Line active operation and maintenance management platform and use method thereof

Abstract

The invention discloses a line active operation and maintenance management platform and a use method thereof, the line active operation and maintenance management platform comprises an active operation and maintenance management system, the active operation and maintenance management system is in communication connection with a plurality of client terminals, and the client terminals are used for clients to collect line images and add watermarks to generate to-be-uploaded images; the active operation and maintenance management system comprises a terminal management unit, a client management unit and a safety feedback unit. The invention relates to the technical field of line operation and maintenance. According to the line active operation and maintenance management platform and the use method thereof, through the arrangement of the active operation and maintenance management system and the plurality of client terminals, pedestrians are taken as clients to actively photograph and upload abnormal conditions of the line, and the abnormal conditions are found in time in a mode of establishing a three-dimensional simulation model to compare images, so that the operation efficiency of the line is improved. And related knowledge of the power grid is popularized to pedestrians, so that effective filling of a line inspection neutral period is realized, and effective support and guarantee are provided for line operation and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of line operation and maintenance, and in particular to a line active operation and maintenance management platform and a use method thereof. Background Art

[0002] The existing line operation and maintenance mainly relies on power grid operation and maintenance personnel, which has great personnel restrictions. Although there are high-tech tools such as drones to assist in operation and maintenance, compared with the huge power grid lines, there is still insufficient supervision. That is, in the gap between completing one line inspection and the next line inspection, there is a lack of effective understanding of line abnormalities.

[0003] As described in the operation and maintenance management system and method with application number 201810653147.9, it obtains the monitoring data of the line through the patrol and maintenance platform and sends the monitoring data to the analysis platform; the analysis platform formulates a maintenance plan based on the received monitoring data and sends the maintenance plan to the inspection and maintenance platform; the inspection and maintenance platform generates feedback information of the maintenance plan based on the maintenance operation information of the operation and maintenance resources corresponding to the maintenance plan, and sends the feedback information to the analysis platform. Although it realizes the processing of line patrol and subsequent maintenance, it still lacks line safety detection during the idle period.

[0004] Based on the retrieval of the above information, it can be seen that there is a problem that line abnormalities cannot be discovered and repaired in time during the gap period of line inspection. For this reason, a line active operation and maintenance management platform and its use method are proposed. Pedestrians are used as customers to actively take photos of line abnormalities and upload them. By building a three-dimensional simulation model to compare the images, abnormalities can be discovered in time, and relevant knowledge about the power grid can be popularized to pedestrians, so as to effectively fill the gap period of line inspection and provide effective support and guarantee for line operation and maintenance. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides a line active operation and maintenance management platform and a method for using the same, which solves the problem that line abnormalities cannot be discovered and repaired in time during the idle period of line inspection.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a line active operation and maintenance management platform, including an active operation and maintenance management system, the active operation and maintenance management system is communicatively connected to a number of customer terminals, the customer terminals are used for customers to collect line images, and add watermarks to generate images to be uploaded, the active operation and maintenance management system includes a terminal management unit, a customer management unit and a security feedback unit, the terminal management unit is used to establish a mapping relationship between the images to be uploaded and the corresponding customer terminals, the terminal management unit is connected to the customer management unit, the customer management unit is used to establish a three-dimensional simulation model based on the actual laying conditions of the line, and perform abnormal identification on the images to be uploaded, and the customer management unit is connected to the security feedback unit.

[0009] The present invention is further configured as follows: the client terminal includes a video acquisition module, an abnormal marking module, a position detection module, a data transmission module and a local storage module; the video acquisition module is connected to the abnormal marking module, the abnormal marking module is connected to the position detection module, the position detection module is connected to the data transmission module, and the data transmission module is connected to the local storage module.

[0010] The present invention is further configured as follows: the camera acquisition module is used for the customer to acquire line images and add time watermark information at a fixed position of the line image;

[0011] The abnormal marking module is used to allow customers to actively select and mark abnormal areas in the line image to obtain abnormal images;

[0012] The position detection module is used to detect the position coordinate information of the line image acquisition point, and add the position coordinate information as a watermark to a fixed position in the abnormal image to generate an image to be uploaded;

[0013] The data transmission module is used to upload the image to be uploaded and the terminal mark number to the active operation and maintenance management system;

[0014] The local storage module is used to store uploaded data information, as well as customer points, titles and ranking information.

