Journal of Loss Prevention in The Process Industries最新文献

{"title":"Multi-task deep learning for pollutant source inversion with DFNN, LSTM, and Transformer architectures","authors":"Yiping Lin,&nbsp;Hong Huang,&nbsp;Xiaole Zhang","doi":"10.1016/j.jlp.2025.105886","DOIUrl":"10.1016/j.jlp.2025.105886","url":null,"abstract":"<div><div>Gas leakage incidents in chemical industrial parks can lead to severe economic losses and pose significant risks to human safety. Rapid identification of the leakage source enables timely mitigation, while accurate estimation of the emission strength helps assess the severity of the incident. This study presents a multi-task learning (MTL) framework for source term estimation (STE) that simultaneously predicts source location and time-varying emission strength. Three representative deep learning architectures, a Deep Feedforward Neural Network (DFNN), a Long Short-Term Memory (LSTM) network, and a Transformer, are compared under both constant and dynamic release scenarios. This work provides the first systematic evaluation of these distinct architectures within an MTL framework for STE, demonstrating the advantages of temporal feature learning for inverse modeling applications. A realistic and large-scale dataset is generated using computational fluid dynamics (CFD) and the response factor method (RFM) to simulate dispersion. Optuna-based hyperparameter optimization is employed to ensure reliable model comparison. Results demonstrate that all three models achieve strong inversion performance. The DFNN proves efficient and robust in constant-release scenarios, while the LSTM excels under dynamic conditions, significantly improving the estimation accuracy over a shallow ANN without MTL, reducing the MAE for source strength from 0.394 to 0.147 and increasing the R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> from 0.284 to 0.768. Therefore, for time-varying emissions, the MTL-based LSTM is recommended due to its superior ability to capture temporal dynamics and provide precise rate estimates.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105886"},"PeriodicalIF":4.2,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental investigation of time–frequency characteristics of acoustic signals during boilover in small-scale oil tanks","authors":"Yanshan Sha ,&nbsp;Dongliang Chen ,&nbsp;Feiyang Wu ,&nbsp;Qiang Cao ,&nbsp;Yucong Zhou ,&nbsp;Weihua Zhang ,&nbsp;Xin Huang ,&nbsp;Minghui Wang","doi":"10.1016/j.jlp.2025.105881","DOIUrl":"10.1016/j.jlp.2025.105881","url":null,"abstract":"<div><div>To systematically examine the relationship between the combustion acoustic signals and boilover in oil-storage-tank fires, and to accurately analyze the boilover severity index, small-scale tank experiments were conducted via time-frequency analysis of combustion acoustic signals. By performing small-scale tank fire tests with crude oil and diesel oil, and processing the acoustic data with wavelet denoising and MATLAB routines, the present investigation developed a boiling-state classification framework that relies on the signals’ time-domain waveform, probability density function (PDF), and power spectral density (PSD). In parallel, an integrated analysis was performed to couple these acoustic signatures with flame morphology and temporal evolution. The results demonstrate a responsive relationship between the evolution of the combustion acoustic signals and the boilover stage. Correlation analysis of boilover acoustic signatures with fire dynamics reveals two phenomena: overflow and splash, each displaying distinct acoustic stages and evolutionary trends.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105881"},"PeriodicalIF":4.2,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From incident to insight: Fire risk in modern data centers","authors":"Tylee L. Kareck ,&nbsp;Chi-Yang Li ,&nbsp;Jiejia Wang ,&nbsp;Michael J. Gollner ,&nbsp;Qingsheng Wang","doi":"10.1016/j.jlp.2025.105890","DOIUrl":"10.1016/j.jlp.2025.105890","url":null,"abstract":"<div><div>Modern data centers are becoming increasingly vital infrastructure, yet several recent high-profile fire incidents have exposed persistent vulnerabilities. As artificial intelligence (AI) technologies continue to advance, these risks will only intensify. Contributing causes of such fires include electrical faults, battery failures, cooling system malfunctions, and human error. This perspective paper synthesizes key information from recently reported incidents and discusses practical fire safety strategies for both prevention (i.e., AI-driven fault detection and fire-safe battery storage) and suppression (i.e., clean agents and liquid nitrogen system). Emerging technologies are highlighted as potential fire safety enhancements, and their development and implementation in modern data centers are recommended. Two relevant methods for fire risk assessment are explored, specifically non-scenario-based consideration of common fire causes and scenario-based examination of recent incidents. These assessment methods should be utilized while considering engineering design practices, operational feasibility, and regulatory alignment to enhance resilience and promote adoption in modern data centers. This work intends to offer a perspective on data center fire risk assessment by examining past incidents, presenting insights into current knowledge gaps, and proposing future research and stakeholder efforts for the improvement of data center fire safety.