Land reserve data management system and method based on data analysis

Abstract

The invention discloses a land reserve data management system and method based on data analysis, and relates to the technical field of land reserve data management, and the method comprises the steps: collecting and labeling land information, generating three graphs with complete land information labeling, collecting labeling information and labeling information historical change data, classifying the labeling information, and storing the classified labeling information into a database; establishing three relevance databases according to a classification result, acquiring current to-be-changed annotation information, matching the current to-be-changed annotation information with the annotation information in the three relevance databases, planning a matching sequence, confirming a subordinate database of the current annotation information, and storing the current to-be-changed annotation information in the three relevance databases; the change mode of the current to-be-changed annotation information is judged according to the affiliated database confirmation result, and the synchronous change prompt is performed when the judgment result is that the synchronous change needs to be triggered, so that the probability that the synchronous change of the land reserve information is omitted or delayed is reduced, and the adaptability of land reserve planning to the dynamic change of the basic information is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of land reserve data management, and particularly relates to a land reserve data management system and method based on data analysis. BACKGROUND

[0002] Before land reserve planning is carried out, land asset inventory work needs to be carried out. The land asset inventory work usually includes collecting basic information such as annual land change survey results, real estate registration information, land market dynamic monitoring data, physical quantity inventory, right of use status inventory, and value accounting, and in order to ensure the smooth progress of the subsequent inventory, collecting accurate basic information is the key to supporting the smooth progress of the inventory work. The traditional inventory method needs to manually compare a large number of scattered file materials, and there are problems such as contradictions between attribute information from different sources when collecting information. The technical method system of using three-map superposition technology to systematically integrate and collaboratively analyze three types of spatial data, namely natural resource map, cadastral map and control plan map, provides full support for asset inventory and management work, which can effectively solve the above problems. However, the collected land reserve information is updated from time to time, and a large amount of land reserve information is marked on the natural resource map, cadastral map and control plan map. The updated information needs to be changed and marked on the three maps at the same time to help obtain accurate land information support when carrying out land reserve planning work in the later period. When changing and marking information on one map, the information on the remaining maps may or may not be changed and marked synchronously. The existing technology generally needs to confirm whether information needs to be changed and marked on the remaining maps one by one when a change information appears on one map. It may also occur that the synchronous change and marking is omitted or delayed, which is not conducive to improving the efficiency of three-map information change and reducing the probability of synchronous change and marking omission or delay. SUMMARY

[0003] The present application aims to provide a land reserve data management system and method based on data analysis to solve the problems in the prior art.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a land reserve data management system based on data analysis, the system comprising a land information collection module, a database establishment module, a to-be-changed data matching module and a land information change planning module. The land information collection module is used to collect and mark land information, generate three maps with complete land information marking, collect and mark information and historical change data of the marked information. The database establishment module is used to classify the marked information and establish three associated databases according to the classification results. The to-be-changed data matching module is configured to acquire current to-be-changed annotation information, match the current to-be-changed annotation information with annotation information in the three association databases and plan a matching order, and confirm a membership database of the current annotation information. The land use information change planning module is configured to determine a change mode of the current to-be-changed annotation information according to the membership database confirmation result, and perform a synchronous change prompt when the determination result is that the synchronous change needs to be triggered.

[0005] Preferably, the land use information collection module includes an information annotation unit, a three-map generation unit, an annotation field collection unit and a historical change information collection unit. The collected land use information is annotated onto a natural resource map, a cadastral map and a control plan map through the information annotation unit, wherein the natural resource map reflects the land present use, the cadastral map represents the land ownership relationship, and the control plan map specifies the planning control requirements. Through the superposition of the three maps, a spatial data foundation of trinity of present situation, ownership and planning can be constructed to provide full support for state-owned construction land reserve planning and asset management. The three maps, i.e., the natural resource map, the cadastral map and the control plan map, are generated through the three-map generation unit. All the annotation fields in the three maps are collected through the annotation field collection unit. Whether the annotation fields in the remaining two maps are changed synchronously when the annotation fields in a random one of the maps are changed in the past is determined through the historical change information collection unit, and the number of times of change and the number of times of synchronous change of the annotation fields are collected.

