Optimización en el diseño de torres

Fecha de lectura de Tesis Doctoral: 24 de septiembre de 2003.En este trabajo se presenta la formalización de las técnicas de optimización sobre un sistema de cálculo, diseño y fabricación de torres metálicas de transmisión eléctrica y telecomunicación. Su desarrollo e implementación combina distintas herramientas matemáticas tales como el método de los elementos finitos, algoritmos de optimización o la resolución de grandes sistemas de ecuaciones, así como las correspondientes técnicas de ingeniería del software. Entre sus resultados cabe destacar la codificación de los distintos tipos de torres, la creación de las estructuras de datos necesarias para su modelización, la aplicación del sistema de algoritmos genéticos para el diseño óptimo de torres, la generación automática de los planos de fabricación, la minimización de residuos industriales y la definición del cálculo inverso a partir de las ecuaciones de y utilización. Todo ello se concreta en la creación de un sistema experto para el diseño global de estas estructuras, habiéndose contrastado sus resultados con el desarrollo y ensayo a escala real de diferentes prototipos de torres de acero. Junto a los resultados teóricos se adjuntan un conjunto de patentes internacionales surgido a partir de los modelos resultantes

Smart Campus Project

Desarrollado a través del Instituto de Domótica y Eficiencia EnergéticaPresentación del modelo Smart Campus en base a la experiencia realizada durante los últimos 15 años en la Universidad de Málaga. Para ello se han recogido los principales datos de consumo en un edificio tipo (Escuela de Ingenierías) junto con los datos publicados en la Huella Ecológica de la Universidad de Málaga relativos a agua, energía, residuos, gas, petroleo, etc. En resumen, todos los parámetros de sostenibilidad requeridos.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A discrete-time queueing system with feedback and optional service

Queueing systems constitute a central tool in modeling and performance analysis. These types of systems are in our everyday life activities, and the theory of queueing systems was developed to provide models for forecasting behaviors of systems subject to random demand. The practical and useful applications of the discrete-time queues make the researchers to con- tinue making an e ort in analyzing this type of models. Thus the present contribution relates to a discrete-time Geo/G/1 queue in which some messages may need a second service time in addition to the rst essential service. In day-to-day life, there are numerous examples of queueing situations in general, for example, in manufacturing processes, telecommunication, home automation, etc, but in this paper a particular application is the use of video surveil- lance with intrusion recognition where all the arriving messages require the main service and only some may require the subsidiary service provided by the server with di erent types of strategies. We carry out a thorough study of the model, deriving analytical results for the stationary distribution. The generating functions of the number of messages in the queue and in the system are obtained. The generating functions of the busy period as well as the sojourn times of a message in the server, the queue and the system are also provided.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Phases Dynamic Balancer

Most of the current domestic installations are single phase, with contracted power equal to or less than 15 kW and with a potential difference of 230 V. When consumption is expected to be higher you choose to use three different alternating currents with a difference voltage of 400 V between them, which are called phases. This enables the subdivision of the installation in different single-phase circuits, fed independently with the neutral installation. These couples have, in turn, a difference in voltage of 230 V. The neutral is common for all three phases so that, if the system is balanced, no current flows through it. The problem with these installations is that they are designed to work in an offset manner, using phase loads, and simultaneously an equal amount of energy consumed by the three phases of the network. Connection to each of the phases makes independent single-phase loads or disturbance of the operation of the original phase circuit and, consequently, the corresponding increases in consumption, heating of engines, etc.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Metadomotic Optimization Using Genetic Algorithms

New technologies applied in domotic allow us to extract plenty of data about the usual behavior of occupants in any installation. Discipline that works with these data for the pursuit of new knowledge is called Metadomotic. To achieve this learning and relationships between different data, we make use of the tools provided by artificial intelligence. Today the use of these techniques in solving problems is fully extended. Among the best known we will focus on the application of genetic algorithms, technical halfway between biology and mathematics, to try to resolve the issues raised in this paper. This article proposes the classification of domotic parameters to optimize an objective function. In a nutshell we will try two possible applications: 1. The minimization of energy consumption through the classification of the parameters of use and consumption coefficients, inherent to each user and device 2. The maximization of industrial production through the influence of environment parameters Once established several basic suboptimal solutions, they will be combined randomly, through the crossover, mutation and cloning, to try to find the optimal.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Optimization of Energy Distribution in Solar Panel Array Configurations by Graph Theory and Minkowski’s Paths

