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Multi-scale characterization of industrial infrastructure vulnerability to multiple hazards in their territories 工业基础设施对多种灾害脆弱性的多尺度表征
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-06-01 Epub Date: 2025-02-14 DOI: 10.1016/j.jnlssr.2024.11.004
David Javier Castro Rodriguez, Antonello A. Barresi, Micaela Demichela
Directive 2022/2557 from the European Commission aims to enhance the resilience of critical entities in Europe by integrating with existing European legislation, but it lacks explicit guidance on addressing vulnerabilities. Specifically, major hazard industries (MHIs) are critical infrastructures that face unique risks arising from the interactions of natural and technological hazards (NaTech events); nevertheless, existing policies frequently overlook the potential vulnerabilities of process plants to these complex phenomena. The goal of this research was to systematically characterize the vulnerability of industrial critical infrastructures (ICIs) to various hazards in their territories. A multi-scale procedure was implemented in the Italian context as a case study, where spatial analyses were developed using open data. Starting from the Italian national inventory, the MHIs were clustered in industrial macro-sectors and represented nationally by regions, relating their distribution to meteorological or geophysical data of interest. At the regional scale, the MHIs of the Piedmont Region were represented as punctual elements, associating the population within potential damage zones by province. At the municipal scale, a previously validated multi-hazard tool for vulnerability assessment was then tailored to a reduced scale for specific applications in an industrial context. This adaptation, which considers the two-way interaction between an energetic critical infrastructure and various hazards in its surroundings, delivers a spatial vulnerability profile that may complement the probabilistic analysis of industrial incidental scenarios. In summary, this framework may raise the stakeholders awareness at various levels and with different interests within the industrial accident control decision-making chain, from operators to competent authorities.
欧盟委员会的2022/2557号指令旨在通过与现有的欧洲立法相结合来增强欧洲关键实体的弹性,但它缺乏关于解决脆弱性的明确指导。具体来说,主要危害行业(MHIs)是面临自然灾害和技术灾害(NaTech事件)相互作用所产生的独特风险的关键基础设施;然而,现有的政策经常忽视了加工工厂对这些复杂现象的潜在脆弱性。本研究的目的是系统地描述工业关键基础设施(ici)在其领土内对各种危害的脆弱性。在意大利的背景下实施了一个多尺度程序作为案例研究,其中使用开放数据开发了空间分析。从意大利国家清单开始,MHIs集中在工业宏观部门,并按地区代表全国,将其分布与感兴趣的气象或地球物理数据联系起来。在区域尺度上,山前地区的mhi被表示为准时元素,以省为单位将潜在破坏区内的人口联系起来。在市政规模上,先前经过验证的多灾害脆弱性评估工具随后被量身定制,以缩小规模,适用于工业环境中的特定应用。这种适应性考虑了充满活力的关键基础设施与周围各种危险之间的双向相互作用,提供了一个空间脆弱性概况,可以补充工业事故情景的概率分析。综上所述,该框架可以提高从运营商到主管部门等工业事故控制决策链中各个层面和不同利益相关者的意识。
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引用次数: 0
Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks 通过遗传算法和决策框架优化机场的消防弹性
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-06-01 Epub Date: 2025-02-15 DOI: 10.1016/j.jnlssr.2024.12.002
Yulong Zhu, Wei Tian, Xuhong Jia, Quanyi Liu
Aviation transport infrastructure is key to international commerce and cultural exchange, with any emergency potentially causing major impacts on contemporary society. With advancements in technology and growing societal needs, modern airports are evolving toward smarter and more integrated systems. While transportation engineers and planners aim to bolster resilience in subsystems and transport management with new technologies and diverse strategies for effective risk management, the growing complexity of disaster-inducing factors and fire dynamics in airport systems somewhat diminishes the accuracy of existing risk vulnerability analyses. It drives the demand for enhanced firefighting resilience. This study discusses assessment and improvement strategies for enhancing the resilience of airport firefighting systems in the context of smart airports. Specifically, we analyze the resilience characteristics of airport firefighting systems, which can be subdivided into four dimensions: stability capability, resistance capability, recovery capability, and adaptability capability. Furthermore, by integrating human, mechanical, environmental, and managerial elements, a comprehensive resilience evaluation indicator system is constructed. We propose a modified composite weight calculation framework that innovatively introduces genetic algorithm (GA) in the weight combination process to simplify the model into a constrained minimization problem from a mathematical perspective, thus making the ranking results reflect ordinal and intensity information. The findings highlight the significance of technological advancements, emergency response capabilities, expertise in fire management, cross-departmental collaborative responses, personnel psychological quality, and accident investigation skills in enhancing the resilience of airport firefighting systems. Although the comprehensive evaluation model based on expert knowledge still focuses primarily on resistance, the criterion of adaptation capability has a more pronounced increasing trend in weight under correction, highlighting its significant role and potential in future airport firefighting resilience indicators. This research aims to offer guidance to the aviation sector and managers for devising appropriate protection strategies, thereby improving public safety at airports.
