基于多路传感器采集的火灾监控及智能报警系统的研究  被引量:1

Research on fire monitoring and intelligent alarm system based on multi-channel sensor acquisition

在线阅读下载全文

作  者:杨骐榕 周亚 王子豪 石树正[3] YANG Qi-rong;ZHOU Ya;WANG Zi-hao;SHI Shu-zheng(Langfang fire rescue detachment,Langfang 0650002,Hebei;Beihua Institute of aerospace technology,Langfang 065000,Hebei;Hebei University of Architecturel,Zhangjiakou 075000,China)

机构地区:[1]廊坊市消防救援支队,河北廊坊065000 [2]北华航天工业学院,河北廊坊065000 [3]河北建筑工程学院,河北张家口075000

出  处:《河北建筑工程学院学报》2022年第1期160-165,共6页Journal of Hebei Institute of Architecture and Civil Engineering

基  金:北华航天工业学院预研重点项目(ZDYY202101)。

摘  要:火灾安全问题逐渐成为社会的热点,传统火灾监控系统已经不能满足当今社会科技发展的需求,因此研究一种基于多路传感器采集的火灾监控及智能报警系统具有广泛的应用前景。本文以STM32F103作为核心控制器,对温湿度传感器、烟雾浓度传感器和CO浓度传感器检测模块进行数据采集,利用ESP8266模块的STA+AP模式将传感器数据无线传输,当传感器信息数据超出阈值范围,经过融合计算判定为火灾发生后,通过SIM900A实现智能报警。同时,通过手机APP端可以实现各类传感器信息的数据与图形显示,方便用户实时的对数据信息进行监控和统计。The problem of fire safety has gradually become a key issue in the society.The traditional fire monitoring system cannot meet the needs of today's social science and technology development.Therefore,the research on a fire monitoring and intelligent alarm system based on"Internet of things+Intelligent fire"has a wide application prospect.In this paper,STM32F103 is used as the core controller to collect the data of temperature and humidity sensor,smoke concentration sensor and CO concentration sensor detection module.The sensor data is wirelessly transmitted by using STA+AP mode of ESP8266 module.When the sensor information data exceeds the threshold range and the fire is judged by fusion calculation,the intelligent alarm SIM900A will be given.Moreover,the data and graphics displays of all kinds of sensor information can be realized through the mobile app,which is convenient for users to monitor and count the data information in real time.

关 键 词:传感器 火灾监控 无线传输 智能报警 

分 类 号:TP39[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象