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COMPUTER-IMPLEMENTED METHOD FOR DETERMINING AN OPERATING PROPERTY OF A PUMPJACK, ANALYSIS DEVICE AND PUMP SYSTEM THEREFOR

机译:确定千斤顶工作特性的计算机实现方法、分析装置及其泵系统

摘要

A computer-implemented method for determining an operating property of a pumpjack (1), wherein the pump (1) has a pump head (110, 111) that is connected to a kinematic converter (120) via a rod (5, 10), and the kinematic converter (120) is driven during operation by a motor (3), and a load-travel characteristic curve with curve points for the pump (1) is ascertained by an analysis device (140) using an acquisition means (130) and is provided in the form of an operating load-travel characteristic curve (DC1-DC5) with operating curve points, wherein the analysis device (140), in a training mode, provides at least one model load-travel characteristic curve with respective model curve points that is normalized to a predefined reference variable, and at least two subsets of the model curve points are acquired as a first and at least one second feature on the basis of machine learning, and the first and the at least one second feature are generated and trained with a k-means algorithm in the form of at least one random forest model and, in an operating mode, the operating curve points are normalized to the reference variable and a check is performed as to whether there is similarity between at least one subset of the operating curve points and the at least one random forest model, and if so, the operating property of the pump (1) is determined therefrom.
机译:一种用于确定泵千斤顶(1)工作特性的计算机实现方法,其中泵(1)具有泵头(110、111),泵头(110、111)通过杆(5、10)连接到运动转换器(120),运动转换器(120)在操作期间由电机(3)驱动,泵(1)的带曲线点的负载行程特性曲线由分析装置(140)使用采集装置(130)确定,并以带工作曲线点的工作负载行程特性曲线(DC1-DC5)的形式提供,其中分析装置(140)处于训练模式,提供至少一条模型载荷行程特性曲线,该曲线具有标准化为预定义参考变量的各个模型曲线点,并且基于机器学习获取模型曲线点的至少两个子集作为第一和至少一个第二特征,以及以至少一个随机森林模型的形式,使用k-均值算法生成和训练第一和至少一个第二特征,并且在操作模式下,将工作曲线点标准化为参考变量,并检查工作曲线点的至少一个子集与至少一个随机森林模型之间是否存在相似性,如果存在,则由此确定泵(1)的工作特性。

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