To explore the effects of dust-generating processes and environmental fluids on the spatiotemporal distribution of dust during the regeneration of old industrial buildings, field studies and numerical simulation was used to investigate the dust suppression characteristics inside the construction area under different processes and background wind speeds. The dust source characteristics in the main processes of re-construction of old industrial buildings were clarified by analyzing a large amount of dust data. Typical old industrial buildings were selected for the field studies of sanding and shoveling processes. Numerical simulation was performed to investigate the dust mass concentration distribution under five inlet air velocities and two dust-producing processes and to identify the dust-aggregation zones in the reclaimed construction space of old industrial buildings. The results showed that the maximum dust mass concentration in the grinding process exceeded the limit by 54 and 37 times in the grinding and shoveling process, respectively. Inlet wind speed affected the dust mass distribution of the main impact zones in the construction area and changed the process of dust reaching dynamic equilibrium. Dust-generating process variations impacted on the dust mass concentration distribution. Moreover, the workload increase of a specific process resulted in a proportional increase in downstream dust mass concentrations. This study can provide fundamental knowledge for dust management in the reconstruction of old industrial buildings.

In order to solve the problem of bolt breaking and losing anchor due to the influence of strong mining stress in deep mining roadway, and effectively improve the pre-tightening force of the bolt, a stress uniform bolt with high pre-tightening force was designed. The theoretical analysis, static load drawing and drop hammer impact test, numerical calculation and DIC method were used to study the load-displacement distribution characteristics of the bolt in the process of static load drawing, and the stress concentration position of the bolt was obtained. The mechanical response characteristics of the bolt under dynamic load were studied by using Ansys numerical simulation of drop hammer impact test and SHPB impact test. The results show that the thread deformation of the ordinary bolt nut decreases exponentially along the axial direction away from the extrusion surface, and the strain is concentrated in the first three circles of the thread. The stress uniformly distributed bolt can achieve thread strain coordination, and the mechanical environment is good. The change of bolt axial force is divided into a rising zone, an oscillating zone and a stable zone. When the drop hammer impulse is the same, the stress uniform distribution bolt can reduce the impact force to 64% of the original, and reduce the amplitude frequency of bolt axial force. The stress uniform distribution bolt can reduce the amplitude and frequency of the stress wave waveform. The research results have been applied to deep roadways such as Zhuji mine, Paner mine and Dingji mine. The bolt has no broken anchor phenomenon, and the control effect of the roadway surrounding rock is good.

In order to investigate the threshold conditions for pedestrian destabilization, controlled experiments were conducted in three different scenarios, including "two-person collision experiment", "multiple-person collision experiment" and "high-density multiple-person collision experiment". A pedestrian flow model was constructed, considering collision pressure, speed, density and volume. Additionally, experimental videos and collision pressure data were collected by using an unmanned aerial vehicle(UAV)and pressure sensing equipment, respectively. The changing rules of pedestrian trajectory, pedestrian flow characteristics, and collision pressure were obtained by data analysis. On this basis, the segmented Hermite triple interpolation was used to investigate the influence of speed and density on collision pressure. Finally, based on the Van Aerde model, a four-dimensional model of "pressure-speed-density-volume" was constructed by introducing the parameters of collision pressure to judge the threshold conditions of pedestrian flow instability. The results show that pedestrian flow begins at 2.46 persons/m² and reaches complete instability at 3.59 persons/m². During the instability process, the pedestrian may be subjected to the collision pressure ranging from 187.32 N to 258.11 N. The results provide references for the control of the pedestrian flow and the improvement of pedestrian traffic safety.

To meet the growing demand for emergency talent in regional industrial development, the "government, industry, academia, research, and application" education model was used to investigate an integrated training model for emergency talent from undergraduate to master and doctoral degrees. Based on the issues of unclear hierarchical demands, core competency assessments, and knowledge system construction in the Western emergency industry, the FP-Growth algorithm was used to mine and divide the association rules between courses and corresponding competencies to evaluate core competency. Safety engineering capabilities were compared to determine the focus of capability training and explore talent training pathways. The industry-specific undergraduate "3+1/1" programs were developed by integrating industry, education, theory, and practice. Moreover, an "order-based" talent innovation training model for master and doctoral levels in government-school-enterprise cooperation was proposed. Finally, the concept of regional emergency talent full industry chain service was proposed by integrating industry-education and science-education efforts to cultivate emergency talent. The results indicated that the core competencies based on the four-tiered talent demand framework were highly associated with the curriculum system. The issues of homogeneity in talent output and competency emphasis were addressed by clarifying the training direction of safety and emergency disciplines from professional focus and application backgrounds. The proposed concept of regional emergency talent full-industrial chain service closely connected educational content with market demands, enhancing students' comprehensive abilities and contributing to the regional closed-loop development of the modern emergency management industry.

An improved object detection algorithm for high-consequence areas was proposed to solve the problems of the sensitive and complex external environment of the overseas section of the China-Myanmar oil and gas pipeline, difficulty in manual inspection, and high-risk factors. Firstly, a convolutional block attention module was used to adaptively learn channel and spatial attention to enhance the network's perception and generalization capabilities. Then, focal and efficient intersection over union(Focal-EIoU) loss was used to comprehensively consider the target features and their associations to deal with the issues of class imbalance, reduce the interference of easy-to-classify samples, and enhance the robustness of the model. Finally, the improved model was used to intelligently recognize regional attributes of China-Myanmar oil and gas pipeline remote sensing images. Furthermore, the proposed YOLO model was validated against related ablation experiments. The results showed that for the feature recognition of remote sensing images of the China-Myanmar oil and gas pipeline, the proposed model reached a mean average precision (mAP) of 68.2% for the field, green space, settlement, and river. The model performance was improved by 29%, 21.6%, and 10.7% compared with YOLOv5, YOLOx, and YOLOv8, respectively.

