A GIS-based method and system for territorial spatial planning

Abstract

The present application discloses a method and system for national land spatial planning based on GIS, which relates to the technical field of national land planning. The method includes the following steps: obtaining map information of all areas to be planned; analyzing elements of all map information through GIS and calculating the floor area of each element in the map information where it is located; screening all map information based on the pre-imported planning requirements and the floor area, and selecting the area to be planned corresponding to the map information that best meets the planning requirements as the optimal planning area; analyzing the planning requirements to obtain multiple planning layouts; initiating an online scoring for all planning layouts and obtaining a scoring result, and selecting the optimal planning layout from all planning layouts according to the scoring result; and performing spatial planning on the optimal planning area using the optimal planning layout. The present application has the effect of saving time and effort in the process of land spatial planning.

Description

Technical Field

[0001] This application relates to the technical field of land planning, and in particular, to a method and system for national land spatial planning based on GIS. Background Art

[0002] A Geographic Information System (GIS) is sometimes also called a "geo-information system". It is a specific and very important spatial information system. It is a technical system that collects, stores, manages, calculates, analyzes, displays, and describes geographical distribution data in the space of the entire or part of the earth's surface (including the atmosphere) under the support of computer hardware and software systems.

[0003] In the related art, GIS is often used in the process of national land spatial planning. Technical personnel conduct preliminary investigations on the land that needs to be spatially planned in the region. After the investigation, the land that needs to be planned is demarcated. At this time, combined with technologies such as GIS, remote sensing, and satellite photos, the land in the region can be comprehensively analyzed to obtain relatively complete land information. Finally, according to the planning requirements, further detailed investigations are carried out on the land in each region and the planning is completed.

[0004] Regarding the above related art, the inventor believes that there are the following defects: After obtaining the planning requirements, it is necessary to conduct manual investigations on each region one by one according to the planning requirements. After the investigation, the region that best meets the requirements is selected, and then detailed planning needs to be carried out on this region according to the planning requirements. The overall planning process requires a lot of manpower and time. Summary of the Invention

[0005] In order to improve the defect that the planning process requires a lot of manpower and time, this application provides a method and system for national land spatial planning based on GIS.

[0006] In a first aspect, this application provides a method for national land spatial planning based on GIS, and the method includes the following steps:

[0007] Obtain the map information of all regions to be planned;

[0008] Analyze the elements of all map information through GIS, and calculate the floor area of each element in its corresponding map information respectively;

[0009] Based on the pre-imported planning requirements and the floor area, screen all map information, and select the region to be planned corresponding to the map information that best meets the planning requirements as the optimal planning region;

[0010] Analyze the planning requirements to obtain multiple planning layouts;

[0011] Initiate an online scoring for all planning layouts and obtain the scoring results, and select the optimal planning layout from all the planning layouts according to the scoring results;

[0012] Use the optimal planning layout to perform spatial planning on the optimal planning area.

[0013] By adopting the above technical solution, GIS is used to analyze various elements such as buildings, vegetation, roads, etc. in the map information of the area to be planned, and calculate the floor areas of each element. Then, through a preliminary analysis of the keywords in the planning requirements, the preliminary analysis results combined with the floor areas of each element can be used to screen the map information, and the map information that meets the planning requirements is screened out. The area to be planned corresponding to this map information is the optimal planning area. Therefore, the step of manually inspecting all areas to be planned in detail can be omitted. After screening out the optimal planning area, the planning requirements are analyzed in detail and multiple planning layouts under the constraint conditions are generated, and then the planning layout with the highest score is selected as the optimal planning layout through online scoring. Finally, the optimal planning layout is used to perform spatial planning on the optimal planning area, so as to complete the spatial planning required in the planning requirements with less manpower and time.

[0014] Optionally, the step of analyzing all elements of the map information through GIS and calculating the floor areas of each element in its corresponding map information respectively includes the following steps:

[0015] Parse the color attribute values and color area distributions of all map information through GIS;

[0016] Calculate the color value ranges of each element respectively according to the element characteristics;

[0017] Analyze the elements corresponding to the color attribute values in the map information based on the color value ranges;

[0018] Circumscribe the coverage areas of each element on the map information based on the color area distributions respectively;

[0019] Calculate the areas of the coverage areas of each element respectively to obtain the floor areas of each element in its corresponding map information.

