Loading...

Table of Content

    30 June 2026, Volume 36 Issue S1
    Safety Science Theories and Methods
    Development and application of a multi-dimensional hierarchical and quantitative evaluation model for safety management systems
    Wen Wubin, Yu Yan, Zhang Dawei
    2026, 36(S1):  1-5.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0001
    Asbtract ( 5 )   HTML ( 0)   PDF (2511KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To objectively and quantitatively evaluate the current situation of enterprise safetymanagement, promote the effective operation of thesafety management system, a multi dimensional, graded and quantitative evaluation model for the management system was developed. Firstly, the enterprise's management status was first systematically analyzed based on its work safetystrategies and business requirements to identify multi-dimensional evaluation factors. Secondly, the basicframework of the model was established via scientific formulation of scoring criteria and weight coefficients.Thirdly, the model was then embedded into the enterprise's intelligent security management evaluationplatform to realize online data processing and dynamic analysis. At last, through continuous iterativeoptimization, regular reviews and revisions were conducted on the indicator weights and assessmentbenchmarks of the evaluation model. The results show that since the implementation of this model, the security management has achieved a profound transfomation from "humanmanagement" to "system management" and" data management". The model dynamically quantifies safety evaluation indicators and elements, and accurately identifies weak links in enterprise work safety management.

    Research on a comprehensive evaluation system for occupational safety management in thermal power plants
    Tang Maolin, Sun Zhichun, Fan Simeng, Ju Hongjin, Xiao Haiping
    2026, 36(S1):  6-13.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0002
    Asbtract ( 1 )   HTML ( 0)   PDF (4090KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To enhance the safety management level of thermal power enterprises, a systematic evaluation index system was constructed based on the inherent safety concept and the 4M barrier theory, incorporating requirements from safety production standardization. By integrating AHP with GRA, a comprehensive evaluation model was established. An empirical study of six thermal power enterprises was conducted using their primary safety data. The results show that the average safety management score is 63.88 across the samples, with three enterprises below this average and only one performing excellently. Analysis of the secondary indicators reveals that "risk management" and "personnel management" are common weak modules, scoring 53.82 and 58.33 respectively, both below the overall average of 64.55 for all 13 modules. Within "risk management", the tertiary indicator "risk work planning" scores only 49.04, constituting the most significant deficiency. The proposed method can thus accurately pinpoint systemic shortcomings in safety management, providing data-driven support and a decision-making basis for optimizing key areas. This offers valuable insights for enhancing the overall safety performance of power enterprises.

    Bibliometric analysis of safety research in chemistry laboratory
    Fan Ruicheng, Hong Yu, Liu Ruiping, Zhang Yunfeng, Gao Guimei
    2026, 36(S1):  14-21.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0003
    Asbtract ( 1 )   HTML ( 0)   PDF (12512KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To reveal the research context, hotspot distribution, and frontier trends in the field of chemistry laboratory safety, CiteSpace and VOSviewer software were applied to conduct a comprehensive bibliometric analysis on 388 Chinese and English articles included in China National Knowledge Infrastructure (CNKI) and the Web of Science (WOS) core collection between 2010 and 2025. The research findings indicate that the global volume of publications on chemistry laboratory safety has shown an overall growth trend, but the development motivations and patterns differ significantly between China and other countries. Research abroad exhibits steady growth, forming a diverse academic network centering around the United States with multi-country participation and balanced contributions from both enterprises and universities. In contrast, domestic research demonstrates a typical "event-driven" characteristic, with research efforts highly concentrated in universities and insufficient collaboration between industry, academia, and research institutions. The research approach in China focuses more on macro-level governance through "system construction" and "standardized management." According to keywords, "safety management" and "safety education" are recognized as core foundational elements both in China and beyond, while "green chemistry" has emerged as a common new trend.

    Coal control of coal mine operations from perspective of safety integration
    Ren Yi, Zhao Kaigong, Li Changming
    2026, 36(S1):  22-28.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0004
    Asbtract ( 2 )   HTML ( 0)   PDF (8869KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To realize the coordinated development of cost control and targeted safety investment, aiming at the drawbacks including extensive cost management, passive material circulation, and isolated data transmission in traditional coal mines, activity-based costing (ABC) was adopted in this paper. Safety factors were integrated into the whole production process for driving factor analysis, and an innovative cost control system with the framework of "concept improvement, mode promotion, quota optimization and platform support" was proposed. A five-level vertical management framework covering mine, functional department, production district team, operation group and post, a four-level cost collection model divided by working face, district team, unit equipment and single post, as well as a linkage governance mechanism linking cost expenditure and safety risks were constructed, through which the visualized correlation among cost consumption, safety investment and on-site hazards was realized. With a coal mine enterprise as the research object, supporting countermeasures including the integrated verification of three cost examination standards and three safety inspection rules, and the construction of market-oriented maintenance bases were carried out on site. The results show that multiple expense optimization projects are finished in practical engineering applications with remarkable cost savings achieved and the occurrence probability of safety accidents reduced simultaneously. It is verified that the proposed novel control system solves the long-standing defects of extensive management and isolated information interaction. The coordinated progress of cost cutting, efficiency promotion, and safety performance upgrading is realized with the system.

