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公开(公告)号:US20240394430A1
公开(公告)日:2024-11-28
申请号:US18265260
申请日:2022-12-08
Applicant: SOUTHEAST UNIVERSITY
Inventor: Xiao HAN , Zhe LI , Liya WANG , Jie LI , Qixin ZHANG , Mingjing DONG , Shuang WU , Mingchen XU , Haini CHEN , Yi SHI , Qiaochu WANG , Mengyao YU
Abstract: Disclosed are a method, an apparatus and a storage medium for measuring the quality of a built environment. The method includes the following steps: identifying key influencing factors determining environmental quality, and establishing an index system of environmental quality influencing factors, wherein the key influencing factors include non-observation elements and observation elements; analyzing the relationship between the environmental quality and the key influencing factors to form a theoretical model; acquiring observation elements to form a large sample database; calculating path coefficients of each key influencing factor of environmental quality according to the distribution of sample data in the large sample database, and converting the path coefficients into weights; dividing distribution intervals of all observation elements dynamically according to the distribution of sample data, and defining quality assignments of all observation elements; and performing an environmental quality measurement of samples in combination with the weights and the quality assignments.
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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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5.
公开(公告)号:US20240260885A1
公开(公告)日:2024-08-08
申请号:US18565501
申请日:2023-04-04
Applicant: SOUTHEAST UNIVERSITY
Inventor: Zhe LI , Liya WANG , Xiao HAN , Jie LI , Qixin ZHANG , Mingjing DONG , Mingchen XU , Shuang WU , Yi SHI , Haini CHEN , Qiaochu WANG
IPC: A61B5/378 , A61B5/0205 , A61B5/0533 , A61B5/352 , A61B5/397 , G06N20/00 , G06Q50/26 , G06V10/26 , G06V10/764 , G06V20/00
CPC classification number: A61B5/378 , A61B5/0205 , A61B5/0533 , A61B5/352 , A61B5/397 , G06N20/00 , G06V10/26 , G06V10/764 , G06V20/39 , A61B2503/12 , G06Q50/26
Abstract: A street greening quality detection method based on physiological activation recognition is provided. The street greening quality detection method includes establishing a greening quality factor index system, and obtaining and uniformly processing street greening images; collecting raw data, and performing reclassification and differential wave processing on the raw data to obtain valid physiological data that can be used for activation feature recognition of greening quality factors; calculating physiological activation feature parameters, training the physiological activation feature parameters by transfer learning fusion to determine importance of physiological activation features, and recognizing weighted average greening activation indexes of the greening quality factors; analyzing weighted average greening activation index data of the greening quality factors to form a street greening quality detection model; and inputting annotated street samples to be analyzed into the street greening quality detection model to obtain annotated results of street greening quality grading detection target data.
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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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