Territorial Potential Risk as a Comprehensive Fire Safety Indicator

A. Ryzhenko
{"title":"Territorial Potential Risk as a Comprehensive Fire Safety Indicator","authors":"A. Ryzhenko","doi":"10.21467/abstracts.93.72","DOIUrl":null,"url":null,"abstract":"Book DOI: 10.21467/abstracts.93 the same time possible conflicts of strong differences defining artificial peak of partially smooth surface are eliminated). As mentioned earlier. The developed model is use to form passports of territories of subjects of the Russian Federation when assessing complex fire risk indicators. The sequence of using the model functionality to add a map-bound risk field is as follows: map zone of influence is defined: residential (red), industrial (yellow) and eco (green) zones are identified; a uniform grid is applied with zero matrix indicators of heights indicators of potential-territorial risk; objects are identified probabilistic sources of potential accidents, indicated on the terrain map, ambient space is detailed; fault scenario trees are generated for each object, indicators are applied for each branch, all possible scenarios are considered, from the most frequent (according to statistics) to the scenario with the worst consequences; for each scenario, a mathematical model of consequences is built, linear graphs of dependence of the damage factor on distance are built, individual risks are calculated to the maximum value with zero damage index; risk indicators are transferred to the social risk matrix; Map-bound scenarios are synthesized for the worst-case variant, BLEAVE (influence of neighboring objects), new extended-type scenario trees are formed; the obtained risk indicators are transferred to the cells of the potential-territorial risk matrix a height map (affine coordinate system) is formed; using a shadow mask, the height matrix is converted into a risk field, superimposed on a cartographic basis (non-uniform grid based on isolines). The received field is quite dynamic. Since you have built in a date-based source data key figure change system, you can track the sequence in which risk key figures are convert at each node or cell in the matrix. The effect of multi-texturing on the three-dimensional surface allows to superimpose the zones of damage of scenarios and the zones of risk of damage simultaneously in the same color range, which in commandstaff exercises helps to justify decisions, as well as to predict possible consequences at the early stages of emergency development or fires. Now, scenarios of border territories are also being worked out, in which the target trees are four, and the intersections between development scenarios are controlled by a separate independent interpreter, which allows to cut off duplication of activities of the attracted forces and funds of border States. Acknowledgements: The presented work is supported by the grant Russian Foundation for Fundamental Research, RFFR 18-07-00615 A \"Development and integration of methods of local and systematic search based on matrix representation of non-numerical dependencies to effectively solve problems of meeting restrictions in poorly formalized subject areas.\"","PeriodicalId":176768,"journal":{"name":"Abstracts of The Second Eurasian RISK-2020 Conference and Symposium","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Abstracts of The Second Eurasian RISK-2020 Conference and Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21467/abstracts.93.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Book DOI: 10.21467/abstracts.93 the same time possible conflicts of strong differences defining artificial peak of partially smooth surface are eliminated). As mentioned earlier. The developed model is use to form passports of territories of subjects of the Russian Federation when assessing complex fire risk indicators. The sequence of using the model functionality to add a map-bound risk field is as follows: map zone of influence is defined: residential (red), industrial (yellow) and eco (green) zones are identified; a uniform grid is applied with zero matrix indicators of heights indicators of potential-territorial risk; objects are identified probabilistic sources of potential accidents, indicated on the terrain map, ambient space is detailed; fault scenario trees are generated for each object, indicators are applied for each branch, all possible scenarios are considered, from the most frequent (according to statistics) to the scenario with the worst consequences; for each scenario, a mathematical model of consequences is built, linear graphs of dependence of the damage factor on distance are built, individual risks are calculated to the maximum value with zero damage index; risk indicators are transferred to the social risk matrix; Map-bound scenarios are synthesized for the worst-case variant, BLEAVE (influence of neighboring objects), new extended-type scenario trees are formed; the obtained risk indicators are transferred to the cells of the potential-territorial risk matrix a height map (affine coordinate system) is formed; using a shadow mask, the height matrix is converted into a risk field, superimposed on a cartographic basis (non-uniform grid based on isolines). The received field is quite dynamic. Since you have built in a date-based source data key figure change system, you can track the sequence in which risk key figures are convert at each node or cell in the matrix. The effect of multi-texturing on the three-dimensional surface allows to superimpose the zones of damage of scenarios and the zones of risk of damage simultaneously in the same color range, which in commandstaff exercises helps to justify decisions, as well as to predict possible consequences at the early stages of emergency development or fires. Now, scenarios of border territories are also being worked out, in which the target trees are four, and the intersections between development scenarios are controlled by a separate independent interpreter, which allows to cut off duplication of activities of the attracted forces and funds of border States. Acknowledgements: The presented work is supported by the grant Russian Foundation for Fundamental Research, RFFR 18-07-00615 A "Development and integration of methods of local and systematic search based on matrix representation of non-numerical dependencies to effectively solve problems of meeting restrictions in poorly formalized subject areas."
区域潜在风险作为综合消防安全指标
图书DOI: 10.21467/abstracts。(93)同时消除了部分光滑表面的人为峰的强差可能产生的冲突。如前所述。开发的模型用于在评估复杂的火灾风险指标时形成俄罗斯联邦主体领土的护照。使用模型功能添加地图绑定风险字段的顺序如下:定义地图影响区域:确定居住区(红色)、工业区(黄色)和生态区(绿色);采用均匀网格,用零矩阵指标表示高度和潜在地域风险指标;识别出物体的潜在事故概率源,在地形图上注明,环境空间详细;针对每个对象生成故障场景树,针对每个分支应用指标,考虑所有可能的故障场景,从最频繁(根据统计)到后果最严重的场景;针对每一种情况,建立了后果的数学模型,建立了损伤因子与距离的线性关系图,计算个体风险至损伤指数为零时的最大值;风险指标转化为社会风险矩阵;针对最坏情况变体BLEAVE(邻点影响),合成地图绑定场景,形成新的扩展型场景树;将得到的风险指标转移到潜在地域风险矩阵的单元中,形成高度图(仿射坐标系);使用阴影遮罩,将高度矩阵转换为风险场,叠加在制图基础上(基于等值线的非均匀网格)。接收到的磁场是动态的。由于您已经构建了基于日期的源数据键图更改系统,因此您可以跟踪在矩阵中的每个节点或单元中转换风险键图的顺序。三维表面的多重纹理效果允许在同一颜色范围内同时叠加情景的受损区域和受损风险区域,这在指挥人员演习中有助于证明决策的合理性,并在紧急情况发展或火灾的早期阶段预测可能的后果。现在,也正在制订边界领土的设想,其中目标树有四个,发展设想之间的交叉点由一名独立的口译员控制,这样可以避免边界国家吸引的部队和资金活动的重复。致谢:本文由俄罗斯基础研究基金会资助,RFFR 18-07-00615 A“基于非数值依赖关系的矩阵表示的局部和系统搜索方法的开发和集成,以有效解决在形式化较差的主题领域满足限制的问题。”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信