    Construction of tiered safety performance evaluation system for multi-industry groups
    Li Xing
    2026, 36(S1):  29-35.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0005
    Asbtract ( 1 )   HTML ( 0)   PDF (1734KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To improve the safety management level of multi-industry groups, a safety performance evaluation system based on the classification and evaluation of the safety management difficulty of subsidiary companies was constructed. First, six key indicators including industry attributes, scale, and employee count were comprehensively analyzed. Indicator weights were determined through the AHP and Entropy Weight Method(EWM). Subsidiary safety management difficulty categories were identified via K-means clustering. Then, such main elements as organizational systems, risk control, emergency management, and accident indicators were comprehensively analyzed. From three dimensions of control indicators, constraint indicators, and incentive indicators, a Plan-Do-Check-Act (PDCA) performance evaluation mechanism of "quarterly self-assessment by subsidiaries + annual comprehensive evaluation by the group" was established to achieve differentiated management for different subsidiaries. Finally, a SRI monitoring and early warning model was developed to quantitatively assess key indicators in the safety production process and enable graded early warnings and interventions. Research results show that the safety management difficulty evaluation model enables the quantitative classification of the safety management difficulty of subsidiaries. The safety performance evaluation system, together with its PDCA cycle mechanism, realizes differentiated assessment and incentives for subsidiaries of different categories, thereby promoting continuous improvement of safety performance. The SRI monitoring and early warning model achieves quantitative evaluation and graded early warning of key indicator failures.

    Training-free domain generalization method for unsafe behavior detection in coal mines
    Li Ran, Yan Liwei, Wang Haodian
    2026, 36(S1):  36-41.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0006
    Asbtract ( 1 )   HTML ( 0)   PDF (4595KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    A training-free collaborative perception framework named MineGuard was proposed to address the domain generalization challenge of unsafe personnel behavior detection in complex and dynamic coal mine scenarios, as well as the industrial pain points of scarce annotated data and high adaptation costs for new scenarios. Firstly, the general cognitive capabilities of vision-language large models (VLMs) were integrated with the specialized detection capabilities of lightweight expert models to build a cognition-execution layered architecture. Then, a semantics-driven collaborative reasoning mechanism was established to enable intelligent scheduling and collaborative verification of multiple models. Finally, a cross-mine evaluation benchmark was constructed to validate the framework's generalization performance. The results show that on the coal mine unsafe behavior dataset, MineGuard reaches the mean average precision (mAP) of 90.22% without any fine-tuning, which is 5.65% higher than traditional source-domain-trained methods. It exhibits excellent cross-domain generalization performance.

    Safety Technology and Engineering
    Safety detection and feature extraction of wire rope damage signals
    Ni Tao
    2026, 36(S1):  42-48.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0007
    Asbtract ( 1 )   HTML ( 0)   PDF (6371KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To accurately detect wire rope damage signals and extract effective features, an adaptive fast Walsh-Hadamard transform (FWHT) method was proposed for noise reduction and feature extraction of wire rope damage signals. The noisy magnetic flux leakage signals were transformed into the sequency domain. An adaptive particle swarm optimization (APSO) algorithm was employed to search for the optimal number of retained transform coefficients. With a reference signal, the cross-correlation coefficient was used as the fitness function. In the absence of a reference signal, a composite index consisting of the peak-to-background ratio, local energy concentration, and residual energy ratio was adopted as the fitness function. Adaptive reconstruction of damage signals under strong-noise conditions was thus achieved. Experimental results show that, under strong-noise conditions with SNRs of -10 and -20 dB, the proposed adaptive FWHT method provides better restoration of damage peak values and preservation of peak amplitude information for broken wire defects than the Sym4 and db8 wavelet denoising methods.

    Research on safety adaptability of roadway advanced support system based on coupling dynamics
    Liu Deying
    2026, 36(S1):  49-54.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0008
    Asbtract ( 1 )   HTML ( 0)   PDF (7712KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In view of poor support efficiency caused by insufficient safety adaptability and low fit of traditional advanced support equipment under the condition of a complex roadway roof, systematic theoretical and experimental analysis was carried out. Based on the Lagrange equation, the coupling dynamic model of the roof and the main support group in the advanced support system was established. The numerical software was used to analyze and solve the dynamic response of the top beam and the beam frame, and the feasibility of the multi-stage flexible advanced support structure was verified from the perspective of dynamics. The performance of the structure was further tested by simulating the pressure support test. The results show that the strain of the C-beam is the most significant in the high-pressure loading stage, and its value increases with the increase of hydraulic pressure after 10 s of stable fluctuation and reaches the peak at about 20 s. The corresponding maximum stress is about 452 MPa, which is lower than the allowable stress of 550 MPa and meets the design requirements.

    Design of an explosion-proof intelligent charger system for coal mine electric vehicles
    Gao Wencai, Sun Deyu, Liu Jianyu, Zhang Quanzhu
    2026, 36(S1):  55-60.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0009
    Asbtract ( 1 )   HTML ( 0)   PDF (3448KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to meet the requirements for safe and efficient charging of lithium-ion power batteries in explosion-proof underground environments, an explosion-proof intelligent charger system was designed. The main circuit employed a high-frequency silicon carbide (SiC) single-phase H-bridge inverter, an ultrafine crystalline iron core high-frequency transformer, and a fast rectifier bridge to form a multi-stage isolated alternating current-direct current-alternating current 1-alternating current 2-direct current (AC-DC-AC1-AC2-DC) converter topology. Centered on the TMS320F28335 digital signal processor (DSP), the system adopted a CC-CV double closed-loop proportional-integral (PI) control algorithm for adaptive operation across multiple input voltage modes, wide-range DC output, and automatic compatibility with various battery pack specifications. The results show that the system achieved a smooth, non-impact transition from CC to CV charging, with overall energy conversion efficiency exceeding 94%, output voltage regulation error less than ±0.5%, and output ripple coefficient below 1%, implementing reliable protection functions. All performance indicators meet the requirements for underground coal mine applications.

