A land planning surveying and mapping information analysis method and system suitable for land consolidation projects

Abstract

The application relates to the technical field of land planning, in particular to a land planning surveying and mapping information analysis method and system suitable for land consolidation projects, which comprises the following steps: acquiring unmanned aerial vehicle aerial image and extracting a land class map patch to obtain present situation surveying and mapping information vector data; performing spatial matching comparison on the present situation surveying and mapping information vector data and planning red line data to obtain deviation patch units with inconsistent patch attributes; dividing the deviation patch units into illegal patch units and to-be-reviewed patch units according to attribute information of the deviation patch units; writing coordinate information of the illegal patch units into a first storage space, and writing coordinate information of the to-be-reviewed patch units into a second storage space. The present application can quickly acquire present situation surveying and mapping information through unmanned aerial vehicle aerial photography and automatic extraction of a land class map patch, reduces the time and labor cost of traditional manual measurement, and improves the overall efficiency of land consolidation projects.

Description

Technical Field

[0001] This invention relates to the field of land planning technology, specifically to a method and system for analyzing land planning and surveying information applicable to land consolidation projects. Background Technology

[0002] With the rapid development of global urbanization, the demand for land resources has increased dramatically. Urban expansion, population growth, and economic activities have placed higher demands on land use, requiring more precise and efficient land planning and management methods to ensure the rational use of land resources.

[0003] Currently, traditional manual surveying typically requires a significant amount of time for on-site surveying, data recording, and data processing, resulting in low overall work efficiency, especially when surveying large areas of land. Furthermore, traditional methods rely on manual operation, requiring not only professional personnel for measurement but also substantial human resources, which increases the overall cost of land consolidation projects.

[0004] Furthermore, traditional methods are relatively slow in data updates and processing, making real-time monitoring impossible. This can lead to an insufficient response to changes in land use, affecting the timeliness and effectiveness of decision-making. Moreover, traditional methods often process individual land parcels, lacking a holistic analysis of land use status. This makes it difficult to comprehensively and systematically identify and address violations, easily overlooking potential problems. Summary of the Invention

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for analyzing land planning and surveying information applicable to land consolidation projects, comprising: Aerial images taken by UAVs are acquired and land use patches are extracted to obtain vector data of current surveying information. The vector data of current surveying information is spatially overlaid and compared with the planning red line data to obtain the deviation patch units with inconsistent patch attributes. Based on the attribute information of the deviation patch units, the deviation patch units are divided into non-compliant patch units and patch units to be reviewed; the coordinate information of the non-compliant patch units is written into the first storage space, and the coordinate information of the patch units to be reviewed is written into the second storage space; Read the coordinates of the map patch unit to be reviewed in the second storage space, retrieve historical survey and mapping archives and current scene photos for on-site inspection and verification; in response to the verification result that the current situation does not conform to the plan, determine the corresponding map patch unit to be reviewed as the target illegal map patch unit, and transfer the coordinates of the target illegal map patch unit from the second storage space to the first storage space; Based on the coordinates of all illegal patch units recorded in the first storage space, adjacent deviation patch units that are spatially adjacent to the target illegal patch unit are selected; in response to the existence of adjacent deviation patch units and the formation of a concentrated contiguous area with the target illegal patch unit, the total number of deviation patch units in the concentrated contiguous area is calculated. In response to the total number of deviation patch units in a contiguous area being greater than or equal to a set threshold, the land use of the planned plots corresponding to the contiguous area is adjusted; in response to the total number of deviation patch units in a contiguous area being less than the threshold, the number of illegal patch units within each target area is counted based on the coordinates in the first storage space. When the number of illegal map plots in the target area is greater than or equal to the area threshold, the planning plots corresponding to the target area will be included in the list of key rectification areas.

[0006] Preferably, the deviation patch unit is divided into violation patch unit and patch unit to be reviewed, including: The cumulative number of times inconsistent patch attributes occurred for each deviation patch unit within a continuous monitoring period was counted; In response to a cumulative number of occurrences greater than or equal to the deviation threshold, the deviation patch unit is determined to be a violation patch unit; When the cumulative number of occurrences is less than the deviation threshold, the deviation patch unit is identified as a patch unit to be reviewed.

[0007] Preferably, based on the coordinates of all illegal patch units recorded in the first storage space, adjacent deviation patch units that are spatially adjacent to the target illegal patch unit are selected, including: Read the center point coordinates of the target violation patch unit from the first storage space; Generate a buffer neighborhood with a set radius based on the center point coordinates; Determine the boundary coordinates of other illegal patch units within the buffer neighborhood; In response to the presence of other illegal patch unit boundary coordinates within the buffer neighborhood, the other illegal patch units are identified as adjacent deviation patch units.

[0008] Preferably, in response to the total number of deviation patch units within a contiguous area being greater than or equal to a set threshold, the land use of the planned plots corresponding to the contiguous area is adjusted, including: Obtain the current land use type of the planned land parcels corresponding to the concentrated contiguous area; Based on the attribute information of the deviation patch units, determine the target remediation direction of the planned land parcel; Based on the target remediation direction, the land use type of the planned plot will be changed to match the current survey and mapping information vector data.

[0009] Preferably, after writing the coordinate information of the illegal patch unit into the first storage space, the method further includes: Read the spatial distribution coordinates of all illegal patch units in the first storage space; Each illegal patch unit is designated as a point to be rectified, and the buffer neighborhood of each point to be rectified is determined according to the set buffer distance. Calculate the number of other points to be treated contained in the buffer neighborhood of the target point to be treated, and determine the clustering degree of the target point to be treated by combining the spatial distance between the target point to be treated and each neighboring point; In response to a clustering degree exceeding a set clustering threshold, the target point to be rectified and its neighboring points are merged to form a clustered area to be rectified. Count the total number of map patch units and the number of illegal map patch units in each cluster area to be rectified; The ratio of the number of illegal patch units to the total number of patch units is calculated to obtain the illegal density of the cluster area to be rectified; In response to the fact that the density of violations in the cluster area to be rectified exceeds the density threshold, the cluster area to be rectified is marked as the target area to be rectified.

