Top Read Articles

Published in last 1 year |  In last 2 years |  In last 3 years |  All

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Statistical analysis of major chemical work safety accidents in recent 20 years LI Min, ZHU Baijian, CHEN Tingwei, HE Shan, SHI Shiliang, LU Yi China Safety Science Journal    2024, 34 (11): 43-50.   DOI: 10.16265/j.cnki.issn1003-3033.2024.11.0437 Abstract （2169）   HTML （48）    PDF（pc） （9483KB）（375）       Knowledge map    Save In order to reduce the number of accidents, casualties and enhance the ability to control the level of accident hazards, and to study the general characteristics and hidden patterns of heavy and large safety accidents in China's chemical production industry, this paper used statistical analysis to comprehensively analyze 41 heavy and large accidents that occurred from 2000 to 2023 in terms of time, region, production stage, type of accidents, causes of accidents and other elements. The results show that the number of accidents shows a fluctuating upward trend in 2007-2019, and July and August are the high incidence period of accident every year. The number of heavy chemical accidents in East China accounts for 52.2% of the whole country, of which 12 accidents occurred in Shandong Province, accounting for 57.1% of the total. The highest proportion of accidents occurred in the formal production stage of enterprises, accounting for 53.6% of the total. The main types of accidents is container explosion. The domino effect exists in accidents, with heavy domino accidents and large domino accidents accounting for 14.63% and 39.02% of the total accidents respectively. There are more accidents with domino effect in heavy and large accidents than those without domino effect, accounting for 53.65%, of which the casualties of accidents with large dominoes account for 40.1% of the total accidents and casualties. The most frequent cause of accident statistics is the illegal execution of production, accounting for 49.3% of the total, and the resulting accidents with domino effect account for 66.6% of the accidents. In response to the problems analyzed in the above accidents, this paper proposes some measures to improve the management system from three perspectives: the company, the equipment and the employees. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Generation mechanism of weak prevention in process of accident risk governance ZHANG Jian, HU Chunyan China Safety Science Journal    2024, 34 (12): 24-33.   DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0580 Abstract （704）   HTML （5）    PDF（pc） （2747KB）（81）       Knowledge map    Save In order to promote the precise governance goals of accident risks, a research method combining process-tracking based on actor network theory and case comparative analysis was adopted to study the weak prevention generation mechanism in the process of accident risk governance. Firstly, the technical environment for analyzing the evolution process of accident risk was clarified, including prepositive contexts, structural scenarios, and developmental circumstances, as well as the analysis logic based on Lens Model and dimensions of time, space, and structure, to provide a research foundation for the integrity analysis of accident risk production process. Secondly, based on the case comparative analysis of the tracking of the interaction process between different types of actors and risks, the role change picture of the core actors, homeowners and rainstorm, in the process of accident/disaster risk governance and accident/disaster generation was presented integrally. Finally, a comparative analysis and reflection of case studies based on tracking the interaction between different types of actors and risks were summarized, and the essence and generation mechanism of weak prevention in the process of accident risk governance were proposed. The results indicate that the mixed interaction between human and non-human actors can continuously activate the emergence and mutual construction process of new actors, new intersectionality, and new vulnerabilities in the system, subsequently resulting in the non-stationary evolution of accident risk production environment and risk structure, which leads to intervention failure and recurrence of weak prevention in the process of accident risk governance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Comparative study of inherent safety, behavior-based safety, process safety and functional safety based on safety management paradigm shift TONG Ruipeng, WANG Lulu, XU Surui, WANG Zhihao, LIAN Fangfei China Safety Science Journal    2025, 35 (1): 7-15.   