[0006] Preferably, the database establishment module includes a field classification unit, an association database creation unit and an attribute coordinate assignment unit. All the annotation fields in the three maps are classified into three categories through the field classification unit. If the annotation fields in the remaining two maps are not changed synchronously when the annotation fields are changed, the changed fields are taken as the first category of fields. If the annotation fields in a random one of the remaining two maps are changed synchronously when the annotation fields are changed, the changed fields are taken as the second category of fields, and the changed fields include the fields that are changed synchronously, and the fields that are changed synchronously are marked as the association fields of the changed fields, and there is only one association field of the changed fields. If the annotation fields in the remaining two maps are changed synchronously when the annotation fields are changed, the changed fields are taken as the third category of fields, and the changed fields include the fields that are changed synchronously, and the fields that are changed synchronously are marked as the association fields of the changed fields, and there are two association fields of the changed fields. The three categories of fields are all changed fields. The association database creating unit creates three association databases according to the field classification results, namely, a non-association database, a low-association database and a high-association database, wherein the first type of fields are contained in the non-association database, the second type of fields are contained in the low-association database, and the third type of fields are contained in the high-association database; The attribute coordinate assigning unit establishes a first rectangular coordinate system for the low-association database and a second rectangular coordinate system for the high-association database, randomly assigns attribute coordinates to the second type of fields and the third type of fields respectively, maps the second type of fields into the first rectangular coordinate system, and maps the third type of fields into the second rectangular coordinate system. The assigned attribute coordinates represent the positions of the corresponding fields in the coordinate systems. In the two coordinate systems respectively, a minimum circular region A capable of covering the mapped positions of all the fields in the natural resource map is divided, a minimum circular region B capable of covering the mapped positions of all the fields in the cadastral map is divided, and a minimum circular region C capable of covering the mapped positions of all the fields in the regulation map is divided. In the same coordinate system, there is no overlapping region between all the circular regions.

[0007] Preferably, the to-be-changed data matching module comprises a to-be-changed field collecting unit, a priority matching selecting unit and a membership database matching unit. The to-be-changed field collecting unit collects the to-be-changed annotation field and the to-be-changed annotation field's belonging map. The belonging map refers to one of the three maps. For example, if the to-be-changed annotation field is annotated in the natural resource map, the belonging map is the natural resource map. The priority matching selecting unit analyzes the matching priority coefficients between the to-be-changed annotation field's belonging map and the three databases, and selects the database with the largest matching priority coefficient. The membership database matching unit performs semantic matching between the to-be-changed annotation field and the fields in the three databases in descending order of the matching priority coefficients, and performs semantic matching with the fields in the database with the largest matching priority coefficient first. The semantic matching is performed until the field with the same semantics as the to-be-changed annotation field is matched, and the membership database of the current field is confirmed as the database where the field with the same semantics is located.

[0008] Preferably, the land use information change planning module comprises a change mode judging unit and a linkage change prompting unit. The change method determination unit determines the change method of the current field: if the database to which the current field belongs is an unrelated database, the change method of the current field is determined as follows: the field is changed alone without triggering synchronous changes; if the database to which the current field belongs is a low-related database, the change method of the current field is determined as follows: the field in one of the other two graphs (excluding the graph to which the current field belongs) is synchronously changed; if the database to which the current field belongs is a high-related database, the change method of the current field is determined as follows: the field in the other two graphs (excluding the graph to which the current field belongs) is synchronously changed. When the linkage change prompt unit determines that the change method of the current field requires a synchronous change, it will prompt the relevant personnel to check and synchronously change the field information in the other one or two other diagrams besides the diagram to which the current field belongs.

[0009] A data analysis-based method for managing land reserve data includes the following steps: S100: Collect and label land use information, generate three maps with complete land use information labeling, and collect labeling information and historical change data of labeling information; S101: Classify the labeled information and establish three related databases based on the classification results; S102: Obtain the annotation information to be changed, match the annotation information to be changed with the annotation information in the three related databases and plan the matching order, and confirm the database to which the current annotation information belongs; S103: Determine the change method for the currently pending annotation information based on the confirmation result of the affiliated database, and provide a synchronous change prompt when the determination result indicates that synchronous change needs to be triggered.

[0010] Preferably, in step S100: the three maps refer to the natural resource map, cadastral map, and control plan map. Corresponding land use information is marked on the three maps. All marked fields in the three maps are collected. Synchronous change data when the marked fields in the natural resource map change is collected: The collected data shows that the marked fields in the natural resource map have undergone n changes in the past. Of these n changes, m1 changes occurred when the marked fields in the other two maps did not undergo synchronous changes; m2 changes occurred when the marked fields in the cadastral map underwent synchronous changes while the marked fields in the control plan map did not; m3 changes occurred when the marked fields in the control plan map underwent synchronous changes while the marked fields in the cadastral map did not; and m4 changes occurred when the marked fields in both the cadastral map and the control plan map underwent synchronous changes. Synchronous change data when the marked fields in the cadastral map and the control plan map change are collected respectively.

