【摘要】：復(fù)雜工業(yè)生產(chǎn)中,為獲得優(yōu)質(zhì)產(chǎn)品和更高經(jīng)濟效益,需保證生產(chǎn)過程運行于"正常"且"優(yōu)"的狀態(tài).針對定量信息與定性信息同時存在的生產(chǎn)過程,提出一種基于改進的動態(tài)因果圖(dynamic causality diagram,DCD)的過程運行狀態(tài)評價方法.該方法以因果圖理論為基礎(chǔ),擴充了定量分析和定性分析結(jié)合描述的動態(tài)因果圖;針對復(fù)雜工業(yè)生產(chǎn)過程中存在多個相互關(guān)聯(lián)的事件聯(lián)合作用導(dǎo)致一個事件發(fā)生的特點,提出用聯(lián)合因果強度來描述事件間關(guān)系的方法.最后以金濕法冶金氰化浸出過程為應(yīng)用背景,分別利用傳統(tǒng)DCD與改進DCD兩種方法建立評價模型,對比分析評價結(jié)果,驗證了文中提出方法的有效性和先進性.
[Abstract]:In complex industrial production, in order to obtain high quality products and higher economic benefits, it is necessary to ensure that the production process runs in a "normal" and "excellent" state. Aiming at the production process where quantitative information and qualitative information exist at the same time, a process running state evaluation method based on improved dynamic causality diagram (dynamic causality diagram,DCD) is proposed. Based on the causality graph theory, this method extends the dynamic causality diagram described by quantitative analysis and qualitative analysis, and proposes a method to describe the relationship between events by using the joint causality intensity to describe the relationship between events in view of the characteristics of one event caused by the combined action of several interrelated events in the complex industrial production process. Finally, taking the cyanide leaching process of gold hydrometallurgy as the application background, the evaluation models are established by using the traditional DCD method and the improved DCD method, respectively. The evaluation results are compared and analyzed, and the effectiveness and advanced nature of the proposed method are verified.
【作者單位】： 東北大學(xué)信息科學(xué)與工程學(xué)院;東北大學(xué)流程工業(yè)綜合自動化國家重點實驗室;
【基金】：國家自然科學(xué)基金項目(61533007,61374146)資助~~
【分類號】：TB497

【相似文獻】

相關(guān)期刊論文 前2條

1 吳茵;因果圖在液壓傳動系統(tǒng)故障診斷中的應(yīng)用[J];湖南輕工業(yè)高等�？茖W(xué)校學(xué)報;2001年01期

2 ;[J];;年期

，

本文編號：2503242