CN112132729A - Intelligent city planning system - Google Patents

Intelligent city planning system Download PDF

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Publication number
CN112132729A
CN112132729A CN202011120149.5A CN202011120149A CN112132729A CN 112132729 A CN112132729 A CN 112132729A CN 202011120149 A CN202011120149 A CN 202011120149A CN 112132729 A CN112132729 A CN 112132729A
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China
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city
matching
regional
module
city planning
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CN202011120149.5A
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Chinese (zh)
Inventor
林文旭
马绅
江乾振
尹欣
张明双
杨杰
陈定涛
严利江
潘仁伟
卢裕杰
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/043—Architecture, e.g. interconnection topology based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood

Abstract

The invention discloses an intelligent city planning system, which comprises: the urban remote sensing image acquisition module is used for acquiring an urban remote sensing image set; the city layout analysis module is used for acquiring the regional matching building layout parameters of the current city based on the city remote sensing image set; the city matching statistical analysis module is used for marking the corresponding matching facility parameters for each matching building and realizing the statistical analysis of the matching facilities in the corresponding area; and the smart city planning module is used for making a current regional city planning scheme according to the regional supporting building layout parameters, the statistical analysis result of the supporting facilities in the region and the preset regional city planning standard. The invention realizes the automatic collection, statistics and analysis of the regional matching building layout parameters and the corresponding matching setting parameters thereof, and provides reliable reference opinions for the next planning of the city while obtaining the current city planning situation parameters in the first time.

Description

Intelligent city planning system
Technical Field
The invention relates to the field of urban planning, in particular to an intelligent urban planning system.
Background
At present, with the acceleration of the urbanization process and the rapid increase of population, people gradually pay attention to urban planning, but because the existing urban construction is designed based on the traditional urban planning, the traditional urban planning mostly uses urban land as a core object, and the intelligent planning of the city cannot be really and effectively realized.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent city planning system, which realizes automatic acquisition, statistics and analysis of the layout parameters of the regional supporting buildings and the corresponding supporting setting parameters thereof, and provides reliable reference opinions for the next planning of the city while obtaining the current city planning condition parameters in the first time.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent city planning system, comprising:
the urban remote sensing image acquisition module is used for acquiring an urban remote sensing image set;
the city layout analysis module is used for acquiring the regional matching building layout parameters of the current city based on the city remote sensing image set;
the city matching statistical analysis module is used for marking the corresponding matching facility parameters for each matching building and realizing the statistical analysis of the matching facilities in the corresponding area;
and the smart city planning module is used for making a current regional city planning scheme according to the regional supporting building layout parameters, the statistical analysis result of the supporting facilities in the region and the preset regional city planning standard.
Furthermore, the city layout analysis module identifies city supporting buildings carried in a city remote sensing image set based on a Dssd _ Inception _ V3_ Objects365 model, measures the shape and size of the supporting buildings based on the length-width ratio of a connected component external rectangle, draws a corresponding regional supporting building layout according to the identification result and the measurement result, draws the regional supporting building layout in the form of a map, and carries the supporting building model, the name and the corresponding floor occupation information.
Furthermore, the city matching statistical analysis module firstly mines corresponding matching facility parameters in historical city planning data based on the data mining module according to the identification result of the matching building, and then marks the mined matching facility parameters on the corresponding matching building model.
Further, the city matching statistical analysis module is used for mining matching setting parameters marked on the matching building model based on the data mining module, and then realizing statistical analysis of the regional matching facilities based on preset statistical analysis rules.
Furthermore, the smart city planning module makes a current regional city planning scheme according to the regional supporting building layout parameters, the statistical analysis results of the supporting facilities in the region and the preset regional city planning standard based on the fuzzy neural network algorithm.
Further, still include:
and the planning scheme visualization module is used for constructing a corresponding matched building model according to the formulated current regional city planning scheme, and filling the matched building model into the layout chart of the regional matched building to realize the visualization of the planning scheme.
Further, still include:
and the city planning standard reference module is used for selecting a target reference city, acquiring the matching building layout parameters of the target reference city and the statistical analysis result of corresponding matching facilities, acquiring the population layout parameters of the target city and the current city, and acquiring the revision reference opinion of the current city planning standard.
Further, still include:
and the citizen opinion acquisition module is used for acquiring the opinion of the citizen on the city planning in a mode of directionally sending the survey report through the short message editing and sending module.
The invention has the following beneficial effects:
the automatic acquisition, statistics and analysis of the layout parameters of the regional supporting buildings and the corresponding supporting setting parameters are realized, and reliable reference opinions are provided for the next planning of the city while the current city planning condition parameters can be obtained at the first time.
Drawings
Fig. 1 is a system block diagram of an intelligent city planning system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an intelligent city planning system, which is characterized in that: the method comprises the following steps:
the urban remote sensing image acquisition module is used for acquiring an urban remote sensing image set;
the city layout analysis module is used for acquiring the regional matching building layout parameters of the current city based on the city remote sensing image set;
the city matching statistical analysis module is used for marking the corresponding matching facility parameters for each matching building and realizing the statistical analysis of the matching facilities in the corresponding area;
the intelligent city planning module is used for making a current regional city planning scheme according to the regional supporting building layout parameters, the statistical analysis result of supporting facilities in the region and the preset regional city planning standard;
and the planning scheme visualization module is used for constructing a corresponding matched building model according to the formulated current regional city planning scheme, and filling the matched building model into the layout chart of the regional matched building to realize the visualization of the planning scheme.
And the city planning standard reference module is used for selecting a target reference city, acquiring the matching building layout parameters of the target reference city and the statistical analysis result of corresponding matching facilities, acquiring the population layout parameters of the target city and the current city, and acquiring the revision reference opinion of the current city planning standard.
The citizen opinion acquisition module is used for acquiring the opinion of the citizen on the city planning in a mode of directionally sending the survey report through the short message editing and sending module;
and the central processing module is used for coordinating the work of the modules.
In this embodiment, the city layout analysis module identifies city supporting buildings carried in a city remote sensing image set based on a Dssd _ inclusion _ V3_ Objects365 model, measures the shape and size of the supporting buildings based on the length-width ratio of a connected component external rectangle, draws a corresponding regional supporting building layout according to the identification result and the measurement result, draws the regional supporting building layout in the form of a map, and carries the supporting building model, the name and corresponding floor space information (including geographical location information and floor space information).
In this embodiment, the city matching statistical analysis module first mines corresponding matching facility parameters in the historical city planning data based on the data mining module according to the identification result of the matching building, and then marks the mined matching facility parameters on the corresponding matching building model.
In this embodiment, the city supporting statistical analysis module mines the supporting setting parameters marked on the supporting building model based on the data mining module, and then implements statistical analysis of the regional supporting facilities based on preset statistical analysis rules.
In this embodiment, the smart city planning module makes a current regional city planning scheme based on a fuzzy neural network algorithm according to the regional supporting building layout parameters, the statistical analysis results of the supporting facilities in the region, and the preset regional city planning standard.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (8)

