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    Research on acceptable criteria for individual and societal risks of urban gas pipeline
    ZHANG Peng, XIAO Bowen, SONG Wenqi, LIU Wei
    China Safety Science Journal    2023, 33 (10): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.2157
    Abstract454)   HTML3)    PDF(pc) (2742KB)(47)       Save

    In respond to the higher requirement for clean energy put forward by the 14th Five-Year plan, the risk acceptable criteria of urban gas pipeline were studied from the perspective of life risk, in order to make the safety management level of urban gas pipeline can meet the needs of development. The accident data of 2012-2021 were counted by combining average individual risk (AIR) method with ALARP criterion, and the risk acceptable criteria of the previous five-year cycle were used for analysis and comparison. The reference value of the risk acceptable criteria of the next five-year cycle was predicted by adopting the risk acceptable criteria of the previous five-year cycle, and the reference value of the acceptable criteria of individual risk from 2022 to 2026 was obtained. According to the five-year cycle prediction method discussed in the individual risk acceptable criteria study, the F-N curve method was used to calculate the number of deaths per accident and annual pipeline length from 2017 to 2021, and the societal risk acceptable criteria was determined. The study shows that the risk level of 1.017 13×10-7 is the boundary of the unacceptable risk area and ALARP area, and the risk level of 2.034 27×10-7 is the boundary of ALARP area and acceptable risk area. In the societal risk study, the intolerable line and the negligible line are determined, and the risk region is determined according to the ALARP criterion.

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    Exploration on "combat-oriented" personnel training of safety engineering specialty
    ZHU Jianfang, ZHANG Ruixin, ZHANG Licong, SONG Fumei
    China Safety Science Journal    2023, 33 (8): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2023.08.0268
    Abstract397)   HTML2)    PDF(pc) (10107KB)(44)       Save

    In order to cultivate students' practical ability and shorten their job adaptation time, six professional ability objectives, such as detection and inspection, hazard identification and evaluation, were summarized according to the specific work content of safety engineering professional technicians. Accordingly, six practical teaching modules were constructed. A total of 28 practical teaching projects were designed under the teaching module, which was sourced from actual job content. These projects were summarized into 10 teaching links according to the knowledge system, which constituted the practical teaching system of safety engineering specialty. To meet the practical requirements of these teaching projects and fully tap the internal and external resources to build a teaching environment that is similar to practical teaching, an "11+1+2" practical teaching base was established. Based on characteristics of teaching staffs, the methods to enhance the practical teaching ability of professional teachers were given. The results show that practical talent cultivation is an effective way to enhance students' practical skills, which requires the support of teaching conditions and teaching environments.

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    Piezoelectric safety & security management and its model
    WANG Bing, WANG Yuanjie, ZHANG Zhihong
    China Safety Science Journal    2023, 33 (9): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2023.09.0879
    Abstract316)   HTML2)    PDF(pc) (3040KB)(18)       Save

    In order to innovate the safety & security management paradigm and further enrich the safety & security management theories, the research work of piezoelectric safety & security management was carried out based on the piezoelectric theory and safety & security management theory. Firstly, the inspiration of piezoelectric theory for safety & security management was analyzed, the connotation of piezoelectric safety & security management was explored, and the piezoelectric safety & security management conceptual model was proposed. On this basis, the model for piezoelectric safety & security management was constructed and explained by combining the whole life cycle theory of safety & security management. Finally, the characteristics of piezoelectric safety & security management were described. The results show that, piezoelectric safety & security management is a new paradigm, which can take targeted measures to meet the system's safety & security needs according to the changes of system's safety & security status in a certain time and space. Moreover, piezoelectric safety & security management includes two safety & security management modes (namely, normal safety & security management and non-normal safety & security management), and covers three safety & security management behaviors (namely, safety & security risk prevention and control, emergency response, as well as adjustment and optimization).

