漏鋼預(yù)報(bào)是冶金連鑄生產(chǎn)過程中的關(guān)鍵環(huán)節(jié)，需要非常可靠的安全性。提出的二值數(shù)據(jù)窗前置處理法，不但實(shí)現(xiàn)了數(shù)據(jù)的歸一化，而且利用數(shù)據(jù)窗技術(shù)只需截取發(fā)生漏鋼時(shí)溫度變化異常的8 個(gè)采樣點(diǎn)，這樣大大減少了網(wǎng)絡(luò)的輸入個(gè)數(shù)，提高了網(wǎng)絡(luò)運(yùn)算速
度。實(shí)際應(yīng)用表明，該系統(tǒng)可直接用于生產(chǎn)現(xiàn)場(chǎng)，具有預(yù)報(bào)速度快、精度高、魯棒性能好等優(yōu)點(diǎn)，有著廣泛的應(yīng)用前景。
關(guān)鍵詞：連鑄 漏鋼預(yù)報(bào) 二值數(shù)據(jù)窗
Abstract：Being one of key sections of continuous casting process，breakout prediction requires safety with excellent reliability. A binary data window preprocessing technique is proposed. It not only implements data normalization，but also employs the data window technique to acquire eight sampling points where an abnormal temperature change occurs when breakout takes place，thus reducing the number of network input and increasing network operation speed. Practical applications show that this system features fast prediction speed，high accuracy，excellent robustness when directly used in the production field，and has a wide range of applications in future.
Keywords：Continuous casting Breakout prediction Binary data window