CN112990605B - Method and device for planning and compiling on whole flow line - Google Patents
Method and device for planning and compiling on whole flow line Download PDFInfo
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- CN112990605B CN112990605B CN202110433136.1A CN202110433136A CN112990605B CN 112990605 B CN112990605 B CN 112990605B CN 202110433136 A CN202110433136 A CN 202110433136A CN 112990605 B CN112990605 B CN 112990605B
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Abstract
The invention discloses a method and a device for planning and compiling on a whole flow line, wherein the method comprises the following steps: acquiring first city planning data from a target database, and cutting the first city planning data according to a preset area planning range to obtain corresponding second city planning data; classifying the land of the second city planning data according to a preset land classification standard, and counting according to a preset area statistical index to obtain land areas occupied by various land; acquiring an upper planning requirement, wherein the upper planning requirement comprises space coordinate information and attribute information obtained through analysis; screening first target city planning data matched with the attribute information from a target database according to a land area statistical result; screening second target city planning data matched with the space coordinate information from the first target city planning data; and formulating a planning design scheme according to the second target city planning data.
Description
Technical Field
The invention relates to the field of intelligent planning and compiling, in particular to a method and a device for planning and compiling on a whole flow line.
Background
At present, various data are collected and summarized in planning work, scheme design and planning stages. However, when the prior art processes the summarized data, a unified data processing mechanism is lacked, so that the information obtained among different project members is unequal, the problem of high communication cost is caused, and the planning and compiling efficiency is greatly reduced. In addition, in the design stage of the plan of the planning and programming project, the planning and programming project is mostly considered to be completed in an independent offline environment, mainly depends on the experience judgment of a planner, mostly focuses on qualitative analysis, and lacks a refined quantitative planning means.
Disclosure of Invention
The invention aims to solve the technical problems that the planning and compiling work under the line in the prior art mainly depends on the self experience judgment of a planner, lacks a refined quantitative planning means and has low planning and compiling efficiency, and provides a method and a device for planning and compiling on the whole flow line.
The technical scheme adopted by the invention for solving the technical problems is as follows: a method of constructing a full-flow on-line planning compilation, the method comprising:
s1, obtaining first city planning data from a target database, and cutting the first city planning data according to a preset area planning range to obtain second city planning data in the area planning range; the first city planning data comprises at least one of city land data and soil land data;
s2, classifying the second city planning data according to a preset land classification standard, and counting according to a preset area statistical index to obtain land areas occupied by various land;
s3, acquiring an upper planning requirement, wherein the upper planning requirement comprises space coordinate information and attribute information obtained through analysis;
s4, screening out first target city planning data matched with the attribute information from the second city planning data according to the land area statistical result obtained in the step S2; screening second target city planning data matched with the space coordinate information from the first target city planning data;
and S5, making a first planning design scheme according to the second target city planning data, and outputting the first planning design scheme.
An apparatus for planning compilation on a full flow line, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring first city planning data from a target database and cutting the first city planning data according to a preset area planning range to obtain second city planning data in the area planning range; the first city planning data comprises at least one of city land data and soil land data;
the first statistical module is used for classifying the land of the second city planning data according to a preset land classification standard and counting according to a preset area statistical index to obtain land areas occupied by various land;
the second acquisition module is used for acquiring an upper planning requirement, wherein the upper planning requirement comprises space coordinate information and attribute information obtained through analysis;
the first screening module is used for screening out first target city planning data matched with the attribute information from the second city planning data according to the land area statistical result calculated by the statistical module; screening second target city planning data matched with the space coordinate information from the first target city planning data;
and the first output module is used for making a first planning design scheme according to the second target city planning data and outputting the first planning design scheme.
