Method and device for judging lowest pressure point of pipe network

Abstract

The embodiment of the invention discloses a method and device for judging the lowest pressure point of a pipe network, and the method comprises the steps: obtaining the information of a pipe network to be judged, and obtaining the information of a gas source point and the information of a user node according to the information of the pipe network; then, according to the gas source point information and the user node information, a path with the minimum pressure loss is obtained through calculation in combination with a first shortest path algorithm; finally, according to the minimum pressure loss paths, after the pressure loss sum corresponding to each minimum pressure loss path is obtained, and after a first pressure point is judged according to the pipe network information and the multiple pressure loss sums, the minimum pressure point of the pipe network is obtained; wherein the lowest pressure point of the pipe network comprises the first pressure point. By adopting the embodiment of the invention, the accuracy of judging the lowest pressure point of the gas pipe network can be improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for judging the lowest pressure point of a pipe network. Background technique [0002] With the expansion of the scale of the pipeline network, the types of users in the pipeline network and the way users use gas have also undergone very obvious changes: the proportion of residential gas consumption is getting smaller and smaller, and the proportion of industrial and commercial users is getting more and more High, industrial and commercial users account for more than 50% or even higher of gas consumption in large urban gas enterprises. Residential users have low pressure requirements for pipeline gas, while industrial users are very sensitive to the pressure and flow of the pipeline network. Therefore, gas companies are required to continuously pay attention to the pressure and flow of the pipeline network, dynamically optimize the structure of the pip...

AI Technical Summary

Problems solved by technology

However, in view of the characteristics of urban gas pipelines, the pipeline network is complex (multiple loops, large number of pipeline networks) and the complexity of user composition, modeling is quite difficult

The estimation accuracy of gas consumption by urban gas users is relatively low, the structure is affected by gas consumption, and the calculation period is long, so the calculation results based on the lowest pressure point of gas consumption by urban gas users also have inaccurate problems

[0007] To sum up, the existing methods for judging the minimum pressure point of the pipeline network are not very accurate

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