Integrated Management of Energy, Wellbeing and Health in the Next Generation of Smart Homes

Abstract

This contribution proposes an implementation for next generation smart homes, where heterogeneous data, coming from multiple sensors (medical, wellbeing, energy, contextual, etc.) and house equipment (smart fridge, smart TV, etc.), need to be managed, secured and visualized. As a first step, it focuses only on energy and health data. However, it aims to lay the foundations to manage any type of information towards the development of smart interactions with the house, which might include artificial intelligence and machine learning. These data are securely collected using a central Web of Things gateway, located inside the smart home. For the e-health part, a set of possible use-cases is provided, along with the current progress of the implantation. In this regard, the main idea is to link the next generation smart homes with external medical entities in order to provide, first, quick intervention in the event of an abnormality being detected, and to be able to provide basic medical services such as remote consultations with a doctor for a particular health issue. This vision can be very promising, particularly in rural areas, where access to medical services is difficult. As for the energy part, the aim is to collect users’ energy consumption inside the smart home, which can be supplied from different sources (heat, water, gas, or electricity), and to enable the use of advanced algorithms to predict and manage local energy consumption and production (if any). This approach combines data collected from smart meters, operational information of the smart energy devices (the status of smart plugs), user’s requests and external network signals such as energy prices. By using a home energy management system that accepts such input parameters, the operation of in-home devices and appliances can be optimally controlled according to different objectives (e.g., minimizing energy costs and maximizing user’s comfort level).

Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes

“…An EMC installed also serves as an in-home display, to realize data visualization and remote load control in a home environment. Typically, an EMC is configured with heterogeneous communication protocols [11,30,31,32] in an HAN, and it is based on an ARM ® (Advanced (Reduced Instruction Set Computing) RISC Machine) processor-based embedded system [1,3,4,7,8].…”

A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

“…Jaouhari, Palacios-Garcia, Anvari-Moghaddam and Bouabdallah [57] implemented smart home for the next generation by using diverse data, such as security, healthcare, and energy consumption, collected from different sensors and house appliances for management, security, and visualization purposes. The proposed system takes advantage of the following components: home area network (HAN); a user interface to show the trading data with secure access to the different services; a notification system to inform people, along with an android application to communicate via Bluetooth low energy (BLE); ZigBee protocol; smart meters.…”

IMPEC: An Integrated System for Monitoring and Processing Electricity Consumption in Buildings

“…In fact, data acquisition is widely applied to collect data describing phenomena in various fields from healthcare and wellbeing [4] to solar energy [5]. Additionally, data monitoring is becoming more and more essential in order to make and provide data-driven decisions and services in ever-growing fields such as smart buildings [6].…”

“…Several other features were added to the proposed architecture handling security (i.e., regulations of user access and data exchange processes) and IoT device interoperability (i.e., a common standard for data format and exchange). Similarly, the authors of Reference [6] have proposed and implemented another layered architecture for smart homes, but incorporating practical healthcare and wellbeing services (i.e., monitor occupants vital signs, remote consultation with a physician), energy management services (e.g., hybrid AC/DC platform for sustainable energy generation, controllable IoT devices), in addition to security services (e.g., user authentication)…”