An Approach on the Evaluation of LNG Tank Container Transportation Safety
As a clean energy source, liquefied natural gas (LNG) has been widely accepted all around the world. As a way to transport LNG, tank container transportation is becoming more and more popular. However, how to carry out safety management for the whole transportation process of tank container is a problem troubling the whole industry. Therefore, this paper proposes a model based on the Recurrent Neural Networks(RNN) to evaluate the safety performance. First, find the factors affecting the safety of LNG transport by sea and construct an index system. Next, design a questionnaire and get scores from supporting experts. Then, this paper utilize the trained RNN to judge the safety statue of LNG tank transportation. Through the comparison of training results and the final score got from experts, the result shows that the MAE is negligible and prove the effectiveness of the RNN. Finally, a case study was conducted. From the analysis of the training results, it is known that enterprise safety management plays an important role in transportation safety and a better safety management system will greatly reduce the probability of accidents and improve the transportation safety.
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