079] A further preferred technical solution is that the process of obtaining the GIS map containing the line through the tower identity information database is: according to the seniority order of the towers in the line, the corresponding tower information is associated to construct the tower identity information database; according to the association relationship between the tower information in the tower identity information database, the longitude and latitude coordinate points corresponding to the towers in the tower information are modified to longitude and latitude line segments, and the tower identity information database is updated; the longitude and latitude line segments corresponding to the tower number in the updated tower identity information database are mapped on the GIS map, and the line is formed by connecting a plurality of longitude and latitude line segments on the GIS map, and the GIS map containing the line is obtained.

[0080] A further preferred technical solution is that the process of constructing the tower identity information database is: the table is defined in advance, and the corresponding tower information is sequentially stored in each row according to the seniority order of the towers in the line, the tower name in the tower information is used as the column header of each column in each row, and the longitude and latitude coordinates in the tower information are stored in other columns. Specifically, the tower information includes tower name, longitude and latitude coordinate point, shooting time, voltage level, line name, angle degree, altitude, tower type, span, total number of defects, tree barrier, defect information, insulator, auxiliary facilities, number of stay wires, license plate status, conductor type, number of loops, conductor joint, tower material, crossing span, stay wire model, insulator type, geographical environment, three-wire suspension, high and low voltage on the same tower, conductor model, the longitude and latitude coordinate point is composed of longitude and latitude.

[0081] A further preferred technical solution is that the process of associating the corresponding tower information according to the seniority order of the towers in the line is: a column is added in the table, and the column definition is the upper tower name, the upper tower name corresponding to the tower name in each row is found according to the seniority order of the towers in the line, and is filled into the column. Here, the purpose of adding the upper tower name is to establish the association relationship between the tower information through the tower name and the upper tower name, so that the table is preprocessed according to the association relationship.

[0082] A further preferred technical solution is that the process of updating the tower identity information database is:

[0083] Find the superior tower name and the longitude and latitude coordinate point in each row of the tower identity information database, and take the longitude and latitude coordinate point as the end coordinate point; locate the superior tower name to its row and extract the corresponding longitude and latitude coordinate point according to the superior tower name, and take the longitude and latitude coordinate point as the starting coordinate point;

[0084] Modify the definition of the longitude and latitude coordinate point in each row of the table to the end coordinate point; and add a column in the table, which is defined as the starting coordinate point, then connect the starting coordinate point and the end coordinate point in each row to form a longitude and latitude line segment, to update the tower identity information database.

[0085] Embodiment 2

[0086] A line defect distribution map generation system applying the line defect distribution map generation method, comprising:

[0087] An identity information database construction module: obtaining tower information collected by a unmanned aerial vehicle when inspecting a line, detecting defects of the tower according to the tower information, and establishing a tower identity information database according to the detection result and the tower information;

[0088] A defect summary table generation module: performing defect data mining on the tower identity information database and obtaining a defect summary table through analysis;

[0089] A GIS map acquisition module: acquiring a GIS map containing a line obtained through the tower identity information database;

[0090] A line defect distribution map generation module: extracting defect classification and defect properties corresponding to the tower in the defect summary table, performing defect degree fusion on the defect data according to the weight values corresponding to the defect classification and the defect properties, and displaying the results of the defect degree fusion at the tower on the GIS map through different color markings, to form a line defect distribution map.

[0091] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. According to the technical essence of the present application, any simple modification, equivalent replacement and improvement of the above embodiment within the spirit and principles of the present application are still within the protection scope of the technical solution of the present application.

