929 resultados para Internet Things openHAB Smart Home Automation
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La nascita della Internet of Things, come conseguenza dell'aumento della capacità di calcolo e adozione di connettività in nuovi dispositivi, ha permesso l'apporto di nuove tecnologie negli oggetti di uso quotidiano e ha cambiano il modo in cui le persone utilizzano e interagiscono con questi oggetti. La Home Automation, da sempre orientata al controllo locale e remoto di apparecchiature domestiche, non ha mai raggiunto una grande diffusione per colpa del costo elevato, una controproducente chiusura rispetto ad altri sistemi e una certa difficoltà nella sua programmazione da parte dei possibili utenti. Le possibilità offerte dalla IoT e i limiti della Home Automation hanno suggerito lo sviluppo di un sistema in grado si superare queste limitazioni sfruttando le tecnologie più adatte a integrare Smart Object e sistemi, gli uni con gli altri, in maniera semplice e rapida. Il progetto e lo sviluppo di una soluzione reale di Home Automation basata su un impianto domotico commerciale ha permesso di dimostrare come strumenti opensource e tecnologie orientate alla IoT consentano, se opportunamente integrate, di migliorare sia la fruibilità dei sistemi domotici, attraverso la maggiore apertura verso altri sistemi, sia l'interazione con l'utente che sarà in grado di creare in modo semplice e diretto scenari di utilizzo sempre nuovi.
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The new digital technologies have led to widespread use of cloud computing, recognition of the potential of big data analytics, and significant progress in aspects of the Internet of Things, such as home automation, smart cities and grids and digital manufacturing. In addition to closing gaps in respect of the basic necessities of access and usage, now the conditions must be established for using the new platforms and finding ways to participate actively in the creation of content and even new applications and platforms. This message runs through the three chapters of this book. Chapter I presents the main features of the digital revolution, emphasizing that today’s world economy is a digital economy. Chapter II examines the region’s strengths and weaknesses with respect to digital access and consumption. Chapter III reviews the main policy debates and urges countries to take a more proactive approach towards, for example, regulation, network neutrality and combating cybercrime. The conclusion highlights two crucial elements: first, the need to take steps towards a single regional digital market that can compete in a world of global platforms by tapping the benefits of economies of scale and developing network economies; and second, the significance of the next stage of the digital agenda for Latin America and the Caribbean (eLAC2018), which will embody the latest updates to a cooperation strategy that has been in place for over a decade.
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Progettazione di un framework per ottimizzare l'efficienza energetica di una Smart home. Gestione e supervisione tramite smartphone Android
DESIGN AND IMPLEMENT DYNAMIC PROGRAMMING BASED DISCRETE POWER LEVEL SMART HOME SCHEDULING USING FPGA
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With the development and capabilities of the Smart Home system, people today are entering an era in which household appliances are no longer just controlled by people, but also operated by a Smart System. This results in a more efficient, convenient, comfortable, and environmentally friendly living environment. A critical part of the Smart Home system is Home Automation, which means that there is a Micro-Controller Unit (MCU) to control all the household appliances and schedule their operating times. This reduces electricity bills by shifting amounts of power consumption from the on-peak hour consumption to the off-peak hour consumption, in terms of different “hour price”. In this paper, we propose an algorithm for scheduling multi-user power consumption and implement it on an FPGA board, using it as the MCU. This algorithm for discrete power level tasks scheduling is based on dynamic programming, which could find a scheduling solution close to the optimal one. We chose FPGA as our system’s controller because FPGA has low complexity, parallel processing capability, a large amount of I/O interface for further development and is programmable on both software and hardware. In conclusion, it costs little time running on FPGA board and the solution obtained is good enough for the consumers.
