MPSO-SPA Assessment Model for Submarine Pipeline Leakage risk Based on Dynamic PSO-HSMM

Establishing a submarine pipeline leakage risk assessment model along with a strategy matrix about maintenance methods and timely analysis of maintenance costs and risks are of great significance for the safe operation of submarine pipelines and effective reduction of losses caused by disasters. In order to solve the shortcomings of existing submarine pipeline leakage risk assessment studies, this paper discusses the MPSO-SPA assessment function equation, dynamic PSO-HSMM and the factors influencing the risk of submarine pipeline leakage. The data collection and evaluation index selection and weight establishment of the MPSO-SPA assessment model based on dynamic PSO-HSMM for submarine pipeline leakage risk are briefly discussed. Finally, the MPSO-SPA evaluation model is applied to the risk assessment of design mishandling, operation mishandling, maintenance mishandling, and construction mishandling in submarine pipeline leakage risk, and is compared with PSO-LSSVM algorithm and RNN prediction model. The experimental data show that the MPSO-SPA assessment model achieves an average accuracy of 97.95% for design mishandling and operational mishandling, and an average accuracy of 90.37% for RNN assessment. The evaluation accuracy of PSO-LSSVM reached 87.73% on average. Therefore, it is verified that the MPSO-SPA evaluation model outperforms other models and has better performance results.