CN107146026B - Space planning land difference automatic coordination method - Google Patents

Space planning land difference automatic coordination method Download PDF

Info

Publication number
CN107146026B
CN107146026B CN201710321905.2A CN201710321905A CN107146026B CN 107146026 B CN107146026 B CN 107146026B CN 201710321905 A CN201710321905 A CN 201710321905A CN 107146026 B CN107146026 B CN 107146026B
Authority
CN
China
Prior art keywords
difference
land
space
coordination
space planning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710321905.2A
Other languages
Chinese (zh)
Other versions
CN107146026A (en
Inventor
王芙蓉
郑晓华
吴掠桅
崔蓓
沈洁
黄宇
毛燕翎
孙玉婷
林小虎
林洋
王之永
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Urban Planning & Research Center
Original Assignee
Nanjing Urban Planning & Research Center
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Urban Planning & Research Center filed Critical Nanjing Urban Planning & Research Center
Priority to CN201710321905.2A priority Critical patent/CN107146026B/en
Publication of CN107146026A publication Critical patent/CN107146026A/en
Application granted granted Critical
Publication of CN107146026B publication Critical patent/CN107146026B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an automatic coordination method for space planning land use difference, which comprises the following steps: vectorizing a map for space planning, and spatially dividing the whole city into different plots, wherein attributes such as land use property and the like of the related planning on each plot; superposing two or more than two vectorized maps for space planning to form a map with fused information; meanwhile, forming a difference judgment rule and a difference coordination rule according to a fixed format for a difference judgment method and a coordination method among maps for different space planning; according to the difference judgment rule and the difference coordination rule, judging each plot in the information fusion map respectively, determining attributes such as difference types, difference codes and land use properties, and associating the attributes to the plots; and finally, forming a map for urban space planning with eliminated differences according to the property attributes of the land. The method can improve the efficiency of the space planning difference coordination work and ensure the coordination accuracy.

