| dc.description.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. | en_US |