航空运输基础设施是国际商业和文化交流的关键,任何紧急情况都可能对当代社会造成重大影响。随着技术的进步和社会需求的增长,现代机场正朝着更智能、更集成的系统方向发展。虽然交通工程师和规划师希望通过新技术和多样化策略来提高子系统和运输管理的复原力,从而实现有效的风险管理,但机场系统中日益复杂的灾害诱发因素和火灾动态在一定程度上降低了现有风险脆弱性分析的准确性。这促使人们要求加强消防应变能力。本研究讨论了在智慧机场背景下增强机场消防系统抗灾能力的评估和改进策略。具体来说,我们分析了机场消防系统的弹性特征,可细分为四个维度:稳定性能力、抵抗能力、恢复能力和适应能力。此外,通过整合人力、机械、环境和管理等要素,构建了一个综合的弹性评价指标体系。我们提出了一个改进的综合权重计算框架,在权重组合过程中创新性地引入了遗传算法(GA),从数学角度将模型简化为一个受约束的最小化问题,从而使排序结果反映了顺序和强度信息。研究结果凸显了技术进步、应急响应能力、消防管理专业知识、跨部门协作响应、人员心理素质和事故调查技能对提高机场消防系统应变能力的重要意义。虽然基于专家知识的综合评价模型仍以抗灾能力为主,但适应能力标准在修正后的权重有较为明显的上升趋势,凸显了其在未来机场消防抗灾能力指标中的重要作用和潜力。这项研究旨在为航空部门和管理人员制定适当的保护策略提供指导,从而提高机场的公共安全。
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引用次数: 0
A systematic review of safety risk assessment research in China 中国安全风险评价研究的系统回顾
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-10-19 DOI: 10.1016/j.jnlssr.2024.06.012
Chao Chen , Jiali Tang , Jie Li , Genserik Reniers , Changjun Li
The rapid industrialization and urbanization in China require a high level of safety management and thus urge the development of safety risk assessment in China. In the past two decades, many safety risk assessment research findings have been published in international journals by Chinese scholars, while it is not clear the development progress and China's contributions to the world in this research field. Therefore, a systematic and thorough literature review is conducted to investigate risk assessment research in China. Firstly, the research publications authored by Chinese scholars are searched from the well-known literature database Web of Science to support the analysis of risk assessment research in China. Secondly, a bibliometric analysis is conducted for the obtained literature related to risk assessment research in China to find out publication trends, research organizations, research authors, research topics, and research methods. Then, a thorough analysis of research topics and research methods is carried out to present the research progress. Finally, possible future research issues in the risk assessment research domain are discussed based on this literature review. According to the discussion, more attention in China should be paid to the risk of digital or autonomous systems, the risk related to extreme events, and the risk in large cities.
