The atmospheric storage tank breathing valve relies too much on manual experience and simple monitoring methods in monitoring and fault diagnosis, and cannot provide high-precision fault diagnosis and prediction. Therefore, this article introduces a monitoring and fault diagnosis system for atmospheric storage tank breathing valves based on Fuzzy PID (Proportional-Integrated-Derivative). The research aims to design the atmospheric storage tank breathing valve system into three modules. The monitoring module uses sensors for data collection, while the early warning module classifies the data based on the monitoring module to find the optimal classification boundary and achieve abnormal state recognition. The fault diagnosis module uses the fuzzy PID algorithm to thoroughly inspect and evaluate the abnormal conditions detected in the atmospheric storage tank, and finally evaluates the monitoring and fault diagnosis of the atmospheric storage tank breathing valve before and after improvement. The results showed that the diagnostic accuracy improved by using fuzzy PID was 35.2% higher than before. In summary, the diagnostic method proposed in this paper is superior to the traditional method and improves the reliability and performance of the system.
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