Energy efficient IoT framework for Smart Buildings

被引:0
|
作者
Dharur, Sameer [1 ]
Hota, Chittaranjan [1 ]
Swaminathan, K. [2 ]
机构
[1] BITS Pilani, Dept Comp Sci, Hyderabad Campus, Hyderabad, Andhra Pradesh, India
[2] BITS Pilani, Dept Elect & Elect Engn, Hyderabad Campus, Hyderabad, Andhra Pradesh, India
关键词
Internet of Things; Analytics; RStudio; Machine Learning; Intel Galileo; Smart Building;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The Internet of Things is a truly state-of-the-art field that has the potential to significantly improve essential services like power saving [8], security, maintenance and monitoring. The implementation of analytics and corrective feedback processes in the event of anomalous data that needs addressing-such as a sharp temperature increase detected by the sensor in a room that is typically maintained at a low temperature, the air-conditioning running for a long time in a room that has no occupant detected, excessive noise detected by a sound sensor-among other things, are some of several ways in which the Internet of Things can be leveraged to help solve fundamental problems in various walks of life. We provide information on setting up and operating a comprehensive apparatus to accomplish these objectives starting with setting up the desired test bed that has a resilient Data-Flow Path, retrieving the requisite values through the sensors[9], performing analytics on the data using RStudio to gain further insights on the relationship between the various parameters being measured and help set up a predictive model that could draw a contrast between the expected and actual values, thereby suggesting the extent of wastage of resources. Additionally, the GSM module of the Intel Galileo board is also usefully deployed to send out emergency alerts.
引用
收藏
页码:793 / 800
页数:8
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