Dynamic Evolution Analysis of Ship’s Port State Control Inspection Based on Bayesian Networks

As the last line of defense for marine safety, Port State Control (PSC) plays an important role in improving marine safety and protecting the marine environment. In order to ensure the consistency and effectiveness of the inspection, this study uses a Bayesian Network to construct PSC examines evolutionary analysis models. Based on the data of PSC inspection in Paris MOU from 2018 to 2021, conduct research on the existing main ship types. The results show that for most ship types, the existing PSC inspection methods can guarantee the standardization of inspection, even in the face of public health emergencies; however, there are also cases of excessive attention to specific defects. Meanwhile, the sensitivity study of the model also found a significant correlation between RO performance, Inspection type and ship detention. The similar approach is also applicable to the evolution analysis of other MoU regions. In addition, the results have reference value for strengthening ship supervision and ensuring ship safety.