A rural appearance image data management platform and system

Abstract

The present application discloses a rural appearance image data management platform and system, which relates to the technical field of image data management. It includes a remote sensing analysis module: used to obtain remote sensing images of rural areas and obtain problem locations; an image description module: used to obtain rural images uploaded by rural residents and obtain appearance description statements; a statement analysis module: used to generate UAV operation instructions according to the appearance description statements; a UAV inspection module: used to establish an inspection UAV and obtain supplementary appearance images; a development analysis module: used to obtain rural development data; a solution generation module: used to generate problem solutions according to the supplementary appearance images; a correction record module: used to monitor the problem locations according to the problem solutions. The present application has the effects of improving the image accuracy and data update timeliness when ecological problems are found in rural areas, reducing the consumption of human resources, and reducing the possibility of being obscured by the inspected objects.

Description

Technical Field

[0001] This application relates to the technical field of image data management, and particularly to a rural appearance image data management platform and system. Background Art

[0002] With the rapid economic development, the industrial structure in rural areas has been continuously adjusted, promoting the development of the industrial structure and economy in rural areas and accelerating the process of rural construction. In the process of rural development, not only economic development needs to be emphasized, but also attention should be paid to the ecological environment in rural areas to provide people with a good living environment.

[0003] In the prior art, due to the scattered distribution of rural areas, it has become a difficult problem to supervise the ecological appearance of rural areas. When managing the ecological appearance of rural areas, satellite remote sensing or manual inspection and photography are mostly used to collect data on the ecological appearance in rural areas, and then the collected image data is analyzed. However, the image data captured by remote sensing satellites has a single angle and is not fine enough, and the method of manual inspection and photography has the disadvantages of high labor consumption, untimely data update, and the inspected objects deliberately coping with inspections, resulting in the problems existing in the ecological appearance of rural areas not being solved in time. Summary of the Invention

[0004] The purpose of the present invention is to provide a rural appearance image data management platform and system to solve the problems raised in the above background art.

[0005] In a first aspect, this application provides a rural appearance image data management system, which includes:

[0006] A remote sensing analysis module: used to obtain remote sensing images of rural areas, conduct a preliminary analysis on the remote sensing images, and obtain the problem locations where there are ecological appearance problems in rural areas;

[0007] An image description module: used to obtain rural area images uploaded by rural residents, screen the rural area images according to the problem locations to obtain first appearance images, and analyze the first appearance images to obtain appearance description statements;

[0008] A statement analysis module: used to obtain the completeness of the description of the problem locations according to the appearance description statements, judge whether the completeness exceeds a preset completeness threshold, and if it is judged that the completeness threshold does not exceed the preset completeness threshold, generate a drone operation instruction;

[0009] A drone inspection module: used to establish an inspection drone, the inspection drone conducts daily inspections and collects rural appearance images, and after receiving the drone operation instruction, supplementarily collects the first appearance images to obtain supplementary appearance images;

[0010] Development analysis module: used to screen the village and town images and the village and town appearance images to obtain the cultural appearance atlas and economic appearance atlas of the village and town, organize the cultural appearance atlas and the economic appearance atlas to generate a cultural and economic change table of the village and town, and obtain the village and town development data according to the cultural and economic change table;

[0011] Solution generation module: used to obtain a supplementary description according to the supplementary appearance image, combine the supplementary description and the problem location description to obtain the appearance problem description of the problem location, and generate a problem solution according to the appearance problem description and the village and town development data;

[0012] Correction record module: used to simulate and correct the ecological appearance problem of the problem location according to the problem solution to obtain a simulated correction result, monitor the problem location, collect the appearance correction picture and record the correction duration.

[0013] Preferably, the steps of obtaining the remote sensing image of the village and town and performing a preliminary analysis on the remote sensing image to obtain the problem location with ecological appearance problems in the village and town are specifically as follows:

[0014] Obtain the remote sensing image of the village and town, extract the image lines from the remote sensing image to obtain image lines, and reorganize the image lines to obtain a remote sensing frame line image;

[0015] Based on the remote sensing frame line image, divide the remote sensing image to obtain a plurality of sub-remote sensing images;

[0016] Flip each sub-remote sensing image and extract the flipped appearance features of the flipped sub-remote sensing image;

[0017] Select the flipped appearance features one by one as target features, and compare the target features with the adjacent flipped appearance features to obtain a plurality of comparison values;

[0018] If it is judged that a plurality of the comparison values are all lower than a preset comparison threshold, the sub-remote sensing image corresponding to the target feature is a problem image, obtain the image position of the problem image, and use the image position as the problem location with ecological appearance problems in the village and town.