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    Comparative analysis study of STPA and 24Model
    SONG Wei, FU Gui
    China Safety Science Journal    2023, 33 (6): 1-10.   DOI: 10.16265/j.cnki.issn1003-3033.2023.06.1172
    Abstract310)   HTML2)    PDF(pc) (2046KB)(74)       Save

    In order to improve and develop the accident causation theory, the four aspects of STPA and 24Model, the underlying theory, relevant definitions, analysis process and analysis difficulty, were compared and analyzed, and applied to different cases respectively. The results of the study show that both models have a strong theoretical foundation. The research object of STPA is the loss of system. It performed better at system interaction study, but the complexity is high and the research error is large, so it is more suitable for single-accident analysis. In contrast, the research object of 24Model is event in the organization. The classification of accident causes is clearer and more universal. The model is simple, the research error is small, and it is commonly used for both single-accident and multi-accident analysis. Both methods are of good extensibility. In terms of application, STPA is clear on the connection between hazards and losses. However, this method is complex and subjective on accident causation, which also lacks research on inter-organizational interactions. In contrast, 24Model is more comprehensive and clearer, but it fails in the analysis of inter-organizational interaction and design defects.

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    Intelligent warning of risk during maintenance operations based on deep learning
    WANG Jinjiang, GUAN Pengting, CHEN Zhuo, GE Weifeng, JU Qian
    China Safety Science Journal    2023, 33 (10): 16-22.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.1744
    Abstract292)   HTML2)    PDF(pc) (6937KB)(20)       Save

    In order to improve the safety of the inspection and maintenance operation process in refining and chemical enterprises, a deep learning-based intelligent risk identification model was constructed by using the target detection technology. Firstly, a dynamic risk assessment model was established by combining the BN and fuzzy set theory. Secondly, a hierarchical dynamic early warning method was adopted to realize the intelligent monitoring and warning of the risk elements of the overhauling operation process; then the compressor overhauling operation process was taken as an example to identify the operation process risks by means of Failure Mode and Effect Analysis (FMEA) and hazard analysis of operation conditions, and then the intelligent identification model of risk based on deep learning was used for on-site monitoring of the operation process and identification of risk. Finally, the dynamic risk assessment of the operation process was carried out by using the method of combining the BN and the fuzzy set theory, and the grading warning method was used to realize intelligent monitoring and early warning of the risk of the operation process. The results show that the method effectively identify the risk factors in the compressor overhauling operation process, with an identification accuracy rate of 93%. Based on this, a dynamic risk assessment is carried out. When the probability of the event changed and exceeded the corresponding warning thresholds, alarms are issued based on the risk level to realize the intelligent monitoring of the risk elements.

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    Research on early warning for prefabricated building workers' unsafe behaviors of working at height based on RF-SFLA-SVM
    WANG Junwu, HE Juanjuan, SONG Yinghui, LIU Yipeng, CHEN Zhao, GUO Jingyi
    China Safety Science Journal    2024, 34 (3): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2024.03.1288
    Abstract287)   HTML0)    PDF(pc) (2281KB)(0)       Save

    In order to effectively provide early warning of the occurrence trend or state of prefabricated building workers' unsafe behaviors (PBWUBs) of working at height, and to enhance the control of PBWUBs, RF-SFLA-SVM model was proposed to conduct an early warning study on workers' unsafe behaviors. Firstly, the SHEL (Software-Hardware-Environment-Liveware) model was used to analyze the factors influencing the unsafe behaviors of prefabricated building workers in danger of working at height. RF was used to determine the key warning indicators. Then SFLA was used to find the best parameters for SVM. Finally, the RF-SFLA-SVM model was used to predict and warn about the unsafe behavioral state of the prefabricated building workers working at height, and its performance was compared with other warning models. The results show that the RF-SFLA-SVM-based warning accuracy of PBWUBs of working at height was the highest, 91.67%, which was a maximum improvement of 14% compared with the warning performance of other models. The research results can give a reference for the control and prevention of PBWUBs working at height.

