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基于既有设备信号的热轧线材物流自动跟踪系统设计

Design of automatic tracking system for hot-rolled wire logistics based on existing equipment signals

  • 摘要: 在热轧盘条生产过程中,物料(盘条)位置跟踪对于准确记录盘条生产过程参数和实现盘条生产的闭环控制具有重要意义。传统上采用安装专用的热金属检测器实现物料位置跟踪,增加了生产装备的成本及维护工作。本文采用生产中既有的轧机电流和辐射测温仪测温值作为物料到位判断信号,实现了盘条的位置跟踪。研究中发现由于存在保温罩遮挡、测温位置偏移等干扰因素,在进行物料到位判断时,若采用固定阈值算法易发生在位状态误判。为克服上述问题,本文设计了一种基于信号跳变的自适应阈值算法,在初始化过程中,通过对信号值归一化处理,获得初始在位判断阈值;对原始信号进行中值滤波后,判断信号跃变类型;在此之后,基于维恩公式对阈值进行自适应计算。现场试验结果表明,采用该算法获得的位置跟踪结果准确、可靠。

     

    Abstract: In the production process of hot-rolled wire rods, material (wire rod) position tracking is of great significance for accurately recording the production process parameters and achieving closed-loop control of wire rod production. Traditionally, dedicated hot metal detectors were installed to achieve material position tracking, which increases the cost and maintenance burden of production facilities. This paper uses the existing rolling mill current and radiation thermometer temperature measurements in production as signals for judging material arrival, achieving position tracking of the wire rods. It was found in the study that due to interference factors such as insulation cover obstruction and temperature measurement position deviation, using a fixed threshold algorithm will lead to misjudgment of position status when judging material arrival. To overcome the above problems, this paper designs an adaptive threshold algorithm based on signal jumps. In the initialization process, the initial position judgment threshold is obtained by normalizing the signal values; after median filtering of the original signal, the type of signal jump is determined. subsequently, the threshold is calculated based on Wien′s formula. Field test results demonstrate that the position tracking results obtained with this algorithm are accurate and reliable.

     

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