Cloud edge data collaboration method for power internet of things

Abstract

The invention discloses a cloud edge data collaboration method for an electric power internet of things, and the method comprises the following steps: S1, dividing an electric power system data application service into a plurality of micro-services, packaging the micro-services into a container mirror image, and uploading the container mirror image to a cloud platform container library; S2, enabling the cloud platform to perform container arrangement according to the resource condition of the edge layer node, and distribute, download, install and configure a micro-service container for the edge layer node; S3, enabling the edge layer node to obtain data collected by the sensing layer equipment of the electric power Internet of Things, and performing data preprocessing on the multi-source heterogeneous data through the data preprocessing micro-service container; and S4, enabling the edge layer to forward the preprocessed data to a cloud platform for further utilization according to an application micro-service deployment structure or utilizes the preprocessed data on site through the edge layer. The method can be used for data processing in links of energy production, transmission and distribution and sale of the power Internet of Things, has the characteristics of adaptation to multi-source heterogeneous data and high resource utilization rate, and solves the problem of high resource pressure of a cloud platform under the existing cloud computing architecture.

Description

technical field [0001] The invention relates to a cloud-edge data collaboration method for the electric power Internet of Things, and relates to the technical field of data cloud-edge collaboration. Background technique [0002] The continuous development of the energy Internet has made the relationship between the power system and the Internet of Things technology increasingly close. The Internet of Things formed by it provides information and data support for the energy production, transmission, distribution and other links of the power system, which is conducive to optimizing the operation of the power grid, reducing management costs, and improving It has a great role in promoting economic benefits and improving service quality. With the proposal of the Ubiquitous Electric Power Internet of Things (UEP-IoT), the large-scale popularization of electric power Internet of Things sensing equipment, the data gradually presents the characteristics of massive heterogeneity, compl...

AI Technical Summary

Problems solved by technology

With the proposal of the Ubiquitous Electric Power Internet of Things (UEP-IoT), the large-scale popularization of electric power Internet of Things sensing equipment, the data gradually presents the characteristics of massive heterogeneity, complex processing, and high calculation frequency.

The power grid company currently adopts a cloud computing architecture to upload the perception layer data to the cloud platform for centralized processing and application. However, in the context of massive data, there are the following problems: on the one hand, the cloud platform has a large data transmission delay, resulting in untimely business response; on the other hand, Data is concentrated on the cloud platform, causing a burden on network communication and computing resources

However, most of the above studies start from the specific link of the power system, and discuss and analyze the cloud-side collaboration of the power Internet of Things application business. There is no specific implementation plan for cloud-side data collaboration in view of the characteristics of massive heterogeneity of power Internet of Things data.

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