[0015] The present invention is further configured as follows: the terminal management unit includes a terminal numbering module, a message processing module and a points recording module, the terminal numbering module is connected to the message processing module, and the message processing module is connected to the points recording module.

[0016] The present invention is further configured as follows: the terminal numbering module is used to sequentially mark the client terminals when the client downloads the client terminal, and obtain the terminal marking number of the client terminal corresponding to the client;

[0017] The message processing module is used to receive the image to be uploaded and the terminal mark number information, record the image to be uploaded as the image to be processed, establish a mapping relationship between the image to be processed and the client terminal corresponding to the terminal mark number, and upload the image to be processed to the client management unit;

[0018] The points recording module is used to record the points and title information of the client terminals corresponding to the terminal identification numbers, and to sort the client terminals according to the points.

[0019] The present invention is further configured as follows: the customer management unit includes a coordinate association module, a prejudgment analysis module, a work order generation module and a maintenance feedback module, the prejudgment analysis module is connected to the coordinate association module, the coordinate association module is connected to the work order generation module, the work order generation module is connected to the maintenance feedback module, and the maintenance feedback module is connected to the prejudgment analysis module;

[0020] The pre-judgment analysis module is connected to the message processing module.

[0021] The present invention is further configured as follows: the pre-judgment analysis module is used to establish a three-dimensional simulation model based on the actual laying conditions of the line, and after receiving the image to be processed, the abnormal marked area in the image to be processed is identified, and the abnormal marked area is proportionally scaled and compared with the three-dimensional simulation model. When the comparison results are consistent, it indicates that there is no abnormality, and a no-abnormality notification is directly issued to the client terminal corresponding to the image to be processed. When the comparison results are inconsistent, it indicates that an abnormality occurs;

[0022] The coordinate association module is used to determine the jurisdiction area to which the line belongs according to the position coordinate information in the corresponding image to be processed when an exception occurs, and serves as an exception processing end;

[0023] The work order generation module is used to generate a maintenance work order, which includes abnormal processing terminal information and image information to be processed;

[0024] The maintenance feedback module is used to take a line image at the position coordinates corresponding to the image to be processed after the maintenance work order task is completed, as a verification image, and record the cause of the abnormality and the corresponding solution as remark information, and feed the verification image back to the pre-judgment analysis module to update the three-dimensional simulation model;

[0025] The pre-judgment analysis module is also used to feed back the verification image and remark information to the message processing module, to control the message processing module to clear the record of the image to be processed, and to feed back the verification image to the client terminal corresponding to the image to be processed.

[0026] The present invention is further configured as follows: the safety feedback unit includes a safety analysis module, a feedback popularization module and a score title module, the safety analysis module is connected with the feedback popularization module, and the feedback popularization module is connected with the score title module;

[0027] The safety analysis module is connected to the pre-judgment analysis module.

[0028] The present invention is further configured as follows: the safety analysis module is used to determine whether the position coordinate information of the image to be processed is within the warning range of the three-dimensional simulation model, if yes, a warning notification containing possible danger is issued, if no, it is determined to be safe;

[0029] The feedback popularization module is used to identify the structure name in the image to be processed by comparing the three-dimensional simulation model with the image to be processed when there is no abnormality in the image to be processed, and interpret the structure name according to the structure name, and send the interpretation information in the form of pictures and texts to the client terminal corresponding to the image to be processed;

[0030] The points and title module is used to establish a gradient relationship between the points threshold and the title. When it is determined that an abnormality occurs in the image to be processed, one point is added to the corresponding customer terminal. When a warning notification containing possible danger is issued, one point is reduced from the corresponding customer terminal. When the total points value reaches a preset points threshold, the corresponding title is obtained.

