Land class statistical modeling method and system for land acquisition processing range of hydropower engineering construction

By constructing a statistical modeling method for land acquisition treatment in the scope of land acquisition for hydropower engineering construction, and using the integration of ArcGIS with other applications, the problems of low efficiency and large error in the existing technology are solved, and efficient and accurate statistical results are achieved.

CN120067171APending Publication Date: 2025-05-30CHINA POWER CONSTR GRP ARCHITECTURAL PLANNING & DESIGN INST CO LTD +1
View PDF 3 Cites 0 Cited by

Patent Information

Application Number
CN202510145271.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-10
Publication Date
2025-05-30

AI Technical Summary

Technical Problem

The existing technology has problems such as low efficiency, large errors, complicated operations, easy data errors, difficulty in batch processing and single statistical results in the local statistical work within the scope of land acquisition treatment for hydropower engineering construction.

Method used

A land-class statistical modeling method is adopted for the land acquisition treatment scope of hydropower engineering construction. By collecting and preprocessing map data, building a land-class statistical model is constructed, and integrating ArcGIS with other applications is used to realize land-class area calculation and data sorting.

Benefits of technology

The land statistics work in the scope of land acquisition treatment in hydropower construction has been achieved efficient, accurate and comprehensive, reducing the technical difficulty of data processing, and improving the accuracy and scientificity of statistical results.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120067171A_ABST
    Figure CN120067171A_ABST
Patent Text Reader

Abstract

The invention discloses a water-power engineering construction land acquisition processing range land class statistical modeling method and system, and relates to the technical field of land resource space management. The method comprises the following steps: collecting map data; preprocessing the collected map data; and based on the preprocessed data, constructing a land class statistical model of the land acquisition processing range of the hydropower engineering construction. The system comprises a data acquisition module, a preprocessing module, a model construction module and a verification module. According to the method, the efficient, accurate and comprehensive effects of land class statistical work of the land acquisition processing range of water-power engineering construction are achieved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of land resource spatial management, and particularly to a method and system for statistical modeling of land types within the land acquisition processing scope of hydropower project construction. Background Art

[0002] The statistical classification of land types within the land acquisition processing scope is the investigation, classification, and quantitative recording of land types within the proposed land acquisition processing scope based on specific land classification standards and methods. This is a key basis for the preliminary planning and decision-making of construction projects, facilitating reasonable planning and layout, evaluating land acquisition costs, formulating compensation plans, and conducting environmental impact assessments.

[0003] ArcGIS Model Builder is a visualization model construction technology that can integrate geoprocessing tools and export them as Python scripts. Users can create their own tools for Python scripts and other models. By combining ModelBuilder with scripts, the integration of ArcGIS with other applications can be achieved. This technology can carry out analysis, simulation, and management work at each stage of geodata processing by leveraging the information stored in the digital model, improving efficiency and accuracy.

[0004] Traditional manual measurement using tools such as tape measures and levels on-site, manually calculating areas and statistically classifying land types has low cost but low efficiency and large errors; using data processing software or tools such as AutoCAD has single functions and difficult data integration; using drones to obtain high-resolution images and software to identify and classify land types can obtain images quickly, but has high costs and technical requirements and is restricted by meteorology; using satellite multi-spectral images and remote sensing interpretation to judge land types can observe large areas quickly, but is affected by weather and has limited resolution; emitting pulses to receive signals, obtaining three-dimensional information to divide land types has high precision but expensive equipment, complex processing, and high costs; staff carrying mobile devices with GIS functions to collect data on-site and upload it to the server for statistical analysis is real-time but restricted by equipment and network. However, in the preliminary planning and design stage of project applications, it is necessary to comprehensively, accurately, and efficiently reflect the true situation of land types within the land acquisition processing scope of multiple alternative project plans in a short time. Therefore, it is extremely important to find a method that can make full use of existing land type data, focus on batch classification and quantification of land types for alternative plans, and has good project applicability. Based on this, a method for statistical modeling of land types within the land acquisition processing scope of hydropower project construction needs to be designed. Summary of the Invention

[0005] Aiming at the problems existing in the prior art, the present invention provides a method and system for statistical modeling of land types within the land acquisition processing scope of hydropower project construction, which can achieve efficient, accurate, and comprehensive statistical work on land types within the land acquisition processing scope of hydropower project construction by extracting and combining the stored geographical data.

[0006] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] A statistical modeling method for land type in the land acquisition treatment scope of hydropower project construction, comprising the following steps: Step 1, collect map data; Step 2, preprocess the collected map data; Step 3, based on the preprocessed data, construct a statistical model for land type in the land acquisition treatment scope of hydropower project construction; wherein, the construction process is: Step 31, create a toolbox and establish an initial blank model based on the toolbox; Step 32, perform input data operation, add processing tool operation, add connection operation, set parameter operation and set annotation operation in the blank model in sequence; thus completing the construction of the land type statistical model.

