共查询到19条相似文献，搜索用时 246 毫秒
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火灾危害人们的财产和生命安全,因此对消防火灾人群疏散特点进行建模分析,具有重要的实际应用价值。结合消防火灾人群疏散特点,设计了一种基于智能体的消防火灾人群疏散模型。首先对消防火灾人群疏散研究现状进行分析,找出当前消防火灾人群疏散模型存在缺陷,然后根据消防火灾人群的移动特征设计智能体的行为模型,模拟火灾人群逃生过程,最后采用仿真实验分析该模型的有效性。结果表明,本文模型克服了当前消防火灾人群疏散模型的局限性,可以更好的刻画消防火灾人群疏散的人员行为,可以为处理消防火灾人群疏散问题提供有价值的参考信息。 相似文献
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为了评估某二层复式住宅在发生火灾时的人员逃生安全性,设定了火灾场景,首先用Pyro Sim软件对该住宅的各个逃生口温度,烟气浓度以及烟气层高度进行模拟;然后根据相关资料得出人体对烟气浓度,环境温度的承受极限,得出可用疏散时间TASET为70 s;然后用Pathfinder软件对人员的疏散进行模拟,通过观察比较得出必需疏散时间TRSET为27.5 s;结果表明可用疏散时间TASET大于必需疏散时间TRSET。研究结论为,当该二层复式住宅突发设定的火灾时,住宅内人员可以安全逃生。 相似文献
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人员疏散软件STEPS对建筑内人员疏散进行模拟计算,利用烟气模拟软件FDS对建筑内火灾烟气流动情况进行模拟计算分析环境中人员逃生和灭火救援环境,定量的判建筑内人员及消防队在火灾中疏散安全性。 相似文献
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根据遗传算法和人工蜂群算法各自特点,在遗传算法框架上,利用人工蜂群算法中跟随蜂选择\搜索策略,代替遗传算法中的变异操作,提出一种基于人工蜂群算法跟随蜂选择\搜索的混合遗传算法,并应用到0-1背包问题中。实验结果表明了该算法的有效性。 相似文献
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近几年来,地震、火灾等自然灾害频繁发生,恐怖袭击事件突发频率也呈日益攀升之势,公共安全问题成为社会热点,灾难突发时人员疏散问题的建模与仿真技术成为研究热点。立足已有的元胞自动机模型,充分考虑了人员在疏散时的心理特点和行为特点,提出了一种改进的元胞自动机模型,通过改进的元胞自动机模型对人员疏散问题进行建模与仿真,更加真实再现了行为人在紧急疏散时表现出来的从众性和自组织性,其研究成果为人群疏散仿真研究提供了有力支持。 相似文献
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浅谈高层建筑火灾的安全疏散 总被引：1，自引：0，他引：1
高层建筑层数多、体积大、人员集中,人员疏散困难,发生火灾时如果不能迅速有效地使人员进入安全区域,极易造成群死群伤的严重后果。本文就高层建筑火灾特点进行分析,综述了高层建筑疏散设施的技术要求,提出了火灾条件下实施人员疏散的措施,并对疏散设施的安全管理提出了几点要求。 相似文献
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本文主要从火灾被困人员心理行为入手，只有认识火灾事故中人所表现出来的心理行为规律，才能了解到在火灾危险状态下人的行为表现，以用于实际，有利于针对性的制定相应的疏散引导方案，从而在现实中确保人员安全疏散。分析火灾特性对人员产生的不同刺激作用以及这些不同的心理反应和行为表现对安全逃生疏散的影响进行探讨和分析。 相似文献
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本文针对标准人工蜂群算法开发能力较弱的缺点,借鉴粒子群算法的思想,将全局最优解引入,与引领蜂进行交叉操作,使蜂群进行有引导的探索,通过基准函数的测试,证明了改进后的算法性能有所提高。 相似文献
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随着越来越多的高层建筑的出现,消防安全隐患日益增多。本文通过分析目前国内高层建筑的火灾特点,提出了具有现实性和可操作性的高层建筑火灾逃生自救措施,并对进一步加强高层建筑的消防工作提出建议。 相似文献
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Ahmadreza Abazari Mehdi Ghazavi Dozein Hassan Monsef 《Journal of The Franklin Institute》2018,355(14):6262-6285
This paper introduces a new load frequency control (LFC) model in the presence of high wind power penetration level. The main issue in a wind-penetrated power system is to maintain the system frequency in a normal operating band which is specified by the given system grid codes. Essentially, the power system equilibrium point changes following a contingency, and in this case, the high penetration of wind farms makes it harder to regain an acceptable system equilibrium points through conventional control applications. In order to overcome the aforesaid problem, a new Fuzzy-logic controller is designed optimally in this paper using the artificial bee colony (ABC) algorithm. In this approach, the ABC algorithm tunes the membership function parameters of the Fuzzy controller to acquire a good-enough performace of the proposed strategy. More importantly, the proposed Fuzzy-logic controller is blessed with robustness, simplicity, and reliability in order to ameliorate the frequency deviation. It is worth saying that the stability analysis is presented in this paper as well as the noise analysis of the proposed method. The research results indicates how effectively wind farm could participate in the system frequency control through inertial control, primary frequency control, and supplementary frequency control. 相似文献
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《Journal of The Franklin Institute》2021,358(18):9975-10003