[0011] Preferably, step S101 includes: dividing all the labeled fields in the three images into three categories: if the labeled fields in the other two images are not synchronously changed when a field is changed, then the corresponding changed field is designated as the first category of fields; if the labeled fields in one of the other two images are synchronously changed when a field is changed, then the corresponding changed field is designated as the second category of fields, which includes the synchronously changed fields, and the synchronously changed fields are marked as associated fields of the corresponding changed fields; if the labeled fields in the other two images are synchronously changed when a field is changed, then the corresponding changed field is designated as the third category of fields, which includes the synchronously changed fields, and the synchronously changed fields are marked as associated fields of the corresponding changed fields; creating a database containing the first category of fields as an unassociated database, and creating a database containing the second category of fields as an unassociated database. The database of the segment is a low-association database, and the database containing the third type of field is a high-association database. A first rectangular coordinate system is established for the low-association database, and a second rectangular coordinate system is established for the high-association database. Attribute coordinates are randomly assigned to the second type of field and the third type of field, respectively. The second type of field is mapped to the first rectangular coordinate system, and the third type of field is mapped to the second rectangular coordinate system. The assigned attribute coordinates represent the position of the corresponding field in the coordinate system. Using the minimum coverage circle derivation algorithm, the smallest circular area A that can cover the mapped positions of all fields in the natural resource map is divided in the two coordinate systems, and the center coordinates and radius of A are obtained. The smallest circular area B that can cover the mapped positions of all fields in the cadastral map is divided, and the center coordinates and radius of B are obtained. The smallest circular area C that can cover the mapped positions of all fields in the control planning map is divided, and the center coordinates and radius of C are obtained. Considering that changes to some labeled fields do not necessarily lead to synchronous changes to fields labeled in other maps (e.g., changing cultivated land to forest land on a natural resource map will not trigger changes to cadastral or control planning maps), while changes to some labeled fields will lead to synchronous changes to fields labeled in other maps (e.g., changing collective ownership to state ownership on a cadastral map, resulting in a change in ownership nature), the ownership classification on the natural resource map and the land use nature on the control planning map also need to be changed synchronously. To promptly and accurately determine whether synchronous changes to labeled information are necessary during subsequent information changes, this invention categorizes fields for different change scenarios into three types and creates three relational databases. For the low-relevance and high-relevance databases that meet the synchronous change criteria, the labeled fields in the three maps are mapped to a coordinate system by assigning attribute coordinates to the fields and dividing them into different circular areas according to the fields' affiliation with the three maps. This facilitates the subsequent automated, rapid, and accurate identification of fields requiring synchronous changes.

[0012] Preferably, step S102 includes: collecting the labeling fields that need to be changed, obtaining that the map to which the labeling fields that need to be changed belong is a natural resource map, calculating the matching priority coefficient H1 between the natural resource map and the unrelated database according to H1=(m1) / n, calculating the matching priority coefficient H2 between the natural resource map and the low-related database according to H2=(m2+m3) / n, calculating the matching priority coefficient H3 between the natural resource map and the high-related database according to H3=(m4) / n, comparing H1, H2 and H3, and performing semantic matching between the labeling fields that need to be changed and the fields in the three databases in descending order of matching priority coefficients, performing field matching by analyzing the semantic similarity between the fields, until a field with the same semantics as the labeling field that needs to be changed is matched, and confirming that the database to which the current field belongs is the database of the field with the same semantics; Since there is a large amount of labeled field information in the three graphs, in order to confirm the database to which the current field belongs, the matching priority coefficients between the graph to which the current field belongs and the three databases are compared by analyzing historical data to sort the field matching. The fields in the three databases are matched with the current field in order, which helps to speed up the confirmation of the database to which the current field belongs.

