Data acquisition terminal resource adaptation method based on edge computing

A data acquisition terminal and resource adaptation technology, applied in the field of communication, can solve problems such as high transmission delay, and achieve the effects of improving timeliness, short calculation and transmission delay
CN113315818AActive Publication Date: 2021-08-27华东桐柏抽水蓄能发电有限责任公司 +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
华东桐柏抽水蓄能发电有限责任公司
Publication Date
2021-08-27

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Abstract

The invention discloses a data acquisition terminal resource adaptation method based on edge computing. The method comprises the following steps: S1, establishing a task model of cloud edge cooperation; S2, analyzing task execution delay of each node in the task model and data transmission delay among the nodes; and S3, adopting different calculation task unloading strategies according to calculation tasks with different delay limits initiated by the terminal. According to the method, a task scheduling algorithm is deployed at an edge server end in a manner of cooperative processing of the cloud computing center and the edge nodes, and different computing task unloading strategies are adopted for computing tasks with different delay limits initiated by the terminal, so that shorter computing and transmission delay is obtained, so the timeliness of the auxiliary decision-making task in the pumped storage power station is improved.
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Description

technical field

[0001] The present invention relates to the field of communication technology, in particular to a resource adaptation method for data collection terminals based on edge computing. Background technique

[0002] As of the end of 2018, the installed capacity of domestic pumped storage power stations has reached 29.99 million kW, and the scale under construction has also reached 44 million kW. With the gradual expansion of the construction scale of pumped storage power stations, in order to facilitate management and monitoring, each power station has successively built a relatively complete automation system such as data collection, scheduling control, and production management. However, due to the limited processing capacity of the data collection terminal, pumping The degree of intelligence of the automation system of the energy storage power station.

[0003] Due to its powerful computing power, cloud computing solves the problem of insufficient computing pow...

Claims

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