Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An oil and gas pipeline early warning system and early warning method based on decision fusion

An oil and gas pipeline and decision-making fusion technology, applied in pipeline systems, closed-circuit television systems, electrical components, etc., can solve the problems of lack of real-time monitoring of early warning types and pipeline safety, low quality and accuracy of monitoring data, and fusion and integration have not yet been formed. Achieve the effect of improving business efficiency, eliminating diversity, and improving management level

Active Publication Date: 2020-10-30
浙江浙能天然气运行有限公司 +2
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the early warning system in this patent document cannot realize the fusion of the data collected by the UAV inspection and the data of the whole life cycle of the pipeline, and the monitoring method is relatively simple
[0006] Existing related technologies lack real-time monitoring of early warning types and pipeline safety, the purpose of active early warning is not enough, and the quality and accuracy of monitoring data is not high, the accuracy of early warning is low, and the function of fusion and integration has not yet been formed. For this reason, it is necessary to improve on this basis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An oil and gas pipeline early warning system and early warning method based on decision fusion
  • An oil and gas pipeline early warning system and early warning method based on decision fusion
  • An oil and gas pipeline early warning system and early warning method based on decision fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Figure 1 to Figure 4 As shown, this embodiment provides an oil and gas pipeline early warning system based on decision fusion, including:

[0041] Infrastructure layer, including IntelliSense devices;

[0042] The perception execution layer monitors and collects data on oil and gas pipelines through intelligent perception equipment;

[0043] The basic data layer is used to store the data collected by the perception execution layer and the data of the whole life cycle of oil and gas pipelines in the database;

[0044] The core service layer is used to mine the data in the database, make decision-making fusion of multiple early warning levels of various early warning methods corresponding to different early warning tasks, and obtain the early warning level of the corresponding early warning task; obtain each early warning through fault tree analysis Order the importance of tasks and early warning methods to achieve active early warning;

[0045] The application layer ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of oil-gas pipeline monitoring and pre-warning systems, and particularly relates to an oil-gas pipeline pre-warning system based on decision fusion and a pre-warning method. The system comprises an infrastructure layer, a sensing actuation layer, a basic data layer and a core service layer. The infrastructure layer comprises intelligent sensing equipment. The sensing actuation layer carries out monitoring and data acquiring on an oil-gas pipeline through the intelligent sensing equipment. The basic data layer is used for storing data acquired by thesensing actuation layer and data in the full life circle of the oil-gas pipeline in a database. The core service layer is used for mining the data of the database. Multiple pre-warning grades of multiple pre-warning methods corresponding to different pre-warning tasks are subjected to decision fusion, and the pre-warning grades of the corresponding pre-warning tasks are obtained; the importance orders of all the pre-warning tasks and pre-warning methods are obtained through accident tree analysis, and active pre-warning is achieved; and multi-source data can be fused, the performance of information processing is effectively improved, the pre-warning accuracy is high, and the pre-warning system and the pre-warning method have higher pertinence for pre-warning of the oil-gas pipeline.

Description

technical field [0001] The invention belongs to the technical field of oil and gas pipeline monitoring and early warning systems, and in particular relates to an oil and gas pipeline early warning system and an early warning method based on decision fusion. Background technique [0002] At present, with the development of the economy, the demand for oil and natural gas is increasing day by day. The transportation of natural gas is mainly realized through long-distance pipelines, and long-distance oil and gas pipelines are faced with problems such as difficult analysis of weld defects on the pipeline body, large direct current and soil stray current interference. , third-party construction monitoring is difficult, geological disaster prevention is difficult, and pipeline inspection in mountainous areas is difficult, and pipeline leakage incidents due to years of disrepair, corrosion, wear and accidental damage occur frequently, which not only causes huge economic losses. loss...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): F17D5/00G07C1/20H04N7/18
CPCF17D5/00F17D5/005G07C1/20H04N7/181H04N7/185
Inventor 滕卫明杨秦敏解剑波钱济人陈积明沈佳园李清毅张国民范海东向星任周君良丁楠
Owner 浙江浙能天然气运行有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products