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Facing the EU energy efficiency and legal scenarios related to buildings (2010/31 EU directive), new sustainable advanced concepts for envelopes are required. These innovative designs must be able to offer an elevated level of energy efficiency based on a high performance architecture. According to this, smart glazings, and particularly active water-flow glazings, represent a promising alternative to other solar control glazings, since they can reduce the building energy demand avoiding well known drawbacks as high cost, glare problems and high response time that affect to other smart glazings. This kind of glazing, as any other active one, needs to be operated by a control system. In order to operate a water-flow based window, a new controller based on an inexpensive microcontroller board has been developed
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Home Automation (HA) has emerged as a prominent ¯eld for researchers and in- vestors confronting the challenge of penetrating the average home user market with products and services emerging from technology based vision. In spite of many technology contri- butions, there is a latent demand for a®ordable and pragmatic assistive technologies for pro-active handling of complex lifestyle related problems faced by home users. This study has pioneered to develop an Initial Technology Roadmap for HA (ITRHA) that formulates a need based vision of 10-15 years, identifying market, product and technology investment opportunities, focusing on those aspects of HA contributing to e±cient management of home and personal life. The concept of Family Life Cycle is developed to understand the temporal needs of family. In order to formally describe a coherent set of family processes, their relationships, and interaction with external elements, a reference model named Fam- ily System is established that identi¯es External Entities, 7 major Family Processes, and 7 subsystems-Finance, Meals, Health, Education, Career, Housing, and Socialisation. Anal- ysis of these subsystems reveals Soft, Hard and Hybrid processes. Rectifying the lack of formal methods for eliciting future user requirements and reassessing evolving market needs, this study has developed a novel method called Requirement Elicitation of Future Users by Systems Scenario (REFUSS), integrating process modelling, and scenario technique within the framework of roadmapping. The REFUSS is used to systematically derive process au- tomation needs relating the process knowledge to future user characteristics identi¯ed from scenarios created to visualise di®erent futures with richly detailed information on lifestyle trends thus enabling learning about the future requirements. Revealing an addressable market size estimate of billions of dollars per annum this research has developed innovative ideas on software based products including Document Management Systems facilitating automated collection, easy retrieval of all documents, In- formation Management System automating information services and Ubiquitous Intelligent System empowering the highly mobile home users with ambient intelligence. Other product ideas include robotic devices of versatile Kitchen Hand and Cleaner Arm that can be time saving. Materialisation of these products require technology investment initiating further research in areas of data extraction, and information integration as well as manipulation and perception, sensor actuator system, tactile sensing, odour detection, and robotic controller. This study recommends new policies on electronic data delivery from service providers as well as new standards on XML based document structure and format.
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Nuestro proyecto trata de obtener un sistema centralizado para el manejo y monitorización de un conjunto de aparatos eléctricos del hogar, tales como luces, cámaras, sensores, y otros aparatos mediante una aplicación para dispositivos móviles Android. También se facilita una herramienta web para administrar dichos aparatos. Nuestro sistema da soporte al manejo individual y manual de estos aparatos, por ejemplo encender una lámpara, así como la posibilidad de incluir programas que se ejecuten a una determinada hora, y con una determinada recurrencia. Por ejemplo, se puede programar el encendido de una luz todos los días a las 20:00. Además, también se pueden crear reglas que, dado una determinada situación, realicen una serie de acciones. Por ejemplo, si se detecta que la luminosidad baja de cierto valor (detectado mediante un sensor de luz), se encienda una lámpara. Para conseguir esto se ha realizado una aplicación centralizada, a modo de servidor, que se comunica con los aparatos eléctricos mediante diferentes protocolos de comunicación, así como con el dispositivo móvil Android, y una aplicación web administrativa, a través de un portal de servicios web.
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In this abstract is presented an energy management system included in a SCADA system existent in a intelligent home. The system control the home energy resources according to the players definitions (electricity consumption and comfort levels), the electricity prices variation in real time mode and the DR events proposed by the aggregators.
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In future power systems, in the smart grid and microgrids operation paradigms, consumers can be seen as an energy resource with decentralized and autonomous decisions in the energy management. It is expected that each consumer will manage not only the loads, but also small generation units, heating systems, storage systems, and electric vehicles. Each consumer can participate in different demand response events promoted by system operators or aggregation entities. This paper proposes an innovative method to manage the appliances on a house during a demand response event. The main contribution of this work is to include time constraints in resources management, and the context evaluation in order to ensure the required comfort levels. The dynamic resources management methodology allows a better resources’ management in a demand response event, mainly the ones of long duration, by changing the priorities of loads during the event. A case study with two scenarios is presented considering a demand response with 30 min duration, and another with 240 min (4 h). In both simulations, the demand response event proposes the power consumption reduction during the event. A total of 18 loads are used, including real and virtual ones, controlled by the presented house management system.
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With the fast development of wireless communications, ZigBee and semiconductor devices, home automation networks have recently become very popular. Since typical consumer products deployed in home automation networks are often powered by tiny and limited batteries, one of the most challenging research issues is concerning energy reduction and the balancing of energy consumption across the network in order to prolong the home network lifetime for consumer devices. The introduction of clustering and sink mobility techniques into home automation networks have been shown to be an efficient way to improve the network performance and have received significant research attention. Taking inspiration from nature, this paper proposes an Ant Colony Optimization (ACO) based clustering algorithm specifically with mobile sink support for home automation networks. In this work, the network is divided into several clusters and cluster heads are selected within each cluster. Then, a mobile sink communicates with each cluster head to collect data directly through short range communications. The ACO algorithm has been utilized in this work in order to find the optimal mobility trajectory for the mobile sink. Extensive simulation results from this research show that the proposed algorithm significantly improves home network performance when using mobile sinks in terms of energy consumption and network lifetime as compared to other routing algorithms currently deployed for home automation networks.