Loading...

Table of Content

    28 August 2022, Volume 32 Issue 8
    Construction and application of "L-B" man-machine accident model
    DONG Longjun, ZHENG Rujian, DENG Sijia
    2022, 32(8):  1-8.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2125
    Asbtract ( 472 )   HTML ( 0)   PDF (2101KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve the safety of the production process, in-depth research on accidents with human error as the main and machine failure as the second was carried out. Based on Lawrence accident model (L), behavioral safety "2-4" model (B), trace intersection theory, and accident cumulative effect theory, combined with safety ergonomics and other related knowledge, "L-B" man-machine accident model was constructed, and the actual case was analyzed. The results show that the accident model includes seven stages: work stage, hidden danger stage, trigger stage, occurrence stage, emergency stage, calm stage and recovery stage, analyzes the causes of accidents from various angles and illustrates the development characteristics of accidents from the beginning of production activities to the occurrence of accidents later, which can provide a reference for enterprises to formulate safety measures.

    Research on influence of safety investment and technological innovation to economic benefits of extractive industry: threshold effect model
    SHI Gonglong, ZHANG Yaoyi, LI Hongxia, TIAN Shuicheng, WANG Qian
    2022, 32(8):  9-15.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1389
    Asbtract ( 311 )   HTML ( 0)   PDF (1770KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to strengthen enterprise safety management, improve economic benefits and optimize the safety investment structure, based on the perspective of safety accounting, taking the listed enterprises of mining industry from 2012 to 2019 as samples, a multiple regression model was applied to analyze of the impact of safety investment and technological innovation on economic benefits of mining enterprises. Then, the panel threshold regression model was constructed with technological innovation as the threshold value to further explore the relationships among them. The results show that there is a significant positive correlation between safety investment and economic benefits of enterprises, and technological innovation has a significant positive role in promoting economic benefits of enterprises. With technological innovation as the threshold value, there is a single threshold effect on the impact of safety investment on economic benefits. On both sides of the threshold, technological innovation positively promotes the positive impact of safety investment on economic benefits of enterprises, but the promotion intensity on the left side of the threshold is significantly greater than that on the right side.

    Study on accident risk perception bias based on emotion analysis
    ZHANG Yu, ZHAO Biliu, LIU Hongyong
    2022, 32(8):  16-22.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1730
    Asbtract ( 262 )   HTML ( 0)   PDF (2533KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to explore the public's risk perception of safety accidents, text mining technology was used to obtain accident micro-blog comment data, emotions like surprise and fear were identified by adopting BERT-RPC. Then, accident probability perception bias was measured by frequency surprise, and accident loss perception bias was measured by fear and loss surprise. Finally, influence of micro-blog form and content on risk perception was investigated by binary logic regression. The results show that the underestimation of safety accident risks is very common, and it is more serious in loss perception. The "capture-analysis" technology based on BERT-RPC model can monitor risk perception bias of the public in the whole network with high efficiency and low delay. Moreover, accident probability and loss in transportation industry are significantly underestimated, and so are the probability of general accidents and loss of major ones. While accident pictures and videos can help correct perception bias of accident loss, their effect on probability perception is limited. Accident reports in the early stage has the best correction effect on risk perception, and then in stages where survey results and people held accountable are announced.

    Safety leadership dimensions of enterprise managers: a Meta-analysis
    GONG Yunhua
    2022, 32(8):  23-28.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1493
    Asbtract ( 181 )   HTML ( 0)   PDF (1649KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to solve the problem that the dimensions of enterprise managers' safety leadership behavior were inconsistent, meta-analysis method was used in this paper to study the dimensions of managers' safety leadership behavior systematically. It was found that safety concern, safety control, safety coaching and safety incentive strongly correlated with employees' safety behavior or enterprise safety performance. Their correlation coefficients were 0.667, 0.564, 0.556 and 0.354 respectively. The relationship between safety policy and safety behavior or safety performance was weak, and the correlation coefficient was 0.148. The relationship between safety vision and safety behavior or safety performance was 0.09. Finally, it is determined that the dimensions of managers' safety leadership behavior are safety concern, safety control, safety guidance and safety incentive.

