Parameter self-adaptive adjusting method and device

Abstract

The embodiment of the invention discloses a parameter self-adaptive adjusting method and device. The parameter self-adaptive adjusting method is used for adjusting the pelletizing parameters of a pellet production system in a self-adaptive mode, improving the quality of the pelletizing quality, enabling the quality of a produced finished pellet to meet the production requirements, and saving the labor cost. The method comprises the following steps that the particle size of a green ball produced by a disc pelletizer is detected; and whether the green ball produced by the disc pelletizer meets apreset condition or not is judged based on the particle size of the green ball; and if the particle size of the green ball produced by the disc pelletizer does not meet the preset condition, the parameter adjustment strategy of the pellet production system is determined on the basis of the granularity of the green pellet.

Description

Technical field [0001] The invention relates to the technical field of steel smelting, in particular to a method and device for self-adapting parameters. Background technique [0002] Pellets are one of the important raw materials for blast furnace ironmaking, and their quality has an important impact on blast furnace smelting. Pelletizing method is a process of making finely ground iron powder into massive materials that can meet the requirements of smelting. The process includes preparing raw materials (finely ground concentrate, additives or binders, etc.) in a certain proportion After batching, mixing, and then producing green balls with a certain size, the green balls are dried and roasted to cause a series of physical and chemical changes to harden and consolidate to obtain finished pellets. Among them, the intermediate product obtained by pelletizing is called green pellets, and the output and quality of green pellets largely determine the output and quality of finished p...

AI Technical Summary

Problems solved by technology

[0004] Therefore, in the prior art, relying on experience to judge the particle size of raw pellets has poor accuracy, and misjudgments often occur, misleading subsequent operations

Moreover, different operators have different experiences and technical levels, the adjustment methods and ranges are inconsistent, and the operation methods are not uniform, which may easily cause frequent fluctuations in the particle size of the raw pellets and the adjustment is not timely. , it is easy to cause insufficient adjustment range or overshoot

The above problems will have a serious adverse effect on the subsequent roasting operation and the quality of the finished pellets

In addition, in order to meet the production demand, a pellet production line is generally equipped with multiple pelletizing machines, and operators need to frequently walk between different pelletizing machines, which is extremely labor-intensive

Therefore, there are technical problems in the prior art that the adjustment method of pelletizing parameters is inaccurate, resulting in the quality of finished pellets not meeting the production requirements and high labor costs.

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