    Quantitative analysis of causes of personal injury and fatality accidents in power industry and prevention and control strategies
    Wan Li, Xiao Qi
    2026, 36(S1):  61-66.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0010
    Asbtract ( 2 )   HTML ( 0)   PDF (1385KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To quantitatively analyze the causes of accidents involving personal injuries or fatalities in the power industry and propose prevention and control strategies, this study selected 165 typical accidents involving personal injuries or fatalities in China's power industry from 2020 to 2024 as the research sample. Descriptive statistics, grey relational analysis, and a coupling degree model were employed. The Swiss cheese model and the "2-4" Model were integrated, and a quantitative analysis framework for accident causes was constructed to accurately identify the core causes and quantitatively characterize their coupling effects. The results show that personal injury and fatality accidents in the power industry exhibit an overall fluctuating trend from 2020 to 2024, with the number of accidents reaching its peak in 2023. Falls from height (32.7%) and electric shocks (18.2%) are the main accident types, together accounting for 50.9% of all accidents. Spring and autumn are the periods with a high incidence of accidents, while North China and Northwest China are the regions with a high incidence of accidents. At the level of direct causes, unsafe acts of personnel (73.9%) are dominant. Violations of operating procedures, inadequate safety supervision, and inadequate safety training are the three core causes, and they are highly coupled, with a coupling degree of 0.985.

    AE and EMR characteristics of failure process of near vertical extra-thick coal seam
    Yan Ruibing, Li Kang, Jiang Xinjun, Song Dazhao, Du Taotao
    2026, 36(S1):  67-74.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0011
    Asbtract ( 1 )   HTML ( 0)   PDF (7708KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To address the problems that rock bursts in near vertical extra-thick coal seams are dominated by side heave and that existing acoustic-electromagnetic precursor criteria are mostly derived from near-horizontal or gently inclined coal seams with insufficient applicability, with the near vertical extra-thick coal seam of Wudong Coal Mine (dip angle 87°, average thickness 48.87 m) as the research object, synchronous uniaxial compression experiments combining AE and EMR were conducted on coal and rock samples, together with field multi-parameter monitoring of geoacoustic (GA), microseismic (MS), and EMR signals. Comparisons were also made with other typical coal seams at different dip angles. The results show that at the laboratory scale, AE-EMR amplitudes are positively correlated with stress, and the signal concentration of rock samples is higher than that of coal samples. Before the rock burst occurrence, the hourly GA energy and pulse count exhibit an M-shaped double-peak evolution, with the peak energy reaching the order of 103 J. The daily MS energy and frequency show a V-shaped precursor, with the peak energy reaching the order of 105 J, surging to 107 J on the day of rock burst. The EMR intensity presents an M-shaped distribution with increasing distance from the working face, with high-value zones located at 10-30 m and 70 m. The EMR intensity of the coal seam is 20%-35% higher than those of the roof and floor, consistent with the side heave characteristics. The MS frequency of the near vertical extra-thick coal seam is similar to those of other coal seams, whereas the V-shaped evolution pattern of MS energy is significantly distinct.

    Effects of thermal-electrical aging and flame retardance on flash point and breakdown voltage of insulating oil
    Zhu Xinghua, Ma Xiang, Yuan Bo, Zhang Yi, Zhao Chengshou
    2026, 36(S1):  75-80.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0012
    Asbtract ( 1 )   HTML ( 0)   PDF (1803KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In response to the increased fire risk caused by the aging of transformer insulating oil, the commercially available mineral insulating oil was selected as the research subject. Accelerated thermal aging and breakdown discharge aging tests were carried out to measure the flash points and breakdown voltages of insulating oils at different aging degrees. The results show that the breakdown voltage is affected more significantly by aging, while the flash point undergoes a relatively minor decline. The flame retardant can increase the flash point and breakdown voltage of insulating oil. After 40 days of thermal aging, the breakdown voltage of the flame-retardant insulating oil hardly changes, remaining above 50.0 kV. However, the flash point of the flame-retardant insulating oil is lower than that of the unmodified insulating oil. After 40-times continuous breakdown discharges, both the flash point and breakdown voltage of the flame-retardant insulating oil increase slightly.

    Research on kinematic characteristics of lifting mechanism of mining truck steering knuckle disassembly and assembly device
    Gao Yu, Yu Tao, Deng Shituo
    2026, 36(S1):  81-85.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0013
    Asbtract ( 1 )   HTML ( 0)   PDF (4235KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To address the problems of limited working space, unstable lifting of heavy loads, and high safety risks during the disassembly and assembly of mining truck steering knuckles, the motion characteristics and working space of the lifting mechanism in a novel disassembly and assembly device were analyzed. By establishing a kinematic model based on the improved D-H parameter method, combined with numerical calculation and multibody dynamics simulation methods, the compatibility between the mechanism's working space and the under-truck maintenance area was verified, with a safety margin of no less than 400 mm in all directions. Dynamic simulation shows that the mechanism operates smoothly with controllable vibration under rated load. Comprehensive tests in a simulated environment further confirm that the mechanism is reliable and accurate in operation, improving the disassembly and assembly efficiency of the steering knuckle by approximately 56% and reducing the sway amplitude of heavy loads by more than 85%, thereby significantly enhancing operational safety and efficiency.