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105890"},"PeriodicalIF":4.2,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inhibitory effects of varying kaolin concentrations on CH4/H2 explosion characteristics","authors":"Shanshan Liu,&nbsp;Dongxu Huang,&nbsp;Yong Pan,&nbsp;Zhenhua Wang,&nbsp;Juncheng Jiang","doi":"10.1016/j.jlp.2025.105889","DOIUrl":"10.1016/j.jlp.2025.105889","url":null,"abstract":"<div><div>This study employs laser schlieren imaging and pressure measurement techniques to investigate the impact of kaolin (Ko) on the explosion behavior of CH₄/H₂ mixtures at various equivalence ratios (0.8, 1.0 and 1.2) and H₂ contents (0, 0.3 and 0.9). Results indicate that the inhibitory effect of Ko first increases and then decreases with increasing concentration, achieving optimal suppression at 175 g/m³. Under the same equivalent ratios (<em>φ</em>), the reduction in maximum explosion pressure (<em>P</em>_max) becomes more pronounced with higher H₂ addition (<em>R</em>). At constant <em>R</em> but varying <em>φ</em>, the suppression effect exhibits a different trend: when <em>R</em> = 0 and 0.3, optimal suppression occurs at <em>φ</em> = 0.8. Whereas at <em>R</em> = 0.9, the optimal suppression effect is observed at <em>φ</em> = 1.0, corresponding to a 30.27 % reduction in <em>P</em>_max. As the Ko concentration increases, dust enhances flow field instability, thereby accelerating the transformation of the flame structure. Meanwhile, higher hydrogen addition (<em>R</em>) intensifies chemiluminescence, and heated Ko particles to emit strong intense thermal radiation. The combined effect of these two factors causes the flame to appear bright white-yellow. A coupled analysis of flame propagation and pressure evolution reveals that, despite differences in <em>φ</em>, the coupled evolution of flame and pressure remains highly similar under the same <em>R</em>. The main distinctions arise in the timing of critical flame development stage and flame brightness. Overall, Ko suppresses explosions primarily through physical mechanisms such as endothermic cooling, dilution and isolation effects, and thermal radiation shielding, and it exhibits particularly strong suppression at high H₂ additions.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105889"},"PeriodicalIF":4.2,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and implementation of a VR-based evacuation simulation system: A case study with impaired people","authors":"Jiayue Wang ,&nbsp;Huanyu Wang ,&nbsp;Liangchang Shen ,&nbsp;Liping Kou ,&nbsp;Yunhe Tong","doi":"10.1016/j.jlp.2025.105888","DOIUrl":"10.1016/j.jlp.2025.105888","url":null,"abstract":"<div><div>In the process industries, incident investigations repeatedly show that deficiencies in evacuation guidance systems contribute to casualties during fires, explosions, and toxic releases. Effective guidance that performs reliably under such hazardous conditions is therefore a critical component of process safety and loss prevention. However, traditional evacuation drills often lack realism, repeatability, and inclusivity, limiting their value for hazard mitigation and safety system optimisation. This study develops a Virtual Reality (VR)-based evacuation simulation platform designed for both safety training and empirical evaluation of evacuation guidance strategies. The system models a five-story enclosed building with configurable layouts, emergency broadcasts, and multiple signage types (graphic-only, text-based, combined, and enhanced with directional or supplementary cues). It enables safe, repeatable testing of human response to process-related emergency scenarios, recording detailed behavioural metrics such as movement trajectories, decision points, and evacuation time. In the case study, 88 % of participants deviated from the designated route at least once, and several intersections showed 10–30 misjudgements. Misjudgement frequency strongly predicted evacuation time, and the optimal signage–broadcast configurations substantially reduced average evacuation times for both hearing-impaired and cognitively impaired participants. The results revealed frequent navigation errors and highlighted guidance combinations tailored to different user needs, such as prominent door and wall signage for hearing-impaired individuals and early verbal alerts aligned with visual cues for those with cognitive impairments. This work introduces a practical tool for loss prevention in the process industries, supporting the design and verification of evacuation systems, training programs, and architectural layouts in alignment with process safety objectives.