A method for automatically calculating the land area for land acquisition and resettlement
By using topology and spatial analysis technology and desktop applications in the land area measurement for land acquisition and resettlement, automatic measurement of land area and double error checking of graphics and attributes are realized, solving the problems of low efficiency and poor accuracy in the existing technology. , improving the efficiency and accuracy of measurement.
Patent Information
- Application Number
- CN202011002201.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-09-22
- Publication Date
- 2025-01-21
- Estimated Expiration
- 2040-09-22
AI Technical Summary
The prior art has low efficiency and poor accuracy in calculating the land area of land acquisition and immigration, and lacks a dual error check mechanism for graphics and attributes, resulting in inaccurate results.
Using topology and spatial analysis technology, automatic land area measurement is realized through desktop applications, including automatic troubleshooting and output of graphic errors and attribute errors, ensuring the accuracy of measurement results.
It improves the efficiency and accuracy of land area measurement, and ensures the accuracy and reliability of measurement results through the dual error checking mechanism of graphics and attributes.
Smart Images

Figure CN112200857B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of land area calculation for land acquisition and resettlement, and in particular to an automatic land area calculation method for land acquisition and resettlement. Background Art
[0002] Engineering construction often involves the acquisition of land, which will involve land compensation. Clarifying land ownership, land type, area and other indicators is the main content of land acquisition and resettlement work. In actual work, the measurement and statistics of land indicators is a very tedious task. It requires drawing closed lines, measuring areas, and noting map numbers for each map spot, and then transcribing the area, land type, ownership, map number information of different maps one by one into a spreadsheet, and finally counting according to various requirements. It is not difficult to expropriate land in a small area, and the efficiency and accuracy can be guaranteed. However, it is particularly important to quickly and accurately clarify the indicators of expropriated land when it involves large-scale, multi-map projects, such as reservoirs, roads and other large-scale, long-distance land projects. Therefore, it is very important to ensure the accuracy of land indicators.
[0003] In order to complete the calculation and statistics of land acquisition indicators, the general working mode is to use field measurement data to draw land type topographic maps in the computer, close and calculate the area of each map block based on the land type topographic map, and transcribe it into an EXCEL table, such as Southern CASS software. This method requires the area to be calculated for each map block, and the calculation results cannot be directly converted into EXECL results. The efficiency is very low and the error rate is high. At present, many scholars have proposed to realize automatic measurement function based on GIS technology, and the results can be converted into EXCEL tables, such as ArcGIS or MapGIS and other software. This method improves work efficiency and avoids errors caused by manual transcription of data. However, since this method is realized in batches and automatically, and lacks manual proofreading of each map block, it will bring the following problems: First, due to non-standard drawing, there are gaps between some lines, and it is impossible to effectively construct surfaces, which will cause the two maps to merge into one, and obtain incorrect results; secondly, attribute attachment is realized through point-surface overlay operation, and the attributes are often in text form. The display on the map may be in the correct map block, but the positioning point may be in other maps, and attribute association errors will occur, resulting in incorrect attributes such as household head and land type. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a method for automatically calculating the land area of land acquisition and resettlement, so as to quickly and accurately complete the calculation and statistics of land indicators for resettlement and land acquisition, thereby overcoming the shortcomings of the prior art.
[0005] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:
[0006] The present invention is a method for automatically calculating the area of land for land acquisition and resettlement. The method uses topology and spatial analysis technology to realize automatic area calculation and output. It is a desktop application program and has a dual error checking mechanism for graphics and attributes, which can realize automatic troubleshooting and output of graphics errors and attribute errors. The method comprises the following steps:
[0007] S1, construct surface elements based on the hierarchical topology of land-type topographic map data and output line elements that do not participate in surface construction;
[0008] S2, associate the attributes of the constructed elements at each level and output the logical error patches;
[0009] S3, basic map patch surface elements are associated with other advanced surface elements to obtain complete attributes;
[0010] S4, calculate the area using basic map patch elements, create a map patch number, and output the result.
[0011] In the above scheme: the desktop application is a desktop application that integrates steps S1, S2, S3, and S4. The user only needs to input the source land type topographic map file and the output file for storing the measurement results.
[0012] In the above scheme: the method of constructing surface elements by layered topology based on land-type topographic map data and outputting line elements that do not participate in the surface construction is as follows: based on land-type topographic map data, the topological surface construction technology is used to topologically construct the line elements of each layer, and the line elements that do not participate in the surface construction are output to realize the graphic error checking function. The layered construction includes the land acquisition area surface element layer, each ownership surface element layer, the basic map patch surface element layer, etc.
