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China Safety Science Journal    2025, 35 (8): 272-272.   Abstract （696）   HTML （0）    PDF（pc） （2008KB）（0）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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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 （482）   HTML （2）    PDF（pc） （2249KB）（33）       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）

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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 （424）   HTML （2）    PDF（pc） （1948KB）（22）       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）

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China Safety Science Journal    2025, 35 (10): 247-247.   Abstract （419）   HTML （0）    PDF（pc） （2383KB）（0）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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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 （410）   HTML （1）    PDF（pc） （6248KB）（6）       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）

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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 （389）   HTML （1）    PDF（pc） （3234KB）（17）       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）

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Work safety solution for China's chemical (hazardous chemicals) enterprise WANG Haoshui China Safety Science Journal    2025, 35 (5): 16-22.   DOI: 10.16265/j.cnki.issn1003-3033.2025.05.0097 Abstract （382）   HTML （3）    PDF（pc） （1938KB）（22）       Knowledge map    Save In order to improve the work safety management level of China's chemical (hazardous chemicals) industry, firstly, the formation of chemical process safety management was expounded, including the traditional management method and the proposal of process safety concept. Then, the characteristics and specific content of the elements of the chemical process management elements system in China were analyzed, including 8 modules and 20 elements. Finally, a systematic solution was proposed, that was, four-element solution with safety leadership, management barrier (responsibility, equipment, management and capability), and safety culture as the primary-level elements. The results show that core elements of four-element solution are the concept, safety leadership, management barrier (responsibility, equipment, management, capability) and safety culture. Among them, safety leadership is the most critical element, leading the concept into practice, responsibility division, equipment upgrading, management system construction, capability improvement and culture cultivation. Other elements together constitute the skeleton of work safety management, and realize systematization. Businesses can help prevent accidents and improve the overall safety level of the industry by taking the lead and promoting the implementation of various elements through participation of all staff. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Text mining of causes of hot working accidents based on 24Model NIU Maohui, LI Weijun, LIU Yin, WANG Lu China Safety Science Journal    2025, 35 (3): 151-158.   DOI: 10.16265/j.cnki.issn1003-3033.2025.03.0757 Abstract （380）   HTML （1）    PDF（pc） （5524KB）（19）       Knowledge map    Save In order to systematically explore the root causes of industrial hot work accidents through a large amount of text data, a text mining method based on 24Model was proposed. Firstly, 220 hot work accident reports were collected and sorted as datasets, and a 24Model classifier based on Bidirectional Encoder Representations from Transformers (BERT) was constructed. The pre-trained model was used to train and evaluate the accident report dataset to construct a classification model. Then, through the combination weight of the Keyword extraction algorithm based on BERT (KeyBERT) and Term Frequency-Inverse Document Frequency (TF-IDF) algorithms, combined with the 24Model framework, a keyword index system for hot work accident text was established. Finally, the interrelationships between accident causes were obtained through the analysis of the network co-occurrence relationship between text-mining keywords. The results show that the BERT-based 24Model classifier model can systematically and accurately determine the causative categories of hot work accidents. The weight of the safety management system was the largest among the 4-level keyword index systems obtained through the combination of weights. Furthermore, 7 key causative factors of hot work accidents were obtained by combining them with the co-occurrence network analysis. This shows that 24Model can strengthen the interpretability of text mining results, which provides an important reference for the prevention and management of hot work accidents. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Influence mechanism of psychological fatigue on unsafe behaviors of construction workers YAN Haoran, LI Ming, XU Xia, JIANG Xiangting China Safety Science Journal    2025, 35 (7): 15-21.   DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1461 Abstract （362）   HTML （0）    PDF（pc） （6117KB）（7）       Knowledge map    Save To reduce the negative impact of psychological fatigue on construction workers' safety, the relationship between psychological fatigue and UB and their underlying mechanisms were investigated. First, based on the characteristics of construction workers and literature review, psychological fatigue was divided into three dimensions: reduced motivation (RM), cognitive weakness (CW), and emotional exhaustion (EE). Secondly, based on protection motivation theory (PMT) and Conservation of Resources Theory (COR), HP was introduced as a mediating variable and SS was introduced as a moderating variable. Finally, Structural Equation Modeling and hierarchical regression analysis were used to explore the mechanism through which psychological fatigue affects construction workers' UB. The results show that psychological fatigue is found to have a significantly positive impact on UB through the three dimensions of RM, CW, and EE; HP is identified to partially mediate the relationship between psychological fatigue and UB. Both the direct effect of psychological fatigue on UB and the mediating role of HP between them are moderated by SS. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on tunnel fire detection based on improved YOLOv8s model WANG Chunyuan, LIU Quanjie China Safety Science Journal    2025, 35 (3): 69-76.   DOI: 10.16265/j.cnki.issn1003-3033.2025.03.1181 Abstract （360）   HTML （0）    PDF（pc） （10193KB）（32）       Knowledge map    Save To accurately and efficiently detect fires in complex tunnel environments, an enhanced YOLOv8s-based tunnel fire detection algorithm was proposed. Firstly, the Cross-Stage Partial Transformer Block (CSP-PTB) module was introduced to reconstruct the backbone network structure, thereby reducing computational complexity while preserving feature extraction capabilities. Secondly, CBAM was integrated to enhance the perception of the model of key areas and improve the discriminative power of feature representation. Finally, the Normalized Wasserstein Distance (NWD) loss function was employed to optimize the training process, effectively addressing the issue of insufficient detection accuracy for small targets. Experimental results demonstrate that the improved YOLOv8s model achieves a mean average precision (mAP) of 0.848, representing a 2% improvement over the original YOLOv8s model. The recall rate reachs 0.812, marking a significant increase of 9.3% compared to the original model. Additionally, the computational cost (GFLOPS) of the improved model is reduced by 6.7%, achieving dual objectives of performance enhancement and efficiency optimization. Compared with mainstream object detection models such as Faster R-CNN(Faster Region-based Convolutional Neural Network), SSD(Single Shot MultiBox Detector), and YOLOv5s, the improved model exhibits superior performance, with mAP improvements of 7.3%, 10.1%, and 4.2%, respectively, thus meeting the stringent requirements for tunnel fire detection. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Tunnel initial fire detection method based on improved YOLOX algorithm MA Qinglu, QIU Gaojian, BAI Feng China Safety Science Journal    2025, 35 (4): 28-34.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.0960 Abstract （346）   HTML （3）    PDF（pc） （8534KB）（35）       Knowledge map    Save To address the issues of complex environmental interference and low recognition rates in early-stage tunnel fire detection, an improved YOLOX-based detection method, YOLOX-T, was proposed. The proposed method incorporated a NAM into the YOLOX network to suppress environmental noise and interference, thereby enhancing the model's robustness. A weighted BiFPN was integrated to improve multi-scale feature extraction and fusion. Furthermore, an α-IoU(Intersection over Union) loss function was employed to enhance the detection accuracy of early-stage tunnel smoke and flames, which often exhibit indistinct contours. Addressing the scarcity of publicly available datasets, a tunnel fire dataset encompassing both real-world and simulated scenarios was constructed through web data acquisition, simulated fire experiments, and the augmentation of existing datasets. Experimental results on the self-built dataset demonstrate that, compared to the original YOLOX model, the YOLOX-T method achieves improvements of 1.89% in mean Average Precision (mAP@0.5), 0.88% in mAP@0.5~0.95, 4.57% in precision, and 5.45% in recall. The improved algorithm can achieve better detection performance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review of emergency supplies scheduling based on bibliometric analysis YANG Qian, WANG Feiyue, WANG Zihuan, MA Bo, LU Jiajie China Safety Science Journal    2025, 35 (3): 232-241.   