[0031] The present invention also discloses a method for using a line active operation and maintenance management platform, which specifically includes the following steps:

[0032] Step 1: After the customer downloads the customer terminal, the terminal numbering module marks the customer terminal in sequence and obtains the terminal marking number of the corresponding customer's customer terminal. The customer authorizes the customer terminal location, network and camera permissions. When the customer finds a suspected abnormal problem in the line, the camera acquisition module collects the line image and adds time watermark information at a fixed position of the line image. The customer then actively selects and marks the abnormal area in the line image through the abnormal marking module to obtain the abnormal image. The position detection module then detects the position coordinate information of the line image acquisition point, and adds the position coordinate information as a watermark to a fixed position in the abnormal image to generate an image to be uploaded. The image to be uploaded and the terminal marking number are then uploaded to step 2 together through the data transmission module.

[0033] Step 2: The message processing module receives the image to be uploaded and the terminal mark number information, records the image to be uploaded as the image to be processed, establishes a mapping relationship between the image to be processed and the client terminal corresponding to the terminal mark number, and uploads the image to be processed to step 3;

[0034] Step 3: The prediction analysis module establishes a three-dimensional simulation model based on the actual laying of the line. After receiving the image to be processed, it identifies the abnormal marked area in the image to be processed and compares the abnormal marked area with the three-dimensional simulation model in equal proportion:

[0035] When the comparison results are consistent, it means there is no abnormality, and a notification of no abnormality is directly sent to the client terminal corresponding to the image to be processed, and then go to step 6;

[0036] If the comparison results are inconsistent, it indicates an abnormality, and go to step 4;

[0037] Step 4: When an exception occurs, the coordinate association module determines the jurisdiction area to which the line belongs according to the position coordinate information in the corresponding image to be processed, and as the exception handling end, uses the work order generation module to generate a maintenance work order, which includes the exception handling end information and the image to be processed information. After the maintenance work order task is completed, the maintenance personnel use the maintenance feedback module to take a line image at the corresponding position coordinate of the image to be processed as a verification image, and record the cause of the exception and the corresponding solution as remark information, and feed back the verification image to the pre-judgment analysis module to update the three-dimensional simulation model. The pre-judgment analysis module feeds back the verification image and the remark information to the message processing module, controls the message processing module to clear the image to be processed record, and feeds back the verification image to the client terminal corresponding to the image to be processed;

[0038] Step 5: determine whether the position coordinate information of the image to be processed is within the warning range of the three-dimensional simulation model through the safety analysis module. If yes, issue a warning notification containing possible danger; if no, determine that it is safe;

[0039] Step 6. When there is no abnormality in the image to be processed, the three-dimensional simulation model is compared with the image to be processed to identify the structure name in the image to be processed, and the structure name is interpreted through the feedback popularization module, and the interpretation information is sent to the client terminal corresponding to the image to be processed in the form of pictures and texts. At the same time, the point title module is used to establish a gradient relationship between the point threshold and the title. When it is determined that the image to be processed is abnormal, one point is added to the corresponding client terminal. When a warning notice containing possible danger is issued, one point is reduced for the corresponding client terminal. When the total point value reaches the preset point threshold, the corresponding title is obtained, and the client terminals are sorted according to the points through the point recording module, and the sorting results are displayed in the local storage module.

[0040] (III) Beneficial effects

[0041] The present invention provides a line active operation and maintenance management platform and a method for using the same. It has the following beneficial effects:

[0042] (1) The present invention uses an active operation and maintenance management system and several client terminals to take pedestrians as clients to actively take photos and upload them of abnormal line conditions. It also builds a three-dimensional simulation model to compare images, thereby promptly discovering abnormal conditions and popularizing power grid-related knowledge to pedestrians, thereby effectively filling the gaps in line inspections and providing effective support and guarantee for line operation and maintenance.

[0043] (2) The present invention ensures the authenticity and validity of the line image by adding time watermarks and position coordinate watermarks at fixed positions of the image, while providing convenient conditions for reading time information and position coordinate information. In addition, by actively selecting and marking abnormal areas of the line, the efficiency of subsequent comparison between abnormal areas and three-dimensional simulation models is effectively improved. The operation is simple and easy to use, and it also provides a reliable channel for the popularization of power grid knowledge.

[0044] (3) The present invention uses the customer terminal as the information storage carrier to reduce the information storage cost of the active operation and maintenance management system. At the same time, it attracts customers to actively upload line abnormality images by associating points with titles and sorting points, thereby providing effective abnormality monitoring to fill the gaps in line inspections and providing support for the discovery and timely maintenance of line abnormalities.

