Volume 12, Issue 1, January 2020

 

 

SMS Based Remote Monitoring and Control of Industrial Processes using Artificial
 

SMS Based Remote Monitoring and Control of Industrial Processes using Artificial

Pages: 1-13 (13) | [Full Text] PDF (847 KB)
Inyiama H.C, Dimoji D.O
Department of Physics/Electronics, Abia State Polytechnic, P. M. B. 7116, Aba, Nigeria
School of Industrial Technology, Abia State Polytechnic, P. M. B. 7116, Aba, Nigeria
Department of Welding/Fabrication, Abia State Polytechnic, P. M. B. 7116, Aba, Nigeria

https://doi.org/10.47277/IJCEIT/12(1)1


Abstract -
This paper presents artificial neural network (ANN) based intelligent control system for effective monitoring and control of industrial processes based on Global System for Mobile Communication network (GSM). This system provides ideal solution for monitoring critical oil/gas plant variables such as temperature, pressure, level and flow- rate. Historical and real time data can be accessed worldwide using the GSM network. The proposed system monitors and controls these variables from the remote location and whenever it crosses the set limit, a microcontroller will sends an SMS to concerned plant personnel(s) mobile phone via GSM network. The concerned personnel can control the system through his mobile phone by sending AT Commands to GSM MODEM and in turn to the microcontroller A Nokia N90 series GSM mobile phone was interfaced with a PC via RS 232 serial port. A PC was used as SMS gateway as well as to create a database to store different records to provide list of changes. An SMS enable was also introduced to enable reporting agent to communicate with the plant. Assembly language, C Language and Visual BASIC were used at different stages to program the necessary hardware. Data obtained from this experiment were analyzed using MATLAB. The performance evaluation and the curve generated with MATLAB shows that using ANN controllers to control industrial Process gives better result/performance than on/off controllers.
 
Index Terms - Artificial Neural Network, SMS based monitoring & control, process control, and remote control

Citation - Inyiama H.C, Dimoji D.O. "SMS Based Remote Monitoring and Control of Industrial Processes using Artificial." International Journal of Computer Engineering and Information Technology 12, no. 1 (2020): 1-13.