The Design And Study Of Real-Time Liquidus Temperature Detector With Wireless Function

Liquidus temperature is a critic parameter in the production process of electrolytic aluminum, Get liquidus temperature by measured accurately can control electrolysis temperature efficiently; avoid causing energy waste, and cost increase as excess temperature of electrolyzer. Traditional method to get liquidus temperature is through chemical analysis. Generally, chemical analysis need a long time period leading to that can not reflect real-time production status. Now, liquidus temperature detection devices appear in industry and most of which are based on offline measurement methods, which also has the shortage that can not reflect the production status of electrolytic aluminum real-time. For the real-time reflection of aluminum electrolysis production status, enterprises of electrolytic aluminum production urgent need online liquidus temperature detection device.This article introduces design philosophy, system construction, soft-hardware design and new algorithm to increase system accuracy of real-time liquidus temperature detector. Through analysis thermal couple temperature measurement principle, usual thermal couple characters, and combine the demand of measuring liquidus temperature to the accuracy and speed of digital-to-analog and to human-computer interaction, the computer and embedded technology are utilized to make hardware of liquidus temperature detector.In order to collect the weak signal passed by thermal couple sensor, circuit adopts conditioning circuit, pre amplifier circuit, high order filter circuit and so on. As the characters of circuit and thermal couple, voltage-temperature signal is not the absolutely linear relationship. To solve the nonlinear problem that converts from voltage to temperature, new calibration algorithm is put forward. The actual test proved that the calibration method is effective to improve the detection accuracy of the system. Real test verifies the effectiveness of the calibration algorithm to improve system measurement accuracy.