Preprocesador de fuzzy inference system (FIS) y motor de inferencia difusa para la plataforma de desarrollo embebida freescale twr-k70f120m

Autores:

Zarate Vasquez, Cristhian Alonso

Tipo de recurso:

http://purl.org/coar/version/c_b1a7d7d4d402bcce

Fecha de publicación:

2016

Institución:

Universidad Industrial de Santander

Repositorio:

Repositorio UIS

Idioma:

spa

Acceso en línea:: https://noesis.uis.edu.co/handle/20.500.14071/34234
https://noesis.uis.edu.co

Palabra clave:: Lógica Difusa
Modelos Difusos
Fuzzy Inference System
Motores De Inferencia Difusa
Sistemas Embebidos.
This document details the development of a software solution that satisfies the needs present in the research project 8556 “Desarrollo de un prototipo de pozo inteligente para Campo Escuela Colorado” (Development of a Smart Well prototype for Campo Escuela Colorado)
which seeks to reduce operational costs and capital expense
increase production and reserve levels
and to accurately detect failures that may occur in an oil well
by using software and hardware elements in mechanical pump type artificial lift systems (Smart Well and Smart Field concepts). The research project 8556 in its first two stages
developed the “Controlador de Pozo Inteligente” (Smart Well Controller)
abbreviated CPI
a hardware and software solution that collects and presents information about operation of a mechanical pump system through sensors that transmit wirelessly to an embedded system located in the vicinity of the machinery. The bachelor thesis “Fuzzy Inference System (FIS) Preprocessor and Fuzzy Inference Engine for the Freescale TWR-K70F120M Embedded Platform” proposed and implemented the software application “Fuzzy Inference System Preprocessor for Embedded Systems”
FISPES
which is able transform a fuzzy model
contained in a plain text file
into a fuzzy inference engine that can be run on the embedded system located in the CPI.

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