Abstract
In view of the problems that the load cell used to test the indicator diagram in the pumping unit is easy to drift in the long term and needs manual regular maintenance, a new method is proposed to demonstrate the indicator diagram of the electrical parameters in the pumping unit well. By combining neural network and big data analysis technology, BP neural network model is established to carry out learning、training and simulation analysis on the historical data of pumping unit, to find the corresponding relationship between electrical parameters and indicator diagram, and to realize the direct conversion of indicator diagram using electrical parameters. After145 field tests, the accuracy of electrical parameter inversion diagram based on neural network reaches 93.2%. This method has the advantages of low model complexity, fast operation speed and high accuracy, which provides a new way to obtain the indicator diagram of pumping unit well, and has great significance for the digital construction of pumping unit well.