The implementation of the method and the device for planning and compiling the whole flow line has the following beneficial effects:
the method has the advantages that collection and statistics of a large amount of scattered data are achieved based on acquisition of first city planning data from the target database, the problem that the large amount of data are scattered and difficult to collect is solved, convenience is brought to communication among project members, meanwhile, second target city planning data with matched attributes and space coordinate information are screened from the target database by combining space coordinate information and attribute information obtained by analyzing upper planning requirements, quantitative analysis of planning scheme design is achieved, the refinement level of the planning scheme is effectively improved, and planning and compiling efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of a method of on-line planning and programming in an embodiment of the invention;
FIG. 2 is a statistical diagram of the land area of urban land data;
FIG. 3 is a statistical view of land area of the land standard land data;
FIG. 4 is a statistical representation of the area occupied by a building based on the building size data;
FIG. 5 is a diagram of the total population statistics within the planning scope of the corresponding area;
FIG. 6 is a schematic of a high level plan;
FIG. 7 is a flow chart of a method of on-line planning compilation in another embodiment of the present invention;
FIG. 8 is a schematic diagram of a second plan design;
FIG. 9 is a diagram of an example circular buffer generated by buffer analysis in an embodiment of the present invention;
FIG. 10 is a system diagram of an apparatus for planning and programming a full flow line according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Please refer to fig. 1, which is a flowchart of a method for planning and compiling a whole flow line according to the present invention, and is described by taking an example that the method is applied to a computer device (the computer device may specifically be a terminal or a server, and the terminal may specifically be but not limited to various personal computers, laptops, smartphones, tablet computers, and portable wearable devices, the server may be an independent server or a server cluster composed of a plurality of servers), including the following steps:
step S102, obtaining first city planning data from a target database, and cutting the first city planning data according to a preset area planning range to obtain second city planning data in the area planning range; the first city planning data includes at least one of city-scheduled land data and soil-scheduled land data.
Specifically, the city planning data is classified according to usage rights, and may be specifically classified into "public data" and "personal data". The public data is data commonly used for city planning, is divided into 182 items in 10 categories, and is open to all designers; the "personal data" is private data that each designer has in his or her own right, is only data for certain specific items, and is open only to specific groups of people. It should be noted that the first city planning data further includes building amount and population data.
In one embodiment, the corresponding selected urban land data, soil land data, building scale data or regular population data is used as the current situation evaluation factor by the computer device. Currently, when extracting the current evaluation factor from the target database, the computer device may cut the currently selected object data according to the area planning range uploaded by the user, so as to obtain second city planning data in the area planning range.
And S104, classifying the land of the second city planning data according to a preset land classification standard, and counting according to a preset area statistical index to obtain land areas occupied by various land utilization areas respectively.
The land classification standard can be an urban land classification and planning construction land standard, a land utilization current situation classification and the like, and the land classification standard is not limited in the embodiment of the application as long as the land classification effect can be achieved.
Specifically, the first city planning data further includes building scale data and standing population data; before the step of acquiring the upper level planning requirement is executed, the method further comprises the following steps: building classification is carried out on the building scale data according to a preset building classification standard, and the land areas occupied by various buildings are calculated according to a preset area statistical index; and carrying out population quantity statistics processing according to a preset population quantity statistical index based on the standing population data to obtain the total population quantity in the area planning range.
In one embodiment, after the computer device crops the first city planning data according to a preset area planning range, the method includes:
(1) for the clipped urban land data, the area occupied by the land of the corresponding type can be counted according to the attribute of the land code (the counted result can refer to fig. 2). The "land code" is a specific code assigned to each land for distinguishing the land type, and includes, for example: r represents a residential land, A represents an administrative office land, B represents a commercial land, and the like.
(2) For the cut land data of the land rule, the area occupied by the land of the corresponding type can be counted according to the attribute of the land class name (the result obtained by counting can refer to fig. 3). Here, the "land name" refers to a specific code assigned to each land in order to distinguish land types, for example: arable land, farmland, woodland, and the like.
(3) For the cut building scale data, the area occupied by the building of the corresponding type can be counted according to the attribute of "building classification" (the result of the counting can refer to fig. 4). Here, "building classification" refers to a specific code assigned to different types of buildings in order to distinguish the types to which the buildings belong, for example: cultural buildings and military buildings, etc.