[0008] Based on the above technical solution, further, the collection process in Step 1 is: Step 11, determine the map of the land acquisition treatment scope of the DWG format file; wherein, the map of the land acquisition treatment scope needs to clarify the graphic information of the permanent occupation area, temporary use area, reservoir inundation area and reservoir influence area; Step 12, obtain the third national land survey data or land use status data of the target research area through the location of the hydropower project shown on the map of the land acquisition treatment scope.

[0009] Based on the above technical solution, further, the preprocessing process in Step 2 is: first, process the DWG format files of the permanent occupation area, temporary use area, reservoir inundation area and reservoir influence area determined by the hydropower project plan respectively, delete the irrelevant layers, only retain the closed range lines, and ensure that the shape of the map of the land acquisition treatment scope is unique and non-repetitive; then, through methods such as coordinate transformation, translation, and spatial correction, overlap the vector graphics of the target research area with the processed map of the land acquisition treatment scope on the ArcMap software platform to ensure the consistency and accuracy of geographical information in space.

[0010] Based on the above technical solution, further, the processing tool operation process in Step 32 includes: Step 321, process the overlapping area; Step 322, calculate the geometric intersection; Step 323, add an area field; Step 324, formulate an attribute aggregation element; Step 325, output an Excel file.

[0011] Based on the above technical solution, further, in Step 321, when there is an overlap between the reservoir inundation area and the permanent occupation area or the temporary use area, the overlapping situations include: 1) the reservoir inundation area completely coincides with the permanent occupation area; 2) the reservoir inundation area partially coincides with the permanent occupation area; 3) the reservoir inundation area partially coincides with the temporary use area; 4) the reservoir inundation area coincides with both the permanent occupation area and the temporary use area partially at the same time.

[0012] Based on the above technical solution, further, in step 3, the land type statistical model after construction is verified and operated. When it is verified that the constructed land type statistical model is accurate, the land type statistical model is published, and at the same time, a callable tool is formed. Among them, the established land type statistical model can be converted into a script for use, and the forms of the script are: Python, Jscript, VBScript.

[0013] Based on the above technical solution, further, the usage process of the land type statistical model for the land acquisition treatment scope of hydropower project construction is as follows: Step 4, input the preprocessed data; Step 5, calculate the land type area and sort out the land type data; Step 6, output the result to obtain the area of each land type within the land acquisition treatment scope.

[0014] Based on the above technical solution, further, in step 4, first add the SHP format file of the third national land survey data or the current land use status data of the target research area, and then add the DWG format files of the permanent occupied area, temporary use area, reservoir inundation area and reservoir influence area after preprocessing respectively.

[0015] Based on the above technical solution, further, in step 5, first judge whether there is an overlapping area between the land acquisition treatment scopes, input the data and run it to obtain the calculation result of the land type area of the land acquisition treatment scope.

[0016] Based on the above technical solution, further, in step 6, the finally generated results are respectively displayed in the form of a graph in SHP format and a table in Excel format.

[0017] A land type statistical modeling system for the land acquisition treatment scope of hydropower project construction includes a data acquisition module, a preprocessing module, a model construction module and a verification module; the data acquisition module transmits the collected data to the preprocessing module through a communication method, the preprocessing module performs preprocessing operations on the received data, and transmits the preprocessed data to the model construction module for model construction, the model construction module transmits the data to the verification module, and the verification module performs verification operations on the received data.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] (1) The present invention combines and encapsulates multiple tools and processing procedures, reducing the technical difficulty of data processing, effectively addressing the complex problems of traditional land type statistical methods, solving the problems of repeated processes, error-prone data, and single statistical results, meeting the batch statistical requirements of different plots and different requirements, and achieving the high efficiency, accuracy, and comprehensiveness of the land type statistical work for the land acquisition processing scope in hydropower project construction. Among them, the created tools can export scripts, which can be appropriately fine-tuned or modified according to the actual usage scenarios and can accurately run in different environments, laying a foundation for building a multi-professional collaborative digital design platform and realizing multi-party collaborative office.

[0020] (2) The land type statistical modeling method for the land acquisition processing scope in hydropower project construction provided by the present invention has powerful functions in data processing and analysis. It closely combines the characteristics of hydropower projects and resolves many problems existing in traditional methods, such as cumbersome and complex operations, error-prone data, difficult batch processing, and single statistical results, showing the advantages of low cost and high efficiency in the actual project application process, significantly improving the efficiency of traditional work, and making the results relatively more accurate and scientific, providing an innovative and efficient solution for the land type statistical work of the land acquisition processing scope in hydropower project construction.

