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Study On The Boiler Economic Operation And Guidance System

Posted on:2015-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y D LiuFull Text:PDF
GTID:2272330434957450Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
It is very important to realize the optimization operation of the thermal power unit, whichcould decrease the energy cost and increase the utilization coefficient of energy in our country.Economy analysis to the running situation of the boiler is favorable to achieving the safety,reliability, economy operation of power unit. The complicated problems which usually aredifficult could be solved by neural network and expert system technology. With the buildingof expert system based on economy analysis, the safty and reliability of boil system operationcould be realized.In this paper, with the studies of present condition of boiler operation, management andthe problems, the research work was mainly focused on the following two aspects: Firstly,neural networks had been used to build the boiler efficiency monitor model, the input of themodel was the factor which affect the boiler efficiency and the output was boiler efficiency,data collected from the field have been used to train the model parameter. This model wasdifferent form the normal direct-method&indirect-method of heat balance, and the value ofboil efficiency could be attained without collecting a lot of boiler running parameters,Secondly, an expert system was established, which could analyze deviation reasons of themain parameters of the boiler such as the temperature of the exhaust flue gas, main steam,reheat steam. Fuzzy was adopted to neural network in this expert system. The knowledge baseis constructed with producing rules and neural network, the inference engine is composed ofneural network inference and expert rules, the inference engine is forward reasoning. Theparameters in the neural network were trained by three compute methods and the suitablenetwork train method was attained by contrasting the results. The reason of the higher of theexhaust flue gas and main steam temperature, the lower of reheat steam temperature could beaccurately analyzed through the test.The boiler economic operation expert system wasdeveloped with the Borland language and Matlab. Delphi has a good human-machineoperation interface and good expansion, and Matlab has advanced compute ability.
Keywords/Search Tags:Boiler, Economic operation, Neural network, Expert system
PDF Full Text Request
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