Aiming at the problems of uncertainty and imprecision of public opinion information in emergency response decision-making of emergency events network public opinion, a decision-making method for emergency response to online public opinion on emergency events based on PLTSs was proposed. Firstly, methods such as Python programming and machine learning were used to crawl, preprocess and analyze the sentiment tendency of online public opinion information to obtain the decision matrix characterized by PLTSs. Secondly, the CRITIC assignment method was used to objectively determine the weights of each attribute. Then, the comprehensive relevance of each case was obtained and ranked based on grey correlation analysis(GRA) model. Finally, the effectiveness and practicability of the proposed method were verified through typhoon disaster cases. The results of the study show that the proposed method is able to monitor the online public opinion of emergencies in real time, obtain decision-making data objectively and intelligently so as to realize the quantitative assessment of typhoon disasters. It provides good decision-making support for the relevant emergency departments to effectively respond to the online public opinion of emergencies.

To enhance the personalized thermal protection effectiveness for workers exposed to hot environments and clarify the individualized protection strategies with different body types, this study investigated the physiological and perceptual responses with different BMI in hot environments to explore individual thermoregulation capacity during heat exposure. First, two hot environments were set in a climate chamber, including neutral ((25.1±0.4)℃, (52.8%±1.9%) Relative Humidity(RH), 0.1 m/s) and high temperature ((35.0±0.5)℃, (50.0%±2.9%) RH, 0.1 m/s). Twenty male participants were recruited and divided into two groups: overweight (BMI ≥ 24) and underweight (BMI < 18.5). Second, participants were initially seated in neutral environment for 10 minutes, then performed alternating cycles of exercise and recovery in the hot environment. Physiological and perceptual responses parameters were recorded during the human trials. Finally, the regulatory mechanism of BMI on thermal responses and the extent of its impact were evaluated by analyzing the differences in subjective and objective indicators between the two groups of subjects. The results indicated that the two groups significantly (p<0.001) differed in core temperature, with the increase of 0.55 ℃ for the overweight group and 0.46 ℃ for the underweight group. The mean skin temperature of overweight and underweight participants increased by 4.2 and 2.9 ℃, respectively, indicating that overweight individuals were more sensitive to high temperatures. The total sweat rate and heart rate of overweight participants were significantly higher than those of underweight participants, while no significant difference was observed for heart rate between the two groups. Differences in BMI led to statistically significant differences in perceptual responses parameters (p<0.05), not only affecting the intensity of thermal responses but also inducing differences in the patterns of regulatory mechanisms. Therefore, individualized thermal protection strategies should be formulated based on body type characteristics.

This study provides quantitative support for analyzing current fire communication command systems and enabling their iterative upgrades. A four-level efficacy evaluation index system for brigade-level fire command communication systems was constructed, based on fire communication command system design specifications. This system assessed three key dimensions: operational support capability, data service capability, and communication assurance capability. An IPSO-BP-based system efficacy evaluation method was proposed, building upon BP neural network algorithm. Parameters were optimized using IPSO algorithm. Sample data were acquired through a combination of expert scoring and the Analytic Hierarchy Process (AHP). Principal Component Analysis (PCA) was applied for dimensionality reduction. Simulation comparisons were conducted using three distinct models: BP neural network, PSO-BP neural network, and IPSO-BP neural network. Results demonstrate that IPSO-BP neural network model achieves the fastest convergence speed. Its mean square error decreases by 75.71% compared to BP neural network model and by 45.96% compared to PSO-BP neural network model, representing the lowest error value among the three models. Furthermore, IPSO-BP model reasonably and accurately evaluates brigade-level fire communication command system efficacy, demonstrating considerable generalizability.