[0021] (3) The present invention demonstrates a high degree of flexibility in data selection and statistics. When processing the third national land survey data, it can accurately screen out the required specific fields for statistical analysis, rather than being limited to the general processing of the overall data. This targeted data selection method enables the statistical work to flexibly customize statistical dimensions and content according to different research purposes, project requirements, and actual application scenarios, greatly broadening the adaptability and practicality of the present invention in diverse business scenarios, further enhancing its dominant position in the field of land type statistical work for the land acquisition processing scope in hydropower project construction, and providing more detailed and practical key data support for accurate decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flowchart of an example of the method of the present invention;

[0023] Figure 2 is a schematic diagram of the underlying logic of Tool 1 of the present invention;

[0024] Figure 3 is a schematic diagram of the underlying logic of Tool 2 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0025] The following further elaborates and explains the present invention in conjunction with the drawings and specific embodiments. The technical features of each embodiment in the present invention can be combined correspondingly without conflict.

[0026] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings. Many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below. The technical features in the various embodiments of the present invention can be combined correspondingly without conflict.

[0027] Embodiment

[0028] Combined with Figure 1 As shown, this embodiment provides a statistical modeling method for the land type of the land acquisition treatment scope in hydropower project construction, including the following steps:

[0029] Step 1: Collect map data; wherein, the map data includes one or more of the third national land survey data, the current land use status data, and the land acquisition scope map in DWG format of the target research area. It should be noted that the full name of the third national land survey data is "the third national land survey data", which is abbreviated here.

[0030] In this embodiment, the collection process in Step 1 is as follows: Step 11: Determine the land acquisition scope map in DWG format according to the actual general layout plan of the hydropower project construction. Among them, the land acquisition scope map needs to clarify the data information of the permanent occupation area, the temporary use area, the reservoir inundation area, and the reservoir influence area to ensure the integrity and accuracy of the scope definition and provide a comprehensive data basis for subsequent statistics and calculations. The data information is provided in DWG format; Step 12: Obtain the third national land survey data or the current land use status data of the target research area through the location of the hydropower project shown on the land acquisition scope map to ensure the pertinence and effectiveness of the data. It should be noted that the obtained third national land survey or land use data needs to be in SHP format, and this SHP format is also a storage format of the vector graphics mentioned in Step 2.

[0031] Step 2: Preprocess the collected map data.

[0032] In this embodiment, the preprocessing process in step 2 is as follows: First, use AutoCAD software to process the DWG format files of the permanent occupation area, temporary use area, reservoir inundation area, and reservoir influence area determined by the general layout plan for the construction of hydropower projects respectively, delete the irrelevant layers, only retain the closed boundary lines, and ensure that the shape of the land acquisition processing scope map is unique and non-repetitive, thereby improving the accuracy of the finally calculated land acquisition area; then, through methods such as coordinate transformation, translation, and spatial correction, make the vector graphics of the target research area accurately overlap with the land acquisition processing scope map on the ArcMap software platform to ensure the consistency and accuracy of geographical information in space. It should be noted that all layers other than the closed land acquisition processing scope line are irrelevant layers; the land acquisition processing scope map in DWG format must contain a coordinate system.

[0033] Specifically, it is necessary to first import the third national land survey data or land use status data into the ArcMap software platform within ArcGIS; subsequently, preprocess the land acquisition processing scope map in AutoCAD software, and ensure that the CAD data contains coordinate system features during the processing. After completion, import it into the ArcMap software platform; the purpose of this sequential import order is that the third national land survey data has a clear coordinate system after being imported into ArcGIS, and the ArcGIS software automatically recognizes this clear projection coordinate as the coordinate system for the entire project. Then, use the coordinate system conversion function of the ArcMap software to unify the two types of data under the same projection coordinate system, thereby achieving the precise overlay of map data in two formats (such as dwg, shp, etc.) in the ArcMap environment and laying a foundation for subsequent work. That is, through methods such as coordinate transformation, translation, and spatial correction, make the vector graphics of the target research area accurately overlap with the land acquisition processing scope map on the ArcMap software platform; among them, the formed maps include but are not limited to maps in formats such as dwg and shp.

[0034] Step 3: Based on the preprocessed data, construct a statistical model for land types in the land acquisition processing scope of hydropower project construction; refer to Figure 2 and Figure 3 for the underlying logic schematic diagram. Among them, the P (model parameter) mark is used to set parameters for the input and output data of the model; the "output database" is a database used to manage intermediate data, thereby ensuring the successful release and sharing of the model. Each process in the model will create output data, and some output data is created by intermediate processes. The data generated by intermediate processes is called intermediate data, which is of no use after the model runs and is temporary data to be deleted after the model runs. Intermediate data is generally placed in the default database. Since the default database location may be different on different computers, it is necessary to manage the intermediate database.

