Research on the application of artificial intelligence in civil engineering monitoring

Chengbo Xie

doi:10.1117/12.3006398

26 September 2023 Research on the application of artificial intelligence in civil engineering monitoring

Chengbo Xie

Proceedings Volume 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023); 127930A (2023) https://doi.org/10.1117/12.3006398
Event: International Conference on Mechatronics and Intelligent Control (ICMIC2023), 2023, Wuhan, China

Abstract

As the core basis of industrial reform in the new era, artificial intelligence can improve the development level of informatization, automation and intelligence in the field of civil engineering, and lay the foundation for the creation of a technical system with the value of The Times. In recent years, integrated research on the integration development trend between artificial intelligence and civil engineering, clear the basic research field of artificial intelligence, use visual tools to excavate the main problems and development bottlenecks of artificial intelligence in the field of civil engineering, and put forward effective research ideas and solutions, are the core issues discussed by researchers. In this paper, the process of mass concrete placement is taken as an example, several kinds of intelligent algorithms proposed in the field of artificial intelligence are compared and analyzed, and the related prediction model and measured data are constructed. The final results show that reasonable application of artificial intelligence method can provide effective basis for monitoring, forecasting and early warning in the field of civil engineering in the future.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chengbo Xie "Research on the application of artificial intelligence in civil engineering monitoring", Proc. SPIE 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023), 127930A (26 September 2023); https://doi.org/10.1117/12.3006398

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