In order to solve the knowledge redundancy caused by data accumulation during coal mine construction，some researches were conducted about domain knowledge management based on KG in this paper. The systematic analysis of the field of standard specification text was conducted using the safety management system structure and security risk management. 12 types of entities and 10 types of relations in the field of coal mine construction safety management were defined，and the knowledge structure model was also improved. 43 standard specifications were selected as data sources for text entity and relationship recognition by rules，dictionaries and deep learning methods. For different entity types，the framework of domain knowledge integrated approaches was proposed，and two models of bidirectional long-short-term memory(BiLSTM) and conditional random field(CRF) and bidirectional encoder representations from transformers(BERT)-BiLSTM-CRF were also compared. The accuracy，recall rate and F₁ value of the BERT-BiLSTM-CRF model are more than 7% higher than that of the BiLSTM-CRF model，which verifies the superiority of the selected model. Through knowledge extraction，knowledge storage and visualization，the entities contained in different types of entities in the field of coal mine construction safety and the relationship between different entities were investigated.

In order to study the smoke transport characteristics of rail train with lateral multi-opening and optimize the emergency response strategy for fire rescue，a rail train model was built using PyroSim software based on the engineering entity structure and numerical simulation was conducted. Focusing on the lateral opening as a connecting channel between the inside and outside of the train carriage，the influence of the lateral opening mode on the smoke transport characteristics inside the train was discussed and analyzed. The results show that the lateral opening mode has a significant effect on the smoke transport inside the train，including the smoke spreading speed and the smoke distribution in the stable stage. Compared with the disordered smoke and full coverage in the height direction in the section without opening the lateral opening，the smoke in the section with opening the lateral opening can maintain stable stratification，which is conducive to the safe evacuation and rescue of personnel. The smoke temperature distribution under the train ceiling is more consistent with the double exponential attenuation law，and is affected by the coupling of the opening mode and the fire power. The temperature attenuation rate of the opening section is more significantly affected by the fire power in the asymmetric opening. In addition，although the opening is conducive to the formation of a safe environment inside the train，it is also necessary to consider the impact of the fire smoke spilling into the outer space of the train through the opening to make a comprehensive judgment of emergency response.

In order to investigate the influence of interdependent relationships in urban infrastructure systems on urban resilience，a combination of theoretical analysis and Python simulation was used to study the resilience change process of urban interdependent infrastructure systems under perturbation. Firstly，the network of urban interdependent infrastructure was constructed based on the resilience mechanisms and multilayer network theory. Then，the cascading failure process of the urban interdependent infrastructure network after three kinds of external perturbations under the functional linkage was explored，and the resilience assessment model of the urban interdependent infrastructure network was constructed based on the infrastructure function curve method. Finally，a county in the central north of Hunan Province was taken as the research object to conduct an example study. The results show that the clustering coefficient of power nodes in the interdependent infrastructure network is significantly higher than the overall average. The communications network has the strongest resistance and recovery of the 5 types of infrastructure networks and the highest level of resilience. The reliability of the overall interdependent infrastructure network and its sub-networks gradually decreases as the probability of node failure in the network increases，and the number of network layers increases. The network efficiency recovers to a higher level in a shorter time with the betweenness recovery strategy，indicating that it is more appropriate to use the betweenness recovery strategy for this infrastructure network.

To effectively identify adverse geological conditions such as goaf，karst，and water-conducting fracture zones ahead of the tunnel face and prevent water inflow accidents during tunnel excavation，the application of shallow buried deep coil transient electromagnetic theory in tunnel advanced detection was investigated. A shallow buried deep coil advanced detection model was proposed by COMSOL software to investigate the propagation characteristics and abnormal response features of electromagnetic fields in different directions ahead of the tunnel face. The tunnel project between Jialingjiang Road Station and Xiangjiang Road Station Qingdao Metro Line 13 was used to validate the proposed model's performance in identifying abnormal responses. The results showed that the proposed model can effectively identify low-resistivity anomalies at different positions ahead of the tunnel surface. Moreover，the effect of anomalies in different azimuths on the electric field response was mainly presented in the response intensity. Transient electromagnetic field can effectively distinguish the air zone and rock zone，and the electromagnetic field attenuated faster in the high-resistance surrounding rock near the surface due to the influence of the air zone，resulting in high-resistance anomalies of the practical detection during inversion analysis.

In order to solve the problems of inaccurate failure priority ranking and excessively subjective risk evaluation in traditional FMEA，a risk evaluation method of oil and gas pipeline failure modes based on a hybrid weights-cloud model was proposed. Firstly，the failure modes and causes of oil and gas pipelines were investigated and analyzed，and the systematic FMEA mode was constructed. Then an expert evaluation opinion processing method was proposed based on the cloud model and the hybrid weight method. The game theory was introduced to reduce the subjectivity and randomness of the evaluation results. Finally，VIKOR was used to rank the risk of each failure mode. The feasibility and accuracy of this method was verified by comparing with the traditional FMEA method. The results show that the method can comprehensively assess the risk factors of pipeline sections，quantify the risk values of different pipeline sections and identify the most important failure modes of the same pipeline section，realizing the effective positioning of pipeline high-risk areas and the ranking of the risk factors of pipeline sections.

