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

IPC: G06F30/13 ,  G06F30/27

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.

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

IPC: G06Q50/26 ,  G06K9/62 ,  G06N20/00

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.