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公开(公告)号:US20180046652A1
公开(公告)日:2018-02-15
申请号:US15529196
申请日:2016-05-09
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Weiting XIONG , Yi SHI
Abstract: A definition method for urban dynamic spatial structure circle comprising steps of: collecting the location data of mobile phone users for cleaning and handling to obtain a matched location data of mobile phone user; incorporating the matched location data of mobile phone user at various moments into a daily location data of mobile phone according to the date with a base station being the unit; locating spatially each base station with different users in a whole city through Tyson polygon processing method addressing the incorporated base station information; distributing the data of user number in each polygon into each land plot contained therein; obtaining mobile phone user distribution multi-circle numerical law on each moment and workday and finding the critical point of value, delineating the urban dynamic spatial structure circle distribution map after combining the circles in the same plot area.
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公开(公告)号:US20220318443A1
公开(公告)日:2022-10-06
申请号:US17614291
申请日:2020-10-28
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Daijun CHEN , Yi SHI , Xiao ZHU , Huaxing SHENG , Beixiang SHI
Abstract: The present invention discloses an artificial intelligence (AI)-based method for generating a building block in a commercial district, and relates to the field of AI urban design. According to the present invention, geographic information data of a target district and surrounding districts is acquired to construct a three-dimensional space sand table, then design conditions in various planning files and local legal regulations are translated and extracted to generate a three-dimensional building block of the district, and then a training sample library of three-dimensional contour lines of the district is constructed, a machine learning model is loaded to generate three-dimensional building heights of the district and optimize building forms, to generate a plurality of schemes for the building block of the district, and finally simulated display of the schemes and display of scheme indexes are performed by using a holographic display device, and the schemes are outputted. For the problem that a previous generation of AI technology generates a large quantity of invalid schemes, the present invention realizes the AI-based generation of a plurality of valid schemes, resolving the problem that the previous generation of AI requires a long time and large manpower to screen out a valid scheme, and improving the design efficiency for planners.
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3.
公开(公告)号:US20220309200A1
公开(公告)日:2022-09-29
申请号:US17610042
申请日:2020-10-29
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Xiao ZHU , Yi SHI , Qingyao ZHANG , Xun ZHANG , Beixiang SHI
Abstract: The present invention discloses a dynamic interactive simulation method for recognition and planning of an urban viewing corridor. The method includes: constructing a sand table of morphology data of an urban space around an urban viewing point; creating a visual sphere, calculating a blocking point set, acquiring a three-dimensional view field of the viewing point, and obtaining an effective projection plane of a sight line of the viewing point; extracting a visual three-dimensional road model, calculating projection curvatures of road centerlines at points equidistant from each other, and screening and recognizing a viewing corridor; collecting a real scene, and inputting the collected real scene to a three-dimensional interactive display platform; inputting a new planning scheme to the three-dimensional interactive display platform, and simulating an urban viewing corridor with the planning scheme superimposed; and outputting, by using augmented reality glasses, a dynamic interactive VR scene of the urban viewing corridor space after the urban planning scheme is superimposed. The present invention combines a real dynamic viewing process, and uses a three-dimensional interactive display platform for planning simulation and interactive output, thereby providing a basic rational support for further optimization and decision-making of urban planning and design.
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4.
公开(公告)号:US20220309202A1
公开(公告)日:2022-09-29
申请号:US17611740
申请日:2021-01-06
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Xiao ZHU , Yi SHI , Beixiang SHI , Jiyao CAI
Abstract: The present invention discloses an artificial intelligence (AI)-based urban design multi-plan generation method for a regulatory plot. The method includes operation steps performed by the following modules: (1) plot space calculation sand table module; (2) regulatory characteristic parameter input module; (3) characteristic case intelligent learning module; (4) plot road intelligent generation module; (5) plot landscape intelligent generation module; (6) plot architecture intelligent generation module; and (7) outputted plan auxiliary drawing module. By means of the AI-based urban design multi-plan generation method for a regulatory plot of the present invention, the planners realize real-time, accurate, and efficient feedback adjustment to a plurality of urban design plans under regulatory conditions, resolving a plurality of problems such as a long working period of a conventional design plan.