DOI: 10.16265/j.cnki.issn1003-3033.2025.03.0680 Abstract （344）   HTML （0）    PDF（pc） （14567KB）（23）       Knowledge map    Save To investigate the research dynamics, hotspots, and frontier trends in the field of emergency supplies scheduling, the data sources of China National Knowledge Infrastructure (CNKI) and Web of Science(WoS) were used to search and filter 321 Chinese and 497 English articles. The bibliometric and knowledge mapping software were used to conduct basic feature analysis and development trend analysis. The results show that the number of articles in the field of emergency supplies scheduling both domestically and internationally has a wavy growth. The overall research is in the rapid development stage. In domestic core author teams, there is relatively low collaboration density. While in international contexts, cross-national and cross-regional academic exchanges are frequent, with China, Canada, and Singapore serving as the core. The research focus of both domestic and international studies is basically the same, mainly revolving around model design, optimization algorithms, path location issues, etc. However, international research has been earlier and more in-depth in studying the psychological perception of disaster victims. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A review of technology development of large language model and knowledge graph in field of construction safety ZHAO Rongyong, PENG Xingzhu, WEI Bingyu, ZENG Guoyi, LIU Fengnian, YAN Peng China Safety Science Journal    2025, 35 (12): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.12.0044 Abstract （339）   HTML （0）    PDF（pc） （3912KB）（0）       Knowledge map    Save In order to clarify the potential research value and application prospects of LLMs and KG technologies in the field of construction safety, the existing problems in the knowledge-driven digital transformation of this domain were comprehensively analyzed, and the current state of technological development regarding knowledge graphs and large language models within it was reviewed. First, relevant literature was retrieved from the China National Knowledge Infrastructure (CNKI) and Web of Science(WoS) databases to define the scope of analysis. Then, the existing problems and challenges in the digital transformation of construction safety were analyzed, and the necessity of introducing KG and LLM was elaborated. Subsequently, the technological development of KG and LLM, along with the current status of their application research in construction safety, was briefly described. Preliminary achievements in the integrated application of KG and LLM within the construction safety domain were explored. Finally, the shortcomings of existing research were summarized, and future research directions are outlined. The results indicate that LLMs and KG technologies have demonstrated significant application potential in various scenarios within construction safety, including knowledge management, risk identification, and intelligent decision-making, highlighting considerable prospects for future implementation. However, current research still faces challenges such as a lack of real-time capabilities and insufficient integration. Future efforts should focus on establishing comprehensive and precise construction safety KG and exploring novel approaches for the integrated application of LLM and KG. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Efficacy evaluation of fire communication command system based on IPSO-BP YU Zhenjiang China Safety Science Journal    2025, 35 (9): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1418 Abstract （333）   HTML （0）    PDF（pc） （6324KB）（0）       Knowledge map    Save This study provides quantitative support for analyzing current fire communication command systems and enabling their iterative upgrades. A four-level efficacy evaluation index system for brigade-level fire command communication systems was constructed, based on fire communication command system design specifications. This system assessed three key dimensions: operational support capability, data service capability, and communication assurance capability. An IPSO-BP-based system efficacy evaluation method was proposed, building upon BP neural network algorithm. Parameters were optimized using IPSO algorithm. Sample data were acquired through a combination of expert scoring and the Analytic Hierarchy Process (AHP). Principal Component Analysis (PCA) was applied for dimensionality reduction. Simulation comparisons were conducted using three distinct models: BP neural network, PSO-BP neural network, and IPSO-BP neural network. Results demonstrate that IPSO-BP neural network model achieves the fastest convergence speed. Its mean square error decreases by 75.71% compared to BP neural network model and by 45.96% compared to PSO-BP neural network model, representing the lowest error value among the three models. Furthermore, IPSO-BP model reasonably and accurately evaluates brigade-level fire communication command system efficacy, demonstrating considerable generalizability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Airport flight zone operational safety resilience assessment and enhancement WANG Xinglong, QIU Xin, ZHAO Junni China Safety Science Journal    2025, 35 (4): 18-27.