Oil and gas storage and transportation facility risk assessment and online early-warning management system and method based on Shewhart control theory and probabilistic neural network

Abstract

The invention belongs to the field of oil and gas safety management, and proposes an oil and gas storage and transportation facility risk assessment and online early-warning management system and an oil and gas storage and transportation facility risk assessment and online early-warning management method based on a Shewhart control theory and a probabilistic neural network. The invention utilizesan innovative big data processing method, combines the Shewhart control theory and the probabilistic neural network, and provides the oil and gas storage and transportation facility risk assessment and online early-warning system and the oil and gas storage and transportation facility risk assessment and online early-warning method. The Shewhart control theory is adopted as a principal method forscreening abnormal data from big data, monitoring methods of early-warning indicators during the original oil and gas storage and transportation process are improved, a statistical process method is combined with a supervised machine learning concept, multi-source stream big data is processed, instantaneous multi-dimensional data is subjected to risk prediction in actual operation, risk levels areabutted with emergency management plans, the accuracy rate is high, the model robustness is good, the forward moving of cross-regional prevention and control management ports is realized, managementdecisions are driven by utilizing intelligent calculation of data, the early-warning management means are enriched, and timely control and operation are facilitated.

Description

technical field [0001] The invention belongs to the field of oil and gas safety management, and relates to an online early warning management system and method for oil and gas storage and transportation facilities based on Shewhart control theory and probabilistic neural network. Background technique [0002] Oil and gas storage and transportation facilities are an important link connecting production, transportation and sales within the petroleum industry. However, the risk of oil and gas leakage and explosion during storage and transportation is very high. Once an accident occurs, it will bring huge losses to the people. economic and environmental losses. Engineering practice shows that operators' lack of understanding of process operations and lack of standardized management training are the key causes of oil and gas storage and transportation safety accidents. Therefore, risk assessment for oil and gas storage and transportation facilities has important practical signifi...

AI Technical Summary

Problems solved by technology

The main man-made early warning management method is manual line inspection, including pipeline risk judgment and adopting emergency plans corresponding to the risk level, that is, workers make risk judgments by knocking on the transportation pipeline, observing the display number of the chemical instrument, touching the transportation pipeline, etc., and then adopt The original emergency plan of oil and gas storage and transportation enterprises cannot meet the accuracy requirements in the risk assessment process of oil and gas storage and transportation facilities due to the subjectivity and lag of manual line inspection

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