一类复杂工业过程的智能预报模型及其应用

针对复杂工业过程中关键变量的测量问题,基于智能技术提出一种由数据采集与处理模块、决策支持模块、预报模块、在线校正模块以及效果评价模块组成的智能预报模型,并将该模型用于竖炉焙烧过程的优化控制与决策中.应用结果表明其维护费用低、实时性好、可靠性及精度高,在很大程度上解决了关键变量测量困难的问题,为选矿厂综合自动化系统的优化控制与优化运行奠定了良好的基础.

Intelligent Prediction Model for a Class of Complex Industrial Process and Its Application

Based on intelligence technology, an intelligent prediction model is developed, which consists of five modules: Data collection and pretreatment, decision-making support, prediction, on-line modification and effect estimate. It is applied in the optimization decision and control for shaft furnace roasting process. Industrial application shows that it solves the problem of the measurement difficulty of the key variables to a great extent, and has low maintenance expense, good real time character, high reliability and perfectly precision. The model provides good foundation for the optimal operation and the optimal control of minerals processing factory.