Abstract
In order to improve the construction quality detection ability of building concrete, the construction quality detection method of building concrete based on big data is put forward, and a construction quality detection model of building concrete based on feature extraction of association rules is proposed. The nonlinear time series analysis method is used to model the construction quality information flow of building concrete, and the quantitative feature information flow of construction quality of building concrete is reconstructed by quantitative regression analysis. The statistical characteristic quantity of quantitative characteristics of construction quality of building concrete is extracted by statistical feature analysis method, and the spectral density analysis and feature detection of quantitative characteristics of construction quality of building concrete are carried out in the moving average window. According to the abnormal spectrum distribution of high-order statistics, the construction quality inspection of big data building concrete is realized. The simulation results show that the accuracy of using this method to detect the construction quality of building concrete is high.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yu, M., Hong, X. (2019). Construction Quality Inspection Method of Building Concrete Based on Big Data. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_2
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DOI: https://doi.org/10.1007/978-3-030-36405-2_2
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