To enhance the safety governance level of special equipment, based on the governance paradigm of socio-ecological resilience, and through literature review, pattern construction, structural analysis, and conceptual elaboration, the safety resilience governance mode of the whole life cycle of special equipment was explored. Firstly, the safety governance mode based on the whole life cycle and the safety governance mode based on system resilience were established and analyzed, and the resilience-led special equipment safety governance mode (RL-SES-GM) was constructed. Secondly, direct element system of SES-personnel equipment management (SES-PEM) and indirect element system of SES-mitigating recovery learning coping (SES-MRLC) were established, and the structure of these systems was analyzed. Based on this, the risks from the perspective of system resilience throughout the whole life cycle were defined. Finally, a two-dimensional governance paradigm structure of "safety soft science + hardware equipment", a triple pre-control mechanism structure of "risk grading control + hidden danger investigation and management + safety resilience", and a two-dimensional technology structure driven by "data + knowledge" were constructed. The results show that the established two-dimensional governance paradigm structure, the triple pre-control mechanism structure, and the two-dimensional technical structure in this paper provide a paradigmatic support for the formulation and optimization of risk prevention and control policies. SES-PEM and SES-MRLC of safety & security governance lay the foundation for quantitative research and decision-making efficiency in safety & security governance. The whole life cycle RL-SES-GM effectively drive the paradigm transformation of special equipment safety governance. The governance mode under the coupling mechanism of whole life cycle and system resilience should targetedly improve the "mitigating ability, recovery ability, learning ability, and coping ability" in different periods.

To explore the mechanism of deviation in the operation objectives of safety production liability insurance in hazardous chemical logistics parks, grounded theory was adopted as the research method in this study. Through systematic and in-depth interviews with multiple key stakeholders, the study aimed to capture and refine the key factors affecting the operation objectives of safety liability insurance, thereby a mechanism model was constructed for the deviation in the operation objectives of safety liability insurance in hazardous chemical logistics parks under the interaction of six main entities. The model was analyzed with a focus on elucidating its formation mechanisms. The research indicates that the mechanism of deviation in the operation objectives of safety liability insurance in hazardous chemical logistics parks can be divided into three stages: planning, execution, and feedback. At each stage, multiple entities, under the influence of external and internal stimuli, exhibit behaviors that deviate from the objectives. These behaviors, linked together, lead to phased deviations in objectives. More importantly, the deviations at these three stages are not isolated but are interconnected and cumulatively cyclical. This cumulative causal effect ultimately results in an overall deviation of the operation objectives of safety liability insurance in hazardous chemical logistics parks.

This study developed a method for identifying intrinsic safety evaluation indicators and the associated assessment methods based on the LDA topic model. Firstly, the definition of intrinsic safety for smart highway was proposed. Guidelines for smart highway construction from 15 provinces and municipalities were collected. The Term Frequency-Inverse Document Frequency (TF-IDF) algorithm and the LDA topic model were applied to extract topics and keywords from the corpus. By integrating relevant standards and expert evaluation, an intrinsic safety performance evaluation index system for smart highway was established. This index system included four first-level indicators: safety perception and monitoring capability, traffic operation safety assurance capability, safety decision support capability, and system and equipment reliability, which are further divided into 15 second-level indicators. The connotation of each second-level indicator was described. Subsequently, the interactive relationships among the evaluation indicators of the intrinsic safety performance of smart highway were calculated using the ANP, and the weights of each evaluation indicator were determined using the Super Decision software. The results show that data transmission reliability, electromechanical equipment operation reliability, safety risk prediction and assessment capability are key indicators affecting the intrinsic safety level of smart highways. The developed evaluation methodology enables efficient extraction of valid data from textual sources, thereby enhancing the objectivity and accuracy of intrinsic safety assessment. This approach provides actionable guidance for advancing intrinsic safety development in smart highway.

In order to improve the level of safety management in smart construction sites, it was necessary to establish a scientific and applicable evaluation index system and an evaluation model. Firstly, based on the trio spaces theory, the literature analysis method, the Delphi method and the field survey method were employed to construct a maturity evaluation index system of safety management in smart construction sites, including 5 first-level indicators and 24 second-level indicators. Secondly, the weights of these evaluation indicators were determined by the game theory-combination weighting method. A maturity evaluation model was then constructed based on the extension cloud theory, putting forward five maturity levels. Finally, the maturity evaluation model of safety management was applied to a smart construction site in Suzhou. The results show that the maturity score of safety management in this smart construction site is 78.304, with a standard level, which is consistent with the actual safety management condition on-site, and the validity and scientificity of this model are verified. Through the priority area improvement method, the repeated incidence of unsafe behavior of personnel, accuracy rate of dangerous behavior identification and early warning, closed-loop security inspection rate, allocation rate of intelligent security protection equipment and accuracy rate of equipment unsafe state monitoring and early warning should be improved first.