Claims

1. A method of generating a line defect profile, characterized by, The method comprises the following steps: S1, obtaining tower information collected by a UAV when patrolling a line, detecting defects of the tower according to the tower information, and establishing a tower identity information database according to the detection result and the tower information; S2, performing defect data mining on the tower identity information database and analyzing to obtain a defect summary table, the process being as follows: mining a shooting picture of a defect target corresponding to the tower in the tower identity information database, analyzing the defect target in the shooting picture, obtaining a component type corresponding to the defect target and a component defect description; classifying the component type to obtain a defect classification corresponding to the defect target; calling a defect property judgment condition corresponding to the component type, analyzing and judging the component defect description according to the defect property judgment condition, and obtaining a defect property corresponding to the defect target; constructing a defect summary table according to the component type, the component defect description, the defect classification, and the defect property corresponding to the defect target in the tower; S3, obtaining a GIS map containing the line through the tower identity information database; S4, extracting the defect classification and the defect property corresponding to the tower in the defect summary table, fusing defect data according to weight values corresponding to the defect classification and the defect property, and displaying the fusion result of the defect degree at the tower on the GIS map through different color marks to form a line defect distribution map; S4 comprises the following steps: S41, extracting the defect classification and the defect property corresponding to the tower in the defect summary table, and packing the component type and the defect property corresponding to the tower according to the same defect classification to form defect classification data; S42, extracting the same defect classification data corresponding to different towers, fusing the defect classification data according to a first weight value corresponding to the defect property to form a first line defect distribution map, and displaying the fusion result of the first defect degree at the tower on the GIS map through different color marks; S43, fusing the defect data according to a first weight value corresponding to the defect property and a second weight value corresponding to the defect classification to form a second line defect distribution map, and displaying the fusion result of the second defect degree at the tower on the GIS map through different color marks; different first line defect distribution maps are formed according to different defect classifications, the first line defect distribution map is used to display the defect degree of the tower under the same defect classification on the GIS map, and the second line defect distribution map is used to display the defect degree of the tower in the overall on the GIS map.

2. The method of claim 1, wherein When the UAV patrols the line, the towers in the line are photographed in turn according to the superior-inferior order of the towers, the tower information is obtained by analyzing the information collected from the shooting pictures, and the defect targets are marked on the shooting pictures by the detection frame through the defect detection, and the detection result is obtained.

3. The method of claim 1, wherein The process of constructing the defect summary table according to the component type corresponding to the defect target in the tower, the component defect description, the defect classification and the defect nature is as follows: the defect summary table is defined in advance, the towers in the line are numbered in turn according to the superior-inferior order, the number is taken as the column header of each column in each row, and then the component type corresponding to the defect target, the component defect description, the defect classification and the defect nature are stored in each row in turn.

4. The method of claim 1, wherein The process of the first defect degree fusion is as follows: a preset base number of the current defect classification is obtained, all defect classification data with the same defect classification as the current defect classification in one tower are extracted, the first weight value corresponding to the defect nature in all the defect classification data is obtained, the sum of all the first weight values is obtained, the sum is multiplied by the preset base number, and the result of the first defect degree fusion of one tower is obtained, and the same is repeated in turn.

5. The method of claim 1, wherein, The process of the second defect degree fusion is as follows: the first weight value corresponding to the defect nature and the second weight value corresponding to the defect classification are obtained, all defect data in one tower are extracted, the first weight value corresponding to the defect nature is multiplied by the second weight value corresponding to the defect classification in turn, the sum of the multiplied results is obtained, and the result of the second defect degree fusion of one tower is obtained, and the same is repeated in turn.

6. The method of claim 1, wherein The process of obtaining the GIS map containing the line through the tower identity information database is as follows: the unmanned aerial vehicle photographs the towers in the line in turn according to the superior-inferior order of the towers in the line, the tower information is obtained by information collection and analysis of the photographed pictures, at the same time, the position information of the tower is obtained by the GPS positioning of the unmanned aerial vehicle itself, the tower is mapped on the GIS map according to the position information of the tower, and the line is formed by connection.

7. A line defect profile generation system characterized by comprising: The application of the line defect distribution map generation method according to any one of claims 1-6 comprises: An identity information database construction module: obtaining the tower information collected by the unmanned aerial vehicle when inspecting the line, performing defect detection on the tower according to the tower information, and establishing a tower identity information database according to the detection result and the tower information; A defect summary table generation module: performing defect data mining on the tower identity information database and obtaining a defect summary table by analysis; A GIS map acquisition module: obtaining a GIS map containing the line through the tower identity information database; A line defect distribution map generation module: extracting the defect classification and the defect nature corresponding to the tower in the defect summary table, performing defect degree fusion on the defect data according to the weight values corresponding to the defect classification and the defect nature, and displaying the defect degree fusion result at the tower on the GIS map by different color marks to form a line defect distribution map.

Images