    Development and application of SCAP
    SHI Zhao, FU Gui, XIE Xuecai, TONG Wenqing, YUAN Chenhui, CHEN Yiran
    2022, 32(8):  29-36.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1918
    Asbtract ( 148 )   HTML ( 0)   PDF (8552KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to assess and develop safety culture in a better way, research status of safety culture evaluation tools was reviewed by briefly introducing evolution of safety culture and the role it played, and SCAP was designed and developed. Based on 24Model theoretically, SCAP was developed with a scale set according to 32 elements of safety culture and using Internet technology. Two login methods, web browser and wechat mini program, were provided by the system, which could be applied to any enterprise, university or individual who wanted to learn about state of security culture. After the assessment, basic information of evaluators could be clearly displayed, and results be output according to requirements of overall level, different types of employees, various safety culture elements, individual evaluation personnel. Finally, countermeasures and suggestions report could be generated through comparison with previous evaluation results. The application results show that SCAP is suitable for the whole industry, evaluation results, analysis and feedback can be immediately obtained after online questionnaire measurement, which could serve the development of safety culture.

    An ISM-BN based research on navigation risk factors of inland waterway vessels
    ZHAO Jianwei, XIE Lei, YANG Yang, HU Xinyuan, OU Changkui, ZENG Rong
    2022, 32(8):  37-44.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2009
    Asbtract ( 138 )   HTML ( 0)   PDF (7413KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To ensure the navigation safety of inland waterway vessels, the maritime accident reports of the Yangtze River in recent 5 years were collected manually, and the main data representing the frequency of risk factors were extracted. Combined with the accident investigation report, the risk factors are analyzed, and the evaluation index system of ship navigation risk is determined. The correlation modeling between risk factors was constructed by the ISM, and the hierarchical relationship between factors was obtained to determine the correlation between risk factors. The influence of various factors on maritime safety was studied by data-driven BN, and the model was verified by sensitivity analysis and previous accident records. The results show that the key risk factors involved in accident types include water location, ship type, maneuvering execution and channel conditions. The method proposed in this paper can identify the main risk factors of different accident types, and the average prediction accuracy of the risk model is 82.87%.

    Multi-objective optimization of surface settlement safety control during shield construction based on RF-NSGA-II
    WU Xianguo, FENG Zongbao, LIU Jun, WANG Lei, CHEN Hongyu, LI Xinyi
    2022, 32(8):  45-51.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2702
    Asbtract ( 136 )   HTML ( 0)   PDF (2245KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to effectively adjust construction parameters of shields, and to achieve safe construction, a multi-objective optimization model based on RF and NSGA-II algorithm was established, in which control analysis of construction parameters were optimized with main shield parameters as research object and ground settlement as control target. Then, nine shield parameters controlling surface settlement were selected as input indexes of RF prediction model, and nonlinear relationship between the parameters and settlement was obtained as NSGA-II fitness function. Then, cutter wear was selected as the second optimization objective, and constraint range of construction parameters was set for multi-objective optimization. Finally, with a rail transit project in karst areas as an example, verification was conducted. The results show that using RF algorithm in training and simulating measured data of the project will result in high prediction accuracy. And the proposed model based on RF-NSGA-II features significant multi-objective optimization effect of ground settlement and cutter head wear, and it can obtain control range of shield construction parameters in karst areas.

    Information security risk prediction model based on IIWPSO-BP from perspective of alliance chain
    ZHOU Xinmin, LUO Wenmin, LIU Junjie, XIE Bao
    2022, 32(8):  52-60.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2483
    Asbtract ( 216 )   HTML ( 0)   PDF (2866KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to find potential information security risks of smart cities in time, an information security risk prediction model was built based on IIWPSO algorithm optimized BP (IIWPSO-BP) neural network algorithm. Firstly, the information security risk index system was constructed by considering six aspects: information owner, shared information, alliance chain technology, information user, alliance chain management and security measures. Secondly, the information security risk prediction model was trained and tested by quantifying the information security risk index. Finally, the robustness, accuracy and time complexity of the model were compared and analyzed. The results show that the mean absolute error (MAE) of the IIWPSO-BP prediction model is 0.137 4, the mean relative error (MRE) is 0.038 5, and the fitting degree is 0.972 0. The prediction accuracy is improved by 37.6% and 65.2%, respectively, compared with the PSO-BP neural network and the BP neural network.