[0013] The land acquisition area surface feature layer is mainly used to describe the name attributes of the land acquisition area, such as reservoir area, hub area, slag yard, material yard, isolated island and so on. The isolated island non-expropriation area refers to an area where a piece of land has not been expropriated, but its surrounding areas have been expropriated; the ownership surface feature layer includes the group name surface feature layer, village name surface feature layer, township name surface feature layer, county name surface feature layer, city and prefecture name surface feature layer, and province name surface feature layer; the basic map layer is a map that cannot be further layered, that is, each basic map attribute (land type, household name, group name, village name, township name, county name, city and prefecture name, province name, land acquisition area name, etc.) is unique and cannot be subdivided into two attributes. It is generally composed of the common topological surface of linear features, land type boundaries, boundary lines, and land acquisition area lines in the land type topographic map. The levels of each layer from low to high are basic map surface feature layer, group name surface feature layer, village name surface feature layer, township name surface feature layer, county name surface feature layer, city and prefecture name surface feature layer, province name surface feature layer, and land acquisition area surface feature layer.
[0014] In the above scheme: the method of associating the attributes of the constructed elements at each level and outputting the logical error spots is as follows: the attribute association of the elements at each level is realized through the point-surface overlay technology, and the spots with no attributes, unique attributes, and multiple attributes are screened out respectively. For the spots with no attributes and multiple attributes, they are all logical error spots, and such error spots are output to realize the attribute error checking function.
[0015] The basic map surface elements should be associated with household names, land type names, notes, etc., and the household name attributes and land type attributes should be checked for errors. The group name surface element layer, village name surface element layer, township name surface element layer, county name surface element layer, city and state name surface element layer, province name surface element layer, and land acquisition area surface element layer should be associated with group name, village name, township name, county name, city and state name, province name, and land acquisition area name attributes, and the attribute error checking function should be performed.
[0016] In the above scheme: the basic map patch surface elements and other advanced surface elements are associated with attributes to obtain complete attributes, which can be achieved by two methods. Method 1, using the basic surface element layer and other advanced surface element layers to associate attributes using the surface-surface overlay technology, which requires that the basic map patch surface element layer is completely contained in other advanced surface element layers; Method 2 is to first convert the basic map patch surface elements into internal point elements, and use the point elements to sequentially associate other advanced surface elements to obtain complete attributes such as group name, village name, township name, county name, city and state name, province name, and land acquisition area name, and finally the point elements with complete attributes are combined with the basic map patch surface elements through the point-surface overlay technology to make the basic map patch surface elements obtain complete attributes.
[0017] In the above scheme: the basic map patch surface elements are used to calculate the area, create the map patch number, and output the result. The map patch area is calculated using the map patch surface coordinate data table of each map patch, and the map patch number is created by counting the map patches. These two functions can be completed before and after the third step; the measurement results are output, mainly including the measurement result table and graphic result data. The measurement result table includes attributes such as area, land type, household name, group name, village name, township name, county name, city name, province name, land acquisition area name, notes, etc. The graphic result data includes map patch lines and map patch numbers, attribute error maps, etc., among which different attribute error maps are output in layers.
[0018] Compared with the prior art, the present invention has the following beneficial effects:
[0019] 1. The automatic land area calculation method for land acquisition and resettlement provided by the present invention is highly integrated, easy to operate, and does not require deep professional knowledge.
[0020] 2. The automatic land area calculation method for land acquisition and resettlement provided by the present invention has a high degree of automation, can quickly calculate the results, and is very efficient.
[0021] 3. The automatic calculation method of the land area for land acquisition and resettlement provided by the present invention provides a map error checking mechanism. Through graphic error checking and attribute error checking, it is ultimately ensured that the calculation result is consistent with the drawing, thereby improving the accuracy of the calculation of land indicators for land acquisition and resettlement. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is an operation flow chart of the present invention;
[0023] Figure 2 It is a desktop system for calculating the land area for resettlement and requisition;
[0024] Figure 3 It is the land type topographic map content in dwg format;
[0025] Figure 4 The graphic inspection output does not construct the surface line;
[0026] Figure 5 It is a map with wrong land attributes;
[0027] Figure 6 It is an error map of the account name attribute;
[0028] Figure 7 It is the superposition of attribute error patches and original land-type topographic maps;
[0029] Figure 8 It is the calculation result table; DETAILED DESCRIPTION
[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0031] Example 1: A method for automatically calculating the land area for land acquisition and resettlement, integrating steps 101-104 into a desktop application. The user only needs to input the source land type topographic map file and the output file for storing the calculation results. This embodiment is implemented by fme software. The desktop system interface is shown in the attached Figure 2 , see the attached flow chart for details Figure 1 , the specific steps are as follows:
[0032] Step: 101: constructing surface elements based on the hierarchical topology of land-type topographic map data and outputting line elements that are not involved in surface construction;
[0033] Step 102: Attribute association is performed on the constructed elements at each level and logical error patches are output;
[0034] Step 103: associate the basic map patch surface elements with other advanced surface elements to obtain complete attributes;
[0035] Step 104: Calculate the area, create a patch number, and output the result using the basic patch surface elements with complete attributes;
[0036] In the above step 101, based on the land-type topographic map data in *dwg format, the drawing content is as shown in the attached Figure 3 As shown in the figure, the hierarchical topology is constructed and the unconstructed facet lines are output, as shown in the attached figure. Figure 4 The output example of unstructured surface lines is described to realize graphic inspection. The implementation flow chart includes the land acquisition scope layer, the ownership boundary layer, and the basic map surface layer, which respectively describe the name of the land acquisition area, the ownership name (group, village, township, county, etc.), and the smallest non-dividable map.