[0045] (4) The present invention compares the three-dimensional simulation model with the image to be processed. When an abnormality occurs, a work order for the area under the jurisdiction of the line is directly generated based on the position coordinate information of the image to be processed. After the work order task is completed, the cause of the abnormality and the corresponding solution are explained. While facilitating the learning of power grid knowledge, the position coordinate information is analyzed to determine whether the customer is within the line warning range, so as to further enhance the customer's safety awareness of the power grid line. In addition, when no abnormality occurs, the interpretation of the corresponding structure in the image to be processed can be popularized to the customer, thereby improving the customer's understanding of power grid line knowledge and improving the accuracy of subsequent judgment of line abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a system principle block diagram of the present invention;

[0047] Figure 2 It is a system principle block diagram of the terminal management unit, customer management unit and security feedback unit of the present invention.

[0048] In the figure, 1. Active operation and maintenance management system; 2. Customer terminal; 3. Terminal management unit; 4. Customer management unit; 5. Safety feedback unit; 6. Camera acquisition module; 7. Abnormal marking module; 8. Position detection module; 9. Data transmission module; 10. Local storage module; 11. Terminal numbering module; 12. Message processing module; 13. Points recording module; 14. Coordinate association module; 15. Pre-judgment analysis module; 16. Work order generation module; 17. Maintenance feedback module; 18. Safety analysis module; 19. Feedback popularization module; 20. Points title module. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0050] See also Figure 1-2 , the embodiment of the present invention provides the following two technical solutions:

[0051] Embodiment 1

[0052] A line active operation and maintenance management platform includes an active operation and maintenance management system 1 composed of a terminal management unit 3, a customer management unit 4 and a safety feedback unit 5, and a plurality of customer terminals 2, and the active operation and maintenance management system 1 is communicatively connected with the plurality of customer terminals 2.

[0053] The client terminal 2 uses a mobile phone as a carrier, and is used for the client to collect line images, and add watermarks to generate images to be uploaded. Specifically, the client terminal 2 includes a camera acquisition module 6, an abnormal marking module 7, a position detection module 8, a data transmission module 9 and a local storage module 10. The camera acquisition module 6 is used for the client to collect line images, and add time watermark information at a fixed position of the line image;

[0054] The camera acquisition module 6 is connected to the abnormal marking module 7, and the abnormal marking module 7 is used to actively select and mark abnormal areas in the line image for customers to obtain abnormal images;

[0055] The abnormal marking module 7 is connected to the position detection module 8, which is used to detect the position coordinate information of the line image collection point, and add the position coordinate information as a watermark to a fixed position in the abnormal image to generate an image to be uploaded;

[0056] The position detection module 8 is connected to the data transmission module 9, and the data transmission module 9 is used to upload the image to be uploaded and the terminal mark number to the active operation and maintenance management system 1;

[0057] The data transmission module 9 is connected to the local storage module 10, and the local storage module 10 is used to store uploaded data information, as well as customer points, titles and ranking information.

[0058] As a preferred solution, the terminal management unit 3 is used to establish a mapping relationship between the image to be uploaded and the corresponding client terminal 2. Specifically, the terminal management unit 3 includes a terminal numbering module 11, a message processing module 12 and a points recording module 13. The terminal numbering module 11 is used to sequentially mark the client terminal 2 when the client downloads the client terminal 2, and obtain the terminal marking number of the client terminal 2 corresponding to the client;

[0059] The terminal numbering module 11 is connected to the message processing module 12, and the message processing module 12 is used to receive the image to be uploaded and the terminal mark number information, record the image to be uploaded as the image to be processed, establish a mapping relationship between the image to be processed and the client terminal 2 corresponding to the terminal mark number, and upload the image to be processed to the client management unit 4;

[0060] The message processing module 12 is connected to the score recording module 13, which is used to record the score and title information of the client terminal 2 corresponding to the terminal mark number, and sort the client terminals 2 according to the score.

