CN114663602A - City design live-action three-dimensional mapping system based on big data - Google Patents
City design live-action three-dimensional mapping system based on big data Download PDFInfo
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Abstract
The invention relates to the technical field of urban design, which is used for solving the problem that the conventional urban design surveying and mapping system cannot analyze the planning rationality according to the urban planning requirement, in particular to a big data-based urban design real-scene three-dimensional surveying and mapping system which comprises a design management platform, wherein the design management platform is in communication connection with a surveying and mapping module, a model construction module, a planning and analyzing module, a house distribution module and a storage module; the system comprises a surveying and mapping module, a model building module and a data processing module, wherein the surveying and mapping module is used for acquiring basic data of city design, the basic data consists of two kinds of information of plane position and elevation data, and the model building module is used for building a three-dimensional model of a city according to the basic data acquired by the surveying and mapping module to obtain a city design model; the invention can detect and analyze the technical and artistic quality of the city planning, and replans the double-ordinary object when the double-ordinary object is unqualified, thereby realizing the purpose of optimizing the existing planning scheme.
Description
Technical Field
The invention relates to the technical field of urban design, in particular to a real-scene three-dimensional mapping system for urban design based on big data.
Background
The city planning is to standardize city development construction, study future development of cities, reasonable city layout and comprehensive arrangement of various city engineering construction, is a blueprint of city development in a certain period, is an important component part of city management, is a basis of city construction and management, and is also a premise in three stages of city planning, city construction and city operation.
The existing city design live-action three-dimensional mapping system cannot analyze the planning rationality according to the city planning requirement, so that the completed planning scheme cannot be optimized, and meanwhile, the resource distribution analysis cannot be carried out.
In view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a city design real-scene three-dimensional mapping system based on big data in order to solve the problem that the existing city design mapping system can not analyze the planning reasonability according to the city planning requirement.
The purpose of the invention can be realized by the following technical scheme: a city design real scene three-dimensional mapping system based on big data comprises a design management platform, wherein the design management platform is in communication connection with a mapping module, a model construction module, a planning analysis module, a residence distribution module and a storage module;
the mapping module is used for acquiring basic data of city design, and the basic data consists of two kinds of information, namely plane position data and elevation data;
the model construction module is used for constructing a three-dimensional model of the city according to the basic data acquired by the mapping module to obtain a city design model;
the planning analysis module is used for detecting and analyzing the technical and artistic properties of the urban planning through the urban design model and judging whether the urban planning is qualified or not through the detection and analysis result;
the residence distribution module is used for carrying out residence area distribution on the detection objects which finish the technical and artistic detection.
Further, the specific process of detecting and analyzing the urban planning technology by the planning analysis module includes: dividing the city design model into detection objects i, i =1, 2, …, n, n is a positive integer, and acquiring land data, road data and public data of the detection objects i; obtaining a technical coefficient JSi of the detection object i by performing numerical calculation on land data, road data and public data of the detection object i; and acquiring a technical threshold JSMin through a storage module, comparing the technical coefficient JSi of the detection object i with the technical threshold JSMin, and marking the detection object as a technical object or a technical object according to a comparison result.
Further, the land data of the detection object i is the total land occupation area value of the detection object i: the road data of the detection object i is a total road occupied area value of the detection object i; the public data of the detection object i is a total area value occupied by public facilities of the detection object i; public facilities include public administration facilities, public information facilities, public health facilities, public sports facilities, public culture facilities, and public transportation facilities.
Further, if the technical coefficient JSi is less than or equal to the technical threshold JSmin, determining that the planning technical performance of the detection object is unqualified, and marking the corresponding detection object as a technical object; and if the technical coefficient JSi is greater than the technical threshold JSMin, judging that the planning technical performance of the corresponding detection object is qualified, and marking the corresponding detection object as the technical object.
Further, the specific process of detecting the artistry of the city plan by the plan analysis module comprises the following steps: acquiring park data and square data of a detection object i, wherein the park data of the detection object i is a total floor area value of all parks in the detection object i; the square data of the detection object i is the floor area total value of all squares in the detection object i; obtaining an artistic coefficient YSi of the detection object i by carrying out numerical calculation on the park data, the square data and the land data of the detection object i; the method comprises the steps of obtaining an art threshold value YSmin through a storage module, comparing an art coefficient YSi of a detection object i with the art threshold value YSmin, and marking the detection object as an art object or an art object according to a comparison result.