[0010] Preferably, the number of other points to be treated contained within the buffer neighborhood of the target point to be treated is calculated, and the clustering degree of the target point to be treated is determined by combining the spatial distance between the target point to be treated and each neighboring point, including: Count the first number of other points to be rectified within the buffer zone; Calculate the Euclidean distance from the target point to be treated to each of the other points to be treated; The ratio of the average of all Euclidean distances to the buffer distance is used as the distance attenuation coefficient; The product of the first quantity and the distance attenuation coefficient is determined as the clustering degree of the target points to be treated.

[0011] Preferably, before acquiring UAV aerial imagery and extracting land cover features, the method further includes: Obtain the location information of the monitored plots and the boundary data of misaligned patches from the previous monitoring period; Based on the location information of the plot of interest, the first starting survey line and the first ending survey line of the current surveying area are shifted to obtain the second starting survey line and the second ending survey line; Based on the second starting survey line and the second ending survey line, determine the sequence of survey routes for the next monitoring cycle; Generate a queue of data collection parameters for UAV aerial photography based on the mapping route sequence; The drone is controlled to fly from the second starting survey line to the second ending survey line according to the collection parameter queue in order to obtain drone aerial images.

[0012] Preferably, based on the location information of the plot of interest, the first starting survey line and the first ending survey line of the current surveying area are shifted to obtain the second starting survey line and the second ending survey line, including: Calculate the minimum distance between the boundary of the plot of interest and the boundary of the current survey area; If the minimum distance is less than the safety threshold, the first initial mapping line will be moved away from the land parcel of interest by a set number of interval lines. Move the first end mapping line away from the area of ​​interest by the same number of set interval lines. The moved first starting survey line and first ending survey line are respectively used as the second starting survey line and the second ending survey line.

[0013] Preferably, after adjusting the land use of the planned plots corresponding to the contiguous area, the method further includes: Obtain vector data of the new surveying information for the adjusted planned land parcels; Compare the new surveying and mapping information vector data with the original planning red line data; In response to the situation where the new surveying information vector data completely overlaps with the original planning red line data, the warning prompt will be turned off. In response to the discrepancy between the new surveying and mapping information vector data and the original planning red line data, the early warning will continue and the monitoring frequency will be increased.

[0014] A land planning and surveying information analysis system suitable for land consolidation projects, which is applicable to the aforementioned land planning and surveying information analysis method suitable for land consolidation projects, includes: The aerial image module is used to acquire aerial images taken by UAVs and extract land cover patches to obtain current status mapping information vector data; the current status mapping information vector data is spatially overlaid and compared with the planning red line data to obtain the deviation patch units with inconsistent patch attributes; The map patch storage module is used to divide the deviation map patch units into non-compliant map patch units and map patch units to be reviewed based on the attribute information of the deviation map patch units; write the coordinate information of the non-compliant map patch units into the first storage space, and write the coordinate information of the map patch units to be reviewed into the second storage space; The map patch classification module is used to read the coordinates of the map patch units to be reviewed in the second storage space, retrieve historical survey and mapping archives and current scene photos for on-site inspection and verification; in response to the verification result that the current situation does not conform to the plan, the corresponding map patch unit to be reviewed is identified as the target illegal map patch unit, and the coordinates of the target illegal map patch unit are transferred from the second storage space to the first storage space; The patch processing module is used to filter out adjacent deviation patch units that are spatially adjacent to the target illegal patch unit based on the coordinates of all illegal patch units recorded in the first storage space; and to calculate the total number of deviation patch units in the concentrated area when adjacent deviation patch units exist and form a concentrated area with the target illegal patch unit. The land planning module is used to adjust the land use of the planned plots corresponding to the concentrated contiguous area when the total number of deviation map patch units in the concentrated contiguous area is greater than or equal to a set number threshold; and to count the number of illegal map patch units within each target area based on the coordinates in the first storage space when the total number of deviation map patch units in the concentrated contiguous area is less than the number threshold. The key monitoring module is used to add the corresponding planned land plots in the key rectification list when the number of illegal map units in the target area is greater than or equal to the area threshold.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This invention utilizes drone aerial photography and automatic extraction of land use features. This method can quickly acquire current status surveying information, reducing the time and labor costs of traditional manual surveying, and improving the overall efficiency of land consolidation projects. Furthermore, by dividing deviation feature units into illegal and pending verification features and combining them with historical data for on-site verification, this method can more accurately identify illegal land use situations. This invention, by considering the impact of continuous monitoring cycles when processing data, can reflect changes in land use in real time and make corresponding adjustments accordingly. This dynamic monitoring mechanism makes land management more flexible and adaptable to actual conditions. Moreover, by analyzing the concentrated contiguous areas formed by adjacent deviation patch units, this method can make targeted adjustments to land use, achieve overall governance of large-scale illegal areas, and improve the systematicness and effectiveness of land governance. Attached Figure Description

[0016] Figure 1 This is a schematic flowchart of the overall method in one embodiment of the present invention; Figure 2 This is a schematic diagram of the overall system architecture in one embodiment of the present invention.

