文章基本信息

标题：Real time Photovoltaic Data Collection via IoTs and Analytics on Hadoop Cluster
本地全文：下载
作者：Zainal H. C. Soh ; Shafiq N. Kadir ; Syahrul A. C. Abdullah 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2017
卷号：9
期号：3
页码：175
出版社：International Center for Scientific Research and Studies
摘要：The project presents a prototype of real time sensor data collection and analytic of Photovoltaic (PV) solar panel via Internet of Things (IoTs) at IoTs Foundation on IBM Bluemix Cloud Platform. The data collection involves collecting and storing of the light sensor data and the photovoltaic voltage data of solar panel from Intel Galileo Sensor Node to IoTs gateway at IoTs Foundation using Message Queing Telemetry Transport (MQTT) protocol and stored on the HDFS on Hadoop Cluster. The Hadoop Cluster is leased from the IBM Bluemix Cloud Services. The stored sensor data are analysed to investigate the relationship between the photovoltaic voltage and the intensity of light during noon and dusk. The data collection rate of sensor data message is around 983 milliseconds from Intel Galileo Sensor Node to an IoTs gateway. The analysed results also show that the photovoltaic voltage is increase with higher intensity of sunlight. In conclusion, the PV data collection system proved the capability of the IoTs platform to collect the sensor data in real time environment.
关键词：Internet of Things (IoTs); Message Queing Telemetry Transport (MQTT); Hadoop Cluster; Photovoltaic Solar System.