    Safety issues and coping strategies for critical auxiliary equipment in coal-fired power plants
    Feng Yijun, Zhao Shucheng, Zhang Jianyun, Zhang Jian, Xiang Baixiang, Li Xiangsheng
    2026, 36(S1):  86-91.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0014
    Asbtract ( 1 )   HTML ( 0)   PDF (2502KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In the process of constructing new power systems, coal-fired units are undergoing a fundamental transition from base-load power sources to regulating power sources. Their critical auxiliary equipment faces systematic safety risks due to prolonged operation in conditions deviating from the design specifications. To this end, an in-depth analysis of the specific failure mechanisms of critical auxiliary equipment in coal-fired power plants under deep peak-shaving and rapid start-stop operating modes was carried out. Major prominent safety issues were sorted out, including pulverizer deflagration under low loads, cavitation and vibration of feed water pump sets, fan air short-circuiting, and unstable water level control of high-pressure heaters. Technical countermeasures covering equipment body adaptive retrofits, intelligent monitoring and early warning as well as optimized operation control were put forward. A modern management framework integrating dynamic risk control and full-life-cycle health management was constructed. The results indicate that under the new operating mode, non-design operating conditions such as deep peak shaving and rapid start-stop of coal-fired units can trigger changes in auxiliary equipment failure modes and pose safety hazards due to equipment coupling. A three-pronged system strategy combining technical retrofits, risk-predictive operation and maintenance, and market policy compensation can comprehensively prevent and control the safety risks of auxiliary equipment and enhance the operational reliability of the units.

    Disaster-causing mechanism and pressure-relief control of rockbursts in excavation roadways in steeply inclined extra-thick coal seams
    Liu Jiangfeng, Song Binglin
    2026, 36(S1):  92-100.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0015
    Asbtract ( 1 )   HTML ( 0)   PDF (15628KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To solve the problem of roof deformation in steeply inclined coal seam roadways, this paper took roadway excavation in a steeply inclined coal seam at Wudong Coal Mine as the research object. Numerical simulations were used to investigate the dynamic response of the surrounding rock under dynamic and static loads, determine the propagation characteristics of vibration waves in steeply inclined extra-thick coal seams, reveal the disaster-causing mechanism of rockbursts during roadway excavation in such coal seams, identify multi-source prevention and control targets and key areas during roadway excavation, and develop rockburst prevention and control strategies for roadway excavation in steeply inclined coal seams. The results show that stress waves exhibit a significant reflection effect at the coal-rock interface, and dynamic load disturbance increases the peak horizontal stress of the coal wall to 21.8 MPa, representing an increase of 25%. The degree of damage to the coal and rock in the coal wall and roadway floor is relatively high, indicating that the effects of dynamic loads exhibit obvious directional characteristics. The propagation effects are ranked as follows: floor (2.71 m/s) > coal wall (1.26 m/s) > rock wall (0.69 m/s) > roof. During roadway excavation in steeply inclined extra-thick coal seams, the suspended roof in the goaf and the compressive and prying effects of rock pillars are the primary sources of static loads, while excavation disturbance is the primary source of dynamic loads. The coupling of static stress and dynamic load disturbance is the key mechanism underlying the occurrence of rockbursts. Optimizing the roadway support scheme and implementing technical measures such as large-diameter borehole pressure relief and water-injection pressure relief can effectively reduce the rockburst tendency of the coal and rock, increase the critical stress, and reduce energy accumulation in the surrounding rock. This study provides important theoretical support and a reference for engineering practice in the prevention and control of rockburst under similar geological and mining conditions.

    Architecture design of comprehensive disaster prevention and control platform for underground coal mines
    He Zhonglei, Wang Haishan, Liu Liren
    2026, 36(S1):  101-107.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0016
    Asbtract ( 3 )   HTML ( 0)   PDF (15147KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To address the problems of early warning systems for various disasters in underground coal mines, including fragmentation, isolated information, and slow response, an architecture for a comprehensive disaster prevention and control platform in underground coal mines was developed. The "1+5+N" business framework and a layered technical system were adopted by the architecture. Five types of disaster monitoring data and several business subsystems such as ventilation, drainage, and personnel positioning were integrated. A base for five intelligent early warning models was established, including trend prediction, disaster simulation, multi-factor risk early warning, decision support, and forecast and early warning. An application validation was also carried out. The results indicate that by using microservices and distributed computing, the platform enables early identification, dynamic analysis, and early warning of risks. The architecture effectively improves data integrity and fusion efficiency, with the forecast success rate increasing by 35% and timeliness improving by 60%. A whole-process flow from risk perception to linkage control is successfully realized.

