Novel burning-through point forecasting technology

Abstract

The invention discloses a novel burning-through point forecasting technology, and belongs to the technical field of burning production process control. The novel burning-through point forecasting technology includes steps of 1), calculating basic exhaust gas temperature curves; 2), correcting the basic exhaust gas temperature curves through bellow pressure and breathability information; 3), summarizing data for a period of time and forecasting burning inflection points and the burning-through points according to newly-generated curves; wherein a method for calculating the basic exhaust gas temperature curves includes that one thermoelectric couple is mounted in each burning bellow and used for measuring exhaust gas temperature inside the bellow, the exhaust gas temperature inside the bellows is taken as a y-coordinate and a trolley bellow position as an x-coordinate to match basic temperature curves according to the multiple interpolation algorithm. Since various factors such as the exhaust gas temperature, the bellow pressure and breathability of mixed materials are taken into consideration and measured exhaust gas temperature is corrected, the temperature curves can more truly reflect a burning process so as to further accurately determine the burning inflection points and the burning-through points and provide reliable burning control information for operators.

Description

technical field [0001] The invention belongs to the technical field of sintering production process control, and in particular relates to a novel sintering endpoint prediction technology. Background technique [0002] The control of the sintering process is very complicated. It involves a large number of physical parameters such as temperature, pressure, speed, and flow rate, as well as complex processes such as physical changes, chemical reactions, and liquid phase formation, as well as the distribution of gas in the solid material layer and the temperature field distribution. It is a multi-faceted problem with complex characteristics such as multi-variable, nonlinear, and strong coupling. At present, the judgment of the sintering end point is based solely on manual experience. It is difficult to accurately determine the position of the sintering end point, and there is no "global consistency". It is difficult to ensure that each operator's judgment can be very accurate. ...

AI Technical Summary

Problems solved by technology

At present, the judgment of the sintering end point is based solely on manual experience. It is difficult to accurately determine the position of the sintering end point, and there is no "global consistency". It is difficult to ensure that each operator's judgment can be very accurate.

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