[0035] Specifically, the construction process is as follows: Step 31, set up a toolbox and establish an initial blank model; Step 32, perform input data operations, add processing tool operations, set connection and parameter operations, and set annotation operations in the blank model in sequence; thus completing the construction of the land type statistical model. Among them, the established land type statistical model can be converted into a script for use, and the forms of the script include Python, Jscript, VBScript, etc. It should be further noted that since a model consists of multiple processes, each process has a common basic structure: input, processing tool, output; the output data generated by the first process serves as the input data for the second process until the creation of the final output is completed; for a complete model, all components must be connected to each other. Based on the understanding of this model, the Figure 2 and Figure 3 In the previous attribute table conversion to Excel in Figure 2 and Figure 3 both represent processing tools, and the latter attribute table conversion to Excel both represent the final output data.

[0036] In this embodiment, the operation process of the processing tool in Step 32 includes: Step 321, process the overlapping area: the inundated area is used as an erase feature to be superimposed with another input feature to create a new feature class for processing the overlapping area. In this way, the overlapping part can be accurately identified and processed, avoiding duplicate calculations or omissions, laying a foundation for subsequent accurate statistics, and forming a construction land acquisition processing scope map without overlapping areas. It should be noted that the other input feature is the permanent occupation area or the temporary use area, and the newly created feature class after superposition is also the area remaining after deducting the inundated area; further, when there is an overlap between the reservoir inundated area and the permanent occupation area or the temporary use area, reasonable permutations and combinations are made according to the actual situation of the industry. The overlapping situations include: 1) the reservoir inundated area completely coincides with the permanent occupation area; 2) the reservoir inundated area partially coincides with the permanent occupation area; 3) the reservoir inundated area partially coincides with the temporary use area; 4) the reservoir inundated area partially coincides with the permanent occupation area and the temporary use area; According to the provisions of the "Specification for Defining the Scope of Construction Land Acquisition for Hydropower Projects" (NB / T 10338-2019), the overlapping part between the hub project construction area and the reservoir inundated area should be included in the reservoir inundated area for processing, so as to ensure the standardization and accuracy of the overlapping area processing. It should be noted that since there is no clear regulation on how to handle the overlap between the reservoir influence area and the permanent occupation area or the temporary use area in the specification, and in actual projects, such situations are rarely encountered, therefore, the overlap between the reservoir influence area and the permanent occupation area or the temporary use area is not considered.

[0037] It should be further noted that the first purpose of overlapping area processing is to clearly distinguish the boundaries of the permanent occupation area, the temporary use area, the reservoir inundated area, and the reservoir influence area; the second purpose is that the graphics of the overlapping part are classified as the inundated area, and the area of the graphics overlapped by the overlapping area should be reduced.

[0038] Step 322, Obtain geometric intersection: Perform the intersection operation of line with line or surface with surface on the construction land acquisition processing range map (without overlapping areas) of the DWG format file and the corresponding graphics of the third national land survey data or land use status data in SHP format, so as to obtain the geometric intersection of the input elements. The operation of geometric intersection can accurately define the overlapping parts between different regions, thereby accurately dividing land types.

[0039] Step 323, Add geometric elements: Add a new area attribute field to the geometric intersection of the input elements to facilitate the accurate calculation of the area and the statistics of the area of each piece subsequently. The addition of the area field provides a direct data basis for the subsequent area calculation.

[0040] Step 324, Develop attribute aggregation elements: According to the actual needs of the project, use the fusion function to process the data, select the required fields (including the newly added geometric elements) and calculate the total value. The output data is the data after integration and cleaning. Through aggregation and integration, complex data can be organized into a clear and usable form. For example, the output data includes an attribute table, etc. It should be noted that the method of calculating the total value by combining like terms is an existing method and will not be elaborated too much.

[0041] Step 325, Output an Excel file and form a callable tool at the same time: Convert the attribute table into a table in Microsoft Excel format, and finally generate Tool 1 and Tool 2 to achieve one-key operation for the land type statistics of the construction land acquisition processing range of hydropower projects. Among them, Tool 1 is for land type statistics and area calculation of the construction land acquisition processing range (without overlapping areas); Tool 2 is for land type statistics and area calculation of the construction land acquisition processing range (with overlapping areas); furthermore, the main functions of Tool 1 and Tool 2 are: they can process in batches at the same time; the created tools can export scripts; specific fields required can be screened according to the actual situation of the project for statistics.

