Revista de ingeniería informática y tecnología de la información

Artificial Neural Network is Based on Control System for Effective Monitoring and Industrial Processes Based on Global System

Adem Aksoy*

This paper presents counterfeit neural organization based wise control framework for powerful checking and control of modern cycles dependent on Global System for Mobile Communication organization (GSM). This framework gives ideal answer for observing basic oil/gas plant factors, for example, temperature, tension, level and stream rate. Authentic and ongoing information can be gotten to overall utilizing the GSM organization. The proposed framework screens and controls these factors from the distant area and at whatever point it crosses the put forth line, a microcontroller will sends a SMS to concerned plant personnel(s) cell phone by means of GSM organization. The concerned staff can handle the framework through his cell phone by sending AT Commands to GSM MODEM and thus to the microcontroller A Nokia N90 series GSM cell phone was connected with a PC by means of RS 232 sequential port. A PC was utilized as SMS passage just as to make a data set to store various records to give rundown of changes. A SMS empower was likewise acquainted with empower revealing specialist to speak with the plant. Low level computing construct, C Language and Visual BASIC were utilized at various stages to program the important equipment. Information acquired from this analysis were examined utilizing MATLAB. The exhibition assessment and the bend created with MATLAB shows that utilizing ANN regulators to control modern Process gives better outcome/execution than on/off regulators.

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.