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APPRATUS AND METHOD FOR FLOW ESTIMATION USING NEURAL NETWORK AND GENETIC ALGORITHM

机译:利用神经网络和遗传算法进行流量估计的装置和方法

摘要

An apparatus and method for estimating a pump flow rate by a neural network and a genetic algorithm are disclosed. A pressure measurement module for measuring the outlet pressure of each of the plurality of pumps connected to the main pipe, a power measurement module for measuring the electric power of the motor driving the pump, the pump model for each of the pumps modeled by the neural network, A flow rate prediction module for predicting the flow rate of the pump using pressure information measured in the flow rate measurement module and the power information measured in the power measurement module, a flow rate measurement module for measuring the flow rate of the flow rate of the main flow channel, And a flow improvement module for comparing the flow rate of the pump and the flow rate of the pump predicted by the flow rate prediction module and improving the flow rate of the pump predicted by the flow rate prediction module by a genetic algorithm. It is possible to predict the flow rate of each pump in a pump system that is operated in parallel by a plurality of pumps connected to the main pipe. By predicting the efficiency of the pump by predicting the flow rate of each pump, .;Pump, Flow Prediction, Curve, Neural Network, Genetic Algorithm
机译:公开了一种用于通过神经网络和遗传算法来估计泵流量的装置和方法。压力测量模块,用于测量连接到主管的多个泵中的每个泵的出口压力,功率测量模块,用于测量驱动泵的电动机的电力,每个泵的泵模型由神经元建模网络,用于使用在流量测量模块中测量的压力信息和在功率测量模块中测量的功率信息来预测泵的流量的流量预测模块,用于测量流量的流量的流量测量模块流量改善模块,用于将泵的流量与流量预测模块预测的泵流量进行比较,并通过流量预测模块预测的流量来提高泵的流量。遗传算法。可以预测由连接到主管的多个泵并联运行的泵系统中每个泵的流量。通过预测每个泵的流量来预测泵的效率,泵,流量预测,曲线,神经网络,遗传算法

著录项

  • 公开/公告号KR101664823B1

    专利类型

  • 公开/公告日2016-10-13

    原文格式PDF

  • 申请/专利权人 재단법인 포항산업과학연구원;

    申请/专利号KR20080130022

  • 发明设计人 이진희;

    申请日2008-12-19

  • 分类号G05D7;

  • 国家 KR

  • 入库时间 2022-08-21 14:11:50

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