基于粒度识别的烧结智能配水技术研究与应用
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安秀伟 (1984—),男,高级工程师,从事炼铁烧结工艺方面的研究。

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TF046.4;TP18

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Research and application of intelligent sintering water distribution technology based on particle size identification
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    摘要:

    针对烧结混合料水分难以精准测量调节的问题,本文将粒度识别技术与智能配水相结合,开发了烧结智能配水系统。该系统直接将水分的调整与混合料粒度级配建立关系,通过建立基于混合料粒度的前馈-串级自适应优化控制算法对加水量进行实时调整,以达到烧结混合料水分的自动控制。在工业实践数据验证中:应用该智能配水系统后,烧结利用系数由1.36 t/(m2·h)增加到1.41 t/(m2·h),烧结矿转鼓指数由78.10%增加到78.64%,烧结负压由12.71 kPa下降到12.14 kPa,主抽风机负压频率由39.4 Hz下调到38 Hz。

    Abstract:

    In order to solve the problem that it is difficult to accurately measure the moisture of sintering compound, particle size recognition technology and intelligent water distribution are combined, and an intelligent sintering water distribution system is developed. The system directly establishes the relationship between the adjustment of moisture and the size fraction of the compound, and adjusts the water addition in real time by establishing a supervised self-learning optimization control algorithm based on the particle size of the compound, so as to achieve the automatic closed-loop control of the moisture of sintering compound. In industrial practice data verification: After applying this intelligent water distribution system, the sintering utilization coefficient increases from 1.36 t/(m2·h) to 1.41 t/(m2·h), the sinter drum index increases from 78.10% to 78.64%, the negative sintering pressure decreases from 12.71 kPa to 12.14 kPa, and the main sintering pumping frequency decreases from 39.4 Hz to 38 Hz.

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安秀伟,续飞飞,孙宝芳,郑向国,何 波.基于粒度识别的烧结智能配水技术研究与应用[J].烧结球团,2024,(3):48-52

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  • 在线发布日期: 2026-08-25
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