[0042] Furthermore, in Step 3, perform verification and operation on the constructed land type statistics model. After verifying that the constructed land type statistics model is accurate, publish the land type statistics model and form a callable tool at the same time. Among them, the established land type statistics model can be converted into a script for use, and the forms of the script are: Python, Jscript, VBScript. It should be noted that the verification idea is: Compare the result data output by the traditional method with the result after running the land type statistics model of this solution. If the comparison results are different, perform the operation verification again: If the results are the same, it means that the constructed land type statistics model is accurate.

[0043] The formation of callable tools specifically consists of steps 31 - 32, and finally two practical tools are generated for different projects to call in the ArcMap 10.7 version. Each tool can simultaneously conduct land type statistics and area calculation for multiple construction land expropriation processing scopes, improving the processing efficiency and scale. It should be noted that the generated model can be manually selected for batch processing, and batch processing is regarded as an auxiliary function of the model; the generated tool can only conduct land type statistics for one piece of land expropriation, while batch processing can conduct land type statistics for multiple plots simultaneously, which is more in line with the actual operation needs of the project. Further, Tool 1 and Tool 2 can be exported as Python scripts, and can be appropriately fine-tuned or modified according to the actual usage scenario, and can run accurately in different environments.

[0044] Specifically, the usage conditions for Tool 1 are as follows: 1. It is applicable to the case where the construction land expropriation processing scope exists alone and does not overlap with other land uses, such as reservoir inundation areas and temporary land use areas; 2. It is applicable to the ArcMap 10.7 version; 3. When converting the attribute table to Excel, it should be noted to manually add the Excel extension.xls when saving. It should be noted that these usage conditions are also annotation operations.

[0045] Further, the usage conditions for Tool 2 are as follows: 1. It is applicable to the case where there is an overlapping area between the permanent occupation area and the reservoir inundation area or the temporary land use area. For example: A. When the reservoir inundation area completely coincides with the permanent occupation area, conduct land type statistics and area calculation for the permanent occupation area; B. When the reservoir inundation area partially coincides with the permanent occupation area, conduct land type statistics and area calculation for the permanent occupation area; C. When the reservoir inundation area partially coincides with the temporary land use area, conduct land type statistics and area calculation for the temporary occupation area; 2. It is applicable to the ArcMap 10.7 version; 3. When converting the attribute table to Excel, it should be noted to manually add the Excel extension.xls when saving. It should be noted that these usage conditions are also annotation operations.

[0046] In this embodiment, the usage process of the land type statistics model for the construction land expropriation processing scope of the hydropower project is as follows:

[0047] Step 4. Input preprocessed data: First, import the third national land survey data or current land use status data (in SHP format) of the target research area into ArcMap 10.7. At this time, the coordinate system of the data frame in the ArcMap software will default to the coordinate system of the first loaded data (i.e., the third national land survey data or current land use status data). Then, import the construction land acquisition treatment scope map preprocessed in AutoCAD software into ArcMap 10.7. The subsequently added data may be inconsistent with the current data frame coordinates. Although ArcMap has an automatic dynamic projection transformation function that can project the subsequently added data for display under the current coordinate system, for optimal performance and to ensure accurate XY coordinates in the display and no map distortion, it is advisable to avoid relying on dynamic projection as much as possible. Therefore, methods such as coordinate conversion, translation, and spatial correction are required to make the coordinate system of the construction land acquisition treatment scope map consistent with that of the third national land survey data, ensuring that the two can accurately overlap and guaranteeing the consistency and accuracy of geographical information in space. Among them, the graphics formed after processing and overlaying are in various formats, including but not limited to common formats such as DWG and SHP.

[0048] Step 5. Calculate the land type area and sort out the land type data; In some embodiments, first determine whether there is an overlapping area between the construction land acquisition treatment scopes, open the corresponding tools respectively, add data and run them to obtain the calculation results of the land type area of the construction land acquisition treatment scope and the results of sorting out the land type data.

[0049] Step 6. Output the results. In some embodiments, the finally generated results are presented in SHP format and Excel format respectively. The SHP format is convenient for intuitive graphic display in ArcMap, while the Excel format table is convenient for data viewing and further analysis.

[0050] The following is an example to illustrate the application process of this method: It is known that a certain hydropower project is located in County A, and the project name is "Feasibility Study of a Certain Pumped Storage Power Station". The construction land acquisition treatment scope of this power station includes the permanent occupation area, the temporary use area, and the reservoir inundation area. Among them, the reservoir inundation area of the recommended plan completely coincides with the permanent occupation area, the reservoir inundation area of the alternative plan 1 partially coincides with the permanent occupation area, the reservoir inundation area of the alternative plan 2 partially coincides with the temporary use area, and the reservoir inundation area of the alternative plan 3 partially coincides with the permanent occupation area and the temporary use area. It is necessary to conduct land type statistics and area calculations on the construction land acquisition treatment scopes of the four plans.