[0019] Preferably, the steps of screening the village and town image according to the problem location to obtain a first appearance image and analyzing the first appearance image to obtain an appearance description statement are specifically as follows:

[0020] Perform image recognition on the village and town image, extract the detailed features in the village and town image, and convert the visual direction of the detailed features to an aerial view angle to obtain aerial view detailed features;

[0021] Based on the above-mentioned overlooking detail features, obtain the opposite value of the overlooking detail features and the target features. If it is determined that the opposite value is greater than or equal to a preset opposite threshold, then use the rural town image as the first appearance image;

[0022] Based on the detail features, extract the key points in the detail features, and generate multiple keywords according to the key points;

[0023] Based on multiple keywords, concatenate the keywords and perform semantic smoothing to obtain the appearance description statement of the first appearance image.

[0024] Preferably, the step of extracting the key points in the detail features and generating multiple keywords according to the key points based on the detail features is specifically as follows:

[0025] Based on the detail features, obtain the correlation degree between the detail features and the ecological appearance problems, and use the detail features whose correlation degree exceeds the preset correlation degree threshold as the target detail features;

[0026] Extract the key points in the target detail features, and obtain the problem type, problem degree, and problem range of the ecological appearance problems according to the key points;

[0027] Generate multiple keywords according to the problem type, the problem degree, and the problem range.

[0028] Preferably, according to the appearance description statement, obtain the completeness of the description of the problem location, and determine whether the completeness exceeds the preset completeness threshold. If it is determined that the completeness threshold does not exceed the preset completeness threshold, then the step of generating the UAV operation instruction is specifically as follows:

[0029] According to the appearance description statement, check the clarity of the appearance description statement to obtain the fuzzy segment with ambiguous description in the appearance description statement;

[0030] Based on the fuzzy segment, obtain the proportion of the fuzzy segment in the description statement and the description content of the fuzzy segment;

[0031] Based on the proportion and the description content, obtain the completeness of the description of the problem location, and determine whether the completeness exceeds the preset completeness threshold;

[0032] If it is determined that the completeness does not exceed the preset completeness threshold, then obtain the fuzzy content that needs to be supplemented based on the description content;

[0033] According to the fuzzy content, obtain the supplementary requirements of the description statement, and generate the UAV operation instruction according to the supplementary requirements.

[0034] Preferably, the steps of screening the rural town image and the rural town appearance image to obtain the cultural appearance atlas and the economic appearance atlas of the rural town are specifically as follows:

[0035] Integrate the rural town image and the rural town appearance image to obtain an appearance atlas, and perform value evaluation on the images in the appearance atlas to obtain an evaluation value;

[0036] Eliminate the images with the evaluation value lower than the preset value threshold to obtain a target appearance atlas;

[0037] Perform cultural recognition and economic recognition on the images in the target appearance atlas respectively to determine the image attributes of the images in the target appearance atlas;

[0038] Establish a cultural appearance atlas and an economic appearance atlas, and determine whether the image attributes are single. If the image attributes are single, classify the images according to the image attributes. If the image attributes are not single, classify the images into the cultural appearance atlas and the economic appearance atlas respectively.

[0039] Preferably, the steps of generating a problem solution according to the appearance problem description and the rural town development data are specifically as follows:

[0040] Obtain historical ecological governance data, and perform problem-related search on the historical ecological governance data according to the appearance problem description to obtain associated historical data;

[0041] Based on the associated historical data, obtain historical solutions and the corresponding historical rural town backgrounds of the historical solutions;

[0042] According to the rural town development data, obtain the current rural town background, and perform a differential comparison between the current rural town background and the historical rural town background to obtain a background difference;

[0043] Based on the background difference, perform background adaptability adjustment on the historical solutions to generate a problem solution.