[0020] By adopting the above technical solution, first parse the color attribute values of various colors in the map information through GIS, and then calculate the color value ranges of various elements through element characteristics. According to the color value ranges to which the color attribute values belong, various elements corresponding to various colors in the map information can be analyzed. At this time, the area distribution of the colors in the map information represents the coverage areas of the elements. Circumscribing the coverage areas and calculating the area of the region can obtain the floor areas of the elements in the map information.

[0021] Optionally, screening all map information based on the pre-imported planning requirements and the floor area, and selecting the to-be-planned area corresponding to the map information that best meets the planning requirements as the optimal planning area includes the following steps:

[0022] Identify the element requirements in the planning requirements through preset element keywords;

[0023] Analyze the requirement distribution, required area, and requirement priority of each element based on the element requirements;

[0024] Compare the required area of each element with the floor area of each element in all map information respectively, and determine whether the similarity is greater than a preset similarity threshold;

[0025] If the similarity is not greater than the preset similarity threshold, exclude the corresponding map information;

[0026] If the similarity is greater than the preset similarity threshold, use the corresponding map information as the primary selected map information, and use the to-be-planned area corresponding to the primary selected map information as the primary selected planning area;

[0027] Select the optimal planning area from all primary selected planning areas according to the requirement distribution of each element and the requirement priority of each element.

[0028] By adopting the above technical solution, various requirements for each element in the planning requirements are analyzed through keywords. Among them, the map information can be initially screened according to the required area of each element, the similarity between the required area and the actual floor area is compared, and then the similarity is screened through a preset similarity threshold, and the map information with a similarity less than the similarity threshold is screened out. Then, the primary selected map information with a similarity greater than the similarity threshold is further screened according to other requirements for each element.

[0029] Optionally, selecting the optimal planning area from all primary selected planning areas according to the requirement distribution of each element and the requirement priority of each element includes the following steps:

[0030] Screen out all high-priority elements by comparing the requirement priority of each element with a preset priority level threshold;

[0031] Determine whether all high-priority elements are included in the primary selected map information of each primary selected planning area respectively;

[0032] If all high-priority elements are not included, exclude the corresponding primary selected planning area;

[0033] If all high-priority elements are included, the corresponding primary selection map information is used as the alternative map information, and the corresponding primary selection planning area is used as the alternative planning area;

[0034] The optimal planning area is selected from all alternative planning areas according to the required distribution of each element.

[0035] By adopting the above technical solution, the high-priority elements in the planning requirements are screened out through a preset priority level threshold, and then it is judged whether all high-priority elements are included in the primary selection map information. The primary selection planning areas corresponding to the primary selection map information that does not include all high-priority elements are screened out. The primary selection map information that includes all high-priority elements is used as the alternative map information, and further screening is carried out according to the distribution of elements in the planning requirements.

[0036] Optionally, the step of selecting the optimal planning area from all alternative planning areas according to the required distribution of each element includes the following steps:

[0037] Analyze the fixed distribution of each element in all alternative planning areas;

[0038] Compare the fixed distribution of each element in all alternative planning areas with the required distribution respectively, and calculate the coincidence rate of the distribution respectively;

[0039] Judge whether the coincidence rate is greater than a preset coincidence rate threshold;

[0040] If the coincidence rate is not greater than the preset coincidence rate threshold, exclude the corresponding alternative planning area;

[0041] If the coincidence rate is greater than the preset coincidence rate threshold, use the corresponding alternative planning area as the optimal planning area.

[0042] By adopting the above technical solution, the required distribution of elements in the planning requirements is compared with the fixed distribution of each element in the alternative planning areas for coincidence, the coincidence rate of the comparison is calculated, and then screening is carried out through a preset coincidence rate threshold. The alternative planning areas with a coincidence rate less than the threshold are screened out, and the alternative planning areas with a coincidence rate greater than the threshold are the optimal planning areas.

[0043] Optionally, the step of analyzing the planning requirements to obtain multiple planning layouts includes the following steps:

[0044] Identify the layout requirements in the planning requirements through preset layout keywords;

[0045] Analyze the layout requirements to obtain the types of layout elements, the areas of layout elements, and layout constraint conditions;

[0046] Combining based on the types of layout elements and the areas of the layout elements to obtain multiple planned layouts that meet the layout constraint conditions.

