摘要
危化品储罐火灾扑救时消防力量、消防资源需求的科学预测是准确把握灭火时机、合理制定火灾扑救方案及总攻时间的基础。建立危化品储罐火灾扑救泡沫需求评价二级指标体系,采用模糊层次分析法建立了泡沫灭火剂用量评价数学模型,并根据事故类型、救援力量类别需求、各种应急救援装备与作战人员需求建立危化品储罐火灾消防力量需求预测模型。利用事故后果预测模型、消防力量需求预测模型,结合软件技术、物联网技术和地理信息技术(GIS),采用B/S架构开发基于GIS的大型石油化工储罐火灾扑救辅助决策系统,可进行事故后果预测与事故扑救消防资源需求预测,实现事故应急辅助决策方案自动生成与推送,有效提高了危化品储罐火灾扑救的科学性和效率。
For dangerous chemical storage tank fire,seizing the fire-fighting moment,making reasonable fire-fighting plan and general attack time are based on scientific prediction of fire power and rescue resource need.The second level index system of foam needs for dangerous chemical storage tank fire-fighting is set.And the foam extinguishing agent dosage evaluation mathematical model is established by using fuzzy analytic hierarchy process(FAHP).The fire-fighting power demand forecasting model for dangerous chemical storage tank fire is set according to the type of accidents,needs of rescue force types,various emergency rescue equipment and personnel needs.Using accident consequence forecasting model and fire-fighting power need forecasting model,combined with software technology,Internet of things technology and geographic information technology,the B/S structure is used to develop large-scale petrochemical storage tank fire-fighting aid decision-making system based on GIS.The system can predict the accident consequence and forecast the fire-fighting resources demand,automatically generate and push the accident emergency aid decision-making scheme,thus improving the scientificity and efficiency of dangerous chemical storage tank fire-fighting effectively.
作者
周宁
印峥
崔汝卿
刘晅亚
黄维秋
毕海普
ZHOU Ning;YIN Zheng;CUI Ruqing;LIU Xuanya;HUANG Weiqiu;BI Haipu
出处
《油气田地面工程》
2018年第8期58-62,共5页
Oil-Gas Field Surface Engineering
基金
国家重点研发计划重点专项(2017YFC0806600)
国家青年自然科学基金项目(51204026)
建筑消防工程技术公安部重点实验室开放课题(KFKT2014MS02)
天津市科技计划项目(16ZXCXSF00080)
公安部科技项目(2016JSYJD04)
江苏省高等学校自然科学研究项目(16KJB620001
16KJA170004
17KJA440001)
公安部竞争技术研究计划项目"危险化学品灾害事故应急处置辅助决策系统研发"(2016JSYJD04-02A)
关键词
储罐火灾
危化品
层次分析法
灭火剂需求模型
辅助决策系统
storage tank fire
dangerous chemical
AHP
fire-fighting agent demand model
aid decision-making system
