Analysis of the Performance of a Newly Developed Heat Control System to Protect Machine from Overheat

Abstract

In industrial machines different alarms are embedded in machines controllers. They make use of sensors and machine states to indicate to end-users various information (e.g. diagnostics or need of maintenance) or to put machines in a specific mode (e.g. shut-down when thermal protection is activated). More specifically, the alarms are often triggered based on comparing sensors data to a threshold defined in the controller’s software. In batch production machines, triggering an alarm (e.g. thermal protection) in the middle of a batch production is crucial for the quality of the produced batch and results into a high production loss. This situation can be avoided if the settings of the production machine (e.g. production speed) is adjusted accordingly based on the temperature monitoring. Therefore, predicting a temperature alarm and adjusting the production speed to avoid triggering the alarm seems logical. In this paper we show the effectiveness of Least Squares Support Vector Machines (LS-SVMs) in predicting the evolution of the temperature in a steel production machine and, as a consequence, possible alarms due to overheating. Firstly, in an offline fashion, we develop a micro controller based heat detector model, where a systematic model selection procedure allows to carefully tune the model parameters. Afterwards, the Micro controller model is used online to forecast the future temperature trend. Finally, in this project we are detecting machine overheat by micro controller. An embedded system is a combination of computer hardware and software designed to perform a dedicated function. The major part of embedded system hardware is a microcontroller which it acts as a computer-on-a-chip. Microcontroller consists of memory, CPU, input output unit and analog to digital convertor devices. An embedded system uses sensors to receive analog data from external environment, the microcontroller converts the received analog data to digital form. In addition, it compare digital data with the program data that stored in its memory and take the action. The proposed system is simulated by Proteus simulator and the code is written by micro c language. The hardware components that used are microcontroller, sensor for collecting the information, LCD for displaying the collected information, LED and fan, then linking microcontroller by a program that stored in a computer. The sensor take temperature from external environment then a microcontroller convert this temperature from analog to digital by a convertor and compare it with a stored data and take the suitable action.