[0061] As a preferred solution, the terminal management unit 3 is connected to the customer management unit 4. The customer management unit 4 is used to establish a three-dimensional simulation model based on the actual laying of the line and perform abnormality identification on the uploaded image. Specifically, the customer management unit 4 includes a coordinate association module 14, a pre-judgment analysis module 15, a work order generation module 16 and a maintenance feedback module 17. The pre-judgment analysis module 15 is used to establish a three-dimensional simulation model based on the actual laying of the line. After receiving the image to be processed, the abnormal marked area in the image to be processed is identified, and the abnormal marked area is proportionally scaled and compared with the three-dimensional simulation model. When the comparison results are consistent, it indicates that there is no abnormality, and a no-abnormality notification is directly issued to the customer terminal 2 corresponding to the image to be processed. When the comparison results are inconsistent, it indicates that an abnormality occurs;

[0062] The prediction analysis module 15 is connected to the coordinate association module 14. The coordinate association module 14 is used to determine the jurisdiction area to which the line belongs according to the position coordinate information in the corresponding image to be processed when an abnormality occurs, and serves as an abnormality processing end;

[0063] The coordinate association module 14 is connected to the work order generation module 16, and the work order generation module 16 is used to generate a maintenance work order, which includes abnormal processing end information and image information to be processed;

[0064] The work order generation module 16 is connected to the maintenance feedback module 17. The maintenance feedback module 17 is used to take a line image at the position coordinates corresponding to the image to be processed after the maintenance work order task is completed, as a verification image, and record the cause of the abnormality and the corresponding solution as remark information, and feed the verification image back to the pre-judgment analysis module 15 to update the three-dimensional simulation model;

[0065] The maintenance feedback module 17 is connected to the prediction analysis module 15, and the prediction analysis module 15 is connected to the message processing module 12. The prediction analysis module 15 is also used to feed back the verification image and note information to the message processing module 12, and to control the message processing module 12 to clear the image records to be processed, and feed back the verification image to the customer terminal 2 corresponding to the image to be processed.

[0066] As a preferred solution, the customer management unit 4 is connected to the security feedback unit 5, and the security feedback unit 5 includes a points and title module 20. The points and title module 20 is used to establish a gradient relationship between the points threshold and the title. When it is determined that an abnormality occurs in the image to be processed, one point is added to the corresponding customer terminal 2. When the total points value reaches the preset points threshold, the corresponding title is obtained.

[0067] In this embodiment, by feeding back knowledge related to the power grid, pedestrians are attracted as customers to take the initiative to upload photos of line anomalies, and by building a three-dimensional simulation model for comparison, the image is pre-processed to determine whether it is abnormal, effectively filling the gap in line inspection.

[0068] Embodiment 2

[0069] This embodiment is an improvement of the previous embodiment, a line active operation and maintenance management platform, the safety feedback unit 5 also includes a safety analysis module 18 and a feedback popularization module 19, the safety analysis module 18 is connected to the pre-judgment analysis module 15, and the safety analysis module 18 is used to determine whether the position coordinate information of the image to be processed is within the warning range of the three-dimensional simulation model. If yes, a warning notification containing possible danger is issued, and if no, it is determined to be safe;

[0070] The safety analysis module 18 is connected to the feedback popularization module 19. The feedback popularization module 19 is used to identify the structure name in the image to be processed by comparing the three-dimensional simulation model with the image to be processed when there is no abnormality in the image to be processed, and interpret the structure name according to the structure name, and send the interpretation information in the form of pictures and texts to the client terminal 2 corresponding to the image to be processed;

[0071] The feedback popularization module 19 is connected to the point title module 20, and the point title module 20 is used to reduce one point of the corresponding customer terminal 2 when a warning notification containing a possible danger is issued.

[0072] The advantage of the second embodiment over the first embodiment is that, by analyzing the position coordinate information, a warning notification for customer safety is implemented to ensure the safety of the customer when subsequently acquiring abnormal line images.

