摘要
文章综合利用某超超临界机组锅炉再热器炉膛内、外壁温测点的实时数据,采用LSTM算法建立了炉内壁温的预测模型,并在近4个月的真实数据集上验证了模型的准确性和有效性。
In this paper, the prediction model of furnace wall temperature is established by using LSTM algorithm, and the accuracy and effectiveness of the model are verified on the real data set of nearly 4 months by using the real data of the furnace and outer wall temperature of a boiler reheater of an ultra-supercritical unit.
作者
李友志
蒋蓬勃
白帆
王继强
苏京彬
宋峰
Li Youzhi;Jiang Pengbo;Bai Fan;Wang Jiqiang;Su Jingbin;Song Feng(Shandong Huadian Laizhou Power Generation Co., Ltd., Laizhou 261441, China;Huadian International Technical Services Branch, Jinan 250000, China;Sinosoft Company Limited, Beijing 100080, China)
出处
《无线互联科技》
2019年第18期103-104,共2页
Wireless Internet Technology
关键词
长短期记忆网络
超超临界机组
高温再热器
壁温预测
long-term memory network
ultra-supercritical unit
high-temperature reheater
wall temperature prediction