(4) For the clipped standing population data, the total population number in the planning range of the corresponding area can be counted according to the attribute of "total population" (the counted result can refer to fig. 5).
And step S106, acquiring an upper planning requirement, wherein the upper planning requirement comprises the space coordinate information and the attribute information obtained through analysis.
Specifically, the upper level planning requirement refers to a control requirement defined when a planning analysis is performed on a planning area. "upper level" refers to a controlled detail plan, which belongs to an upper level plan of a constructive detail plan; the city overall planning is a high-level planning of the controlled detailed planning, and is used for determining city properties and development ideas in the overall planning. In the controlled detailed planning, basic data and current development information are collected. When the spatial coordinate information and the attribute information are performed, it may be considered that after the analysis tool is called, the analysis tool analyzes the requirement of the upper-level planning requirement for the text description, and the obtained analysis data is obtained.
For example, referring to fig. 6, the upper level plans adopted in the embodiments of the present application include "sports facility space layout plan in wuhan city (2013 and 2020 year)", and "upgrade version of the city control rule in wuhan city center. For the "sports facility space layout planning in wuhan city (2013 and 2020)", the upper level planning requirements to be determined include "land property" and "service population". It should be noted that, on one hand, the planning requirement corresponding to the "land property" is "sports facility land", and the land requirement corresponds to the specified range of "1.5-3.0 hectare"; on the other hand, the planning requirement corresponding to the service population is 8-12 ten thousand, and the land requirement is correspondingly regulated to be in the range of 1000-2000 m. It should be noted that, for "upgrade version of city district control regulations in martial arts city", the upper-level planning requirement to be determined includes "property of land use". The planning requirement corresponding to the land property is dynamic region, and the land requirement is function improvement, industrial transformation and service upgrade.
Step S108, screening out first target city planning data matched with the attribute information from the second city planning data according to the land area statistical result obtained in the step S2; and screening out second target city planning data matched with the space coordinate information from the first target city planning data.
And step S110, a first planning design scheme is formulated according to the second target city planning data, and the first planning design scheme is output.
With reference to steps S108 to S110, it should be noted that, first, the computer device screens out the data of the land for the sports facility of 1.5 to 3 hectares from the target database according to the statistical result of the land area obtained in step S104; then, the computer device screens out the second facility land data located in the dynamic range from the screened first facility land data. And the second land use data of the second sports facility is used as second target city planning data, and the computer equipment works out a corresponding planning design scheme according to the second target city planning data.
The method for planning and compiling on the whole flow line can be simplified into two tools and four flows. Wherein, the first process mainly comprises data collection; the second process is mainly to perform the status analysis, wherein the land areas occupied by the various types of land obtained in the second process can be further understood as the status analysis report. In addition, the tools required for the first and second processes are present analysis tools, and the output from the second process is: status analysis report + upper planning requirement. The third process is a scheme design, it should be noted that the input of the third process is an upper level planning requirement, the required tools are quantitative analysis tools, and the planning design scheme is output through the third process. The fourth process is achievement convergence, that is, outputting the planning design scheme to a corresponding user or uploading the planning design scheme to a designated location or the like (this is not limited in the embodiment of the present application), and performing achievement convergence.
The method for planning and compiling on the whole flow line disclosed by the application has the following beneficial effects:
the first city planning data is acquired from the target database, so that collection and statistics of a large amount of scattered data are realized, abundant quantitative analysis tools are provided for subsequent planning scheme design, and the refinement level of the planning scheme is effectively improved by combining with the experience judgment of planning personnel.
In an embodiment, referring to fig. 7, before performing step S110, the method further includes:
and 702, when the number of the residential population in the target area range is determined to be required to be planned according to the upper planning requirement and the preset target number range, performing buffer analysis on the second target city planning data to screen third target city planning data meeting the target number range from the second target city planning data. In the invention, during buffer area analysis, a ground object body, a buffer distance and an analysis object are input, and attribute statistics of the analysis object is output in the body buffer area after the analysis is finished.