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105888"},"PeriodicalIF":4.2,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model and mechanism of the impact of water immersion process on the minimum ignition temperature of coal dust","authors":"Lingfeng Wang ,&nbsp;Haiyan Chen ,&nbsp;Zhengdong Liu ,&nbsp;Chang Li ,&nbsp;Chunmiao Yuan","doi":"10.1016/j.jlp.2025.105887","DOIUrl":"10.1016/j.jlp.2025.105887","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Coal dust explosions pose a major threat to the safety of industrial processes involving coal handling and utilization (e.g., coal mining, coal processing, and coal-fired power generation). The Minimum Ignition Temperature (MIT), as a core parameter for evaluating the risk of coal dust explosions in industrial process safety management, is influenced by multiple coupled factors including water immersion time, coalification degree, volatile matter content, and particle size distribution. This study systematically investigates the mechanism by which coal dust characteristics affect the MIT in the context of industrial water-related coal handling processes and builds a multi-factor predictive model using experimental testing and machine learning methods—with the goal of providing a tool for process safety risk mitigation. The Godbert-Greenwald furnace was employed to measure the MIT of coal dust clouds under various water immersion conditions. Key influencing factors were identified through Pearson and Spearman correlation analyses, with a focus on their relevance to process parameter optimization. The XG-Boost algorithm was utilized to develop a predictive model with features such as water immersion time, volatile matter content, active functional group content, median particle size, dust cloud concentration, and wettability. The results indicate that the volatile matter content (Pearson coefficient −0.78, &lt;em&gt;p&lt;/em&gt; &lt; 0.001) and active functional group content (Spearman coefficient −0.71, &lt;em&gt;p&lt;/em&gt; &lt; 0.001) are strongly negatively correlated with MIT, serving as key determinants influencing MIT in coal-related industrial processes. Water immersion time shows a moderate negative correlation with MIT (Spearman coefficient −0.50, &lt;em&gt;p&lt;/em&gt; &lt; 0.001), with prolonged immersion reducing MIT by 60°C—this elucidates how moisture (a controllable process factor) changes the hydroxyl content and pore structure of coal dust surfaces, thereby lowering the activation energy of oxidation and increasing process safety risks. The XG-Boost model ranks feature importance as follows: volatile matter content &gt; active functional group content &gt; water immersion time &gt; wettability &gt; dust cloud concentration &gt; median particle size—providing clear guidance for prioritizing process parameter monitoring. The determination coefficients (&lt;em&gt;R&lt;/em&gt;&lt;sup&gt;&lt;em&gt;2&lt;/em&gt;&lt;/sup&gt;) for the model training and testing datasets are 0.9999 and 0.9512, with average absolute errors (&lt;em&gt;MAE&lt;/em&gt;) of 1.470 × 10&lt;sup&gt;−4&lt;/sup&gt; and 1.647, demonstrating a high level of predictive accuracy for supporting real-time process safety decision-making. This study offers a theoretical foundation for the dynamic assessment of coal dust explosion risks in industrial processes with variable coal quality and controllable process parameters. It is advised that in industrial process safety practice, emphasis should be placed on monitoring volatile matter and active functional grou","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105887"},"PeriodicalIF":4.2,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic fire suppression of n-heptane pool flames using modified expandable graphite and additive-enhanced water mist","authors":"Xin-Yue Ma ,&nbsp;Yan Tang ,&nbsp;Fang-Chao Cao ,&nbsp;Jun-Cheng Jiang ,&nbsp;An-Chi Huang","doi":"10.1016/j.jlp.2025.105883","DOIUrl":"10.1016/j.jlp.2025.105883","url":null,"abstract":"<div><div>This study examines the combined suppression of n-heptane pool fires using modified expandable graphite (EGML) and additive-enhanced water mist (WM-APG-ML). EGML, formulated with MgCl₂·6H₂O and inert additives, generates denser carbon layers during expansion, whereas WM-APG-ML demonstrates diminished surface tension (26.82 mN/m) and smaller droplet size, enhancing flame penetration. Fire suppression trials conducted in a 1.5 m³ chamber revealed that the integrated system extinguished flames within 12 s, utilizing merely 68 g of EGML and 2.5 L of water mist. In comparison to the control group (ABC powder and NaCl water mist), this indicates a 59% decrease in the usage of extinguishing agents. The findings demonstrate that the combination of physical isolation, rapid cooling, and free radical quenching markedly enhances fire-extinguishing efficacy and diminishes the danger of re-ignition, offering a novel approach for oil fire suppression.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105883"},"PeriodicalIF":4.2,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast and continuous synthesis of 1-methyl-2,4-cyclohexanediamine in a micro-packed bed reactor","authors":"Junjie Gu ,&nbsp;Xinglin Wen ,&nbsp;Yong Pan ,&nbsp;Lei Ni","doi":"10.1016/j.jlp.2025.105882","DOIUrl":"10.1016/j.jlp.2025.105882","url":null,"abstract":"<div><div>1-methyl-2,4-cyclohexanediamine (2,4-MCHD) is the core raw material for the synthesis of high-grade polyurethane. Aiming at the problems of long reaction time and safety risks in batch reactors, a fast and safe synthesis scheme of 2,4-MCHD was proposed. <strong>The one-pot catalytic hydrogenation of 2, 4-dinitrotoluene (2, 4-DNT) to 2, 4-MCHD was investigated in a microfilled bed reactor (μPBR)</strong> over the 5 %LiOH-5 %Ru/γ-Al₂O₃ catalyst. The effects of temperature, pressure, gas and liquid volumetric were investigated. Under the optimized condition (180 °C, 7 MPa H₂ pressure, 0.6 mL/min liquid flow rate, 40 mL/min gas flow rate), within a residence time of 144 s, the conversion of 2,4-DNT and the selectivity of 2,4-MCHD exceeded 99 % and 80 %, respectively. Compared to the conventional batch mode, an increase of one to two orders of magnitude in space-time-yield (STY) was realized under continuous flow mode. Furthermore, the inherent risks of high-pressure hydrogenation in batch processes are significantly mitigated in the μPBR due to its minimal hydrogen inventory and superior heat and mass transfer characteristics.