[0073] A method for using a line active operation and maintenance management platform specifically comprises the following steps:

[0074] Step 1: After the customer downloads the customer terminal 2, the terminal numbering module 11 marks the customer terminal 2 in sequence, obtains the terminal marking number of the customer terminal 2 corresponding to the customer, and the customer authorizes the location, network and camera permissions of the customer terminal 2. When the customer finds a suspected abnormal problem in the line, the line image is collected through the camera acquisition module 6, and time watermark information is added at a fixed position of the line image. The customer then actively selects and marks the abnormal area in the line image through the abnormal marking module 7 to obtain the abnormal image, and then detects the position coordinate information of the line image collection point through the position detection module 8, and adds the position coordinate information as a watermark to a fixed position in the abnormal image to generate an image to be uploaded, and then uploads the image to be uploaded and the terminal marking number to step 2 through the data transmission module 9;

[0075] Step 2, the message processing module 12 receives the image to be uploaded and the terminal mark number information, records the image to be uploaded as the image to be processed, establishes a mapping relationship between the image to be processed and the client terminal 2 corresponding to the terminal mark number, and uploads the image to be processed to step 3;

[0076] Step 3: The prediction analysis module 15 establishes a three-dimensional simulation model based on the actual laying of the line. After receiving the image to be processed, it identifies the abnormal marked area in the image to be processed, and compares the abnormal marked area with the three-dimensional simulation model in equal proportion:

[0077] When the comparison results are consistent, it means there is no abnormality, and a no-abnormality notification is directly sent to the client terminal 2 corresponding to the image to be processed, and then go to step 6;

[0078] If the comparison results are inconsistent, it indicates an abnormality, and go to step 4;

[0079] Step 4: When an exception occurs, the coordinate association module 14 determines the jurisdiction of the line according to the position coordinate information in the corresponding image to be processed, and as the exception processing end, uses the work order generation module 16 to generate a maintenance work order, which includes the exception processing end information and the image to be processed information. After the maintenance work order task is completed, the maintenance personnel use the maintenance feedback module 17 to take a line image at the corresponding position coordinate of the image to be processed as a verification image, and record the cause of the exception and the corresponding solution as remark information, and feed back the verification image to the pre-judgment analysis module 15 to update the three-dimensional simulation model. The pre-judgment analysis module 15 feeds back the verification image and the remark information to the message processing module 12, controls the message processing module 12 to clear the image to be processed record, and feeds back the verification image to the client terminal 2 corresponding to the image to be processed;

[0080] Step 5: The safety analysis module 18 determines whether the position coordinate information of the image to be processed is within the warning range of the three-dimensional simulation model. If yes, a warning notification including possible danger is issued; if no, it is determined to be safe.

[0081] Step six, when there is no abnormality in the image to be processed, the structure name in the image to be processed is identified by comparing the three-dimensional simulation model with the image to be processed, and the feedback popularization module 19 is used to interpret the structure name, and the interpretation information is sent to the client terminal 2 corresponding to the image to be processed in the form of pictures and texts. At the same time, the point title module 20 is used to establish a gradient relationship between the point threshold and the title. When it is determined that the image to be processed has an abnormality, one point is added to the corresponding client terminal 2. When a warning notice containing possible danger is issued, one point is reduced for the corresponding client terminal 2. When the total point value reaches the preset point threshold, the corresponding title is obtained, and the client terminals 2 are sorted according to the points through the point recording module 13, and the sorting results are displayed in the local storage module 10.

Claims

1. A line active operation and maintenance management platform, comprising an active operation and maintenance management system (1), characterized in that: The active operation and maintenance management system (1) is connected to a plurality of client terminals (2) in communication. The client terminals (2) are used for clients to collect line images and add watermarks to generate images to be uploaded. The active operation and maintenance management system (1) comprises a terminal management unit (3), a client management unit (4) and a safety feedback unit (5). The terminal management unit (3) is used to establish a mapping relationship between the images to be uploaded and the corresponding client terminals (2). The terminal management unit (3) is connected to the client management unit (4). The client management unit (4) is used to establish a three-dimensional simulation model based on the actual laying conditions of the line and perform abnormality recognition on the images to be uploaded. The client management unit (4) is connected to the safety feedback unit (5).

2. A line active operation and maintenance management platform according to claim 1, characterized in that: The client terminal (2) comprises a video acquisition module (6), an abnormality marking module (7), a position detection module (8), a data transmission module (9) and a local storage module (10); the video acquisition module (6) is connected to the abnormality marking module (7), the abnormality marking module (7) is connected to the position detection module (8), the position detection module (8) is connected to the data transmission module (9), and the data transmission module (9) is connected to the local storage module (10).