1. An intelligent city planning system, its characterized in that: the method comprises the following steps:
the urban remote sensing image acquisition module is used for acquiring an urban remote sensing image set;
the city layout analysis module is used for acquiring the regional matching building layout parameters of the current city based on the city remote sensing image set;
the city matching statistical analysis module is used for marking the corresponding matching facility parameters for each matching building and realizing the statistical analysis of the matching facilities in the corresponding area;
and the smart city planning module is used for making a current regional city planning scheme according to the regional supporting building layout parameters, the statistical analysis result of the supporting facilities in the region and the preset regional city planning standard.
2. The intelligent city planning system of claim 1, wherein: the city layout analysis module identifies city supporting buildings carried in a city remote sensing image set based on a Dssd _ Inception _ V3_ Objects365 model, measures the shape and size of the supporting buildings based on the length-width ratio of a connected component external rectangle, draws a corresponding regional supporting building layout according to an identification result and a measurement result, draws the regional supporting building layout in a map form, and carries the supporting building model, the name and the corresponding floor occupation information.
3. The intelligent city planning system of claim 1, wherein: the city matching statistical analysis module firstly mines corresponding matching facility parameters in historical city planning data based on the data mining module according to the recognition result of the matching building, and then marks the mined matching facility parameters on the corresponding matching building model.
4. The intelligent city planning system of claim 1, wherein: the city matching statistical analysis module is used for mining matching setting parameters marked on the matching building model based on the data mining module and then realizing statistical analysis of the regional matching facilities based on preset statistical analysis rules.
5. The intelligent city planning system of claim 1, wherein: and the smart city planning module makes a current regional city planning scheme based on a fuzzy neural network algorithm according to the regional supporting building layout parameters, the statistical analysis result of supporting facilities in the region and a preset regional city planning standard.
6. The intelligent city planning system of claim 1, wherein: further comprising:
and the planning scheme visualization module is used for constructing a corresponding matched building model according to the formulated current regional city planning scheme, and filling the matched building model into the layout chart of the regional matched building to realize the visualization of the planning scheme.
7. The intelligent city planning system of claim 1, wherein: further comprising:
and the city planning standard reference module is used for selecting a target reference city, acquiring the matching building layout parameters of the target reference city and the statistical analysis result of corresponding matching facilities, acquiring the population layout parameters of the target city and the current city, and acquiring the revision reference opinion of the current city planning standard.
8. The intelligent city planning system of claim 1, wherein: further comprising:
and the citizen opinion acquisition module is used for acquiring the opinion of the citizen on the city planning in a mode of directionally sending the survey report through the short message editing and sending module.
CN202011120149.5A 2020-10-19 2020-10-19 Intelligent city planning system Pending CN112132729A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114065364A (en) * 2022-01-17 2022-02-18 山东省地质测绘院 Urban engineering planning method and system based on unmanned aerial vehicle remote sensing mapping
CN115358544A (en) * 2022-08-01 2022-11-18 北京清华同衡规划设计研究院有限公司 Urban intelligent infrastructure planning and designing method
WO2022241629A1 (en) * 2021-05-18 2022-11-24 南京经纬地诚土地规划咨询有限公司 Gis-based land consolidation and rehabilitation design system
CN115827805A (en) * 2022-10-27 2023-03-21 卓信通信股份有限公司 Smart city communication infrastructure planning platform

