Aiming at the problem of large deformation and failure of soft rock roadway in deep coal seam roof，taking the belt transport roadway in No.Wu2 mining area of No.3 horizontal plane in No.6 Mine of Pingdingshan Coal Group as the engineering background，the failure mechanism and control countermeasures of surrounding rock in intercalated coal seam roadway were studied. Firstly，the combined arch mechanical model of the original scheme of belt was constructed，and the stability discriminant of the straight wall semi-circular arch roadway was derived. Secondly，the joint repair technology of "anchor cable-beam-grouting-composite mortar anchor cable" was proposed，that was，the roadway was expanded along the roof of No.Wu8 coal seam，and the basic support of the roadway was completed by anchor cable and ladder beam. The deep and shallow hole grouting of surrounding rock was used for reinforcement support，and the composite mortar anchor cables were arranged at the key parts of the roof and the two sides to strengthen the roadway support. The distribution characteristics of stress and displacement field before and after roadway repair were analyzed by numerical simulation. Finally，the industrial test of the roadway was carried out. The monitoring results of mine pressure show that the maximum convergence of the two sides and the roof and floor are 93 mm and 112 mm respectively，and the deformation rate of the surrounding rock of the roadway is less than 1 mm/d in the later stage. The deformation has been effectively controlled and the repairing effect is good.

In order to explore the innovative work safety control model empowered by information technology and intelligent technology，this study analyzed the characteristics of information flow in the safety control process from a perspective of safety informatics，and proposed a multi-level edge intelligent management and control mode. Based on SI-SB system safety model，the principles of safety decision lag and deviation in the safety management and control process were analyzed，and the idea of improving the performance of safety management and control system was proposed. Combined with the characteristics of safety organization management systems and the advantages of digital technologies，the foundation of digital technologies in enabling information perception and transmission，safety information interpretation，and safety behavior guidance was analyzed. And the pathways of digital technology in enabling digital perception，intelligent decision-making and multi-level control were analyzed. On this basis，the multi-level edge intelligent management and control mode for work safety with intelligence，agility，flexibility，and unity was proposed. Finally，the performances of responding with safety events were calculated and compared before and after the application of the digital control mode in the three types of scenarios: emergency，short-cycle control and long-cycle control. The results show that the proposed multi-level edge intelligent management and control mode can significantly improve the effectiveness of safety control.

To explore the slipstream characteristics of 400 km/h high-speed trains passing through tunnels，a three-dimensional，unsteady，compressible and realizable k-ε turbulence model was used to perform numerical simulations to analyze the time evolution and spatial distributions of slipstream in tunnels. In addition，the flow field around the train was zoned according to the times when each part of the train reached and left the measuring point. Five characteristic parameters were used to measure the change of the slipstream speed in each area. The influence of different train formation lengths and tunnel lengths was discussed. The research results show that the change characteristics of slipstream in the tunnel are significantly affected by the train running position and pressure wave propagation. The slipstream peak increases with the increase of train formation length and speed，and the peak arrival time is delayed and advanced. The positive peak value of 8 formation is 68.75% higher than that of 3 formation，and the peak value at 400 km/h is 22.65% higher than that of 300 km/h. Under the same tunnel length，the maximum positive peak slipstream appears at the midpoint of the tunnel，and the fluctuations here are more intense and complex. The influence of pressure wave in the long tunnel on the peak slipstream speed is weakened. When the tunnel length reaches 3km，the positive peak slipstream drops by 30.70% compared with the length of 1km.

In order to explore the promotion path of civil aviation employees' willingness to share safety information，a multi-condition linkage model was constructed based on the theory of Person-Environment Fit，which presented the impact of individual characteristics and organizational environment on employees' willingness to share safety information. On the basis，model validation was carried out using fsQCA method based on 178 survey questionnaires. The results show that willingness to share safety information is not driven by a single condition，such as individual cognition level，job embeddedness，professional identity，leadership support，and safety culture，but rather the result of multiple conditions. There are three models for promoting higher levels of willingness to share safety information. The first is employee autonomy-driven model，which has as its core conditions high individual cognitive，high job embeddedness，and high professional identity. The second is the resonance-driven model，the core conditions of which are high individual cognitive，high professional identity，high support from leaders，and insufficient job embeddedness. The third is the leadership support-driven model，whose core conditions are high support from leaders and the absence of safety culture.