    Sequential characteristics of safety hazards in hydropower project construction based on complex networks
    CHEN Shu, ZHU Liping, CHEN Yun, ZHENG Xiazhong, JI Qin
    2022, 32(8):  61-66.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2315
    Asbtract ( 76 )   HTML ( 0)   PDF (9489KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve safety hazards management in hydropower project construction, nonlinear sequential characteristics of the hazards were analyzed, and a complex network model of the time series was built based on visual graph algorithm. Then, 3 160 hazard data of a hydropower station from 2016 to 2020 were mined, and parameters of the network's degree, degree distribution, power law index, clustering coefficient, diameter, average path length, etc. were calculated to reveal temporal characteristics of the hazards in the project construction. The results show that the discovery timing of the hazards in this project indicates obvious phased, scale-free and small-world evolutionary characteristics. As long intervals during the hazards will significantly undermine robustness performance of management in the whole project construction, controlling the few key time nodes can reduce risks in hydropower projects. It provides a theoretical method for further mining the prediction of sequential characteristics of safety hazards in hydropower project construction.

    Simulation study of subway emergency evacuation considering psychological latent variables of pedestrians
    WANG Lixiao, HAO Minxi, SUN Xiaohui
    2022, 32(8):  67-75.  doi:10.16265/j.cnki.issn1003-3033.2022.08.0307
    Asbtract ( 120 )   HTML ( 0)   PDF (6731KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to deepen understanding on internal mechanism of decision makers' exit selection behavior, a HCM was constructed by comprehensively considering psychological latent variables that affected pedestrian's exit decision-making, such as panic, safety awareness, and herd mentality. Then, it was compared with traditional model in terms of evacuation efficiency, and influence of different latent variables on the decision-making by changing weight coefficients of the variables. The results show that a certain degree of panic and herd mentality can help pedestrians choose a better route to evacuate, but excessive panic and blind obedience will reduce evacuation efficiency. Moreover, the higher environmental familiarity and safety awareness, the better evacuation there will be. However, along withe the increase of their coefficients, their influence on evacuation time will be reduced. A HCM that considers pedestrians' psychological latent variables can be more consistent with pedestrian exit selection behavior in reality, and can better reveal the nature of their decision-making in real scenes.

    Statistical analysis on dust explosion accidents in China from 2005 to 2020
    CHEN Gang, ZHANG Xiaolei, XU Shuai, MIAO Yongchun, YANG Wentao, GAO Jindong
    2022, 32(8):  76-83.  doi:10.16265/j.cnki.issn1003-3033.2022.08.0812
    Asbtract ( 222 )   HTML ( 0)   PDF (6949KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to further improve pertinence and effectiveness of dust explosion prevention in China, statistical researches on 67 dust explosion accidents from 2005 to 2020 were carried out, including year, region, dust type and enterprise scale, and their causes, workplaces and consequences were also studied before some preventive suggestions were put forward. The results show that metal, coal, grain and wood dust are the four main dust types that cause explosion. Number of such accidents in large and medium-sized enterprises is small, but the consequences are much more severe than those in small and micro-sized ones. And major causes of the 67 dust explosion accidents are individuals' illegal operation, imperfect ventilation and dust removal facilities, defects in safety design of equipment and facilities, and other safety accidents. In terms of sites, metal polishing workshop, dust removal system, underground mine and dust drying tower should be paid more attention to prevent explosion. Moreover, the dust types causing more than 10 deaths in explosion accidents are namely coal, metal and grain.

    Unified boundary determination method of pressure arch in tunnels and its spatial evolution characteristics
    AN Yonglin, LI Jiahao, LIU Wenjuan, ZHOU Jin, TAN Geyu
    2022, 32(8):  84-90.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1638
    Asbtract ( 130 )   HTML ( 0)   PDF (6328KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to analyse stability of surrounding rock after tunnel excavation, firstly, differences and similarities of inner and outer boundaries of pressure arch under different methods were investigated, and a unified method to determine arch boundaries was defined. Then, influence of different excavation methods on pressure arch was compared. Finally, a method to determine boundaries of three-dimensional pressure arch of the tunnel was proposed and evolution characteristics and shape of the arch were obtained under different excavation steps. The result shows as excavation step progresses, pressure arch gradually expands, which will be the smallest for Center Diaphragm(CD) method. The three-dimensional pressure arch range is smaller than that of two-dimensional one, and its shape gradually changes from a small trumpet due to spatial constraints of the tunnel face, while its height and width also gradually increase. During tunnel construction, segment process control can be achieved by adopting subsection excavation method, and space constraint of the tunnel face can be utilized to ensure safe construction.

