用于智慧城市的物联网智能传感器节点：行人计数与环境监测

IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring.

作者信息

Akhter Fowzia, Khadivizand Sam, Siddiquei Hasin Reza, Alahi Md Eshrat E, Mukhopadhyay Subhas

机构信息

Department of Engineering, Macquarie University, Sydney, NSW 2109, Australia.

Department of Electrical and Electronic Engineering, Uttara University, Dhaka 1230, Bangladesh.

出版信息

Sensors (Basel). 2019 Aug 1;19(15):3374. doi: 10.3390/s19153374.

DOI:10.3390/s19153374

PMID:31374837

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6696396/

Abstract

An Internet of Things (IoT) enabled intelligent sensor node has been designed and developed for smart city applications. The fabricated sensor nodes count the number of pedestrians, their direction of travel along with some ambient parameters. The Field of View (FoV) of Fresnel lens of commercially available passive infrared (PIR) sensors has been specially tuned to monitor the movements of only humans and no other domestic animals such as dogs, cats etc. The ambient parameters include temperature, humidity, pressure, Carbon di Oxide (CO) and total volatile organic component (TVOC). The monitored data are uploaded to the Internet server through the Long Range Wide Area Network (LoRaWAN) communication system. An intelligent algorithm has been developed to achieve an accuracy of 95% for the pedestrian count. There are a total of 74 sensor nodes that have been installed around Macquarie University and continued working for the last six months.

摘要

为智慧城市应用设计并开发了一种支持物联网（IoT）的智能传感器节点。制造的传感器节点可统计行人数量、他们的行进方向以及一些环境参数。市售被动红外（PIR）传感器的菲涅尔透镜的视场（FoV）经过特殊调整，仅用于监测人类的活动，而不监测其他家畜，如狗、猫等。环境参数包括温度、湿度、压力、二氧化碳（CO）和总挥发性有机成分（TVOC）。监测数据通过长距离广域网（LoRaWAN）通信系统上传到互联网服务器。已开发出一种智能算法，使行人计数的准确率达到95%。麦考瑞大学周围共安装了74个传感器节点，并且在过去六个月里一直在持续工作。