Our company has successfully developed the "VDS1.0 Control Valve Performance and Fault Intelligent Diagnosis System" and recently launched a molded product.

Ten years to sharpen a sword. Our company proposed a design scheme for the performance and fault diagnosis system of pneumatic control valves as early as 1998; In recent years, we have obtained more than ten invention patents, utility model patents, and computer software copyrights, including "Valve Positioner with Memory Function and Valve Fault Self Diagnosis Method", "Intelligent Fault Diagnosis Pneumatic Executive Mechanism", and "Pneumatic Control Valve Fault Diagnosis System V1.0"; The "VDS1.0 Control Valve Performance and Fault Intelligent Diagnosis System" product has been in practical use for over a year, collecting testing data from more than 10000 pneumatic control valves of various models. Having accumulated a wealth of experience, it has now been launched with great fanfare.

The VDS1.0 Control Valve Performance and Fault Intelligent Diagnosis System collects real-time input current signals, gas source pressure, membrane chamber pressure of the actuator, valve dynamic displacement signals, and operating time constants of the control valve through multiple sensors in the system. By analyzing all the data collected earlier, analyzing any minor changes in the regulating valve and the logical relationships between these data changes, intelligent analysis and judgment are carried out to determine the performance and fault conditions of the regulating valve.

This system is a convenient, effective, and accurate diagnostic tool for regulating valve performance and faults, suitable for all brands and models of regulating valves, without the need to move or disassemble the regulating valve. Suitable for testing of regulating valves before leaving the factory and before use, suitable for testing the periodic performance of regulating valves during long-term use, establishing benchmark performance of regulating valves, analyzing the changes of regulating valves after each use cycle online, mastering various performance parameters of regulating valves and predicting faults in advance, reducing the frequency of predictive maintenance, achieving expected maintenance of regulating valves, and ensuring the safety of regulating valve online pipeline operation systems.