    Invulnerability analysis for airport weighted networks before and after COVID-19
    GUO Jiuxia, YANG Zongxin, XIA Zhenghong, TANG Weizhen
    2022, 32(8):  91-97.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2624
    Asbtract ( 75 )   HTML ( 0)   PDF (2219KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve airport network's ability to cope with emergencies, topological characteristics of Chinese airport network before and after COVID-19 were analyzed based on complex network theory. And the network was weighted by using node strength, and an invulnerability assessment method was developed after identifying inflection points of loss fitting curves for weighted network characteristics metrics under different attack strategies. The results show that the topological structure of airport weighted network has no significant changes before and after the pandemic, but its connectivity is slightly sparse. And the airport network in China is much more vulnerable under different intentional attack strategies. When attack ratio reaches 8.6%, inflection point of loss fitting curves will appear, and relative loss of global network efficiency will amount to 24.39%, while reduction rate of the largest connected subgraph reaches 14.67%, and relative loss of average degree and average clustering coefficient is up to 76.87% and 68.84%, respectively. Moreover, loss of network efficiency and the largest connected subgraph reduction rate accelerates after inflection points, in which stage the network will be paralyzed.

    Flight rerouting planning considering travel time reliability
    LI Shanmei, XU Wei
    2022, 32(8):  98-103.  doi:10.16265/j.cnki.issn1003-3033.2022.08.0639
    Asbtract ( 63 )   HTML ( 0)   PDF (2899KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve effectiveness of flight re-routing planning, a principle of determining optimal path based on 95-percent reliability was proposed to ensure agreement between flight effectiveness and reliability. Firstly, re-routing planning model was constructed with the target of minimizing flight time. Secondly, a planning algorithm based on Monte Carlo simulation and improved genetic algorithm was developed, which considered flight time reliability. Finally, with the air route network in a region in North China as an example, simulation experiment was conducted. The results show that with consideration to the uncertainty of travel time, the proposed algorithm has increased the time slightly from previous 603 min to 627 min, but the reliability gets much better growing from 50% to 95%, which is beneficial for improving efficiency of flight re-routing.

    Test method of fractured area of rock slopes under blasting load
    WANG Zhide, LI Jie, WU Haigang, MA Zuyao
    2022, 32(8):  104-110.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1682
    Asbtract ( 76 )   HTML ( 0)   PDF (5710KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve safety of open pit mines during blasting, a determination method of rock blast fracture area was proposed based on embedded test rod. Selection method of test rod material was determined based on propagation theory of explosion stress wave through structural plane and research results of existing explosion rupture gap area, and manufacturing steps and test procedures were provided. Then, blasting test was carried out on site, and range of blasting gap was obtained according to fracture range of test rods, and test results were verified by theoretical analysis method, numerical analysis, and on-site vibration velocity monitoring method. The results show that it is theoretically feasible to obtain fracture area of blasted rock by using embedded test rod, and the maximum horizontal radius of rock slope fracture zone under 10 kg blasting load is 2.95 m. At the same time, the relative errors of three methods and results obtained by field test are less than 24.8%, 18% and 4% respectively.

    Summary of underground hidden coal spontaneous combustion fire source detection methods and prospect of new technologies
    GUO Jun, LIU Hua, JIN Yan, CAI Guobin, LIU Yin, YANG Panpan
    2022, 32(8):  111-119.  doi:10.16265/j.cnki.issn1003-3033.2022.08.0296
    Asbtract ( 77 )   HTML ( 0)   PDF (11772KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to accurately identify the location and scope of underground hidden high-temperature fire areas, research and development status of the hidden fire source detection technology in coal mines were analyzed based on principles and application overview of current commonly used detection methods (such as thermal infrared detection method, resistivity method, gas detection method, radon measurement method and mathematical understanding algorithm, etc.) and advantages and disadvantages of these detection techniques were compared. The results show that although existing conventional detection methods may detect and delineate hidden fire locations in mined-out areas of coal mines, it is difficult to accurately determine the location and degree of coal spontaneous combustion due to severe impacts of actual environmental factors. Acoustic temperature measurement method, as a mature and effective technology, has been widely used in fields of atmosphere, ocean, and blast furnace temperature measurement. Driven by the concept of cross-discipline integration, and given the demand for hidden fire source detection in goaf, exploring reconstruction method of coal temperature field based on acoustic method will provide new perspectives for the development of precise hidden fire source detection technologies.