[0047] By adopting the above technical solution, keyword analysis is performed on the planning requirements again to analyze various layout requirements. Based on the layout constraint conditions among them and taking the types of layout elements and the areas of the layout elements as fixed attributes, multiple combinations are carried out to combine multiple planned layouts that meet the layout requirements in the planning requirements.

[0048] Optionally, initiating an online scoring for all planned layouts and obtaining the scoring results. Selecting the optimal planned layout from all planned layouts according to the scoring results includes the following steps:

[0049] Taking all planned layouts as objects and generating an online scoring link based on the identity verification platform;

[0050] Obtaining the online scoring and the identity information corresponding to the online scoring through the online scoring link, where the identity information includes technical personnel and externally hired experts;

[0051] Assigning a first weight value to the online scoring of the technical personnel and a second weight value to the online scoring of the externally hired experts, where the second weight value is greater than the first weight value;

[0052] Calculating the first scoring results of all planned layouts according to the first weight value and the online scoring of the technical personnel respectively;

[0053] Calculating the second scoring results of all planned layouts according to the second weight value and the online scoring of the externally hired experts respectively;

[0054] Selecting the planned layout with the highest score from all planned layouts by combining the first scoring result and the second scoring result as the optimal planned layout.

[0055] By adopting the above technical solution, obtaining the scores of technical personnel and externally hired experts for all planned layouts in the way of combining online scoring and identity verification, and assigning different weight values to the scores of technical personnel and externally hired experts. Since the professionalism of externally hired experts is stronger than that of technical personnel, the weight value of the scores of externally hired experts is higher. Then, combining the scoring results of technical personnel and externally hired experts after assigning weight values to obtain the final scoring result. At this time, the planned layout with the highest score can be used as the optimal planned layout.

[0056] In a second aspect, the present application also provides a GIS-based national land space planning system, including:

[0057] An information import module for importing map information and planning requirements of the area to be planned;

[0058] A GIS module for analyzing elements in the map information and calculating the floor areas of each element in the map information where it is located;

[0059] An analysis and screening module for analyzing the planning requirements to screen out the optimal planning area from the area to be planned and obtaining multiple planning layouts from the planning requirements;

[0060] A scoring module for initiating scoring with the planning layout as the object to obtain a scoring result and selecting the optimal planning layout according to the scoring result.

[0061] By adopting the above technical solution, all map information of the areas to be planned is imported through the information import module, and then the elements of all map information are analyzed by the GIS module. The analysis and screening module can screen the map information analyzed by the GIS module according to the planning requirements, so as to screen out the optimal planning area. The analysis and screening module can also analyze multiple planning layouts according to the planning requirements imported by the information import module, and then score the planning layouts through the scoring module. The optimal planning layout is selected according to the scoring result. Finally, the optimal planning layout is used to carry out spatial planning for the optimal planning area.

[0062] In summary, the present application includes at least one of the following beneficial technical effects:

[0063] 1. By initially analyzing the keywords in the planning requirements, the preliminary analysis results combined with the floor areas of each element can screen the map information, and the map information that meets the planning requirements is screened out. The area to be planned corresponding to this map information is the optimal planning area. Therefore, the step of manually examining all areas to be planned in detail can be omitted.

[0064] 2. After screening out the optimal planning area, the planning requirements are analyzed in detail and multiple planning layouts under the constraint conditions are generated. The scores of all planning layouts are obtained from technicians and external experts in the way of online scoring combined with identity verification, and different weight values are assigned to the scores of technicians and external experts. Since the professionalism of external experts is stronger than that of technicians, the weight value of the scores of external experts is higher. Then, the score results of technicians and external experts with weight values are combined to obtain the final score result. At this time, the planning layout with the highest score can be used as the optimal planning layout. Finally, the optimal planning layout is used to carry out spatial planning for the optimal planning area, so as to complete the spatial planning required in the planning requirements with less manpower and time. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a schematic flowchart of a GIS-based national land spatial planning method according to an embodiment of the present application.

[0066] Figure 2 It is a schematic flowchart for calculating the floor area of each element in the map information where it is located in one embodiment of the present application.

[0067] Figure 3 It is a schematic flowchart for preliminarily screening map information based on planning requirements and floor area in one embodiment of the present application.

[0068] Figure 4 It is a schematic flowchart for screening alternative planning areas from the initially selected planning areas in one embodiment of the present application.

[0069] Figure 5 It is a schematic flowchart for screening the optimal planning area from the alternative planning areas in one embodiment of the present application.

[0070] Figure 6 It is a schematic flowchart for analyzing planning requirements to obtain multiple planning layouts in one embodiment of the present application.

[0071] Figure 7 It is a schematic flowchart for selecting the optimal planning layout according to the online scoring results in one embodiment of the present application. Detailed implementation manners

[0072] The following will Figure 1-7 further elaborate on the present application in detail with reference to the attached

[0073] The embodiment of the present application discloses a GIS-based national land space planning method.

[0074] Refer to Figure 1 , the GIS-based national land space planning method includes the following steps:

[0075] 101. Obtain the map information of all areas to be planned.

[0076] 102. Analyze the elements of all map information through GIS, and calculate the floor area of each element in the map information where it is located respectively.

[0077] Among them, the elements include but are not limited to vegetation, roads, public facilities, civilian facilities, military facilities, undeveloped land, etc.

[0078] 103. Screen all map information based on the pre-imported planning requirements and the floor area, and select the area to be planned corresponding to the map information that best meets the planning requirements as the optimal planning area.

[0079] 104. Analyze the planning requirements to obtain multiple planning layouts.

[0080] 105. Initiate an online rating for all planning layouts and obtain the rating results, and select the optimal planning layout from all the planning layouts according to the rating results.

[0081] 106. Use the optimal planning layout to perform spatial planning on the optimal planning area.

[0082] The implementation principle of this embodiment is as follows:

[0083] Use GIS to analyze various elements such as buildings, vegetation, and roads in the map information of the area to be planned, calculate the floor area of each element, and then through a preliminary analysis of the keywords in the planning requirements, the preliminary analysis results combined with the floor area of each element can be used to screen the map information, and the area to be planned corresponding to the map information that meets the planning requirements is the optimal planning area. Therefore, the step of manually inspecting all areas to be planned in detail can be omitted. After screening out the optimal planning area, conduct a detailed analysis of the planning requirements and generate multiple planning layouts under the constraint conditions, and then select the planning layout with the highest score as the optimal planning layout through online rating. Finally, use the optimal planning layout to perform spatial planning on the optimal planning area, so as to complete the spatial planning required in the planning requirements with less manpower and time.

[0084] In Figure 1 In step 102 of the illustrated embodiment, the colors in the map information are corresponded to the elements according to different elements corresponding to different colors, and the floor area of the corresponding elements is calculated according to the coverage area of the colors. Specifically, it is described in detail through Figure 2 the illustrated embodiment.

[0085] Referring to Figure 2 , analyzing the elements of all map information and respectively calculating the floor area of each element in its corresponding map information includes the following steps:

[0086] 201. Parse the color attribute values and color area distributions of all map information through GIS.

[0087] Among them, the color attribute values include RGB color values, grayscale values, and saturation values.

[0088] 202. Calculate the color value ranges of each element respectively according to the element characteristics.

[0089] Among them, the element characteristics used for calculation are collected from the elements in multiple areas to be planned, and the calculated color value ranges include the value ranges of each value in the RGB three-color values, the grayscale value range, and the saturation value range.

[0090] 203. Analyze the elements corresponding to the color attribute values in the map information based on the color value ranges.

[0091] Among them, if any two of the RGB color values in the color attribute value of a certain location in the map information are within the value range of the RGB color values of a certain element, and any one of the grayscale value or the saturation value is within the grayscale value range or the saturation value range of the same element, then the color at this location in the map information can be corresponding to the element.

[0092] 204. Based on the color area distribution on the map information, respectively demarcate the coverage areas of each element.

[0093] 205. Calculate the areas of the coverage areas of each element respectively to obtain the floor areas of each element on the map information where it is located.

[0094] Among them, calculate the areas of the coverage areas of each element by the pixel splicing method.