DOI: 10.16265/j.cnki.issn1003-3033.2025.01.1045 Abstract （573）   HTML （4）    PDF（pc） （10704KB）（34）       Knowledge map    Save To clarify the essential characteristics and differences between inherent safety, behavior-based safety, process safety, and functional safety and to promote a virtuous cycle of high-quality development and high-level safety, this study employed literature review and comparative analysis methods to explore their basic connotations and evolution processes, interrelationships, realistic challenges, and development paths based on the safety management paradigm shift. The results indicate that inherent safety is an idealized form of safety. Behavior-based safety is an interdisciplinary field that involves the theories and methods of safety science and behavioral science. Process safety protects humans, machines, and the environment through systematic approaches from a full life cycle perspective. Functional safety aims at preventing unacceptable risks caused by functional failures of systems. The four types of safety, led by inherent safety, involve a gradual progression from concepts to practice. These types of safety share a unified internal structure encompassing the elements of humans, machines, environment and management. The current representative standards cover various industry sectors and focus on accident prevention. In the future, the synergistic effect of the four in safety governance should be fully utilized. By using artificial intelligence technology to empower the new engine of safety production, the four should be continuously improved in specific practices tailored to local conditions. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Research review and progress of coal mine gas explosion risk assessment LI Min, WANG Dan, HE Shan, SHI Shiliang, WANG Deming, LU Yi China Safety Science Journal    2025, 35 (2): 127-136.   DOI: 10.16265/j.cnki.issn1003-3033.2025.02.0963 Abstract （561）   HTML （0）    PDF（pc） （4007KB）（9）       Knowledge map    Save Gas explosion disaster is the most serious coal mine accidents. In order to summarize the research progress of gas explosion risk assessment, firstly, the risk factors of gas explosion were identified. Then the shortcomings of existing risk assessment methods were analyzed, and the following conclusions were drawn by sorting out relevant literature. The analysis shows that there are subjective problems in identification method and evaluation method of coal mine gas explosion risk sources. There are also some problems with risk factors, such as the uncertainty of gas source and change, the unknown ignition source, the uncertainty of ventilation and air control. The application of objective weighting method and evaluation method based on mathematical theory can improve the accuracy of weighting and evaluation results, but the computational complexity limits its wide application. Although the application of computer models has made the assessment of coal mine gas explosion risk more accurate, it is necessary to solve the problem of expanding the integration of data collection and deep learning. Based on the current research status and existing problems, the future risk assessment of coal mine gas explosion can develop in the direction of multi-source data fusion technology, deeply mining precursory warning information, establishing intelligent models of disaster information based on information depth perception and data mining, and realizing dynamic risk assessment of coal mine gas explosion. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

A review of research for civil aviation safety resilience YUAN Leping, ZHENG Ying, GU Zekun, GAO Yuyu China Safety Science Journal    2025, 35 (2): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2025.02.0661 Abstract （488）   HTML （4）    PDF（pc） （1521KB）（19）       Knowledge map    Save In order to systematically review the research and development status of safety resilience in the field of civil aviation at home and abroad, and deepen the research on safety resilience in the field of civil aviation, firstly, the concept of aviation safety resilience was explored by reviewing policy documents, standards and research literature related to air transport systems in recent years. Then the research and application of safety resilience in civil aviation airport, air traffic control, flight operation and other fields were discussed. Finally, the existing problems were analyzed and corresponding suggestions and prospects are put forward. The results show that the safety management of civil aviation has formed a relatively perfect system, and the safety resilience covers all stages of safety management before, during and after, but it still cannot meet the needs of perfect connection and integration with the existing safety management system. Current studies focus more on the resilience of airports and route networks. In terms flight operation, more measures are taken to improve safety resilience based on the actual flight operation. The basic research on aviation resilience assessment is relatively lacking, and the research on aviation personnel resilience at operational level is far from enough. In the future, relevant research should be carried out around the individual operation resilience, enrich the basic research of resilience assessment, further deepen the research and form a relatively stable discipline system, pay attention to the connection between safety resilience and safety management system, and assess individual operation resilience from the perspective of safety. