基于BP神经网络的顺序输送混油界面跟踪

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Abstract：Toaddressthechalengeofmixedoilinterfacetrackinginlong-distanceoilpipelies，amixedoilinterface trackingsheme basedoback propagation （BP）neural network wasproposed.Aneficientandaccurate mixedoilinterface tracking model was constructedandtrainedwithhistoricaldata.Itsstructureand parameters wereoptimized.Itsabilitytolearnandmapthecomplex nonlinearrelationshipsofthemixedoil interfacewasenhanced.Themodelwasvalidatedwithadomesticoil pipelineasanxample. Theresultsshowthatthedevelopedmodelefectivelypredictsthearrvaltime，position，andlengthofthemixedoilinterface， significantly superior in tracking accuracy and adaptability to different operating conditions.

Keywords：mixed oil interface; BP neural network; length of mixed oil; arrival time; interface tracking

在油品输送过程中，为了充分发挥管道的输送能力，提高管道利用率，降低输送成本，同时满足用户对多种能源产品的需求，常采用顺序输送的方式，即在同一条管道内按照一定顺序和批次依次输送多种不同类型的油品[。（剩余5523字）