Pulseira inteligente para aplicações industriais e de lazer

Nos últimos anos, o avanço da tecnologia e a miniaturização de diversos componentes têm permitido o aparecimento de novos conceitos, ideias e projetos, que até aqui não passariam de filmes de ficção científica. Com a tecnologia atual, podem ser desenvolvidos pequenos dispositivos wearable com diversas interfaces, múltiplas conectividades, poder de processamento e autonomia. Permitindo desta forma, dar resposta à crescente necessidade de interação com os mais diversos equipamentos eletrónicos do dia-a-dia, melhorando o acesso e o fornecimento de informação. O principal objetivo deste trabalho passa assim por demonstrar e implementar um conceito que permita estreitar e facilitar a interação entre o utilizador e o mundo que o rodeia, quer em ambientes domésticos quer industriais. Para isso foi projetado e implementado um dispositivo wearable (para utilização no pulso) baseado numa arquitetura de hardware e software capaz de correr diferentes aplicações, tais como extensão de alertas de um smartphone, crowdsourcing de informações meteorológicas, manutenção e inspeção industrial e monitorização remota de forças de segurança. Os resultados obtidos demonstram que este conceito é viável tanto do ponto de vista técnico como funcional, evidenciando boas hipóteses para que estes conceitos, métodos e tecnologias possam ser integradas em plataformas robóticas desenvolvidas no âmbito de projetos do Laboratório de Sistemas Autónomos (LSA) bem como nos contextos industrial e de lazer.

SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers

The implementation of smart homes allows the domestic consumer to be an active player in the context of the Smart Grid (SG). This paper presents an intelligent house management system that is being developed by the authors to manage, in real time, the power consumption, the micro generation system, the charge and discharge of the electric or plug-in hybrid vehicles, and the participation in Demand Response (DR) programs. The paper proposes a method for the energy efficiency analysis of a domestic consumer using the SCADA House Intelligent Management (SHIM) system. The main goal of the present paper is to demonstrate the economic benefits of the implemented method. The case study considers the consumption data of some real cases of Portuguese house consumption over 30 days of June of 2012, the Portuguese real energy price, the implementation of the power limits at different times of the day and the economic benefits analysis.

Real-Time Simulation of energy Management in a Domestic Consumer

Recent and future changes in power systems, mainly in the smart grid operation context, are related to a high complexity of power networks operation. This leads to more complex communications and to higher network elements monitoring and control levels, both from network’s and consumers’ standpoint. The present work focuses on a real scenario of the LASIE laboratory, located at the Polytechnic of Porto. Laboratory systems are managed by the SCADA House Intelligent Management (SHIM), already developed by the authors based on a SCADA system. The SHIM capacities have been recently improved by including real-time simulation from Opal RT. This makes possible the integration of Matlab®/Simulink® real-time simulation models. The main goal of the present paper is to compare the advantages of the resulting improved system, while managing the energy consumption of a domestic consumer.

Domestic Consumption Simulation and Management Using a Continuous Consumption Management and Optimization Algorithm

The recent changes concerning the consumers’ active participation in the efficient management of load devices for one’s own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.

Multiagent System Architecture for Short-term Operation of Integrated Microgrids

The forthcoming smart grids are comprised of integrated microgrids operating in grid-connected and isolated mode with local generation, storage and demand response (DR) programs. The proposed model is based on three successive complementary steps for power transaction in the market environment. The first step is characterized as a microgrid’s internal market; the second concerns negotiations between distinct interconnected microgrids; and finally, the third refers to the actual electricity market. The proposed approach is modeled and tested using a MAS framework directed to the study of the smart grids environment, including the simulation of electricity markets. This is achieved through the integration of the proposed approach with the MASGriP (Multi-Agent Smart Grid Platform) system.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