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Analysis of thermal runaway characteristics of lithium-ion batteries under high and low temperature short-term shocks WANG Shaojia, WANG Zhi, ZHAO Qingjie, SHI Bobo China Safety Science Journal    2024, 34 (12): 159-167.   DOI: 10.16265/j.cnki.issn1003-3033.2024.12.1774 Abstract （480）   HTML （0）    PDF（pc） （5233KB）（133）       Knowledge map    Save 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. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Impact of implicit and explicit safety attitudes on safety behavior among construction workers YE Gui, YUE Hongzhe, YE Xin China Safety Science Journal    2024, 34 (12): 2-7.   DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0222 Abstract （467）   HTML （3）    PDF（pc） （2036KB）（36）       Knowledge map    Save To improve construction workers' safety behavior and enhance the effectiveness of both implicit and explicit safety attitudes on this behavior, this study investigated the interaction between these two types of attitudes and their combined influence on safety behavior. First, an experiment was designed to measure the implicit safety attitudes of construction workers, and Implicit Association Test(IAT) was used to evaluate underlying attitudes. Then, the relationship between implicit and explicit safety attitudes was analyzed based on an explicit safety attitude scale. Finally, the study examined how the three components of both implicit and explicit safety attitudes—cognitive, emotional, and behavioral tendency—affected safety behavior. The results show that construction workers generally exhibit positive implicit safety attitude. However, the correlation between implicit and explicit safety attitudes is weak. Explicit safety attitude, particularly the overall, emotional, and behavioral components, has a significant positive effect on safety behavior, while the correlation between implicit attitude and safety behavior remains weak. When implicit and explicit safety attitudes are aligned, their correlation with and explanatory power for safety behavior increases. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Exploration and practice of a new training mode for safety engineering degree postgraduates HU Juan, WANG Kai, TONG Ruipeng, ZHOU Aitao China Safety Science Journal    2025, 35 (1): 1-6.   DOI: 10.16265/j.cnki.issn1003-3033.2025.01.1037 Abstract （460）   HTML （7）    PDF（pc） （1880KB）（38）       Knowledge map    Save Cultivating professional master's students is essential to addressing the shortage of high-level applied talents. To meet the industry demand for safety engineering professionals, this study analyzes challenges in China's training processes based on domestic and international practices. It introduces the "professional group + action learning method" model, alongside reforms in curriculum, teaching methods, training bases, faculty, and evaluation standards, using China University of Mining and Technology-Beijing as a case study. Data from the 2023 cohort validate the model's effectiveness in improving graduate quality, enhancing competencies, and addressing traditional education shortcomings, proving its feasibility and reference value. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Failure causes of emergency response in oil and gas pipeline accidents and social network analysis GONG Yunhua, ZHANG Zhe China Safety Science Journal    2025, 35 (1): 209-215.   DOI: 10.16265/j.cnki.issn1003-3033.2025.01.1536 Abstract （441）   HTML （2）    PDF（pc） （2984KB）（7）       Knowledge map    Save To avoid worsening the consequences of oil and gas pipeline accidents due to emergency failures, the causes of emergency failure in 27 accidents at home and abroad were analyzed using the HFACS model. Based on the results of grounded theory (GT) statistical coding analysis, a classification model of failure causes of emergency response in oil and gas pipeline accidents was proposed. SNA was used to develop the relationship network of the causes of emergency failures in oil and gas pipeline accidents. The core-periphery, centrality, and association direction index analyses were used to identify core factors and factors with high association and strong mediating roles in the classification model of the causes of emergency failures in oil and gas pipeline accidents. The results indicated that the classification model of emergency failure causes in oil and gas pipeline accidents was divided into five levels: government and emergency department factors, operator organizational factors, operator unsafe supervision, preconditions for unsafe behavior of on-site personnel, and unsafe behavior of on-site personnel. The emergency failure causes were further divided into 16 bottom-level factors, among which there were 9 core factors: inadequate safety supervision by government and emergency departments, ineffective emergency rescue, regulations defects, insufficient supervision by pipeline operators, technical environment, and skill errors. Skill errors, regulations or procedure defects, technical environment, and insufficient supervision by operators were highly associated factors. Moreover, pipeline operators' regulation defects, procedure defects, technical environment, insufficient supervision, improper resource management, and decision-making errors were strong mediating factors. