Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.

Cyber-ambient intelligent training of operators in power systems control centres

Cyber-Physical Systems and Ambient Intelligence are two of the most important and emerging paradigms of our days. The introduction of renewable sources gave origin to a completely different dimension of the distribution generation problem. On the other hand, Electricity Markets introduced a different dimension in the complexity, the economic dimension. Our goal is to study how to proceed with the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.

An intelligent tutoring system for operators’ training in power system control centres

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, taking into account context awareness and the unobtrusive integration in the working environment.

Intelligent training in control centres based on an ambient intelligence paradigm

This article describes a new approach in the Intelligent Training of Operators in Power Systems Control Centres, considering the new reality of Renewable Sources, Distributed Generation, and Electricity Markets, under the emerging paradigms of Cyber-Physical Systems and Ambient Intelligence. We propose Intelligent Tutoring Systems as the approach to deal with the intelligent training of operators in these new circumstances.

Intelligent SCADA for load control

A supervisory control and data acquisition (SCADA) system is an integrated platform that incorporates several components and it has been applied in the field of power systems and several engineering applications to monitor, operate and control a lot of processes. In the future electrical networks, SCADA systems are essential for an intelligent management of resources like distributed generation and demand response, implemented in the smart grid context. This paper presents a SCADA system for a typical residential house. The application is implemented on MOVICON™11 software. The main objective is to manage the residential consumption, reducing or curtailing loads to keep the power consumption in or below a specified setpoint, imposed by the costumer and the generation availability.

Combining artificial intelligence techniques for the training of power system control centre operators

Control Centre operators are essential to assure a good performance of Power Systems. Operators’ actions are critical in dealing with incidents, especially severe faults, like blackouts. In this paper we present an Intelligent Tutoring approach for training Portuguese Control Centre operators in incident analysis and diagnosis, and service restoration of Power Systems, offering context awareness and an easy integration in the working environment.

Blood glucose control in diabetes patients seen in primary health care centers

OBJECTIVE: To identify factors associated to poor glycemic control among diabetic patients seen at primary health care centers. METHODS: A cross-sectional study was carried out in a sample of 372 diabetic patients attending 32 primary health care centers in southern Brazil. Data on three hierarchical levels of health unit infrastructure, medical care and patient characteristics were collected. RESULTS: The frequency of poor glycemic control was 50.5%. Multivariate analysis (multilevel method) showed that patients with body mass indexes below 27 kg/m², patients on oral hypoglycemic agents or insulin, and patients diagnosed as diabetic over five years prior to the interview were more likely to present poor glycemic control when compared to their counterparts. CONCLUSIONS: Given the hierarchical data structuring, all associations found suggest that factors associated to hyperglycemia are related to patient-level characteristics.

Job control, job demands, social support at work and health among adolescent workers

OBJECTIVE: To evaluate physical and psychological dimensions of adolescent labor (such as job demands, job control, and social support in the work environment), and their relation to reported body pain, work injuries, sleep duration and daily working hours. METHODS: A total of 354 adolescents attending evening classes at a public school in São Paulo, Brazil, answered questionnaires regarding their living and working conditions (Karasek's Job Content Questionnaire, 1998), and their health status. Data collection took place in April and May 2001. Multiple logistic regression analysis was used to determine relations among variables. RESULTS: Psychological job demands were related to body pain (OR=3.3), higher risk of work injuries (OR=3.0) and reduced sleep duration in weekdays (Monday to Thursday) (p<0.01). Lower decision authority in the workplace (p=0.03) and higher job security (p=0.02) were related to longer daily working hours. CONCLUSIONS: It was concluded that besides physical stressors, psychological factors are to be taken into account when studying adolescent working conditions, as they may be associated with negative job conditions and health effects.

Evolução dos sistema de telegestão da Empresa Portuguesa das Águas Livres, S.A.

O sistema de telegestão é uma ferramenta que permite a gestão, em tempo real, de todo o sistema de abastecimento da Empresa Portuguesa das Águas Livres, S.A. (EPAL). Esta gestão pode ser conseguida desde a captação da água até à sua entrega ao cliente final, através dos meios de monitorização necessários às operações de comando que permitem controlar e manobrar à distância os acessórios do sistema (estações elevatórias, reservatórios, válvulas,…). A presente dissertação visa a divulgação e compilação de elementos fundamentais para a otimização das potencialidades que a telegestão oferece, abordando assim, dada a sua especificidade, um tema pouco divulgado mas de extrema importância a quem trabalha ou pretende trabalhar numa entidade gestora similar. Assim, a dissertação é constituída por seis capítulos que compreendem a caracterização do sistema de adução, transporte e distribuição da EPAL, a abordagem genérica das ferramentas de suporte à exploração do sistema, uma resenha histórica do sistema de telegestão na EPAL, bem como informações referentes ao atual sistema de telegestão, nomeadamente a sua arquitetura, principais funcionalidades, tais como o controlo de órgãos de manobra à distância e análise de parâmetros de qualidade em tempo real. Finalmente, apresentam-se algumas conclusões e recomendações para trabalhos futuros. Pretende-se assim que o presente documento contribua para uma aglutinação de informações relativas aos sistemas de telegestão para abastecimento de água, respetivas vantagens aliadas às suas funcionalidades, bem como a identificação de fragilidades do sistema que poderão ser aperfeiçoadas ou mesmo eliminadas.