3. A line active operation and maintenance management platform according to claim 2, characterized in that: The camera acquisition module (6) is used for the customer to capture line images and add time watermark information at a fixed position of the line image; The abnormal marking module (7) is used to allow customers to actively select and mark abnormal areas in the line image to obtain abnormal images; The position detection module (8) is used to detect the position coordinate information of the line image collection point, and add the position coordinate information as a watermark to a fixed position in the abnormal image to generate an image to be uploaded; The data transmission module (9) is used to upload the image to be uploaded and the terminal mark number to the active operation and maintenance management system (1); The local storage module (10) is used to store uploaded data information, as well as customer points, titles and ranking information.

4. A line active operation and maintenance management platform according to claim 3, characterized in that: The terminal management unit (3) comprises a terminal numbering module (11), a message processing module (12) and a points recording module (13); the terminal numbering module (11) is connected to the message processing module (12), and the message processing module (12) is connected to the points recording module (13).

5. A line active operation and maintenance management platform according to claim 4, characterized in that: The terminal numbering module (11) is used to sequentially mark the client terminal (2) when the client downloads the client terminal (2) and obtain the terminal marking number of the client terminal (2) corresponding to the client; The message processing module (12) is used to receive the image to be uploaded and the terminal mark number information, record the image to be uploaded as the image to be processed, establish a mapping relationship between the image to be processed and the client terminal (2) corresponding to the terminal mark number, and upload the image to be processed to the client management unit (4); The points recording module (13) is used to record the points and title information of the client terminal (2) corresponding to the terminal identification number, and to sort the client terminals (2) according to the points.

6. A line active operation and maintenance management platform according to claim 5, characterized in that: The customer management unit (4) comprises a coordinate association module (14), a pre-judgment analysis module (15), a work order generation module (16) and a maintenance feedback module (17), wherein the pre-judgment analysis module (15) is connected to the coordinate association module (14), the coordinate association module (14) is connected to the work order generation module (16), the work order generation module (16) is connected to the maintenance feedback module (17), and the maintenance feedback module (17) is connected to the pre-judgment analysis module (15); The pre-judgment analysis module (15) is connected to the message processing module (12).

7. The line active operation and maintenance management platform according to claim 1, characterized in that: The prejudgment analysis module (15) is used to establish a three-dimensional simulation model based on the actual laying conditions of the line. After receiving the image to be processed, the abnormal marked area in the image to be processed is identified, and the abnormal marked area is scaled and compared with the three-dimensional simulation model in equal proportion. When the comparison results are consistent, it indicates that there is no abnormality, and a no-abnormality notification is directly sent to the client terminal (2) corresponding to the image to be processed. When the comparison results are inconsistent, it indicates that an abnormality has occurred; The coordinate association module (14) is used to determine the jurisdiction area to which the line belongs according to the position coordinate information in the corresponding image to be processed when an abnormality occurs, and serves as an abnormality processing end; The work order generation module (16) is used to generate a maintenance work order, which includes abnormal processing terminal information and image information to be processed; The maintenance feedback module (17) is used to take a line image at a position corresponding to the position coordinate of the image to be processed after the maintenance work order task is completed, as a verification image, and record the cause of the abnormality and the corresponding solution as remark information, and feed the verification image back to the pre-judgment analysis module (15) to update the three-dimensional simulation model; The pre-judgment analysis module (15) is also used to feed back the verification image and remark information to the message processing module (12), to control the message processing module (12) to clear the record of the image to be processed, and to feed back the verification image to the client terminal (2) corresponding to the image to be processed.

8. A line active operation and maintenance management platform according to claim 7, characterized in that: The safety feedback unit (5) comprises a safety analysis module (18), a feedback popularization module (19) and a score title module (20), wherein the safety analysis module (18) is connected to the feedback popularization module (19), and the feedback popularization module (19) is connected to the score title module (20); The safety analysis module (18) is connected to the pre-judgment analysis module (15).