[0013] Preferably, step S103 includes: if the database to which the current field belongs is an unrelated database, determining the change method of the current field is: performing a field change independently without triggering a synchronous change; if the database to which the current field belongs is a low-related database, obtaining the attribute coordinates assigned to the related fields of the current field as (a1, a2), retrieving the center coordinates (x1, y1) and radius r1 of the smallest circular area in the first rectangular coordinate system that can cover the locations mapped by all fields in the cadastral map, and the center coordinates (x2, y2) and radius r2 of the smallest circular area in the first rectangular coordinate system that can cover the locations mapped by all fields in the control plan map, if [(x1-a1)]... 2 +(y1-a2) 2 ] 1 / 2 If less than or equal to r1, determine if the map to which the current field's associated field belongs is a cadastral map. The change method for the current field is: while changing the current field belonging to the natural resource map, simultaneously trigger a synchronous change to the associated fields of the current field in the cadastral map. A synchronous change prompt will be given: relevant personnel will be prompted to verify the associated fields of the current field in the cadastral map and synchronously change the field information; if [(x2-a1)] 2 +(y2-a2) 2 ] 1 / 2If the value is less than or equal to r2, the map to which the current field's associated field belongs is a control planning map. The change method for the current field is determined as follows: while changing the current field belonging to the natural resource map, a synchronous change is triggered on the associated fields of the current field in the control planning map. A synchronous change prompt is given: relevant personnel are prompted to check the associated fields of the current field in the control planning map and synchronously change the field information. If the database to which the current field belongs is a highly correlated database, the change method for the current field is determined as follows: while changing the current field belonging to the natural resource map, a synchronous change is triggered on the associated fields of the current field in the cadastral map and the control planning map. A synchronous change prompt is given: relevant personnel are prompted to check the associated fields of the current field in the cadastral map and the control planning map and synchronously change the field information. By analyzing the mapping location and mapping area of ​​fields, the manual verification of whether the annotation information needs to be changed synchronously is transformed into an automated judgment method, and information synchronization change prompts are given. This helps to improve the efficiency of information changes in the three maps, while reducing the probability of omissions or delays in the synchronous change of land reserve information, and improving the adaptability of land reserve planning to dynamic changes in basic information.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This invention takes into account that changes to some labeled fields will not cause synchronous changes to the labeled fields in other maps. For example, changing cultivated land labeled as forest land in a natural resource map will not trigger changes to the cadastral map or control plan map. However, changes to some labeled fields will cause synchronous changes to the labeled fields in other maps. For example, changing collective ownership information labeled as collective ownership information to public ownership information in a cadastral map results in a change in ownership nature. Therefore, the ownership classification labeled as natural resource map and the land use nature labeled as control plan map also need to be changed synchronously. In order to determine whether the labeled information needs to be changed synchronously in a timely and accurate manner when subsequent information changes occur, this invention divides the fields in different change scenarios into three categories and creates three correlation databases. For the low correlation database and the high correlation database that meet the synchronous change scenario, the labeled fields in the three maps are mapped to the coordinate system by assigning attribute coordinates to the fields and dividing different circular areas according to the relationship between the fields and the three maps. This facilitates the subsequent automatic, fast and accurate finding of the fields that need to be changed synchronously. Since there are a large number of labeled field information in the three graphs, in order to confirm the database to which the current field belongs, the matching priority coefficients between the graph to which the current field belongs and the three databases are compared by analyzing historical data to sort the field matching. The fields in the three databases are matched with the current field in order, which helps to speed up the confirmation of the database to which the current field belongs. By analyzing the mapping location and mapping area of ​​fields, the manual verification of whether the annotation information needs to be changed synchronously is transformed into an automated judgment method, and information synchronization change prompts are given. This helps to improve the efficiency of information changes in the three maps, while reducing the probability of omissions or delays in the synchronous change of land reserve information, and improving the adaptability of land reserve planning to dynamic changes in basic information. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of a land reserve data management system based on data analysis according to the present invention; Figure 2 This is a flowchart illustrating a land reserve data management method based on data analysis according to the present invention. Detailed Implementation

[0016] 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.

[0017] Example 1: like Figure 1 As shown, this embodiment provides a land reserve data management system based on data analysis. The system includes: a land information collection module, a database establishment module, a data matching module to be changed module, and a land information change planning module. The land information collection module is used to collect and label land information, generate three maps with complete land information labeling, and collect labeling information and historical change data of labeling information. The database establishment module is used to classify the labeling information and establish three related databases according to the classification results. The data matching module to be changed module is used to obtain the labeling information to be changed, match the labeling information to be changed with the labeling information in the three related databases, plan the matching order, and confirm the database to which the current labeling information belongs. The land information change planning module is used to determine the change method of the labeling information to be changed based on the confirmation result of the belonging database, and to provide a synchronous change prompt when the determination result indicates that synchronous change needs to be triggered.

[0018] The land use information collection module includes an information annotation unit, a three-map generation unit, an annotation field collection unit, and a historical change information collection unit. The information annotation unit annotates the collected land use information onto the natural resource map, cadastral map, and control plan map. The three-map generation unit generates three fully annotated maps (natural resource map, cadastral map, and control plan map). The annotation field collection unit collects all annotation fields from the three maps. The historical change information collection unit analyzes whether the annotation fields in the other two maps were synchronously changed when a field in one random map was previously modified, and also collects the number of annotation field changes and the number of synchronous changes.

[0019] The database creation module includes a field classification unit, a relational database creation unit, and an attribute coordinate assignment unit. The field classification unit categorizes all label fields in the three graphs into three types: if a field is changed but the label fields in the other two graphs are not synchronously changed, the changed field is classified as the first type; if a field is changed but the label fields in one of the other two graphs are synchronously changed, the changed field is classified as the second type, which includes the synchronously changed fields and marks them as related fields (there is only one related field for each changed field); if a field is changed but the label fields in both graphs are synchronously changed, the changed field is classified as the third type, which also includes the synchronously changed fields and marks them as related fields (there are two related fields for each changed field). All three types of fields represent the changed fields. The relational database creation unit... Based on the field classification results, three relational databases are created within the unit: a no-relational database, a low-relational database, and a high-relational database. The no-relational database contains the first type of fields, the low-relational database contains the second type of fields, and the high-relational database contains the third type of fields. A first rectangular coordinate system is established for the low-relational database, and a second rectangular coordinate system is established for the high-relational database. Attribute coordinates are randomly assigned to the second and third type of fields, mapping the second type of fields to the first rectangular coordinate system and the third type of fields to the second rectangular coordinate system. The assigned attribute coordinates represent the position of the corresponding field in the coordinate system. Within each coordinate system, the smallest circular area A covering the mapped positions of all fields in the natural resource map, the smallest circular area B covering the mapped positions of all fields in the cadastral map, and the smallest circular area C covering the mapped positions of all fields in the regulatory planning map are delineated. Within the same coordinate system, there are no overlapping areas between any of the circular areas.