[0095] The implementation principle of this embodiment is as follows:

[0096] First, parse the color attribute values of various colors in the map information through GIS, then calculate the color value ranges of various elements through element features. According to the color value ranges to which the color attribute values belong, various elements corresponding to various colors in the map information can be analyzed. At this time, the area distribution of colors in the map information represents the coverage areas of the elements. Demarcate the coverage areas and calculate the area of the regions to obtain the floor areas of the elements in the map information.

[0097] In Figure 1 In step 103 of the illustrated embodiment, analyze various requirements for elements in the planning requirements through keywords, and then preliminarily screen the map information through the required area therein to screen out the preliminary selected map information. Specifically, it is described in detail through Figure 3 the illustrated embodiment.

[0098] Referring to Figure 3 , the preliminary screening of the map information based on the planning requirements and the floor area includes the following steps:

[0099] 301. Identify the element requirements in the planning requirements through preset element keywords.

[0100] Among them, the planning requirements are generated according to the agreed keyword rules. Therefore, after importing the planning requirements, the element requirements therein can be identified according to the preset element keywords.

[0101] 302. Analyze according to the element requirements to obtain the requirement distribution, required area and requirement priority of each element.

[0102] Among them, the required distribution of each element is mainly the orientation of each element in the area to be planned, the required area is the minimum required area of the element, and the required priority reflects the importance of the element in the planning requirements.

[0103] 303. Compare the required area of each element with the floor area of each element in all map information respectively.

[0104] 304. Determine whether the similarity is greater than a preset similarity threshold. If not, execute step 305; if so, execute step 306.

[0105] 305. Exclude the corresponding map information.

[0106] 306. Take the corresponding map information as the primary selected map information, and take the area to be planned corresponding to the primary selected map information as the primary selected planning area.

[0107] 307. Screen out the optimal planning area from all the primary selected planning areas according to the required distribution of each element and the required priority of each element.

[0108] The implementation principle of this embodiment is as follows:

[0109] Analyze the requirements for each element in the planning requirements through keywords. Among them, the map information can be initially screened according to the required area of each element, compare the required area with the similarity of the actual floor area, and then screen the similarity through a preset similarity threshold, screen out the map information less than the similarity threshold, and then further screen the primary selected map information greater than the similarity threshold according to other requirements for each element.

[0110] In Figure 3 In step 307 of the illustrated embodiment, continue to further screen the primary selected map information according to the required distribution of the elements in the planning requirements to screen out the alternative map information. Specifically, it is described in detail through the Figure 4 illustrated embodiment.

[0111] Referring to Figure 4 , screening out the alternative planning area from the primary selected planning area includes the following steps:

[0112] 401. Screen out all high-priority elements by comparing the required priority of each element with a preset priority level threshold.

[0113] Among them, for example, assume that the required priority of vegetation is the highest level 10, and the required priority of undeveloped land is the lowest level 1. At this time, the preset priority level threshold is 7. Then the vegetation with a required priority greater than 7 is a high-priority element.

[0114] 402. Determine whether the primary map information of each initially selected planning area contains all high-priority elements. If not, execute step 403; if so, execute step 404.

[0115] 403. Exclude the corresponding initially selected planning area.

[0116] 404. Use the corresponding primary map information as the alternative map information and the corresponding initially selected planning area as the alternative planning area.

[0117] 405. Screen out the optimal planning area from all alternative planning areas according to the required distribution of each element.

[0118] The implementation principle of this embodiment is as follows:

[0119] Screen out the high-priority elements in the planning requirements through a preset priority level threshold, then determine whether the primary map information contains all high-priority elements, screen out the initially selected planning areas corresponding to the primary map information that does not contain all high-priority elements, use the primary map information that contains all high-priority elements as the alternative map information, and further screen according to the distribution of elements in the planning requirements.

[0120] In Figure 4 In step 405 of the illustrated embodiment, finally, screen the alternative map information according to the required distribution of elements in the planning requirements to screen out the optimal map information and the optimal planning area corresponding to the optimal map information. It is specifically described in detail through the Figure 5 illustrated embodiment.

[0121] Referring to Figure 5 , screening out the optimal planning area from the alternative planning areas includes the following steps:

[0122] 501. Analyze the fixed distribution of each element in all alternative planning areas.