[0044] Preferably, the steps of performing simulation correction on the ecological appearance problem at the problem location according to the problem solution to obtain a simulation correction result, monitoring the problem location, collecting the appearance correction screen, and recording the correction duration are specifically as follows:

[0045] Generate a simulated problem environment based on the ecological appearance problem at the problem location, and perform simulation correction on the simulated problem environment according to the problem solution to obtain a simulation correction result;

[0046] Monitor the problem location, collect the appearance correction screen, and determine whether the appearance correction screen is consistent with the simulated correction result;

[0047] If it is determined that the appearance correction screen is inconsistent with the simulated correction result, continue to monitor and repeat the determination;

[0048] If it is determined that the appearance correction screen is consistent with the simulated correction result, record the time point of the last determination;

[0049] Based on the time point, obtain the correction duration, and determine whether the correction duration exceeds the preset correction period. If it is determined that the correction duration exceeds the correction period, generate a warning and send it to the person responsible for problem correction.

[0050] In a second aspect, the present application provides a rural appearance image data management platform, which includes:

[0051] Obtain the remote sensing image of the village and town, conduct a preliminary analysis on the remote sensing image to obtain the problem locations with ecological appearance problems in the village and town;

[0052] Obtain the village and town images uploaded by village and town residents, screen the village and town images according to the problem locations to obtain the first appearance images, and analyze the first appearance images to obtain appearance description statements;

[0053] According to the appearance description statement, obtain the completeness of the description of the problem location, and determine whether the completeness exceeds the preset completeness threshold. If it is determined that the completeness threshold does not exceed the preset completeness threshold, generate a drone operation instruction;

[0054] Establish an inspection drone. The inspection drone conducts daily inspections and collects village and town appearance images. After receiving the drone operation instruction, it conducts supplementary collection on the first appearance images to obtain supplementary appearance images;

[0055] Screen the village and town images and the village and town appearance images to obtain the cultural appearance atlas and economic appearance atlas of the village and town, organize the cultural appearance atlas and the economic appearance atlas to generate a cultural and economic change table of the village and town, and obtain the village and town development data according to the cultural and economic change table;

[0056] According to the supplementary appearance images, obtain supplementary descriptions, combine the supplementary descriptions and the problem location descriptions to obtain the appearance problem descriptions of the problem locations, and generate problem solutions according to the appearance problem descriptions and the village and town development data;

[0057] According to the problem solution, simulate and correct the ecological appearance problems at the problem locations to obtain the simulation correction results, monitor the problem locations, collect the appearance correction images and record the correction duration.

[0058] In summary, the present application includes at least one of the following beneficial technical effects:

[0059] By obtaining the remote sensing images of the villages and towns, and preliminarily processing the remote sensing images to find the problem locations of the ecological problems existing in the villages and towns, the possibility of problems caused by low accuracy in the use of the remote sensing images is reduced. Then, describe the problems existing in the problem locations through the village and town images uploaded by the villagers and the village and town appearance images captured by the inspection drones to obtain the appearance problem description; sort out the changes in the human culture and economy of the villages and towns based on the village and town images and the village and town appearance images to obtain the village and town development data, combine the village and town development data and the appearance problem description to obtain the problem solution, and monitor the solution process of the ecological environment problems. When the ecological problems are closed-loop, record the correction duration of this time. The image accuracy and the timeliness of data update when discovering ecological problems in the villages and towns are improved, and the consumption of human resources and the possibility of the problem being covered by the inspected object are reduced. Description of the Drawings

[0060] Figure 1 is a module block diagram of a village and town appearance image data management system provided by an embodiment of the present application;

[0061] Figure 2 is a step flow chart of a village and town appearance image data management platform provided by an embodiment of the present application.

[0062] Description of the reference numerals: 1, remote sensing analysis module; 2, image description module; 3, statement analysis module; 4, drone inspection module; 5, development analysis module; 6, solution generation module; 7, correction record module. Detailed Embodiments

[0063] The following is a further detailed description of the present application in conjunction with Figure 1 - Figure 2 This application is further described in detail below, but the implementation manners of the present invention are not limited thereto.

[0064] An embodiment of the present application discloses a village and town appearance image data management platform and system.

