摘要
[目的/意义]构建“互联网+应急环境”的室内火灾应急响应模式,提高室内火灾应急响应效率。[方法/过程]从技术角度对“互联网+”的理念进行了深度剖析,创建了“互联网+”跨界融合技术实现框架。应用该框架,从应急环境与应急部门的联动机制、突发室内火灾事件的大数据集成、基于改进Zukoski室内火灾预警模型构建、基于知识推理的火灾应急响应方法等方面,构建了“互联网+应急环境”的室内火灾应急响应模式。应用该模式,使用CC2530物联网开发套件、Neo4j知识图谱工具以及Java EE技术,开发了基于多传感器的突发火灾预警仿真系统,并通过在室内环境燃烧纸条模拟火灾的方式进行了实验。[局限]实验仅在模拟环境下进行,在进入实际应用前,还需要进行大量的、更为真实的实验。[结果/结论]实验结果表明,本文构建的室内火灾应急响应模式行之有效。
[Objective/Significance]Construct an emergency response mode for the indoor fire based on the“Internet Plus Emergency Environment”to improve the efficiency of emergency response for the indoor fire disaster.[Methods/Processes]This paper unravels the“Internet Plus”idea technically,creates the technology implementation architecture of“Internet Plus”cross-border integration.By applying the architecture,the fundamental mechanism of the emergency decision mode for indoor fire disaster based on the“Internet Plus Emergency Environment”is investigated from four aspects which respectively are the linkage mechanism between emergency environment and department,the big data integration for the sudden indoor fire disaster,the improved Zukoski-based indoor fire detection model,the fire emergency response method based on the knowledge reasoning and so on.Based on the mode,a fire warning emulated system based on the multiple sensors for the emergency fire was developed by using the CC2530 development toolkits of Internet of Things,Neo4j knowledge graph tool and Java EE technologies.And a fire emulation experiment was conducted by burning pieces of paper indoor.[Limitations]The experiment was conducted in a simulated environment.Before practical application,abundant and more real experiments are needed.[Results/Conclusions]The experiment result shows the constructed emergency decision mode is effective.
作者
唐明伟
张渭
秦宇豪
余定方
张东
TANG Mingwei;ZHANG Wei;QIN Yuhao;YU Dingfang;ZHANG Dong(School of Computer Science,Nanjing Audit University,Nanjing 211815,China;Jiangsu Key Laboratory of Data Engineering and Knowledge Service,Nanjing 210023,China;Nanjing Guorui Xinwei Software Co.,LTD.,Nanjing 210012,China)
出处
《情报工程》
2024年第2期38-51,共14页
Technology Intelligence Engineering
基金
教育部人文社会科学研究规划基金项目“面向情景推演的突发事件应急预案知识组织研究”(23YJA870009)
江苏高校哲学社会科学研究重大项目“面向应急决策的突发事件应急预案知识推理研究”(2021SJZDA153)
江苏高校“青蓝工程”。