    Research on key technologies of high-efficiency mining and backfilling for soft and extra-thick coal seams in Laoshidan coal mine
    Zhao Yi, Zhang Yaoyao, Tian Suchuan, Lai Wan'an
    2026, 36(S1):  108-114.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0017
    Asbtract ( 5 )   HTML ( 0)   PDF (8958KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To address the issues induced by full-thickness mining in soft and extra-thick coal seams—including instability of the deep beam structure of the roof, excessive deformation of the roof and sidewalls in mining roadways, slow roadway drivage caused by uncoordinated excavation and support operations that constrain backfilling efficiency, as well as low backfill roof-contact ratio and severe slurry leakage—and to achieve efficient and safe mining of soft and extra-thick coal seams, a layered staggered collaborative mining-and-backfilling technology is proposed. The coal seam is divided into upper and lower layers, with branch roadways arranged at a staggered spacing of 50% of the roadway width. This is complemented by a high-efficiency intelligent mining-and-backfilling equipment system consisting of a high-efficiency rapid-cutting horizontal-axis integrated roadheader-and-bolterexcavation, a straddle-type full-face support trolley, a self-moving flexible belt conveyor, and an intelligent one-key automated backfilling control system. Application in the No.16 soft and extra-thick coal seam of Laoshidan Coal Mine demonstrates that this system can liberate 20 million tonnes of coal resources trapped under surface buildings, increase the daily drivage footage of branch roadways to 40 m, achieve an annual output of 443 500 t, simultaneously realize underground gangue conversion and emission reduction, extend the mine service life by 15 years, and provide a complete solution for the efficient mining of soft and extra-thick coal seams and resource-depleted mines.

    Failure mechanism and stability control of weakly cemented soft rock roadways
    Jiang Xu, Feng Yong
    2026, 36(S1):  115-122.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0018
    Asbtract ( 3 )   HTML ( 0)   PDF (8641KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In order to improve the stability of weakly cemented soft rock roadways, the failure mechanism and stability control technology were systematically investigated. Specifically, physical and mechanical tests, mineral composition analysis, numerical simulations, and field tests were comprehensively employed, with the I0227203 working face in the West No.3 mining district of the Third Coal Mine serving as the engineering background. The results show that the weakly cemented soft rock roadway was characterized by three major features: non-uniform spatial large deformation, strong timeliness, and significant water-immersion deterioration. The low strength of the coal-rock mass and the high content of clay minerals were identified as the intrinsic causes of the swelling, softening, and deformation of the surrounding rock. Under the superimposed action of in-situ stress and top-coal caving impact load, insufficient original support strength was found to be the external driving factor for the large roadway deformation. Consequently, a vicious deformation cycle was formed, comprising "roof subsidence squeezing the coal side-coal side bulging squeezing the floor". Based on the "roof-side-floor" synergistic bearing concept, conventional anchor cables were adopted for roadway side reinforcement, grouting anchor cables were employed for floor reinforcement, and anchoring force was simultaneously enhanced. Numerical simulations demonstrated that, compared with the original scheme, the optimized scheme reduced the convergence between roof and floor by 75.7% and the convergence of the two sides by 75.4%. During the field test, the maximum roof convergence was 74 mm, the maximum floor heave was 43 mm, and the maximum convergence of the two sides was 88 mm. The surrounding rock deformation is within a controllable range, and the optimized scheme is thereby validated to be effective.

    Public Safety and Emergency Management
    Visual analysis of research trends in building fires based on knowledge graph
    Zhang Lining, Chen Keying, Zhuang Xin, An Jing
    2026, 36(S1):  123-132.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0019
    Asbtract ( 3 )   HTML ( 0)   PDF (13379KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To reveal the development process and future trends in building fire research, a systematic analysis of the knowledge map for building fire studies was conducted. Based on the literature in the field of building fires indexed from the web of science (WOS) and China national knowledge infrastructure (CNKI) databases from 1992 to 2025, by employing the bibliometric tool Citespace, the hotspots and knowledge graph of building fire research were systematically investigated from the temporal evolution, the institutional collaboration, the keyword co-occurrence and emergence, and so on, and its evolutionary process was revealed. Research findings indicate that the volume of publications related to building fires has grown rapidly since 2005, literature output exhibits a pronounced Matthew effect and the characteristics of national leadership and regional distinctiveness, with China and the United States being the primary contributors, followed by European and East Asian countries. Regarding building fires, foreign literature research primarily focuses on fire dynamics simulation, intelligent evacuation systems, and green fireproof materials, while Chinese literature emphasizes high-rise buildings, building information modeling (BIM) technology integration, and fire risk assessment, cross-national and cross-institutional collaboration remains relatively loose. Current research on building fires exhibits interdisciplinary and cross-domain characteristics, showing a trend toward transitioning from empirical judgment to data-driven approaches and from single-disaster response to multi-disaster coupled response. However, the application of intelligent technologies, multi-scale risk assessment, and prevention and control systems still require further development.