The event tree analysis(ETA) was applied to the risk propagation process of the risk event chains involved in ship collisions for the purpose of developing directed weighted complex，which was then analyzed according to the topological structure. The traditional K-shell decomposition algorithm was adaptively improved to propose the calculation approach for the absolute criticality of the nodes in the CN. The SIR model was utilized to simulate the risk propagation process within the CN，based on which the dynamic sensitivity of the nodes within CN was analyzed under different cases of infection rates and recovery rates. It is pointed out that approximately 25% of the risk events are found as relatively non-active，and the top 10 critical risk events have no relation with the direct causes of the collision accidents. The sensitivity and criticality of risk events are not consistent at all times，and some risk events would not lead to serious consequences or accidents even though countermeasures are not taken. The existence of direct causes for the collision accidents should be acknowledged for the control and management of risk involved in the ship collisions，and much attention should be paid to the risk propagation process. As a result，differential strategies should be taken during the risk management and control to prevent the ship collisions.

Aiming at the problem of competing multiple failure modes and dependent variables of corroded pipelines，and low efficiency of predicting the probability of small failures，a time-varying failure probability prediction method for corrosive pipelines based on SS method is proposed. Based on the limit state function of leakage and burst failure，considering the competition between leakage and burst failure，a prediction model for the pipeline competitive failure probability was constructed. In order to solve the above model，the Nataf transformation method was used to describe the correlation between the depth and length of the defects in the simulated samples，and a method to solve the failure probability of corroded pipelines was proposed by considering the competitiveness of failure modes and the correlation of variables. Monte Carlo Simulation (MCS) was used to verify the above method. Finally，the above method was applied to investigate the effect of the weak correlation (correlation coefficient 0-0.3) between defect depth and length on the probability of failure within 15 years of pipeline service. The results show that when the failure probability is greater than 10^-6，the calculation results of this method are basically consistent with those of MCS，and the calculation efficiency is higher than that of MCS，and the minimal probability events with the probability level of 10^-12 can be predicted. Within 15 years of pipeline service，the greater the correlation coefficient of defect variables is，the greater the probability of pipeline burst failure is，and the earlier it reaches the threshold year of burst failure probability. As the correlation coefficient increases，the smaller the probability of leakage failure is，and the later it reaches the threshold year of leakage failure probability. At the later stage of the prediction，the effect of the correlation coefficient increase on the probability of the two kinds of failures is weakened.

In order to explore the coupled evolution mechanism of air traffic operation safety risk，clarify the mechanism of coupling and mutation formation in air traffic operation systems based on a combination of the N-K model and FRAM. Firstly，textual data on unsafe incidents was collected. The risk factors involved were categorized，and their historical frequency of occurrence and the coupling relationship between risk factors were obtained. Secondly，the N-K model was used to solve the coupling degree values between air traffic operational risk factors. Finally，based on the output time and accuracy，the variability of the FRAM functional module was quantitatively evaluated，analyzing the coupling mechanism of air traffic operational safety risks，and safety risk analysis was conducted using regional area navigation(RNAV)approach unsafe events and deviation route unsafe events as examples. The results indicate that the evaluation method based on improved FRAM can quantitatively calculate the variability between functional modules in a reasonable and effective manner，weaken the dependence of traditional analysis methods on subjective consciousness，and make the analysis results more objective and scientific.

In order to improve slope stability under the combined action of engineering disturbance and natural factors，and clarify the process and characteristics of slope soil nailing under different loading conditions，the optimal support mode and layout technology suitable for the actual working conditions were selected to ensure the intrinsic safety of the slope structure system. Firstly，the physical model test process and results of soil nailing support under three types of static，vibration，and centrifugal forces were systematically elaborated. Secondly，the characteristics and applicability of typical slope support technologies and new slope support methods were compared as well as analyzed. Finally，through physical model tests under complex environmental effects，the deformation and failure mechanisms of three special slopes，namely submarine slope，typhoon rainstorm slope and high-speed and long-distance landslide were explored. The results show that soil nailing has good applicability in all kinds of slope support，but the reliability and safety factor of slope support under complex and special environments still need to be improved. Therefore，in practice，it is necessary to integrate new materials and processes to conduct research on composite support structures. At the same time，it is necessary to strengthen the selection of similar materials，innovative observation methods，and special environmental simulation research in physical model experiments，aiming to improve the high degree of restoration of monitoring data and achieve the full process safety guarantee of slope systems.

In order to further improve the basic role of emergency shelters in comprehensive disaster prevention and mitigation，a multi-dimensional evaluation index system for emergency shelters was constructed based on the resilience perspective in five aspects: safety of the place，standardization of management，accessibility to transportation，guarantee of service and reconstruction and recovery. A comprehensive evaluation model was established by combining the Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) spatial analysis. Taking the Ouhai District of Wenzhou City as an example，based on the first comprehensive natural disaster risk survey data and open source data，the disaster prevention and mitigation ability of emergency shelters in the district was comprehensively evaluated，and the scientific and effectiveness of the model was verified. The study shows that the constructed index system and comprehensive evaluation model can be used to analyze and evaluate the disaster prevention and mitigation ability of emergency shelters，the weak indicators of emergency shelters can be found，and the direction of optimization and improvement can be provided for managers. In the case analysis，the low resilience emergency shelters in Ouhai District are mainly concentrated in the western mountainous areas，and the resilience of village-level emergency shelters is relatively low，which is consistent with the actual situation，proving.