基于雷达的高炉料线形状融合测量与补偿算法

Blast furnace line shape measurement fusion and compensation algorithm based on radar

  • 摘要: 不采用传统接触力模型自下而上的高炉料面形状计算方法,而是根据土坡力学颗粒物质堆积理论,提出了新的基于堆积法的高炉料线形状融合计算方法,直接对料面形状进行计算.围绕高炉多环布料的炉料堆积特点,结合炉顶六点阵列雷达,获得了料面形状计算的边界条件,弥补了传统料型计算靠十字测温加机械探尺的经验估算.新方法通过高炉布料规律及炉料颗粒的物理堆积插值方法,采用贝叶斯数据融合方法和分段三次Hermite插值,结合布料体积约束条件,完成了理论计算与测量修正的结合.实测结果表明:料面形状融合法比传统单独的料面估算法,测量精度提高4.8%,料面分辨率提高27.2%,使布料控制可以更加精准和有针对性.

     

    Abstract: A fusion measuring method proposed in this paper by using the soil mechanical granular accumulation theory is a new concept for computing the burden line shape in blast furnaces. This method offers a powerful solution to compute the burden line shape directly in comparison with the traditional way in which the contact force model is adopted to compute the burden line shape in blast furnaces from the bottom up. With the multiloop distributing accumulation property of blast furnaces and the advantage of 6-point array radar on the top, the boundary conditions of the burden line shape can be easily calculated. Under the boundary conditions, the estimated values gotten by cross temperature and mechanical sounding rods can be compensated. Taking into consideration the distributing discipline of blast furnaces and the particle accumulation method, this method adopts Bayes data fusion and sectional triple Hermite interpolation under the boundary conditions to finish the combination of theoretical calculation and measurement correction. Measurement results indicate that compared with the traditional method, the measurement accuracy rises by 4.8% and the resolution of the burden line increases by 27.2%, which make the control of burdening more precise and more targeting.

     

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