Del diseño a la programación de sistemas de control para la automatización de procesos industriales basados en PLC`s

Actualmente las mayoría de sistemas de automatización industrial utilizan los Autómatas Programables (PLC - Programmable Logic Controller) como sistemas de control y el diseño de dicho sistema se realiza mediante el lenguaje de modelado Grafcet. SFCEdit es un editor de Grafcet que permite el diseño de estos sistemas de control y la exportación de los mismos en un formato XML. Resumen Por otra parte tenemos la norma IEC 61131-3 que busca estandarizar los lenguajes de programación de los PLC de esta manera no se tendría que usar un lenguaje distinto por cada fabricante, y la organización PLCOpen rigiéndose por la norma ha creado un formato XML para cada lenguaje, en los cuales se basa el traductor. Resumen Habitualmente el paso del diseño a la programación se realiza de forma manual. La automatización de este proceso es el objetivo general del proyecto realizado. En esté se ha desarrollado una herramienta que permite realizar la traducción del diseño gráfico al estándar IEC 61131-3 considerando las particularidades de algunos fabricantes de PLCs como Beckhoff (TwinCAT) y TSX Micro (PL7Pro). Además la herramienta realiza la traducción al formato XML de PLCOpen. Resumen El traductor funciona recibiendo un fichero XML (exportado de SFCEdit) procesa su información y genera los ficheros en función de la compatibilidad que el usuario seleccione.

Electrónica de Potencia

Nivel educativo: Grado. Duración (en horas): Más de 50 horas

Modernización y cambio social en Bizkaia durante el siglo industrial, 1877-1975. Claves de un proceso

375 p.

Analysis of multivariate stochastic signals sampled by on-line particle analyzers: Application to the quantitative assessment of occupational exposure to NOAA in multisource industrial scenarios (MSIS)

In multisource industrial scenarios (MSIS) coexist NOAA generating activities with other productive sources of airborne particles, such as parallel processes of manufacturing or electrical and diesel machinery. A distinctive characteristic of MSIS is the spatially complex distribution of aerosol sources, as well as their potential differences in dynamics, due to the feasibility of multi-task configuration at a given time. Thus, the background signal is expected to challenge the aerosol analyzers at a probably wide range of concentrations and size distributions, depending of the multisource configuration at a given time. Monitoring and prediction by using statistical analysis of time series captured by on-line particle analyzers in industrial scenarios, have been proven to be feasible in predicting PNC evolution provided a given quality of net signals (difference between signal at source and background). However the analysis and modelling of non-consistent time series, influenced by low levels of SNR (Signal-Noise Ratio) could build a misleading basis for decision making. In this context, this work explores the use of stochastic models based on ARIMA methodology to monitor and predict exposure values (PNC). The study was carried out in a MSIS where an case study focused on the manufacture of perforated tablets of nano-TiO2 by cold pressing was performed

Analytical strategies to solve problems in industrial and official laboratories

210 p.

A database for the industrial trawl fishery of Cote d'Ivoire

Fishery statistics for the industrial trawl fishery of Cote d'Ivoire have been well documented since 1968. However, data processing has changed significantly with time and some of the data files have been lost. In 1997, the Centre de Recherches Oceanologiques d'Abidjan decided to retrieve and process all trawl data available from different sources. This paper gives an overview of the database covering the period 1968 to 1997 and describes its coverage, format, structure and use. The database was developed using MS ACCESS and is a powerful tool for storing information about this fishery, and for analysis of its dynamics over a period of 30 years.

Escalation in shrimp production in the Sierra Leone industrial fishery

Applying Turkey's jackknife method on MSY estimates from the surplus production models of Schaefer and Fox showed that the optimum yield for shrimps in industrial fishery in Sierra Leone is estimated at 2,686.8 t with 15,822 fishing days. Annual catch for 1996 was 2,788 t, indicating an escalation in exploitation which, if prolonged, could bring reduced productivity as experienced in the fishery some years ago.