摘要
随着智能门锁的普及,传统插卡取电的方式已不再适用,利用室内人体感应设备判断房间是否有人存在为市场所需,但目前已有的感应器在精确度、适应性等方面存在不足,尤其不能实现低成本判断静止人体。针对这一问题,采用热释电红外、ZigBee和NB-IoT三大技术设计被动室内人体感应系统,融合两种探测手段,设置三种通信模式,采用模式判别算法,有效实现了对室内静止人员(包括睡觉情况)和运动人员是否存在的准确侦测,降低了系统功耗。侦测数据由NB-IoT无缝接入云平台,实现数据共享。测试结果验证了设计的可行性。
With the popularity of intelligent door locks,the traditional interpolation card to admission electricty is no longer applicable.The use of indoor human sensor equipment to determine whether there is someone indoors is what the market needs.However,the existing sensors have shortcomings in accuracy,adaptability and other aspects,especially they cannot realize low-cost judgment of stationary human body.To solve this problem,the passive indoor human body induction system is designed by using three technologies,namely pyroelectric infrared,ZigBee and NB-IoT.The system integrates two detection methods,sets three communication modes,and adopts the mode discrimination algorithm to effectively realize the accurate detection of indoor static personnel (including sleeping situation) and moving personnel,thus reducing the system power consumption.Detection data is seamlessly connected to the cloud platform by NB-IoT to achieve data sharing.The test results verify the feasibility of the design.
作者
田沐鑫
何极
陈邦亮
赵萌
陈芬
Tian Muxin;He Ji;Chen Bangliang;Zhao Meng;Chen Fen(School of Information Science and Engineering,Ningbo University,Ningbo 315211,China)
出处
《信息技术与网络安全》
2019年第7期77-83,92,共8页
Information Technology and Network Security
关键词
ZigBee背景噪声
模式判别
人体感应
数据共享
低功耗
ZigBee background noise
mode discrimination
human body induction
data sharing
low power consumption
