汽轮发电机组优化运行专家系统中实时数据的在线预测—验证模型

On-line Forecasting-Validating Model of Real-time Date for Turbogenerator Operating Expert System

从DCS系统得到的实时数据的完整性和准确性是汽轮发电机组优化操作专家系统的基础。针对预测—验证模型的关键问题--计算量和存储量,本文推导了一个实时参数在线预测—验证模型,能很好地预测—验证未来数据。测试结果和实际应用表明该模型适用于汽轮发电机组优化运行专家系统中实时数据的在线动态预测—验证。

The integrity and accuracy of the real-time data acquired by DCS are the foundation of turbogenerator optimizing operating expert system. With the focus of a bottleneck problem amount of calculation and storage, this paper makes an on line real time data forecasting validating model, that can forecast and validate next data magnificently. The experimental result and practical application indicate that the model is applicable to on line real time data forecasting validating for turbogenerator operating expert system.