Automated Design Method of Environmental Art Design Scheme Based on Big Data Analysis

Abstract

Customers’ requirements for environmental art design are constantly improving, which undoubtedly brings greater challenges to environmental art designers. There are many excellent environmental design schemes around. If we can develop new design schemes according to existing excellent schemes, it will greatly reduce the workload of designers, and at the same time, it will bring excellent practical experience to customers. In view of the above problems, this paper proposes an automatic design method of environmental art design based on large data analysis. By describing the environmental design works with text, and then according to the input statements (i.e. the description of the desired works), using the generation of confrontation network and sorting algorithm to obtain the best match with the existing environmental design schemes, thus completing the automatic design of environmental art design schemes. Through the simulation of existing environmental design cases such as gardens, residential buildings, entertainment cities and office buildings, the results show that the proportion of the method in this paper meets the requirements of customers reaches 95.1%.