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105882"},"PeriodicalIF":4.2,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk assessment and key factors analysis of confined space operation using knowledge graph, association rules mining and Bayesian network","authors":"Huaying Cui ,&nbsp;Jinlong Zhao ,&nbsp;Dina Zhang ,&nbsp;Xin Kong ,&nbsp;Jianping Zhang","doi":"10.1016/j.jlp.2025.105884","DOIUrl":"10.1016/j.jlp.2025.105884","url":null,"abstract":"<div><div>Confined space operation involves working in (semi-)enclosed spaces. While confined space is an important workspace in chemical industry and urban development, there is also an increased risk of injury or even death due to hazardous factors, such as limited entry and exit area or a lack of adequate ventilation. In this paper, an intelligent method was proposed combining knowledge graph (KG), association rules mining (ARM) and Bayesian network (BN) to assess the risk and determine the key factors for confined space operation. First, a causative indicator system was established using 601 previous accidents, for which KG was also constructed to allow automatic extraction of accident causes. Based on the association rules determined by ARM, a risk assessment method was developed using BN. The key factors were analyzed and countermeasures were proposed. The results show that the association between failure to conduct ventilation detection on the site and failure to wear safety protective equipment demonstrates significant correlation strength, while association rule between inadequate safety education and training and failure to wear safety protective equipment also high. By the analysis in BN, it can be seen that the probability of confined space operation accidents is significantly higher (59 %) with the baseline probability of nodes in BN. The other important factors include failure to wear safety protective equipment, blindly rescue, insufficient provision of protective equipment and operation without a license. This study can evaluate the risk and determine key factors in a data-driven manner to reduce the subjectivity, which provides a reference for the targeted safety management of confined space operation.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105884"},"PeriodicalIF":4.2,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of nonuniform methane–air mixture explosions under lateral vent conditions","authors":"Qifen Wu ,&nbsp;Minggao Yu","doi":"10.1016/j.jlp.2025.105880","DOIUrl":"10.1016/j.jlp.2025.105880","url":null,"abstract":"<div><div>This study investigates the explosion characteristics of nonuniform methane–air mixtures under lateral vent conditions, focusing on the interplay between vent positions, pressure dynamics, and flame propagation behaviors. Experiments were conducted in a vertical duct with varying lateral vent configurations, employing uniform and stratified methane–air mixtures. The findings reveal that lateral venting has dual effects of suppression and promotion on explosion intensity. Although vent openings mitigate internal energy and combustible gas accumulation, external explosions triggered by pressure differentials generate backflow that accelerate flame propagation. Specifically, the A1 lateral vent configuration dissipates pressure waves near the vent, minimizing the impact of methane heterogeneity on peak pressures. By contrast, the A2 configuration exhibits overlapping pressure oscillation curves between the uniform and nonuniform mixtures during early stages, with distinct resonance phase divergences in peak timing and magnitude. Top venting demonstrates significantly weaker pressure oscillations compared to lateral setups. Flame propagation transitions from unidirectional upward motion to oscillatory patterns upon vent interaction, with mid-duct lateral vents inducing flame–pressure wave resonance to maximize pressure values. The differences between top and lateral venting stem from directional mismatches: lateral vents facilitate initial flame discharge via lower regions, forming dual-vortex external flames, and top vents maintain columnar downstream propagation. These findings clarify the influence of vent positioning on explosion dynamics and recommend that top vents or bottom near-end side vents be prioritized over mid-duct vents in industrial ducts handling non-uniform methane-air mixtures.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"100 ","pages":"Article 105880"},"PeriodicalIF":4.2,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}