[0020] The data matching module includes a field to be changed acquisition unit, a priority matching selection unit, and a database matching unit. The field to be changed acquisition unit acquires the labeling field to be changed and the map to which it belongs. The map to which it belongs refers to one of the three maps; for example, if the labeling field to be changed is labeled on a natural resource map, then the map to which it belongs is the natural resource map. The priority matching selection unit analyzes the matching priority coefficients between the map to which the labeling field to be changed belongs and the three databases, selecting the database with the highest matching priority coefficient. The database matching unit performs semantic matching between the labeling field to be changed and the fields in the three databases in descending order of matching priority coefficients, prioritizing semantic matching with the fields in the database with the highest matching priority coefficient, until a field with the same semantic meaning as the labeling field to be changed is found, confirming that the current field belongs to the database containing the semantically identical field.

[0021] The land use information change planning module includes a change method judgment unit and a linkage change prompt unit. The change method judgment unit determines the change method of the current field: if the current field belongs to an unrelated database, the change method is determined to be: a field change performed independently without triggering synchronous changes; if the current field belongs to a low-related database, the change method is determined to be: triggering synchronous changes in one of the other two maps besides the map to which the current field belongs; if the current field belongs to a high-related database, the change method is determined to be: triggering synchronous changes in the other two maps besides the map to which the current field belongs. The linkage change prompt unit, when determining that the change method of the current field requires triggering synchronous changes, provides a synchronous change prompt: prompting relevant personnel to check and synchronously change the field information in the related fields of the other map or the other two maps besides the map to which the current field belongs.