Further, if the artistic coefficient YSi is less than or equal to the artistic threshold YSmin, judging that the planning artistry of the detection object is unqualified, and marking the corresponding detection object as an artistic general object; and if the artistic coefficient YSi is larger than the artistic threshold value YSmin, judging that the planning artistry of the detection object is qualified, and marking the corresponding detection object as an artistic object.
Further, the specific process of judging whether the city plan is qualified by the plan analysis module comprises the following steps: marking detection objects which are both technical objects and artistic objects as technical objects; marking a detection object which is a popular object and an artistic object as a double popular object; marking the number of the technical objects as m, marking the ratio of m to n as a planning qualified ratio, acquiring a planning qualified threshold through a storage module, and comparing the planning qualified ratio with the planning qualified threshold: if the planning qualification ratio is less than or equal to the planning qualification threshold, judging that the urban planning is unqualified, sending a re-planning signal to the design management platform by the planning analysis module, and re-planning the bipopular object after receiving the re-planning signal by the design management platform; and if the planning qualification ratio is larger than the planning qualification threshold, judging that the city planning is qualified, and sending a planning qualification signal to the design management platform by the planning analysis module.
Further, the specific process of the home allocation module for performing home area allocation on the detection object which completes the technical and artistic detection comprises the following steps: acquiring a technical coefficient JSi and an artistic coefficient YSi of the detection object i, and obtaining a livable coefficient YJi of the detection object i by carrying out numerical calculation on the technical coefficient JSi and the artistic coefficient YSi; establishing a livable set { YJ1, YJ2, … and YJn } for the livable coefficient YJi of the detection object i, performing variance calculation on the livable set to obtain a resource distribution coefficient ZF, acquiring a resource distribution threshold value ZFMax through a storage module, and comparing the resource distribution coefficient ZF with the resource distribution threshold value ZFMax: if the resource distribution coefficient ZF is larger than or equal to the resource distribution threshold value ZFMax, judging that the resource distribution of the urban planning is unreasonable, and sending a redistribution signal to the design management platform by the residential distribution module; and if the resource distribution coefficient ZF is smaller than the resource distribution threshold value ZFMax, judging that the resource distribution of the urban planning is reasonable, and performing population division on each detection object i.
Further, the process of the residential distribution module for performing population classification on the detection object i comprises the following steps: marking the sum of the livable coefficient YJi of the detection object i as a livable performance value, marking the ratio of the livable coefficient YJi and the livable performance value of the detection object i as a distribution coefficient of the detection object i, marking the product of the distribution coefficient of the detection object i and the city population as the distribution population of the detection object i, and carrying out residential housing planning according to the distribution population of the detection object i.
Further, the working method of the city design real-scene three-dimensional mapping system based on the big data comprises the following steps:
the method comprises the following steps: acquiring basic data of city design through a mapping module;
step two: building a three-dimensional model of the city through a model building module according to the basic data obtained by the mapping module to obtain a city design model;
step three: the planning analysis module detects and analyzes the technical and artistic quality of the city planning through the city design model to obtain a bipopular object and a technical object, and replans the bipopular object when the city planning is unqualified;
step four: after the technical and artistic detection of the detection objects is completed, the rationality of urban resource distribution is analyzed through a residence distribution module, and population distribution is performed on each detection object when the rationality of the resource distribution is qualified.
Compared with the prior art, the invention has the beneficial effects that:
1. can carry out the testing analysis to city planning's technical and artistry through planning analysis module, whether technical testing can satisfy the consumer demand to city planning and carry out the analysis, whether artistry detects and can satisfy the entertainment demand to city planning and carry out the analysis, plan rationality analysis and distinguish the detected object through the analysis result from many angles, judge whether qualified city planning is judged through the ratio size of skill object quantity and total number, plan again two ordinary objects when unqualified, thereby realize having the purpose that planning scheme optimizes, improve city planning scheme's rationality.
