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

A probabilistic neural network and control theory technology, applied in the field of online early warning management system of oil and gas storage and transportation facilities, can solve the problems that cannot meet the accuracy requirements of oil and gas storage and transportation facilities, and achieve rich early warning management methods, good model robustness and accuracy high rate effect

Inactive Publication Date: 2018-05-29
DALIAN UNIV OF TECH
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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, touch

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  • 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
  • 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
  • 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

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Embodiment Construction

[0045] In order to enable those skilled in the art to better understand the technical solutions in the examples of the present invention, and to make the above-mentioned purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the present invention will be further described in detail below, but It is not intended as a limitation to the technical solution of the present invention.

[0046] The invention proposes a risk assessment and online early warning management system and method for oil and gas storage and transportation facilities based on Shewhart control theory and probabilistic neural network, and performs instantaneous risk assessment and online early warning for oil and gas storage and transportation facilities.

[0047] 1. A risk assessment and online early warning management method for oil and gas storage and transportation facilities based on Shewhart control theory and probabilistic neural network. f...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08G06Q50/02G06F17/30G06N3/04
CPCG06F16/2462G06F16/2474G06F16/254G06Q10/0635G06Q10/0838G06Q50/02G06N3/047
Inventor 李彤张泽曦王天腾郭娟
Owner DALIAN UNIV OF TECH
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