[0065] In this embodiment, a village and town appearance image data management system includes:

[0066] Remote sensing analysis module 1: used to obtain the remote sensing images of the villages and towns, and perform preliminary analysis on the remote sensing images to obtain the problem locations of the ecological appearance problems existing in the villages and towns;

[0067] Image description module 2: It is used to obtain the rural images uploaded by rural residents, screen the rural images according to the problem location to obtain the first appearance image, and analyze the first appearance image to obtain the appearance description statement;

[0068] Statement analysis module 3: It is used to obtain the completeness of the description of the problem location according to the appearance description statement, judge whether the completeness exceeds the preset completeness threshold. If it is judged that the completeness threshold does not exceed the preset completeness threshold, a drone operation instruction is generated;

[0069] Drone inspection module 4: It is used to establish an inspection drone. The inspection drone conducts daily inspections and collects rural appearance images. After receiving the drone operation instruction, it supplements the collection of the first appearance image to obtain the supplementary appearance image;

[0070] Development analysis module 5: It is used to screen the rural images and rural appearance images to obtain the humanistic appearance atlas and economic appearance atlas of the village, organize the humanistic appearance atlas and economic appearance atlas, generate the humanistic and economic change table of the village, and obtain the rural development data according to the humanistic and economic change table;

[0071] Solution generation module 6: It is used to obtain the supplementary description according to the supplementary appearance image, combine the supplementary description and the problem location description to obtain the appearance problem description of the problem location, and generate a problem solution according to the appearance problem description and the rural development data;

[0072] Correction record module 7: It is used to simulate and correct the ecological appearance problem of the problem location according to the problem solution to obtain the simulation correction result, monitor the problem location, collect the appearance correction picture and record the correction duration.

[0073] It should be noted that the above modules are only the basic modules of this embodiment. In the specific implementation process, without affecting the overall implementation effect, some modules can be appropriately added, reduced or modified.

[0074] The steps of obtaining the remote sensing image of the village and conducting a preliminary analysis on the remote sensing image to obtain the problem location where there are ecological appearance problems in the village are specifically as follows:

[0075] Obtain the remote sensing image of the village, extract the image lines from the remote sensing image to obtain the image lines, and reorganize the image lines to obtain the remote sensing frame line image;

[0076] Based on the remote sensing frame line image, divide the remote sensing image to obtain multiple sub-remote sensing images;

[0077] Flip each sub-remote sensing image and extract the flipped appearance features of the flipped sub-remote sensing image;

[0078] Select the flipped appearance features one by one as the target features, and compare the target features with the adjacent flipped appearance features to obtain multiple comparison values;

[0079] If it is determined that all the multiple comparison values are lower than the preset comparison threshold, the sub-remote sensing image corresponding to the target feature is a problem image. Obtain the image position of the problem image, and use the image position as the problem position where there are ecological appearance problems in the village or town.

[0080] In the application, taking a northern village as an example, obtain the remote sensing image of the village. The remote sensing image includes the residential area of the residents and the surrounding farmland and forest areas. Extract the lines from the remote sensing image. The extracted lines are mainly roads, water bank boundaries, etc., to obtain the remote sensing frame line image. The remote sensing frame line image divides the entire village into sub-remote sensing images of small areas. After flipping each sub-remote sensing image, extract the flipped appearance features therein. Select one of them as the target feature and compare it with the surrounding flipped appearance features. If it is found that the target feature is different from the flipped appearance features of the surrounding farmland or village, it is determined that there are ecological appearance problems in the area of the sub-remote sensing image where this target feature is located, and the problem position is obtained.

[0081] The steps of screening the village or town image according to the problem position to obtain the first appearance image and analyzing the first appearance image to obtain the appearance description statement are specifically as follows:

[0082] Perform image recognition on the village or town image, extract the detailed features in the village or town image, and convert the visual direction of the detailed features to the bird's-eye view angle to obtain the bird's-eye view detailed features;

[0083] Based on the bird's-eye view detailed features, obtain the opposite value of the bird's-eye view detailed features and the target features. If it is determined that the opposite value is greater than or equal to the preset opposite threshold, use the village or town image as the first appearance image;

[0084] Based on the detailed features, extract the key points in the detailed features, and generate multiple keywords according to the key points;

[0085] Based on the multiple keywords, concatenate the keywords and perform semantic smoothing to obtain the appearance description statement of the first appearance image.

