专利详细信息

基于功图主元分析的抽油机参数优化方法

文献类型：专利

专利类型：发明专利

是否失效：否

是否授权：否

申请号：CN201510111157.6

申请日：20150313

发明人：裴仰军王坎李太福辜小花周伟曹旭鹏胥毅任晓超

申请人：重庆科技学院

申请人地址：401331 重庆市沙坪坝区虎溪大学城重庆科技学院

公开日：20151111

公开号：CN105046326A

代理人：王玉芝;姜萤

代理机构：11327 北京鸿元知识产权代理有限公司

语　　种：中文

摘　　要：本发明提供一种基于功图主元分析的抽油机参数优化方法，包括：1)确定抽油机的效率影响因素和性能变量、2)获得其样本数据、3)对载荷数据进行降维、4)由非载荷变量与载荷新主元构建网络输入变量、5)构建输入变量的样本值、6)归一化处理、7)构建前馈神经网络、8)利用无迹卡尔曼滤波对网络进行训练、9)构造父代和子代种群；10)对父代个体作遗传变异计算，以产生子代个体；11)对父代和子代个体求适应度函数；12)将父代和子代个体划分到层级不同的非支配集中；13)从这些非支配集中选择个体构成新的父代种群，循环10)-13)多次，得到优化后的效率影响因素值。优化后，可得到产液量最大时，耗电量最小。

主权项：1.一种基于功图主元分析的抽油机参数优化方法，包括如下步骤：1)确定抽油机采油过程生产效率影响因素构成效率观测变量集合其中α₁，α₂为决策变量，α₃～α₁₄₆载荷数据环境变量，α₁₄₇～α_M为其他环境变量，选取抽油机系统的性能变量构成性能观测变量集合：{y₁,y₂,y₃,…y_l}；2)获得所述生产效率影响因素和系统性能变量的样本数据，得到效率影响因素样本矩阵α和性能样本矩阵Y： $<math> <mrow> <mi>α</mi> <mo>=</mo> <mfenced open='[' close=']'> <mtable> <mtr> <mtd> <msub> <mi>α</mi> <mn>11</mn> </msub> </mtd> <mtd> <msub> <mi>α</mi> <mn>12</mn> </msub> </mtd> <mtd> <mo>.</mo> <mo>.</mo> <mo>.</mo> </mtd> <mtd> <msub> <mi>α</mi> <mrow> <mn>1</mn> <mi>N</mi> </mrow> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>α</mi> <mn>21</mn> </msub> </mtd> <mtd> <msub> <mi>α</mi> <mn>22</mn> </msub> </mtd> <mtd> <mo>.</mo> <mo>.</mo> <mo>.</mo> </mtd> <mtd> <msub> <mi>α</mi> <mrow> <mn>2</mn> <mi>N</mi> </mrow> </msub> </mtd> </mt</p><p class='subject'><strong>关键词：</strong>父代子代个体输入变量影响因素 <b class='type_ico_id'></b>抽油机构建无迹卡尔曼滤波 <b class='type_ico_id'></b>前馈神经网络归一化处理适应度函数参数优化父代个体 <b class='type_ico_id'></b>构建网络集中选择性能变量样本数据遗传变异载荷数据 <b class='type_ico_id'></b>主元分析子代种群支配对网络耗电量样本值层级 <b class='type_ico_id'></b>产液功图降维一种 <b class='type_ico_id'></b>主元最小优化种群划分计算构成训练进行确定产生集中 </p><p class='class'><strong>IPC专利分类号：</strong>G06N3/08(20060101)</p>
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