建筑内人员疏散的一种网络模型算法的讨论

针对疏散模型问题进行了一些讨论,在分析疏散模型的基础上,认为网络模型较为适合工程应用,确定发展网络疏散模型。在讨论网络疏散模型路径时,首先将整个建筑物模型划分为四种不同的结构,并假设了模型成立的条件,再按照典型的流量限制原理和该单元内疏散的特点,分别讨论了这四种不同类型的结构的算法。     

Mapping fires and American Red Cross aid using demographic indicators of vulnerability

Social vulnerability indicators can assist with informing disaster relief preparation. Certain demographic segments of a population may suffer disproportionately during disaster events, and a geographical understanding of them can help to determine where to place strategically logistical assets and to target disaster‐awareness outreach endeavours. Records of house fire events and American Red Cross aid provision over a five‐year period were mapped for the County of Los Angeles, California, United States, to examine the congruence between actual events and expectations of risk based on vulnerability theory. The geographical context provided by the data was compared with spatially‐explicit indicators of vulnerability, such as age, race, and wealth. Fire events were found to occur more frequently in more vulnerable areas, and Red Cross aid was found to have an even stronger relationship to those places. The findings suggest that these indicators speak beyond vulnerability and relate to patterns of fire risk.     

Advanced rescue techniques: lessons learned from the collapse of a building in Nairobi, Kenya

This paper examines the collapse of a five-storey building in Nairobi, Kenya, on 23 January 2006. It draws on reports from local authorities and on debriefings by Israel's Home Front Command (HFC), including information on injury distribution, rescue techniques, and the mode of operation. Most of the 117 people found under the structure were evacuated on the first day to a public hospital, which was overwhelmed by the incident. HFC forces arrived 23 hours after the disaster. At that stage, two people were still buried under the building and special techniques (tunnelling and scalping) were required to secure their evacuation. The two people quickly recovered after a short stay in hospital. Local technology is the preferred option during such events because time is crucial. International cooperation is required when this technology is not available. All of the hospitals in the disaster area, including private facilities, should participate in treating casualties.     

大型公共场所人群拥挤踩踏事故机理初探

近年来的事故灾害统计分析表明人群拥挤踩踏事故已逐步成为大型公共聚集场所的主要人为事故灾害类型之一.与火灾等常见人为事故灾害不同,人群拥挤踩踏事故的发生极其突然,社会影响重大.从人群拥挤踩踏事故的致因机理及承载体人群的运动规律开展相关研究,基于风险理论、事故突变等理论方法提出了人群拥挤踩踏事故风险(四阶段)理论,并构建了理论模型,对理论模型中的参数求解进行了阐述.人群拥挤踩踏事故风险理论研究可以为揭示人群聚集相关事故成因机制及形成演变规律提供一些有益的尝试及参考,其中的相关理论模型可供大型建筑(如奥运赛场)性能化设计、人群安全疏散及管理等工作参考.     

Predicting Sustained Fire Spread in Tasmanian Native Grasslands

Fire is widely used in conservation management of native grasslands. Burning is often carried out under conditions that are marginal for sustained fire spread, and therefore it would be useful to be able to predict fire sustainability. There is currently no model allowing such prediction in temperate grasslands. This study aims to identify the environmental variables that determine whether fires will sustain in native grasslands in Tasmania, Australia, and develop a model for predicting fire sustainability in this vegetation. Fuel characteristics and weather conditions were recorded for 111 test fires. Logistic regression modeling identified dead fuel moisture content, fuel load, and percentage dead fuel as predictors of fire sustainability. Classification tree modeling identified dead fuel moisture and fuel load threshold values for sustaining fires. There was also evidence indicating a percentage dead fuel threshold. The logistic regression model and a model combining the results of the classification tree and the percentage dead fuel threshold accurately predicted the outcomes of a small set of experimental fires. These models are likely to have utility in predicting fire sustainability in Tasmanian grasslands and are also likely to be applicable to similar grasslands elsewhere.     

