To enhance the real-time monitoring capabilities of oilfield submergence, ensure operational safety, and optimize oil well production efficiency, this paper designs and implements a dynamic fluid level measurement and control software using the Python programming language and the acoustic wave method. The developed software enables real-time monitoring and processing of critical information from multiple oil wells, including dynamic fluid level depth, echo propagation time, and operating voltage. Furthermore, the system supports data access via mobile terminals, allowing for ubiquitous monitoring of well conditions and timely detection of operational anomalies. Experimental results demonstrate that the software accurately acquires downhole fluid level data, with the absolute error controlled within 1.0 meter and the average relative error as low as 0.1%. The Python-based measurement and control software significantly improves the real-time performance, accuracy, and convenience of monitoring, providing robust technical support for the safe and efficient development of oilfields.