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    A new concept model of safety culture and its evaluation application
    CHEN Weijiong, HAN Weijia, LI Xin, KANG Yutao, JIAO Yu, FENG Xiang
    China Safety Science Journal    2023, 33 (6): 11-19.   DOI: 10.16265/j.cnki.issn1003-3033.2023.06.1915
    Abstract284)   HTML4)    PDF(pc) (1778KB)(81)       Save

    In order to improve the level of safety culture construction in the shipbuilding industry, based on the definition of safety culture and objective reality, a new concept model of safety culture (SV-MMEMS) was proposed by integrating safety values (SV) and man-machine-environment-management system (MMEMS) model. Based on the five dimensions of safety values, man, machine, environment, and management of this model, a survey was conducted on the W shipbuilding enterprise. After data processing, such as project analysis, reliability analysis, validity testing, and factor analysis, a safety culture evaluation index system for the shipbuilding industry was constructed, consisting of five dimensions, 14 first-level indicators, and 33 second-level indicators. A second-order confirmation factor analysis model for safety culture, as well as a causal path analysis model among safety culture influencing factors, was constructed using AMOS. The findings demonstrated a favorable interaction relationship between the five elements, with "SV" acting as the nucleus and the path conefficients of each element in "MMEM", which were, respectively, 0.766, 0.553, 0.720, and 0.839. The ratio is 26.6%, 19.2%, 25.0%, and 29.2% after standardization, and organizational management elements were determined to have the biggest influence on the development of W shipping enterprise's safety culture. SV-MMEMS has considerable development and application prospects in the construction and evaluation of safety culture in enterprises and organizations.

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    Study on classification of coal mine accident causes based on NLP
    ZHANG Jiangshi, LI Yongtun, MAO Xiangning, HU Xinyue, WANG Ziyi
    China Safety Science Journal    2023, 33 (6): 20-26.   DOI: 10.16265/j.cnki.issn1003-3033.2023.06.1416
    Abstract274)   HTML2)    PDF(pc) (10019KB)(67)       Save

    In order to improve the efficiency of analyzing and processing coal mine accident text effectively, NLP and accident cause models were used for building an automatic classification framework of accident cause. Based on 24Model, 87 typical mine accident investigation reports were analyzed, and a framework of mine accident cause classifications was obtained. A corpus was constructed for each type of accident cause constructed. The NLP was used for processing each type of cause text of the corpus and training the fastText model to realize the automatic recognition and classification of accident cause text. The method proposed was compared with TextCNN and the other two classical models. The results show that a total of 21 types of accident causes and 6 684 training corpus are obtained, the accuracy of fastText after training can reach 98.92%, and the comprehensive performance is better than the other three methods. The accident text mining system is developed based on 24Model and NLP, which can analyze and process the accident text information quickly and further detail the cause of the accident investigation report, which is convenient for the case study and statistical analysis.

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    Risk zoo(II): origin, evolution and prospects of risk metaphor theory
    TONG Ruipeng, HU Xiangyang, YIN Xuechen, GUO Yu
    China Safety Science Journal    2023, 33 (10): 8-15.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.1039
    Abstract269)   HTML1)    PDF(pc) (1797KB)(36)       Save

    The risk metaphor hypothesis has slowly gained traction in risk science at the start of the 21st Century. This paper uses literature research to comprehensively examine and sort out the historical tracing and history of risk metaphor theory, investigate the development status, and evolution of risk metaphor theory, and explore the future prospects of risk metaphor research. The findings demonstrate that risk metaphor theory has been researched extensively, and some progress has been made in three areas: risk event ontology, risk management attitude, and risk evolution mechanism metaphor. Risk metaphor theory is a cross-product of risk management science and cognitive language science, and it has been developed for more than ten years. There are still some issues, nevertheless, in that regard: the study of metaphors for high probability risk occurrences with extreme impact needs to be sufficiently in-depth, attention is not given to lower impact risk events, etc. Risk metaphor theories and models exhibit significant inconsistency and a lack of rigor in key ideas. Given a number of intricate issues, it is imperative to further develop risk metaphor theory.