[0037] In the above step 102, the constructed elements at each level are attribute-associated and the logical error spots are output. The attribute association of each surface element layer is realized through point-surface overlay operation, and the attribute values are statistically analyzed to output the logical error spots such as no attribute, multiple attributes, etc. in dwg format. Figure 5 For land attribute error patches, Figure 6 User name attribute error map.
[0038] In the above step 103, the basic map patch surface elements are associated with other advanced surface elements to obtain complete attributes, which specifically includes the following: first, the basic map patch surface elements are converted into internal point elements, and the point elements are used to associate with other advanced surface elements to obtain complete attributes such as group name, village name, township name, county name, and land acquisition area name; finally, the point elements with complete attributes are combined with the basic map patch surface elements through the point-surface overlay technology to enable the basic map patch surface elements to obtain complete attributes.
[0039] In the above step 104, the area is calculated using the basic pattern surface elements, the pattern number is created, and the result is output. The pattern area is calculated using the pattern surface coordinate data table, and the pattern number is created by counting the patterns. These two functions are completed before the third step in this embodiment; the calculation results are output, including the calculation result table, pattern line and pattern number, and attribute error pattern. Figure 7 The output attribute error map is superimposed on the original terrain map, and the attribute error type is layered output. Figure 8 This is a table of calculation results.
[0040] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for automatically calculating the land area for land acquisition and resettlement, characterized by: The method uses topology and spatial analysis technology to realize automatic area measurement and output, and includes the following steps: S1, construct surface elements based on the hierarchical topology of land-type topographic map data and output line elements that do not participate in surface construction; S2, associate the attributes of the constructed elements at each level and output the logical error patches; S3, the basic map surface elements are associated with other advanced surface elements to obtain complete attributes; S4, calculate the area using basic map patch elements, create a map patch number, and output the result.
2. The automatic calculation method of land area for land acquisition and resettlement according to claim 1 is characterized by: The steps S1, S2, S3 and S4 are integrated into a computer desktop application, and the user inputs the source land type topographic map file and the output file for storing the measurement results.
3. The automatic land area calculation method for land acquisition and resettlement according to claim 1 is characterized by: The method described in step S1 for constructing surface elements in a layered topological manner based on land-type topographic map data and outputting line elements that do not participate in the surface construction is as follows: based on the land-type topographic map data, the topological surface construction technology is used to topologically construct the line elements of each layer respectively, and the line elements that do not participate in the surface construction are output to realize the graphic error checking function.
4. The automatic land area calculation method for land acquisition and resettlement according to claim 3 is characterized by: The hierarchical topology includes the land acquisition area surface element layer, each ownership surface element layer, and the basic map surface element layer.
5. The automatic calculation method of land area for land acquisition and resettlement according to claim 1 is characterized by: The method for associating the attributes of the constructed elements at each level and outputting logical error patches as described in step S2 is as follows: the attribute association of the elements at each level is realized through the point-surface overlay technology, and the non-attribute patches, the unique attribute patches, and the multi-attribute patches are screened out respectively. The non-attribute patches and the multi-attribute patches are all logical error patches.
6. The automatic calculation method of land area for land acquisition and resettlement according to claim 1 is characterized by: The basic map surface elements in step S3 are associated with other high-level surface elements to obtain complete attributes through the following two methods: Method 1, using the basic surface element layer to associate attributes with other high-level surface element layers using the surface-to-surface overlay technology, requiring the basic map surface element layer to be completely contained in other high-level surface element layers, and associating the basic map surface elements with other high-level surface elements to obtain complete attributes; Method 2, first converting the basic map surface elements into internal point elements, and using the point elements to associate with other high-level surface elements to obtain complete attributes including the name of the land acquisition area, and finally using the point elements with complete attributes with the basic map surface elements through the point-to-surface overlay technology to enable the basic map surface elements to obtain complete attributes.
7. The automatic calculation method of land area for land acquisition and resettlement according to claim 1 is characterized by: Step S4 describes the method of calculating the area using basic patch surface elements and creating patch numbers. The method of outputting the results is as follows: using each patch surface coordinate data table to calculate the patch area, and creating patch numbers by counting the patches; outputting the measurement results, including the measurement result table and graphic result data, wherein error patches of different attributes are output in layers.
Citation Information
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