## 5 Discussion and Conclusions  
The research applies the \"Five-high\" risk system of major hazards to the LNG industry and constructs a microscopic \"Five-high\" risk system. On this basis, a new comprehensive model approach with ANP and a normal cloud model is proposed. The model integrates the two elements that determine the risk level of a storage tank--probability and severity--from the perspective of risk matrix analysis and constructs a two-dimensional normal cloud model to quantitatively analyze the qualitative risk elements level. In the study, \"High-risk equipment\" is the first-level element with the highest risk and most heavily weighted. This is consistent with past studies, which concluded that stress corrosion of the subsidiary piping and poor valve contact are the most significant risks leading to leaks in LNG storage tanks [10]. Similarly, the conclusion confirms reality. With the advancement of technology, and the development of the energy industry towards \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Evaluation Indicators** & **Normal Cloud Model** & **Risk Level 1** & \
\begin{tabular}{c} **Fuzzy** \\ **Comprehensive** \\ **Evaluation** \\ \end{tabular} & **Risk Level 2** &
\begin{tabular}{c} **Comprehensive** \\ **Weight \(\omega\)** \\ \end{tabular} \\ \hline High-risk locations & 0.3770 & III & 0.4291 & III & 0.038 \\ High-risk equipment & 0.7517 & IV & 0.7767 & IV & 0.529 \\ High-risk processes & 0.6974 & IV & 0.7207 & IV & 0.251 \\ High-risk personnel & 0.7115 & IV & 0.7580 & IV & 0.122 \\ High-risk substances & 0.4253 & III & 0.5043 & III & 0.075 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Comparison of risk levels of LNG tank leakage accidents between two methods. mechanization and intelligence, LNG storage areas are gradually reducing the input of manual labor and working towards achieving intrinsic safety. In this trend, the equipment, as the largest part of the LNG storage area, the possibility of accidents and the severity of consequences of the equipment are greatly increased. In recent years, LNG storage tank leaks and explosions have been more often caused by equipment failures. Therefore, \"High-risk equipment\" is considered the first-level element with the highest risk and most heavily weighted. The safety of the equipment in the storage area is particularly important, and enterprises should focus on the regular review and maintenance of the safety performance of the equipment, and on-site safety managers should strengthen the monitoring of the working condition of the equipment. The above discussion illustrates the rationality and reliability of the risk analysis model, with the example of \"High-risk equipment\". Compared with previous studies, the paper presents new approaches and contributions in the following areas:  
First, the microscopic \"Five-high\" risk system constructed in the paper is applicable to the safety analysis in other industries. Compared with traditional risk identification methods, the system incorporates elements of on-site management and can comprehensively identify all dangerous points with potential accidents from multiple perspectives. Second, the study also contributes an improved assignment method--ANP--to the risk analysis of hazardous chemical storage tanks. Most previous studies have used the AHP to determine indicator weights which is impossible to consider associations among risks. The study considers the influence of different risk elements, invites qualified experts to score, and applies the ANP model to calculate the weights. Therefore, the results are closer to the actual situation, and the accuracy and predictability of risk assessment may be improved. In fact, a complex correlation similar to the domino effect exists between risk factors of LNG tanks. Only using the Delphi method is subjective and not very comprehensive, which will be a focus of subsequent research. Third, although normal cloud models are now widely used in many fields, most studies have used one-dimensional normal cloud models.