Long-distance gas transmission pipeline spatio-temporal data fusion system and method based on dynamic segmentation

Abstract

The invention discloses a long-distance gas transmission pipeline spatio-temporal data fusion system and method based on dynamic segmentation, and relates to the field of underground pipeline data fusion, data organization models and spatio-temporal indexing. The method comprises the following steps: acquiring gas transmission pipeline data; extracting the data of the gas transmission pipeline to obtain sample data of the gas transmission pipeline; standardizing the sample data of the gas transmission pipeline to obtain standardized sample data; performing data conversion on the standardized sample data to obtain converted sample data; performing data fusion on the converted sample data, and establishing a gas transmission pipeline space-time database. According to the invention, long-distance gas transmission pipeline spatio-temporal data fusion can be carried out, and a spatio-temporal data index model is established to efficiently manage data, so that integrated organization and management of long-distance gas transmission pipeline body, operation and maintenance and environment data are realized; and a solid data support is provided for safety space-time analysis of the long-distance gas transmission pipeline and accurate acquisition of potential safety hazards of pipeline operation.

Description

technical field [0001] The invention relates to the field of underground pipeline data fusion, data organization model and space-time index, in particular to a gas pipeline space-time data fusion system and method based on dynamic segmentation. Background technique [0002] The spatio-temporal data of long-distance gas pipelines include the long-distance gas pipeline body, operation and maintenance and environmental data. The three types of data are the basic data for the spatio-temporal safety analysis of long-distance gas pipelines. However, at this stage, the three types of data are managed separately by different departments, and the data structure is very different, which hinders the effective unified management of long-distance gas pipeline spatio-temporal data, and limits the comprehensiveness and accuracy of spatio-temporal safety analysis of long-distance gas pipelines. For this reason, it is an urgent problem to be solved in the spatio-temporal safety analysis of l...

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Problems solved by technology

[0003] Long-distance gas pipeline data fusion, organization model and space-time index research Aiming at the current technical situation that only relying on long-distance gas pipeline body data to carry out long-distance gas pipeline spatio-temporal security analysis is not comprehensive, inaccurate, and impractical, make full use of multiple Long-distance gas pipeline body, operation and maintenance and environmental data kept by the department, study the classification and organizational structure characteristics of long-distance gas pipeline and related data, establish a long-distance gas pipeline data conversion mathematical model marked by spatial dimension, design The long-distance gas pipeline data fusion organization model and space-time index mechanism realize the integrated organization and management of the long-distance gas pipeline body, operation and maintenance and environmental data, and accurately obtain the potential for long-distance gas pipeline safety and space-time analysis and pipeline operation. Potential safety hazards provide solid basic data support

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