In order to ensure the safe and efficient operation of the emergency command system of hydropower stations and improve the level of digitalization and intelligentization of emergency responses，the difficulties of traditional emergency responses of hydropower stations were analyzed. The knowledge graph technology was used to standardize the massive heterogeneous information of hydropower stations，and a standardized information base was formed. The research and application of multi-source heterogeneous information fusion technology in the process of accident responses were carried out to realize the real-time acquisition，processing，and analysis of multi-source heterogeneous information. By means of data mining，analysis and processing，fusion and application，the fault early warning model was built to accurately study the nature of the accident and fault location and automatically generate the optimal response guidance scheme，so as to guide emergency response personnel to carry out fault control，equipment isolation，and risk identification safely and efficiently. In addition，it helped deduce the effect of emergency response measures and fault development situations intelligently in the response process and dynamically optimize response measures. At the same time，by building a visual information sharing platform，the key points of accident responses and the progress of measures were displayed dynamically，and the key guidance information was pushed intelligently according to the division of duties of the personnel in the emergency command system，so as to realize the complementary interaction and cooperative command of each level of emergency response and establish an efficient，intelligent，and visual emergency command system.

In order to enhance the efficacious operation of the air traffic control system，a quantitative model was established by focusing on the individual load of controllers. Tests were designed to collect pre-service and post-service data on various indicators from 16 area controllers in the front line. Sensitive variables were selected to describe individual loads based on changes in test data. A comprehensive assessment index system was established that included three dimensions: psychological perception load，physiological reaction load，and mental workload. The controller individual load index model was developed. The optimal weights of the individual load index were determined by the the entropy-critic combination weighting method. The quantitative model of the controller's individual workload was finally derived. Further K-Means clustering analysis was performed based on the controller's individual load composite index. There were evident discrepancies in the workload changes of the controllers due to different individual postures. The results indicate that the post-post individual workload changes of the controllers could be classified into three distinct groups. The first group，comprising 50% of the total number of controllers，exhibited the smallest post-post individual workload growth. The second group，accounting for 43.75% of the total number of controllers，exhibited a moderate post-post individual workload growth. The third group，comprising 6.25% of the total number of controllers，exhibited the largest post-post individual workload increase. These findings align with the instructor's ratings of controller competence.

In order to prevent the risk of uncertainty and extreme impact brought by the black swan，the origin，transmutation and prospect of the black swan were studied in depth under the perspective of metaphor theory. Firstly，the conceptual integration theory was adopted to analyze the cognitive construction mechanism of the black swan risk metaphor from the aspects of historical flow and development trend，summarize the overall development trend of the black swan，and on the basis of this，divide the black swan into three important transmutation stages of founding，exploring development，and innovating and perfecting，so as to put forward the research dilemma and future outlook of the black swan under the background of digital intelligence empowerment. The results show that the risk metaphor meaning of black swan is a risk event with rarity，episodic，unexpected and unpredictable，and extremely negative impact; the development of the black swan risk metaphor will enter the stage of theoretical differentiation of quantitative fluctuation and change，and the direction of the research should be from generalized application to precise application，from single risk to composite risk，and from silo research to group research.

To study the performance of different airports' resilience under meteorological disasters and the causes of their differences，firstly，the definition of airport resilience based on airport functional level was put forward，which covered three sub characteristics: resistance，robustness and recovery. Then，by calculating the airport functional level under meteorological disasters through flight data，airport resilience index and sub characteristic indices were obtained to reflect the airport's resilience. Finally，taking the disaster of the snowstorm as an example，the distribution pattern of resilience index of affected airports in the United States and the reasons for the differences of resilience index among different airports were analyzed. Furthermore，the performance of the resilience index of the affected airports under the disaster of winter storms，floods，tropical storms and tornadoes was analyzed. The impact of disaster types on airport resilience index was also analyzed. The results indicate that the difference of airport resilience index is mainly caused by the resistance index. The key factors that cause the difference in airport resilience index under snowstorm disaster are throughput，aircraft fuselage maintenance plan level and engine maintenance level. The resilience index of the airport under winter storm，flood and snowstorm is basically the same. The lowest relative difference of the resilience index is 7.519% and 5.521%，while the average relative difference is 23.021% and 21.037%. The calculation method of airport resilience index proposed in this paper can accurately reflect the resilience properties of airports.

To fully identify the interaction and coupling effects between the subsystem elements in SPO mode，an improved FRAM was developed to propose a quantitative analysis model based on the risk evolution mechanism. Firstly，the fuzzy comprehensive evaluation method was used to evaluate the functional variability of system functional modules. Then，the concept of structural importance was introduced to analyze upstream and downstream coupling variability of functional modules of the computational system and determine the coupling effect mechanism between various functional elements of the system. Finally，the Monte Carlo simulation method was used to calculate the functional resonance risk index for SPO-specific scenarios，analyze potential functional resonance situations，and set effective functional barriers. The results showed that the improved functional resonance analysis method can explain the nonlinear coupling situation of SPO. The functional variability coupling change index of modules such as air traffic control and services，pilot cognitive state，and captain control was relatively high with a value of more than 2.5. In the approach and landing scenario，eight functions (e.g.，crew technical training，important meteorological information，air traffic control services，and ground information support) were prone to functional resonance. Combined with the functional resonance results，the physical，symbolic，functional，and invisible functional safety barrier measures were set to provide specific operational suggestions.