[0022] Example 2: like Figure 2 As shown, this embodiment provides a land reserve data management method based on data analysis, which is implemented based on the data management system in this embodiment, and specifically includes the following steps: S100: Collect and label land use information, generate three maps with complete land use information labeling, and collect labeling information and historical change data of labeling information: The three maps refer to the natural resource map, cadastral map, and control planning map. Label the corresponding land use information on the three maps, collect all the labeling fields in the three maps respectively, and collect synchronous change data when the labeling fields in the natural resource map change: Collect the labeling fields in the natural resource map that have changed a total of n times. Among the n changes, there are m1 changes when the labeling fields in the other two maps did not change synchronously. There are m2 changes when the labeling fields in the cadastral map changed synchronously but the labeling fields in the control planning map did not change synchronously. There are m3 changes when the labeling fields in the control planning map changed synchronously but the labeling fields in the cadastral map did not change synchronously. There are m4 changes when the labeling fields in both the cadastral map and the control planning map changed synchronously. Collect the synchronous change data when the labeling fields in the cadastral map and the control planning map change synchronously respectively. S101: Classify the annotation information and establish three related databases based on the classification results: Divide all annotation fields in the three figures into three categories: If the annotation fields in the other two figures are not synchronously changed when a field is changed, then the corresponding changed field is designated as the first category field; if the annotation field in one of the other two figures is synchronously changed when a field is changed, then the corresponding changed field is designated as the second category field, which includes the synchronously changed field, and the synchronously changed field is marked as the related field of the corresponding changed field; if the annotation fields in the other two figures are synchronously changed when a field is changed, then the corresponding changed field is designated as the third category field, which includes the synchronously changed field, and the synchronously changed field is marked as the related field of the corresponding changed field. Create a database containing the first category fields as the unrelated database. A database containing the second type of fields is designated as a low-association database, and a database containing the third type of fields is designated as a high-association database. A first rectangular coordinate system is established for the low-association database, and a second rectangular coordinate system is established for the high-association database. Attribute coordinates are randomly assigned to the second and third type of fields, respectively. The second type of fields are mapped to the first rectangular coordinate system, and the third type of fields are mapped to the second rectangular coordinate system. The assigned attribute coordinates represent the position of the corresponding field in the coordinate system. Using the minimum coverage circle derivation algorithm, the smallest circular region A that can cover the mapped positions of all fields in the natural resource map is divided in both coordinate systems, and the center coordinates and radius of A are obtained. The smallest circular region B that can cover the mapped positions of all fields in the cadastral map is divided, and the center coordinates and radius of B are obtained. The smallest circular region C that can cover the mapped positions of all fields in the control planning map is divided, and the center coordinates and radius of C are obtained. S102: Obtain the labeling information to be changed, match the labeling information to be changed with the labeling information in the three related databases and plan the matching order, and confirm the database to which the current labeling information belongs: collect the labeling fields that need to be changed, and find that the map to which the labeling fields that need to be changed belong is the natural resource map. Calculate the matching priority coefficient H1 between the natural resource map and the unrelated database according to H1=(m1) / n, calculate the matching priority coefficient H2 between the natural resource map and the low-related database according to H2=(m2+m3) / n, and calculate the matching priority coefficient H3 between the natural resource map and the high-related database according to H3=(m4) / n. Compare H1, H2 and H3, and perform semantic matching between the labeling fields that need to be changed and the fields in the three databases in descending order of matching priority coefficient. Perform field matching by analyzing the semantic similarity between fields until a field with the same semantics as the labeling field that needs to be changed is matched, and confirm that the database to which the current field belongs is the database of the field with the same semantics. For example: The annotation fields in the natural resource map have undergone 22 changes in the past. Among the n changes, the annotation fields in the other two maps were not changed synchronously in 13 of the changes. The annotation fields in the cadastral map were changed synchronously in 2 of the changes, but not in the control planning map. The annotation fields in the control planning map were changed synchronously in 4 of the changes, but not in the cadastral map. The annotation fields in both the cadastral map and the control planning map were changed synchronously in 3 of the changes. The calculated values ​​are H1=0.59, H2=0.27, and H3=0.14, where H1>H2>H3. The annotation fields that need to be changed are semantically matched with the fields in the three databases in the order of no correlation database, low correlation database, and high correlation database. S103: Based on the confirmation result of the affiliated database, determine the change method of the annotation information to be changed. If the determination result is that a synchronous change needs to be triggered, issue a synchronous change prompt: If the affiliated database of the current field is an unrelated database, determine the change method of the current field as: change the field alone without triggering a synchronous change; if the affiliated database of the current field is a low-related database, obtain the attribute coordinates assigned to the associated field of the current field as (a1, a2), retrieve the center coordinates of the smallest circular area in the first rectangular coordinate system that can cover the positions mapped by all fields in the cadastral map as (x1, y1) and the radius as r1, and the center coordinates of the smallest circular area in the first rectangular coordinate system that can cover the positions mapped by all fields in the control plan map as (x2, y2) and the radius as r2, if [(x1-a1) 2 +(y1-a2) 2 ] 1 / 2If less than or equal to r1, determine if the map to which the current field's associated field belongs is a cadastral map. The change method for the current field is: while changing the current field belonging to the natural resource map, simultaneously trigger a synchronous change to the associated fields of the current field in the cadastral map. A synchronous change prompt will be given: relevant personnel will be prompted to verify the associated fields of the current field in the cadastral map and synchronously change the field information; if [(x2-a1)] 2 +(y2-a2) 2 ] 1 / 2 If the value is less than or equal to r2, the map to which the current field's associated field belongs is a control planning map. The change method for the current field is determined as follows: while changing the current field belonging to the natural resource map, a synchronous change is triggered on the associated fields of the current field in the control planning map. A synchronous change prompt is given: relevant personnel are prompted to check the associated fields of the current field in the control planning map and synchronously change the field information. If the database to which the current field belongs is a highly correlated database, the change method for the current field is determined as follows: while changing the current field belonging to the natural resource map, a synchronous change is triggered on the associated fields of the current field in the cadastral map and the control planning map. A synchronous change prompt is given: relevant personnel are prompted to check the associated fields of the current field in the cadastral map and the control planning map and synchronously change the field information.

[0023] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A land reserve data management system based on data analysis, characterized in that: The system includes: a land use information collection module, a database establishment module, a data matching module for data to be changed, and a land use information change planning module; The land use information collection module is used to collect and label land use information, generate three maps with complete land use information labeling, and collect labeling information and historical change data of labeling information. The database establishment module is used to classify the labeled information and establish three related databases according to the classification results; The data matching module is used to obtain the current annotation information to be changed, match the current annotation information to be changed with the annotation information in three related databases and plan the matching order, and confirm the database to which the current annotation information belongs. The land use information change planning module is used to determine the change method of the current annotation information to be changed based on the confirmation result of the affiliated database, and to prompt for synchronous change when the determination result is that synchronous change needs to be triggered.

