Research and Application of Key Parameter Prediction and Early-warning and Safety Navigation Technology for Oil and Gas Stations
To ensure the processes stability of oil and gas station,and to predict and solve possible abnormity of process parameters in advance,a predictive early-warning and safety navigation system based on long short-term memory neural network algorithm has been developed.The design scheme is introduced.The process flow of the oil and gas station is analyzed.The selection of the key manufacture parameter and the prediction early-warning module and the construction of the process safety navigation system expert logical library are introduced.The practical application indicates that the system can predict early-warning of key production parameters in oil and gas stations.It can provide the future development trend of key production parameters in advance.For the case of possible exceeding threshold faults of key parameters,the system can automatically provide expert safety guidance strategies,and prevent processes from entering a fault status.
prediction and early-warningsafety navigationlong short-term memory neural network modelprocess stability
NETL
NSTL
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