中国快速的工业化和城市化对安全管理提出了更高的要求,从而推动了安全风险评估在中国的发展。在过去的二十年里,中国学者在国际期刊上发表了许多安全风险评估的研究成果,但中国在这一研究领域的发展进展和对世界的贡献并不清楚。因此,本文对中国的风险评估研究进行了系统而深入的文献综述。首先,从知名文献数据库Web of Science检索中国学者发表的研究论文,支持对中国风险评估研究的分析。其次,对已获得的国内风险评估研究相关文献进行文献计量分析,找出发表趋势、研究机构、研究作者、研究课题、研究方法等。然后,对研究课题和研究方法进行了深入的分析,展示了研究进展。最后,在文献综述的基础上,对未来风险评估研究领域可能存在的问题进行了探讨。根据讨论,中国应该更多地关注数字或自主系统的风险,与极端事件相关的风险以及大城市的风险。
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引用次数: 0
Grasping emergency dynamics: A review of group evacuation techniques and strategies in major emergencies 把握紧急情况动态:重大突发事件中的集体疏散技术和策略综述
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-09-14 DOI: 10.1016/j.jnlssr.2024.05.006
Hai Sun , Guorui Han , Xiaowei Zhang , Xuejing Ruan
Major sudden disasters, such as floods, earthquakes, and fires, often cause significant casualties. Emergency evacuation is crucial in mitigating these impacts. Different types of disaster incidents vary significantly in terms of impact scope, suddenness, and urgency. Each type of disaster possesses distinct characteristics, necessitating varying requirements for emergency evacuation. Consequently, we conducted a bibliometric analysis and visual mapping of evacuation processes in major natural disasters from 2004-2023, analyzing 7213 publications from the Web of Science database via VOSviewer and ArcGIS. Our study identified three developmental phases: an initial phase (pre-2011) with 1169 publications, a growth phase (2012-2018) with 2772 publications, and an expansion phase (post-2019) with 3335 publications. This study provides a comprehensive review and classification of emergency evacuation theories and methods in major disaster scenarios. It emphasizes the necessity of assessing the scope and intensity of different types of major emergent disasters, defining and simulating the affected behaviors of the influenced populations, and formulating differentiated emergency evacuation strategies accordingly. Keyword analysis reveals two main trends supporting these findings: an increasing focus on complex evacuation modeling and simulation techniques, manifested in the application of various simulation-optimized microscopic and macroscopic models such as cellular automata, social force models, agent-based models, pedestrian flow, and network flow models, enhancing disaster understanding and prediction capabilities; and the strategic development of tailored evacuation strategies for specific disaster contexts, thereby improving disaster response efficiency. Three key future pathways for safety evacuation research are outlined: refining evacuation behavior models for greater accuracy, improving the coordination of complex, multi-level evacuation procedures, and integrating indoor and outdoor evacuation strategies more seamlessly. It establishes a forward-looking framework for advancing safety evacuation studies in major emergencies.
洪水、地震和火灾等重大突发灾害往往会造成重大人员伤亡。紧急疏散对于减轻这些影响至关重要。不同类型的灾害事件在影响范围、突发性和紧迫性方面存在很大差异。每种类型的灾害都具有不同的特点,因此对紧急疏散的要求也不尽相同。因此,我们通过 VOSviewer 和 ArcGIS 对科学网数据库中的 7213 篇出版物进行了分析,对 2004-2023 年重大自然灾害中的疏散过程进行了文献计量分析和可视化绘图。我们的研究确定了三个发展阶段:初始阶段(2011 年前),共发表 1169 篇论文;增长阶段(2012-2018 年),共发表 2772 篇论文;扩展阶段(2019 年后),共发表 3335 篇论文。本研究对重大灾难情景下的紧急疏散理论和方法进行了全面回顾和分类。它强调了评估不同类型重大突发灾害的范围和强度、定义和模拟受影响人群的受影响行为以及制定相应的差异化紧急疏散策略的必要性。关键词分析揭示了支持这些发现的两大趋势:一是越来越重视复杂的疏散建模和仿真技术,表现为应用各种仿真优化的微观和宏观模型,如蜂窝自动机、社会力模型、基于代理的模型、人流和网络流模型等,增强对灾害的理解和预测能力;二是针对特定灾害背景制定有针对性的疏散策略,从而提高灾害响应效率。报告概述了未来安全疏散研究的三条主要途径:改进疏散行为模型以提高准确性、改善复杂的多层次疏散程序的协调性以及更完美地整合室内外疏散策略。它为推进重大紧急情况下的安全疏散研究建立了一个前瞻性框架。
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引用次数: 0
Novel explicit models for assessing the frictional resistance of pipe piles subjected to seismic effects 评估地震作用下管桩摩阻力的新显式模型
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-08-15 DOI: 10.1016/j.jnlssr.2024.06.010
