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ARTIFICIAL CLONING TECHNOLOGY BASED IN INDUSTRIAL SENSORS AND CONTROLLERS IN NEURAL NETWORK AND GENETIC MAPPING. PROYECTO COLCIENCIAS Autonomous University of Bucaramanga.Colombia Ph.D.Dr.Sc.Ing.Antonio Faustino Muñoz Moner. CONTENIDO. Introducción. Procesos Petroquímicos. Planta de Fenol.

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ARTIFICIAL CLONING TECHNOLOGY BASED IN INDUSTRIAL SENSORS AND CONTROLLERS IN NEURAL NETWORK AND GENETIC MAPPING. PROYECTO COLCIENCIAS

Autonomous University of Bucaramanga.Colombia

Ph.D.Dr.Sc.Ing.Antonio Faustino Muñoz Moner

CONTENIDO

Introducción

Procesos Petroquímicos

Planta de Fenol

Variable a Inferir

(Sensor Real)

Analizadores

y Medidores

Sistemas de Monitoreo y Control de la Planta

Redes Neuronales

Variables de Entrada

(P,L,T,F)

Sensor Virtual

Requerimientos

Metodología

Selección de Entradas

Tratamiento de Señal

Entrenamiento y

ReEntrenamiento

Bases de Datos de Tiempo Real (PI y DCS)

Validación

Aplicación (Sensor Clonado)

Modelo Obtenido

Conclusiones

PROYECTO COLCIENCIAS

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SENSOR CLONADO – Patente de Invención

CONTENIDO

Introducción

Procesos Petroquímicos

Planta de Fenol

Analizadores

y Medidores

Redes Neuronales

Sensor Virtual

Requerimientos

Metodología

Selección de Entradas

Tratamiento de Señal

Entrenamiento y

ReEntrenamiento

Validación

Modelo Obtenido

Conclusiones

PROYECTO COLCIENCIAS

Genetic evolution is a process that evolves a set ofindividuals, which constitutes the population, producing a new population. Here, individuals arehardware designs. The more the design obeys the constraints, the more it is used in thereproduction process. The design constraints could be expressed in terms of hardware area and/orresponse time requirements. The freshly produced population is yield using some genetic

operators such as crossover and mutation that attempt to simulate the natural breeding process inthe hope of generating new design that are fitter i.e. respect more the design constraints. Geneticevolution is usually implemented using genetic algorithms.