Artificial intelligence planning method based on urban land resource management

Abstract

The invention relates to the technical field of land resource management, in particular to an artificial intelligence planning method based on urban land resource management, and the method comprises the steps: uploading the boundary coordinates of a planning target region, determining the planning target region based on the boundary coordinates of the planning target region, obtaining the structural parameters and construction information of each building in the planning target region, recording the obtained structural parameters and construction information of each building in the planning target area; according to the building demolition suitability analysis method and system, by setting specified classification screening logic, effective recommendation is provided for building demolition in a building demolition reconstruction scene of urban land resource management, and compared with a manual evaluation method, the intelligent degree and efficiency are higher, and the construction efficiency is improved. The method has a better effect in dealing with large-scale urban land resource management work, building demolition recommendation can be well and reasonably provided, and a lower-cost demolition planning service is provided for development of the urban land resource management work.

Description

Technical Field

[0001] The present invention relates to the technical field of land resource management, and in particular to an artificial intelligence planning method based on urban land resource management. Background Art

[0002] Urban land resource management aims to scientifically plan, rationally utilize and effectively protect urban land. It involves multiple links such as land planning, use control, transfer and registration. By accurately allocating land resources, balancing urban construction, ecology and residential needs, and improving land use efficiency, it plays a key role in promoting sustainable urban development.

[0003] The invention patent with application number 202211033938.4 discloses a method for optimizing the spatial allocation of land resources. The steps of the method for optimizing the spatial allocation of land resources are as follows: Step 1: Investigation, data collection and analysis, and establishment of an index system: Select several indicators from seven aspects, including commercial prosperity, industrial concentration, infrastructure density, population density, traffic conditions, ecological environment quality, and land use status, and establish three sets of land suitability evaluation index systems for commercial, industrial, and residential purposes, and use an improved hierarchical analysis method to assign index weights; Step 2: Basic model for suitability evaluation of urban land: Use GIS technology to evaluate the suitability of urban land. The mathematical model of suitability evaluation is established by technology, and the area is divided into small units. The same units have different attribute values. After superposition, it can better show the impact of different social factors, economic factors, humanities and other factors on the same unit; Step three: Establishment of urban land spatial optimization allocation model: Through the data and information investigated in step one, three sub-objective functions are established, including urban land suitability evaluation function, urban land type conversion cost function and urban land use type spatial coordination function: Step four: According to the basic model of urban land suitability evaluation and urban land spatial optimization allocation model in step two, the spatial distribution model is obtained.

[0004] The application aims to solve the problem that "due to social and economic development, land management was relatively chaotic, factories and residential areas were not separated, administrative land occupied important commercial areas, and various scenic spots contained industrial factories, which was not only detrimental to the health of residents, as well as economic development and social harmony. Therefore, a method for optimizing the spatial allocation of land resources is urgently needed."

[0005] In addition, in the house demolition and new construction scenarios of urban land resource management, in order to meet the needs of urban land resource planning and management, full-time personnel often make decisions based on discussions and evaluations based on their own experience. The process is relatively long and is highly affected by the experience level of the full-time personnel.

[0006] To this end, an artificial intelligence planning method based on urban land resources management is proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides an artificial intelligence planning method based on urban land resource management, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: An artificial intelligence planning method based on urban land resource management, comprising: Upload the boundary coordinates of the planning target area, determine the planning target area based on the boundary coordinates of the planning target area, obtain the structural parameters and construction information of each building in the planning target area, and record the obtained structural parameters and construction information of each building in the planning target area; analyze the demolition suitability of each building according to the structural parameters and construction information of each building, and analyze the compatibility of each building with each other according to the construction information of each building; input the structural parameters and construction information of the newly built target building, and screen iterative buildings that meet the scale of the newly built target building in the planning target area based on the structural parameters of the newly built target building; screen the same-purpose buildings again according to the building construction information in the iterative buildings, and simultaneously analyze the compatibility of the newly built target building with each building in the screened same-purpose buildings based on the construction information of the newly built target building; select two buildings as demolition selection targets according to the compatibility analysis results of the newly built target building and each building with the same purpose; obtain the buildings as demolition selection targets, analyze the adhesion degree between each demolition selection target building and its respective user group, and decide on the final demolition target building based on the adhesion degree analysis results.