Nowadays, the development of the photovoltaic (PV) technology is consolidated as a source of renewable energy. The research in the topic of maximum improvement on the energy efficiency of the PV plants is today a major challenge. The main requirement for this purpose is to know the performance of each of the PV modules that integrate the PV field in real time. In this respect, a PLC communications based Smart Monitoring and Communications Module, which is able to monitor at PV level their operating parameters, has been developed at the University of Malaga. With this device you can check if any of the panels is suffering any type of overriding performance, due to a malfunction or partial shadowing of its surface. Since these fluctuations in electricity production from a single panel affect the overall sum of all panels that conform a string, it is necessary to isolate the problem and modify the routes of energy through alternative paths in case of PV panels array configuration.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Smart Sensorization Using Propositional Dynamic Logic

The current high energy prices pose a serious challenge, especially in the domestic economy. In this respect, one of the main problems is obtaining domestic hot water. For this reason, this article develops a heating system applied to a conventional water tank in such a way as to minimize the necessary energy supply by converting it, under certain circumstances, into atmospheric. For this purpose, the domotic system has been equipped with sensors that automate the pressurization of the compartment and solenoid valves that regulate the external water supply. This design, to which different level sensors are applied, sends the information in real time to an artificial intelligence system, by means of deductive control, which recognizes the states of the system. This work shows the introduction of an extension of propositional dynamic logic in the field of energy efficiency. Thanks to this formalism, a qualitative control of the program variables is achieved by incorporating qualitative reasoning tools. On the other hand, it solves preventive maintenance systems through the early detection of faults in the installation. This research has led to the patenting of an intelligent domestic hot water system that considerably reduces energy consumption by setting disjointed heating intervals that, powered by renewable or non-renewable sources, are controlled by a propositional dynamic logic.This research received no external funding. Partial funding for open access charge: Universidad de Málaga

A Genetic Algorithm and an Exact Algorithm for Classifying the Items of a Questionnaire Into Different Competences

A Likert scale is a psychometric response scale primarily used in questionnaires to obtain participant's preferences or degree of agreement with a statement or set of statements. Respondents are asked to indicate their level of agreement with a given statement by way of an ordinal scale. The most commonly used is a 5-point scale ranging from ``Strongly Disagree'' on one end to ``Strongly Agree'' on the other with ``Neither Agree nor Disagree'' in the middle. Normally, when a company wants to check the capabilities and skills of their employees (or when looking for new employees), a huge Likert scale questionnaire is asked to be filled up. With such a questionnaire, different competences are evaluated and therefore, the result of a questionnaire will provide important information about capabilities and skills of the respondents for each competence. As an example, we will describe, for a real questionnaire of 170 Likert items (questions) and 23 competences, how to classify each question with the corresponding competence. That is, to find out, for each Likert item, which competence is evaluated. We will present how to face and solve the problem using two different techniques: 1.- A genetic algorithm}, adapting characteristics of genetic algorithms such as selection, genetic engineering, crossover, mutation and cloning to our classification problem. One of the main advantages of this method is that it can even be used when there are less equations (filled questionnaires) than unknowns (items) and this technique can leads to find the required solution. 2.- An exact method}, by solving a quadratic system of n equations and n unknowns, converting it to a linear system which provides the solution in a easy way. This technique required the use of a Computer Algebra System (specifically, we used {\sc Derive}) for exact computations. One of the main advantages of this technique is that if there are enough equations, this exact method will lead to the solution faster than the numerical approach. After this example, we will set the basics to solve this competence-assignment problem for a generalized version of similar questionnaires with $n$ Likert items for evaluating $m$ competences using both techniques. Finally, we will describe also other advantages and disadvantages of both techniques in addition of the ones described above.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech