Low-voltage Internet of Things distribution network data processing method based on edge computing technology

Abstract

A current low-voltage distribution network measurement and control system has the problems that a low-voltage distribution area is large in scale, wide in range and large in quantity, existing terminal collection and monitoring are lack of unified planning, design and standards, collected data are various in type and different in source, unified internet-of-things management cannot be achieved, so that the utilization rate of software and hardware resources of the platform is low, and demand response changes are insufficient. Therefore, the invention provides a low-voltage Internet of Things distribution network data processing method based on the edge computing technology, and the method comprises the steps: carrying out the standard storage of the data of a power distribution area, carrying out the preprocessing of the summarized data, forming an edge data platform, and carrying out the preset data analysis and processing of different types of data, and based on a predefined rule and a data analysis result, locally performing strategy execution or forwarding the data to a cloud end or other edge computing nodes for processing, and finally visually displaying and storing the data.

Description

technical field [0001] The invention belongs to the technical fields of computer technology and low-voltage power distribution measurement and control of power systems, and more specifically relates to a low-voltage Internet of Things distribution network data processing method based on edge computing technology. Background technique [0002] The low-voltage distribution network is located at the end of the entire power grid. It has the characteristics of wide distribution, complex power supply environment, and difficult operation and maintenance. It has long lacked intelligent and efficient operation monitoring and operation and maintenance management methods. And the current low-voltage distribution network measurement and control system has the following three shortcomings: First, the low-voltage distribution area is multi-faceted and large-scale, and the existing terminal collection and monitoring lacks unified planning, design and standards, and there are many types of d...

AI Technical Summary

Problems solved by technology

[0002] The low-voltage distribution network is at the end of the entire power grid. It has the characteristics of wide distribution, complex power supply environment, and difficult operation and maintenance. It has long lacked intelligent and efficient operation monitoring and operation and maintenance management methods.

And the current low-voltage distribution network measurement and control system has the following three shortcomings: First, the low-voltage distribution area is multi-faceted and large-scale, and the existing terminal collection and monitoring lacks unified planning, design and standards, and there are many types of data collected and different data sources. , unable to achieve unified IoT management, resulting in low utilization of platform software and hardware resources, and insufficient demand response changes; second, the acquisition data of the distribution network measurement and control system is not smooth across disciplines, and professional barriers are highlighted. The same data is used by different businesses. The collection is interrupted, and there is a big gap with the goal of one collection or entry, sharing and sharing

The third is that the ability to integrate data resources is not strong, lack of Internet thinking, insufficient opening up, sharing and cooperation, and the driving role of the industrial chain is not obvious

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