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    Construction safety risk analysis of bridge girder-erecting machine based on complex network integrating N-K model
    WANG Haiying, CHU Lin, XU Jian
    China Safety Science Journal    2023, 33 (9): 10-17.   DOI: 10.16265/j.cnki.issn1003-3033.2023.09.1560
    Abstract241)   HTML3)    PDF(pc) (2060KB)(20)       Save

    To identify the critical causes and paths of bridge girder-erecting machine accidents in construction engineering, a risk factor analysis method based on complex network combined with N-K model was proposed. Firstly, the cases database of bridge erecting machine accidents between 2000-2022 was established, and the accident causes of bridge girder-erecting machine were classified into four first-level risk factors and twenty-four second-level risk factors by analyzing the cause of the accidents. Then, a complex network model with major accident types and the second-level risk factors as nodes and their correlations as edges was established, and the closeness centrality and betweenness centrality of risk factor nodes were calculated. Finally, the N-K model was developed for the first-level risk factor coupling analysis, and the centrality of the risk factor nodes was optimized by using the coupled interactive information. Through the accessibility analysis of risk factors and global main path analysis, 7 key causes and 7 key links of bridge machine accidents were obtained respectively. The results show that the weak management of construction unit and the insufficient safety production inspection have the high value of closeness centrality and betweenness centrality. The biggest risk is from the path of duty dereliction of supervision unit→the weak management of construction unit→the insufficient safety production critical. So, all these key causes and paths can be taken as the focus of safety control during the construction of bridge girder-erecting machine. The key cause of bridge girder-erecting machine construction safety obtained by complex network integrating with N-K model is consistent with the conclusion of accident investigation, and the risk identification of girder-erecting machine construction safety accident is accurately realized.

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    Interval non-probabilistic reliability analysis of support structures for deep tunnel
    LI Xiang, WEI Heng, WANG Jingtong
    China Safety Science Journal    2023, 33 (12): 67-76.   DOI: 10.16265/j.cnki.issn1003-3033.2023.12.0546
    Abstract239)   HTML0)    PDF(pc) (5248KB)(1)       Save

    Aiming at the current situation of a lack of uncertain data, an interval non-probabilistic tool was introduced to perform a preliminary investigation in the domain of reliability analysis for the support structures of the deep tunnel. Firstly, the mechanism of the shearing slip displacement in the weak rock surrounding the deep tunnel was taken as an illustrative example, and a method was developed to calculate the total support resistance by using the combined support modes. Subsequently, based on the framework of the interval non-probabilistic theory, and meanwhile considering the influence caused by the interval extension problem, the applicability of the interval non-probabilistic tool was discussed for reliability study on the support structures of the deep tunnel. Eventually, a fluctuation range was defined to characterize the variations of the interval used for those uncertain parameters, and on this basis the difference for the level of those effects of fluctuations regarding a single-parameter and multiple-parameters coupling on the reliability of the support structures was revealed via the sensitivity analyses. The results manifest that the greater the fluctuation range of the interval for the uncertain parameters, the smaller the value of the non-probabilistic reliability index will be. Moreover, the larger the number of uncertain parameters involved in the fluctuation coupling, the higher the decrease in the value of the non-probabilistic reliability index will be. Hence, this situation makes the unfavorable effects on the reliability of the support structures more significant.

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    Construction and application of urban emergency preparedness capability assessment index system
    JIANG Jun, CHEN Yan, HE Gangfeng, GAO Yueyi, FENG Jingyu, HE Haibo
    China Safety Science Journal    2023, 33 (6): 190-197.   DOI: 10.16265/j.cnki.issn1003-3033.2023.06.2446
    Abstract228)   HTML9)    PDF(pc) (2049KB)(63)       Save

