模具預熱爐 的英文怎麼說
中文拼音 [mójùyùrèlú]
模具預熱爐
英文
die preheating furnace-
The article takes a 600mw natural cycle drum boiler ( soot blow using steam ) as investigating object, establishes soot accumulation loss and soot blowing energy loss models for its water cooling wall, superheater, economizer and air preheater respectively, set up instructions for soot blower operating. simulating calculation results are compared with site data to verify usefulness of key models. the article introduced the operation optimizing design of soot blowers of yanzhou no2 power plant based on theoretical research
本文以600mw汽包自然循環鍋爐（蒸汽吹灰）為具體分析對象，分別建立其水冷壁、過熱器、省煤器、空預器的積灰損失和各受熱面吹灰能量損失的模型，建立相應的吹灰器運行規則指導，對設計中的關鍵模型問題，通過模擬計算及與現場數據作比較的方法，驗證其可用程度。There are many plants that have the character of time - varying, large delay, large inertia in the process of production of modern power station such as the superheated steam temperature, the reheated steam temperature, the water treatment of boiler and the load regulation. some of them have the strong character of nonlinear and some of them are multivariable coupling systems it is very difficult to obtain good effect of control by conventional pid control. it is necessary to set up the mathematics models of controlled plants if applying control means of modern control theory such as self - adaptive control, optimal control ， decoupling control and predictive control. and these control systems have large calculation and bad character of real time in general. these disadvantages make them be not able to meet the need of real production process and limit the application of them in modern power station. now the generator units are developing towards large capacity and high parameters. many new kinds of generating electricity means are coming into being. the characers of production units of power station become more and more complex but the demand to quality of control becomes more and more strict. the new control means are in bad need to control them effectively
現代電站的生產過程中存在過熱汽溫、再熱汽溫、鍋爐水處理、負荷調節等許多大遲延、大滯后、特性時變的對象，它們中有些還是具有強非線性特性的對象或多變量耦合系統，採用常規的pid控制手段很難取得良好的控制效果。若應用現代控制理論中的自適應控制、最優控制、解耦控制、預測控制等控制手段，則需要建立被控對象的數學模型，而且往往控制系統的計算量大、實時性差。這些缺點使其很難滿足實際生產過程的需要從而極大地限制了其在現代電站中的應用。
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