In order to enhance the level of flight students' safety behaviors, the match between authentic leadership of flight instructors and authentic followership of flight students was used as the independent variable, the safety behavior of flight students was used as the dependent variable, and the satisfaction of basic psychological needs was used as the mediating variable, Polynomial regression and response surface analysis methods were employed, and data from 256 valid survey questionnaires were used to investigate the influence of match between authentic leadership of flight instructors and authentic followership of flight students on safety behavior of flight students. The results show that the more the flight instructor's authentic leadership matches with the flight student's authentic followership, the higher the flight student's basic psychological needs satisfaction level is, the flight student's basic psychological needs satisfaction level is higher in the case of "high authentic leadership-high authentic followership" than in the case of "low authentic leadership-low authentic followership". The level of basic psychological needs satisfaction of flight students in the "low authentic leadership-high authentic followership" scenario is higher than that of the "high authentic leadership-low authentic followership" scenario. In the match between authentic leadership of flight instructors and authentic followership of flight students, the satisfaction of basic psychological needs mediates the effect on flight students' safe behavior.

In order to explore the theoretical contribution and application value of gray rhino risk in the field of work safety. The connotation and extension of gray rhino theory were integrated to carry out the multi-perspective integration and thinking paradigm breakthrough of the three lines of defense research on work safety. The analysis of the connotation of work safety of gray rhino and the construction of prevention and control system were carried out according to the three parts of concept integration path analysis, scenario evolution chain deduction and three lines of defense system construction. The results show that gray rhino risk has very similar cognitive interpretation attributes and conceptual mapping relationships with work safety hazard, hidden danger and accident. The work safety of the gray rhino is influenced by both subjective construction and objective real risk factors. The accident scenario evolution chain is composed of the scenario components of "system energy-inducing-disaster-bearing performance" and the risk evolution stages of "accumulation-fluctuation-mutation". Three lines of defense for work safety are constructed from the prevention and control domain of "cognitive domain- prevention domain- control domain" and the hierarchy structure of "protection layer- governance layer- emergency layer". It provides the gray rhino theory and the risk metaphor method guidance for the study of work safety management.

In order to improve the accuracy and reliability of ship-bridge collision risk assessment for navigable bridges, the causes of 248 ship-bridge collision accidents at home and abroad were statistically analyzed and identified, thereby constructing the initial index system of ship-bridge collision risk factors, including 23 risk causes. Based on the fault tree analysis method, the initial fault tree of ship-bridge collision risk was constructed. Boolean algebra operation was used to obtain the fault tree cut sets. By merging and deduplicating the minimum cut sets, the number of causes in the initial fault tree was first simplified. According to the calculation and analysis of the accident probability caused by residual risk causes, combined with Pearson correlation analysis of risk factors, the number of fault tree risk causes was simplified in the second step, and then the main risk factors affecting ship-bridge collisions were identified. The results show that factors such as "navigational conditions and exceeding navigational clearance height", "poor working status", "weak communication ability and poor crew ability", "ship equipment aging and psychological habit" should be incorporated into risk causes including "unfamiliarity with navigational conditions", "lack of navigation technology", "mechanical equipment failure and fluky psychology". Abnormal psychology did not cause accidents during the 8-year period of accident probability analysis, and its proportion in accidents over 10 years was only 0.21%, so it should be eliminated. The correlation between ship density, management of navigational aids and other factors is weak, and the probability caused by the two factors is low, so they can be removed from the main risk factors of ship-bridge collision. Therefore, a ship-bridge collision risk evaluation index system for navigable bridges is constructed, which is based on 14 main risk factors such as meteorological and hydrological conditions, mechanical equipment failure, and weak professional navigation technology and weak emergency response capability.