    In order to objectively assess urban emergency preparedness, and address the issues of poor data collection standardization and strong subjectivity in the evaluation of urban emergency preparedness capacity in the past, research on the construction and application of assessment index system was conducted. Firstly, the establishment of the evaluation index pool was based on the provisions of the Emergency Response Law, the requirements for the safe development of urban construction, and the content of the provincial and municipal "14th Five Year Plan" emergency system construction plan. It also drew on the experience of the disaster resilience score card for cities issued by the United Nations Office for Disaster Risk Reduction. Then, based on the statistical analysis of the current research results of emergency preparedness capacity in 36 regions, a 2-level evaluation system and grading criteria for responding to natural disasters and accident disasters, including 6 first-level indicators and 38 second-level indicators, were constructed. The evaluation model had been applied in a county-level City A in Jiangsu Province. The results show that the constructed "6-38" system has good adaptability to the characterization of urban emergency preparedness capacity, and the evaluation model can effectively identify the shortcomings of urban emergency capacity. It is shown that the quantitative characterization rate of the constructed "6-38" evaluation system indicators exceeds 80%. The evaluation results of City A are relatively consistent with its actual situation, which objectively reflects the overall level of emergency preparedness. Therefore, it indicates that the model is feasible and effective.

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    HC-GC human factors analysis model for construction engineering safety accidents caused by heavy rainfall
    CHEN Wei, TIAN Yishuai, ZENG Weihua, GUO Daoyuan, ZHAO Zhuoya
    China Safety Science Journal    2023, 33 (8): 15-23.   DOI: 10.16265/j.cnki.issn1003-3033.2023.08.1948
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    In order to reduce the incidence of construction engineering safety accidents caused by heavy rainfall and effectively solve the complex problem of the human factor analysis of such safety accidents, an optimization method of human factor analysis model was proposed. Based on HFACS, an HFACS-CPHRA, including 6 layers and 24 factors, was established. Then GA-CARMA were jointly used to analyze the association of human causes, and draw the chain of human causes of accidents. 150 typical cases of construction accidents caused by heavy rainfall were selected for model verification and application analysis. The results show that the optimized HC-GC model has better performance and efficiency. In the accident human causation chain, the insufficient government department in charge of safety supervision and lack of enterprise safety culture are the deep factor. Site in violation of regulation and security management loophole are the main connection factor, low level of skills and illegal will further strengthen the accident emergency disposition of negative feedback, untimely incident reporting and response is the most direct reason for the expansion and spread of construction engineering accidents caused by heavy rainfall.

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    Research on disciplinary theory of saferesourcesology
    WU Chao, WANG Bing
    China Safety Science Journal    2024, 34 (1): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2024.01.0475
    Abstract214)   HTML0)    PDF(pc) (1517KB)(0)       Save

    In order to better develop and sustainably utilize saferesources (which is newly created composite word that means the resources on safety & security in this paper), the disciplinary theory and its embryonic form of saferesourcesology (which is newly created composite word that means the science of resources of safety & security in this paper) were investigated, based on the new prospect that safety & security was a type of extremely popular and important resource. The whole study stood at the height of the science of science and viewed from the perspective of interdisciplinary science, and adopted the research methods of survey research, innovative thinking, theoretical analysis, logical induction and prediction method. Then, the definition and connotation of saferesources and saferesourcesology, the nature and classification of saferesources, the research objects and contents of saferesourcesology, the basic principles and research methods of saferesourcesology, the research directions and prospects of saferesourcesology, etc, were systematically investigated. The results show that saferesources have both the main characteristics of safety & security and resources. The characteristics of saferesources can be divided into two categories: social characteristics and their own characteristics. Eight aspects of main research contents of saferesourcesology are given from different perspectives and levels. Ten basic principles of saferesourcesology are condensed from the fundamental level of the discipline. Typical research methods of saferesourcesology are summarized based on the interdisciplinary nature. The above research results have formed the core foundational theory and disciplinary framework of saferesourcesology, which has references and guides for the follow-up research of the specific contents of saferesourcesology and the acceleration of the formation of an independent new discipline of saferesourcesology.