9. A line active operation and maintenance management platform according to claim 8, characterized in that: The safety analysis module (18) is used to determine whether the position coordinate information of the image to be processed is within the warning range of the three-dimensional simulation model, and if so, issue a warning notification containing possible danger, and if not, determine that it is safe; The feedback popularization module (19) is used to identify the structure name in the image to be processed by comparing the three-dimensional simulation model with the image to be processed when there is no abnormality in the image to be processed, interpret the structure name according to the structure name, and send the interpretation information in the form of graphics and text to the client terminal (2) corresponding to the image to be processed; The score and title module (20) is used to establish a gradient relationship between a score threshold and a title. When it is determined that an abnormality occurs in the image to be processed, one point is added to the corresponding client terminal (2). When a warning notification containing a possible danger is issued, one point is reduced from the corresponding client terminal (2). When the total score reaches a preset score threshold, the corresponding title is obtained.

10. A line active operation and maintenance management platform according to claim 9, characterized in that: The method of use specifically includes the following steps: Step 1: After the customer downloads the customer terminal (2), the terminal numbering module (11) sequentially marks the customer terminal (2) and obtains the terminal marking number of the customer terminal (2) corresponding to the customer. The customer authorizes the location, network and camera permissions of the customer terminal (2). When the customer finds a suspected abnormal problem in the line, the camera acquisition module (6) collects the line image and adds time watermark information at a fixed position of the line image. The customer then actively selects and marks the abnormal area in the line image through the abnormal marking module (7) to obtain the abnormal image. The position detection module (8) detects the position coordinate information of the line image acquisition point and adds the position coordinate information as a watermark to a fixed position in the abnormal image to generate an image to be uploaded. The image to be uploaded and the terminal marking number are then uploaded to step 2 together through the data transmission module (9); Step 2, the message processing module (12) receives the image to be uploaded and the terminal identification number information, records the image to be uploaded as the image to be processed, establishes a mapping relationship between the image to be processed and the client terminal (2) corresponding to the terminal identification number, and uploads the image to be processed to step 3; Step 3: The prediction analysis module (15) establishes a three-dimensional simulation model based on the actual laying of the line. After receiving the image to be processed, it identifies the abnormal marked area in the image to be processed and compares the abnormal marked area with the three-dimensional simulation model in equal proportion: When the comparison results are consistent, it means there is no abnormality, and a notification of no abnormality is directly sent to the client terminal (2) corresponding to the image to be processed, and then go to step 6; If the comparison results are inconsistent, it indicates an abnormality, and go to step 4; Step 4: When an abnormality occurs, the coordinate association module (14) determines the jurisdiction area to which the line belongs according to the position coordinate information in the corresponding image to be processed, and as the abnormality processing end, uses the work order generation module (16) to generate a maintenance work order, which includes the abnormality processing end information and the image to be processed information. After the maintenance work order task is completed, the maintenance personnel use the maintenance feedback module (17) to take a line image at the corresponding position coordinate of the image to be processed as a verification image, and record the cause of the abnormality and the corresponding solution as remark information, and feed the verification image back to the pre-judgment analysis module (15), update the three-dimensional simulation model, and the pre-judgment analysis module (15) feeds back the verification image and the remark information to the message processing module (12), controls the message processing module (12) to clear the image to be processed record, and feeds back the verification image to the client terminal (2) corresponding to the image to be processed; Step 5: judging whether the position coordinate information of the image to be processed is within the warning range of the three-dimensional simulation model through the safety analysis module (18); if yes, issuing a warning notification including possible danger; if no, judging it as safe; Step 6: When there is no abnormality in the image to be processed, the three-dimensional simulation model is compared with the image to be processed to identify the structure name in the image to be processed, and the feedback popularization module (19) is used to interpret the structure name, and the interpretation information is sent to the client terminal (2) corresponding to the image to be processed in the form of pictures and texts. At the same time, the point title module (20) is used to establish a gradient relationship between the point threshold and the title. When it is determined that the image to be processed is abnormal, one point is added to the corresponding client terminal (2). When a warning notice containing possible danger is issued, one point is reduced from the corresponding client terminal (2). When the total point value reaches a preset point threshold, the corresponding title is obtained, and the client terminals (2) are sorted according to the points through the point recording module (13). The sorting results are displayed in the local storage module (10).

Images