[0051] Step 1. Collect map data. Obtain the construction land acquisition treatment scope maps in DWG format determined by the hydropower project plan, including the DWG format file of the permanent occupation area, the DWG format file of the temporary use area, and the DWG format file of the reservoir inundation area. At the same time, obtain the SHP format file of the latest third national land survey data of the target research area according to the location of County A.

[0052] Step 2: Preprocess the input data. First, open the DWG format file of the land acquisition processing scope for construction in AutoCAD software, delete the irrelevant layers, and only retain the closed boundary lines. Check that the shape of the land acquisition processing scope map for construction is unique and non-repetitive, and export the DWG format files of the permanent occupation area, the temporary use area, and the reservoir inundation area respectively. Then, import the vector graph of the target research area and the processed land acquisition processing scope map for construction into the ArcMap software platform for accurate overlay.

[0053] Step 3: Construct a statistical model for land types in the land acquisition processing scope of hydropower project construction. The construction process is as follows: Step 31: Create a new toolbox and establish an initial blank model based on the toolbox; Step 32: In the blank model, perform input data operations, add processing tool operations, add connection operations, set parameter operations, and set annotation operations in sequence; thus completing the construction of the land type statistical model.

[0054] In this embodiment, the operation process in Step 32 includes: Step 321: Process the overlapping area: The inundation area is used as an erase feature to overlay with another input feature to create a new feature class for processing the overlapping area. In this way, the overlapping part can be accurately identified and processed, avoiding duplicate calculations or omissions, and laying a foundation for accurate subsequent statistics, forming a land acquisition processing scope map without overlapping areas; further, when there is an overlap between the reservoir inundation area and the permanent occupation area or the temporary use area, reasonable permutations and combinations are made according to the actual situation of the industry. The overlapping situations include: 1) The reservoir inundation area completely overlaps with the permanent occupation area; 2) The reservoir inundation area partially overlaps with the permanent occupation area; 3) The reservoir inundation area partially overlaps with the temporary use area; 4) The reservoir inundation area partially overlaps with the permanent occupation area and the temporary use area; According to the provisions of the "Specification for Defining the Land Acquisition Processing Scope of Hydropower Projects" (NB / T 10338-2019), the overlapping part between the hub project construction area and the reservoir inundation area should be included in the reservoir inundation area for processing, so as to ensure the standardization and accuracy of the overlapping area processing. It should be noted that since there is no clear regulation on how to handle the overlap between the reservoir influence area and the permanent occupation area or the temporary use area in the specification, and in actual projects, such situations are rarely encountered, therefore, the overlap between the reservoir influence area and the permanent occupation area or the temporary use area is not considered.

[0055] It should be further noted that the first purpose of overlapping area processing is to clearly distinguish the boundaries of the permanent occupation area, the temporary use area, the reservoir inundation area, and the reservoir influence area; the second purpose is that the graphics of the overlapping part are classified as the inundation area, and the area of the overlapping area of the graphics being overlapped should be reduced.

[0056] Step 322, Obtain geometric intersection: Perform the intersection operation of line with line or surface with surface on the construction land acquisition processing scope map (without overlapping areas) of the DWG format file and the corresponding graphics of the third national land survey data, so as to obtain the geometric intersection of the input elements. The operation of geometric intersection can accurately define the overlapping parts between different regions, thus accurately dividing land types.

[0057] Step 323, Add area field: Add a new area attribute field to the geometric intersection of the input elements to facilitate the accurate calculation and statistics of the area in the follow-up. The addition of the area field provides a direct data basis for the subsequent area calculation.

[0058] Step 324, Develop attribute aggregation elements: According to the actual needs of the project, use the fusion function to process the data, select the required fields and calculate the total values. The output data is the integrated and cleaned data. Through aggregation and integration, complex data can be organized into a clear and usable form.

[0059] Step 325, Output Excel file and form a callable tool at the same time: Convert the attribute table into a table in Microsoft Excel format, and finally generate Tool 1 and Tool 2 to realize the one-key operation of land type statistics for the construction land acquisition processing scope of hydropower projects. Among them, Tool 1 is the land type statistics and area calculation for the construction land acquisition processing scope (without overlapping areas); Tool 2 is the land type statistics and area calculation for the construction land acquisition processing scope (with overlapping areas).