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    Analysis of functional systems of MASS based on STPA-FCM model
    QIN Tingrong, ZHOU Xinjie, HE Xingjie, CHEN Weijiong
    China Safety Science Journal    2023, 33 (8): 8-14.   DOI: 10.16265/j.cnki.issn1003-3033.2023.08.1571
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    In order to analyze the failure mechanism among the functional systems of MASS and improve its navigational safety, STPA and FCM methods were combined to establish a failure analysis model of the functional systems of MASS. The control/feedback relationships of functional systems were modeled using the STPA method. 27 control relationships and 43 feedback relationships were identified. Potential unsafe control action(UCA) and their key causes were analyzed. Then, the FCM method was used to further construct the cognitive map of interaction relationships among functional systems. Finally, the relative failure probability of each functional system would be determined when the FCM reaches its steady state. The results indicate that the core functional systems are the power system, virtual captain system, dynamic positioning system and collision avoidance system, and their stability values account for 7.66%, 7.62%, 7.47% and 7.14%, respectively. Priority should be given to ensuring its reliability, stability, and safety.

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    Liquid nitrogen suppresses thermal runaway of lithium-ion battery modules under external heating and overcharge
    SHI Bobo, SHEN Wangzhaonan, WANG Zhi, RUAN Hui, LIU Hang
    China Safety Science Journal    2023, 33 (10): 129-136.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.0781
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    In order to inhibit the thermal runaway propagation of lithium-ion battery modules, a test system was constructed to reveal the inhibition effect of LN on thermal runaway propagation of lithium-ion battery modules under the conditions of external heating and overcharging. Results show that under external heating conditions, thermal runaway propagates from the battery immediately adjacent to the heating plate to both sides, with a total of 6 thermal runaway batteries. The temperature of the thermal runaway battery is reduced by more than 100 ℃ after LN injection under the same conditions, and the peak temperature is reduced by more than 70 ℃, with LN cooling efficiency of 42.9% and effective utilization of 4.1%, the thermal runaway is reduced to a lower degree of severity, and the propagation is blocked. When the position of the heating plate is changed so that the LN does not directly contact the thermal runaway battery, the cooling efficiency of LN is 18.3%. The effective utilization rate is only 2.1%, which is much lower than that of the contact group, while the thermal runaway battery is warmed back up to 207 ℃, LN cannot terminate the process of thermal runaway of the battery. LN achieves the optimal inhibition effect when directly contacting the thermal runaway battery. Under overcharging conditions, there are 7 thermal runaway batteries in the battery module, and the peak temperature exceeds 345 ℃. However, the LN injection group has no thermal runaway battery, the peak temperature of the battery is 127.4 ℃, and the cooling efficiency of LN is 41.7%. LN can terminate the thermal runaway process when the voltage of the battery module drops. This work is expected to provide a research reference for suppressing thermal runaway propagation in lithium-ion battery modules.

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    Risk zoo (III): cognitive mechanisms and paths of risk metaphors based on animal imagery
    TONG Ruipeng, HU Xiangyang, YUAN Jiacong, WANG Denghui
    China Safety Science Journal    2023, 33 (12): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2023.12.1309
    Abstract186)   HTML0)    PDF(pc) (1808KB)(6)       Save

    In order to explore the cognitive construction mechanism and role path of animal imagery in risk metaphors and to excavate the correlation property between animal imagery and risk types, the connotation of risk attributes in animal imagery was analyzed under the perspective of cognitive science. The cognitive mechanism of animal imagery was analyzed in terms of cognitive construction, cognitive process and cognitive thinking. The effectiveness of risk metaphors was explored in terms of their effects and transmission paths. The results show that risk metaphors use animal imagery to characterize the existence of different types of risks, and convey the conceptual structure of risk events through the structural transformation from animal spatial images to animal schematic imagery. As an important medium for risk knowledge dissemination, the process of risk metaphor dissemination is the result of the interaction between cultural field, knowledge field and practice field. Individuals understand and accept risk metaphor information according to the "skill-rule-knowledge" structure, and their behaviors and attitudes are changed towards the expected goal, so as to achieve the expected effect of risk metaphor and expand the means of risk perception and risk communication.