[0017] The diagram shows: 1. Aerial image capture module; 2. Patch storage module; 3. Patch classification module; 4. Patch processing module; 5. Land planning module; 6. Key monitoring module. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1, please refer to Figure 1 This invention provides a technical solution: a method for analyzing land planning and surveying information applicable to land consolidation projects, comprising: S1. Acquire aerial images taken by UAV and extract land cover patches to obtain current status mapping information vector data; perform spatial overlay comparison between the current status mapping information vector data and the planning red line data to obtain deviation patch units with inconsistent patch attributes; S2. Based on the attribute information of the deviation patch units, divide the deviation patch units into non-compliant patch units and patch units to be reviewed; write the coordinate information of the non-compliant patch units into the first storage space, and write the coordinate information of the patch units to be reviewed into the second storage space; S3. Read the coordinates of the map patch unit to be reviewed in the second storage space, retrieve historical survey and mapping archives and current real-world photos for on-site inspection and verification; in response to the verification result that the current situation does not conform to the plan, determine the corresponding map patch unit to be reviewed as the target illegal map patch unit, and transfer the coordinates of the target illegal map patch unit from the second storage space to the first storage space; S4. Based on the coordinates of all illegal patch units recorded in the first storage space, filter out the adjacent deviation patch units that are spatially adjacent to the target illegal patch unit; in response to the existence of adjacent deviation patch units and the formation of a concentrated contiguous area with the target illegal patch unit, calculate the total number of deviation patch units in the concentrated contiguous area. S5. In response to the total number of deviation patch units in the concentrated contiguous area being greater than or equal to the set number threshold, the use of the planned land parcel corresponding to the concentrated contiguous area is adjusted; in response to the total number of deviation patch units in the concentrated contiguous area being less than the number threshold, the number of illegal patch units within each target area is counted based on the coordinates in the first storage space. S6. When the number of illegal map plots in the target area is greater than or equal to the area threshold, the planning plots corresponding to the target area will be included in the key rectification list.

[0020] It should be noted that drone aerial photography technology is used to acquire image data of a certain area and extract the information of different land types (such as farmland, construction land, forest land, etc.) to form vector data of the current situation; The extracted current survey data is spatially overlapped and compared with the pre-set planning boundary data to identify deviation patches with inconsistent attributes; these deviation patches may be land that has not been used in accordance with the plan. Based on the attribute information of the deviation map units, they are divided into "violation map units" (plots that have violated the planning) and "map units to be reviewed" (plots that need further confirmation); the coordinates of the violation map units are recorded in one storage area, while the coordinates of the map units to be reviewed are recorded in another storage area; For map features awaiting review, historical surveying archives and real-scene photos are retrieved for on-site inspection to confirm whether they comply with the plan; if they are confirmed to be non-compliant, the map feature is identified as a target non-compliant map feature, and its coordinates are moved to the storage space of the non-compliant map feature. Using the recorded coordinates of the violation patches, other deviation patches adjacent to the target violation patch are selected; if these adjacent patches form a contiguous area, the total number of patches in that area is calculated. If the number of map patches in a concentrated and contiguous area reaches a set threshold, the planned use of the area can be adjusted; if the number is insufficient, the number of illegal map patches in the area will be counted; if the number of illegal map patches exceeds the area threshold, the area will be included in the list of key areas for rectification, so that subsequent replanning or remediation can be carried out. Specific examples: Suppose a region is planned for land consolidation, originally intended for the construction of a park. However, due to various reasons, some plots have been illegally converted into residential areas. The following is a specific application process: A drone was used to take aerial photos of a planned park area, obtaining high-resolution images; through image processing, land parcel information was extracted, and land type patches including grassland, trees and buildings were generated; The extracted current data was compared with the park planning red line provided by the urban planning department; it was found that within the planned park area, several plots of land were shown as residential land, and these were the deviation plots. Upon review, it was found that some of the plots were indeed residential and were marked as illegal plots; while others were plots pending review, possibly because they were under construction or awaiting approval. For the map features awaiting review, historical survey archives and on-site photos were consulted, and it was found that a certain map feature awaiting review had indeed been developed into a residential building; therefore, it was marked as a target violation map feature and moved to the storage area for violation map features. Upon examining other deviated plots around the target illegal plot, it was discovered that several of them were also residential land, and these plots were adjacent to each other, forming a concentrated and contiguous area. After calculation, the number of illegal plots in this contiguous area reached the set threshold. Therefore, the relevant departments decided to adjust the planned use of the area and re-plan it as a comprehensive community park. At the same time, if the number of illegal plots in some smaller areas does not reach the threshold, these areas will be counted and monitored. If it is subsequently found that the number of illegal plots in these areas exceeds the area threshold, they will be included in the key rectification list and required to be rectified.

[0021] In an optional embodiment, the deviation patch unit is divided into a violation patch unit and a patch unit to be reviewed, including: The cumulative number of times inconsistent patch attributes occurred for each deviation patch unit within a continuous monitoring period was counted; In response to a cumulative number of occurrences greater than or equal to the deviation threshold, the deviation patch unit is determined to be a violation patch unit; When the cumulative number of occurrences is less than the deviation threshold, the deviation patch unit is identified as a patch unit to be reviewed.

[0022] It should be noted that in land consolidation projects, multiple time points (monitoring cycles) are usually set to check the land use status; these cycles can be monthly, quarterly, or annually, depending on the project requirements. For each deviation patch, record the number of times its attributes (such as purpose, coverage type, etc.) are inconsistent with the planning requirements during these monitoring cycles; this process requires continuous monitoring and data recording. If the cumulative number of inconsistencies of a certain deviation patch unit in the monitoring period reaches or exceeds the set deviation threshold, it indicates that the patch may have serious violations, and therefore it is judged as a "violation patch unit". If the cumulative number of deviations is lower than the deviation threshold, it indicates that the deviation of this patch is relatively minor and may only be a temporary change or error. Therefore, it is classified as a "patch unit to be reviewed" for further observation and verification. Specific examples: Suppose a city is undergoing land consolidation, and the target area includes a plot of land originally planned as farmland. Over the next few months, the city planning department will conduct regular monitoring of these farmlands to try to determine whether the land has been misused. The area is set up with four monitoring periods: January, March, May, and July. During monitoring in January, a deviation patch was found, which should have been farmland but was actually used as a commercial building, and this was recorded as an inconsistency. In March, the same plot was inspected again and found to still be a commercial building, so another inconsistency was recorded. In May, after further investigation, it was found that the plot had changed again, with some areas being planted with crops, so no inconsistency was recorded in this monitoring. In July, a visit was made again and the commercial building was still found, so a third inconsistency was recorded. Through the above monitoring, this deviation patch unit has accumulated three attribute inconsistencies within four periods. Assuming the set deviation threshold is two instances; since the cumulative number of inconsistencies (three times) of this deviation patch unit exceeds the threshold, the management department determines it to be a "non-compliant patch unit"; For other deviation patches, suppose that during the monitoring period, a plot of land only recorded one inconsistency in January (for example, originally woodland but actually used as a temporary parking lot); then no further inconsistencies were found in the subsequent monitoring, and the final cumulative number was one, which is lower than the set threshold; therefore, the plot of land will be identified as a "patch unit to be reviewed", and the management department will decide to continue to observe the use of this plot of land in future monitoring cycles.