    Research and application of emergency traction power supply equipment for Guoneng locomotive
    Zhang Wenshan, Hu Li, Zhang Quanzhu
    2026, 36(S1):  133-138.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0020
    Asbtract ( 2 )   HTML ( 0)   PDF (2944KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To address the challenge of emergency power supply for coal transport electric locomotives under special operating conditions, ensure safe and reliable locomotive operation, and meet the working and living needs of crew members, the application research of an emergency auxiliary power supply system for electric locomotives was conducted. First, the emergency power supply demands of the SS4 series electric locomotives and the Shenhua alternating current (AC) traction electric locomotives were analyzed under five special operating conditions including the absence of catenary, window-opening operations, battery depletion, and others. Based on this analysis, a system solution was designed, incorporating charging and energy storage circuits, emergency power supply circuits, self-traction power supply circuits, and regenerative self-power generation power supply circuits. The topological structure of each core module was optimized. Mathematical models were established for locomotive traction energy consumption, emergency power consumption, and temperature. These models determined the optimal energy storage capacities for lithium iron phosphate batteries and supercapacitors. Circuit component parameters were designed and validated through simulation using tools such as Matlab/Simulink. Finally, an experimental platform was constructed for functional testing. The results show that the designed emergency auxiliary power supply system possesses a reasonable topological structure and excellent device parameter matching. It can fully adapt to five special operating conditions of Guoneng electric locomotives and effectively solve emergency power supply deficiencies under the absence of catenary, window-opening operations, battery depletion, and other scenarios, exhibiting favorable field application performance.

    Identification and evolution of key technologies in China's safety and emergency industry in digital and intelligent era
    Liang Benbu, Li Peizhao, Zhan Li, Li Zhi, Luo Jiaxin
    2026, 36(S1):  139-145.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0021
    Asbtract ( 1 )   HTML ( 0)   PDF (3081KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    The identification of innovation themes of key technologies in China's safety and emergency industry (SEI) and their evolutionary trends was investigated to improve the effectiveness of the digital and intelligent transformation of the industry. Key technology indicators (KIs) were proposed based on a large-scale dataset of 36 971 patents in the SEI filed from 2003 to 2024. Seven indicators spanning three dimensions, namely, technological, legal and strategic support, were selected to measure the key technologies. The XGBoost model was employed to identify key technological opportunities in the SEI. Topic modeling methods, including LDA, were further applied to extract innovation themes of key technologies and analyze their evolutionary trends. The results show that key digital and intelligent technologies in the SEI can be categorized into 10 thematic clusters, exhibiting logical correlation characteristics of "technology integration, proactive prevention, and coordinated response". The current technological development is reflected in three major trends of innovation themes: the evolution from data acquisition relying on conventional technologies to multimodal data fusion enabled by sensors, the transformation from focusing on emergency response to sudden events to emphasizing proactive monitoring and early warning, and the shift from focusing on traditional natural disaster prevention and control to resilient management of composite disasters.

    Emergency power supply system of SS4B electric locomotive
    Yin Liang, Zhang Weidong, Zhang Fuzhong, Zhang Quanzhu, Zhang Wenshan
    2026, 36(S1):  146-152.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0022
    Asbtract ( 1 )   HTML ( 0)   PDF (4435KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To tackle the problems of excessive auxiliary equipment, complicated operation, and low efficiency during shunting and depot transfer of SS4B electric locomotives for maintenance, an on-board dedicated power supply system for electric locomotive shunting and depot transfer was developed. A locomotive emergency power supply control system based on DSP TMS320F28335 chip was designed. The main circuit of the system adopted SiC power devices to construct the charging unit and two-stage DC/DC chopper unit, which was integrated with a supercapacitor energy storage device. The high-speed DSP controller generated pulse width modulation (PWM) waveforms to realize driving and control of all power devices in the whole system. The results show that the coordinated operation of the two-stage DC/DC chopper module and supercapacitor energy storage unit can provide continuously adjustable DC output voltage ranging from 70 V to 130 V, and the conversion efficiency of the entire power conversion unit exceeds 93%. Such output performance can steadily drive the locomotive traction motors to operate at low speeds. The charging module features wide catenary voltage adaptability and supports segmented fast charging with constant current and constant voltage to meet the emergency energy storage demands of locomotives. Vehicle-mounted tests verify that the design target of self-propelled shunting and depot transfer with locomotive emergency power supply under catenary-free conditions can be fully achieved.

    Fault diagnosis of transmission system of lifting amusement rides based on CWT-TFA-ResNet
    Wu Qi, Wang Huajie, Song Weike, Luo Haifeng
    2026, 36(S1):  153-159.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0023
    Asbtract ( 1 )   HTML ( 0)   PDF (9228KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    A fault diagnosis method for the transmission system of lifting amusement rides was proposed to overcome the limitations of traditional fault diagnosis methods in handling complex signal features under specific operating conditions. First, vibration signals collected from the test bench were converted into images rich in time-frequency features using CWT to preserve detailed information in the time-frequency domain. Second, multilevel distributed fault-related features were extracted using ResNet. Third, a TFA module was introduced to selectively enhance time-frequency features, thereby improving the model's ability to capture critical information from complex time-frequency features. Finally, experiments were conducted on the test bench for the transmission system of lifting amusement rides to diagnose four types of faults at three locations. The results demonstrate that the fault recognition accuracies of the proposed method at the three locations reach 95.35%, 95.97%, and 99.15%, respectively. Substantial improvements in recognition metrics are achieved by the proposed method compared with multiple deep learning-based fault diagnosis models. The features extracted by the model are visualized after dimensionality reduction using t-distributed stochastic neighbor embedding (t-SNE), revealing an overall clustered distribution of samples under different operating conditions.