[0009] Furthermore, when uploading the boundary coordinates of the planning target area, the number of the uploaded boundary coordinates is not less than three. In the determination stage of the planning target area, the uploaded boundary coordinates of the planning target area are captured in the electronic map containing the planning target area. After the boundary coordinates of the planning target area are captured, the boundary coordinates of the planning target area are connected adjacently to each other to determine the planning target area. The building structure parameters are building specification parameters, and the building construction information includes: building construction occupied area, building construction service life, building completion date, and building grade. When performing the recording operation, the building structure parameters and construction information in the planning target area are synchronously distinguished and marked based on the building name.

[0010] Furthermore, the demolition suitability analysis logic of the building is expressed as: ; Where: f is the suitability of building demolition; T now is the current timestamp; T finsh The date the building was completed; T 0is the service life of the building; S is the area occupied by the building; h is the building height; ω is the weight; Among them, the building height h comes from the building specification parameters. The larger the building demolition suitability f is, the more suitable the corresponding building is for demolition. Conversely, the corresponding building is less suitable for demolition. The weight ω is between 0 and 1, and the higher the building grade is, the larger the weight ω is, and vice versa.

[0011] Furthermore, the compatibility analysis logic between the buildings is expressed as: ; Where: G(a,b) is the compatibility of buildings a and b; S a , S b is the area occupied by the construction of buildings a and b; q a ,q b is the number of internal bays of buildings a and b; τ(a,b) is the consistency of the functional types of buildings a and b; f(●) is the adjustment function; Among them, the consistency of the functional types of buildings a and b τ(a,b) takes the value of 0 or 1. When the functional types of buildings a and b are the same, τ(a,b) takes the value of 1, otherwise, τ(a,b) takes the value of 0. The adjustment function f(●) obeys. If the numerator of the fraction in the brackets is not greater than the denominator, then f(●)=(●). If the numerator of the fraction in the brackets is greater than the denominator, then f(●)=(●) -1 .

[0012] Furthermore, in the iterative building stage of screening the new target buildings in the planning target area, all the buildings in the planning target area are taken as screening targets, and the iterative building screening operation is performed: ; Where: P 1 , P 2 is the judgment value; L α , L β W is the maximum length of the bottom surface of the newly built target building and the screened target building; α , W β The maximum width of the bottom surface of the newly built target building and the screened target building; Among them, based on the above formula, the judgment value is calculated for each screened target building and the newly built target building, and the judgment value P 1 , P 2 The corresponding target buildings with negative values ​​are selected as iterative buildings.

[0013] Furthermore, when screening buildings with the same purpose as the newly built target building in the iterative buildings, the screening operation is performed based on the building function type, and the compatibility stage of the newly built target building and each building with the same purpose is analyzed. The analysis logic applied is the same as the logic for obtaining G(a,b).

[0014] Furthermore, the two buildings selected based on the compatibility analysis results between the new target building and the buildings with the same use include: The building with the highest compatibility with the newly built target building among the buildings with the same purpose screened out is denoted as X; Among the buildings with the same purpose, the building with the highest compatibility with X is denoted as Y; Among them, the number of buildings selected as demolition targets is not less than two, and the number is customized by the user. The initial default number of buildings selected as demolition targets is set to two.

[0015] Furthermore, the analysis logic of the degree of adhesion between the demolition target building and its user group is expressed as follows: ; Where: the degree of adhesion between the building targeted for demolition and its user group; Select target buildings for demolition Historical daily average user visits; Demolition selection target building historical user visit frequency; To select the target building historical user leaving frequency; in, , , Customized by the user.

[0016] Furthermore, the decision logic for the final demolition of the target building is expressed as: ; Where: χ is the decision-making tendency value; f' is the demolition suitability of the target building; the degree of adhesion between the building targeted for demolition and its user group; Among them, based on the above formula, the selection decision tendency value χ of each demolition selection target building is calculated, and the demolition selection target building with the largest selection decision tendency value χ is selected as the final demolition target building.