Specifically, performing buffer analysis on the second target city planning data to screen third target city planning data meeting the target quantity range from the second target city planning data, including: setting a buffer area distance of a current iteration based on the upper planning requirement, and constructing a circular buffer area in the second target city planning data by taking the buffer area distance of the current iteration as a radius and taking a preset alternative place as a center; determining the total population number in the circular buffer area range, and updating the buffer area distance by a preset superposition step length when the total population number does not meet the target number range; and when the next iteration is started, taking the updated buffer area distance as the buffer area distance of the current iteration, returning to the step of constructing the circular buffer area for iteration circulation, and outputting third target city planning data of which the total population number meets the target number range in the corresponding circulation process until a preset iteration end condition is reached.
In one embodiment, a batch of data meeting the first planning design scheme can be screened out by the computer device according to the attribute screening and the space coordinate information, but buffer analysis is required for further screening out the site selection sites meeting the target quantity range. The buffer area analysis is to use the alternative location as the center, use the buffer area distance R as the radius, generate a buffer area, and superimpose the buffer area with other data (for example, the standing population data) according to the buffer area, so as to determine whether the total population number generated in the buffer area meets the target number range, and output the total population number if the total population number meets the target number range.
Step 704, a second planning design scheme is formulated according to the third target city planning data, and the second planning design scheme is output. Fig. 8 is a schematic diagram of a final output second plan design scheme, and the embodiment of the present application is not described herein.
For example, based on the upper level planning requirement, the buffer area distance of the current iteration is set to be 1 km, the ground object body is a sports land, the analysis object is a resident population, a preset alternative place is taken as a center, and then a circular buffer area is constructed, as shown in fig. 9, and the analysis result is shown in table 1 below.
TABLE 1
Please refer to fig. 10, which is a system structure diagram of an online planning apparatus according to the present invention, the apparatus includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring first city planning data from a target database and cutting the first city planning data according to a preset area planning range to obtain second city planning data in the area planning range; the first city planning data includes at least one of city-scheduled land data and soil-scheduled land data.
And the first statistical module is used for classifying the land of the second city planning data according to a preset land classification standard and counting according to a preset area statistical index to obtain land areas occupied by various land utilization areas respectively.
And the second acquisition module is used for acquiring an upper planning requirement, wherein the upper planning requirement comprises the space coordinate information and the attribute information obtained by analysis.
The first screening module is used for screening out first target city planning data matched with the attribute information from the target database according to the land area statistical result calculated by the statistical module; and screening out second target city planning data matched with the space coordinate information from the first target city planning data.
And the first output module is used for making a first planning design scheme according to the second target city planning data and outputting the first planning design scheme.
In one embodiment, the apparatus further comprises a second statistics module and a third statistics module, the first city planning data further comprises building size data and standing population data, wherein:
and the second statistical module is used for carrying out building classification on the building scale data according to a preset building classification standard and calculating the land areas occupied by various buildings according to a preset area statistical index.
And the third statistical module is used for carrying out population quantity statistical processing according to a preset population quantity statistical index on the basis of the standing population data to obtain the total population quantity in the area planning range.
In one embodiment, the apparatus further comprises a second screening module and a second output module, wherein:
the second screening module is used for performing buffer area analysis on the second target city planning data when the number of residential population in a target area range is determined to be required to be planned according to a preset target number range based on the upper planning requirement, so that third target city planning data meeting the target number range can be screened from the second target city planning data;
and the second output module is used for making a second planning and designing scheme according to the third target city planning data and outputting the second planning and designing scheme.
In one embodiment, the second screening module is further configured to set a buffer distance of a current iteration based on the upper planning requirement, and construct a circular buffer area in the second target city planning data by taking the buffer distance of the current iteration as a radius and taking a preset candidate location as a center; determining the total population number in the circular buffer area range, and updating the buffer area distance by a preset superposition step length when the total population number does not meet the target number range; and when the next iteration is started, taking the updated buffer area distance as the buffer area distance of the current iteration, returning to the step of constructing the circular buffer area for iteration circulation, and outputting third target city planning data of which the total population number meets the target number range in the corresponding circulation process until a preset iteration end condition is reached.