Description

Space planning land difference automatic coordination method
Technical Field
The invention relates to an automatic coordination method for a space planning land difference, and belongs to the field of geographic information technology.
Background
In recent years, "all-in-one" has become a hot topic. A key link of the multiple planning and integration is the coordination of the differences of space planning of the departments of land occupation, planning, environmental protection, modification and the like, so that the coordination and the consistency of the space planning on the land occupation are realized. At present, the main method for coordinating the difference of the space planning land is as follows: based on the GIS technology, various space plans are subjected to space superposition and comparison, and planners interpret each land parcel with difference according to own experience, give corresponding coordination opinions, and finally form a blueprint which eliminates the difference and is unified by the various space plans.
In the existing methods or systems, only methods for bill of material, DWG format drawings and the like are available in the aspect of difference automated comparison, and only methods for software data resources, server structures and the like are available in the aspect of difference automated processing. The map for space planning needs to be expressed from two aspects of attributes such as space position, land property and the like, and the existing comparison mode cannot adapt to difference comparison and coordination under the space and attribute combined expression mode, or only can search the difference existing in the contents of two drawings, cannot carry out difference comparison on the space position, cannot carry out subsequent difference coordination, and is not suitable for use.
The space analysis capability of the GIS provides powerful support for automatic coordination of the difference of the map for space planning to a great extent, but some defects still exist, which are mainly expressed as follows: due to various and complex actual conditions and various space planning differences, the processing methods are different; moreover, in a city, the number of plots with differences is often as high as hundreds of thousands, and even if the space analysis capability of the GIS is used as support, a planner still needs to perform a large amount of interpretation work aiming at different situations, so that on one hand, the workload is huge, and the efficiency is difficult to improve; on the other hand, since the interpretation process is an empirical operation, the situation of misjudgment or inconsistent interpretation before and after the misjudgment is difficult to avoid.
Disclosure of Invention
The invention provides an automatic coordination method for the difference of the space planning land, which aims to solve the problems, mainly realizes the automation of the difference coordination of the space planning land, lightens the workload of planners on difference interpretation, improves the efficiency of coordination work, ensures the accuracy of coordination to a certain extent and reduces interpretation errors.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a space planning land difference automatic coordination method specifically comprises the following steps:
(1) vectorization treatment: vectorizing a map for space planning; in space, dividing the whole city space into different plots according to the existing map data; in the aspect of attributes, the land use property information of each land parcel is taken as the attributes and is related to the corresponding land parcel; finally forming vectorized map data for space planning;
(2) data overlay
Performing space superposition on two or more than two space planning maps subjected to vectorization processing to form a map with fused information; specifically, the treatment is divided into two cases: 1) on the same spatial position, if the boundaries of two plots from different spatial plans are completely overlapped, reserving plot spatial information, and associating all attribute information related to the two plots to polygons corresponding to the plots; 2) if the boundaries of the two plots are not completely overlapped, overlapping polygons corresponding to the two plots to form an overlapped part and a non-overlapped part in space, and processing the overlapped part according to the operation of the step 1); for the non-overlapped part, associating corresponding attributes according to the land parcel to which the non-overlapped part belongs before being overlapped, and iteratively performing the operation of the step 2);
(3) establishing a space planning land use difference rule base
According to a difference judgment method and a coordination method of different space plans for the land property of a certain land, respectively forming two types of rules of a difference judgment rule and a difference coordination rule according to a fixed format, wherein the difference judgment rule is used for judging the difference category of the land, and the difference coordination rule is used for determining the final land property of the land; uniformly organizing and storing the rules in a relational database in a data table mode to form a space planning land use difference rule base;
(4) automatic interpretation
In the information fusion graph formed by the processing of the step (2), difference judgment and difference coordination are respectively carried out on each land parcel, and the specific process is as follows: for each plot in the information fusion map, circularly searching the space planning land use difference rule base formed in the step (3) according to the attribute information associated with the plot, and determining the difference type and the difference code of the plot according to the condition of the difference judgment rule; determining the property of the land parcel according to the condition of the difference coordination rule; finally, the difference type, the difference code and the land use property of the land parcel are taken as attributes and are associated to the polygon corresponding to the land parcel;
(5) generation from maps
Deleting the associated attribute fields of the automatically interpreted information fusion graph formed in the step (4), and only keeping the difference type, the difference code and the land use property; and forming a map for urban space planning with eliminated differences according to the land property information.
The invention realizes the automation of difference judgment and coordination for space planning, relieves the burden of planning personnel in the space planning and compiling processes such as 'multi-rule-in-one' and the like, relieves the planning personnel from heavy and simple repeated comparison and coordination processes, puts more energy on the method for determining the difference judgment and coordination, and improves the efficiency and the accuracy of difference comparison.
The invention has the following characteristics:
(1) the land difference rule base for space planning provided by the invention formats specific rules of difference judgment and coordination in the space planning process, is not only convenient for storage and reading of a computer, but also can be used as an expert base in the field, reduces the randomness of related planning work, and improves the convenience of data collection;
(2) the method can realize automatic interpretation and coordination based on the rule base, not only can be used for difference comparison of maps for space planning, but also can be used for planning comparison analysis on any space basis, such as potential analysis of urban areas, strength zoning and the like, and the accuracy of similar work is improved.
Drawings
FIG. 1 is a flow chart of an automatic coordination method for space planning land use differences according to the present invention;
FIG. 2 is a schematic diagram of data fusion in the case of completely overlapping parcel boundaries according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of data fusion in the case of incomplete overlapping of parcel boundaries according to an embodiment of the present invention;
