|本期目录/Table of Contents|

[1]彭阳,余芳强,杨祺,等.医院智能应急疏散导航方法与物联网应用研究*[J].中国安全生产科学技术,2022,18(7):213-218.[doi:10.11731/j.issn.1673-193x.2022.07.031]
　PENG Yang,YU Fangqiang,YANG Qi,et al.Research on intelligent emergency evacuation navigation method and IoT application for hospitals[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(7):213-218.[doi:10.11731/j.issn.1673-193x.2022.07.031]
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医院智能应急疏散导航方法与物联网应用研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年7期
页码:
213-218
栏目:
职业安全卫生管理与技术
出版日期:
2022-07-31

文章信息/Info

Title:
Research on intelligent emergency evacuation navigation method and IoT application for hospitals
文章编号:
1673-193X(2022)-07-0213-06
作者:
彭阳; 余芳强; 杨祺; 许璟琳
(上海建工四建集团有限公司，上海 201103)
Author(s):
PENG Yang;  YU Fangqiang;  YANG Qi;  XU Jinglin
(Shanghai Construction No.4(Group) Co.,Ltd.,Shanghai 201103,China)
关键词:
疏散指引; 医院建筑; 深度神经网络; 物联网
Keywords:
evacuation guidance;  hospital buildings;  deep neural network;  Internet of Things (IoT)
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2022.07.031
文献标志码:
A
摘要:
为解决大型复杂医院建筑紧急疏散下的路线指引问题，提出适合复杂空间结构的疏散拓扑地图自动生成方法，同时提出基于组合神经网络的疏散决策模型，以应对医院建筑中各种静态动态的危险源，基于该疏散指引方法，研发智能疏散导航物联网装置Nav-IoT。研究结果表明：该方法可实时采集医院多种危险情况，通过决策网络和多种物联网智能设备进行动态决策，并发出明确移动指引信号，能够有效提升疏散过程的安全度和效率，满足大型复杂医院建筑内的智能化、动态化的人员应急疏散需求。
Abstract:
In order to solve the problem of route guidance in the emergency evacuation of large and complex hospital buildings,an automatic generation method of evacuation topology map being suitable for complex spatial structure was proposed.Then,an evacuation decision-making model based on the combined neural network was put forward to deal with various static and dynamic hazard sources in hospital buildings.According to the evacuation guidance method,an intelligent evacuation navigation Internet of Things (IoT) device Nav-IoT was developed.The results showed that this method could collect various dangerous situations in the hospital in real time,make dynamic decisions through the decision-making network and various IoT intelligent devices,and issue the clear movement guidance signals.It can improve the safety and efficiency of evacuation process,and meet the requirements of intelligent and dynamic personnel emergency evacuation in large and complex hospital buildings.

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备注/Memo

备注/Memo:
收稿日期： 2021-10-19
*基金项目： 上海市扬帆计划项目（19YF1421100）；国家重点研发计划项目（2020YFD1100604）；上海市科技计划项目（20dz1202005）
作者简介： 彭阳，硕士，工程师，主要研究方向为BIM、大数据、智慧建筑。
通信作者： 余芳强，博士，高级工程师，主要研究方向为智慧建筑、施工与运维。
更新日期/Last Update: 2022-08-10