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公开(公告)号:US20210248816A1
公开(公告)日:2021-08-12
申请号:US17043580
申请日:2020-02-27
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Jun CAO , Yang CHENG , Qingyao ZHANG , Zuhao ZHOU
Abstract: The present invention discloses an embedded urban design scene emulation method and system. The method includes the following steps: constructing a status quo urban three-dimensional model scene according to collected oblique photography data; loading a three-dimensional model of urban design to a scene, and extracting geometric attributes for generation of buildings; unifying a space coordinate system of models and scenes, and automatically determining a space matching degree by taking buildings as a basic unit, and marking matched buildings with Y and mismatched buildings with N for distinction; for a region with the buildings marked with N, performing a local flattening operation in a three-dimensional model scene of oblique photography to flatten stereo data; for a region with the buildings marked with Y, performing real-time space editing in the three-dimensional model of urban design to hide the marked buildings; and opening two sets of processed space data to implement mosaic display. The present invention can conveniently embed a three-dimensional model of urban design into a status quo three-dimensional model of oblique photography for scene emulation, and provides technical and method supports for digital presentation and management of urban design achievements.
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6.
公开(公告)号:US20190087515A1
公开(公告)日:2019-03-21
申请号:US16086315
申请日:2016-05-04
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Jun CAO
CPC classification number: G06F17/5004 , G06F17/50 , G06F2217/16 , G06T17/05 , G06T2200/04 , G06T2200/08
Abstract: The present invention is a method for optimal control of an open space surrounding building form based on sky view evaluation. The method includes the following steps: vectorizing an existing planning scheme, and establishing a 3D model; classifying open spaces in the model, 360°-scanning for mean elevations, calculating and simulating sky views of a whole region, generating a 3D contour plot, and rasterizing the 3D isogram, such that each grid has an open space classification attribute and a sky view value; performing optimal adjustment of the building form on an open space surrounding region having a sky view value that is inconsistent with a corresponding preset sky view index within the range of the whole region, and bringing an adjusted scheme into the model for calculation again, till the sky view value is consistent with the corresponding preset sky view index.
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公开(公告)号:US20220309203A1
公开(公告)日:2022-09-29
申请号:US17616293
申请日:2020-10-28
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Geyang XIA , Xiao ZHU , Beixiang SHI , Zhengcheng ZHANG , Xiaofang YANG
Abstract: The present invention discloses an artificial intelligence (AI)-based automatic generation method for an urban road network. According to the method, an anchor point distribution model is constructed by means of machine learning. Anchor points are distributed within a planning range where a boundary is a secondary trunk road. A road center line layout scheme set is generated by means of rectangular expansion. A feasible scheme set is screened out based on a rule base translated from specifications related to urban planning road, a road network scheme set is further automatically generated, and finally, a scheme is outputted to a two-dimensional interaction display device for simulated display. The present invention realizes a road network design by using a combination of machine learning and rules of the urban planning field. The present invention provides a simple and efficient automatic generation method for an urban road network. By means of the present invention, a plurality of schemes can be generated within a short time, which provide an efficient and visualized reference for the design and the practice of AI urban planning.
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公开(公告)号:US20220309201A1
公开(公告)日:2022-09-29
申请号:US17611004
申请日:2020-10-28
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Dian SHAO , Beixiang SHI , Xiao ZHU , Jie GU
Abstract: The present invention discloses an artificial-intelligence (AI)-assisted method for providing an urban design form and layout with an improved wind environment. The method includes data acquisition, construction of a wind field interactive sand table, wind field simulation and evaluation of an urban design plan, AI-assisted adjustment of an urban design form and layout, determination of conformity to urban design standard specifications, wind field simulation and evaluation of an adjusted plan, and holographic display of the plan with an improved wind environment. The present invention can achieve the improvement of the wind environment in the field of urban planning design, and adjust the urban form and layout by performing random dotting on a building based on the random algorithm. Therefore, the wind environment in the urban design is improved more efficiently by means of accurate quantification, and the quality of the urban design plan is more desirable.
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9.
公开(公告)号:US20210217117A1
公开(公告)日:2021-07-15
申请号:US16963506
申请日:2020-01-14
Applicant: SOUTHEAST UNIVERSITY
Inventor: Junyan YANG , Dian SHAO , Qiao WANG , Zhicheng LIU
Abstract: An automatic urban land identification system integrating business big data with building forms, including a data acquiring and inputting module, a database construction module, a machine learning training module, an automatic identification module, and a data outputting module. The system automatically identifies an urban land by extracting a data distribution feature of an urban business site and a multi-dimensional form feature of an urban spatial three-dimensional entity. The system can be used for the determining of land usage of an urban plot in the field of urban planning and design, to achieve efficient and automatic refined identification of land usages of cities of different scales based on an artificial intelligence system, providing an efficient and convenient surveying and mapping approach and reference for surveying and mapping of the current urban construction land, and effectively saving time costs of manual surveying and mapping.
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