2. The housing distribution module can analyze the artistry and the technicality of the detection object to obtain the livable coefficient, so that the degree of the detection object suitable for housing is judged, the higher the livable coefficient of the detection object is, the more the housing population is contained in the plan, population distribution is carried out according to resource distribution on the basis of the existing planning scheme, the purpose of area average of resource distribution by people is achieved, and the rationality of urban resource distribution is improved.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a planning and analysis module according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Urban planning is based on the premise of eye development, scientific demonstration and expert decision, and is used for planning the development of urban economic structures, spatial structures and social structures, and the urban district planning is often included. The city management system has the important function of guiding and standardizing city construction, is the early work of city comprehensive management and is a tap of city management. The complex system characteristics of cities determine that city planning is a complex continuous decision-making process which is continuously adjusted, continuously revised, continuously improved and perfected along with the development and the operation condition of the cities.
Example one
Referring to fig. 1, the city design real-scene three-dimensional mapping system based on big data comprises a design management platform, wherein the design management platform is in communication connection with a mapping module, a model construction module, a planning analysis module, a residence distribution module and a storage module.
The mapping module is used for acquiring basic data of urban design, the basic data is composed of two kinds of information of plane position and elevation data, the data acquisition method comprises the steps of directly measuring in the field by using instruments such as a GPS (global positioning system), a total station and the like, acquiring from aerial image remote sensing images and existing topographic maps, acquiring by using a digital photogrammetry system and the like, the selection of the method depends on the feasibility of source data acquisition, the resolution ratio of DEM (digital elevation model), the precision requirement, the data size, the technical conditions and the like, the DLG acquisition method comprises full-field digital mapping, existing drawing vectorization, generation by using a full-digital photogrammetry system and the like, and the digital orthographic image (DOM) is acquired by using a full-digital photogrammetry method.
The model building module is used for building a three-dimensional model of the city according to the basic data acquired by the mapping module to obtain a city design model, the three-dimensional model is represented by a polygon of an object and is usually displayed by a computer or other video equipment, the displayed object can be an entity of the real world or a fictional object, and any physical natural object can be represented by the three-dimensional model.
Referring to fig. 2, the planning analysis module is used for detecting and analyzing the technical and artistic characteristics of the city planning through the city design model: dividing the city design model into detection objects i, wherein i =1, 2, …, n is a positive integer, and acquiring land data TDi, road data DLi and public data GGi of the detection objects i; the land data TDi of the detection object i is the total land occupation area value of the detection object i: the road data DLi of the detection object i is a total road occupied area value of the detection object i; detecting common data of object iA total area value occupied by the public facilities for the detection object i; the public facilities comprise public administration facilities, public information facilities, public health facilities, public sports facilities, public culture facilities and public transportation facilities; by the formula
Obtaining a technical coefficient JSi of the detection object i, wherein the technical coefficient is a numerical value reflecting that the detection object meets the technical degree of planning, the higher the numerical value of the technical coefficient is, the higher the planning rationality is, the detection object meets the technical requirement of planning in the future, and the more alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 3 is greater than alpha 2 and greater than alpha 1; acquiring a technical threshold JSMin through a storage module, and comparing a technical coefficient JSi of the detection object i with the technical threshold JSMin: if the technical coefficient JSi is less than or equal to the technical threshold JSMin, judging that the planning technology of the detection object is unqualified, and marking the corresponding detection object as a technical object; if the technical coefficient JSi is greater than the technical threshold JSmin, judging that the planning technical performance of the corresponding detection object is qualified, and marking the corresponding detection object as a technical object; performing artistic detection on a detection object i: acquiring park data GYi and square data GCi of a detection object i, wherein the park data GYi of the detection object i is a total floor area value of all parks in the detection object i; the square data GCi of the detection object i is the total floor area value of all squares in the detection object i; by the formula