In order to reduce the occurrence of safety accidents in coal mine production，from the perspective of emotion control，based on Valence-Arousal (V-A) emotional model，combined with emotional arousal methods and physiological measurement techniques，a cognitive experiment of miners' safety behavioral competence was conducted. Attention and decision-making time under different emotional states were measured. The regression analysis was used to investigate the continuous effects of degree-of-arousal on attention and risk preference under different emotional valence. The results show that in low degree-of-arousal and positive emotions，decreasing degree-of-arousal leads to weaker attention and more risk aversion in decision making in miners. In the high degree-of-arousal and positive emotions，with the increase of degree-of-arousal，the level of attention and risk aversion of miners in decision-making first increases and then decreases，until it is lower than neutral emotions. In low degree-of-arousal and negative emotions，decreasing degree-of-arousal would make miners pay less attention and have lower risk aversion in decision-making. In the high degree-of-arousal and negative emotions，an increase in degree-of-arousal increases and then decreases the attention and risk aversion in decision making，even until they are lower than the level of neutral emotions. By contrast，in the high degree-of-arousal range，increasing degree-of-arousal in positive emotion is more likely to reduce miners' safety behavioral competence to lower than the level of neutral emotional.

Frame-rocking wall was a composite self-resetting structure that could effectively improve the seismic resistance and toughness of buildings. To fully understand the random response characteristics of structures under earthquakes，a simplified nonlinear equation for a multi-degree-of-freedom frame-rocking wall structure was constructed，and an equivalent linear dynamic equation with time-varying parameters was constructed based on the assumption of pseudo harmonic behavior in response using equivalent linearization. Further，based on the principle of random averaging，the Fokker-Planck-Kolmogorov(FPK) equation could be derived to determine the time evolution form of probability density function(PDF) for controlling the amplitude of the response，and ultimately the first-order differential equation for the time-dependent variance of the random response could be obtained. Finally，a computational model was constructed using a framework of a certain teaching building as a sample for validation. The results show that the approximate analytical method has excellent accuracy，and while ensuring the accuracy of the random response time-related variance，it can improve the efficiency of analysis compared to traditional Monte Carlo simulation(MCS) methods. In the results of non-steady ground motion power spectrum models in separable and non-separable forms，the trend of the random response variance curve is related to the form of random seismic excitation，and its segmentation points show obvious unsmooth phenomena under the action of segmented modulation of non-stationary spectra. The results under different types of random seismic excitation disturbances demonstrate the excellent applicability of this method.

To effectively optimize the shield construction parameters and achieve the goals of safety，efficiency，and energy-saving in the large-diameter slurry shield tunneling process，a hybrid intelligent algorithm combining categorical boosting (CatBoost) and decomposition was proposed based on a multi-objective evolutionary algorithm (MOEAD). The main shield construction parameters were set as the major research objects considering shield construction parameters and geological conditions，and the surface settlement，penetration rate，and tunneling-specific energy were determined as the prediction and control objectives. Moreover，the selected shield construction parameters were optimized，and a line of Wuhan rail transit was used to validate the hybrid algorithm performance. The results showed that the proposed CatBoost algorithm had great prediction performance for large-diameter slurry shields with the fitting accuracy (R²) of the three control objectives more than 0.9. The model's importance rank indicated that the total propulsion force and propulsion speed of the large-diameter slurry shield had significant influences on surface settlement，penetration，and tunneling-specific energy. The proposed CatBoost-MOEAD hybrid intelligent algorithm had an obvious optimization effect on the three control objectives，and the optimization ranges of surface settlement，penetration rate，and tunneling-specific energy reached 12.35%，7.47%，and 10.70%，respectively. Moreover，the control ranges of corresponding shield construction parameters were presented.

To investigate the source and proportion of thermal runaway heat transfer of lithium-ion batteries in confined conditions space such as aviation transportation，the 18650 lithium-ion battery (100% state of charge) with lithium cobalt oxide (LCO) as the cathode material was used. The heat transfer model of thermal runaway of lithium-ion batteries was proposed by ANSYS Fluent software. Furthermore，the pyrolysis gas generated by the first battery and its thermal runaway was used as the heat source，and the second battery was heated to thermal runaway through radiation and convection. The results showed that when 2^nd battery reached the thermal runaway temperature，the heat generated by the internal side reaction accounted for 30.01% of the total energy. The gas combustion generated by the 1^st battery thermal runaway provided energy for 2^nd battery thermal runaway，accounting for 5.64% of the total energy. When 2^nd battery reached the maximum temperature，the heat generated inside the battery accounted for 87.39%，and the energy provided by the gas combustion was 1.76%. the pyrolysis gas combustion accelerates 2^nd battery's thermal runaway，though it is a heat source，it is not a heat source. Although the combustion of pyrolysis gas accelerated the thermal runaway process of 2^nd battery，the proportion of energy provided was relatively small.

In order to solve the nonlinear problem of dynamic loss of soil around the pipe during the collapse development process of the buried pipeline，first，a numerical analysis method was used to construct a nonlinear coupling model of pipe-soil that passes through the collapse zone. Then，the model was verified based on experimental measured data and specifications. Finally，a study on the damage mechanism of buried pipelines subjected to soil collapse was carried out，and the dynamic evolution process and mechanical characteristics of buried pipeline collapse were discussed. The results show that the axial stress is the control stress，the mid-span pipe bottom is the control point，the mid-span section is the dangerous section，and excessive tensile stress is the main reason for failure of buried pipelines. It is confirmed that "pipe-soil separation" phenomenon exists. When the collapse depth reaches 48 mm，"pipe and soil separate"，as the collapse process progresses，the entire process of pipe-soil structure from the beginning of deformation to the tensile failure of buried pipeline can be divided into three stages: the top pressure stage，the transition stage and in the bottom tension stage，the collapse depth of 80 and 160 mm is the dividing point. When the collapse depth reaches 59 mm，the pipe top stress changes from valley to peak at mid-span position. When collapse depth reaches 80 mm，friction stress appears.