Duaa Al-Jeznawi , Laith Sadik , Saif Alzabeebee , Musab Aied Qissab Al-Janabi , Suraparb Keawsawasvong
This paper introduces novel explicit models to predict the frictional resistance of open and closed-ended pipe piles subjected to seismic loading. This research employs genetic programming (GP) and multiobjective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA) to develop closed-form expressions for estimating pile frictional resistance, utilizing widely used input parameters for enhanced practicality and applicability in engineering practice. The proposed models are developed using only three input variables: the corrected standard penetration test (SPT) blow count (N1)60, the pile slenderness ratio (L/D), and the peak ground acceleration (PGA). This deliberate reduction in input complexity significantly enhances the models' applicability across a wide range of geotechnical scenarios and industries. The accuracy of the developed models was assessed via the coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE). In the case of the GP model, the evaluation metrics for the testing set for open-ended piles (R2, RMSE, and MAE values) are 0.89, 0.43, and 0.35, respectively, whereas the corresponding values for closed-ended piles are 0.93, 0.38, and 0.3, respectively. On the other hand, the EPR-MOGA approach achieves similarly encouraging results, with performance metrics of 0.92, 0.37, and 0.29 for open-ended piles and 0.91, 0.39, and 0.30 for closed-ended piles.
本文引入了新的显式模型来预测地震荷载作用下开端和闭端管桩的摩阻力。本研究采用遗传规划(GP)和基于多目标遗传算法的进化多项式回归(EPR-MOGA),利用广泛使用的输入参数,建立了估算桩侧摩阻力的封闭表达式,以增强工程实践中的实用性和应用性。所提出的模型仅使用三个输入变量:修正的标准贯入试验(SPT)吹风计数(N1)60,桩长细比(L/D)和峰值地面加速度(PGA)。这种刻意降低输入复杂性的做法显著提高了模型在岩土工程场景和行业中的适用性。通过决定系数(R2)、均方根误差(RMSE)和平均绝对误差(MAE)来评估所建立模型的准确性。在GP模型中,开放式桩测试集的评价指标(R2、RMSE和MAE值)分别为0.89、0.43和0.35,封闭式桩测试集的评价指标分别为0.93、0.38和0.3。另一方面,EPR-MOGA方法取得了同样令人鼓舞的结果,开放式桩的性能指标为0.92、0.37和0.29,封闭式桩的性能指标为0.91、0.39和0.30。
{"title":"Novel explicit models for assessing the frictional resistance of pipe piles subjected to seismic effects","authors":"Duaa Al-Jeznawi ,&nbsp;Laith Sadik ,&nbsp;Saif Alzabeebee ,&nbsp;Musab Aied Qissab Al-Janabi ,&nbsp;Suraparb Keawsawasvong","doi":"10.1016/j.jnlssr.2024.06.010","DOIUrl":"10.1016/j.jnlssr.2024.06.010","url":null,"abstract":"<div><div>This paper introduces novel explicit models to predict the frictional resistance of open and closed-ended pipe piles subjected to seismic loading. This research employs genetic programming (GP) and multiobjective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA) to develop closed-form expressions for estimating pile frictional resistance, utilizing widely used input parameters for enhanced practicality and applicability in engineering practice. The proposed models are developed using only three input variables: the corrected standard penetration test (SPT) blow count (<em>N</em><sub>1</sub>)<sub>60</sub>, the pile slenderness ratio (<em>L</em>/<em>D</em>), and the peak ground acceleration (PGA). This deliberate reduction in input complexity significantly enhances the models' applicability across a wide range of geotechnical scenarios and industries. The accuracy of the developed models was assessed via the coefficient of determination (<em>R</em><sup>2</sup>), root mean squared error (RMSE), and mean absolute error (MAE). In the case of the GP model, the evaluation metrics for the testing set for open-ended piles (<em>R</em><sup>2</sup>, RMSE, and MAE values) are 0.89, 0.43, and 0.35, respectively, whereas the corresponding values for closed-ended piles are 0.93, 0.38, and 0.3, respectively. On the other hand, the EPR-MOGA approach achieves similarly encouraging results, with performance metrics of 0.92, 0.37, and 0.29 for open-ended piles and 0.91, 0.39, and 0.30 for closed-ended piles.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 29-37"},"PeriodicalIF":3.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent emergency assisted decision-making method based on standard digitalization: Hazardous chemical accidents in industrial parks 基于标准数字化的工业园区危险化学品事故智能应急辅助决策方法