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002304641A (en) * 2001-04-06 2002-10-18 Mitsubishi Electric Corp City view display device
CN104778463A (en) * 2015-05-04 2015-07-15 福建师范大学 Remote sensing image urban area extracting method based on SIFT and multi-sub-graph matching
CN106023044A (en) * 2016-08-03 2016-10-12 西安科技大学 Ecological city planning system
CN106055771A (en) * 2016-05-27 2016-10-26 西安科技大学 Citizen interaction system for city planning
CN107016221A (en) * 2017-05-26 2017-08-04 吴志强 A kind of auxiliary design method based on city intelligent model
CN107092753A (en) * 2017-04-21 2017-08-25 上海耐相智能科技有限公司 A kind of intelligent city's planning system
CN107247938A (en) * 2017-06-08 2017-10-13 中国科学院遥感与数字地球研究所 A kind of method of high-resolution remote sensing image City Building function classification
CN108564516A (en) * 2018-05-08 2018-09-21 湖南城市学院 A kind of urban planning decision support system
CN109800316A (en) * 2019-03-06 2019-05-24 安徽省川佰科技有限公司 A kind of urban planning aided management system based on three-dimensional modeling
CN110222586A (en) * 2019-05-15 2019-09-10 清华大学 A kind of calculating of depth of building and the method for building up of urban morphology parameter database
CN111090717A (en) * 2019-12-31 2020-05-01 贵阳欧比特宇航科技有限公司 Automatic building model based on CGA rule

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002304641A (en) * 2001-04-06 2002-10-18 Mitsubishi Electric Corp City view display device
CN104778463A (en) * 2015-05-04 2015-07-15 福建师范大学 Remote sensing image urban area extracting method based on SIFT and multi-sub-graph matching
CN106055771A (en) * 2016-05-27 2016-10-26 西安科技大学 Citizen interaction system for city planning
CN106023044A (en) * 2016-08-03 2016-10-12 西安科技大学 Ecological city planning system
CN107092753A (en) * 2017-04-21 2017-08-25 上海耐相智能科技有限公司 A kind of intelligent city's planning system
CN107016221A (en) * 2017-05-26 2017-08-04 吴志强 A kind of auxiliary design method based on city intelligent model
CN107247938A (en) * 2017-06-08 2017-10-13 中国科学院遥感与数字地球研究所 A kind of method of high-resolution remote sensing image City Building function classification
CN108564516A (en) * 2018-05-08 2018-09-21 湖南城市学院 A kind of urban planning decision support system
CN109800316A (en) * 2019-03-06 2019-05-24 安徽省川佰科技有限公司 A kind of urban planning aided management system based on three-dimensional modeling
CN110222586A (en) * 2019-05-15 2019-09-10 清华大学 A kind of calculating of depth of building and the method for building up of urban morphology parameter database
CN111090717A (en) * 2019-12-31 2020-05-01 贵阳欧比特宇航科技有限公司 Automatic building model based on CGA rule

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
贺志军: "GIS在生态城市设计中的应用框架研究", 《中国优秀硕士学位论文全文数据库基础科学辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022241629A1 (en) * 2021-05-18 2022-11-24 南京经纬地诚土地规划咨询有限公司 Gis-based land consolidation and rehabilitation design system
CN114065364A (en) * 2022-01-17 2022-02-18 山东省地质测绘院 Urban engineering planning method and system based on unmanned aerial vehicle remote sensing mapping
CN115358544A (en) * 2022-08-01 2022-11-18 北京清华同衡规划设计研究院有限公司 Urban intelligent infrastructure planning and designing method
CN115358544B (en) * 2022-08-01 2023-04-07 北京清华同衡规划设计研究院有限公司 Urban intelligent infrastructure planning and designing method
CN115827805A (en) * 2022-10-27 2023-03-21 卓信通信股份有限公司 Smart city communication infrastructure planning platform

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