Oil-gas pipeline pre-warning system based on decision fusion and pre-warning method

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...

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

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