Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Opinion Article, J Comput Eng Inf Technol Vol: 10 Issue: 12

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

Adem Aksoy*

Department of Maritime Transportation Management Engineering, Turgut K?ran Maritime Faculty, Recep Tayyip Erdogan University, Rize, Turkey.

*Corresponding Author:Adem Aksoy
Department of Maritime Transportation Management Engineering, Turgut K?ran Maritime Faculty, Recep Tayyip Erdogan University, Rize, Turkey E-mail: ademaksoy @gmail.com

Received: December 01 2021 Accepted: December 15, 2021 Published: December 22, 2021

Citation:Aksoy A (2021) Artificial Neural Network is Based on Control System for Effective Monitoring and Industrial Processes Based on Global System. J Comput Eng Inf Technol 10:12.

Abstract

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.

Keywords: Artificial neural network, Control system, Global System

Introduction

On-line observing of assembling process is critical in current Industrial cycles for plant security, expansion of creation and consistency of the item quality [1]. There are many cycles running in the oil/gas ventures because of engine, warmer valves and so on, we can deal with significant issues assuming the gadgets are not checked on the grounds that they can be harmed under unusual conditions which might bring about incredible misfortune. The utilization of observing and control innovation in the oil/gas industry has encountered a consistent development that has resembled the advances in administrative control and information obtaining (SCADA) and related advances during the last 30 or more years. Checking and control of distant offices at first implied a team (or groups) spending incalculable hours driving starting with one far off office then onto the next, regularly on a full-time premise. At the point when they saw an issue at an office, they fixed it, which frequently implied making a change in accordance with a piece of gear like a siphon or a valve [2]. The principal jump forward was furnishing these teams with radios to bring in to base camp when an issue was found, or to require extra groups when required. The initial phases in robotizing this interaction were basic observing and alert frameworks. These were regularly electro-mechanical gadgets at remote locales that would convey a message back to a control place by means of radio or rented phone lines. The GSM has made it conceivable to send a ton of information from one side of the world to the opposite side right away [3].

The SMS-based observing and control (SBMC) can be portrayed as the entire of tasks performed to control or screen a framework arranged in a shut organization. A fake neural organization (ANN) is a data handling worldview that is motivated by the way natural sensory systems (like the cerebrum) process data. Christos and Dimitrois (2001) characterized ANN as a data handling worldview that is motivated by the way organic sensory system (like the mind) process data. It is made out of an enormous number of profoundly interconnected handling components (neurons) working as one to tackle explicit issues [4]. In science, the phone group of neuron is known as the soma. The spine-like augmentations of the cell body are dendrites. The axon broadens away from the phone body to give a pathway to active signs. As indicated by Tonnag (2010) signals are moved starting with one neuron then onto the next through a contact point called a neurotransmitter.

References

  1. Bettstetter C Resta, G, Santi P (2003) The node distribution of the random waypoint mobility model for wireless ad hoc networks. IEEE Transactions on mobile computing 2(3): 257-269
  2. Hulst HC, Hulst HCVD (1981) Light Scattering by Small Particles. Courier Corporation.
  3. Iwata A, Chiang CC, Pei G, Gerla M, Chen TW (1999) Scalable routing strategies for ad hoc wireless networks. IEEE J Selected Areas in Communications 17: 1369-1379.
  4. Jiang S, He D, Rao J (2005) A prediction-based link availability estimation for routing metrics in MANETs. IEEE/ACM transactions on networking 13(6): 1302-1312.

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