Pipe network big data detection system

Abstract

The invention discloses a pipe network big data detection system which is composed of a pipe network parameter acquisition platform and a pipe network safety big data processing subsystem, the pipe network parameter acquisition platform detects pipe network parameters, the pipe network safety big data processing subsystem classifies pipe network safety, and pipe network operation benefits and reliability are improved; the method effectively solves the problems that an existing pipe network has no influence on pipe network safety according to nonlinearity and large lag of pipe network parameter changes, large pipe network area, complex parameter changes and the like, pipe network parameters are not predicted, and pipe network safety is not pre-warned, so that reliable operation and intelligent management of the pipe network are greatly influenced.

Description

technical field [0001] The invention relates to the technical field of pipeline network safety automatic detection equipment, in particular to a pipeline network big data detection system. Background technique [0002] The city's underground pipeline is responsible for the city's information transmission, energy transmission, drainage and disaster reduction, and waste disposal functions. It is the material basis for the city's survival and development. It is like the "vessels" and "nerves" in the human body. Therefore, Known as the "lifeline" of the city. Whether the city's underground pipeline system can operate safely directly affects the normal operation of urban functions, especially the flammable and explosive gas pipeline network, whose safe operation is related to the safety of people's lives and property. With the acceleration of the world's urbanization process, the construction of urban underground pipelines is developing very rapidly, and there are more and more ...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a large data detection system for pipe networks. The present invention effectively solves the influence of the existing pipe network on the safety of the pipe network due to non-linearity, large lag, and large pipe network area and complex parameter changes based on the change of pipe network parameters. There is also no prediction of the parameters of the pipeline network and early warning of the security of the pipeline network, which greatly affects the reliable operation and intelligent management of the pipeline network

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