Distributed coordination of multi-agent systems (MASs) has been investigated for many years, and fractional-order calculus has been proved that it can model the dynamics more accurately in certain circumstances. Hence, in this paper, combining the above two aspects, the distributed coordination of fractional-order MASs (FOMASs) is researched, which is a promising topic. Besides, in this paper, the uncertainty, inherent nonlinearity and external disturbances are taken into consideration, aiming at achieving the robust consensus tracking. In particular, the uncertain parameters will be identified from an optimization perspective using artificial bee colony algorithm (ABC). Firstly, to ameliorate the performance of the standard ABC, a hybrid ABC (hABC) incorporating two groups of searching mechanisms is designed, it facilitates the identification of unknown parameters. After obtaining the identified parameters, an efficient distributed nonlinear controller is raised to fulfill the robust consensus tracking. Finally, experiments prove that the designed parameters identification approach can successfully estimate the uncertain parameters with high accuracy, besides the designed control algorithm can robustly control the FOMASs. 相似文献
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本文探讨了以民用建筑消防实际设计工程中遇到的几个问题,基于对建筑设计防火规范的理解存在着不同理解所致的对建筑设计本身带来一定的设计困难。如建筑体积的算法、底层为商业场所的住宅是否应设置消火栓系统、消防栓的布置、管网上阀门设置等问题进行了分析和讨论。 相似文献
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考虑情绪参数有助于增强群体动画的可信性,基于相关研究,提出了智能体在紧急情况下的情绪模型,构造了情绪值的公式,并给出了逃生算法。采用微软DirectX3D实现一个剧场火灾逃生原型系统,初步的结果表明,该模型可以模拟群体逃生中的情绪传播。 相似文献
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《Journal of The Franklin Institute》2017,354(11):4457-4480
Due to the hopeful application of gathering information from unreachable position, wireless sensor network creates an immense challenge for data routing to maximize the communication with more energy efficiency. In order to design the energy efficient routing, the optimization based clustering protocols are more preferred in wireless sensor network. In this paper, we have proposed competent optimization based algorithm called Fractional lion (FLION) clustering algorithm for creating the energy efficient routing path. Here, the proposed clustering algorithm is used to increase the energy and lifetime of the network nodes by selecting the rapid cluster head. In addition, we have proposed multi-objective FLION clustering algorithm to develop the new fitness function based on the five objectives like intra-cluster distance, inter-cluster distance, cluster head energy, normal nodes energy and delay. Here, the proposed fitness function is used to find the rapid cluster centroid for an efficient routing path. Finally, the performance of the proposed clustering algorithm is compared with the existing clustering algorithms such as low energy adaptive clustering hierarchy (LEACH), particle swarm optimization (PSO), artificial bee colony (ABC) and Fractional ABC clustering algorithm. The results proved that the lifetime of the wireless sensor nodes is maximized by the proposed FLION based multi-objective clustering algorithm as compared with existing protocols. 相似文献
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高层建筑在世界范围内发展迅速,而其防火救灾却未得到相应提高。本文分析了近两年我国高层建筑火灾经典案例硬世界特大火灾案例,通过对比总结出了我国高层建筑火灾特最。同时进一步阐述了高层建筑结构在火灾救助不及时的情况t经受长时间高温后的破坏机理。最后提出了高层建筑火灾预防与救助的新举措。 相似文献
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基于混沌神经网络的项目投资风险评价模型研究 总被引：1，自引：0，他引：1
针对神经网络在搜索寻优过程中存在的收敛速度慢、易陷入局部极小值这一问题,将混沌理论和神经网络有机结合,构造混沌学习算法,建立了基于混沌神经网络的综合风险评价模型,该模型充分利用混沌运动的遍历特性,加快了训练速度,使其收敛于全局最优解。将此模型应用于项目投资风险综合评价的结果表明,该模型具有一定可操作性和实用性。 相似文献