Research on highway and bridge disease correlation analysis technology based on big data

Quanzhou Zhang; Dayang Liu; Xinhua Si; Kunlin Hang

doi:10.1117/12.2657930

22 December 2022 Research on highway and bridge disease correlation analysis technology based on big data

Quanzhou Zhang, Dayang Liu, Xinhua Si, Kunlin Hang

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 1246046 (2022) https://doi.org/10.1117/12.2657930
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

In order to promote the development of transportation industry information, the effective use of massive sample data. This paper, by using the existing mass testing data of the parts and appearance of the highway bridge disease type combined with large data analysis between the components and diseases, diseases and disease degree of support and confidence, it is concluded that the incidence of the possibility and concomitant, and by the experiences accumulated for several years, the industry experts verify its correctness and rationality of the results of the analysis. Based on article 35000, using highway bridges of more than 100 ten thousand appearance of disease detection and bridge parts and damage data as samples, correlation between disease and damage analysis and calculation, according to the analysis results to guide on-site detection, is to avoid missing diseases, find accurate diseases, and through analysis and assessment, improve the quality of detection and the informationization level.

Citation Download Citation

Quanzhou Zhang, Dayang Liu, Xinhua Si, and Kunlin Hang "Research on highway and bridge disease correlation analysis technology based on big data", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 1246046 (22 December 2022); https://doi.org/10.1117/12.2657930

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