智能控制在生料质量控制中的应用

Yupeng Pan, Hongliang Yu, Ping Jiang
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引用次数: 0

摘要

水泥生料质量控制是水泥生产中的重要环节。生料质量控制的合格率对熟料煅烧有至关重要的影响。水泥生产是一个复杂的大系统控制过程,生产过程具有随机性、滞后性和不确定性。生料的质量控制存在一定程度的控制困难。水泥生产企业大多采用人工控制进行控制。智能控制可以弥补人工控制带来的缺陷,智能控制系统可以根据现场情况采取有效的检测手段和控制方法。本文将从智能控制的角度阐述生料生产的过程和控制难点。首先,对检测生食的智能设备进行分类。然后,对工况进行模糊辨识。三是趋势控制和偏差控制。最后,对智能控制结果进行了分析和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Intelligent Control in Raw Meal Quality Control
The raw meal quality control of cement is an important link in cement production. The pass rate of raw meal quality control has a crucial impact on clinker calcination. Cement production is a complex large-scale system control process, the production process has randomness, hysteresis and uncertainty., the quality control of raw meal has a certain degree of control difficulties. Most cement production enterprises adopt manual control to control. Intelligent control can make up for the defects caused by manual control, and the intelligent control system can take effective detection means and control methods according to the situation in the field. This paper will elaborate on the process and control difficulties of raw meal production from the perspective of intelligent control. First, classify intelligent devices that detect raw meal. Then, fuzzy identification of work condition. Third, control by trend control and deviation control. Finally, the intelligent control results are analyzed and verified.
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