[0017] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects: The present invention provides an artificial intelligence planning method based on urban land resource management. During the execution of the method, by setting a specified hierarchical screening logic, in the building demolition and reconstruction scenario of urban land resource management, effective recommendations are provided for demolished buildings. Compared with the manual evaluation method, the method has a higher degree of intelligence and efficiency, and has a better effect in dealing with large-scale urban land resource management work. It can provide good and reasonable recommendations for demolished buildings, and provide lower-cost demolition planning services for the development of urban land resource management work. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A flowchart of an artificial intelligence planning method based on urban land resource management. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The present invention will be further described below in conjunction with the embodiments.

[0022] Embodiment 1: An artificial intelligence planning method based on urban land resource management in this embodiment, such as Figure 1 As shown, including: Upload the boundary coordinates of the planning target area, determine the planning target area based on the boundary coordinates of the planning target area, obtain the structural parameters and construction information of each building in the planning target area, and record the obtained structural parameters and construction information of each building in the planning target area; Analyze the demolition suitability of each building based on its structural parameters and construction information, and analyze the compatibility of each building with each other based on its construction information; The logic of building demolition suitability analysis is expressed as: ; Where: f is the suitability of building demolition; Tnow is the current timestamp; T finsh The date the building was completed; T 0 is the service life of the building; S is the area occupied by the building; h is the building height; ω is the weight; Among them, the building height h is derived from the building specification parameters. The larger the building demolition suitability f is, the more suitable the corresponding building is for demolition. Conversely, the less suitable the corresponding building is for demolition. The weight ω is between 0 and 1, and the higher the building grade is, the larger the weight ω is, and vice versa. Through the above logic formula, the demolition suitability of the building is analyzed and calculated, thereby providing necessary execution data support for further execution of the method in this embodiment.

[0023] The compatibility analysis logic between buildings is expressed as follows: ; Where: G(a,b) is the compatibility of buildings a and b; S a , S b is the area occupied by the construction of buildings a and b; q a ,q b is the number of internal bays of buildings a and b; τ(a,b) is the consistency of the functional types of buildings a and b; f(●) is the adjustment function; Among them, the consistency of the functional types of buildings a and b τ(a,b) takes the value of 0 or 1. When the functional types of buildings a and b are the same, τ(a,b) takes the value of 1, otherwise, τ(a,b) takes the value of 0. The adjustment function f(●) obeys. If the numerator of the fraction in the brackets is not greater than the denominator, then f(●)=(●). If the numerator of the fraction in the brackets is greater than the denominator, then f(●)=(●) -1 ; Through the above logic formula, a specified calculation logic is provided for the compatibility between buildings, and necessary execution data support is provided for the further execution of the method in this embodiment.

[0024] Input the structural parameters and construction information of the new target building, and select iterative buildings that meet the scale of the new target building in the planned target area based on the structural parameters of the new target building; In the iterative building stage of selecting the new target buildings in the planning target area, all the buildings in the planning target area are taken as the screening targets, and the iterative building screening operation is performed: ; Where: P 1 , P 2 is the judgment value; L α , L β W is the maximum length of the bottom surface of the newly built target building and the screened target building;α , W β The maximum width of the bottom surface of the newly built target building and the screened target building; Among them, based on the above formula, the judgment value is calculated for each screened target building and the newly built target building, and the judgment value P 1 , P 2 The corresponding target buildings with negative values ​​are selected as iterative buildings;

[0025] By calculating the above logic formula, the iterative architecture obtained by executing the method in this embodiment is further screened.