In order to evaluate the heat strain level of outdoor workers in high temperature environments, a thermal response model was developed based on the Tanabe 65 thermal physiological model and principles of heat transfer by modifying basal metabolic rate and human surface area of the original model. The experimental data in the literature and the Tanabe model were used to verify the effectiveness of the model. The results show that the predicted results of the high temperature human thermal reaction model established under different solar radiation intensities are in good agreement with the experimental results. In an extreme environment of 36 ℃ and high solar radiation intensity, the maximum difference between the simulated value of core temperature and the measured value is less than 0.24 ℃, and the maximum difference between the simulated value of average skin temperature and the measured value is less than 0.3 ℃, which is more accurate than the classic Tanabe model. Thus, the established model can be used to predict human physiological parameters such as human core temperature and skin temperature in hot environments in the presence of solar radiation, and provide reference for the safety assessment of outdoor workers.

To deeply understand the competitive adsorption characteristics of O₂/CH₄ gas mixtures on the coal surface, the pore distribution and chemical structure of the coal surface were analyzed using the Grand Canonical Monte Carlo(GCMC) method. Molecular simulation was used to investigate adsorption capacity and heat variations during the competitive adsorption of O₂/CH₄ gas mixtures under varying concentrations, pressures, and temperatures. Moreover, the competitive adsorption mechanism of O₂/CH₄ gas mixtures on the coal surface was revealed by adsorption selectivity. The results indicated that the isothermal adsorption curves were identical when the concentration ratio of O₂ to CH₄ was 7/3. The integrated adsorption heat under different conditions was approximately 19.5-20.0 J/g for O₂ and 24.0-24.8 J/g for CH₄. When the concentration ratio of O₂ to CH₄ ranged between 7/3 and 2/8, the integrated adsorption heat of O₂ was higher than that of CH₄. The increased temperature decreased the adsorption capacity of both gases but increased the adsorption selectivity of O₂ to CH₄. Moreover, the effect of gas pressure on competitive adsorption weakened with pressure increase. CH₄ adsorbed faster than O₂ under low gas pressures, and CH₄ reached saturation adsorption earlier than O₂ when the total pressure increased. When the O₂ concentration in the gas mixtures increased, the adsorption selectivity of O₂ for CH₄ decreased. However, CH₄ consistently showed higher adsorption competitiveness than O₂.

In order to investigate the thermal runaway characteristics of lithium-ion batteries following short-term exposure to high or low temperatures shocks during transport and usage，thermal runaway tests were conducted on fully charged lithium-ion batteries. These batteries were subjected to temperature shocks at -40 to 60 ℃ for 24，48，and 96 hours before external heating was applied. Analyses were performed on thermal runaway characteristic parameters to explore change rules in thermal runaway characteristics after short-term high- or low-temperature shocks. The results indicate that the overall severity of thermal runaway and the intensity of ejected flames were attenuated by the shock factor. With rising shock temperature，the time difference (Δt₁) between the onset of thermal runaway and the rupture of the battery safety valve shows slight fluctuations overall，while both the time difference (Δt₂) between peak temperature and the onset of thermal runaway and the initial thermal runaway temperature tends to increase. In contrast，peak thermal runaway temperature and flame heat flux decrease relatively. When the impact temperature decreases，Δt₁ gradually shortens，while Δt₂ initially increases and then decreases with lower temperatures. Both the onset and peak temperatures of thermal runaway drop significantly，with reductions of 15.2 and 175.4 ℃，respectively，observed at -40 ℃，along with a reduction in flame heat flux. Additionally，with extended shock durations，Δt₁，initial and peak temperatures of thermal runaway，and flame heat flux all decrease.

In order to explore the factors influencing accident injuries in SRBE，a binary LR model was constructed based on data from 1 411 accidents from a Chinese shipbuilding group. OR were used to quantify the impact of factors such as enterprise，time，location，personnel，environment，and accident types to accident injuries. The result identifies 11 significant factors influencing accident injuries. Non-contract workers face significantly higher risks of injury compared to contract workers. Non-approved hazardous operations pose 3.246 times the risk of accident injuries compared to approved hazardous operations. Male perpetrators present a significantly higher risk of causing accident injuries than female perpetrators. The education level of the workers is predominantly at junior high school，and higher education levels are associated with a lower risk of causing accident injuries compared to those with junior high school education. Accident injuries exhibit seasonal characteristics，with accidents occurring frequently in the second quarter，while relatively fewer and less risky in the first quarter. Peak working hours and workdays significantly increase injury risks compared to off-peak hours and non-working days. Object strikes are the primary type of accidents，and mechanical injuries significantly increase the risk of accident injuries. Ships and workshops are the most likely locations for accident injuries within the shipyards. Longer years of service reduce the risk of accident injuries，while higher temperatures increase it.

In order to achieve a more comprehensive and effective investment in coal mine safety，aiming at the influence of psychological and behavioral factors of decision makers on safety input decisions，a regret theory-CBDT safety input decision model was established. By analyzing the applicability of CBDT in coal mine safety input，safety input decision-making index system was established from two aspects of safety input and safety output，based on improved DS evidence theory and the evaluation of experts，and the weights of each indicator were calculated. In the CBDT perspective，based on regret theory，the comprehensive perceived utility of each scheme was calculated，and the optimal safety investment scheme was selected according to the comprehensive perceived utility. The result shows that in the process of safety input，policymakers pay more attention to safety facilities and safety technology input，and policymakers will try to avoid safety input schemes with unsatisfactory safety output. The model is based on historical safety investment cases and combines the subjective psychology of decision-makers，it helps select the optimal safety input scheme，makes safety investment decision-making more objective and scientific.