[0086] In operation, taking a northern village as an example, the residents of the village will upload the images of the village and town they captured from time to time. For example, in an image of a village and town, there is a large garbage dump beside a farmland. Extract the detailed features in the image of the village and town, including the farmland features and the garbage dump features, etc. Adjust the visual directions of these two features to the bird's-eye view angle to obtain the bird's-eye view of the farmland features and the bird's-eye view of the garbage dump features. Compare these two features at the bird's-eye view angle with the target feature. It is found that after the garbage dump feature is rotated 180 degrees, it coincides with the target feature. Then, take this image of the village and town as the first appearance image. Find the key points in the garbage dump feature, such as the color distribution of the garbage dump and the size of the garbage dump, etc. And obtain multiple keywords based on these key points, such as mixed garbage, five meters in diameter, etc. String the keywords together and conduct semantic smoothing to obtain the appearance description statement of "beside the wheat farmland, there is a mixed garbage dump with a diameter of five meters, and this garbage dump causes serious pollution to the surrounding environment".

[0087] The steps of extracting the key points in the detailed features and generating multiple keywords based on the key points are specifically as follows:

[0088] Based on the detailed features, obtain the correlation degree between the detailed features and the ecological appearance problems, and take the detailed features with the correlation degree exceeding the preset correlation degree threshold as the target detailed features;

[0089] Extract the key points in the target detailed features, and obtain the problem type, problem degree, and problem scope of the ecological appearance problems based on the key points;

[0090] Generate multiple keywords according to the problem type, problem degree, and problem scope.

[0091] In operation, taking a northern village as an example, according to the farmland features and the garbage dump features, the correlation degrees with the ecological appearance problems are obtained as 0 and 80. Then, take the garbage dump feature as the target detailed feature, and extract the key points in it, such as the color distribution of the garbage dump and the size of the garbage dump, etc. According to these key points, the problem type of the garbage dump affecting the ecological appearance is garbage pollution, the problem degree is serious pollution, and the problem scope is within fifty meters around, etc. Generate multiple keywords based on the above content.

[0092] According to the appearance description statement, obtain the completeness of the description of the problem location, and judge whether the completeness exceeds the preset completeness threshold. If it is judged that the completeness threshold does not exceed the preset completeness threshold, the steps of generating the UAV operation instruction are specifically as follows:

[0093] According to the appearance description statement, check the clarity of the appearance description statement, and obtain the fuzzy fragments with fuzzy descriptions in the appearance description statement;

[0094] Based on the fuzzy segments, obtain the proportion of the fuzzy segments in the description statement and the description content of the fuzzy segments;

[0095] Based on the proportion and the description content, obtain the completeness of the problem location description, and determine whether the completeness exceeds a preset completeness threshold;

[0096] If it is determined that the completeness does not exceed the preset completeness threshold, then obtain the fuzzy content that needs to be supplemented based on the description content;

[0097] According to the fuzzy content, obtain the supplementary requirements of the description statement, and generate UAV operation instructions according to the supplementary requirements.

[0098] During operation, taking a certain northern village as an example, according to the obtained appearance description statement, perform a clarity check on it, and it is found that there are relatively large fuzzy segments with unclear descriptions in the appearance description statement, resulting in the unusability of the appearance description statement. Then, extract that the proportion of the fuzzy segments is 50%, and the description content is specific ecological appearance problems. Then, according to this proportion and the description content, obtain the supplementary requirements that still need to be supplemented, and then generate UAV operation instructions according to this supplementary requirement, such as taking pictures of the south direction of the problem location and the boundary pictures of the ecological appearance problem.

[0099] The steps of screening the village and town images and the village and town appearance images to obtain the human appearance atlas and the economic appearance atlas of the village and town are specifically as follows:

[0100] Integrate the village and town images and the village and town appearance images to obtain an appearance atlas, and perform a value evaluation on the images in the appearance atlas to obtain an evaluation value;

[0101] Eliminate the images with an evaluation value lower than the preset value threshold to obtain the target appearance atlas;

[0102] Perform human recognition and economic recognition on the images in the target appearance atlas respectively to determine the image attributes of the images in the target appearance atlas;

[0103] Establish a human appearance atlas and an economic appearance atlas, and determine whether the image attributes are single. If the image attributes are single, classify the images according to the image attributes. If the image attributes are not single, classify the images into the human appearance atlas and the economic appearance atlas respectively.