    Disaster Prevention and Mitigation Technology and Engineering
    Experimental study on dynamic mechanical properties of sandstone with different lengths under various confining pressures
    Xie Chengyu, Li Hannan, Yang Baolin, Wang Xinfeng, Chen Jiaozhong
    2026, 36(S1):  160-168.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0024
    Asbtract ( 2 )   HTML ( 0)   PDF (5454KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    The dynamic mechanical properties of rocks are one of the key factors in evaluating the stability of underground engineering. To further analyze the stability of deep rock engineering, taking sandstone from the north wing return air roadway in the eastern district of Guqiao coal mine as the research object, impact compression tests were conducted on sandstone specimens using the split Hopkinson pressure bar (SHPB) technique. Focusing on aspects such as stress-strain relationships, peak values, deformation modulus, and energy dissipation rate, the coupled effects of confining pressure and specimen length on the dynamic mechanical properties of sandstone during dynamic excavation were revealed. The results indicate that stress, strain, and deformation modulus exhibit a significant positive correlation with confining pressure and specimen length. Specifically, when the confining pressure reaches 20 MPa, the compressive strength of the 50 mm long specimen reaches a maximum value of 353.57 MPa; the results indicate that increasing both the confining pressure and the specimen length can significantly enhance the compressive strength of sandstone. In contrast, peak strain shows a negative correlation with confining pressure and specimen length, with the 50 mm long specimen under 20 MPa confining pressure exhibiting the smallest peak strain of only 0.008 45. The energy dissipation rate initially decreases and then increases with increasing confining pressure and specimen length, with the magnitude of decrease being much smaller than that of the increase. This indicates that an increase in confining pressure and specimen length can reduce the deformation capacity (ductility) of sandstone.

    Application of comprehensive geophysical exploration technology in mine roof water damage prevention and control
    Yang Wei, Hu Wei, Meng Wenjun, Li Zhuang, Qiao Zengjian, Guo Xiaotong
    2026, 36(S1):  169-176.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0025
    Asbtract ( 2 )   HTML ( 0)   PDF (9464KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To investigate the application effect of comprehensive geophysical exploration techniques in roof water damage prevention and control in fully mechanized mining faces, the B1003E06 fully mechanized mining face in a coal mine of the Tacheng Prefecture, Xinjiang, was selected as the research background. A survey method combining transient electromagnetic technology (TEM) with audio frequency electric penetrating (AFEP) technology was employed. Advanced detections were carried out on the coal seam roof in the B1003E06 fully mechanized mining face. Based on the comprehensive analysis, the distribution and volume of water in the roof aquifer were assessed. The results show that the combined TEM and AFEP survey method, when applied prior to coal extraction, could effectively identify the spatial distribution characteristics of water-rich anomalies in the coal seam roof. This helps facilitate the design and construction of underground water exploration and drainage boreholes and ensure safe coal extraction. Based on cross-validation of the two geophysical exploration results, 26 water-rich anomaly target zones are comprehensively delineated in the B1003E06 working face, with 34 verification boreholes designed. Drilling verification confirms that the spatial distribution of water inflow from the boreholes generally corresponds to the distribution of the water-rich anomaly zones revealed by both AFEP and TEM methods. For anomaly zones indicated simultaneously by the two methods, the comprehensive geophysical exploration results of the working faces are generally accurate. The primary direct water filling source in the B1003E06 working face is water from the Xishanyao Formation sandstone aquifer in the roof. All borehole water inflow rates are low, with none exceeding 0.15 m3/h. This indicates that the sandstone aquifer in the roof has low water yield property, which is favorable for safe coal extraction. The transient electromagnetic and audio frequency electric penetrating technologies could effectively identify water-rich anomalies within the underground mining area.

    Occupational Health
    Research on factors associated with locomotive crew operational performance
    Wang Jianhua, Zhao Kaigong, Jia Shuyi, Meng Ting, Ren Yanming, Gao Xin
    2026, 36(S1):  177-182.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0026
    Asbtract ( 3 )   HTML ( 0)   PDF (1879KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To improve transportation safety management, 98 crew members from a railway transportation company, with 1 362 observations, were included in this study. A self-developed mental health questionnaire and facial emotion recognition technology based on deep learning were used, and independent-samples t tests, logistic regression, and random forest models were applied for analysis. The results show that mental health is specifically associated with operational performance, and facial emotional features can effectively predict psychological states. Significant differences are found in the emotional state dimension between the full-score and non-full-score groups, with the non-full-score group showing lower emotional state levels (p<0.05), whereas no significant differences are observed in the other dimensions. Education level and emotional state have significant positive effects on operational performance, whereas self-efficacy shows a negative effect. Age, years of service, mental fatigue, workload, and stress show no significant effects. In addition, attendance facial expression features show high predictive performance for all dimensions of mental health (R2>0.80), among which sadness, neutral expression, and surprise are the three most important emotional features. These findings indicate that facial emotional features are useful indicators for assessing the psychological states of heavy-haul locomotive crew members and provide empirical evidence for the development of dynamic safety monitoring and targeted psychological intervention.

    Research on dust migration characteristics in inclined fully mechanized working face
    Zhang Wenzheng, Zhao Shengnan
    2026, 36(S1):  183-189.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0027
    Asbtract ( 2 )   HTML ( 0)   PDF (8816KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To explore the dust migration characteristics in inclined fully mechanized working faces, this study established a 1∶1 full-scale physical model using Solidworks. Based on the gas-solid two-phase flow theory and combined with field-measured parameters, ANSYS numerical simulation software was employed to calculate and analyze the dust migration characteristics. The results show that airflow forms high-velocity zones at the intake corner, shearer position, and return corner, with maximum wind speeds reaching 2.32, 2.24, and 2.12 m/s, respectively. Additionally, the wind speed on the walkway side is consistently lower than that on the cable trough side throughout the space. Dust diffuses downwind along the airflow direction in the working face, with the highest dust concentration (2 465.67 mg/m3) observed at the front drum of the shearer. The working conditions prolong dust suspension time and reduce the settlement rate, forming a high-concentration dust cloud at the breathing zone height on the walkway behind the shearer's front drum, with a length of 62.39 m, width of 1.75 m, and average concentration of 892.43 mg/m3. This area is identified as a key protection zone during coal mining.