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Research on aircraft control system fault risk assessment based on hybrid probability models SHI Tongyu, GAO Yi, WANG Yantao China Safety Science Journal    2025, 35 (2): 10-20.   DOI: 10.16265/j.cnki.issn1003-3033.2025.02.0601 Abstract （410）   HTML （3）    PDF（pc） （3453KB）（13）       Knowledge map    Save To address the flight safety risks posed by faults in aircraft control systems, a composite framework for fault risk assessment based on IRPN was proposed. This framework comprehensively considered four key risk factors: fault probability, severity, detectability, and risk damping. First, system fault modes were deduced bidirectionally using FMECA-FTA method. Second, human and environmental factors were incorporated, and a Bayesian network approach was employed to construct a hybrid probability model for calculating fault probabilities. Third, fault severity was categorized into three evaluation parameters, which were comprehensively assessed using the Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods. Next, utilizing resources such as pilot quick reference manuals and aircraft type design manuals, a criterion-based reasoning method was applied to establish detectability scoring criteria, allowing for a more scientific evaluation of fault mode detectability levels. Finally, the FRAM was introduced to define risk damping coefficients, characterizing the propagation of risk during the evolution of fault risks. The computational validation was carried out with the case of jamming failure mode of aircraft flap seam wing actuation system. The research results show that its IRPN assessment result is 158, which is in perfect agreement with the actual operation. The validity and accuracy of the failure composite risk index calculated by the IRPN composite risk assessment framework are confirmed by the failure mode example simulation and the real verification of unsafe events. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Human reliability analysis of emergency behaviors for hazardous chemical accidents in chemical industry parks WANG Dongdong, YANG Angbin, WANG Zhihao, ZHAO Jingrong, DONG Guoyu, TONG Ruipeng China Safety Science Journal    2025, 35 (2): 21-27.   DOI: 10.16265/j.cnki.issn1003-3033.2025.02.1078 Abstract （397）   HTML （3）    PDF（pc） （3177KB）（21）       Knowledge map    Save To explore human error in complex emergency rescue scenarios for hazardous chemical accidents in chemical industry parks and improve human reliability in emergency rescue actions, a comprehensive analysis method was established to quantitatively evaluate the human reliability of emergency rescue for hazardous chemical accidents. Firstly, based on the laws, regulations and standards related to the emergency rescue of hazardous chemical accidents, 20 emergency behaviors in chemical industry parks were summarized and extracted. Secondly, cognitive reliability and error analysis method(CREAM) was introduced to determine the probability of human error. Analytic hierarchy process(AHP) and entropy weight method were combined to quantify the severity of errors in emergency behaviors. Finally, from the perspectives of possibility and severity, the weak aspects of emergency behaviors in chemical industry parks were explored, and the strategies for enhancing emergency rescue capabilities in chemical industry parks were discussed. The practical application of the method was verified with the example of N chemical industry park. The results show that 20 emergency behaviors were divided into 3 clusters. There are 4 emergency behaviors identified that needed to be prioritized for improvement in the petrochemical zone: risk assessment, fire-fighting, initial disposal of enterprises and rescue of people in distress. For these emergency behaviors, it was proposed that N chemical industry park should focus on optimizing the accident information transmission mechanism, improving decision-making and command effectiveness, and strengthening rapid response and disaster identification capabilities, so as to provide countermeasures and suggestions for improving its emergency rescue capability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Risk assessment of biological sample transport by UAVs based on Bayesian networks LIU Qing, SHEN Tian China Safety Science Journal    2025, 35 (1): 16-24.   