Treffer: 先进过程控制系统在硫酸装置优化控制中的应用.

Based on the significant multi-parameter coupling effect, prominent nonlinear dynamic characteristics, time-delay effect caused by strong correlation of process variables in large-scale sulfuric acid production units (800 kt/a), as well as the regulatory difficulties where multi-dimensional constraint conditions and multi-objective optimization requirements coexist, a technical implementation plan for an advanced process control system (APC) based on multivariable model predictive control is designed. By constructing multivariate model predictive control optimization for the sulfur burning and conversion process, drying and absorption process, steam process, and heat recovery process, a dual-layer control system combining dynamic control and steady-state optimization is achieved to meet higher-level control objectives. The implementation results show that the standard deviation of key operating process parameters is reduced by 75% - 85%, the automatic control rate is increased to 99.99%, and the steam production rate per ton of acid is improved by 0.56%. The system significantly enhances operational stability and energy efficiency, providing a replicable technical pathway for the intelligent upgrading of the sulfuric acid industry. [ABSTRACT FROM AUTHOR]

基于大型硫酸生产装置 (800 kt/a) 中存在的多参数耦合作用显著, 非线性动态特性突出, 过程变量 强关联性导致的时滞效应, 以及多维约束条件与多目标优化需求并存的调控难点, 设计了一种基于多变量模型预测 控制的先进过程控制系统 (APC) 技术实施方案。通过构建焚硫转化工序, 干吸工序, 蒸汽工序, 低温位热能回收 工序的多变量模型预测控制优化, 实现动态控制与稳态优化的双层控制, 实现装置更高层次的控制目标。实施结果 表明: 主要运行工艺参数标准偏差降低 75%～85%, 自控率提升至 99.99%, 吨酸产汽量提高 0.56%。系统显著提升 了装置运行的平稳性与能效水平, 为硫酸工业的智能化升级提供了可复用的技术路径。 [ABSTRACT FROM AUTHOR]

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