In one embodiment, the apparatus further comprises a storage module, wherein:
the storage module is used for determining the data type to which the first city planning data belongs, and the data type comprises a vector, a grid, a spatialization table and a non-spatialization table; converting first city planning data with a data type as a vector into symbolic data in a symbol conversion processing mode, and performing warehousing storage on the first city planning data subjected to current symbol conversion processing through a target database; converting first city planning data with a grid data type into map data in a map conversion processing mode, and warehousing and storing the first city planning data subjected to current map conversion processing by a target database; converting first city planning data with the data type of a spatialization table into vector data in a vector conversion processing mode, and performing warehousing storage on the first city planning data subjected to current vector conversion processing through a target database; and extracting attribute information of the first city planning data of which the data type is a non-spatialization table, and storing the currently extracted attribute information in a storage mode through a target database.
The application discloses a device of online planning establishment, beneficial technological effect:
the method has the advantages that collection and statistics of a large amount of scattered data are achieved based on acquisition of first city planning data from the target database, the problem that the large amount of data are scattered and difficult to collect is solved, convenience is brought to communication among project members, meanwhile, second target city planning data with matched attributes and space coordinate information are screened from the target database by combining space coordinate information and attribute information obtained by analyzing upper planning requirements, quantitative analysis of planning scheme design is achieved, the refinement level of the planning scheme is effectively improved, and planning and compiling efficiency is greatly improved.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for planning and compiling a full flow line, the method comprising:
s1, obtaining first city planning data from a target database, and cutting the first city planning data according to a preset area planning range to obtain second city planning data in the area planning range; the first city planning data comprises at least one of city land data and soil land data;
s2, classifying the second city planning data according to a preset land classification standard, and counting according to a preset area statistical index to obtain land areas occupied by various land;
s3, acquiring an upper planning requirement, wherein the upper planning requirement comprises space coordinate information and attribute information obtained through analysis;
s4, screening out first target city planning data matched with the attribute information from the second city planning data according to the land area statistical result obtained in the step S2; screening second target city planning data matched with the space coordinate information from the first target city planning data;
and S5, making a first planning design scheme according to the second target city planning data, and outputting the first planning design scheme.
2. The method of claim 1, wherein the first city planning data further comprises building size data and population standing data; before the step of obtaining the upper level planning requirement is performed, the method further includes:
building classification is carried out on the building scale data according to a preset building classification standard, and the land areas occupied by various buildings are calculated according to a preset area statistical index;
and carrying out population quantity statistics processing according to a preset population quantity statistical index based on the standing population data to obtain the total population quantity in the area planning range.
3. The method of claim 2, wherein before performing step S5, the method further comprises:
when the number of resident population in a target area range is determined based on the upper planning requirement and planning is carried out according to a preset target number range, carrying out buffer area analysis on the second target city planning data so as to screen out third target city planning data meeting the target number range from the second target city planning data;
and formulating a second planning design scheme according to the third target city planning data, and outputting the second planning design scheme.
4. The method of claim 3, wherein the performing buffer analysis on the second target city planning data to screen out third target city planning data satisfying the target quantity range from the second target city planning data comprises:
setting a buffer area distance of a current iteration based on the upper planning requirement, and constructing a circular buffer area in the second target city planning data by taking the buffer area distance of the current iteration as a radius and taking a preset alternative place as a center;
determining the total population number in the circular buffer area range, and updating the buffer area distance by a preset superposition step length when the total population number does not meet the target number range;
and when the next iteration is started, taking the updated buffer area distance as the buffer area distance of the current iteration, returning to the step of constructing the circular buffer area for iteration circulation, and outputting third target city planning data of which the total population number meets the target number range in the corresponding circulation process until a preset iteration end condition is reached.