[0123] Among them, the location of each element in the alternative planning area analyzed by GIS is the fixed distribution of each element.

[0124] 502. Compare the fixed distribution of each element in all alternative planning areas with the required distribution respectively, and calculate the coincidence rate of the distribution respectively.

[0125] 503. Determine whether the coincidence rate is greater than the preset coincidence rate threshold. If not, execute step 504; if so, execute step 505.

[0126] 504. Exclude the corresponding alternative planning area.

[0127] 505, take the corresponding alternative planning area as the optimal planning area.

[0128] The implementation principle of this embodiment is as follows:

[0129] Compare the requirement distribution of elements in the planning requirements with the fixed distribution of each element in the alternative planning area, calculate the coincidence rate of the comparison, and then screen through a preset coincidence rate threshold. Screen out the alternative planning areas with a coincidence rate lower than the threshold, and the alternative planning areas with a coincidence rate higher than the threshold are the optimal planning areas.

[0130] In Figure 1 In step 104 of the embodiment shown, analyze each layout requirement in the planning requirements through layout keywords, and combine various layout plans that meet the planning requirements based on each layout requirement. Specifically, it is described in detail through the Figure 6 embodiment shown.

[0131] Referring to Figure 6 , analyzing the planning requirements to obtain multiple layout plans includes the following steps:

[0132] 601, identify the layout requirements in the planning requirements through preset layout keywords.

[0133] 602, analyze the layout requirements to obtain the types of layout elements, the areas of layout elements, and layout constraint conditions.

[0134] Among them, the layout constraint conditions restrict the areas where elements are located, specific element areas, areas where specific elements are prohibited, etc.

[0135] 603, combine based on the types of layout elements and the areas of layout elements to obtain multiple layout plans that meet the layout constraint conditions.

[0136] The implementation principle of this embodiment is as follows:

[0137] Analyze the keywords of the planning requirements again, analyze each layout requirement, and based on the layout constraint conditions among them and taking the types of layout elements and the areas of layout elements as fixed attributes, perform multiple combinations to combine multiple layout plans that meet the layout requirements in the planning requirements.

[0138] In Figure 1 In step 105 of the embodiment shown, obtain the comprehensive scores of technical personnel and external experts by combining identity verification and online scoring, and select the layout plan with the highest comprehensive score as the optimal layout plan. Specifically, it is described in detail through the Figure 7 embodiment shown.

[0139] Referring to Figure 7 , selecting the optimal layout plan according to the online scoring results includes the following steps:

[0140] 701. Generate an online scoring link for all planning layouts based on the authentication platform with all planning layouts as the object.

[0141] Among them, technicians and external experts can enter the online scoring link through authentication and score all planning layouts.

[0142] 702. Obtain the online scores and the identity information corresponding to the online scores through the online scoring link, where the identity information includes technicians and external experts.

[0143] 703. Assign a first weight value to the online scores of technicians and a second weight value to the online scores of external experts.

[0144] Among them, since the professionalism of external experts is stronger than that of technicians, the assigned second weight value is greater than the first weight value.

[0145] 704. Calculate the first scoring results of all planning layouts according to the first weight value and the online scores of technicians respectively.

[0146] Among them, the calculation formula for the first scoring result is:

[0147]

[0148] In the formula, a 1 , a 2 , a n are the online scores of different technicians, n is the number of technicians, and M 1 is the first weight value.

[0149] 705. Calculate the second scoring results of all planning layouts according to the second weight value and the online scores of external experts respectively.

[0150] Among them, the calculation formula for the second scoring result is:

[0151]

[0152] In the formula, b 1 , b 2 , b n are the online scores of different external experts, m is the number of external experts, and M 2 is the second weight value.

[0153] 706. Select the planning layout with the highest score from all planning layouts by combining the first scoring result and the second scoring result as the optimal planning layout.

[0154] Among them, the sum of the scoring values of the first scoring result and the second scoring result is the final scoring value of the planning layout.

[0155] The implementation principle of this embodiment is as follows:

[0156] Obtain the scores of all planning layouts from technicians and external experts through online scoring combined with identity verification, and assign different weight values to the scores of technicians and external experts. Since the professionalism of external experts is stronger than that of technicians, the weight value of the scores of external experts is higher. Then combine the scoring results of technicians and external experts with weight values to obtain the final scoring result. At this time, the planning layout with the highest score can be used as the optimal planning layout.