[0104] In operation, taking a northern village as an example, after screening the village and town images and the village and town appearance images, an appearance atlas is obtained. At the same time, the evaluation values of each image in the appearance atlas are 2, 43, 65, 77, 3, 6, 98, 5, etc. The images with an evaluation value lower than 20 are deleted to obtain the target appearance atlas. At the same time, the remaining images are subjected to human and economic identification, and the image attributes of each image are obtained as human, human, economic, economic, human, and economic, etc. The images with a single attribute are classified into the corresponding human appearance atlas or economic appearance atlas, and the images with multiple attributes are classified into the human appearance atlas. At the same time, a copy is made and classified into the economic appearance atlas.

[0105] The steps for generating a problem solution based on the appearance problem description and the village and town development data are as follows:

[0106] Obtain historical ecological governance data, and perform problem-related searches on the historical ecological governance data according to the appearance problem description to obtain related historical data;

[0107] Based on the related historical data, obtain the historical solution method and the corresponding historical village and town background of the historical solution method;

[0108] According to the village and town development data, obtain the current village and town background, and perform a differential comparison between the current village and town background and the historical village and town background to obtain the background difference;

[0109] Based on the background difference, perform background adaptability adjustment on the historical solution method to generate a problem solution.

[0110] In operation, taking a northern village as an example, obtain the historical ecological governance data of the entire north, and perform a problem-related search in the historical ecological governance data according to the description of large garbage dumps mentioned in the appearance problem description to obtain related historical data related to the treatment of large garbage dumps. According to this related historical data, obtain the historical solution method for large garbage dumps in history and the historical village and town background at that time. According to the village and town development data, obtain the current village and town background, and find that the current village and town background is that the economic conditions have improved and the facilities are modernized, which is very different from the historical village and town background, obtaining the background difference. According to the background difference, perform background adaptability adjustment on the historical solution method. For example, in the historical solution method, the garbage was directly landfilled, and now it is adjusted to send the garbage to the garbage treatment plant centrally, and at the same time, purify and backfill the soil near the garbage.

[0111] The steps for simulating and correcting the ecological appearance problem at the problem location according to the problem solution to obtain the simulation correction result, monitoring the problem location, collecting the appearance correction screen, and recording the correction duration are as follows:

[0112] Generate a simulated problem environment for ecological appearance problems based on the problem location, and perform simulated correction on the simulated problem environment according to the problem solution to obtain a simulated correction result;

[0113] Monitor the problem location, collect the appearance correction screen, and determine whether the appearance correction screen is consistent with the simulated correction result;

[0114] If it is determined that the appearance correction screen is inconsistent with the simulated correction result, continue to monitor and repeat the determination;

[0115] If it is determined that the appearance correction screen is consistent with the simulated correction result, record the time point of the last determination;

[0116] Obtain the correction duration based on the time point, and determine whether the correction duration exceeds the preset correction period. If it is determined that the correction duration exceeds the correction period, generate a warning and send it to the person in charge of problem correction.

[0117] In operation, taking a northern village as an example, generate a simulated problem environment according to the ecological appearance problems of a large garbage dump, and use the problem solution to correct the simulated problem environment in the simulated problem environment to obtain a correction result, which includes the correction time and the correction effect. Then monitor the problem location in reality, collect the appearance correction screen. When the correction effect in the appearance correction screen is consistent with the simulated correction effect, close the loop for the appearance problem, and record the actual correction duration at the same time. Otherwise, keep monitoring and compare every once in a while. Preset a correction period, which is greater than the correction time. When it is found that the correction duration is greater than the correction period, indicating that the correction project of the village appearance is overdue, generate a warning and send it to the relevant project person in charge.

