Attitude prediction of shield machine based on BO-CatBoost

Xinyi Li; Tiemei Zeng; Tiejun Li; Yawei Qin

doi:10.1117/12.3009570

16 October 2023 Attitude prediction of shield machine based on BO-CatBoost

Xinyi Li, Tiemei Zeng, Tiejun Li, Yawei Qin

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128030O (2023) https://doi.org/10.1117/12.3009570
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

To effectively control the shield attitude to avoid excessive influence on the tunnel caused by forward deformation, serpentine shape, axis deviation and correction, it is necessary to effectively control the shield attitude. Based on BO-CatBoost machine learning algorithm, an intelligent prediction framework for shield construction propulsion attitude is proposed to maintain construction safety and quality. 23 factors affecting the shield attitude are selected as input variables. The CatBoost hyperparameters are optimized by Bayesian optimization (BO) algorithm and the importance of the influencing factors is evaluated by BO-CatBoost. And the attitude prediction model is established. The applicability and effectiveness of this method are verified by an engineering example: (1) The BO-CatBoost model has an excellent prediction effect for shield attitude. The goodness of fit 𝑅² is all above 0.9, and the values of 𝑅𝑀𝑆𝐸 and 𝑀𝐴𝐸 are small. (2) The BO-CatBoost algorithm can effectively identify important construction parameters and provide guarantee for the safety control of shield construction.

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

Citation Download Citation

Xinyi Li, Tiemei Zeng, Tiejun Li, and Yawei Qin "Attitude prediction of shield machine based on BO-CatBoost", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128030O (16 October 2023); https://doi.org/10.1117/12.3009570

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