燒結帶火焰溫度檢測是工業回轉窯控制的關鍵和難點, 基于圖像處理的溫度檢測又容易受到現場粉塵和煙霧的干擾。據此提出一種利用模糊技術進行多傳感器數據融合的溫度趨勢判別方法, 并結合現場實際歸納了進行融合的數據種類, 建立了實時專家系統控制策略。工業實踐表明, 該方法魯棒性強、準確率高, 具有很強的實用性。
關鍵詞: 工業回轉窯; 多傳感器數據融合; 模糊判別; 實時專家控制器
Abstract: The t radit ional alum inum sinter p rocess based on ro tary k iln is difficult to cont ro l because the sintering temperature measurement is easily to be disturbed by the dust and smog in the sintering zone and evil environment. Some senso r data types fo r the fusion are draw n w ith the p ract ical experience. A fuzzy fusion algo rithm based on the data is p ropo sed to judge the t rend of ro tary k iln′s inner sintering temperature. Real t ime expert cont ro l system is int roduced w ith the fuzzy fusion algo rithm. The app licat ion result show s that the cont ro l system w ith th is method can ach ieve h igher robust and bet ter ut ility.
Key words: indust ry ro tary k iln; mult isenso r data fusion; fuzzy judgement; real t ime expert cont ro ller