A gas leak detection method and system

Abstract

The application discloses a gas leakage detection method, including: establishing a Gaussian plume model according to the leakage information and determining the effective source height and gas diffusion coefficient of the leakage point in the Gaussian plume model; controlling the flying device to go to the initial position; using the Gaussian plume model to Smoke plume model, and control the flight path of the flight device based on the preset flight control algorithm, and obtain the mapping results of gas leakage. By applying the solution of the present application, the detection efficiency and safety of gas leakage in oil and gas pipelines are effectively improved, and relatively accurate gas leakage surveying and mapping results can be obtained. The application also provides a gas leakage detection system, which has corresponding technical effects.

Description

technical field [0001] The invention relates to the technical field of gas monitoring, in particular to a gas leakage detection method and system. Background technique [0002] At present, long-distance oil and gas pipelines have become the main way of transporting oil and gas resources, and the safety of pipelines affects the reliability of energy supply, so its safety importance is self-evident. Natural gas is a flammable, explosive, and toxic gas. Once the gas pipeline itself is damaged by external forces and leaks or ruptures, it can easily cause fire and explosion. Natural gas pipelines are long lines. At present, all-weather and all-round pipeline monitoring has not been realized. In traditional solutions, manual inspections are usually used for detection. However, such a method cannot detect unexpected pipeline problems in time, and the efficiency of handling accidents is relatively low. At the same time, at the scene of the leakage accident, such a detection method...

AI Technical Summary

Problems solved by technology

Natural gas is a flammable, explosive and toxic gas. Once the gas pipeline itself is damaged by external force and leaks or ruptures, it is very easy to cause fire and explosion.

Natural gas pipelines are long lines. At present, all-weather and all-round pipeline monitoring has not been realized. In traditional solutions, manual inspections are usually used for detection

However, this method cannot detect sudden pipeline problems in time, and the efficiency of handling accidents is relatively low

At the same time, at the scene of the leakage accident, such a detection method also has potential safety hazards, and the detection results cannot be fed back in time.

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