[0118] An embodiment of the present invention provides a management platform for rural appearance image data, using a rural appearance image data management system as described in any one of the above. The platform includes:

[0119] S100: Obtain the remote sensing image of the village and perform a preliminary analysis on the remote sensing image to obtain the problem location where there are ecological appearance problems in the village;

[0120] S200: Obtain the village images uploaded by village residents, screen the village images according to the problem location to obtain the first appearance image, and analyze the first appearance image to obtain an appearance description statement;

[0121] S300: According to the appearance description statement, obtain the completeness of the description of the problem location, and determine whether the completeness exceeds the preset completeness threshold. If it is determined that the completeness threshold does not exceed the preset completeness threshold, generate a drone operation instruction;

[0122] S400: Establish an inspection drone. The inspection drone conducts daily inspections and collects images of the appearance of villages and towns. After receiving a drone operation instruction, it supplements the collection of the first appearance image to obtain a supplementary appearance image;

[0123] S500: Screen the village and town images and the village and town appearance images to obtain an atlas of the humanistic appearance and an atlas of the economic appearance of the village and town. Organize the atlas of the humanistic appearance and the atlas of the economic appearance to generate a table of the humanistic and economic changes in the village and town, and obtain the development data of the village and town based on the table of the humanistic and economic changes;

[0124] S600: Obtain a supplementary description based on the supplementary appearance image, combine the supplementary description and the problem location description to obtain an appearance problem description of the problem location, and generate a problem solution based on the appearance problem description and the village and town development data;

[0125] S700: According to the problem solution, simulate and correct the ecological appearance problem of the problem location to obtain a simulation correction result, monitor the problem location, collect the appearance correction screen and record the correction duration.

[0126] The above are all preferred embodiments of this application, and the protection scope of this application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of this application shall be covered within the protection scope of this application.

Claims

1. A management system based on village and town appearance image data, characterized in that: include: Remote sensing analysis module: used to obtain remote sensing images of villages and towns, conduct preliminary analysis on the remote sensing images, and obtain the locations of ecological problems in villages and towns; Image description module: used to obtain village and town images uploaded by village and town residents, filter the village and town images according to the problem location, obtain a first appearance image, analyze the first appearance image, and obtain an appearance description statement; A statement analysis module: used to obtain the completeness of the description of the problem location according to the appearance description statement, and determine whether the completeness exceeds a preset completeness threshold. If it is determined that the completeness threshold does not exceed the preset completeness threshold, a drone operation instruction is generated; UAV inspection module: used to establish an inspection UAV, which performs daily inspections and collects village and town appearance images, and after receiving the operation instruction of the UAV, supplements the first appearance image to obtain a supplementary appearance image; Development analysis module: used for screening the village and town images and the village and town appearance images to obtain the human appearance atlas and economic appearance atlas of the village and town, sorting the human appearance atlas and the economic appearance atlas to generate a human economic change table of the village and town, and obtaining the village and town development data according to the human economic change table; Solution generation module: used to obtain a supplementary description based on the supplementary appearance image, obtain an appearance problem description of the problem location by combining the supplementary description and the problem location description, and generate a problem solution based on the appearance problem description and the village and town development data; Correction recording module: used to simulate and correct the ecological appearance problem of the problem location according to the problem solution, obtain the simulation correction result, monitor the problem location, collect the appearance correction picture and record the correction time; The steps of screening the village and town images according to the problem location to obtain a first appearance image, and analyzing the first appearance image to obtain an appearance description statement are specifically as follows: Performing image recognition on the village and town image, extracting detail features in the village and town image, and converting the visual direction of the detail features into a bird's-eye view angle to obtain bird's-eye view detail features; Based on the bird's-eye view detail feature, an opposite value between the bird's-eye view detail feature and the target feature is obtained, and if it is determined that the opposite value is greater than or equal to a preset opposite threshold, the village and town image is used as a first appearance image; Based on the detail features, extract key points in the detail features, and generate multiple keywords according to the key points; Based on the multiple keywords, the keywords are connected in series and semantically clarified to obtain an appearance description sentence of the first appearance image.

2. A village and town appearance image data management system according to claim 1, characterized in that: The steps of obtaining remote sensing images of villages and towns, performing preliminary analysis on the remote sensing images, and obtaining the locations of ecological problems in villages and towns are as follows: Acquire a remote sensing image of a town or village, extract lines from the remote sensing image to obtain image lines, and reorganize the image lines to obtain a remote sensing frame line image; Based on the remote sensing frame line image, the remote sensing image is divided to obtain a plurality of sub-remote sensing images; Performing image flipping on each remote sensing sub-image, and extracting flipped appearance features of the flipped remote sensing sub-image; Selecting flipped appearance features one by one as target features, and comparing the target features with adjacent flipped appearance features to obtain multiple comparison values; If it is determined that multiple comparison values ​​are all lower than the preset comparison threshold, then the sub-remote sensing image corresponding to the target feature is a problem image, and the image position of the problem image is obtained, and the image position is used as the problem position where ecological appearance problems exist in villages and towns.

