Study On Nonlinear Intelligent Control Methods Of Environmental Impact Risks In The Subway Station Construction

Urban rail transit has developed into an indispensable part of urban transportation system and the main force of urban residents' activities.With the increase of population and the development of economy,the area of infrastructure construction is constantly expanding,the urban land is gradually reduced,and the ground resources are in short supply.The development of underground space has gradually become the focus of urban development and construction.In recent years,urban subway has developed rapidly in major cities with its advantages of less land area,less pollution,no traffic jam,convenience and speed.However,the impact of urban subway construction on the urban environment should not be ignored.The subway construction is located in the construction environment with heavy traffic and crisscrossing underground pipelines,which is very easy to cause environmental impacts and damages such as atmosphere,noise,vibration,water pollution,geology and hydrology,and surrounding buildings.Therefore,in the process of subway construction,under the premise of meeting safety requirements,environmental management should be strengthened to minimize the adverse impact of construction on the surrounding environment.This paper takes the urban subway station project as the research object,focusing on the risk identification and control analysis of its environmental impact during the construction stage.First of all,based on the analysis of the environmental impact theory of subway construction,the author consulted the literature to collect a large number of data related to similar projects,and find out the environmental influencing factors of subway station construction.By means of factor analysis,the environmental impact case data database of subway station construction is constructed to provide data support for the prediction of environmental impact risk of subway construction.Secondly,the intelligent identification and control model of subway station construction environment impact risk is constructed.Based on the database,the Rough Sets is used to reduce the engineering attributes and find the main influence characteristics.On this basis,PSO is used to screen out similar cases with proposed projects.Then,BP neural network model was used to predict the environmental impact data of the research object,so as to set the environmental management objectives.Then,it constructs the countermeasure database of environmental impact of subway construction.Combining with the principle of "Ohain's law",the paper identifies the potential risks and the emergence of subway station environmental impact,and establishes an early warning system of subway station construction environmental impact risk according to the severity of the problem.By using PDCA and statistical analysis method,the environmental management of subway station construction process is controlled dynamically.Then try to apply the computer-aided software to the environmental management of the construction process,and assist the management personnel to make management decisions on the construction process.Finally,the above model is applied to the subway construction of station S of Beijing subway to verify the feasibility and effectiveness of the model.It provides scientific management methods and solutions for the environmental management of subway construction.