Design and Realization of Intelligent Home System ON NB-IoT

Author(s):  
Zifeng Yuan ◽  
Bin He
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2398
Author(s):  
Asterios Leonidis ◽  
Maria Korozi ◽  
Eirini Sykianaki ◽  
Eleni Tsolakou ◽  
Vasilios Kouroumalis ◽  
...  

High stress levels and sleep deprivation may cause several mental or physical health issues, such as depression, impaired memory, decreased motivation, obesity, etc. The COVID-19 pandemic has produced unprecedented changes in our lives, generating significant stress, and worries about health, social isolation, employment, and finances. To this end, nowadays more than ever, it is crucial to deliver solutions that can help people to manage and control their stress, as well as to reduce sleep disturbances, so as to improve their health and overall quality of life. Technology, and in particular Ambient Intelligence Environments, can help towards that direction, when considering that they are able to understand the needs of their users, identify their behavior, learn their preferences, and act and react in their interest. This work presents two systems that have been designed and developed in the context of an Intelligent Home, namely CaLmi and HypnOS, which aim to assist users that struggle with stress and poor sleep quality, respectively. Both of the systems rely on real-time data collected by wearable devices, as well as contextual information retrieved from the ambient facilities of the Intelligent Home, so as to offer appropriate pervasive relaxation programs (CaLmi) or provide personalized insights regarding sleep hygiene (HypnOS) to the residents. This article will describe the design process that was followed, the functionality of both systems, the results of the user studies that were conducted for the evaluation of their end-user applications, and a discussion about future plans.


2015 ◽  
Vol 719-720 ◽  
pp. 561-566
Author(s):  
Yong Qing Gao ◽  
Dan Shanng

Firstly, this paper analyzes the significance and demand of intelligent power. Then a solution of home intelligent power system based on ZigBee is proposed. Hardware components of the solution proposed in this work mainly consists of AT91SAM9G20 as the core of the home gateway controller, CC430F6137 as the core of the network node of intelligent power and construction of intelligent home network system. This paper mainly introduces a new type of home intelligent power consumption network node, which realizes the measurement of electric power parameter, monitoring, overload protection and timing control, the communication between home gateway and network node through ZigBee protocol, the intelligent household electricity. By testing and using, it can meet the aspects of everyday life needs of user in convenient life, intelligent life and energy-saving, etc. It brings great commercial return and technical value to the development and application of intelligent home in future, as well as far-reaching impact to improving the quality of intelligent home services.


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