3. A village and town appearance image data management system according to claim 1, characterized in that: Based on the detail features, the steps of extracting key points in the detail features and generating multiple keywords according to the key points are specifically as follows: Based on the detail features, the correlation between the detail features and the ecological appearance problem is obtained, and the detail features whose correlation exceeds a preset correlation threshold are used as target detail features; Extracting key points from the target detail features, and obtaining the problem type, problem degree and problem scope of the ecological appearance problem according to the key points; A plurality of keywords are generated according to the problem type, the problem degree and the problem scope.

4. A village and town appearance image data management system according to claim 1, characterized in that: According to the appearance description statement, the completeness of the description of the problem location is obtained, and whether the completeness exceeds a preset completeness threshold is determined. If it is determined that the completeness threshold does not exceed the preset completeness threshold, the step of generating a drone operation instruction is specifically as follows: According to the appearance description sentence, the clarity of the appearance description sentence is checked to obtain a blurred segment with blurred description in the appearance description sentence; Based on the fuzzy segments, obtaining the proportion of the fuzzy segments in the description sentence and the description content of the fuzzy segments; Obtaining the completeness of the problem location description based on the proportion and the description content, and determining whether the completeness exceeds a preset completeness threshold; If it is determined that the completeness does not exceed a preset completeness threshold, obtaining the fuzzy content that needs to be supplemented based on the description content; Supplementary requirements of the description statement are obtained according to the fuzzy content, and drone operation instructions are generated according to the supplementary requirements.

5. The system according to claim 1, characterized in that: The steps of screening the village and town images and the village and town appearance images to obtain the human appearance atlas and the economic appearance atlas of the village and town are specifically as follows: Integrate the village and town images and the village and town appearance images to obtain an appearance atlas, and perform value assessment on the images in the appearance atlas to obtain an assessment value; Eliminate images whose evaluation values ​​are lower than a preset value threshold to obtain a target appearance atlas; Performing humanities recognition and economic recognition on the images in the target appearance atlas respectively to determine image attributes of the images in the target appearance atlas; Establish a human appearance atlas and an economic appearance atlas, and determine whether the image attribute is single. If the image attribute is single, classify the image according to the image attribute. If the image attribute is not single, classify the image into the human appearance atlas and the economic appearance atlas respectively.

6. A village and town appearance image data management system according to claim 5, characterized in that: The steps of generating a solution to the problem according to the appearance problem description and the village and town development data are specifically as follows: Acquire historical ecological governance data, and perform problem association search on the historical ecological governance data according to the appearance problem description to obtain associated historical data; Based on the associated historical data, a historical solution and a historical village and town background corresponding to the historical solution are obtained; According to the village and town development data, the current village and town background is obtained, and the current village and town background and the historical village and town background are differentiated and compared to obtain background differences; Based on the background differences, the historical solutions are adjusted for background adaptability to generate problem solutions.

7. A management system based on village and town appearance image data according to claim 6, characterized in that: According to the problem solution, the ecological appearance problem of the problem location is simulated and corrected to obtain the simulation correction result, the problem location is monitored, the appearance correction picture is collected and the correction time is recorded, specifically, the steps are: Generate a simulated problem environment based on the ecological appearance problem of the problem location, and simulate and correct the simulated problem environment according to the problem solution to obtain a simulated correction result; Monitoring the problem location, collecting an appearance correction image, and determining whether the appearance correction image is consistent with the simulation correction result; If it is determined that the appearance correction image is inconsistent with the simulation correction result, continue monitoring and repeat the determination; If it is determined that the appearance correction image is consistent with the simulation correction result, the time point of the last determination is recorded; A correction time is obtained based on the time point, and it is determined whether the correction time exceeds a preset correction period. If it is determined that the correction time exceeds the correction period, a warning is generated and sent to the person responsible for correcting the problem.

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