A pipeline 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 system realizes the classification of the safety of the pipe network, and improves the efficiency and reliability of the pipe network operation; the present invention effectively solves the problem that the existing pipe network does not change according to the parameters of the pipe network, such as nonlinearity, large lag, and complex parameter changes of the large pipe network area. The impact on the safety of the pipe network, and there is no prediction of the parameters of the pipe network and early warning of the safety of the pipe network, which greatly affects the reliable operation and intelligent management of the pipe network.

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

Images