Oil-gas pipeline remote real-time health monitoring system based on Internet of Things

Abstract

The invention discloses an oil-gas pipeline remote real-time health monitoring system based on Internet of Things. The oil-gas pipeline remote real-time health monitoring system mainly comprises data collection nodes, data aggregation nodes, a pipeline health real-time remote monitoring server and software. When the temperature, the pressure, the flow rate, the wall thickness and the leakage elastic waves of a pipeline exceed the threshold value, the data collection nodes automatically send out an uploading request that data are stored to the data aggregation nodes based on the operation mode of intelligent adjustment; after the data aggregation nodes respond to the request and the data are subjected to autonomous decision analysis, timestamp definition and preliminary screening of original collection signals are achieved; meanwhile, a sensor network collecting protocol is switched into a networking protocol, so that remote uploading of the effective data screened preliminarily is completed; and by using the algorithm special for pipeline leakage in the remote monitoring software and conducting periodic self-inspection and evaluation on the healthy state of the oil-gas pipeline and the healthy state of the system nodes, an alarm of accident potentials such as corrosion, leakage and explosion is sent to a client-side user.

Description

technical field [0001] The invention relates to a remote real-time health monitoring system for oil and gas pipelines, in particular to a remote real-time health monitoring system for oil and gas pipelines based on the Internet of Things. Background technique [0002] Pipeline transportation is one of the five largest transportation industries in the world, and is widely used to transport and deploy natural gas, oil, water and other easy-to-flow substances around the world. During its long-term continuous use, due to the material problems of the pipe itself, it will be accompanied by corrosion and aging of the pipe wall material, and pipe leakage will inevitably occur. Especially serious will directly cause serious damage to human living environment and life and property, but oil and gas pipeline leakage is difficult to find in time. [0003] The traditional wavelet transform algorithm is used to reduce the noise of the acoustic emission stress wave and negative pressure wa...

AI Technical Summary

Problems solved by technology

Most of the existing wireless modules are powered by batteries. However, as the network of pipelines for transporting oil and natural gas becomes more and more complex, and the energy consumption of wireless modules for data transmission is also increasing, the conventional battery power supply is far away. Can't meet demand

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