DOI: 10.16265/j.cnki.issn1003-3033.2025.01.0441 Abstract （379）   HTML （6）    PDF（pc） （3180KB）（19）       Knowledge map    Save To quantify the transportation risks associated with biological samples using UAVs, this study first identified 32 risk factors across five dimensions-human, machine, environment, management, and hazard-based on national standards and relevant literature. A BN for risk assessment was constructed using Netica software, with prior probabilities determined through expert knowledge and fuzzy set quantitative analysis. The proposed risk assessment model was then used for bidirectional reasoning and scenario analysis. A case study of a UAV company in Shenzhen was presented to evaluate the transportation risks of biological samples and identify key influencing factors. The results indicate that the risk probability of biological sample transportation, as calculated through forward reasoning, is approximately 2.203×10-5. The primary risk factors are related to hazardous materials, followed by equipment and facility-related issues. The core risk factors influencing biological sample transportation include the size, quantity and weight of hazardous material packages, the temperature control effectiveness of specialized cold chain logistics boxes, the integrity of emergency response plans, emergency handling capabilities, safety management and education, and the presence of obstacles. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Empirical analysis of construction engineering safety impact network influenced by five-party responsible entities CHEN Dawei, YANG Zhe, YU Rui, CAO Weiqiang China Safety Science Journal    2025, 35 (4): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1638 Abstract （374）   HTML （0）    PDF（pc） （2249KB）（5）       Knowledge map    Save In order to effectively prevent construction safety accidents, a safety responsibility network model of the five responsible parties was developed based on complex network topology characteristics to reveal the nonlinear coupling mechanism of their safety responsibilities, supported by accident case studies. First, relevant regulations, standards, and literature were analyzed to extract safety responsibility checklists for each party, and a responsibility matrix was constructed. Subsequently, Neo4j software was utilized to visualize the network diagram illustrating the safety influence relationships among the five parties in construction projects. Finally, topological metrics were applied to explore the interdependencies between the parties across multiple dimensions. The results indicate that the construction client plays a central and dominant role in project safety, with particularly significant influence on the contractor. The contractor's impact is primarily concentrated within its organizational boundaries, and its responsibility implementation is susceptible to external influences from other parties. The survey and design units indirectly affect other parties through the construction client. The supervision unit maintains systemic balance and regulation through monitoring and feedback mechanisms. The identification of critical decision-making nodes and passive response factors provides network topology-based evidence for differentiated management of responsible parties. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Simulation analysis of evacuees competitive behavior based on system dynamics LIU Juan, YE Ran, WANG Jinghong China Safety Science Journal    2024, 34 (11): 58-65.   DOI: 10.16265/j.cnki.issn1003-3033.2024.11.0182 Abstract （342）   HTML （4）    PDF（pc） （6495KB）（25）       Knowledge map    Save In order to quantify the psychological changes of crowds and the impact of competitive factors on the behaviors of evacuees in emergency evacuation situations, a dynamic model was constructed that closely links the state of personnel psychological state with competitive influencing factors. In this model, the crowd was divided into three categories based on individual behavioral characteristics: independent evacuees, cooperative evacuees, and competitive evacuees. Three major factors influencing individual decision-making during the evacuation process were analyzed in depth: personal characteristics, social guidance mechanisms, and environmental factors. Specific parameter values were set, and SD were employed to simulate and study the behavioral characteristics of pedestrians during emergency evacuation. The research results indicate that as environmental visibility decreases and panic spreads, the proportion of competitive evacuees significantly increases. Conversely, when there are positive guiding behaviors and acts of helping others in the environment, these positive factors can effectively alleviate the crowd's anxiety and reduce competitive behaviors. Particularly noteworthy is that when multiple factors are coupled, the greater the competitive intensity, the more significant the positive effect of helping behaviors becomes. This shows that in highly stressful evacuation environments, positive social guidance and mutual assistance behaviors play a non-negligible role in relieving competitive pressure and improving evacuation efficiency. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Mining truck driver fatigue driving detection based on improved YOLOv8 GU Qinghua, YIN Shutan, WANG Dan, LI Xuexian, YIN Huimin China Safety Science Journal    2025, 35 (1): 60-66.   DOI: 10.16265/j.cnki.issn1003-3033.2025.01.0147 Abstract （341）   HTML （1）    PDF（pc） （12457KB）（26）       Knowledge map    Save To address the high rates of missed detections and false alarms, as well as the poor robustness in fatigue driving detection for open-pit mine truck drivers, a fatigue driving detection model for mine truck drivers (EBS-YOLO) based on the improved YOLOv8 is constructed to enhance the overall performance of fatigue detection. Firstly, YOLOv8 was used as the basic model for fatigue detection, and a small target detection layer was added to enhance the model's attention to small targets. Secondly, the bottleneck attention module (BAM) was used to improve the model performance to extract small target features, especially eye features. Finally, all cross-stage aggregation modules (C2f) in the backbone network were replaced with efficient multi-scale attention (EMA) modules, thereby effectively reducing model parameters and computational overhead to meet the requirements of a lightweight model. The results showed that the improved YOLOv8 model had a great detection effect with the accuracy, recall rate, and average detection accuracy reaching 93.6%, 93.9%, and 96.5%, respectively, and the memory size of the model was only 4.9 MB. Compared with the YOLOv8 model, the improved model can quickly and accurately identify the fatigue state of mining truck drivers, meet real-time requirements, and effectively prevent fatigue-driving accidents. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Mechanism of risk perception on safety cognition of construction workers in underground caverns JIANG Xin, LI Fengbiao, PENG Jiayu, JIAN Li, JIN Lianghai China Safety Science Journal    2025, 35 (3): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2025.03.1121 Abstract （341）   HTML （1）    PDF（pc） （1948KB）（0）       Knowledge map    Save In order to improve the safety cognition level of underground caverns construction workers, safety requirement and safety capability were introduced as mediating variables, and occupational burnout was used as a moderating variable to construct a moderated chain mediation model. A structured questionnaire was designed using 5 scales: risk perception, safety requirement, safety capability, occupational burnout and safety cognition. A questionnaire survey and data analysis were conducted on 312 underground caverns construction workers, and SPSS 26.0 and AMOS 26.0 software were used to test the mediating effect and moderating effect.The results show that risk perception directly and positively affects the safety cognition of underground cavern construction workers, while occupational burnout plays a negative moderating role between the two. Risk perception also affects the safety cognition of construction workers through the independent mediating effect of safety requirement and safety capability, as well as through the chain mediating effect of safety requirement and safety capability. Therefore, motivating and improving the risk perception, safety requirement and safety capability of construction workers, while reducing their occupational burnout, can effectively improve their safety cognition level. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Intelligent analysis of building fire accidents based on knowledge graph XU Hui, JIANG Mei, XUE Hong, ZHOU Qilin China Safety Science Journal    2024, 34 (12): 94-99.   DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0688 Abstract （324）   HTML （3）    PDF（pc） （5270KB）（139）       Knowledge map    Save To provide intelligent and systematic decision support for building safety management, building fire accidents data was collected and summarized. The knowledge graph of building fire accidents was developed to construct a knowledge graph database. Based on the dimensions of time, space, theme, and important entities, the implementation process of the intelligent question-answering system was innovatively presented. Moreover, the intelligent analysis of building fire risk was performed. The results showed that daytime and summer were high-risk periods for building fires. The frequency of building fire accidents in East China was significantly higher than that in other regions, and the fire risk of building fires was higher in electrical and warehouse areas. Reinforced concrete frame structures and factory buildings were more prone to building fires. Most ignition sources were combustible solids, and the main cause of fire accidents was illegal construction behavior. