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31 October 2022 Research on early warning of hydropower engineering construction safety accident based on SVM model
Huacheng Yang
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Proceedings Volume 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022); 124571X (2022) https://doi.org/10.1117/12.2660657
Event: Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 2022, Changchun, China
Abstract
There are special dangers in the construction of hydropower projects. Therefore, strengthening the early warning of safety accidents in the construction of hydropower projects, and doing a good job in the safety management and prevention of the construction site are important guarantees for the smooth progress of the construction of hydropower projects. Based on this, based on the SVM model, this paper establishes an early warning index system for hydropower engineering construction safety accidents, builds a hydropower engineering construction safety accident early warning model based on SVM, and discusses the practical application of the SVM-based hydropower engineering construction safety accident early warning model. Finally, it proposes the safety precautions for the construction of hydropower projects aim to provide some useful references and improve the safety management level of hydropower project construction.
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Huacheng Yang "Research on early warning of hydropower engineering construction safety accident based on SVM model", Proc. SPIE 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 124571X (31 October 2022); https://doi.org/10.1117/12.2660657
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KEYWORDS
Safety
Data modeling
Process modeling
Remote sensing
Systems engineering
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