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Prediction device for ore discharge temperature of sinter cooler equipment

A technology of mining temperature and prediction device, which is applied in the direction of prediction, instrumentation, data processing application, etc., can solve problems such as difficulties, achieve the effect of improving prediction accuracy and reducing temperature prediction error

Active Publication Date: 2021-11-16
TOSHIBA MITSUBISHI-ELECTRIC IND SYST CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the conventional method, it is difficult to always predict the ore temperature with good accuracy.

Method used

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  • Prediction device for ore discharge temperature of sinter cooler equipment
  • Prediction device for ore discharge temperature of sinter cooler equipment
  • Prediction device for ore discharge temperature of sinter cooler equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0042] (Structure of cooler equipment)

[0043] The basic structure of the sintering line in the system according to Embodiment 1 of the present invention is the same as that described above figure 1 is the same. The cooler facility 1 (sintering cooler facility) cools the high-temperature sintered ore solidified by the sintering facility 2 and sends it to the belt conveyor 3 for conveying to downstream facilities. refer to figure 2 right figure 1 The structure of the cooler device 1 shown is illustrated. The cooler equipment 1 is equipped with the air blower 1b, the storage container 1c, and the mining machine 1d.

[0044] The air blower 1b is set at figure 2 The air supply duct inside the cylindrical storage container 1c shown in the longitudinal sectional view of , supplies cooling air to the storage container 1c. The sintered ore in the container 1c is transported by the belt conveyor 3( figure 1 ) is cooled for the target heat-resistant temperature.

[0045] Acco...

Embodiment approach 2

[0178] Next, refer to Figure 11 Embodiment 2 of the present invention will be described. Due to the characteristics of the cooler equipment that rotates as described above, periodic temperature prediction errors that are synchronized with the rotation speed of the cooler occur. Therefore, in this embodiment, a recurrent neural network (recurrent neural network) capable of predicting time-series changes in temperature prediction errors is employed. The recurrent neural network is a network structure that takes time-series information into consideration by combining the intermediate layer at the previous time with the input at the next time for learning.

[0179] In the error learning calculation unit 4e according to the second embodiment of the present invention, the recurrent neural network is made to learn the relationship between the past temperature prediction error and the current temperature prediction error. As a learning method of the recurrent neural network, common...

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Abstract

A device for predicting the ore-out temperature of sintered cooler equipment reduces the periodic temperature prediction error synchronized with the rotation speed of the cooler and improves the prediction accuracy of the ore-out temperature. The ore-out temperature prediction device is equipped with: the predicted ore-out temperature calculation unit divides the storage container with nodes of the same volume virtually, and calculates the sintered ore located at each node based on the actual data of the input data by the amount of one node every time the storage container is rotated. The current temperature of , and then, based on the predicted changes in the future time of the input data, calculate the predicted ore temperature when the sintered ore located at each node moves to the ore outlet. The error learning calculation unit updates an error learning parameter for a periodic temperature prediction error synchronized with the rotation of the container based on a temperature prediction error that is a difference between an actual ore-exiting temperature and a predicted ore-exiting temperature of the same node. The error learning value correcting unit uses the error learning parameter to correct the predicted ore-discharging temperature of each node calculated by the predicted ore-discharging temperature calculation unit.

Description

technical field [0001] The invention relates to a device for predicting ore discharge temperature of sintering cooler equipment. In particular, it relates to a discharge temperature prediction device used to determine an appropriate air volume in the cooling process control of sinter cooler equipment. Background technique [0002] refer to figure 1 A sintering line including cooler equipment will be described. figure 1 It is the equipment structure diagram of the sintering production line. Raw materials for blending coke and iron ore are put into the sintering facility 2 . The sintering facility 2 ignites this raw material with an ignition device, promotes combustion by feeding air, and generates sintered ore 2a that has been solidified. The thermometer 2c measures the air temperature of the rear-stage air box. The cooler equipment 1 is equipped with a storage container 1c and an air supply device 1b, the above-mentioned storage container 1c is supplied with high-temper...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04
CPCC22B1/26G06Q10/04G06Q50/02
Inventor 上野聪北乡和寿尾坂侑香
Owner TOSHIBA MITSUBISHI-ELECTRIC IND SYST CORP