Obtaining an artistic coefficient YSi of the detection object i, wherein the artistic coefficient is a numerical value reflecting that the detection object meets the artistic degree of the plan, and the higher the numerical value of the artistic coefficient is, the more the detection object meets the artistic requirement of the plan, and the higher the planning rationality is; wherein beta 1, beta 2 and beta 3 are proportionality coefficients, and beta 3 is more than beta 2 and more than beta 1 and more than 1; obtaining an art threshold value YSmin through a storage module, and comparing the art coefficient YSi of the detection object i with the art threshold value YSmin: if the artistic coefficient YSi is less than or equal to the artistic threshold value YSmin, determining that the planning artistry of the detected object is unqualified, and detecting the corresponding objectThe object is marked as an art general object; if the artistic coefficient YSi is larger than the artistic threshold value YSmin, judging that the planning artistry of the detection object is qualified, and marking the corresponding detection object as an artistic object; the detection objects which are technical objects and artistic objects are marked as technical objects, and the number of the technical objects represents the overall reasonable degree of the urban planning; marking the detection objects which are not only popular objects but also popular art objects as double popular objects, and under the condition that the city planning is not reasonable as a whole, replanning the double popular objects preferentially; marking the number of the technical objects as m, marking the ratio of m to n as a planning qualified ratio, acquiring a planning qualified threshold through a storage module, and comparing the planning qualified ratio with the planning qualified threshold: if the planning qualification ratio is less than or equal to the planning qualification threshold, judging that the urban planning is unqualified, sending a re-planning signal to the design management platform by the planning analysis module, and re-planning the bipopular object after receiving the re-planning signal by the design management platform; if the planning qualification ratio is larger than the planning qualification threshold, judging that the city planning is qualified, and sending a planning qualification signal to the design management platform by the planning analysis module; the technical and artistic performance of the city planning are detected and analyzed, whether the city planning meets the civil demand or not can be analyzed through technical detection, whether the entertainment demand is met or not can be analyzed through artistic performance detection, planning reasonability analysis is carried out from multiple angles, detection objects are distinguished through analysis results, whether the city planning is qualified or not is judged through the ratio of the number of technical objects to the total number, the double-ordinary objects are re-planned when the urban planning is unqualified, the purpose of optimizing the existing planning scheme is achieved, and the reasonability of the urban planning scheme is improved.
The residence distribution module is used for carrying out residence area distribution on detection objects which finish technical and artistic detection: acquiring technical coefficient JSi and artistic coefficient YSi of the detection object i, and calculating the technical coefficient and the artistic coefficient by formula
Obtaining a livable coefficient YJi of the detection object i, wherein gamma 1 and gamma 2 are proportional coefficients, and gamma 1 is more than gamma 2 and more than 1; livable coefficient YJi for detection object iEstablishing a livable set { YJ1, YJ2, … and YJn }, calculating the variance of the livable set to obtain a resource distribution coefficient ZF, obtaining a resource distribution threshold value ZFMax through a storage module, and comparing the resource distribution coefficient ZF with the resource distribution threshold value ZFMax: if the resource distribution coefficient ZF is larger than or equal to the resource distribution threshold value ZFMax, judging that the resource distribution of the urban planning is unreasonable, and sending a redistribution signal to the design management platform by the residential distribution module; if the resource distribution coefficient ZF is smaller than the resource distribution threshold value ZFMax, judging that the resource distribution of the urban planning is reasonable, and performing population division on each detection object i: marking the sum of the livable coefficient YJi of the detection object i as a livable performance value, marking the ratio of the livable coefficient YJi of the detection object i to the livable performance value as a distribution coefficient of the detection object i, marking the product of the distribution coefficient of the detection object i and the city total population as the distribution population of the detection object i, carrying out residential housing planning according to the distribution population of the detection object i, analyzing the artistry and the technicality of the detection object to obtain the livable coefficient, and thus judging the living degree of the detection object, wherein the higher the livable coefficient of the detection object is, the more the population is accommodated in the plan, carrying out population distribution according to resource distribution on the basis of the existing planning scheme, realizing the purpose of area average of the distributed resources by people, and improving the reasonability of city resource distribution.
