Urban street outline space form classification method and system

A technology of spatial morphology and classification method, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of high computational cost, inability to accurately reflect and quantify overall spatial characteristics, and irreversible spatial morphology classification technology paths. The effect of low computational cost, accurate prediction of space type attributes, and reversible quantification path

Active Publication Date: 2019-08-16
NANJING UNIV
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies of the prior art, the present invention provides a method for classifying urban street profile spatial forms, which can solve the problems of inability to accurately reflect and quantify the overall spatial characteristics, high calculation costs, and irreversible technical path of spatial form classification

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban street outline space form classification method and system
  • Urban street outline space form classification method and system
  • Urban street outline space form classification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0063] The present invention provides a method for classifying the spatial form of urban street outlines, refer to figure 1 As shown, it is a flow chart of the classification method in the embodiment of the present invention, including:

[0064] S100 obtains the urban building plan within a given range, and divides the space in the plan to obtain several spatial units.

[0065] In this step, the urban building plan can be obtained through the government department or other data providing platforms. There are urban building outlines in the plan, and the data format can be an operable format such as dwg format or 3dm format, which is not carried out in the embodiment of the present invention. limit. Other data providing platforms are preferably Baid...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an urban street outline space form classification method and system, and the method comprises the steps: obtaining an urban building plane graph in a given range, carrying outthe division of the space in the plane graph, and obtaining a plurality of space units; setting a measuring point at the center of gravity of the space unit to obtain distance data of a space around the measuring point; calculating an urban space morphological characteristic index corresponding to each space unit according to the distance data of the space around the measurement point so as to form an urban space morphological characteristic index summary table; and forming an urban street outline space plane shape classification graph according to the urban space shape feature index summary table. According to the invention, the existing space is quantized and defined; more importantly, the spatial plane shape category is restored based on the quantitative index, the prediction spatial type attribute and the overall spatial feature are more accurate, the calculation cost is lower, and therefore a designer is helped to better understand the spatial attribute of the design object through the quantitative index at the initial design stage, and a pre-judgment measure is further provided.

Description

technical field [0001] The invention relates to the technical field of spatial form quantification, in particular to a method and system for classifying the spatial form of urban street outlines. Background technique [0002] With the gradual maturity of urban form, the quantitative study of urban form has already become an important part of architecture. Although the traditional quantitative indicators of urban texture can calculate the corresponding index data according to the given spatial form, but based on these data, it is difficult to The purpose of restoring the original spatial form cannot be achieved, that is, the technical path is irreversible. The urban form classification method based on the quantitative urban texture index has the same problem as the "traditional quantitative urban texture index": the space cannot be restored through the index, and the technical path Irreversible, space syntax studies the systematic relationship of various components of urban f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/13G06F30/20Y02A30/60
Inventor 季惠敏丁沃沃唐莲李娟尤伟彭云龙宋仁杰
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products