FIG. 4 is a flow chart of automatic interpretation in an embodiment of the present invention.
Detailed Description
In this embodiment, a specific implementation manner of the method of the present invention is described by taking the difference coordination between two specific space plans (hereinafter referred to as "two-kind plan") of a land utilization general plan (hereinafter referred to as "soil-kind plan") of the national and soil department and a city general plan (hereinafter referred to as "city-kind plan") of the city planning department as an example, and combining with the accompanying drawings.
The method for automatically coordinating the space planning land use difference comprises 5 steps of vectorization processing, data superposition, building a space planning land use difference rule base, automatic interpretation and map generation, and the specific implementation flow is shown in figure 1:
(1) vectoring process
Vectorization processing is respectively carried out on a construction land control area map in the soil gauge and a planning map in the city gauge, and the processing process is as follows:
1) in space, dividing the whole city space into different plots according to land use boundaries on two drawings respectively, wherein each plot is represented by a planar polygon, and the polygons must be closed and do not overlap with each other;
2) in the aspect of attributes, the 'control area type' and 'control area type code' in the soil gauge, and the 'land property' and 'land code' in the city gauge are taken as key attributes and are respectively associated to polygons of land blocks corresponding to the two gauges; meanwhile, according to the requirement of automatic interpretation, the attributes of the soil gauge, such as the current land property, the current land code, the current land property and the current land code of the city gauge, and the like are also associated to the corresponding polygon.
And after the above processing, forming vectorized land data for soil regulation and land data for city regulation respectively.
(2) Data overlay
The method is characterized in that the data of land for land regulation and the data of land for city regulation are subjected to space superposition (UNION), and the specific processing method comprises the following steps: on the same spatial position, assuming that corresponding plots in the soil gauge and the city gauge are respectively A and B, respectively operating under the following two conditions:
1) if the boundaries of A and B are completely overlapped, keeping the polygon corresponding to the A parcel and attribute information such as 'regulated area type', 'regulated area type code', 'present land property', 'present land code', etc., and associating the attributes such as 'land property', 'used land code', 'present land property', 'present land code' on the B parcel to the polygon, as shown in FIG. 2;
2) if the boundaries of A and B do not completely overlap, the polygons corresponding to A and B are superimposed to form spatially overlapping and non-overlapping portions, respectively. The overlapped part is processed according to the operation 1); the non-overlapping part associates corresponding attributes according to the land parcel to which the non-overlapping part belongs before cutting, as shown in fig. 3, and iterates the operation of 2).
The information is fused to form a graph, the polygon is unique in the same space in the whole city range, and the attributes are simultaneously associated with the information of the land parcels corresponding to the two specifications.
(3) Establishing a space planning land use difference rule base
For example, the method for determining the difference between maps for planning different spaces in a certain plot and the method for coordinating the difference are specifically as follows: the land property of the land rule is a region for conditional construction, the land property of the city rule is an industrial land, and the current land property of the land is a traffic facility land, so that the land is larger than the soil rule, the soil rule is adjusted to be an allowable construction region, the city rule is not adjusted, and the final land property of the land is determined to be a construction land. According to the land use property of the land, two types of rules of a difference judgment rule and a difference coordination rule are respectively formed according to the fixed format of < condition 1, condition 2, … …, conclusion 1 and conclusion 2 >:
1) rule of difference determination
Conditions are as follows: the land property of the land is the region for conditional construction, the code of the land is 020, the land property of the city land is the industrial land, and the code of the city land is M
And (4) conclusion: setting difference codes corresponding to the difference types, wherein the difference types are soil-regulated non-construction land and city-regulated construction land
2) Rules of coordination of differences
Conditions are as follows: the difference type is soil-regulated non-construction land and city-regulated construction land, the difference code set in the rule 1), the property of the city-regulated current land is the land for traffic facilities, and the code of the city-regulated current land is S
And (4) conclusion: setting the land property as construction land and corresponding land code
In the above rules, the land code of the land rule is shown in the general planning database standard for land utilization of villages (towns) (the national common people's republic of China land management industry standard TD/T1028/2010); the urban land code is shown in the urban land classification and planning construction land standard (national standard GB 50137-2011); the difference code and the place code may be any number or letter. And uniformly organizing and storing the rules by adopting a relational data table to form a space planning land use difference rule base. As shown in tables 1 and 2:
table 1 difference determination rule table
Figure BDA0001290045360000051
TABLE 2 Difference coordination rules Table
Figure BDA0001290045360000052
(4) Automatic interpretation
The automatic interpretation flow is shown in fig. 4:
1) starting interpretation;
2) reading the land blocks in the two-specification information fusion graph, and if the reading result is empty, executing the step 6); if the reading result is not null, acquiring attribute information corresponding to the parcel;
3) reading the rules in the difference judgment rule base, and if the reading result is empty, executing the step 5); if the reading result is not null, comparing the attribute information of the land parcel with the rule: if so, associating the conclusion in the rule, namely the difference type and the difference code, to the land parcel; if not, repeating the step 3);
4) reading the rules in the difference coordination rule base, and if the reading result is empty, executing the step 5); if the reading result is not null, comparing the difference type, the difference code and the attribute information of the land parcel with the rule: if the geographic information is consistent with the geographic information, the conclusion in the rule, namely the geographic property and the right-of-way code, is associated to the land parcel; if not, repeating the step 4);
5) step 1) is executed, and the next plot is interpreted;
6) and (5) finishing interpretation.
(5) Generation from maps
And (4) deleting the associated attribute fields such as 'soil standard land property', 'soil standard land code', 'city standard land property', 'city standard land code', 'city standard current land property', 'city standard current land code' and the like on all the land blocks from the automatically interpreted information fusion map formed in the step (4), and only keeping 'difference type', 'difference code' and 'land property' and the land code to form the two-specification map with the difference eliminated.

