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Edge side intelligent decision-making system of power distribution Internet of Things

An intelligent decision-making, edge-side technology, applied in the direction of system integration technology, biological neural network model, information technology support system, etc., can solve the problem that the degree of intelligence of the distribution network is not enough, does not involve the adjustable potential of the distribution network load, and cannot meet the Smart grid demand and other issues, to achieve reasonable and efficient operation, improve the level of intelligence, and overcome the lack of intelligence

Pending Publication Date: 2022-05-13
SHANGHAI RES CENT FOR WIRELESS TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the current distribution network based on the edge computing architecture is not intelligent enough, and gradually cannot meet the needs of the smart grid, and the data fusion between the edge and the cloud can be further optimized in order to give full play to th

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  • Edge side intelligent decision-making system of power distribution Internet of Things

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with specific embodiments. It should be understood that the following examples are only used to illustrate the present invention but not to limit the scope of the present invention.

[0032] Such as figure 1 Shown is the edge-side intelligent decision-making system of the power distribution Internet of Things of the present invention, which is used to overcome the limitations of the current power distribution Internet of Things based on the edge computing architecture, improve the intelligence level of the edge computing nodes, and realize the reasonable and efficient distribution network run. Such as figure 1 As shown, the edge-side intelligent decision-making system of the power distribution Internet of Things includes a data input module 10 and a system decision-making module 30 connected to each other through a 5G communication module 20 . Wherein, the data input module 10 includes a plurality o...

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Abstract

The invention provides an edge-side intelligent decision-making system for a power distribution Internet of Things, and the system comprises a data input module which comprises a plurality of data collection modules connected with a 5G communication module, and a cloud module; the cloud module is located at the cloud of the power distribution network and performs training to obtain an initial fault positioning model and an initial load prediction model; the system decision module is located at an edge node in the power distribution network and comprises a fault positioning module and a load prediction module which are connected with the 5G communication module, and a decision output module which is connected with the fault positioning module and the load prediction module; and a fault positioning module and a load prediction module respectively download the initial fault positioning model and the initial load prediction model. According to the edge-side intelligent decision-making system of the power distribution Internet of Things, the improved BP neural network and edge-oriented cloud-edge cooperation of the power distribution Internet of Things are combined, and data fusion between the cloud and the edge is enhanced, so that intelligent decision-making of the edge side of the power distribution network is realized.

Description

technical field [0001] The invention relates to the field of power distribution Internet of things, in particular to an edge side intelligent decision-making system of power distribution Internet of things. Background technique [0002] Higher requirements are put forward for the demand-side management of the distribution network. Energy conservation and emission reduction, and improvement of users' electricity consumption behavior and electricity consumption goals have become the future development direction of the distribution network. [0003] However, with the expansion of the scale of the power distribution Internet of Things, millions of power distribution equipment and sensors are connected to the power distribution Internet of Things, resulting in massive multivariate and heterogeneous data. It takes up a large amount of network bandwidth, and at the same time brings great trouble to power data storage and computing processing. In addition, more and more scenarios r...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/00G06Q50/06G06F9/50G06N3/08G16Y10/35G16Y20/10G16Y20/20G16Y20/30G16Y40/10G16Y40/20G16Y40/40G16Y40/60
CPCG06Q10/04G06Q10/20G06Q50/06G06F9/5072G06N3/084G16Y10/35G16Y20/10G16Y20/20G16Y20/30G16Y40/10G16Y40/20G16Y40/40G16Y40/60G06F2209/502Y02E40/70Y04S10/50
Inventor 李强刘永清琚诚黄博闻赵峰陈勇姜承宾
Owner SHANGHAI RES CENT FOR WIRELESS TECH