In order to ensure the navigation safety in the process of ship driving and operation and accurately evaluate the practical operation skills of the crew，aiming at the problem of the lack of a complete evaluation index system for the evaluation of ship mooring operation，combining the safety evaluation of mooring operation conducted by the expert evaluation method and fuzzy comprehensive evaluation method，the membership function of each evaluation index was constructed. The analytic hierarchy process(AHP) was used to determine the suggested weight value and the standard value of each evaluation index to ensure the accuracy and reliability of the evaluation results. The three-dimensional virtual ship technology was used to develop a set of mooring maneuvering automatic evaluation systems according to the influence degree of each factor on mooring maneuvering，so as to realize the comprehensive evaluation of the ship's mooring operation. The study shows that the evaluation model has better accuracy，strong systematization，and easy to operate. The results of the system's assessment，when compared with the results of the expert assessment，showed a high degree of consistency，demonstrating the validity and reliability of the model in assessing the mooring skills of crew members.

To solve the information fusion and situation awareness issues of terminal decision-making groups in emergency rescue of major chemical fires，a fire situation awareness model for large-scale storage tanks was proposed based on the evolution characteristics of the storage tank fire situation and the multi-layer network theory. A network edge weight calculation method based on Bayesian parameter estimation was proposed by developing a chemical storage tank fire situation information set. Node importance and inter-layer correlation coefficient were used to present the connection strength of nodes within the network layer and the correlation strength between network layers，respectively. Moreover，the evolution trend of key situations within and between storage tanks was identified. Then，the evolution process of the fire emergency rescue situation in a tank was analyzed. The results indicated that the situation awareness model based on multi-layer networks can better analyze the fire situation evolution characteristics of large storage tanks. The greater the importance of the node，the faster the fire evolution of the corresponding storage tank. The stronger the correlation between layers，the more significant the evolution trend between adjacent storage tanks.

To ensure the safety of the mining ground and underground workers，residents around the industrial square，and the operation of the coal transportation system，real-time monitoring of surface deformation is carried out. An optimized method for acquiring PS points is proposed to enhance the applicability of PS-InSAR technology in settlement monitoring. Firstly，a to total of 26 Sentinel-1A satellite images during the subsidence period of the Industrial Square coal pillar II 513 working face in the Huainan suburban coal mine from October 31，2020，to August 22，2022，were selected. The PS-InSAR technology was used to determine the optimal method for selecting PS point targets. Then，based on this method，the ground subsidence rate and cumulative subsidence of the mining damage protection zone during the mining process of the working face were obtained. Finally，the accuracy of PS-InSAR monitoring was verified based on the measured data of ground leveling points，and the dynamic subsidence of the study area's ground and structures was analyzed. The results show that the dual-threshold method of coherence coefficient and amplitude dispersion index is more suitable for subsidence monitoring in the study area. The maximum detectable subsidence rate in the study area is -26.5 mm/year，and the maximum cumulative subsidence value is -53.7 mm. Additionally，geological hazards related to karst collapse were detected in the northwest of the study area. By using leveling data for accuracy verification，the root mean square error (RMSE) is only 3.8mm，and the coefficient of determination reaches 0.91.

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.

To effectively control the smoke spread in large flat-space ships，the oil pool mass loss rate，chamber temperature distribution，thermal insulation efficiency，and smoke control effect were investigated during large-scale fires. The experimental study was performed under three different smoke screen heights (0.35，0.55，and 0.70 m) and mechanical ventilation conditions in a chamber with dimensions of 30 m×24 m×2.3 m. The results indicated that the increase in smoke screen height caused a decrease in the peak value of the oil pool mass loss. The smoke screen height had a more significant impact on the smoke temperature in the chamber's upper layer than that of the lower layer. The peak temperature above 1.4 m was significantly decreased，whereas no significant change in the peak temperature below 1.4 m was observed. The average ceiling temperature and thermal insulation efficiency decreased with the increase in the smoke screen height. The thermal insulation efficiency increased from 28.2% to 50.8% under the combined smoke control mode，and it increased from 29.4% to 54.7% under the independent smoke control mode.

To prevent collision accidents caused by ships failing to take timely and effective avoidance actions due to unclear situation awareness，an emergency ship maneuvering method aimed at addressing urgent dangerous threats was proposed. Based on the data from collision accident investigation reports，the ship encounter process was reconstructed. Considering the uncertainty and randomness of the ship collision risk，a bell-shaped grey cloud model was developed to obtain PCR in real-time and reveal its temporal evolution characteristics. The Kriging spatial interpolation algorithm was used to obtain the perception and graph representation of PCR between two ships. Furthermore，an avoidance decision-making assessment index was proposed to provide emergency maneuvering methods for steering collision avoidance. The validations of the collision accident in the crossing situation indicated that steering avoidance could effectively avoid a close-quarters situation if the give-way ship had taken action by the rudder in a crossing situation and turned starboard by 112.5° before the time of closest point of approach (TCPA) was 10 min. Furthermore，if the give-way ship did not take any action，the stand-on ship should turn to starboard by 45° before the TCPA was 4 min to effectively avoid immediate danger. This study proposes a fine-grained accident data-driven emergency ship-handling method that can be implemented in conjunction with traditional radar mapping and nautical experience ship-handling methods.

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.

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.

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.

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.