Edge calculation method for urban gas pipe network blockage diagnosis

Abstract

The invention relates to an edge computing system and method for urban gas pipe network blockage diagnosis. The method comprises the steps that a cloud computing layer drives pressure pulse applying equipment to apply pressure pulse to a tail end pipeline; an equipment layer performs real-time data detection and uploads the data to a storage node of the edge layer for storage; the cloud computing layer decomposes the task according to the computing steps; and a scheduling layer dynamically adjusts and distributes the queue of the sub-tasks according to the calculation steps corresponding to the decomposed sub-tasks.

Description

technical field [0001] The invention relates to the field of energy transmission, in particular to an edge computing method for diagnosing blockage of an urban gas pipeline network. Background technique [0002] With the development of network technology, edge computing is applied to the monitoring system of urban gas pipeline network. Mobile edge computing refers to the deployment of edge servers at the edge of the mobile network close to mobile device terminals to perform data calculation and storage, and provide network service environments and cloud computing functions for mobile devices by cooperating with remote cloud computing centers. By localizing and marginalizing computing, storage, and communication resources, the bandwidth requirements of centralized networks are greatly reduced, data traffic transmission is effectively reduced, link congestion is significantly weakened, and content acquisition in mobile networks is also accelerated. The speed greatly reduces t...

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Problems solved by technology

[0004] The above-mentioned existing technology has the following problems: due to the large number of terminal pipelines in urban low-pressure pipelines, it is usually necessary to stimulate the computing tasks of multiple terminal pipelines at the same time. After calculation decomposition and offloading, each computing node in the edge layer Both will serially queue up multiple subcomputing tasks

However, adopting the strategy with the shortest average calculation time requires calling a large amount of system status information and performing calculations. For the urban gas pipeline network, due to the large number of end pipelines and the large number of calculation tasks stimulated at the same time, if all calculation tasks are For overall calculation, the sorting calculation method based on the principle of the shortest average time consumption itself takes up a lot of network and computing resources, and the principle of fairness is used for queuing. Although the network and computing resources are saved, it is easy to cause each computing task. time-consuming increase

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