[0157] This embodiment of the present application also discloses a GIS-based national land space planning system, which includes:

[0158] An information import module for importing map information and planning requirements of the area to be planned;

[0159] A GIS module for analyzing elements in the map information and calculating the floor area of each element in the map information where it is located;

[0160] An analysis and screening module for analyzing the planning requirements to screen out the optimal planning area from the area to be planned and obtaining multiple planning layouts from the planning requirements;

[0161] A scoring module for initiating scoring with the planning layout as the object and obtaining a scoring result, and selecting the optimal planning layout according to the scoring result.

[0162] The implementation principle of this embodiment is as follows:

[0163] Import all map information of the areas to be planned through the information import module, and then analyze the elements of all map information through the GIS module. The analysis and screening module can screen the map information analyzed by the GIS module according to the planning requirements, so as to screen out the optimal planning area. The analysis and screening module can also analyze multiple planning layouts according to the planning requirements imported by the information import module, and then score the planning layouts through the scoring module, select the optimal planning layout according to the scoring result, and finally use the optimal planning layout to perform spatial planning on the optimal planning area.

[0164] The above are all preferred embodiments of the present application. Without limiting the protection scope of the present application accordingly, therefore: Any equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A method for territorial spatial planning based on GIS, characterized in that, it includes the following steps: Obtain the map information of all areas to be planned; Analyze the elements of all map information through GIS, and calculate the floor area of each element in the map information where it is located respectively; Based on the pre-imported planning requirements and the floor area, screen all map information, and select the area to be planned corresponding to the map information that best meets the planning requirements as the optimal planning area; Analyze the planning requirements to obtain multiple planning layouts; Initiate an online scoring with all planning layouts as objects and obtain the scoring results, and select the optimal planning layout from all planning layouts according to the scoring results; Use the optimal planning layout to carry out spatial planning for the optimal planning area; Among them, the step of screening all map information based on the pre-imported planning requirements and the floor area, and selecting the area to be planned corresponding to the map information that best meets the planning requirements as the optimal planning area includes the following steps: Identify the element requirements in the planning requirements through preset element keywords; Analyze according to the element requirements to obtain the requirement distribution, required area and requirement priority of each element; Compare the required area of each element with the floor area of each element in all map information respectively, and judge whether the similarity is greater than a preset similarity threshold; If the similarity is not greater than the preset similarity threshold, exclude the corresponding map information; If the similarity is greater than the preset similarity threshold, use the corresponding map information as the primary selected map information, and use the area to be planned corresponding to the primary selected map information as the primary selected planning area; Select the optimal planning area from all primary selected planning areas according to the requirement distribution of each element and the requirement priority of each element; Among them, the step of selecting the optimal planning area from all primary selected planning areas according to the requirement distribution of each element and the requirement priority of each element includes the following steps: Screen all high-priority elements by comparing the requirement priority of each element with a preset priority level threshold; Judge whether all high-priority elements are included in the primary selected map information of each primary selected planning area respectively; If not all high-priority elements are included, exclude the corresponding primary selected planning area; If all high-priority elements are included, use the corresponding primary selected map information as the alternative map information, and use the corresponding primary selected planning area as the alternative planning area; Select the optimal planning area from all alternative planning areas according to the requirement distribution of each element; Among them, the step of selecting the optimal planning area from all alternative planning areas according to the requirement distribution of each element includes the following steps: Analyze the fixed distribution of each element in all alternative planning areas; Compare the fixed distribution of each element in all alternative planning areas with the requirement distribution respectively, and calculate the coincidence rate of the distribution respectively; Judge whether the coincidence rate is greater than a preset coincidence rate threshold; If the coincidence rate is not greater than the preset coincidence rate threshold, exclude the corresponding alternative planning area; If the coincidence rate is greater than a preset coincidence rate threshold, the corresponding alternative planning area is taken as the optimal planning area.

