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Sintering intelligent data optimization method

A data and intelligent technology, applied in data processing applications, instruments, forecasting, etc., can solve the problems of sintering output quality optimization, inability to effectively save labor costs, manual operation errors, etc., and achieve the effect of improving quality and output

Active Publication Date: 2017-01-25
LIAONING ZHONGXIN AUTOMATIC CONTROL
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Problems solved by technology

The use of these systems can help the sintering plant to improve the output and quality to a certain extent, but it cannot be used to guide the production to optimize the sintering output and quality, let alone effectively save labor costs and reduce manual operation errors

Method used

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Embodiment Construction

[0042] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0043] A kind of sintering intelligent data optimization method described in the present invention comprises the following steps:

[0044] 1) On the basis of the existing primary control system and secondary control system of the sintering plant, data mining and analysis are carried out on the collected production process data; the primary control system is used to collect the sintering process flow and equipment operation status And implement monitoring, the secondary control system is used for the collection, sorting, analysis, storage, event reminder and report generation of production process data; through the process factors that affect the sintering quality, fuel consumption and sintering end control respectively. Mining and analysis to optimize the operation of related processes;

[0045] 2) The optimization process for sintering quality i...

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Abstract

The invention relates to a sintering intelligent data optimization method, the data mining and analysis of the collected production process data is performed on the basis of the existing primary and secondary control system of the sintering plant; the data mining and analysis of the process factors influencing the sintering quality, fuel consumption and sintering end control are performed to optimize the operation of the related process; the data mining analysis of the optimization process adopts the genetic algorithm as the main body, introduces the concept of information gain entropy, and supplements with the internal core algorithm of the decision tree algorithm, the calculation process comprises the steps of 1, initializing; 2, bringing each operator into the fitness function FUNC one by one, and calculating the corresponding fitness value of each operator fun [X]; 3, performing the further iterative search of genetic, crossover and mutation through genetic algorithm, so that the target data falls into the target interval with the maximum probability. The sintering intelligent data optimization method can be used for achieving the purpose of improving the quality and production of a sintered product.

Description

technical field [0001] The invention relates to the technical field of sintering production, in particular to a sintering intelligent data optimization method. Background technique [0002] As a developing country, the iron and steel industry is an important basic industry in my country, and its output has always been in a leading position. However, the automation level of my country's iron and steel enterprises is still relatively low compared with developed countries. After joining the WTO, the iron and steel industry has been facing fierce competition in the international market. To improve the market competitiveness of my country's iron and steel enterprises, it is necessary to improve their automation level as soon as possible, so that my country will change from a big steel country to a strong steel country. [0003] With the rapid growth of my country's iron and steel production, blast furnace ironmaking has increasingly high requirements for the quality and quantity o...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/04G06N3/12
Inventor 孙荻李俭赵崇翰
Owner LIAONING ZHONGXIN AUTOMATIC CONTROL
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