Simulação Dinâmica do Centro de Dia e Apoio à Terceira Idade de Leça do Balio

Pela importância que os edifícios têm na utilização de energia, a avaliação do seu desempenho energético é de grande relevância, uma vez que, em grande parte, passa por estes a concretização das metas europeias definidas para 2020, no que concerne à diminuição da utilização de energia. Tendo em conta que os edifícios representam 40% do consumo de energia total, e estando o sector em expansão, esta realidade obriga a uma procura de soluções integradas de arquitetura e engenharia que promovam a sustentabilidade dos edifícios. Foi efetuado um estudo num edifício constituído por dois corpos, um mais antigo que funciona como centro de dia e um mais recente que funciona como lar, localizados no concelho de Matosinhos, onde se identificaram os pontos de maior consumo energético, para os quais foram sugeridas alterações no sentido de baixar os custos com a factura energética. Nesta dissertação foi utilizado um software de simulação dinâmica para avaliação do comportamento térmico do edifício nas condições atuais e, posteriormente, foram simulados outros cenários com alterações ao nível da envolvente térmica dos edifícios e dos seus sistemas técnicos, que permitiram identificar algumas medidas de melhoria de eficiência energética. As medidas de melhoria sugeridas implicam uma redução energética, ao nível do consumo de água quente sanitária, consumo de gás natural e electricidade. De entre essas medidas, e com um payback inferior a 8 anos e meio, destacam-se a instalação de redutores de caudal, a substituição da caldeira e da bomba de recirculação, a instalação de painéis solares térmicos e a redução da quantidade de lâmpadas.

TEA: Timing and Energy Aware compression architecture for Efficient Configuration in CGRAs

Coarse Grained Reconfigurable Architectures (CGRAs) are emerging as enabling platforms to meet the high performance demanded by modern applications (e.g. 4G, CDMA, etc.). Recently proposed CGRAs offer time-multiplexing and dynamic applications parallelism to enhance device utilization and reduce energy consumption at the cost of additional memory (up to 50% area of the overall platform). To reduce the memory overheads, novel CGRAs employ either statistical compression, intermediate compact representation, or multicasting. Each compaction technique has different properties (i.e. compression ratio, decompression time and decompression energy) and is best suited for a particular class of applications. However, existing research only deals with these methods separately. Moreover, they only analyze the compaction ratio and do not evaluate the associated energy overheads. To tackle these issues, we propose a polymorphic compression architecture that interleaves these techniques in a unique platform. The proposed architecture allows each application to take advantage of a separate compression/decompression hierarchy (consisting of various types and implementations of hardware/software decoders) tailored to its needs. Simulation results, using different applications (FFT, Matrix multiplication, and WLAN), reveal that the choice of compression hierarchy has a significant impact on compression ratio (up to 52%), decompression energy (up to 4 orders of magnitude), and configuration time (from 33 n to 1.5 s) for the tested applications. Synthesis results reveal that introducing adaptivity incurs negligible additional overheads (1%) compared to the overall platform area.

A Novel Run-Time Monitoring Architecture for Safe and Efficient Inline Monitoring

20th International Conference on Reliable Software Technologies - Ada-Europe 2015 (Ada-Europe 2015), Madrid, Spain.

A module for the XDense architecture in ns-3

Demo in Workshop on ns-3 (WNS3 2015). 13 to 14, May, 2015. Castelldefels, Spain.

A Novel Runtime Monitoring Architecture

Poster presented in 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2015). 25 to 28, Mar, 2015, Poster Session. Porto, Portugal.

Architecture to Support Quality of Service in Arrowhead Systems

Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Covilhã, Portugal.

Run-time Monitoring Architecture for RealTime Systems

Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Portugal.

Crowdsourcing innovation: a proposal for a brokering architecture focused in the innovation needs of SMEs

Crowdsourcing is evolving into powerful outsourcing options for organizations by providing access to the intellectual capital within a vast knowledge community. Innovation brokering services have emerged to facilitate crowdsourcing projects by connecting up companies with potential solution providers within the wider ‘crowd’. Most existing innovation brokering services are primarily aimed at larger organizations, however, Small and Medium Enterprises (SMEs) offer considerable potential for crowdsourcing activity since they are typically the innovation and employment engines in society; they are typically more nimble and responsive to the business environment than the larger companies. SMEs have very different challenges and needs to larger organizations since they have fewer resources, a more limited knowledge and skill base, and immature management practices. Consequently, innovation brokering for SMEs require considerably more support than for larger organizations. This paper identifies the crowdsourcing innovation brokerage facilities needed by SMEs, and presents an architecture that encourages knowledge sharing, development of community, support in mixing and matching capabilities, and management of stakeholders’ risks. Innovation brokering is emerging as a novel business model that is challenging concepts of the traditional value chain and organizational boundaries.