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Exploration and practice of collaborative training for safety discipline talents between universities and institutions: from integration of science and education to integration of industry and education TONG Ruipeng, WANG Leyao, HAN Jixiang, ZHANG-JIANG Bonan, KANG Rongxue, AN Yu China Safety Science Journal    2025, 35 (7): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1357 Abstract （315）   HTML （0）    PDF（pc） （6248KB）（0）       Knowledge map    Save To cultivate talents with both theoretical innovation and practical abilities in safety science and engineering discipline of universities, this paper explored the educational practice of safety discipline from the integration of science and education to the integration of production and education. First, the integration concepts of science and education and integration of production and education were analyzed under the new Degree Law, establishing the connotation requirements and an educational framework for science-industry-education synergy. Utilizing macro, meso, and micro perspectives, this study constructed robust educational systems, management mechanisms and training programs. Examples from School of Emergency Management and Safety Engineering of China University of Mining and Technology-Beijing and National Academy of Safety Science and Engineering illustrated the effective cultivation of talent seeds, the creation of nurturing environments, and the achievement of substantial educational outcomes. Results indicate that this collaborative model significantly enhances the comprehensive development of safety professionals and improves the overall quality of education in the safety discipline. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

System fault evolution process based on quantum thought description CUI Tiejun, LI Shasha, DENG Wenhao China Safety Science Journal    2025, 35 (5): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2024.05.0671 Abstract （310）   HTML （0）    PDF（pc） （3234KB）（0）       Knowledge map    Save In order to study the SFEP and its characteristics, a method for describing SFEP using quantum concepts is proposed. The relationship between SFEP and event function states was discussed. The principle of describing SFEP by quantum thought was studied. The mathematical model of quantum description of SFEP was constructed. The measurement collapse of SFEP quantum states was realized, and the failure mode and its probability were finally determined. The results indicate that SFEP has diversity and uncertainty, event quantum state superposition, measurement collapse, bipolar state, which is the basis of studying SFEP through quantum thought. SFEP can be decomposed into multiple layers, with distinct objects and quantum state superposition modes in each layer. The SFEP quantum states are derived from the superposition of the quantum states of objects at each layer, which is composed of the polynomial product of the probability amplitude of the objects in each layer. The restriction conditions for the formation of the probability amplitude of quantum states of each layer are given. Each dimension of the SFEP quantum state vector is a fault state. The measurement of the factor phase value makes the SFEP quantum state collapse, and the possible failure mode and occurrence probability are obtained. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

Select

Classification and management method of errors and violations in civil aviation pilots' unsafe behaviors WANG Lei, WEI Zixin, ZOU Ying China Safety Science Journal    2024, 34 (12): 8-15.   DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0281 Abstract （308）   HTML （0）    PDF（pc） （3340KB）（6）       Knowledge map    Save To address the classification and quantitative evaluation issues of unsafe behaviors of civil aviation pilots, the management mode of their unsafe behaviors was optimized. A method for managing unsafe behaviors in civil aviation was proposed focusing on the civil aviation flight field. Firstly, based on unsafe behavior classification theory, intervention and improvement methods for errors and violations were systematically analyzed to distinguish between errors and violations. Secondly, expert interviews and questionnaire surveys were used to propose a classification evaluation index system for pilots' unsafe behaviors. Furthermore, a classification method of unsafe behavior based on quick access recorder (QAR) data and a quantification method of unsafe behavior scores based on flight operations quality assurance (FOQA) were proposed to achieve a classified quantitative assessment of pilots' unsafe behaviors. Finally, the classifying and managing unsafe behavior process was analyzed and validated. The results indicated that the 68 FOQA monitoring events obtained by screening and calculation had different causal behavioral tendencies. The two proposed unsafe behavior classifications and quantitative evaluation methods can be combined with QAR data or FOQA records. Moreover, the classification management of unsafe behaviors of civil aviation pilots can be achieved by combining intervention and improvement measures for errors and violations. Table and Figures | Reference | Related Articles | Metrics | Comments（0）