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作 者:赵月爱[1] 郭兴原 吴星辉 ZHAO Yueai;GUO Xingyuan;WU Xinghui(Taiyuan Normal University,Department of Computer Science,Jinzhong 030619,China;Taiyuan Normal University,Department of Mathematics Science,Jinzhong 030619,China)
机构地区:[1]太原师范学院计算机系,山西晋中030619 [2]太原师范学院数学系,山西晋中030619
出 处:《太原师范学院学报(自然科学版)》2021年第2期73-78,共6页Journal of Taiyuan Normal University:Natural Science Edition
基 金:国家自然基金项目(61273294);国家社科基金项目(20BJL080);山西省重点研发计划项目(201803D121088).
摘 要:传统的火灾自动报警系统局限性大,很难起到实时消防预警作用.如何变被动为主动,对各类火灾隐患"早发现、早消除、早处置"成为当前急需解决的一大难题.平台基于物联网和大数据技术,首先在需要监测的楼宇配电箱中部署由主控制器、温度传感器、剩余电流互感器、电流传感器等组成的采集设备;然后利用GPRS技术实时将采集的电流、温度、电压、剩余电流等参数发送到云平台,结合心跳监测技术和Socket技术完成数据的接收及保存;最后通过大数据分析平台对消防数据进行预处理和异常分析,实现实时预警,平台还提供数据可视化、存储和查询等操作,为消防预警工作提供决策依据.The traditional automatic fire alarm system has great limitations,so it is difficult to play a role of real-time fire alarm.How to change passive into active,and how to find,eliminate and deal with all kinds of fire hazards early has become a big problem that needs to be solved urgently.The platform is based on the Internet of things and big data technology.Firstly,the acquisition equipment consisting of the main controller,temperature sensor,residual current transformer,current sensor,etc.is deployed in the building distribution box to be monitored.Then,GPRS technology is used to send the collected current,temperature,voltage,residual current and other parameters to the cloud platform in real time,and the number is completed by combining heartbeat monitoring technology and socket technology Finally,through the big data analysis platform for fire datapreprocessing and exception analysis,to achieve real-time early warning,the platform also provides data visualization,storage and query operations,to provide decision-making basis for fire early warning work.
关 键 词:电气火灾 消防预警 传感器 GPRS 心跳监测 SOCKET 大数据分析
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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