    Effect of initial pressures on lower explosion limits of syngas
    SHANG Rongxue, ZHUANG Zixuan, YANG Yue, NIU Jiangyu, LI Gang
    2022, 32(8):  120-125.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1555
    Asbtract ( 70 )   HTML ( 0)   PDF (1660KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    The lower explosion limit (LEL) of syngas under different initial pressures was measured by 8 L cylindrical explosion tank. The effect of initial pressure on the near-low limit combustion of syngas was simulated by Chemkin-Pro software, and the applicability of Le Chatelier (L-C) calculation formula, quadratic polynomial, linear and logarithmic function fitting relationship to the LEL of pressurized syngas with wide hydrogen content ratio was checked. The experimental results show that the LEL of syngas decreases with the increase of H2 content ratio, and decreases linearly with the increase of initial pressure. Under the high pressure condition, the mole fraction of H radical and OH radical changed, resulting in the change of the sensitivity coefficient of important branched-chain reactions such as H+O2=O+OH, which further reduced the LEL of syngas. Compared with the L-C calculation formula, the quadratic polynomial is more accurate in estimating the LEL of syngas under high pressure. Furthermore, the linear function relationship can accurately calculate the syngas LEL under different initial pressures.

    Safety analysis for remote control system of inland ships
    ZHANG Puzhe, WU Bing, YAN Xinping, YIP Tszleung
    2022, 32(8):  126-132.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1069
    Asbtract ( 71 )   HTML ( 0)   PDF (5011KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve navigation safety of inland remotely-controlled ships, a remote control structure was proposed for inland ships at different levels of autonomy (remote control and remote supervise) and manning on board, and safety analysis was carried out by using STPA approach. From such analysis, 13 types of system-level hazards were identified, 47 UCA were recognized, and 49 safety strategies were designed to mitigate UCA. Then, they were applied to prototype development for remote control system of 7 m model ship in Tangxun lake. The results indicate that when autonomy level of remotely-controlled ships is improved, number of effective safety strategies will increase, and system safety will be enhanced. And when there are crews on board, number of most effective safety strategies will increase significantly, and safety of system will increase, but risks caused by human errors will also grow.

    Numerical simulation method of liquid nitrogen fire extinguishing in underground pipe gallery based on Fluent
    ZHANG Zhiwei, ZHANG Guowei, ZHU Guoqing, YUAN Diping, GUO Dong
    2022, 32(8):  133-139.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1891
    Asbtract ( 84 )   HTML ( 0)   PDF (3429KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to better study the fire extinguishing characteristics of liquid nitrogen, a numerical simulation method of liquid nitrogen fire extinguishing in underground pipe gallery based on Fluent software was proposed and its applicability was studied. First of all, a scaled test platform for liquid nitrogen fire extinguishing of underground pipe gallery was built, and the liquid nitrogen fire extinguishing test was carried out by changing the direction and distance of the nitrogen injection, so as to obtain the input parameters and verification data required for the numerical simulation. Then, the numerical simulation method based on Fluent software was determined, and the corresponding numerical simulation was carried out, and the results were compared. The research results show that the numerical simulation results are in good agreement with the test data. And the variation trend of temperature at different positions of the pipe gallery roof is consistent with the test, and the minimum error is about 4.7%. The simulation effect of the O2 volume fraction at the bottom of the pipe gallery is related to the nitrogen injection distance, the closer the nitrogen injection distance is, the better the simulation effect is. The minimum error is 0.3%,and the maximum error is 15.3%。

    Evaluation on driving scenarios for safety of intended functionality of intelligent vehicles
    LUO Qirui, ZHANG Daowen, ZHOU Hua, PANG Shaorong, LI Xiaoyan, WANG Chaojian
    2022, 32(8):  140-145.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1768
    Asbtract ( 69 )   HTML ( 0)   PDF (6972KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    Safety of intended functionality of intelligent vehicles was directly affected by their sensing ability of driving scenarios. In order to evaluate scenarios accurately and reliably from a perceptual level, a new evaluation method was proposed. By using fuzzy reasoning and based on analysis of scenarios and elements, fuzzy judgment of scenarios was made from a perspective of drivers' perception, and their fuzzy level was established before correlation between scenario factors was developed by utilizing fuzzy relationship. Then, evaluation value was calculated according to decision function. In the end, rationality of the evaluation method was verified. The results show that this method could achieve a comprehensive understanding of scenarios by integrating driver's perception of them, thus proving to be feasible in scenario evaluation.