Claims (1)

1. A space planning land difference automatic coordination method is characterized by comprising the following steps:
(1) vectorization treatment: vectorizing a map for space planning; in space, dividing the whole city space into different plots according to the existing map data; in the aspect of attributes, the land use property information of each land parcel is taken as the attributes and is related to the corresponding land parcel; finally forming vectorized map data for space planning;
(2) data overlay
Performing space superposition on two or more than two space planning maps subjected to vectorization processing to form a map with fused information; specifically, the treatment is divided into two cases: 1) on the same spatial position, if the boundaries of two plots from different spatial plans are completely overlapped, reserving plot spatial information, and associating all attribute information related to the two plots to polygons corresponding to the plots; 2) if the boundaries of the two plots are not completely overlapped, overlapping polygons corresponding to the two plots to form an overlapped part and a non-overlapped part in space, and processing the overlapped part according to the operation of the step 1); for the non-overlapped part, associating corresponding attributes according to the land parcel to which the non-overlapped part belongs before being overlapped, and iteratively performing the operation of the step 2);
(3) establishing a space planning land use difference rule base
According to a difference judgment method and a coordination method for the land property of a certain land parcel by different space plans, respectively forming two types of rules of a difference judgment rule and a difference coordination rule according to a fixed format of < condition 1, condition 2, … …, conclusion 1 and conclusion 2>, wherein the difference judgment rule is used for judging the difference category of the land parcel, and the difference coordination rule is used for determining the final land property of the land parcel; uniformly organizing and storing the rules in a relational database in a data table mode to form a space planning land use difference rule base;
(4) automatic interpretation
In the information fusion graph formed by the processing of the step (2), difference judgment and difference coordination are respectively carried out on each land parcel, and the specific process is as follows: for each plot in the information fusion map, circularly searching the space planning land use difference rule base formed in the step (3) according to the attribute information associated with the plot, and determining the difference type and the difference code of the plot according to the condition of the difference judgment rule; determining the property of land use according to the condition of the difference coordination rule; finally, the difference type, the difference code and the land use property of the land parcel are taken as attributes and are associated to the polygon corresponding to the land parcel;
(5) generation from maps
Deleting the associated attribute fields of the automatically interpreted information fusion graph formed in the step (4), and only keeping the difference type, the difference code and the land use property; and forming a map for urban space planning with eliminated differences according to the land property information.
CN201710321905.2A 2017-05-09 2017-05-09 Space planning land difference automatic coordination method Active CN107146026B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710321905.2A CN107146026B (en) 2017-05-09 2017-05-09 Space planning land difference automatic coordination method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710321905.2A CN107146026B (en) 2017-05-09 2017-05-09 Space planning land difference automatic coordination method

Publications (2)

Publication Number Publication Date
CN107146026A CN107146026A (en) 2017-09-08
CN107146026B true CN107146026B (en) 2020-05-19

Family

ID=59777341

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710321905.2A Active CN107146026B (en) 2017-05-09 2017-05-09 Space planning land difference automatic coordination method

Country Status (1)

Country Link
CN (1) CN107146026B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107909245B (en) * 2017-10-24 2021-11-26 星际空间(天津)科技发展有限公司 Method for manufacturing land used for storage
CN107730133B (en) * 2017-10-25 2018-09-21 哈尔滨工业大学 A kind of energy landscape planing method
CN109034730A (en) * 2018-07-02 2018-12-18 武汉珞珈德毅科技股份有限公司 A kind of layout data measures and procedures for the examination and approval, system, terminal device and storage medium
CN109978416B (en) * 2019-04-18 2021-07-02 广州市城市规划勘测设计研究院 Method and device for processing difference of non-construction land, storage medium and terminal equipment
CN112085357B (en) * 2020-08-27 2021-06-04 东南大学 System and method for recognizing and processing important points of conflict of plot planning conditions
CN112287058B (en) * 2020-11-05 2021-06-15 重庆市规划和自然资源信息中心 Working method for intelligently detecting land red line through cloud computing