[0023] In an optional embodiment, based on the coordinates of all illegal patch units recorded in the first storage space, adjacent deviation patch units that are spatially adjacent to the target illegal patch unit are selected, including: Read the center point coordinates of the target violation patch unit from the first storage space; Generate a buffer neighborhood with a set radius based on the center point coordinates; Determine the boundary coordinates of other illegal patch units within the buffer neighborhood; In response to the presence of other illegal patch unit boundary coordinates within the buffer neighborhood, the other illegal patch units are identified as adjacent deviation patch units.

[0024] It should be noted that the coordinates of the center point of a specific violation patch unit are obtained from the stored data; this is a core point representing the location of the violation area; a buffer with a set radius is generated based on this center point; this buffer can be regarded as a virtual "circle", which may contain other areas adjacent to the target violation area. Check if there are boundary coordinates of other illegal patch units within this buffer; if the boundaries of other illegal regions overlap with this buffer, it means that these illegal patch units are adjacent to the target patch unit; All non-compliant patch units within the buffer are identified as adjacent deviation patch units, which facilitates subsequent analysis and processing; Specific examples: Suppose that a city discovers an illegal land use plot within a residential area during land use monitoring. The center point of this illegal plot has coordinates (100, 200). According to urban management regulations, the buffer radius is set at 50 meters. Read the center point coordinates (100, 200) of this illegal patch unit from the first storage space; next, generate a buffer zone with a radius of 50 meters centered on this point; the area covered by this buffer zone is a rectangular area from (50, 150) to (150, 250) (the specific shape depends on the map projection and measurement method). Begin by checking the boundary coordinates of other illegal patch units within this buffer. For example, suppose two other illegal patch units are found in the buffer, one located at (80, 180) and the other at (120, 220). Their boundary coordinates intersect the boundary of the buffer, and therefore they are identified as deviation patch units adjacent to the target illegal patch unit. These two non-compliant plot units (i.e., the areas located at (80,180) and (120,220)) will be marked as adjacent deviation plot units so that city managers can further analyze their violations and take corresponding rectification measures. Through this process, managers can effectively identify and deal with other violations adjacent to the target non-compliant area, promoting the rational use and management of land resources.

[0025] In an optional embodiment, in response to the total number of deviation patch units within a contiguous area being greater than or equal to a set threshold, the land use of the planned plots corresponding to the contiguous area is adjusted, including: Obtain the current land use type of the planned land parcels corresponding to the concentrated contiguous area; Based on the attribute information of the deviation patch units, determine the target remediation direction of the planned land parcel; Based on the target remediation direction, the land use type of the planned plot will be changed to match the current survey and mapping information vector data.

[0026] It should be noted that a concentrated and contiguous area refers to a situation where multiple adjacent deviation patch units are found during the monitoring process, and these patches form a whole area in space. The number threshold is a preset standard used to determine whether there is a large-scale deviation in a concentrated and contiguous area; if the total number of deviation patch units in the area reaches or exceeds this threshold, the process of adjusting the use will be initiated. Understand the current use of the planned land parcels corresponding to this contiguous area; for example, it may have originally been planned as farmland, green space, or other uses. By analyzing the attribute information (such as purpose and function) of deviation patch units, the future development direction of the area can be determined; this direction will guide subsequent adjustments to its use. Based on the target remediation direction, the land use type of the planned plots will be adjusted to match the actual site conditions to ensure the rationality and effectiveness of land use; Specific examples: Suppose that when a city was carrying out urban development planning, it originally designated an area as a green park, but in subsequent monitoring, it was found that there were multiple deviation map units in the park; these deviation map units included some areas that had been converted into commercial buildings and parking lots. Drone monitoring revealed five adjacent deviation plots within the area originally planned as green space. These deviation plots consist of three commercial buildings and two temporary parking lots, which together form a contiguous area. The set threshold number is four; since the total number of deviation patches (five) in this contiguous area exceeds the threshold, the usage adjustment process is initiated. Upon reviewing relevant planning documents, it was confirmed that this contiguous area was originally planned as a green park, intended to provide recreational spaces for residents. By analyzing the attribute information of the deviation patch units, it was found that most of these deviation patches are for commercial use, and the residents around the area have a certain demand for additional commercial facilities; therefore, the target rectification direction was determined to be "adjustment into a comprehensive commercial area" to enhance the economic vitality of the area. Based on the aforementioned goals and directions for improvement, the management department decided to change the land use type of the planned plot from the original green park to a "comprehensive commercial area," and allow the construction of a suitable amount of commercial facilities in this area, while retaining some green space to balance the environment.

