Blast furnace throat temperature estimation method based on multilayer ore-coke ratio distribution model

A distribution model, blast furnace throat technology, applied in the field of blast furnace throat temperature estimation based on multi-layer ore coke ratio distribution model, can solve problems such as long maintenance period, difficult replacement, failure, etc., to ensure production efficiency and product quality quality effect

Active Publication Date: 2021-07-20
ZHEJIANG UNIV
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Problems solved by technology

This method has good dynamic performance, but due to the direct contact with the high temperature air flow, the sensors are vulnerable to damage or failure, especially the sensor in the center
And because of the long maintenance cycle of the blast furnace itself and the inconvenience of the location of the furnace throat, once the temperature sensor is damaged or malfunctions, the maintenance cycle is long and the replacement is difficult
As a result, it is impossible to maintain normal blast furnace throat temperature monitoring, which affects related blast furnace status monitoring, control and optimization, and is not conducive to the normal operation of production

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  • Blast furnace throat temperature estimation method based on multilayer ore-coke ratio distribution model
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  • Blast furnace throat temperature estimation method based on multilayer ore-coke ratio distribution model

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Embodiment Construction

[0045]The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0046] figure 1 The overall flow of the furnace throat temperature estimation method based on the multi-layer ore-coke ratio distribution model according to the embodiment of the present invention is given. Blast furnace equipment parameters, material distribution matrix and blast furnace state parameters are used to establish the distribution model of blast furnace charge layer. Perform data processing on blast furnace state parameters and cloth matrix, including sampling synchronization, data cleaning and feature selection. Combine the processed state parameters with the distribution of multi-layer ore-coke ratios to obtain the required input data. The GRNN algorithm is used to obtain the estimated value of the furnace throat temperature.

[0047] In order to realize the modeling process of the material layer structure, the following assump...

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Abstract

The invention discloses a blast furnace throat temperature estimation method based on a multilayer ore-coke ratio distribution model. According to the method, blast furnace equipment parameters and a material distribution matrix are utilized, the material surface shape of each layer is calculated according to the material distribution movement process, a material layer distribution model is established in combination with the descending process, and the ore-coke ratio of each material layer is obtained. According to the method, multi-layer ore-coke ratio distribution and main parameters of a blast furnace are used as input, a generalized regression neural network is used for estimating the temperature of a furnace throat temperature measurement corresponding position, and furnace throat temperature monitoring in the blast furnace smelting process is achieved. According to the blast furnace operation data, the in-furnace material layer distribution structure is established, the influence of the multi-layer ore-coke ratio in the furnace top gas flow distribution forming process is considered, and estimation of the furnace throat temperature is achieved. In the production and operation process of the blast furnace, when the furnace throat temperature measuring device breaks down or needs to be replaced, the temperature estimation method provided by the invention can keep high-precision, effective and dynamic monitoring on the furnace throat temperature, and normal production is ensured.

Description

technical field [0001] The invention relates to the technical field of energy and power engineering, in particular to a blast furnace throat temperature estimation method based on a multi-layer ore-coke ratio distribution model. Background technique [0002] As the world's demand for steel and steel production continue to increase, the production and quality of steel have become an important indicator of a country's development and economic strength. The iron and steel industry is one of the pillar industries of a modern country, and at the same time it is a major source of energy, resource consumption and environmental pollution, which has a crucial impact on the sustainable development strategy. [0003] Blast furnace ironmaking is one of the core parts of steel production. It is mainly a process of reducing iron from iron ore and other iron-containing compounds to provide raw materials for subsequent steelmaking links. The quality of molten iron output directly affects st...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F119/08
CPCG06F30/20G06F2119/08Y02P90/30G06F30/27C21B5/006C21B7/24F27B1/28F27D19/00C21B2300/04
Inventor 唐晓宇金王震郝政王鑫杨春节
Owner ZHEJIANG UNIV
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