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-08-16 DOI: 10.1016/j.jnlssr.2024.06.009
Zhenxiang Tao , Xiaohan Liu , Ying Li , Peifeng Hu , Weitong Tang , Ning Luo , Jiansong Wu , Rui Yang
Contemporary society is confronted with multifaceted challenges, and the intricate interplay of interconnected factors significantly complicates emergency response efforts. Current practices rely on quick decisions by domain experts; however, the limitations of individual expertise and the urgency of crises hinder both precision and standardization. To address these issues, we propose a novel approach: an intelligent method for emergency decision-making grounded in a standardized digital knowledge graph. First, our study examined the underlying theory of standardized digital transformation and event-chain evolution. This led to the construction of a knowledge graph encompassing standard emergency knowledge, as well as supplementary derivative data pertinent to event response. Second, through the application of semantic analysis and intention recognition of the decision target, coherent and interpretable query sentences for the decision system were crafted. These query sentences then served as a conduit for retrieving standard emergency knowledge relevant to the current emergency situation, as well as potential secondary disasters. The overarching goal is to provide emergency decision makers with effective support mechanisms that are both well informed and tailored to the specific demands of each situation.
当代社会面临着多方面的挑战,相互关联的因素错综复杂的相互作用使应急响应工作大大复杂化。当前的实践依赖于领域专家的快速决策;然而,个人专业知识的局限性和危机的紧迫性阻碍了准确性和标准化。为了解决这些问题,我们提出了一种新颖的方法:一种基于标准化数字知识图的应急决策智能方法。首先,我们的研究考察了标准化数字化转型和事件链演化的基础理论。这导致构建了一个包含标准应急知识的知识图,以及与事件响应相关的补充衍生数据。其次,通过对决策目标的语义分析和意图识别,为决策系统构建连贯、可解释的查询语句。然后,这些查询语句作为检索与当前紧急情况以及潜在的次生灾害相关的标准应急知识的渠道。首要目标是向紧急情况决策者提供有效的支助机制,这些机制既了解情况,又适合每种情况的具体需求。
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引用次数: 0
Analysis of fire evacuation scenarios in children's cultural centers 儿童文化中心火灾疏散场景分析
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-11-18 DOI: 10.1016/j.jnlssr.2024.08.002
Muammer Yaman , Cüneyt Kurtay
Fires that occur in assembly buildings cause great loss of life and property. Children's cultural centers included in assembly buildings should also be evaluated within this context. Children create an occupant profile in cultural centers, and the internal environment has an excessive fire load, which poses a great risk of fires. In fire evacuation scenarios for children's cultural centers, it is necessary to create appropriate evacuation conditions. In this work, fire safety was analyzed over total evacuation time within occupant-based fire evacuation simulations of a children's cultural center located in Istanbul. The effect of the children's theatre hall located on the top floor on a building's total evacuation time has been studied. The effectiveness of alternative fire escape routes on evacuation time through different evacuation scenarios has been analyzed, and safe evacuation strategies for children's cultural centers have been revealed. As a result of this study, recommendations were presented within performance-based fire evacuation strategies in the design of children's cultural centers. As the future of the countries, fire safety design criteria have been created in children's cultural centers for children to be able to be safe in educational, cultural, and artistic environments.