2. The land reserve data management system based on data analysis according to claim 1, characterized in that: The land use information collection module includes an information annotation unit, a three-map generation unit, an annotation field collection unit, and a historical change information collection unit; The collected land use information is labeled onto the natural resource map, cadastral map, and control plan map by the information labeling unit. The three-map generation unit generates three maps with complete information annotations, namely, a natural resource map, a cadastral map, and a regulatory planning map. The annotation field acquisition unit collects all the annotation fields in the three images respectively; The historical change information collection unit statistically analyzes whether the label fields in the other two images were synchronously changed when the label fields in a random image were changed in the past, and collects the number of times the label fields were changed and the number of times they were synchronously changed.

3. The land reserve data management system based on data analysis according to claim 2, characterized in that: The database creation module includes a field classification unit, a relational database creation unit, and an attribute coordinate assignment unit; The field classification unit divides all the labeled fields in the three figures into three categories. If the labeled fields in the other two figures are not changed synchronously when a field is changed, the corresponding changed field is regarded as the first category field. If a label field in one of the other two charts is changed synchronously when a field is changed, the corresponding changed field is designated as a second type of field. The corresponding changed field includes the field that was changed synchronously, and the field that was changed synchronously is marked as the associated field of the corresponding changed field. If the labeled fields in the other two figures are changed synchronously when a field is changed, then the field that is changed is treated as a third type of field. The field that is changed includes the field that is changed synchronously, and the field that is changed synchronously is marked as the associated field of the field that is changed. The correlation database creation unit creates three correlation databases based on the field classification results: a no-correlation database, a low-correlation database, and a high-correlation database. The no-correlation database contains the first type of fields, the low-correlation database contains the second type of fields, and the high-correlation database contains the third type of fields. The attribute coordinate assignment unit establishes a first rectangular coordinate system for the low-association database and a second rectangular coordinate system for the high-association database. Attribute coordinates are randomly assigned to the second and third types of fields, mapping the second type of fields to the first rectangular coordinate system and the third type of fields to the second rectangular coordinate system. The assigned attribute coordinates represent the position of the corresponding field in the coordinate system. In both coordinate systems, the smallest circular area A that covers the mapped positions of all fields in the natural resource map, the smallest circular area B that covers the mapped positions of all fields in the cadastral map, and the smallest circular area C that covers the mapped positions of all fields in the regulatory planning map are divided. In the same coordinate system, there is no overlap between the circular areas.

4. A land reserve data management system based on data analysis according to claim 3, characterized in that: The data matching module to be changed includes a field to be changed collection unit, a priority matching selection unit, and a database matching unit. The field to be changed acquisition unit acquires the label field that needs to be changed and the map to which the label field belongs; The priority matching selection unit analyzes the matching priority coefficient between the graph to which the label field that needs to be changed belongs and the three databases, and selects the database with the highest matching priority coefficient. The affiliated database matching unit performs semantic matching between the label field that needs to be changed and the fields in the three databases in descending order of matching priority coefficient. It prioritizes semantic matching with the field in the database with the highest matching priority coefficient until a field with the same semantics as the label field that needs to be changed is found. Then, it is confirmed that the affiliated database of the current field is the database of the field with the same semantics.

5. A land reserve data management system based on data analysis according to claim 4, characterized in that: The land use information change planning module includes a change method judgment unit and a linked change prompt unit; The change method determination unit determines the change method of the current field: if the database to which the current field belongs is an unrelated database, the change method of the current field is determined as follows: the field is changed alone without triggering synchronous changes; if the database to which the current field belongs is a low-related database, the change method of the current field is determined as follows: the field in one of the other two graphs (excluding the graph to which the current field belongs) is synchronously changed; if the database to which the current field belongs is a high-related database, the change method of the current field is determined as follows: the field in the other two graphs (excluding the graph to which the current field belongs) is synchronously changed. When the linkage change prompt unit determines that the change method of the current field requires a synchronous change, it will prompt the relevant personnel to check and synchronously change the field information in the other one or two other diagrams besides the diagram to which the current field belongs.

6. A land reserve data management method based on data analysis, characterized in that: Includes the following steps: S100: Collect and label land use information, generate three maps with complete land use information labeling, and collect labeling information and historical change data of labeling information; S101: Classify the labeled information and establish three related databases based on the classification results; S102: Obtain the annotation information to be changed, match the annotation information to be changed with the annotation information in the three related databases and plan the matching order, and confirm the database to which the current annotation information belongs; S103: Determine the change method for the currently pending annotation information based on the confirmation result of the affiliated database, and provide a synchronous change prompt when the determination result indicates that synchronous change needs to be triggered.

7. The land reserve data management method based on data analysis according to claim 6, characterized in that: In step S100: the three maps refer to the natural resource map, cadastral map, and control plan map. Corresponding land use information is marked on the three maps. All marked fields in the three maps are collected. Synchronous change data when marked fields in the natural resource map change is collected: The collected data shows that the marked fields in the natural resource map have undergone n changes in the past. Of these n changes, m1 changes occurred when the marked fields in the other two maps did not undergo synchronous changes; m2 changes occurred when the marked fields in the cadastral map underwent synchronous changes while those in the control plan map did not; m3 changes occurred when the marked fields in the control plan map underwent synchronous changes while those in the cadastral map did not; and m4 changes occurred when the marked fields in both the cadastral map and the control plan map underwent synchronous changes. Synchronous change data for changes in marked fields in both the cadastral map and the control plan map are collected separately.

