Roasting furnace real-time furnace condition evaluation method based on temperature trend feature extraction
A feature extraction and roasting furnace technology, which is applied in the field of real-time furnace condition evaluation of roasting furnaces based on temperature trend feature extraction, can solve the problems affecting the stability control of the boiling layer standard temperature and the large time delay of the roasting furnace, so as to overcome the large time delay problem , Accurate temperature changes, and the effect of accurate temperature prediction
Active Publication Date: 2021-06-08
CENT SOUTH UNIV
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[0005] Based on the above problems, the present invention provides a method for evaluating the real-time furnace condition of the roasting furnace based on temperature trend feature extraction, which solves the problem that the roasting furnace has a large time lag and affects the stable control of the boiling layer standard temperature
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[0070] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following examples are intended to illustrate the invention, but are not intended to limit the scope of the invention.
[0071] The embodiment of the present invention is background, and the process flow chart is like a smelting plant. figure 1 Indicated. During the roasting process, the zinc concentrate particles are mixed with the disc feed machine and blow into the boiling roasting furnace by the conveyor belt, the blower drums the air from the roast furnace into the roast furnace, through the uniformly distributed housing on the distribution plate. The drum-entered air is fully contacted with the zinc concentrate. When the wind speed reaches a certain speed, the zinc concentrate particles will be suspended to form the boiling layer, and the state of the boiling layer is the main factor affecting the furnace furnace, and the state of the boiling layer It is mainly perceived by the temperature obtained by the three-lay...
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The invention discloses a roasting furnace real-time furnace condition evaluation method based on temperature trend feature extraction. The method comprises the steps of carrying out primary and secondary fitting of an input real-time temperature signal through a least square method, then judging the maximum error and the accumulative error of primary and secondary fitting signals of the fitting signal through a threshold value, enabling the real-time temperature signal to be subjected to self-adaptive segmentation processing, then obtaining a qualitative trend category of the current temperature signal according to the trend division judgment basis, and evaluating a current furnace condition by combining the current temperature signal value and an expert rule, so that the normal and abnormal states of a current roasting furnace boiling layer can be effectively judged, an abnormal state can be reminded in advance, and stable operation of a roasting furnace is effectively ensured.
Description
Technical field [0001] The present invention relates to the field of process control technology, and more particularly to a real-time furnace condition evaluation method extracted based on temperature trend characteristics. Background technique [0002] The main goal of the roasting process is to increase the soluble zinc rate of the roast product, and the temperature, oxygen coefficient and impurity content of the key influencing factors in this process, wherein the oxygen coefficient and impurity content are determined, so the site usually at temperature Stable control as the main evaluation criterion for the baking state. In actual operation, the temperature of the boiling layer is generally a determination condition for the good or bad root state. When the boiling layer temperature is too high or too low, it is necessary to adjust the amount of feed in the amount of feed and the amount of the air supply to control the temperature in a reasonable range; when the amount of the ...
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IPC IPC(8): F27B15/18G06F30/20
CPCF27B15/18G06F30/20G06F2119/08
Inventor 阳春华蒋梦轩李勇刚孙备桂卫华朱红求冯振湘黄科科龙双
Owner CENT SOUTH UNIV