[0026] In the iterative building, the buildings with the same purpose are screened again according to the building construction information, and the compatibility of the newly built target building with the buildings with the same purpose in the screened buildings is analyzed based on the construction information of the newly built target building; According to the compatibility analysis results between the new target building and other buildings with the same purpose, two buildings are selected as the demolition targets; The two buildings selected based on the compatibility analysis results between the new target building and buildings of the same use include: The building with the highest compatibility with the newly built target building among the buildings with the same purpose screened out is denoted as X; Among the buildings with the same purpose, the building with the highest compatibility with X is denoted as Y; Among them, the number of buildings selected as the target buildings for demolition is not less than two, and the number is customized by the user end. The number of buildings selected as the target buildings for demolition is initially set to two by default; Obtain the buildings selected as demolition targets, analyze the adhesion between each demolition target building and its respective user group, and decide on the final demolition target building based on the adhesion analysis results; The analysis logic of the degree of adhesion between the demolition target building and its user group is expressed as follows: ; Where: the degree of adhesion between the building targeted for demolition and its user group; Select target buildings for demolition Historical daily average user visits; Demolition selection target building historical user visit frequency; To select the target building historical user leaving frequency; in, , , Customized by the user; The decision logic for demolishing the target building is expressed as: ; Where: χ is the decision-making tendency value; f' is the demolition suitability of the target building; the degree of adhesion between the building targeted for demolition and its user group; Through the above logic formula, a decision is made on the final target building for demolition, ensuring that the final target building for demolition is output in the method, providing the urban land resource management staff who use the method with an accurate and reasonable reference for the best demolition building.

[0027] Among them, based on the above formula, the selection decision tendency value χ of each demolition selection target building is calculated, and the demolition selection target building with the largest selection decision tendency value χ is selected as the final demolition target building.

[0028] In this embodiment, through the execution of the method in the above embodiment, a new demolition building recommendation logic is provided for the current urban land resource planning work, which greatly improves the efficiency and progress of urban land resource planning work.

[0029] Embodiment 2: In terms of specific implementation, based on Example 1, this example refers to Figure 1 The following is a further detailed description of an artificial intelligence planning method based on urban land resource management in Example 1: When uploading the boundary coordinates of the planning target area, the number of uploaded coordinates shall not be less than three. In the determination stage of the planning target area, the uploaded boundary coordinates of the planning target area are captured in the electronic map containing the planning target area. After the boundary coordinates of the planning target area are captured, the boundary coordinates of the planning target area are connected adjacently to determine the planning target area. Building structure parameters refer to building specification parameters. Building construction information includes: building construction area, building construction service life, building completion date, building grade. When performing recording operations, the building structure parameters and construction information in the planning target area are synchronously distinguished and marked based on the building name.

[0030] Through the above settings, further execution data support is provided for the execution of the method in Example 1, ensuring the stable execution of the method in Example 1.

[0031] like Figure 1 As shown, when screening buildings with the same purpose as the newly built target building in the iterative building, the screening operation is performed based on the building function type, and the compatibility stage of the newly built target building and each building with the same purpose is analyzed. The analysis logic applied is the same as the logic for obtaining G(a,b).

[0032] Through the above formula, the compatibility analysis logic between the newly built target building and each building with the same purpose is further limited to ensure the stable output of the compatibility between the newly built target building and each building with the same purpose, providing parameter support for the further execution of the method in Example 1.

[0033] In summary, during the execution of the method in the above embodiment, by setting the specified hierarchical screening logic, in the building demolition and reconstruction scenario of urban land resource management, effective recommendations are provided for demolished buildings. Compared with the manual evaluation method, it is more intelligent and efficient, and has a better effect in dealing with large-scale urban land resource management work. It can provide good and reasonable recommendations for demolished buildings and provide lower-cost demolition planning services for the development of urban land resource management.

[0034] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence planning method based on urban land resource management, characterized in that: include: Upload the boundary coordinates of the planning target area, determine the planning target area based on the boundary coordinates of the planning target area, obtain the structural parameters and construction information of each building in the planning target area, and record the obtained structural parameters and construction information of each building in the planning target area; Analyze the demolition suitability of each building based on its structural parameters and construction information, and analyze the compatibility of each building with each other based on its construction information; Input the structural parameters and construction information of the new target building, and select iterative buildings that meet the scale of the new target building in the planned target area based on the structural parameters of the new target building; In the iterative building, the buildings with the same purpose are screened again according to the building construction information, and the compatibility of the newly built target building with the buildings with the same purpose in the screened buildings is analyzed based on the construction information of the newly built target building; According to the compatibility analysis results between the new target building and other buildings with the same purpose, two buildings are selected as the demolition targets; Obtain the buildings selected as demolition targets, analyze the adhesion degree between each demolition target building and its respective user group, and decide on the final demolition target building based on the adhesion degree analysis results.

2. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: When uploading the boundary coordinates of the planning target area, the number of uploaded coordinates is not less than three. In the determination stage of the planning target area, the uploaded boundary coordinates of the planning target area are captured in the electronic map containing the planning target area. After the boundary coordinates of the planning target area are captured, the boundary coordinates of the planning target area are connected adjacently to each other to determine the planning target area. The building structure parameters are building specification parameters, and the building construction information includes: building construction occupied area, building construction service life, building completion date, and building grade. When performing the recording operation, the building structure parameters and construction information in the planning target area are synchronously distinguished and marked based on the building name.

3. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: The demolition suitability analysis logic of the building is expressed as: ； Where: f is the suitability of building demolition; T now is the current timestamp; T finsh is the date of completion of the building; T0 is the useful life of the building; S is the area occupied by the building; h is the building height; ω is the weight; Among them, the building height h comes from the building specification parameters. The larger the building demolition suitability f is, the more suitable the corresponding building is for demolition. Conversely, the corresponding building is less suitable for demolition. The weight ω is between 0 and 1, and the higher the building grade is, the larger the weight ω is, and vice versa.

4. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: The compatibility analysis logic between the buildings is expressed as follows: ； Where: G(a,b) is the compatibility of buildings a and b; S a , S b is the area occupied by the construction of buildings a and b; q a ,q b is the number of internal bays of buildings a and b; τ(a,b) is the consistency of the functional types of buildings a and b; f(●) is the adjustment function; Among them, the consistency of the functional types of buildings a and b τ(a,b) takes the value of 0 or 1. When the functional types of buildings a and b are the same, τ(a,b) takes the value of 1, otherwise, τ(a,b) takes the value of 0. The adjustment function f(●) obeys. If the numerator of the fraction in the brackets is not greater than the denominator, then f(●)=(●). If the numerator of the fraction in the brackets is greater than the denominator, then f(●)=(●) -1 .

5. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: In the iterative building stage of screening the new target buildings in the planning target area, all buildings in the planning target area are taken as screening targets, and the iterative building screening operation is performed: ； Where: P1, P2 are the judgment values; L α , L β W is the maximum length of the bottom surface of the newly built target building and the screened target building; α , W β The maximum width of the bottom surface of the newly built target building and the screened target building; Among them, based on the above formula, the judgment value is calculated for each screened target building and the newly-built target building, and the corresponding screened target building whose judgment values ​​P1 and P2 are both negative is used as the iterative building.

6. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: When selecting buildings with the same purpose as the newly built target building in the iterative building, the screening operation is performed based on the building function type, and the compatibility stage of the newly built target building and each building with the same purpose is analyzed. The analysis logic applied is the same as the logic for obtaining G(a,b).

7. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: The two buildings selected based on the compatibility analysis results between the new target building and buildings of the same use include: The building with the highest compatibility with the newly built target building among the buildings with the same purpose screened out is denoted as X; Among the buildings with the same purpose, the building with the highest compatibility with X is denoted as Y; Among them, the number of buildings selected as demolition targets is not less than two, and the number is customized by the user. The initial default number of buildings selected as demolition targets is set to two.

8. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: The analysis logic of the adhesion degree between the demolition target building and its user group is expressed as follows: ； Where: the degree of adhesion between the building targeted for demolition and its user group; Select target buildings for demolition Historical daily average user visits; Demolition selection target building historical user visit frequency; To select the target building historical user leaving frequency; in, , , Customized by the user.

9. The artificial intelligence planning method based on urban land resource management according to claim 1 is characterized in that: The decision logic for the final demolition of the target building is expressed as: ； In the formula: χ is the choice decision tendency value; f' is the demolition suitability of the target building selected for demolition; the degree of adhesion between the building targeted for demolition and its user group; Among them, based on the above formula, the selection decision tendency value χ of each demolition selection target building is calculated, and the demolition selection target building with the largest selection decision tendency value χ is selected as the final demolition target building.

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