PCMAT Metadata Authoring Tool

This paper introduces the PCMAT platform project and, in particular, one of its components, the PCMAT Metadata Authoring Tool. This is an educational web application that allows the project metadata creators to write the metadata associated to each learning object without any concern for the metadata schema semantics. Furthermore it permits the project managers to add or delete elements to the schema, without having to rewrite or compile any code.

Dificuldades sentidas pelos professores à entrada da profissão

Dissertação apresentada à Escola Superior de Educação para a obtenção do Grau de Mestre em Ciências da Educação, especialidade em Supervisão em Educação

Automatização da E.T.A.R. e Plano de Manutenção para a Adega Cooperativa de Mangualde

Visto que o tratamento das águas residuais é um tema muito importante para a saúde pública, é necessário criar vários processos para o tratamento de efluentes. Após a finalização de todos os processos, o efluente tratado terá de cumprir requisitos de qualidade químicos e biológicos para a sua descarga no meio ambiente. A utilização de equipamentos e técnicas, caraterizados por elevados níveis de precisão (como a tecnologia), é muito importante, pois é possível tornar o sistema mais autónomo, monitorizar processos e controlá-los de forma eficiente e acessível para o utilizador. Assim, neste tipo de sistemas terá que ser utilizado um elemento central de controlo e vários elementos auxiliares, nomeadamente vários tipos de sensores. Também terá que se usar uma interface que permita ao utilizador comunicar com o sistema de controlo, de forma a poder manipular e ajustar determinados parâmetros que influenciam os processos de tratamento. Neste sentido, a presente dissertação apresenta um estudo/projeto, na Adega Cooperativa de Mangualde, onde se pretende automatizar, controlar e monitorizar a Estação de Tratamento de Águas Residuais (ETAR) da mesma. Como, cada vez mais, os lucros das empresas dependem do bom funcionamento, não só dos trabalhadores mas também dos seus equipamentos, é necessário que estes estejam em ótimas condições de trabalho, de forma a evitar avarias e paragens na produção, o que vem trazer, por consequência, prejuízos para as empresas. Assim, realizar-se-á, também, um plano de manutenção para garantir o bom desempenho dos equipamentos desta unidade fabril.

Case-control study on infant mortality in Southern Brazil

OBJECTIVE: To identify risk factors associated with infant mortality and, more specifically, with neonatal mortality. METHODS: A case-control study was carried out in the municipality of Caxias do Sul, Southern Brazil. Characteristics of prenatal care and causes of mortality were assessed for all live births in the 2001-2002 period with a completed live-birth certificate and whose mothers lived in the municipality. Cases were defined as all deaths within the first year of life. As controls, there were selected the two children born immediately after each case in the same hospital, who were of the same sex, and did not die within their first year of life. Multivariate analysis was performed using conditional logistic regression. RESULTS: There was a reduction in infant mortality, the greatest reduction was observed in the post-neonatal period. The variables gestational age (<36 weeks), birth weight (<2,500 g), and 5-minute Apgar (<6) remained in the final model of the multivariate analysis, after adjustment. CONCLUSIONS: Perinatal conditions comprise almost the totality of neonatal deaths, and the majority of deaths occur at delivery. The challenge for reducing infant mortality rate in the city is to reduce the mortality by perinatal conditions in the neonatal period.

Monitorização integrada para sistemas de alimentação distribuídos

Mestrado em Engenharia Electrotécnica e de Computadores

Distributed Model Predictive Control for Housing with Hourly Auction of Available Energy

This paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that simultaneously optimizes the consumption of a limited shared energy resource. The control objective of each subsystem is to minimize the heating/cooling energy cost while maintaining the indoor temperature and used power inside bounds. In a distributed coordinated environment, the control uses multiple dynamically decoupled agents (one for each subsystem/house) aiming to achieve satisfaction of coupling constraints. According to the hourly power demand profile, each house assigns a priority level that indicates how much is willing to bid in auction for consume the limited clean resource. This procedure allows the bidding value vary hourly and consequently, the agents order to access to the clean energy also varies. Despite of power constraints, all houses have also thermal comfort constraints that must be fulfilled. The system is simulated with several houses in a distributed environment.