[0060] Step 4, Add preprocessed data. Open the Arcmap 10.7 version, first add the SHP format file of the third national land survey data of County A, and then add the DWG format files of the permanently occupied areas, temporarily used areas, and reservoir inundation areas processed by the recommended plan, alternative plan 1, alternative plan 2, and alternative plan 3 respectively. Check whether the geographic information of the third national land survey data of County A and all the DWG format files is consistent and accurate in space. If not, coordinate transformation, translation, spatial correction and other methods are needed to accurately overlap the construction land acquisition processing scope map with the third national land survey data of County A to ensure the consistency and accuracy of geographic information in space.

[0061] Step 5, Use the constructed land type statistics model for the construction land acquisition processing scope of hydropower projects to calculate the land type area and organize the land type data.

[0062] Specifically, according to the actual situation of the project, when the recommended plan and alternative plan 1, that is, when the reservoir inundation area and the permanently occupied area completely or partially overlap, the method of using the model is as follows:

[0063] Open Tool 1. Add the DWG format file of the temporary use area of the recommended / best alternative 1 and the SHP format file of the third national land survey data. Select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results (including land type area calculation results) of the temporary use area of the recommended / best alternative 1.

[0064] Open Tool 1. Add the DWG format file of the reservoir inundation area of the recommended / best alternative 1 and the SHP format file of the third national land survey data. Select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results (including land type area calculation results) of the reservoir inundation area of the recommended / best alternative 1.

[0065] Open Tool 2. Add the DWG format file of the reservoir inundation area of the recommended / best alternative 1, the DWG format file of the permanent occupied area, and the SHP format file of the third national land survey data. Select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results (including land type area calculation results) of the permanent occupied area of the recommended / best alternative 1.

[0066] Specifically, according to the actual situation of the project, for the best alternative 2, that is, when there is partial overlap between the reservoir inundation area and the temporary use area, the method of using the model is as follows:

[0067] Open Tool 2, add the DWG format file of the reservoir inundation area of the best alternative 2, the DWG format file of the temporary use area, and the SHP format file of the third national land survey data. Select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results (including land type area calculation results) of the temporary use area.

[0068] Open Tool 1, add the DWG format file of the reservoir inundation area of the best alternative 2 and the SHP format file of the third national land survey data. Select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results (including land type area calculation results) of the reservoir inundation area.

[0069] Open Tool 1, add the DWG format file of the permanent occupied area of the best alternative 2 and the SHP format file of the third national land survey data. Select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results (including land type area calculation results) of the permanent occupied area.

[0070] Specifically, according to the actual situation of the project, for the best alternative 3, that is, when there is partial overlap between the reservoir inundation area, the permanent occupied area, and the temporary use area, the method of using the model is as follows:

[0071] Open Tool 2, add DWG format files of the reservoir inundation area of Comparison Option 3, DWG format files of the temporary use area, and SHP format files of the third national land survey data, select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results of the temporary use area (including the calculation results of land type areas).

[0072] Open Tool 2, add DWG format files of the reservoir inundation area of Comparison Option 3, DWG format files of the permanent occupation area, and SHP format files of the third national land survey data, select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results of the permanent occupation area (including the calculation results of land type areas).

[0073] Open Tool 1, add DWG format files of the reservoir inundation area of Comparison Option 3 and SHP format files of the third national land survey data, select the field attributes to be counted, determine the save path, and then click OK to obtain the land type statistics results of the reservoir inundation area (including the calculation results of land type areas).

[0074] Step 6, Output results. In some embodiments, the finally generated results are respectively presented in the form of SHP format and Microsoft Excel format tables. The SHP format is convenient for intuitive graphical display in the ArcMap software platform, while the Excel format table is convenient for data viewing and further analysis in the next step.

[0075] It should be noted that in the above steps, when using the same tool, they can be batch processed together.

[0076] In some embodiments, a land type statistics modeling system for the land acquisition processing scope of hydropower project construction based on ArcGIS can also be provided. The system includes a data collection module, a preprocessing module, a model construction module, and a verification module; the data collection module transmits the collected data to the preprocessing module through a communication method, the preprocessing module performs preprocessing operations on the received data, and transmits the preprocessed data to the model construction module for model construction. The model construction module transmits the data to the verification module, and the verification module performs verification operations on the received data.

[0077] Specifically, the data acquisition module can be a data collector, which is used to acquire or collect map data and can implement the specific operations of step 1; the preprocessing module is used to perform preprocessing operations on the received map data and can implement the specific operations of step 2; the model construction module constructs a model based on the received data and can implement the specific operations of step 3; the verification module includes a data input module, a data processing module, and a data output module; the preprocessed data is input into the data input module, then the data is conveyed to the data processing module, and the data calculated by the data processing module is sent to the data output module and then output. Further, the data input module can implement the specific operations of step 4, the data processing module can implement the specific operations of step 5, and the data output module can implement the specific operations of step 6.

