摘要
现行安全全天候监测技术在智慧校园中的应用效果不佳,监测误差较大且误警率较高,无法达到预期效果。对此,文章采用物联网传感技术实现对校园环境数据的全天候感知。通过在校园环境内布设无线传感器,实时采集各项环境数据信息;在LabVIEW环境中对数据进行分割处理和零漂校正;采用多源数据融合算法对全天候感知的校园环境数据进行深度融合处理,以此评价校园安全并响应风险预警。实验结果证明,该方法的技术监测误差为0.01%,误警率不超过1%,实现了高校智慧校园安全全天候精准监测。
The current all-weather monitoring technology has poor application effects in smart campuses,with large monitoring errors and high false alarm rates,which cannot achieve the expected results.In this regard,the article adopts IoT sensing technology to achieve all-weather perception of campus environmental data.By deploying wireless sensors in the campus environment,real-time collection of various environmental data information can be achieved.Segmenting and zero drift correction of data in LabVIEW environment.Using multi-source data fusion algorithm to deeply fuse the campus environment data perceived 24/7,evaluate campus safety and respond to risk warnings.Experimental results have shown that the technical monitoring error of this method is 0.01%,and the false alarm rate does not exceed 1%,achieving accurate monitoring of the security of smart campuses in universities around the clock.
作者
姚文静
YAO Wenjing(Sias University,Zhengzhou 451100,China)
基金
郑州西亚斯学院2024年度校级科研项目:数字化转型下高校智慧校园建设研究(2024XKD045)+电子商务。
关键词
物联网传感技术
智慧校园
监测
零漂校正
LabVIEW
多源数据融合算法
Internet of Things sensing technology
smart campus
monitoring
zero drift correction
LabVIEW
multi-source data fusion algorithm