    Risk assessment of ventilation system in coal mines based on DS theory and Bayesian network
    LI Jinrong, YANG Yuzhong
    2022, 32(8):  146-153.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1633
    Asbtract ( 85 )   HTML ( 0)   PDF (4864KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to evaluate risk level of ventilation system in coal mines, firstly, an assessment index system was established with 16 main indicators from perspectives of human, equipment, environment and management according to characteristics of ventilation system, and related literatures and technical standards. Then, DS theory-Bayesian network model that could achieve information fusion was introduced to establish a risk assessment model. Finally, with actual investigation data from a coal mine in Henan province as an example, index weight and risk probability were calculated, and its risk level and sensitive indicators were obtained through risk reasoning and sensitivity analysis. The results show that the ventilation system is at a general risk level, and its sensitivity indicators include disrepair rate of ventilation laneway, percentage of return air resistance, average length of service and efficiency of main ventilation fan.

    Research on communication efficiency of resident emergency knowledge embedded in social network
    QIAN Hongwei, LI Xin, LI Xiteng, WANG Yan
    2022, 32(8):  154-160.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2806
    Asbtract ( 58 )   HTML ( 0)   PDF (4354KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve the efficiency of emergency knowledge in interpersonal communication, questionnaire and social network analysis were used on rural residents, and UCINET6.645 software was used to analyze the node's degree centrality, eigenvector centrality, betweenness centrality and the density of the emergency knowledge network transmission among residents from the perspective of interpersonal communication. Based on this, the emergency knowledge dissemination efficiency and its network structure were studied. The results show that: the emergency knowledge dissemination network of rural residents is sparse, and the awareness of interpersonal emergency knowledge communication needs to be improved. Residents with great influence on others in the network play an important role in the emergency knowledge dissemination network. Key residents can be used to promote the dissemination of emergency knowledge and culture.

    Evaluation of station importance and cascading failure resistance analysis of urban rail transit network
    YANG Jingfeng, ZHU Dapeng, ZHAO Ruilin
    2022, 32(8):  161-167.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1148
    Asbtract ( 89 )   HTML ( 0)   PDF (6256KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to ensure stability of URTN in the event of emergencies, its topology and invulnerability were studied based on theory of complex networks. Firstly, topological structure model of URTN in three major cities of Beijing, Shanghai, and Shenzhen were constructed by using Space L method, and their topological characteristics were compared and analyzed. Secondly, comprehensive evaluation indexes of importance were developed considering station degree centrality and betweenness centrality so as identify key stations of URTN. Finally, a cascade failure model was established, simulation algorithm was designed, and cascade failure resistance of URTN under different attack strategies were quantitatively analyzed. The results show that regardless of whether there is cascade failure, URTN is more resilient to random attacks than deliberate attacks, while for the URTN which considers stations load redistribution in the case of cascading failure is more vulnerable. The cascading failure due to key station failures has a wider range of influence on the network, and the overall damage it causes is greater.

    Influence analysis on typhoon characteristic parameters on probability calculation of disaster chain
    YU Qiang, HUANG Yicheng, SHA Ce
    2022, 32(8):  168-175.  doi:10.16265/j.cnki.issn1003-3033.2022.08.0852
    Asbtract ( 34 )   HTML ( 0)   PDF (12577KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to accurately predict impact probability of typhoon characteristic parameters on each disaster in the disaster chain, a probability calculation model of the chain was constructed by using unbalanced sample processing algorithm and accident tree theory. Then, impact between different disasters was weighted, and impact probability between them was obtained by utilizing relationship matrix. Finally, occurrence probability of specific disasters was derived based on calculation model. The results show that changes in typhoon characteristic parameters will lead to changes in calculated probability of primary and secondary disasters in the chain. The higher the wind scale of typhoon is, the greater impact on primary disaster probability will be than on that of secondary ones. Moreover, changes of typhoon track mainly affect types of disasters, and according calculation results, the more typhoon track faces inland area, the more kinds of disasters will appear. The increase in number of typhoons will significantly increase the model's iteration steps to calculate disaster probability