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1005 Abstract （329）   HTML （1）    PDF（pc） （4486KB）（13）       Knowledge map    Save In order to reduce the risks associated with the continuous growth of airport flight area size and flight volume, the safety resilience assessment of airport flight areas was carried out. First, risk factors were identified by analyzing the historical data of airport flight zones. Second, key risk factor weights were quantified, and a SD-based safety resilience assessment model for airport flight zones was constructed to propose safety resilience indicators. Then, the safety resilience of airport flight zones was assessed through simulation analysis, and targeted enhancement strategies were proposed. Finally, a large domestic airport flight area was taken as the research object to assess its safety resilience. The results show that among the personnel factors, the performance of the flight crew has the greatest impact on the level of operational safety resilience. By controlling the flow in the controlled airspace, enhancing safety awareness and increasing management inputs, the operational safety resilience of the flight area is improved by 9.11%. Among the environmental, equipment and management factors, the degree of improvement of the equipment updating mechanism has the greatest impact on the operational safety resilience level. By accelerating the frequency of equipment renewal, improving equipment deficiencies and increasing management inputs, the operational safety resilience of the flight area is increased by 21.49%. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Theoretical logic and four-dimensional pathways for emergency management discipline construction from perspective of value co-creation TAN Shuang, BI Lingfei China Safety Science Journal    2025, 35 (11): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.1293 Abstract （328）   HTML （0）    PDF（pc） （3999KB）（0）       Knowledge map    Save To explore innovative pathways for the development of emergency management discipline and address its current bottlenecks, this study systematized the theoretical logic of emergency management discipline construction based on value co-creation theory and designed a four-dimensional framework encompassing goal optimization, community building, full-process value co-creation, and technological empowerment. The results indicate that China's emergency management discipline construction currently faces challenges including fragmented value cognition, insufficient stakeholder coordination, unbalanced resource allocation, and superficial technological empowerment. An integrated theoretical framework incorporating value coupling, community construction, full-process co-creation, and technological empowerment can be constructed to guide disciplinary practice. Applying value co-creation theory can address deep-seated contradictions in discipline construction, thereby promoting its transformation from fragmentation toward systematization. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Safety risk dynamic evaluation of fireworks production enterprises WANG Feiyue, WANG Xinyu, ZHANG Wenjun, LIU Hui China Safety Science Journal    2025, 35 (3): 10-18.   DOI: 10.16265/j.cnki.issn1003-3033.2025.03.0761 Abstract （314）   HTML （1）    PDF（pc） （2050KB）（20）       Knowledge map    Save To reduce the safety risk of fireworks production enterprises and eliminate the subjectivity and static limitations of the current safety evaluation mechanism, an evaluation indicator system of the safety risk for firework production enterprise was constructed based on the grounded theory (GT). The evaluation values and weights of the evaluation indicators were calculated by applying the frequency-based Analytic Network Process-Back Propagation Neuron Network (ANP-BPNN) model. The dynamic evaluation of the safety risk level of firework production enterprise was achieved based on SD, and verified with an enterprise involved in a major fireworks explosion accident of fireworks. The results show that the dynamic evaluation model of safety risk for fireworks production enterprises can accurately capture the development trend of the safety risk. The interval between safety risk evaluations of fireworks production enterprises is flexibly adjusted based on predicted time for safety risk level to reach the higher risk. The continuous dynamic evaluation of safety risk can ensure that the enterprise always maintains a safe production state. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Classification and recognition of unsafe behaviors of tobacco warehouse personnel based on improved YOLOv11 KE Wei, ZHU Quanjie, CHEN Changmao, WU Chengyi, LIU Yan, ZHANG Yanlin China Safety Science Journal    2025, 35 (3): 36-44.   