2. A GIS-based national land spatial planning method according to claim 1, characterized in that the steps of analyzing all elements of the map information through GIS and calculating the floor area of each element in the map information where it is located include the following: Parsing the color attribute values and color area distributions of all map information through GIS; Calculating the preset color value ranges of each element respectively according to the element characteristics; Analyzing the elements corresponding to the color attribute values in the map information based on the color value ranges; Circling the coverage areas of each element respectively on the map information based on the color area distributions; Calculating the areas of the coverage areas of each element respectively to obtain the floor areas of each element in the map information where it is located.

3. A GIS-based national land spatial planning method according to claim 1, characterized in that the steps of analyzing the planning requirements to obtain multiple planning layouts include the following: Identifying the layout requirements in the planning requirements through preset layout keywords; Analyzing the layout requirements to obtain the layout element types, layout element areas, and layout constraint conditions; Combining the layout element types and the layout element areas to obtain multiple planning layouts that meet the layout constraint conditions.

4. A GIS-based national land spatial planning method according to claim 1, characterized in that initiating an online score for all planning layouts and obtaining a score result, and selecting the optimal planning layout from all planning layouts according to the score result includes the following steps: Generating an online score link based on all planning layouts and an identity verification platform; Obtaining the online scores and the identity information corresponding to the online scores through the online score link, where the identity information includes technical personnel and externally hired experts; Assigning a first weight value to the online scores of the technical personnel and a second weight value to the online scores of the externally hired experts, where the second weight value is greater than the first weight value; Calculating the first score results of all planning layouts respectively according to the first weight value and the online scores of the technical personnel; Calculating the second score results of all planning layouts respectively according to the second weight value and the online scores of the externally hired experts; Selecting the planning layout with the highest score from all planning layouts by combining the first score result and the second score result as the optimal planning layout.

5. A GIS-based national land spatial planning system, characterized in that it includes: An information import module for importing the map information and planning requirements of the area to be planned; A GIS module for analyzing the elements in the map information and for calculating the floor areas of each element in the map information where it is located; An analysis and screening module for analyzing the planning requirements to screen out the optimal planning area from the area to be planned and for analyzing multiple planning layouts from the planning requirements; A scoring module for initiating a score for the planning layouts and obtaining a score result, and selecting the optimal planning layout according to the score result; Among them, screening all map information based on the pre-imported planning requirements and the floor area, and screening out the to-be-planned area corresponding to the map information that best meets the planning requirements as the optimal planning area includes the following steps: Identifying the element requirements in the planning requirements through preset element keywords; Analyzing the requirement distribution, required area, and requirement priority of each element according to the element requirements; Comparing the required area of each element with the floor area of each element in all map information respectively, and determining whether the similarity is greater than a preset similarity threshold; If the similarity is not greater than the preset similarity threshold, excluding the corresponding map information; If the similarity is greater than the preset similarity threshold, regarding the corresponding map information as the preliminary selected map information, and regarding the to-be-planned area corresponding to the preliminary selected map information as the preliminary selected planning area; Screening out the optimal planning area from all preliminary selected planning areas according to the requirement distribution of each element and the requirement priority of each element; Among them, screening out the optimal planning area from all preliminary selected planning areas according to the requirement distribution of each element and the requirement priority of each element includes the following steps: Screening out all high-priority elements by comparing the requirement priority of each element with a preset priority level threshold; Respectively determining whether all high-priority elements are included in the preliminary selected map information of each preliminary selected planning area; If not all high-priority elements are included, excluding the corresponding preliminary selected planning area; If all high-priority elements are included, regarding the corresponding preliminary selected map information as the alternative map information, and regarding the corresponding preliminary selected planning area as the alternative planning area; Screening out the optimal planning area from all alternative planning areas according to the requirement distribution of each element; Among them, screening out the optimal planning area from all alternative planning areas according to the requirement distribution of each element includes the following steps: Analyzing the fixed distribution of each element in all alternative planning areas; Respectively comparing the fixed distribution of each element in all alternative planning areas with the requirement distribution, and calculating the coincidence rate of the distribution respectively; Determining whether the coincidence rate is greater than a preset coincidence rate threshold; If the coincidence rate is not greater than the preset coincidence rate threshold, excluding the corresponding alternative planning area; If the coincidence rate is greater than the preset coincidence rate threshold, regarding the corresponding alternative planning area as the optimal planning area.

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