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    Influence of informal group safety atmosphere on safety behavior of construction workers
    ZHAO Hang, LIU Hongyong, ZHENG Junwei
    China Safety Science Journal    2023, 33 (10): 30-38.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.1408
    Abstract185)   HTML0)    PDF(pc) (2109KB)(20)       Save

    In order to explore the influence of informal group safety atmosphere on construction workers' behavior, based on existing literature, combined with interpersonal relationship theory and group dynamics theory, a mechanism model of informal group safety atmosphere and construction workers' safety behavior was established. Through questionnaire collection and screening, 465 valid questionnaires were obtained, and structural equation model (SEM) and Bootstrap method were used for empirical research and hypothesis testing. The results show that the safety atmosphere of informal groups significant positive effect on the safety behavior of construction workers. The spontaneous behavior norms of informal groups and the individual behavior intentions of construction workers play a significant mediating role between the safety atmosphere of informal groups and the safety behavior of construction workers. Judging from the results, reducing the accident rate in the construction industry should not be ignored for the formation of informal groups. In addition, attention should be paid to the norms of informal group behavior in the construction industry. The informal group should be actively guided to move closer to the formal group to change the incorrect behavior intention of individual construction workers, so as to further reduce the occurrence of accidents in the construction industry.

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    Research on fire image recognition based on scientific knowledge graph
    LI Hai, SUN Peng
    China Safety Science Journal    2023, 33 (10): 147-159.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.2088
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    In order to comprehensively analyze the development trend and research trends of image-based fire identification technology, and more accurately provide research direction for scientific research in the field of fire detection, the Web of Science existing literature data and scientific knowledge mapping software, Python-maplotlib library, etc., were used to quantitatively analyze the characteristics of international fire image research, such as the time of publication, the author, the organisation, and the highly cited articles. This paper started with an analysis of current research hotspots and frontier trends. The results show that the number of international fire image recognition research achievements shows a wavy upward trend. The research on fire image and its related fields in Europe and America is relatively deep, while that in China is relatively late. J Comp Neurol, Remote Sens Environment, Fire Safety J, J Geophys Res Atmos are representative journals that form a cooperative network of co-cited journals. The research focuses mainly on the deep learning model of fire image recognition, forest fire image and fire impact, and fire remote sensing image recognition algorithm. The research frontiers are mainly shown in four aspects: fire smoke detection based on deep learning, forest vegetation coverage and loss of burned areas, fire detection of coal mines, industrial heat sources, electric vehicles, and flame retardancy.

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    Causal analysis of construction safety accidents in hydropower projects based on unsupervised LDA
    CHEN Shu, SUN Mengwen, CHEN Yun, NIE Benwu, LI Zhi, LIU Wenzhuo
    China Safety Science Journal    2023, 33 (10): 79-85.   DOI: 10.16265/j.cnki.issn1003-3033.2023.10.1924
    Abstract181)   HTML0)    PDF(pc) (6276KB)(15)       Save

    To achieve the intelligent mining of causative factors in hydropower construction safety accident reports, 1 206 accident analysis reports were processed by using Jieba segmentation. Also, the TF-IDF (Term Frequency-Inverse Document Frequency) keyword processing algorithm for accident analysis text was proposed, which was used to determine word frequency weight and construct word vector of accident text. Furthermore, based on the TF-IDF features, the unsupervised LDA topic model was trained to extract accident topics and topic words. Finally, social network analysis was performed on the topic words to reveal the potential relationships among accidents elements and intelligently output the causes of hydropower engineering construction safety accidents. The results show that the LDA theme model can quickly dig out multiple accident data information effectively, and calculate five accident themes such as safety awareness, accident hazards and violation behaviors. Besides, the results of automatic cause analysis indicate that the most important causes of construction safety accidents in hydropower projects are violation of rules and regulations, failure to master safe operation techniques, material and equipment problems, violation of construction procedures and poor working environment. The behavior supervision of construction personnel should be strengthened, to improve the prevention ability of the main causes of accidents, which can effectively improve the safety control level of hydropower project construction.

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