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- W4205651624 abstract "AbstractThere are all kinds of traditional dwellings reflecting different national cultures, different historical periods, and different decorative patterns in our country. These dwellings carry a large number of excellent and valuable historical and cultural heritages. Based on big data, the artistic construction and protective system design of decorative classification patterns of northeast residential buildings are conducive to better development and protection of northeast residential buildings. The purpose of this article is to study the art construction and protective system design of northeast residential decoration classification pattern based on big data. This article summarizes and categorizes the decorative patterns of the different structures of the northeast residential houses in detail, and summarizes and analyzes the decorative patterns of the brick-wood structure, the brick-concrete structure and the brick-steel structure. Based on the background of the era of big data, this paper designs the protective system of the decorative pattern art of northeast residential decoration, and puts forward suggestions for the inheritance and development of decorative patterns in artistic construction. The survey data shows that among the decorative patterns of Northeast residential buildings, the theme of the decorative patterns of plants, flowers, animals, and traditional Chinese characters are 80%, 46.43%, and 35.71%, respectively. It can be seen that the northeastern residential houses use more plants, flowers, animals, and traditional Chinese calligraphy patterns.KeywordsNortheast residentialDecorative patternsArtistic constructionResidential protection" @default.
- W4205651624 created "2022-01-26" @default.
- W4205651624 creator A5033155410 @default.
- W4205651624 date "2022-01-01" @default.
- W4205651624 modified "2023-09-23" @default.
- W4205651624 title "Art Construction and Protective System Design of Northeast Residential Decoration Classification Patterns Based on Big Data" @default.
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- W4205651624 doi "https://doi.org/10.1007/978-981-16-7469-3_5" @default.
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