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101901244A (en) * 2010-01-07 2010-12-01 深圳市勘察测绘院有限公司 Geological geographic information system processing method
CN105279301A (en) * 2015-05-29 2016-01-27 南京市城市规划编制研究中心 Customizable-output plan design method
CN105354267A (en) * 2015-10-23 2016-02-24 广州绘宇智能勘测科技有限公司 Method for realizing ''more rules one'' electronic approval of multi-type planning scheme
CN106021342A (en) * 2016-05-09 2016-10-12 东南大学 A city space growth ring map making and analyzing method
KR101686845B1 (en) * 2016-09-19 2016-12-16 주식회사 정도유아이티 Land Suitability Assessment System Using the Extracted Assessment Destination to Provide a Basis for Urban Planning Including the Park Plan
CN106408202A (en) * 2016-09-29 2017-02-15 山东建筑大学 Integrated usefulness assessment method for key infrastructure in clustered towns

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101901244A (en) * 2010-01-07 2010-12-01 深圳市勘察测绘院有限公司 Geological geographic information system processing method
CN105279301A (en) * 2015-05-29 2016-01-27 南京市城市规划编制研究中心 Customizable-output plan design method
CN105354267A (en) * 2015-10-23 2016-02-24 广州绘宇智能勘测科技有限公司 Method for realizing ''more rules one'' electronic approval of multi-type planning scheme
CN106021342A (en) * 2016-05-09 2016-10-12 东南大学 A city space growth ring map making and analyzing method
KR101686845B1 (en) * 2016-09-19 2016-12-16 주식회사 정도유아이티 Land Suitability Assessment System Using the Extracted Assessment Destination to Provide a Basis for Urban Planning Including the Park Plan
CN106408202A (en) * 2016-09-29 2017-02-15 山东建筑大学 Integrated usefulness assessment method for key infrastructure in clustered towns

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
城市空间规划的"多规合一"与协调机;朱江;《上海城市管理》;20160725;全文 *
市(县)域"多规合一"实质及其工作重点研究——以富平县为例;程永辉;《中国优秀硕士学位论文全文数据库》;20170415;全文 *
面向规划管理的空间信息移动服务平台建设;陈踊 等;《测绘科学》;20131231;第38卷(第6期);全文 *

Also Published As

Publication number Publication date
CN107146026A (en) 2017-09-08

Similar Documents

Publication Publication Date Title
CN107146026B (en) Space planning land difference automatic coordination method
Irizarry et al. Optimizing location of tower cranes on construction sites through GIS and BIM integration
Prasad et al. A typical manufacturing plant layout design using CRAFT algorithm
CN103617295A (en) Method and device for processing geographic information vector data
CN106156280A (en) Order method for sorting based on GIS map and order sorting system
CN106033460A (en) Address data processing method and apparatus
CN101908165A (en) Geographic information system (GIS)-based industrial cluster information integration service system and method
CN104091005B (en) A kind of Overhead Line Project measures indoor and field integration system
CN105976313A (en) Method and system for transforming CAD plane coordinate system to Baidu map coordinate system
Musarat et al. Digital transformation of the construction industry: a review
Lei et al. Optimal spatial data matching for conflation: A network flow‐based approach
CN113361786A (en) Intelligent planning method for power line fusing multi-source multi-dimensional heterogeneous big data
CN112598373A (en) Method for intelligent processing of land parcel and automatic batch generation after net area calculation
Karabegovic et al. Integration and interoperability of spatial data in spatial decision support system environment
US20150154567A1 (en) Facility management system using perspective definition metadata and method therefor
Du et al. Ontology-Based Information Integration and Decision Making in Prefabricated Construction Component Supply Chain.
Zhaoguo et al. Traditional village protection based on big data under the impact of covid-19
CN110688439A (en) Method for automatically identifying and analyzing enterprise information based on regional geocoding
CN111708770A (en) Multisource heterogeneous stock real estate cadastre data arrangement system
Kalaf et al. Building archaeology geodatabase in Iraq using GIS
Pendyala Development of GIS-based conflation tools for data integration and matching
Hanif et al. A single non-obnoxious facility location selection for utility stores corporation using center of gravity and P-median methods
Hoare et al. Development of a national scale digital twin for domestic building stock.
CN105260796A (en) Large scale industrial meta-heuristic multi-addressing system
Cho et al. Tagging-the-triangle algorithm for partitioning features with inconsistent boundaries

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant