主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

消防科学与技术 ›› 2023, Vol. 42 ›› Issue (3): 407-410.

• • 上一篇    下一篇

智慧城市背景下消防安全实时监测关键技术

钱 红   

  1. (苏州市消防救援支队,江苏 苏州 215000)
  • 出版日期:2023-03-15 发布日期:2023-03-15
  • 作者简介:钱 红(1979- ),女,江苏苏州人,苏州市消防救援支队吴中大队工程师,硕士,主要从事消防监督管理工作,江苏省苏州市吴中区龙翔路266号,215000。

Key technologies of real-time fire safety monitoring in the context of smart city

Qian Hong   

  1. (Suzhou Fire and Rescue Division,Jiangsu Suzhou 215000, China)
  • Online:2023-03-15 Published:2023-03-15

摘要: 以保障建筑消防安全为目的,研究智慧城市背景下消防安全实时监测关键技术。该技术以智慧城市建设的大数据分析技术、通信技术和云计算技术为基础,搭建消防安全实时监测关键技术框架,利用该框架内感知层内的普通光电感烟探测器和感温探测器,采集建筑内的烟雾数据和温度数据后,利用通信层将其传输到云计算层内;云计算层中的消防安全监测与预警模块使用大数据分析技术中的模糊贝叶斯网络,评估建筑火灾风险程度。依据评估结果实现消防安全实时监测并预警,再通过消防安全风险区域定位模块使用传感器质心算法,获取建筑消防安全风险区域位置,通过无线通信网络将消防安全实时监测、预警以及消防安全风险区域定位结果传输到展示层。结果表明:该技术可准确采集建筑内的温度数据,准确检测火灾位置,且可在火灾发生前发出告警。

关键词: 智慧城市, 消防安全, 实时监测技术, 贝叶斯网络, 定位方法

Abstract: Abstract: For the purpose of ensuring building fire safety, research the key technologies of real-time fire safety monitoring in the context of smart cities. Based on the big data analysis technology, communication technology and cloud computing technology of smart city construction, this technology builds a key technical framework for real-time fire safety monitoring. Using the photoelectric smoke detector and temperature sensor in the sensing layer of this framework, smoke data and temperature data in urban public buildings are collected, and then transmitted to the cloud computing layer using the communication layer; The fire safety monitoring and early warning module in the cloud computing layer uses the fuzzy Bayesian network in big data analysis technology to assess the current fire risk degree of urban public buildings, and realizes real-time fire safety monitoring and early warning based on the assessment results. Then, through the fire safety risk area positioning module, the sensor centroid algorithm is used to obtain the location of the building fire safety risk area, and the fire safety real-time monitoring, early warning and fire safety risk area positioning are transmitted to the exhibition floor for display. The experiment shows that this technology can accurately collect the temperature data in the building, accurately detect the fire location, and send a fire alarm before the fire occurs.

Key words: Key words: smart city, fire safety, real-time monitoring technology, bayesian network, positioning method