基于MODIS热红外辐射的归一化差异火点指数NDTI研究

本研究使用MODIS红外辐射遥感数据在分析了异常热点光谱辐射特性的基础上,提出一个新的火情监测模型NDTI火点指数,并通过几起较大森林火灾对该模型进行了分析和验证,给出了该监测模型的详细算法.这种双通道比值指数和NDVI一样具有衰减仪器噪声和抵消常规大气影响的优点.研究表明,4 μm火点辐射通道和11 μm背景分量通道的组合突出了火点信息,选择合适的NDTI门限,NDTI指数能够准确检测火点,识别率可达到93%.根据对实时接收轨道的有限实测,由于使用极少的数据集数学运算操作,NDTI模型比MODIS推荐火情算法在计算速度上快两倍以上.EOS MODIS探测器具有多光谱和高光谱以及对热点监测动态范围宽的特点,MODIS的下一代多光谱探测器NPOESS NPP VIIRS同样继承了MODIS的优势,为NDTI算法模型提供了广阔的应用前景.     

消防水幕衰减火灾热辐射的实验研究

通过全尺寸消防水幕衰减火灾热辐射实验,分析了火灾空间烟气温度的分布,探讨了喷头流量和压力、设置高度、喷头类型和布置方式对水幕衰减辐射热能力的影响,获得了不同工况下消防水幕的隔热效率.在此基础上,结合消防水幕的工程设计参数,揭示了消防水幕在不同的设置条件下隔热效率的变化规律.研究结果对于优化消防水幕设计提高隔热效率具有理论和实践上的指导意义.     

学生公寓安全疏散模拟与安全对策研究

高校学生公寓火灾事故会造成严重的财产损失和人员伤亡,选取某高校学生公寓作为研究对象,通过疏散模拟软件Pathfinder建立疏散模型,对人员的紧急疏散过程进行简单的模拟,得出火灾发生时人员安全疏散完毕所需时间,同时结合学生公寓的实际情况提出安全疏散对策,为类似的火灾问题及安全疏散提供借鉴意义.     

基于无人机的火灾检测系统设计与实现

针对传统森林火灾检测手段响应速度慢、效率低、误报率高等问题,设计了无人机搭载的由云台和相机组成的图像采集平台,通过火灾智能识别技术,实时识别监测火灾的发生,并达到了自动抵近侦察及实时态势感知的效果。在火灾智能识别算法方面,提出了improved-YOLOv3算法,通过在特征交互阶段增加yolo层,加强了网络对特征的融合度,从而增加了网络的检测能力。通过与性能相似的网络进行对比测试,验证了改进算法的有效性。测试结果表明,提出的算法检测准确率高、漏检率低、推理速度快,能够适用于实际火灾现场监测。     

海峡两岸非正规聚落火灾现状分析研究

全球城镇化进程显著提高了人民的物质生活水平和城市基础设施。然而,南北半球区域性经济发展不平衡导致全球依然有10亿人居住在生活水平较低和消防防治水平十分落后的非正规聚落中。近些年,国内外非正规聚落火灾频繁发生,但是有关中国大陆和台湾地区非正规聚落的火灾研究却处于初步阶段。为加深对海峡两岸非正规聚落火灾的理解和认识,通过中国大陆和台湾地区学者的合作开展了调查研究,简要概述了两岸非正规聚落的房屋类型和火灾危险性;并调研总结了两岸非正规聚落现有的火灾研究现状;根据两岸非正规聚落的成因和形态,简要总结了其火灾风险和消防问题。研究发现：中国大陆的非正规聚落主要分为棚户区、城中村、群租房、临时住所和部分少数民族传统村落等;台湾地区的非正规聚落主要分为违章使用和既有合法建筑两种形态：违章使用多见于违法分租、铁皮加盖与违法使用(农地自行盖房舍),既有合法建筑主要包括三合院、四合院、古迹历史建筑物和原住民部落等。两岸非正规聚落的房屋类型和火灾隐患具有共性,亟需开展更多的科学研究。