文章基本信息

标题：A Comparative Study of Algorithms for Measuring HVAC in IoT
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作者：Prabhu K ; Dhineshkumar P ; Gobisankar S 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：2
页码：1215
DOI：10.15680/IJIRSET.2018.0702023
出版社：S&S Publications
摘要：Industrial Internet is the new buzz in the industrial sector, also termed as Industrial Internet of Things(IIoT). It is empowering industrial engineering with sensors, software and big data analytics to create brilliantmachines. With the advent of Internet of Things technologies and smart buildings, the need for building automationsystems that automatically performs computations without the intervention of humans have also increased. It deals withdetection of occupancy in a room from various ambient sources like temperature, humidity MO2, and CO2. With thehelp of this system, remote monitoring of the building as well as leveraging control on the indoor parameters throughHVAC control systems is possible at real-time. It adopts Dempster-Shafer evidence theory for fusing sensoryinformation collected from heterogeneous sensors, assigns probability mass assignments (PMAs) to the raw sensorreadings, and finally performs mass combination to derive a conclusion about the occupancy status in a room. In thispaper we have compared the different algorithms in IoT.
关键词：Internet of Things; Sensors; Smart Buildings; Monitoring; Predictive Models; Data Integration.