5. The method of claim 1, wherein prior to performing the step of obtaining first city planning data from a target database, the method further comprises:
determining a data type to which the first city planning data belongs, wherein the data type comprises a vector, a grid, a spatialization table and a non-spatialization table;
converting first city planning data with a data type as a vector into symbolic data in a symbol conversion processing mode, and performing warehousing storage on the first city planning data subjected to current symbol conversion processing through a target database;
converting first city planning data with a grid data type into map data in a map conversion processing mode, and warehousing and storing the first city planning data subjected to current map conversion processing by a target database;
converting first city planning data with the data type of a spatialization table into vector data in a vector conversion processing mode, and performing warehousing storage on the first city planning data subjected to current vector conversion processing through a target database;
and extracting attribute information of the first city planning data of which the data type is a non-spatialization table, and storing the currently extracted attribute information in a storage mode through a target database.
6. An apparatus for planning and compiling a full flow line, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring first city planning data from a target database and cutting the first city planning data according to a preset area planning range to obtain second city planning data in the area planning range; the first city planning data comprises at least one of city land data and soil land data;
the first statistical module is used for classifying the land of the second city planning data according to a preset land classification standard and counting according to a preset area statistical index to obtain land areas occupied by various land;
the second acquisition module is used for acquiring an upper planning requirement, wherein the upper planning requirement comprises space coordinate information and attribute information obtained through analysis;
the first screening module is used for screening out first target city planning data matched with the attribute information from the target database according to the land area statistical result calculated by the statistical module; screening second target city planning data matched with the space coordinate information from the first target city planning data;
and the first output module is used for making a first planning design scheme according to the second target city planning data and outputting the first planning design scheme.
7. The apparatus of claim 6, further comprising a second statistics module and a third statistics module, the first city planning data further comprising building size data and standing population data, wherein:
the second statistical module is used for carrying out building classification on the building scale data according to a preset building classification standard and calculating land areas occupied by various buildings according to a preset area statistical index;
and the third statistical module is used for carrying out population quantity statistical processing according to a preset population quantity statistical index on the basis of the standing population data to obtain the total population quantity in the area planning range.
8. The apparatus of claim 7, further comprising a second screening module and a second output module, wherein:
the second screening module is used for performing buffer area analysis on the second target city planning data when the number of residential population in a target area range is determined to be required to be planned according to a preset target number range based on the upper planning requirement, so that third target city planning data meeting the target number range can be screened from the second target city planning data;
and the second output module is used for making a second planning and designing scheme according to the third target city planning data and outputting the second planning and designing scheme.
9. The apparatus according to claim 8, wherein the second filtering module is further configured to set a buffer distance of a current iteration based on the upper planning requirement, and construct a circular buffer area in the second target city planning data by taking the buffer distance of the current iteration as a radius and taking a preset candidate location as a center; determining the total population number in the circular buffer area range, and updating the buffer area distance by a preset superposition step length when the total population number does not meet the target number range; and when the next iteration is started, taking the updated buffer area distance as the buffer area distance of the current iteration, returning to the step of constructing the circular buffer area for iteration circulation, and outputting third target city planning data of which the total population number meets the target number range in the corresponding circulation process until a preset iteration end condition is reached.
10. The apparatus of claim 6, further comprising a storage module, wherein:
the storage module is used for determining the data type to which the first city planning data belongs, and the data type comprises a vector, a grid, a spatialization table and a non-spatialization table; converting first city planning data with a data type as a vector into symbolic data in a symbol conversion processing mode, and performing warehousing storage on the first city planning data subjected to current symbol conversion processing through a target database; converting first city planning data with a grid data type into map data in a map conversion processing mode, and warehousing and storing the first city planning data subjected to current map conversion processing by a target database; converting first city planning data with the data type of a spatialization table into vector data in a vector conversion processing mode, and performing warehousing storage on the first city planning data subjected to current vector conversion processing through a target database; and extracting attribute information of the first city planning data of which the data type is a non-spatialization table, and storing the currently extracted attribute information in a storage mode through a target database.
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