摘要
为提升粮库火灾的现代化管理水平,确保粮食生产和存储安全,结合新型物联网技术,设计了粮库火灾预警系统。为此,结合ZigBee、GPRS与无线传感技术等,基于最小二乘法(OLS)对各节点传感器动态采集的离散数据进行分析处理,建立了温湿度等参量随时间的变化曲线,由此判断未来一段时间内粮仓内温湿度等参量随时间的变化趋势,评估火灾发生的风险,达到全天候预警、节约人力、财力支出的目的。通过模拟试验验证,该预警系统运行稳定。
In order to promote the modernization of grain depot fire management level,ensure the safety of food production and storage purposes,combined with the new Internet technology,promoting the modernization of grain depot fire warning system. Is put forward in this paper by using ZigBee and GPRS combined with wireless sensor technology,based on the least squares(OLS) for each sensor node acquisition of discrete data analysis process,establish a formula with reaction time,temperature and humidity and other parameters to judge the granary temperature and humidity within a period of time parameter changes with time,the assessment of fire risk,achieve all-weather warning,save manpower,the purpose of financial expenditure.
作者
赵立军
闫德峰
张丰烁
王宇杰
颜珊珊
张玉鑫
刘传宝
许春林
Zhao Lijun;Yan Defeng;Zhang Fengshou;Wang Yujie;Yan Shanshan;Zhang Yuxin;Liu Chuanbao;Xu Chunlin(College of Eletromechanical Engineering,Chongqing University of Arts and Science,Chongqing 402160,China;College of Engineering,Northeast Agricultural University,Harbin 150030,China)
出处
《农机化研究》
北大核心
2019年第11期155-158,164,共5页
Journal of Agricultural Mechanization Research
基金
黑龙江省博士后基金项目(LBH-Z17917)
黑龙江省省级基本科研资助课题(2017-71)
东北农业大学SIPT项目(201710224092)
关键词
粮仓
火灾预警
无线传感器网络
最小二乘法
数学建模
物联网
grain depot
fire warning
wireless sensor
the least square method
mathematical modeling
internet of things