Working fluid level prediction-based optimization method for stroke frequency of submersible reciprocating oil pumping unit

The invention relates to a stroke frequency method of a submersible reciprocating oil pumping unit, more particularly to a working fluid level prediction-based optimization method for a stroke frequency of a submersible reciprocating oil pumping unit. Therefore, problems that there is no reasonable stroke frequency optimization control method for a submersible reciprocating oil pumping unit and alinear motor can not be adjusted according to an oil well state can be solved. The method comprises the following steps that: step one, normalization processing is carried out on a working fluid level time sequence; step two, a sample space of the working fluid level time sequence that has been processed by the normalization processing is reconstructed; step three, working fluid level prediction model supporting a vector machine is established and regression prediction on the working fluid level time sequence is carried out; step four, an economic target function of stroke frequency optimization is determined; step five, a stroke frequency optimization model is determined; step six, with utilization of the stroke frequency optimization model obtained in the step five, an optimization method for the stroke frequency is obtained by employing section division and time interval division methods. According to the invention, the method is applied to an oil well of a submersible reciprocating oil pumping unit.