发生在装配大楼的火灾会造成巨大的生命和财产损失。装配建筑中的儿童文化中心也应在此背景下进行评估。儿童在文化中心创造了一个居住者的形象,而内部环境有过大的火灾负荷,这带来了很大的火灾风险。在儿童文化中心火灾疏散场景中,需要创造适宜的疏散条件。在这项工作中,在伊斯坦布尔儿童文化中心基于乘员的火灾疏散模拟中,分析了消防安全在总疏散时间内的情况。儿童剧院大厅位于建筑物的顶层,对建筑物的总疏散时间的影响进行了研究。分析了不同疏散场景下备选消防逃生路线对疏散时间的影响,揭示了儿童文化中心的安全疏散策略。根据这项研究的结果,在儿童文化中心设计中提出了基于性能的消防疏散策略建议。作为国家的未来,儿童文化中心制定了消防安全设计标准,使儿童在教育、文化和艺术环境中能够安全。
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引用次数: 0
An efficient and resilience linear prefix approach for mining maximal frequent itemset using clustering 利用聚类挖掘最大频繁项集的一种高效且具有弹性的线性前缀方法
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-10-19 DOI: 10.1016/j.jnlssr.2024.08.001
M. Sinthuja , S. Pravinthraja , B K Dhanalakshmi , H L Gururaj , Vinayakumar Ravi , G Jyothish Lal
The numerous volumes of data generated every day necessitate the deployment of new technologies capable of dealing with massive amounts of data efficiently. This is the case with Association Rules, a tool for unsupervised data mining that extracts information in the form of IF-THEN patterns. Although various approaches for extracting frequent itemset (prior step before mining association rules) in extremely large databases have been presented, the high computational cost and shortage of memory remain key issues to be addressed while processing enormous data. The objective of this research is to discover frequent itemset by using clustering for preprocessing and adopting the linear prefix tree algorithm for mining the maximal frequent itemset. The performance of the proposed CL-LP-MAX-tree was evaluated by comparing it with the existing FP-max algorithm. Experimentation was performed with the three different standard datasets to record evidence to prove that the proposed CL-LP-MAX-tree algorithm outperform the existing FP-max algorithm in terms of runtime and memory consumption.
每天产生的大量数据需要部署能够有效处理大量数据的新技术。Association Rules就是这种情况,Association Rules是一种用于无监督数据挖掘的工具,它以IF-THEN模式的形式提取信息。虽然已经提出了各种方法来提取超大型数据库中的频繁项集(挖掘关联规则之前的步骤),但在处理海量数据时,计算成本高和内存不足仍然是需要解决的关键问题。本研究的目的是通过聚类预处理发现频繁项集,并采用线性前缀树算法挖掘最大频繁项集。通过与现有的FP-max算法进行比较,评价了所提出的CL-LP-MAX-tree算法的性能。在三种不同的标准数据集上进行实验,记录证据,证明所提出的CL-LP-MAX-tree算法在运行时间和内存消耗方面优于现有的FP-max算法。
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引用次数: 0
Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations 结合贝叶斯网络和MCDA方法,在紧急情况下侦察时最大限度地获取信息
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-08-22 DOI: 10.1016/j.jnlssr.2024.07.001
Daniel Lichte
In the immediacy of an event that disrupts the operation of an infrastructure, the time between its occurrence and the arrival of qualified personnel for emergency response can be valuable. For example, it can be used for gathering information about the status of the infrastructure by using automated reconnaissance devices. In an operation that precedes the intervention of human first responders, such devices can gather information about the situation, providing knowledge about the locations of stressors (e.g. fire), the inaccessibility of parts of the infrastructure or the presence of hazardous materials. In this study, we show how a Bayesian Networks can be used for knowledge representation and how it can be combined with methods from the realm of Multi-Criteria Decision Analysis (MCDA) for situation reconnaissance and route-optimisation in emergency situations, where different criteria (current belief about the location of zones of special interest, such as emergency exits, distance to the next point of interest, etc.) can be considered. As an example, we consider the case of an outbreak of a fire in a building. A pedantic check of all rooms by an automated reconnaissance device would take too long and thus delay intervention. Due to the limited time in which the building can be explored, the route is optimised to gather the greatest possible amount of information in the available time window. Results show how it is possible to maximise the information collected in a limited time window. This is done by discovering the location of fire and any hazardous materials through causal inferences automatically calculated by the Bayesian network. Route optimisation is facilitated by sequential MCDA using a parameter selection that meets the priorities of the specific application example.
