Control valve opening degree prediction model training prediction method, device, equipment and system

• Main Authors: HAN ZIFU, CHENG WENJIA, LI YUE, CHU JIANGUO, BIAN JIE, SONG LIHUI, LIANG YUESONG, DONG SHEXIA, LI QIANG
• Format: Patent
• Language: Chinese; English
• Published: 06.09.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the technical field of oil and gas exploitation, in particular to a control valve opening degree prediction model training prediction method, device, equipment and system.The control valve opening degree prediction model training method comprises the steps that a sample sound wave signal marked with a control valve opening degree label is obtained, and the sample sound wave signal is a sound wave signal generated when fluid flows through a control valve; extracting the sample energy entropy, the sample signal average amplitude, the sample short-time energy, the sample short-time energy autocorrelation coefficient, the sample zero-crossing rate, the sample spectrum flow and the sample spectrum rolling edge of the sample sound wave signal; and inputting a feature matrix formed by the sample energy entropy, the sample signal average amplitude, the sample short-time energy, the sample short-time energy autocorrelation coefficient, the sample zero-crossing rate, the sample spectrum flow an