Application Of DCS Generation Plug-in To Multi-objective Optimization Of Urban Design Physical Environment

In recent years,China's urbanization has accelerated,and the construction of new buildings across the country has grown substantially.The density of urban buildings is getting larger and higher,and the height is getting higher and higher,which leads to the weakening of urban carrying capacity and the gradual exposure of environmental and energy issues.Among them,the urban outdoor physical environment is relatively harsh,the urban heat island is intensified,and the summer heat wave intensity is high.There are also problems in the outdoor wind environment,and the dramatic changes in wind speed caused by the high-rises are harmful to pedestrians.At the same time,due to the high-density layout of the building,the occlusion between the buildings is serious,and the quality of the sunshine environment related to human health is degraded.Faced with the above various physical environment problems,the traditional urban design method is difficult to solve comprehensively,and the traditional design process has a problem of disconnection from the simulation of the program performance.The manual operation has a low adjustment efficiency.With the rise of parametric design in the field of architecture,the performance simulation technology of the building physical environment has been continuously improved.Many scholars at home and abroad have launched performance-oriented optimization design research,but the research in this area mainly focuses on the construction unit or detail structure,and there is a lack of research on the urban design level.This study is aimed at the problem of urban outdoor wind environment,thermal environment and sunshine environment,and the lag and disconnection of physical environment performance simulation analysis in the traditional design process.It is proposed that the DCS plug-in based on the GH parameterization platform is applied to the design method of urban design generation and multi-objective optimization in the initial stage of the scheme.It is intended to improve the efficiency of urban design work while comprehensively optimizing the outdoor physical environment.This paper firstly collates and compares urban design parameterization methods and cases,and screens out urban design generation platforms.And sort out the evaluation indicators of the outdoor physical environment at home and abroad,and calculate and correlate the evaluation indicators through the GH parameterization platform.Secondly,the basic research on the multi-objective problem and solution of the physical environment,combing the relevant intelligent optimization algorithm,and selecting the optimization calculation plug-in based on the parametric design platform.Then it is integrated into a performance-oriented urban design generation and multi-objective optimization system,and the experimental performance of the system performance is tested to study the influence of different variable parameters on the optimization results of the system.Finally,combining the example projects in Liuzhou and Shenzhen,the optimization results of the system are analyzed,and the optimization schemes for different goals are provided to provide designers with different choices.