Abstract: Oil and gas recovery is the driving force for resource recycling, environmental protection, and sustainable development, and it is also a necessity for global governance and social development. Volatile oil and gas are constantly generated during the extraction, transportation, and use of fossil fuels, and equipment for collecting and processing these gases involves vacuum pumps, compressors, and so on. The pumping speed and vacuum degree are the most important and interrelated parameters of vacuum compressors, and different types of vacuum pumps have different theories, methods, and specifications for measuring gas volume. The constant pressure method and constant mass flow rate are the most commonly used methods. Traditional measurement methods use manual control of measuring elements to obtain raw parameters, and then calculate the flow rate (pumping speed) and corresponding pressure (vacuum degree) of vacuum pumps and compressors by fitting standard and normative formulas. However, most of these testing methods use mercury and oil columns to indicate pressure and differential pressure values, which may cause pollution and human damage. They do not comply with the provisions of the Minamata Convention on Mercury and cannot achieve intelligent testing. Based on the principle of gas volume measurement, we have researched and implemented automated data collection and calculation to measure, record, and organize the main parameters, such as gas volume and pressure of vacuum pumps. Through database establishment and comparison, we have made conformity and grade judgments on the measured objects. This testing system is promoted to engineering, and real-time analysis, debugging and remote control channels are established with designers, customers, etc., through modern network technology to achieve digital automatic operation of oil and gas recovery and transportation equipment subsystem modules.