在立即发生破坏基础设施运行的事件时,从事件发生到合格的应急人员到达之间的时间可能是宝贵的。例如,它可以通过使用自动侦察设备来收集有关基础设施状态的信息。在人类第一响应者介入之前的行动中,这种装置可以收集有关情况的信息,提供有关压力源位置(例如火灾)、部分基础设施难以接近或存在有害物质的知识。在本研究中,我们展示了如何将贝叶斯网络用于知识表示,以及如何将其与多标准决策分析(MCDA)领域的方法相结合,用于紧急情况下的态势侦察和路线优化,其中可以考虑不同的标准(关于特殊利益区域位置的当前信念,例如紧急出口,到下一个利益点的距离等)。作为一个例子,我们考虑在建筑物中发生火灾的情况。通过自动侦察装置对所有房间进行迂腐的检查将花费太长时间,从而延误干预。由于探索建筑物的时间有限,因此优化了路线,以便在可用的时间窗口内收集尽可能多的信息。结果表明,如何在有限的时间窗口内最大限度地收集信息。这是通过贝叶斯网络自动计算的因果推理来发现火灾和任何危险物质的位置来完成的。通过使用符合特定应用示例优先级的参数选择,顺序MCDA促进了路由优化。
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引用次数: 0
Effects of firefighters’ protective gloves on physiological responses, psychological responses, and manual performance in a cold environment 低温环境下消防员防护手套对生理反应、心理反应和体力活动的影响
IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2025-03-01 Epub Date: 2024-09-12 DOI: 10.1016/j.jnlssr.2024.07.002
Jie Yang , Xiaoxue Yan
This study aimed to investigate the effects of firefighters' protective gloves on physiological responses, psychological responses, and manual performance in a cold environment through human trials. Twelve participants wearing firefighter protective equipment were exposed to a 16 °C environment, while their hands were exposed to a small chamber of 0 °C with (FPG) and without (CON) firefighting protective gloves. During the trials, physiological responses (core temperature (Tc), the mean skin temperature (Tsk), and heart rate (HR)), psychological responses (thermal sensation vote (TSV) and pain sensation vote (PSV)), and manual performance (handgrip strength, manual dexterity, maximum finger flexion, and tactile sensitivity)) were obtained. The results indicated a significant difference (p < 0.05) between FPG and CON regarding Tsk. Furthermore, pain sensation occurred when the mean skin temperature of the hand was between 15 °C and 20 °C. Gloves significantly (p < 0.05) reduced handgrip strength, manual dexterity, and tactile sensitivity in the cold exposure. This study provides fundamental knowledge for cold strain assessment and high-performance protective glove development with the potential to improve firefighters’ safety and health.
本研究旨在通过人体试验,探讨消防员防护手套对低温环境下消防员生理反应、心理反应和体力活动的影响。12名戴着消防防护装备的参与者暴露在16°C的环境中,而他们的手则暴露在0°C的小房间里,戴着(FPG)和不戴(CON)消防防护手套。在试验过程中,获得了生理反应(核心温度(Tc)、平均皮肤温度(Tsk)和心率(HR))、心理反应(热感觉投票(TSV)和疼痛感觉投票(PSV))和手动性能(握力、手灵巧度、手指最大屈曲度和触觉灵敏度)。结果显示有显著差异(p <;FPG和CON在tk上的差异为0.05)。此外,当手的平均皮肤温度在15°C至20°C之间时,会发生痛觉。手套明显(p <;0.05)暴露在寒冷环境中,手部握力、手的灵巧性和触觉敏感性降低。本研究为冷应变评估和高性能防护手套的开发提供了基础知识,具有改善消防员安全和健康的潜力。
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安全科学与韧性(英文)
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