专利详细信息

基于多目标决策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：CN201510108748.8

申请日：20150312

发明人：辜小花李太福裴仰军曹旭鹏王坎高论任晓超贲福才

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：20150603

公开号：CN104680023A

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多目标决策的抽油机参数优化方法，包括：1)确定抽油机的生产效率影响因素和性能变量、2)获得其样本数据、3)对载荷数据降维、4)由非载荷变量与载荷新主元构建网络输入变量集、5)构建输入变量的样本值、6)归一化处理、7)选取训练和测试样本、8)构建广义回归神经网络并训练、9)构造产液量偏好函数、10)构建评价决策变量个体支配关系的适应度函数、11)计算系统环境变量的平均值、12)利用决策变量构建初始种群并生成精英解种群、13)进行遗传迭代计算，得到第二代精英种群和父代种群、14)迭代循环，最终得到优化后的生产效率影响因素值。优化后，可保证在产液量基本固定的情况下耗电量最小。

主权项：1.一种基于多目标决策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，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> </p><p class='subject'><strong>关键词：</strong>种群决策变量效率影响 <b class='type_ico_id'></b>抽油机液量 <b class='type_ico_id'></b>参数优化方法 <b class='type_ico_id'></b>回归神经网络计算系统环境精英 <b class='type_ico_id'></b>适应度函数测试样本 <b class='type_ico_id'></b>初始种群迭代计算目标决策偏好函数性能变量样本数据载荷数据耗电量归一化样本值因素值训练优化固定评价网络 </p><p class='class'><strong>IPC专利分类号：</strong>G06F19/00(20110101)</p>
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