糊化鍋 的英文怎麼說

中文拼音 [húhuàguō]
糊化鍋 英文
mash copper
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 鍋 : 名詞1. （炊事用具） pan; pot 2. （裝液體加熱用的器具） boiler; cauldron3. （某些器物上像鍋的部分） bowl （of a pipe, etc. ）
  1. Aiming at such problems in combustion system of homemade middle and miniature boiler, as a complex system with the character of dead zone, time variation, serious non - linearity, large time delay, coupling and a lot of disturbance, this paper presents a new set of optimal control resources. by using well - matched control method on system, stable automatic running is realized. having the serious divulgence coals difference a lot from each other in character, instability of chemistry, value of lowest emission of heat, home - made boiler controller is not at all ideal. instead of traditional model that controls the ratio based on proportional control or with the correct signal of the amount of oxygen, this paper, combined with intellect control theory - - fuzzy control and self - optimizing concept, propounded a kind of fuzzy self - optimizing controller to be used in air supplying system of the boiler, and expatiates on the idea of dividing the control process into two parts, dynamic and static to realize, thus meets the demand of homemade boiler economic running

    本設計針對國產中、小型電站鍋爐燃燒系統參數時變、嚴重非線性、干擾因素復雜、耦合嚴重、模型不易確定的特點，提出多變量協調控制方案，解決了系統可控性差，難以實現穩定自動運行的問題；在此基礎上，改變以往以煙氣含氧量控制送風的傳統模式，針對國產電站鍋爐設備主體及一、二次送風迴路泄露嚴重，煤種混雜、成分不穩定、燃燒發熱值低、燃燒效率不高等問題，應用智能控制理論中的模糊控制技術，結合自尋最優控制的思想，設計了一種模糊自尋優控制器，應用在電站鍋爐送風控制系統上，並闡述了動靜態兩種實現途徑，通過在線優化風煤配比，實現最佳經濟燃燒，切實保障了鍋爐的經濟運行。
  2. The suggested control scheme fulfills automatic full range feedwater control by changing the structure and parameter of control system according to different stages of load, making full use of intelligent fuzzy logic function on conditons of remaining process system

    充分利用模糊智能控制系統的功能，在不改變工藝系統的情況下，從控制策略著手，隨工況的變化改變控制系統的參數，在鍋爐點火、升壓、並網、升負荷、降負荷全過程實現自動控制。
  3. The stress is basing coal - fired boiler inflammation system feature and control demand to design a kind of fuzzy - pi controller on based of genetic algorithm to control it. the controller refers the error and its variety rate as its inputs. and, in order to make the control qualities much better, concerns them as the performance index to optimize the membership function of the fuzzy variables and the pi ' s controller parameter by means of online adjujsting the genetic algorithm, inflammation system steam pressure loop and economic inflammation loop

    重點是針對燃煤鍋爐燃燒系統的特點和控制要求，設計了一種基於遺傳演算法的模糊- pi復合控制器對其進行控制，該控制器以偏差、偏差變化率作為輸入量，通過遺傳演算法在線調整模糊控制器的模糊變量隸屬度函數和pi控制器的參數，從而達到優化模糊控制規則和pi控制器參數的目的，實現燃燒系統的蒸汽壓力迴路和經濟燃燒迴路的控制要求。
  4. Then a combustion evolution optimizing system based on the radiant energy measuring was built, economical boiler combustion adjustment was carried out, under the combined action of a controller based on fuzzy self - optimizing of fume

    在此基礎上，建立了基於輻射能檢測的燃燒進化優化系統，通過煙氣含氧量與爐膛總輻射能的模糊自尋優控制器和風煤比進化優化器組成的燃燒優化迴路的共同作用，對鍋爐進行燃燒經濟性調節，達到燃燒優化控制的目的。
  5. Based on simulation, 2 - dimension fuzzy control system was researched, which was used to control two correlative variables of circulating fluidized bed boiler " s combustion control system

    本論文在模擬的基礎上，研究用二維模糊控制實現流化床鍋爐燃料量控制系統的兩關聯變量的控制。
  6. However, cfb technology itself is developing fast, and the combustion process of cfb is highly non - linear, with high uncertainty, large time delay and high multi - variable coupling, making the process complicated. so far, the research on the combustion mechanism and its fuzziness is immature, therefore, there is no good model for real - time control of the process

    但是，迄今為止循環流化床鍋爐仍然是一種工藝上不斷改進的新型鍋爐，它的燃燒過程具有高度的非線性、不確定性、時變和大滯后，及多變量耦合嚴重等復雜特性，尤其是目前對其燃燒機理和模糊化的研究不太成熟，還沒有能用於實時控制的完善的模型。
  7. For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively

    本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。
  8. The software of diagnosis and prediction for boiler fault is developed by using fuzzy modular networks and recurrent composed networks, and the method of mixed knowledge representation and expert system technology etc are used in this paper

    本文應用模糊模塊化神經網路和遞推合成bp網路，並結合混合型知識表示和知識獲取方法、基於知識的專家系統等技術對鍋爐故障診斷與預測問題進行了研究，開發了鍋爐故障診斷與預測軟體。
  9. The simulation tests result indicates that the speed and precision of sample training are increased because of sample clustering for fuzzy modular networks. and the problem of slow training speed and local minimum point are avoided when bp networks are applied in the fault diagnosis of complex boiler

    本文所建的用於鍋爐故障診斷的模糊模塊化神經網路模型因進行了樣本聚類，實驗結果表明：其網路訓練的速度和精度明顯提高，同時有效地解決了bp網路應用於復雜的鍋爐系統故障診斷時，存在訓練收斂慢並容易陷入局部最小點的問題。
  10. The software has been used to do numerical calculation for many boilers ; quantitative analysis on the temperature deviation around the exit of furnace of tangentially - fired boilers is also conducted ; so is the research on distribution of slagging on the heated surface, which provides the theoretical basis for boiler design, optimal operation, renovation planning etc. the paper analyzes the mechanism of slagging in the coal - fired combustion process ; it creates the mathematical modeling of fuzzy comprehensive judgment of slagging by utilizing the theory of fuzzy mathematics

    用此軟體已對多臺鍋爐進行了燃燒模擬計算；定量分析了四角切圓燃燒鍋爐爐膛出口左右偏差問題；研究了受熱面結渣的分佈情況，為鍋爐的設計、運行優化、改造方案確定等提供理論依據。本文分析了煤粉燃燒過程中灰渣沉積的機理，利用模糊數學的理論建立了結渣的模糊綜合評判的數學模型。
  11. It has been proved by practice that an fuzzy control system based neural network have better flexibility 、 self adaptability and expandability. the fuzzy controlling system can satisfied the automatic controlling of electric heated boiler heating system. dai qing xin ( computer applied technology ) directed by associate prof. huang zhi qiang

    應用實踐表明基於神經網路實現的模糊控制系統具有很強的靈活性、自適應性和可擴展性，可以滿足不同地區、不同氣候條件下對電熱鍋爐採暖系統自動化控制的需要。
  12. Application of fuzzy neural network in fluidized - bed boiler

    模糊神經網路技術在流化床鍋爐中的應用
分享友人
分享到 Line

分享到臉書