Pipeline safety comprehensive supervision method in combination with spatial information

Abstract

The invention relates to a pipeline safety comprehensive supervision method in combination with spatial information. The method comprises the following steps: a step of constructing a pipeline safety supervision knowledge graph, namely a step of collecting pipeline data according to a pipeline safety comprehensive supervision business process, performing knowledge modeling and knowledge extraction on the collected pipeline data to construct the pipeline safety supervision knowledge graph, performing extraction and conversion on the collected pipeline data to obtain pipeline space data and attribute data in the pipeline safety supervision knowledge graph complement each other, and forming the knowledge graph fusing the pipeline space data, the pipeline attribute data and each piece of pipeline business data; and a step of a data query or data analysis, namely a step of receiving a pipeline safety comprehensive supervision service instruction, performing data query or data analysis operation in the knowledge graph according to the service instruction, and returning a service analysis result to the user side in a visual form. According to the method, underground pipeline multi-source resource information integration is effectively promoted, pipeline safety comprehensive supervision services are organized in order, and the method has a relatively strong application prospect.

Description

technical field [0001] The invention relates to the technical field of pipeline supervision and knowledge map, in particular to a comprehensive pipeline safety supervision method combined with spatial information. Background technique [0002] Urban underground pipelines refer to pipelines and ancillary facilities for water supply, drainage, gas, heat, industry, etc. within the city, and are important infrastructure for urban residents' life, industrial production and urban operation. At present, my country's urbanization process has reached an unprecedented scale and construction speed, and the scale of urban underground pipeline construction has also continued to expand. However, under the background of the construction boom in full swing, problems in the management of urban underground pipelines also emerge in endlessly: blind construction causes underground pipelines to be destroyed, leading to water, gas, power and communication interruptions, repeated road digging, dis...

AI Technical Summary

Problems solved by technology

[0004] 1. At present, there are no more standardized, structured and standardized business processes and management methods to guide the comprehensive supervision of underground pipeline safety, resulting in the inability to systematically manage the associated data of underground pipeline safety supervision business, which seriously reduces the efficiency of business processing;

[0005] 2. At present, most of the databases related to comprehensive supervision of pipeline safety are relational databases, which cannot store unstructured data, such as pipeline product quality documents, pipeline technical specification documents, etc.; and the queries generated in the relational database environment must deal with a large number of tables and complex The complex query efficiency is low, the system maintenance cost is high and the modification is difficult;

[0006] 3. Since the whole process of comprehensive pipeline safety supervision involves multi-field knowledge, the use of relational databases for data storage usually results in a low degree of fusion of different data, and it is difficult to effectively link different information and make full use of different data during management, resulting in low efficiency of supervision business processing

[0007] 4. The spatial knowledge coverage of the existing pipeline database is low, and there are problems such as missing attributes such as spatial relationship and coordinate information, and it is unable to provide various important business support services such as pipeline spatial query, analysis, and visualization.

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