8. The land reserve data management method based on data analysis according to claim 7, characterized in that: S101 includes: dividing all the label fields in the three images into three categories: if the label fields in the other two images are not synchronously changed when a field is changed, then the corresponding changed field is designated as the first category of fields; if the label fields in one of the other two images are synchronously changed when a field is changed, then the corresponding changed field is designated as the second category of fields, which includes the synchronously changed fields, and the synchronously changed fields are marked as associated fields of the corresponding changed fields; if the label fields in the other two images are synchronously changed when a field is changed, then the corresponding changed field is designated as the third category of fields, which includes the synchronously changed fields, and the synchronously changed fields are marked as associated fields of the corresponding changed fields; creating a database containing the first category of fields as an unassociated database, and creating a database containing the second category of fields... The database is classified as a low-association database, and the database containing the third type of field is classified as a high-association database. A first rectangular coordinate system is established for the low-association database, and a second rectangular coordinate system is established for the high-association database. Attribute coordinates are randomly assigned to the second and third type fields, respectively. The second type fields are mapped to the first rectangular coordinate system, and the third type fields are mapped to the second rectangular coordinate system. The assigned attribute coordinates represent the position of the corresponding field in the coordinate system. Using the minimum coverage circle derivation algorithm, the smallest circular region A that can cover the mapped positions of all fields in the natural resource map is divided in both coordinate systems, and the center coordinates and radius of A are obtained. The smallest circular region B that can cover the mapped positions of all fields in the cadastral map is divided, and the center coordinates and radius of B are obtained. The smallest circular region C that can cover the mapped positions of all fields in the regulatory planning map is divided, and the center coordinates and radius of C are obtained.

9. A land reserve data management method based on data analysis according to claim 8, characterized in that: S102 includes: collecting the labeling fields that need to be changed, obtaining that the map to which the labeling fields that need to be changed belong is a natural resource map, calculating the matching priority coefficient H1 between the natural resource map and the unrelated database according to H1=(m1) / n, calculating the matching priority coefficient H2 between the natural resource map and the low-related database according to H2=(m2+m3) / n, calculating the matching priority coefficient H3 between the natural resource map and the high-related database according to H3=(m4) / n, comparing H1, H2 and H3, and performing semantic matching between the labeling fields that need to be changed and the fields in the three databases in descending order of matching priority coefficients, performing field matching by analyzing the semantic similarity between the fields, until a field with the same semantics as the labeling field that needs to be changed is matched, and confirming that the database to which the current field belongs is the database of the field with the same semantics.

10. A land reserve data management method based on data analysis according to claim 9, characterized in that: S103 includes: if the database to which the current field belongs is an unrelated database, the change method of the current field is determined to be: a field change is performed independently without triggering a synchronous change; if the database to which the current field belongs is a low-related database, the attribute coordinates assigned to the related fields of the current field are obtained as (a1, a2), the center coordinates of the smallest circular area that can cover the mapping positions of all fields in the cadastral map in the first rectangular coordinate system are retrieved as (x1, y1) and the radius is r1, the center coordinates of the smallest circular area that can cover the mapping positions of all fields in the control plan map in the first rectangular coordinate system are (x2, y2) and the radius is r2, if [(x1-a1) 2 +(y1-a2) 2 ] 1 / 2 If less than or equal to r1, determine if the map to which the current field's associated field belongs is a cadastral map. The change method for the current field is: while changing the current field belonging to the natural resource map, simultaneously trigger a synchronous change to the associated fields of the current field in the cadastral map. A synchronous change prompt will be given: relevant personnel will be prompted to verify the associated fields of the current field in the cadastral map and synchronously change the field information; if [(x2-a1)] 2 +(y2-a2) 2 ] 1 / 2 If the value is less than or equal to r2, the map to which the current field's associated field belongs is a control planning map. The change method for the current field is determined as follows: while changing the current field belonging to the natural resource map, a synchronous change is triggered on the associated fields of the current field in the control planning map. A synchronous change prompt is given: relevant personnel are prompted to check the associated fields of the current field in the control planning map and synchronously change the field information. If the database to which the current field belongs is a highly correlated database, the change method for the current field is determined as follows: while changing the current field belonging to the natural resource map, a synchronous change is triggered on the associated fields of the current field in the cadastral map and the control planning map. A synchronous change prompt is given: relevant personnel are prompted to check the associated fields of the current field in the cadastral map and the control planning map and synchronously change the field information.

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