    Resilience assessment of highway bridge networks subjected to both earthquakes and earthquake-induced secondary emergencies
    LIU Zhenliang, YUAN Wei, LI Suchao
    2022, 32(8):  176-184.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1457
    Asbtract ( 48 )   HTML ( 0)   PDF (14428KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to clarify the effects of earthquakes and EISE on resilience of highway bridge networks, a resilience analysis method was proposed, which considered factors like regional seismic hazards, characteristics of EISE, structural fragility of bridges and traffic characteristics, etc. Subsequently, response mechanism to EISE was analyzed, based on which EISE influence model on highway bridge network was established, and a method to analyze the network state under influence of both earthquakes and EISE was proposed. Finally, several resilience indexes were developed, and verification was conducted on a highway bridge network in San Francisco, California subjected to both earthquakes and EISE effect. The results show that compared with individual bridges, the performance of bridge network was influenced by interaction between earthquake motion and EISE, including not only the intensity, but also locations of earthquakes. And the proposed methodology can assess resilience of bridge networks against EIES.

    Research progress and prospect of emergency management based on CNKI and CiteSpace
    YUN Xiaopeng
    2022, 32(8):  185-193.  doi:10.16265/j.cnki.issn1003-3033.2022.08.2304
    Asbtract ( 77 )   HTML ( 0)   PDF (6722KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to clarify the research hotspots and frontiers in the field of emergency management, this paper adopts the methods of knowledge map visualization and bibliometrics, uses the existing literature data of CNKI and CiteSpace software, quantitatively analyzes the characteristics of domestic emergency management research, such as publishing time, journals, authors, research institutions, highly cited literature, etc., and reveals the research hotspots and frontier trends of emergency management from the aspects of keyword topic path knowledge map, keyword clustering and emergent word extraction. The results show that domestic studies on emergency management have been conducted by a stable group of authors and research institutions, and the cooperation between institutions is stable, but the core author group has not yet formed, and there is a lack of cross-disciplinary cooperation. Emergency management research has gone through three stages, which is germination, rapid development and research quality improvement. Public health emergencies, environmental emergency management, public emergencies, emergency logistics, unconventional emergency response, big data research and geographic information system are the main research hotspots. While frontier research focuses on big data, emergency decision-making, smart cities, emergency management departments, national governance, and resilient cities.

    Research on structural dynamic response characteristic of capping stack landed guiding system
    ZHU Jingyu, CHEN Guoming, LIU Kang, ZHAO Yipei
    2022, 32(8):  194-200.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1678
    Asbtract ( 70 )   HTML ( 0)   PDF (3064KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to solve the problems of large lateral deviation and difficulty to be smoothly landed and installed of deep subsea capping stack, the operation mode based on the land of guiding system. is proposed. A coupling dynamic model of the platform, steering frame, capping stack system was established with nonlinear time domain finite element software OrcaFlex. The structural dynamic response characteristics of land guiding systems was explored, and the influence of sea surface velocity, direction, the device weight and other parameters on the land and installation process of the system was analyzed. The calculation results of the example show that the maximum lateral deviation of the guiding system is 3.68 m and the rotation angle of the capping stack is less than 1° in the whole land and installation process, which verifies that the guiding system has a strong constraint on landing. Meanwhile, the structural strength of the checked guiding system meets the requirements of safe operation. The sea surface velocity and the capping stack weight have an obvious influence on the stress of the landing drill pipe, while the direction of the sea current has a great influence on the contact force of the guide frame in the splash zone. But all of these don't affect the smooth land and installation of capping stack.

    Research on multi-factor-modified workload evaluation model of replenishment operation and its simulation
    CHEN Changhua, XU Shuaishuai, JIANG Yuxiang, YANG Xiaojie, XIONG Guanghui
    2022, 32(8):  201-207.  doi:10.16265/j.cnki.issn1003-3033.2022.08.1308
    Asbtract ( 44 )   HTML ( 0)   PDF (4724KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve accuracy of workload assessment and prevent WMSDs caused by fatigue of replenishment operation workers, a multi-factor-modified workload evaluation method based on energy consumption model was proposed. The replenishment operation was divided into handling operation cycle, opening box activity and restocking shelves operation cycle, and an energy consumption model suitable for replenishment was built. Then, with energy consumption and working time as main measurement indexes, oxygen consumption, working posture and ergonomics index of lower back were introduced as correction factors, and a workload assessment model was established. Finally, the model's effectiveness and accuracy were verified through the case of Jack digital human simulation. The results show that compared with workload evaluation that only considers energy consumption and operation time, the proposed one is closer to actual situation, and is more helpful to prevent WMSDs in replenishment operation as multi-ergonomic factors can correct assessment results. Moreover, energy consumption and workload are significantly affected by quantity of replenishment and shelving.