[0078] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than limiting the protection scope of the present invention. Any simple modification or equivalent replacement made by those of ordinary skill in the art to the technical solution of the present invention does not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A statistical modeling method for land classification in the scope of land acquisition for hydropower project construction, characterized in that: The following steps are involved: Step 1: Collect map data; Step 2: preprocessing the collected map data; Step 3: Based on the preprocessed data, a statistical model of land types in the scope of land acquisition for hydropower project construction is constructed; The construction process is: Step 31: Create a new toolbox and establish an initial blank model based on the toolbox; Step 32: In the blank model, perform operations of inputting data, adding processing tools, adding connections, setting parameters, and setting annotations in sequence, thereby completing the construction of the land statistics model.

2. A statistical modeling method for land use classification in the scope of land acquisition for hydropower project construction according to claim 1, characterized in that: The collection process in step 1 is: Step 11, determine the construction land acquisition processing scope map of the DWG format file; the construction land acquisition processing scope map needs to clearly define the graphic information of the permanent occupied area, temporary occupied area, reservoir inundation area and reservoir impact area; Step 12: Obtain the third national land survey data or land use status data of the target study area by constructing the location of the hydropower project shown on the land acquisition processing range map.

3. A method for statistical modeling of land types in the scope of land acquisition for hydropower project construction according to claim 2, characterized in that: The preprocessing process in step 2 is: First, the DWG format files corresponding to the permanent occupied area, temporary area, reservoir inundation area and reservoir influence area determined by the hydropower project plan are processed respectively, and irrelevant layers are deleted, only closed range lines are retained, and the shape of the construction land acquisition processing range map is ensured to be unique and non-repetitive; then the vector graphics of the target study area and the processed construction land acquisition processing range map are imported into the ArcMap software platform for overlapping.

4. A statistical modeling method for land classification in the scope of land acquisition for hydropower project construction according to claim 3, characterized in that: The operation process in step 32 includes: Step 321, processing the overlapping area; Step 322, calculating the geometric intersection; Step 323, add area field; Step 324, formulate attribute aggregation elements; Step 325: Output the Excel file.

5. A statistical modeling method for land classification in the scope of land acquisition for hydropower project construction according to claim 4, characterized in that: In step 321, when the reservoir inundation area overlaps with the permanent occupied area or the temporary occupied area, the overlap includes: 1) The reservoir inundation area completely overlaps with the permanent occupied area; 2) The reservoir inundation area partially overlaps with the permanent occupied area; 3) The reservoir inundation area partially overlaps with the temporary use area; 4) The reservoir inundation area partially overlaps with both the permanent occupied area and the temporary occupied area.

6. A statistical modeling method for land use classification in the scope of land acquisition for hydropower project construction according to claim 5, characterized in that: In step 3, the completed land statistical model is verified and operated. When the completed land statistical model is verified to be accurate, the land statistical model is released and a callable tool is formed.

7. A method for statistical modeling of land types in the scope of land acquisition for hydropower project construction according to claim 6, characterized in that: The use process of the land classification statistical model for the land acquisition scope of hydropower project construction is as follows: Step 4: Input preprocessed data; Step 5, calculate the land area and organize the land data; Step 6: Output the results and obtain the area of ​​each land type within the scope of land acquisition for construction.

8. A method for statistical modeling of land types in the scope of land acquisition for hydropower project construction according to claim 7, characterized in that: In step 4, first add the SHP format file of the third national land survey data or land use status data of the target study area, and then add the pre-processed DWG format files of the permanent occupied area, temporary occupied area, reservoir inundation area and reservoir influence area respectively.

9. The method for statistical modeling of land types in the scope of land acquisition for hydropower project construction according to claim 7 is characterized in that: In step 5, first determine whether there are overlapping areas between the construction land acquisition processing ranges, input data and run, and obtain the land classification data sorting results of the construction land acquisition processing range.

10. A land classification statistical modeling system for land acquisition and processing scope of hydropower project construction, characterized in that: A statistical modeling method for land classification within the scope of land acquisition for hydropower project construction as described in any one of claims 1 to 9 is implemented, wherein the system includes a data acquisition module, a preprocessing module, a model building module and a verification module; The data acquisition module transmits the collected data to the preprocessing module through communication. The preprocessing module performs preprocessing operations on the received data and transmits the preprocessed data to the model building module for model building. The model building module transmits the data to the verification module, and the verification module performs verification operations on the received data.

Citation Information

Patent Citations

  • Urban catchment potential area identification method

    CN110175370A

  • GIS-based reservoir engineering construction land acquisition and material object statistics processing method

    CN113806460A

  • Intelligent investment attracting platform and spatial modeling method thereof

    CN116503572A