By using artificial intelligence models for interval pumping, the system analyzes oil production and liquid yield, compares the dynamic liquid level, submersion depth, and tiered electricity prices, controls the start and stop of the pump, and utilizes peak load shifting for electricity consumption in order to protect the safe operation of the pump, reduce production costs (electricity expenses), and extend the equipment lifespan.

The system has developed intelligent optimization control technology based on comprehensive diagnosis of oil well production parameters, integrating online testing with dynamometer data acquisition, communication for rod pump well diagnostics, and rod pump well gas lift control.

In the later stage of oil well development, for low-yield wells, this system adjusts working parameters based on the analysis and diagnosis of well conditions to maximize reservoir potential, address production contradictions, extend pump inspection cycles, and save energy. The system can automatically collect and transmit real-time dynamic data of oil well production remotely, even when unmanned, to monitor changes in well condition parameters. By analyzing the data, calculating the dynamic liquid level, collecting dynamometer data online, and conducting comprehensive diagnosis of well conditions, optimal operating parameters are determined to achieve variable frequency speed regulation, reduce production energy consumption, and other objectives.

• Reduce energy consumption without sacrificing of production .

• Protect the safe production of the oil pump, increase the service life of a single unit pump up to 20% - 40%.