    Intelligent Safety Technology
    Power plant violation identification and control system based on large model and edge computing
    Liu Yanbin, Wang Xuesong, Fang Yi, Sun Hainan, Li Wei, Zhang Yanqing
    2026, 36(S1):  190-194.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0028
    Asbtract ( 1 )   HTML ( 0)   PDF (1371KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In response to the dependency of the traditional safety supervision of power plants on manual work and difficulty in tracing back afterwards, a violation identification and control system for power plants was constructed based on large model and edge computing. The system was applied to decouple 31 typical operation scenarios of power plants, develop 55 AI algorithm models, and realize the real-time identification and early warning of violations, equipment abnormalities, and environmental risks. A dynamic task scheduling algorithm based on directed acyclic graph (DAG) was designed to solve the resource allocation problem of edge computing under multi-task concurrence. The AI monitoring mechanism based on dynamic weight was constructed to realize the self-adaptive rotation inspection of the monitoring screen according to the risk level and active focus of high-risk scenes. The pilot results show that the average accuracy of typical violation identification (mAP) @0.5 is 95.7%, 12.3% higher than that of YOLOv8. The alarm delay is less than 200 ms, and the response time of on-site intervention is shortened from 15 min to 4.2 min, effectively improving the intelligent level of power plant security management.

    A multi-agent based dynamic disaster emergency scenario-response decision-making model
    Liu Qibin, Pan Tao, Yan Liwei
    2026, 36(S1):  195-201.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0029
    Asbtract ( 1 )   HTML ( 0)   PDF (1687KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    To address the issues of plan rigidity, response delay, and inefficient coordination in the traditional prediction-response paradigm in dealing with complex dynamic disaster chains, this study proposed a new intelligent emergency paradigm capable of real-time perception, dynamic deduction, and adaptive decision generation. A scenario-response decision-making model based on an MAS was constructed. A collaborative framework composed of a commander agent, an information perception agent, a disaster simulation agent, a decision support agent, and a human-machine collaboration agent was established. An agent collaboration mechanism driven by an event-task chain with a digital twin as the shared space and human-in-the-loop as the core was designed. The model was verified using a coal mine gas explosion chain disaster as an example. The results show that the model can form a complete dynamic closed loop of perception-reasoning-decision-making-coordination, which significantly improves emergency response speed, resource allocation efficiency, and personnel safety protection, thereby achieving a paradigm shift from static plan matching to dynamic scenario-based response. The model can significantly improve emergency response speed, resource utilization efficiency, and personnel safety assurance levels.

    Construction of digital intelligent platform for scientific research safety management based on three lines of defense model
    Li Qian
    2026, 36(S1):  202-209.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0030
    Asbtract ( 1 )   HTML ( 0)   PDF (5630KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    Accident cases of scientific research institutions were first analyzed to make the safety management of these institutions more systematic and intelligent. Secondly, based on the prevention and control model of "three lines of defense" for safety risks and digital technologies, a digital intelligent platform for safety management was constructed, with a focus on risk classification control and hidden danger management. The platform includes a risk early-warning indicator system, a dynamic risk scoring model, and specialized safety modules. Finally, an empirical analysis was conducted. The results show that the constructed platform based on the three lines of defense model significantly enhances early risk identification, real-time warning, and closed-loop management. It also improves process efficiency and full participation in scientific research safety management and provides a technical framework and practical reference for the digital transformation of safety management in scientific research institutions.

    Language models for traffic accident liability determination based on chain-of-thought fine-tuning
    Xu Chuan, Li Bo, Hu Jialin, Luo Dan, Jiang Xinguo
    2026, 36(S1):  210-216.  doi:10.16265/j.cnki.issn1003-3033.2026.S1.0031
    Asbtract ( 2 )   HTML ( 0)   PDF (5337KB) ( 0 )  
    Figures and Tables | References | Related Articles | Metrics

    In response to low manual efficiency and the insufficient reasoning, generalization, and interpretability of traditional machine learning models under complex accident scenarios in road traffic accident liability determination, a chain-of-thought (CoT) fine-tuning framework based on large language model (LLM) was constructed. Fine-tuning data were built from 870 California autonomous vehicle accident reports (2014-2025) and the California traffic laws. An expert-template-guided reasoning path for liability determination was designed. A two-stage fine-tuning practice was implemented using knowledge distillation. Legal knowledge, professional reasoning processes, and structured output patterns were internalized into a small-scale language model. The results show that compared with the non-fine-tuned model, the responsible party matching accuracy is improved from 30.19% to 97.18%, with the comprehensive reasoning quality score raised from 1.33 to 4.64 under zero-shot conditions. In zero-shot settings, the fine-tuned small-scale model (3B) outperforms a 235B open-source large model in full correctness, party correctness, and responsible party matching accuracy, with a 7.4% higher core reasoning ability score.