[0027] In an optional embodiment, after writing the coordinate information of the violation patch unit into the first storage space, the method further includes: Read the spatial distribution coordinates of all illegal patch units in the first storage space; Each illegal patch unit is designated as a point to be rectified, and the buffer neighborhood of each point to be rectified is determined according to the set buffer distance. Calculate the number of other points to be treated contained in the buffer neighborhood of the target point to be treated, and determine the clustering degree of the target point to be treated by combining the spatial distance between the target point to be treated and each neighboring point; In response to a clustering degree exceeding a set clustering threshold, the target point to be rectified and its neighboring points are merged to form a clustered area to be rectified. Count the total number of map patch units and the number of illegal map patch units in each cluster area to be rectified; The ratio of the number of illegal patch units to the total number of patch units is calculated to obtain the illegal density of the cluster area to be rectified; In response to the fact that the density of violations in the cluster area to be rectified exceeds the density threshold, the cluster area to be rectified is marked as the target area to be rectified.

[0028] It should be noted that the spatial distribution coordinate information of all stored illegal patch units is extracted from the first storage space; each illegal patch unit is regarded as a point to be rectified, and the area around each point to be rectified is calculated according to the preset buffer distance (such as 100 meters). This area is called the buffer neighborhood. For each target point to be rectified, the number of other target points to be rectified contained in its buffer neighborhood is counted; at the same time, the spatial distance between the target target point to be rectified and these neighboring points is taken into account to evaluate the clustering degree of the target point to be rectified. If the clustering degree of a certain point to be rectified exceeds the set clustering threshold, it means that the violation situation in the area is relatively serious. The point to be rectified and all its neighboring points will be merged into a whole to form a cluster area to be rectified. Within each cluster area to be rectified, the total number of map patch units and the number of illegal map patch units within them are counted; based on these two figures, the ratio of illegal map patch units to the total number of map patch units is calculated to obtain the violation density of the cluster area; If the density of violations in this cluster exceeds the set density threshold, it will be marked as a target area that needs to be intensively rectified, so that subsequent rectification work can be carried out in a targeted manner. Specific examples: Suppose that a city, during land use monitoring, discovers multiple illegal buildings on a plot of land originally planned as a residential area; these illegal buildings include unapproved high-rise buildings, temporary shops, and parking lots, etc. The coordinate information of these illegal patches is stored in the first storage space; then, they extract the coordinate data of these patches, for example, there are ten illegal points; The buffer distance is set to 50 meters; start calculating the buffer neighborhood for each illegal patch unit; for example, for an illegal shop, there may be several other illegal buildings within 50 meters of it; During the calculation, it was found that there were four other violation points in the buffer neighborhood around a certain violation point. Considering the distance between these points, it was found that these violation points were very close to each other, and therefore had a high degree of clustering. Since the clustering degree of the above-mentioned violation points exceeds the set clustering threshold (e.g., the threshold is 3), this violation point and its four surrounding violation points are merged to form a cluster area to be rectified. Within this new cluster area, a total of five map patch units were identified, four of which were illegal and only one was compliant; therefore, the number of illegal map patch units is 4, and the total number of map patch units is 5. Based on the statistical results, the violation density of this cluster area was calculated, that is, the proportion of 4 illegal patch units to the total of 5. Calculations revealed that the density of violations in this cluster exceeded the set density threshold (e.g., 0.6). Therefore, the area was marked as a target area for rectification, and relevant departments will initiate subsequent rectification actions.

[0029] In an optional embodiment, the number of other points to be treated contained within the buffer neighborhood of the target point to be treated is calculated, and the clustering degree of the target point to be treated is determined by combining the spatial distance between the target point to be treated and each neighboring point, including: Count the first number of other points to be rectified within the buffer zone; Calculate the Euclidean distance from the target point to be treated to each of the other points to be treated; The ratio of the average of all Euclidean distances to the buffer distance is used as the distance attenuation coefficient; The product of the first quantity and the distance attenuation coefficient is determined as the clustering degree of the target points to be treated.

[0030] It should be noted that the statistics include the number of other points to be rectified within the buffer neighborhood of the target point; these points refer to all violations within the buffer distance set around the target point. Calculate the spatial distance between the target point to be treated and every other point to be treated within the buffer neighborhood; here, Euclidean distance is used, which is the straight-line distance between two points; The average of all calculated Euclidean distances is then compared with the set buffer distance to obtain a ratio, which is called the distance attenuation coefficient. The distance attenuation coefficient reflects the relative distance relationship between the target point and its neighboring points. The clustering degree of the target point to be rectified is obtained by multiplying the number of other points to be rectified within the buffer neighborhood (the first number) by the distance decay coefficient; this result indicates the severity of the violations around the point to be rectified. Specific examples: Suppose there are several illegal buildings in a certain area of ​​a city; to better understand how to calculate the clustering degree of one of these illegal buildings, consider the following scenario: Suppose that the target of our attention is an illegal temporary shop with coordinates (10,10). The buffer distance is set at 50 meters, so we need to check other illegal buildings within 50 meters; Within this buffer zone, three other illegal buildings were found, with coordinates (15,15), (12,18), and (8,5); therefore, the first number is 3. The distance from target point (10,10) to (15,15) is approximately 7.07 meters; the distance from target point (10,10) to (12,18) is approximately 8.24 meters; the distance from target point (10,10) to (8,5) is approximately 5.00 meters. Add these three distances together to get approximately 20.31 meters; then calculate the average distance, which is 20.31 meters divided by 3, to get approximately 6.77 meters. Comparing this average distance (approximately 6.77 meters) with the set buffer distance (50 meters), the ratio is approximately 0.1354; this is the distance attenuation coefficient, reflecting the relative distance between the target point to be treated and neighboring points. Multiply the first quantity (3) by the distance decay coefficient (approximately 0.1354) to obtain the clustering degree; this indicates that the violations around the target rectification point are relatively concentrated, and the higher the value, the more significant the clustering degree of the violation points.

[0031] In an optional embodiment, before acquiring UAV aerial imagery and extracting land cover features, the method further includes: Obtain the location information of the monitored plots and the boundary data of misaligned patches from the previous monitoring period; Based on the location information of the plot of interest, the first starting survey line and the first ending survey line of the current surveying area are shifted to obtain the second starting survey line and the second ending survey line; Based on the second starting survey line and the second ending survey line, determine the sequence of survey routes for the next monitoring cycle; Generate a queue of data collection parameters for UAV aerial photography based on the mapping route sequence; The drone is controlled to fly from the second starting survey line to the second ending survey line according to the collection parameter queue in order to obtain drone aerial images.

[0032] It should be noted that the location of the plots of interest and the boundary data of any misaligned patches were extracted from the previous monitoring period; this information is an important reference for subsequent steps. Based on the obtained location information of the plots of interest, the first starting survey line and the first ending survey line of the current monitoring area are shifted to obtain a new second starting survey line and a new second ending survey line; this process is to ensure that the new survey lines can accurately cover the target area. Based on the new starting and ending survey lines, the sequence of survey routes for the next monitoring cycle is planned; this step is crucial for the subsequent flight path planning of the UAV. Based on the determined mapping route sequence, a series of data acquisition parameters required for UAV aerial photography are generated; these parameters may include flight altitude, speed, shooting interval, etc. Based on the generated queue of acquisition parameters, the drone is controlled to fly from a new starting survey line to a new ending survey line in order to acquire the required aerial images. Specific examples: Suppose a city's building regulatory department is conducting monitoring in a certain area, the steps involved are as follows: Obtain data from the previous monitoring period: In the past monitoring period, some illegal buildings were discovered and their location information was recorded. For example, these buildings are located in the central area of ​​a city with coordinates (100, 200), and the misaligned building boundaries were marked. A new aerial survey of the area was conducted. Based on previous monitoring data, the first starting survey line and the first ending survey line were (95, 195) and (105, 205), respectively. Based on the new location information of the plot of interest, it was decided to shift these two survey lines by 10 meters, so that the new second starting survey line is (105, 205) and the second ending survey line is (115, 215). Based on the new starting and ending survey lines, the flight path of the UAV is planned; this path needs to ensure that no area that needs to be monitored is missed, and may be designed as several parallel flight lines to cover the entire plot. Based on the planned flight path sequence, the flight parameters of the drone were determined, such as setting the flight altitude of each flight path to 50 meters, the flight speed to 2 meters per second, and taking a photo every 5 meters. The drone is controlled to fly from the second starting survey line (105, 205) along the survey path to the second ending survey line (115, 215) according to the designed data acquisition parameter queue, and automatically captures high-resolution aerial images during the flight.

[0033] In an optional embodiment, based on the location information of the plot of interest, the first starting survey line and the first ending survey line of the current surveying area are translated to obtain a second starting survey line and a second ending survey line, including: Calculate the minimum distance between the boundary of the plot of interest and the boundary of the current survey area; If the minimum distance is less than the safety threshold, the first initial mapping line will be moved away from the land parcel of interest by a set number of interval lines. Move the first end mapping line away from the area of ​​interest by the same number of set interval lines. The moved first starting survey line and first ending survey line are respectively used as the second starting survey line and the second ending survey line.

[0034] It should be noted that the minimum distance between the boundary of the plot of interest and the current boundary of the surveyed area is calculated; this process ensures that the distance of the existing survey line from the area of ​​interest can be assessed. The calculated minimum distance is compared with a preset safety threshold; if the minimum distance is less than the safety threshold, it means that the current survey line may be too close to the area of ​​interest, and the position needs to be adjusted. If the minimum distance is confirmed to be less than the safety threshold, the first starting survey line and the first ending survey line will be shifted away from the area of ​​interest; the shift distance is determined based on the set number of interval lines to ensure that both survey lines are shifted outward by the same distance. After the relocation, the new first starting survey line and the first ending survey line will become the new second starting survey line and the second ending survey line, respectively, thus preparing for the next aerial survey. Specific examples: Suppose a city is conducting monitoring of a park area. The following are the specific operational steps: A newly built children's playground in the park has been identified as a site of interest. The boundary coordinates of the playground are (50,50), (50,60), (60,60), and (60,50). The boundary coordinates of the current survey area are (40,40), (40,70), (70,70), and (70,40). Within this area, the first starting survey line is from (40,40) to (70,40), and the first ending survey line is from (40,70) to (70,70). Calculations revealed that the distance between the nearest point of the amusement park boundary and the nearest point of the surveyed area boundary is approximately 5 meters. The set safety threshold is 10 meters; in this case, the calculated 5 meters is less than the safety threshold, so the survey line needs to be adjusted. To move the survey lines away from the amusement park, it was decided to shift both the first starting survey line and the first ending survey line 10 meters away from the amusement park; the specific operation is as follows: Move the first starting survey line (40,40) to (70,40) upwards by 10 meters, and the new starting line becomes (40,50) to (70,50); move the first ending survey line (40,70) to (70,70) upwards by 10 meters, and the new ending line becomes (40,80) to (70,80). After translation, the new first starting survey line (40,50) to (70,50) and the new first ending survey line (40,80) to (70,80) now become the second starting survey line and the second ending survey line.

[0035] In an optional embodiment, after adjusting the land use of the planned plots corresponding to the contiguous area, the method further includes: Obtain vector data of the new surveying information for the adjusted planned land parcels; Compare the new surveying and mapping information vector data with the original planning red line data; In response to the situation where the new surveying information vector data completely overlaps with the original planning red line data, the warning prompt will be turned off. In response to the discrepancy between the new surveying and mapping information vector data and the original planning red line data, the early warning will continue and the monitoring frequency will be increased.