Example two
Referring to fig. 3, a working method of a city real-scene three-dimensional mapping system based on big data in an embodiment includes the following steps:
the method comprises the following steps: acquiring basic data of city design through a surveying and mapping module, wherein the basic data consists of two kinds of information of plane position and elevation data;
step two: building a three-dimensional model of the city through a model building module according to the basic data acquired by the surveying and mapping module to obtain a city design model;
step three: the planning analysis module is used for detecting and analyzing the technical and artistic quality of the city planning through a city design model, the technical detection can be used for analyzing whether the city planning meets the civil demand or not, the artistic quality detection can be used for analyzing whether the city planning meets the entertainment demand or not, planning rationality analysis is carried out from multiple angles, detection objects are distinguished through analysis results, whether the city planning is qualified or not is judged according to the ratio of the number of technical objects to the total number, and the double-ordinary objects are re-planned when the city planning is unqualified;
step four: after the detection objects finish the technical and artistic detection, the residential distribution module is used for analyzing the urban resource distribution rationality, population distribution is carried out on each detection object when the resource distribution rationality is qualified, the detection object with higher livability coefficient has more resident population, population distribution is carried out according to the resource distribution on the basis of the existing planning scheme, the purpose of area average of per-capita resource distribution is realized, and the rationality of urban resource distribution is improved;
the formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula (la)
(ii) a Collecting multiple groups of sample data and setting corresponding technical coefficient for each group of sample data by technicians in the field; substituting the set technical coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 2.02, 2.68 and 3.57;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the technical coefficient preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relationship between the parameter and the quantized value is not affected, for example, the technical coefficient is proportional to the value of the public data.
When the system is used, basic data of city design is acquired through a surveying and mapping module; building a three-dimensional model of the city through a model building module according to the basic data acquired by the surveying and mapping module to obtain a city design model; the planning analysis module detects and analyzes the technical and artistic quality of the city planning through the city design model to obtain a bipopular object and a technical object, and replans the bipopular object when the city planning is unqualified; after the technical and artistic detection of the detection objects is completed, the rationality of urban resource distribution is analyzed through a residence distribution module, and population distribution is performed on each detection object when the rationality of the resource distribution is qualified.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. A city design real-scene three-dimensional mapping system based on big data comprises a design management platform, and is characterized in that the design management platform is in communication connection with a mapping module, a model construction module, a planning analysis module, a house distribution module and a storage module;
the mapping module is used for acquiring basic data of the city design, and the basic data consists of two kinds of information, namely plane position data and elevation data;
the model construction module is used for constructing a three-dimensional model of the city according to the basic data acquired by the mapping module to obtain a city design model;
the planning analysis module is used for detecting and analyzing the technical and artistic properties of the urban planning through the urban design model and judging whether the urban planning is qualified or not through the detection and analysis result;
the residence distribution module is used for carrying out residence area distribution on the detection objects which finish the technical and artistic detection.
2. The system according to claim 1, wherein the specific process of the plan analysis module for detecting and analyzing the technical characteristics of the city plan comprises: dividing the city design model into detection objects i, i =1, 2, …, n, n is a positive integer, and acquiring land data, road data and public data of the detection objects i; obtaining a technical coefficient JSi of the detection object i by performing numerical calculation on land data, road data and public data of the detection object i; and obtaining a technical threshold JSMin through a storage module, comparing the technical coefficient JSi of the detection object i with the technical threshold JSMin, and marking the detection object as a technical object or a technical object according to the comparison result.
3. The city design live-action three-dimensional mapping system based on big data as claimed in claim 2, wherein the land data of the detection object i is the total land occupation area value of the detection object i: the road data of the detection object i is a total road occupied area value of the detection object i; the public data of the detection object i is a total area value occupied by public facilities of the detection object i; public facilities include public administration facilities, public information facilities, public health facilities, public sports facilities, public culture facilities, and public transportation facilities.
4. The city design real-scene three-dimensional mapping system based on big data according to claim 2, characterized in that if the technical coefficient JSi is less than or equal to the technical threshold JSmin, it is determined that the planning technical performance of the detection object is not qualified, and the corresponding detection object is marked as a technical object; and if the technical coefficient JSi is greater than the technical threshold JSMin, judging that the planning technical performance of the corresponding detection object is qualified, and marking the corresponding detection object as the technical object.
