- 作者: Chen, Cheng-Liang; Chao, Yung-Cheng; Huang, Hsiao-Pinget al.
- 中文摘要: 高爐是一個極為複雜的化學反應器, 在鋼鐵廠中司熔煉礦石供應鐵水之重責。本操作專家系統旨在協助高爐操作人員維持高效能(高產量、低燃料率等)之爐操。此系統整合了高爐資深操作人員的現場正常操作與異常狀況處理經驗, 及高爐研究人員的多項有關爐況判斷與預測的數學模式(如高爐動態模式、焦炭率供需模式), 可以根據有限的測量數據(如鐵水溫度、爐頂氣組成等), 迅速判斷高爐內部狀況, 並提出可行的操作建議(如調濕送風、粉煤添加量等)。另外, 由於人類專家的判斷方式, 通常屬於定性敘述, 具有相當的主觀意識及不確定性, 因此本專家系統也嘗試應用模糊集合理論作爐熱整合判斷。此操作專家系統的判斷及建議方式將因此而更接近人類專家的行為, 預期將因此較易為現場操作工程師所接受。
- 英文摘要: This article aims at building a real-time expert system for supporting stable and efficient ironmaking blast-furnace operations, i.e., for producing high quality and quantity pig iron with low energy cost. The knowledge base of this supporting expert system consists of experiential operating heuristics of operators and some theoretical models which include a stochastic time-series model and a coke-reduction model for predictions of hot metal temperatures and furnace heat levels, respectively. The concepts of fuzzy sets are also used supplementarily to deal with unavoidable uncertainties inherent in experiential knowledge and the commonly used linguistic descriptions about furnace heat levels. The system is composed of two parts: an abnormal conditions diagnosis system and a heat level control system. Based on sensored furnace information, the system can afford adequate judgements of furnace conditions, heat level and its possible trend and then respond with suggested operational actions for every 30 minutes. This blast-furnace supporting expert system is currently under testing in China Steel Company. The results of plant tests show that the system can eliminate possible human errors and can enhance the performance of furnace operations.
- 中文關鍵字: 專家系統; 鼓風爐; 模糊理論; 熱階控制
- 英文關鍵字: Expert System; Blast Furnace; Fuzzy Sets; Heat-Level Control