基于光电像素识别的慢冲次位移测试方法

Slow-stroke displacement test method based on photoelectric pixel recognition

抽油机低速运行时悬点位移变化缓慢,增加了位移测试过程中计算位移量和辨别位移方向的难度,导致拉线位移和加速度位移数据错误率上升。为摆脱悬点运行速度影响,实现快速、准确、便捷的慢冲次位移测试,设计了基于光电像素识别的慢冲次位移测试方法。以光电鼠标芯片系统作为探头,通过对光杆进行照射并采样分析,借助鼠标芯片的高分辨率和快速扫描功能,将针对位移大小的模拟量检测转化为针对位移有无的状态量检测和微量位移的数字化累计,得到与悬点一致的位移信息。应用该方法对慢冲次抽油机井进行了试验测试,获取了符合工程要求的位移数据曲线。验证了光电像素识别定位技术应用于抽油机光杆位移测试的可行性及其不受抽油机运行速度影响、便于数据处理使用、数据精确等技术特性。

When the pumping unit runs at low speed, the displacement of the suspension point changes slowly, which increases the difficulty in calculating the displacement amount and identifying the displacement direction during the displacement test process,resulting in an increase in the error rate of cable displacement and acceleration displacement data. In order to get rid of the influence of the running speed of the suspension point and realize fast, accurate and convenient slow-stroke displacement test, a slow-stroke displacement test method based on photoelectric pixel recognition was designed. Using the photoelectric mouse chip system as the probe, by irradiating, sampling, and analyzing the polished rod, with the help of the high resolution and fast scanning function of the mouse chip, the analog quantity detection for displacement was converted into the state quantity detection and the digital accumulation of trace displacement for the presence or absence of displacement, obtaining the displacement information consistent with the suspension point. The slow-stroke pumping unit well was tested with this method, and the displacement data that meets the engineering requirements were obtained. The field test has proved that it is feasible to apply the photoelectric pixel recognition and positioning technology to the displacement test of the polished rod of the pumping unit, which verifies that this technology is not affected by the operating speed of the pumping unit, is easy to process and use data, and produces accurate data.