Design of engineering risk warning and control and real time warning system based on genetic algorithm

Jie Li; Duanhong Guo; Kun Wang

doi:10.1117/12.3030791

16 May 2024 Design of engineering risk warning and control and real time warning system based on genetic algorithm

Jie Li, Duanhong Guo, Kun Wang

Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131600B (2024) https://doi.org/10.1117/12.3030791
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China

Abstract

This paper aims to discuss and design an engineering risk early warning, prevention, and control system based on genetic algorithm (GA), with a specific focus on its application in water resources and civil engineering project management. By incorporating the flexibility and global search capabilities of GA, the system is designed to accurately capture and monitor complex risk relationships in water resources and civil engineering projects in real time. In terms of system design, it utilizes adaptive algorithms for optimal parameter adjustment, enabling the system to adeptly handle the complexities and variabilities inherent in these types of projects. The real-time monitoring mechanism ensures prompt detection and response to changes in engineering risks, thus enhancing the timeliness and accuracy of warnings. Additionally, the paper compares the performance of this GA-based system with systems based on the BP neural network (BPNN). The results demonstrate that the GA-based system is more effective in handling high-dimensional, nonlinear, and dynamic risk factors, providing an innovative approach to risk management in project management and offering decision-makers a more scientific and reliable basis for decision-making

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie Li, Duanhong Guo, and Kun Wang "Design of engineering risk warning and control and real time warning system based on genetic algorithm", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131600B (16 May 2024); https://doi.org/10.1117/12.3030791

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