5. The system of claim 2, wherein the specific process of detecting the artistry of the city plan by the plan analysis module comprises: acquiring park data and square data of a detection object i, wherein the park data of the detection object i is a total floor area value of all parks in the detection object i; the square data of the detection object i is the floor area total value of all squares in the detection object i; obtaining an artistic coefficient YSi of the detection object i by carrying out numerical calculation on the park data, the square data and the land data of the detection object i; the method comprises the steps of obtaining an art threshold value YSmin through a storage module, comparing an art coefficient YSi of a detection object i with the art threshold value YSmin, and marking the detection object as an art object or an art object according to a comparison result.
6. The system according to claim 5, wherein if the artistic coefficient YSi is less than or equal to an artistic threshold YSmin, the planning artistry of the detected object is determined to be unqualified, and the corresponding detected object is marked as an artistic ordinary object; if the artistic coefficient YSi is larger than the artistic threshold YSmin, the planning artistry of the detection object is judged to be qualified, and the corresponding detection object is marked as an artistic object.
7. The system of claim 2, wherein the specific process of the plan analysis module for determining whether the city plan is qualified comprises: marking detection objects which are both technical objects and artistic objects as technical objects; marking a detection object which is a popular object and an artistic object as a double popular object; marking the number of the technical objects as m, marking the ratio of m to n as a planning qualified ratio, acquiring a planning qualified threshold through a storage module, and comparing the planning qualified ratio with the planning qualified threshold: if the planning qualification ratio is less than or equal to the planning qualification threshold, judging that the urban planning is unqualified, sending a re-planning signal to the design management platform by the planning analysis module, and re-planning the bipopular object after receiving the re-planning signal by the design management platform; and if the planning qualification ratio is greater than the planning qualification threshold, judging that the city planning is qualified, and sending a planning qualification signal to the design management platform by the planning analysis module.
8. The system according to claim 7, wherein the specific process of the residence allocation module for performing residence area allocation on the detection object for performing technical and artistic detection comprises: acquiring a technical coefficient JSi and an artistic coefficient YSi of the detection object i, and obtaining a livable coefficient YJi of the detection object i by carrying out numerical calculation on the technical coefficient JSi and the artistic coefficient YSi; establishing a livable set { YJ1, YJ2, … and YJn } for the livable coefficient YJi of the detection object i, performing variance calculation on the livable set to obtain a resource distribution coefficient ZF, acquiring a resource distribution threshold value ZFMax through a storage module, and comparing the resource distribution coefficient ZF with the resource distribution threshold value ZFMax: if the resource distribution coefficient ZF is larger than or equal to the resource distribution threshold value ZFMax, judging that the resource distribution of the urban planning is unreasonable, and sending a redistribution signal to the design management platform by the residential distribution module; and if the resource distribution coefficient ZF is smaller than the resource distribution threshold value ZFMax, judging that the resource distribution of the urban planning is reasonable, and performing population division on each detection object i.
9. The system of claim 8, wherein the residential distribution module performs population division on the detected object i, and comprises: marking the sum of the livable coefficient YJi of the detection object i as a livable performance value, marking the ratio of the livable coefficient YJi and the livable performance value of the detection object i as a distribution coefficient of the detection object i, marking the product of the distribution coefficient of the detection object i and the city population as the distribution population of the detection object i, and carrying out residential housing planning according to the distribution population of the detection object i.
10. The city design reality three-dimensional mapping system based on big data according to any one of claims 1-9, characterized in that the working method of the city design reality three-dimensional mapping system based on big data comprises the following steps:
the method comprises the following steps: acquiring basic data of city design through a mapping module;
step two: building a three-dimensional model of the city through a model building module according to the basic data acquired by the surveying and mapping module to obtain a city design model;
step three: the planning analysis module detects and analyzes the technical and artistic quality of the city planning through the city design model to obtain a bipopular object and a technical object, and replans the bipopular object when the city planning is unqualified;
step four: after the technical and artistic detection of the detection objects is completed, the rationality of urban resource distribution is analyzed through a residence distribution module, and population distribution is performed on each detection object when the rationality of the resource distribution is qualified.
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| CN202210559233.XA CN114663602A (en) | 2022-05-23 | 2022-05-23 | City design live-action three-dimensional mapping system based on big data |
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