[0036] It should be noted that after adjusting the use of the planned land parcel, the first step is to obtain the latest surveying information; this information exists in the form of vector data, which can clearly represent the new land use and boundaries. The newly acquired mapping information vector data is compared with the original planning boundary data; the original boundary data usually refers to the approved land use boundaries and uses. If the new surveying information completely overlaps with the original planning boundary data, it means that the adjusted use already meets the planning requirements; in this case, the warning prompt can be turned off, indicating that no further monitoring is needed. If the new surveying information still deviates from the original planning boundary data, it indicates that the adjusted use has not yet fully met the planning requirements. In this case, it is necessary to continue to maintain the early warning and increase the monitoring frequency in order to promptly identify and resolve the issues. Specific examples: Suppose a contiguous area in a city was previously planned primarily for commercial development, but due to recent policy changes, the area has decided to convert some plots of land to residential use; Following the rezoning, the land management department re-surveyed the area and obtained new vector data; this data reflects the latest land use and its boundaries, showing that some areas of the original commercial land have been converted into residential land. The newly acquired surveying information was compared with the original planning boundary data. The original planning boundary data showed that a certain plot of land (coordinates (100,100), (100,120), (120,120), (120,100)) was originally designated for commercial use, while the new surveying data showed that the use of the plot of land had been changed to residential. If, after comparison, it is found that the boundaries and uses in the new surveying information are completely consistent with the original planning red line data, for example, all the designated commercial areas have not changed and completely overlap, then it can be determined that the use adjustment of the area complies with the planning requirements. Therefore, the warning prompt can be turned off, indicating that the area no longer needs special monitoring. However, if the comparison results show that the new survey information still deviates from the original planning boundary data, such as the boundary of some commercial land being improperly extended to the originally designated residential area, resulting in the two not completely overlapping, then the early warning must continue to be maintained, and it must be recognized that there are still potential compliance risks in the area. In order to ensure that the problem is resolved as soon as possible, the management department has decided to increase the monitoring frequency, and may arrange more frequent inspections or audits in order to promptly detect any non-compliant behavior and take corresponding measures.

[0037] Example 2, please refer to Figure 2 This invention provides a technical solution: a land planning and surveying information analysis system suitable for land consolidation projects, which is applicable to the aforementioned land planning and surveying information analysis method suitable for land consolidation projects, comprising: Image aerial photography module 1 is used to acquire aerial images taken by UAVs and extract land cover patches to obtain current surveying information vector data; the current surveying information vector data is spatially overlaid and compared with the planning redline data to obtain deviation patch units with inconsistent patch attributes; Map patch storage module 2 is used to divide the deviation map patch units into non-compliant map patch units and map patch units to be reviewed based on the attribute information of the deviation map patch units; write the coordinate information of the non-compliant map patch units into the first storage space, and write the coordinate information of the map patch units to be reviewed into the second storage space; Map patch classification module 3 is used to read the coordinates of the map patch units to be verified in the second storage space, retrieve historical survey and mapping archives and current real-world photos for on-site inspection and verification; in response to the verification result that the current situation does not conform to the plan, the corresponding map patch unit to be verified is determined as the target illegal map patch unit, and the coordinates of the target illegal map patch unit are transferred from the second storage space to the first storage space; The patch processing module 4 is used to filter out adjacent deviation patch units that are spatially adjacent to the target illegal patch unit based on the coordinates of all illegal patch units recorded in the first storage space; and to calculate the total number of deviation patch units in the concentrated area when adjacent deviation patch units exist and form a concentrated area with the target illegal patch unit. Land planning module 5 is used to adjust the land use of the planned plots corresponding to the concentrated contiguous area when the total number of deviation patch units in the concentrated contiguous area is greater than or equal to a set number threshold; and to count the number of illegal patch units within each target area based on the coordinates in the first storage space when the total number of deviation patch units in the concentrated contiguous area is less than the number threshold. The key monitoring module 6 is used to include the planned land plots corresponding to the target area in the key rectification list when the number of illegal map units in the target area is greater than or equal to the area threshold.

[0038] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for analyzing land planning and surveying information applicable to land consolidation projects, characterized in that, include: Aerial images taken by UAVs are acquired and land cover features are extracted to obtain vector data of current status mapping information; By spatially overlaying and comparing the current surveying and mapping information vector data with the planning red line data, deviation map units with inconsistent map attributes are obtained. The cumulative number of inconsistent patch attributes for each deviation patch unit within a continuous monitoring period is counted. Based on the cumulative number of inconsistent patch attributes, the deviation patch units are divided into non-compliant patch units and patch units to be reviewed. The coordinate information of the non-compliant patch units is written into the first storage space, and the coordinate information of the patch units to be reviewed is written into the second storage space. Read the coordinates of the map patch unit to be reviewed in the second storage space, retrieve historical survey and mapping archives and current scene photos for on-site inspection and verification; in response to the verification result that the current situation does not conform to the plan, determine the corresponding map patch unit to be reviewed as the target illegal map patch unit, and transfer the coordinates of the target illegal map patch unit from the second storage space to the first storage space; Based on the coordinates of all illegal patch units recorded in the first storage space, adjacent deviation patch units that are spatially adjacent to the target illegal patch unit are selected; in response to the existence of adjacent deviation patch units and the formation of a concentrated contiguous area with the target illegal patch unit, the total number of deviation patch units in the concentrated contiguous area is calculated. In response to the total number of deviation patch units in a contiguous area being greater than or equal to a set threshold, the land use of the corresponding planned plot in the contiguous area will be adjusted. In response to the total number of deviation patch units in the concentrated contiguous area being less than the number threshold, the total area of ​​the illegal patch units within each target area is calculated based on the coordinates in the first storage space. When the total area of ​​illegal plots within the target area is greater than or equal to the area threshold, the corresponding planned land plots within the target area will be included in the list of key rectification areas. Accordingly, after writing the coordinate information of the violation patch unit into the first storage space, the method further includes: Read the spatial distribution coordinates of all illegal patch units in the first storage space; Each illegal patch unit is designated as a point to be rectified, and the buffer neighborhood of each point to be rectified is determined according to the set buffer distance. Calculate the number of other points to be treated contained in the buffer neighborhood of the target point to be treated, and determine the clustering degree of the target point to be treated by combining the spatial distance between the target point to be treated and each neighboring point; In response to a clustering degree exceeding a set clustering threshold, the target point to be rectified and its neighboring points are merged to form a clustered area to be rectified. Count the total number of map patch units and the number of illegal map patch units in each cluster area to be rectified; The ratio of the number of illegal patch units to the total number of patch units is calculated to obtain the illegal density of the cluster area to be rectified; In response to the fact that the density of violations in the cluster area to be rectified exceeds the density threshold, the cluster area to be rectified is marked as the target area to be rectified.

2. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 1, characterized in that, The deviation patch units are divided into violation patch units and patch units to be reviewed, including: In response to a cumulative number of occurrences greater than or equal to the deviation threshold, the deviation patch unit is determined to be a violation patch unit; When the cumulative number of occurrences is less than the deviation threshold, the deviation patch unit is identified as a patch unit to be reviewed.

3. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 2, characterized in that, Based on the coordinates of all illegal patch units recorded in the first storage space, adjacent deviation patch units that are spatially adjacent to the target illegal patch unit are selected, including: Read the center point coordinates of the target violation patch unit from the first storage space; Generate a buffer neighborhood with a set radius based on the center point coordinates; Determine the boundary coordinates of other illegal patch units within the buffer neighborhood; In response to the presence of other illegal patch unit boundary coordinates within the buffer neighborhood, the other illegal patch units are identified as adjacent deviation patch units.

4. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 3, characterized in that, In response to the total number of deviation map units within a contiguous area being greater than or equal to a set threshold, the land use of the corresponding planned plots within the contiguous area will be adjusted, including: Obtain the current land use type of the planned land parcels corresponding to the concentrated contiguous area; Based on the attribute information of the deviation patch units, determine the target remediation direction of the planned land parcel; Based on the target remediation direction, the land use type of the planned plot will be changed to match the current survey and mapping information vector data.

5. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 4, characterized in that, Calculate the number of other points to be treated within the buffer neighborhood of the target point to be treated, and determine the clustering degree of the target point to be treated by combining the spatial distance between the target point to be treated and each neighboring point, including: Count the first number of other points to be rectified within the buffer zone; Calculate the Euclidean distance from the target point to be treated to each of the other points to be treated; The ratio of the average of all Euclidean distances to the buffer distance is used as the distance attenuation coefficient; The product of the first quantity and the distance attenuation coefficient is determined as the clustering degree of the target points to be treated.

6. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 5, characterized in that, Before acquiring drone aerial imagery and extracting land cover features, the method further includes: Obtain the location information of the monitored plots and the boundary data of misaligned patches from the previous monitoring period; Based on the location information of the plot of interest, the first starting survey line and the first ending survey line of the current surveying area are shifted to obtain the second starting survey line and the second ending survey line; Based on the second starting survey line and the second ending survey line, determine the sequence of survey routes for the next monitoring cycle; Generate a queue of data collection parameters for UAV aerial photography based on the mapping route sequence; The drone is controlled to fly from the second starting survey line to the second ending survey line according to the collection parameter queue in order to obtain drone aerial images.

7. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 6, characterized in that, Based on the location information of the plots of interest, the first starting survey line and the first ending survey line of the current surveying area are shifted to obtain the second starting survey line and the second ending survey line, including: Calculate the minimum distance between the boundary of the plot of interest and the boundary of the current survey area; If the minimum distance is less than the safety threshold, the first initial mapping line will be moved away from the land parcel of interest by a set number of interval lines. Move the first end mapping line away from the area of ​​interest by the same number of set interval lines. The moved first starting survey line and first ending survey line are respectively used as the second starting survey line and the second ending survey line.

8. The land planning and surveying information analysis method applicable to land consolidation projects according to claim 7, characterized in that, After adjusting the land use of the planned plots corresponding to the contiguous area, the method further includes: Obtain vector data of the new surveying information for the adjusted planned land parcels; Compare the new surveying and mapping information vector data with the original planning red line data; In response to the situation where the new surveying information vector data completely overlaps with the original planning red line data, the warning prompt will be turned off. In response to the discrepancy between the new surveying and mapping information vector data and the original planning red line data, the early warning will continue and the monitoring frequency will be increased.

9. A land planning and surveying information analysis system suitable for land consolidation projects, which is applicable to the land planning and surveying information analysis method for land consolidation projects as described in any one of claims 1-8, characterized in that, include: The aerial image module is used to acquire aerial images taken by UAVs and extract land cover patches to obtain vector data of current status mapping information; By spatially overlaying and comparing the current surveying and mapping information vector data with the planning red line data, deviation map units with inconsistent map attributes are obtained. The map patch storage module is used to divide the deviation map patch units into non-compliant map patch units and map patch units to be reviewed based on the attribute information of the deviation map patch units; write the coordinate information of the non-compliant map patch units into the first storage space, and write the coordinate information of the map patch units to be reviewed into the second storage space; The map patch classification module is used to read the coordinates of the map patch units to be reviewed in the second storage space, retrieve historical survey and mapping archives and current scene photos for on-site inspection and verification; in response to the verification result that the current situation does not conform to the plan, the corresponding map patch unit to be reviewed is identified as the target illegal map patch unit, and the coordinates of the target illegal map patch unit are transferred from the second storage space to the first storage space; The patch processing module is used to filter out adjacent deviation patch units that are spatially adjacent to the target illegal patch unit based on the coordinates of all illegal patch units recorded in the first storage space; and to calculate the total number of deviation patch units in the concentrated area when adjacent deviation patch units exist and form a concentrated area with the target illegal patch unit. The land planning module is used to adjust the land use of the planned plots in a contiguous area when the total number of deviation map units in the area is greater than or equal to a set threshold. When the total number of deviation patch units in a concentrated contiguous area is less than the number threshold, the total area of ​​the illegal patch units within each target area is calculated based on the coordinates in the first storage space. The key monitoring module is used to add the corresponding planned land plots in the key rectification list when the total area of ​​illegal plot units in the target area is greater than or equal to the area threshold.

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