DOI: 10.16265/j.cnki.issn1003-3033.2025.03.1598 Abstract （308）   HTML （2）    PDF（pc） （17701KB）（14）       Knowledge map    Save To ensure the safety of personnel and property within the storage environment, the traditional YOLOv11 object detection algorithm was improved, and a method and model to identify unsafe behaviors of personnel in the complex environment of tobacco warehouses were proposed. First, a statistical analysis of common unsafe behavior types in tobacco storage was conducted, and the classification of unsafe behaviors of warehouse personnel was explored, including item-related, action-related, and area-related unsafe behaviors. Second, based on the characteristics of unsafe behaviors of warehouse personnel, a dataset augmentation and denoising preprocessing approach was proposed to enhance fine-grained feature extraction, and introduced to improve the saliency mapping of personnel behaviors. Then, the YOLOv11 algorithm was improved through functional enhancement modules and K-means++ anchor box optimization, and a fast detection method for unsafe behaviors of tobacco warehouse personnel was proposed. Finally, the proposed method's effectiveness was validated by comparing with self-built datasets and the open Microsoft COCO dataset. The results show that the method can quickly and effectively identify unsafe behaviors of warehouse personnel, with a significant improvement in recognition accuracy compared to traditional methods(accuracy rate is 94.91% and 88.69% respectively). Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Numerical simulation of CO2 injection for fire prevention in a goaf affected by normal fault influence ZHANG Jiayong, LYU Zuxin, CUI Xiao, GUO Liwen, WU Jianguo, FU Jingbin China Safety Science Journal    2025, 35 (4): 9-17.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1231 Abstract （303）   HTML （0）    PDF（pc） （12898KB）（11）       Knowledge map    Save To address the issue of natural coal ignition in goaf under normal fault geological structures, the oxygen consumption rate and heat release intensity of coal samples were measured using a temperature-programmed oxidation device. Based on a porous media model of the goaf and the gas component transport equation, a numerical model for CO2 injection via side pressure into the goaf influenced by normal faults was established. The numerical model was used to simulate the mechanism by which the variation in the distance between the working face and the fault affects the width of spontaneous combustion oxidation band in the goaf, and analyze gas migration characteristics under different CO2 injection locations and flow rates. The results indicate that as the distance between the working face and the fault increases, the width of the oxidation band initially increases and then decreases, reaching a maximum width at 70 m from the fault. With the increase of CO2 injection depth, the oxidation band width initially decreases and then increases again, reaching a minimum width when the CO2 injection position is 40 m from the working face. Furthermore, with the increase of CO2 injection volume, the width of the oxidation band width decreases following a negative exponential trend. When the CO2 injection rate is 1000m3/h and CO2 volume fraction at the working face is below 0.4% for safety, width of the oxidation band reaches its minimum. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Forest fire safety detection and personnel evacuation based on collaborative MUAVs GENG Peng, YANG Haojie, XUE Fanglin, LIU Yan China Safety Science Journal    2025, 35 (4): 43-50.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.0958 Abstract （302）   HTML （1）    PDF（pc） （12361KB）（14）       Knowledge map    Save To address the current challenges of lacking unmanned detection systems amid frequent forest fires and inefficient personnel evacuation during uncontrolled fire scenarios, this article proposes a forest fire safety detection method based on collaborativeMUAVs and an optimized shelter location strategy. A dynamic forest fire spread model coupled with multiple influencing factors is developed on the NetLogo platform. MUAVscollaborative search mechanism, grounded in an improved ant colony algorithm, is enhanced by introducing attractive pheromones (guiding searches toward fire clusters) and repellent pheromones (avoiding redundant paths), thereby optimizing the transfer probability of unmanned aerial vehicle (UAV) flight directions. Additionally, a flight model incorporating obstacle avoidance and water-carrying capacity-speed constraints was established. A dynamic evacuation simulation environment was constructed using geographic information system (GIS) data from Rhodes Island, Greece. Experimental results demonstrate that the improved ant colony algorithm reduces convergence time by 15% and 14% under 50% and 60% tree density scenarios, respectively, while search coverage increases by 35.02% and 32.16%. Furthermore, optimized shelter placement combined with the A* algorithm-based evacuation strategy reduces the overall mortality rate by 2.525%. Table and Figures | Reference | Related Articles | Metrics | Comments（0）