物联网中智能传感器融合方法研究
Research on Intelligent Sensor Fusion Methods in the Internet of Things
张永芳1
作者信息
- 1. 郑州工业应用技术学院,河南 郑州 451100
- 折叠
摘要
文章研究了物联网中的智能传感器融合方法,旨在提高物联网系统对环境信息的感知能力和数据处理效率.首先,分析基于智能传感器的物联网架构,建立包括云平台、终端设备、网关以及智能传感器等组件的系统框架.其次,针对传感器数据存在的异常情况,提出基于多传感器协同的异常检测方法.最后,结果表明该方法能够有效检测温度、湿度、光照等多种环境参数的异常情况.
Abstract
This paper studies the fusion method of intelligent sensors in the Internet of Things,aiming to improve the perception ability and data processing efficiency of the Internet of Things systems towards environmental information.Firstly,by analyzing the Internet of Things architecture based on intelligent sensors,a system framework was established that includes components such as cloud platforms,terminal devices,gateways,and intelligent sensors.Secondly,a multi-sensor collaborative anomaly detection method is proposed to address the anomalies in sensor data.Finally,the results indicate that this method can effectively detect anomalies in various environmental parameters such as temperature,humidity,and lighting.
关键词
物联网/智能传感器/数据融合/多传感器协同Key words
Internet of Things/intelligent sensors/data fusion/multi sensor collaboration引用本文复制引用
出版年
2024
NETL
NSTL
万方数据