Side-cloud collaborative intelligent inspection method and system for electric power internet of things

A power Internet of Things and intelligent inspection technology, which is applied in transmission systems, electrical components, inspection time patrols, etc., can solve problems such as inconsistency in edge computing, single optimal distribution, and incomplete cutting of mobile computing modules, and achieve good real-time performance , Solve the large amount of calculation and ensure the effect of hardware resource utilization

A power Internet of Things and intelligent inspection technology, which is applied in transmission systems, electrical components, inspection time patrols, etc., can solve problems such as inconsistency in edge computing, single optimal distribution, and incomplete cutting of mobile computing modules, and achieve good real-time performance , Solve the large amount of calculation and ensure the effect of hardware resource utilization

CN112367400AActive Publication Date: 2021-02-12GUANGDONG POWER GRID CO LTD
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  • Side-cloud collaborative intelligent inspection method and system for electric power internet of things
  • Side-cloud collaborative intelligent inspection method and system for electric power internet of things
  • Side-cloud collaborative intelligent inspection method and system for electric power internet of things

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] refer to figure 1 , which is the first embodiment of the present invention, this embodiment provides an edge-cloud collaborative power Internet of Things intelligent inspection method, including:

[0043] S1: Collect information collected by drones. It should be noted that the collected information includes image information, positioning information, and time information.

[0044] S2: Perform convolution operation on the information of the mobile phone to extract feature information, and use the 5G core network to transmit the feature information and the total number of serial numbers. It should be noted that,

[0045] The total number of serial numbers includes, and the calculation formula of the total number of serial numbers is as follows:

[0046]

[0047] Among them, l is the length of the input image, w is the width of the input image, k is the size of the convolution kernel, and m is the increase coefficient.

[0048] S3: Use feature extraction information...

Embodiment 2

[0067] refer to Figure 2-5 , is the second embodiment of the present invention. This embodiment is different from the first embodiment in that it provides an edge-cloud collaborative electric power Internet of Things intelligent inspection system, including: a mobile computing module 100, an edge computing module 200 and cloud computing module 300, where it should be noted that,

[0068] The mobile computing module 100 is used to collect data information and complete the calculation of the convolution part of the feature model, including the UAV unit 101, the acquisition unit 102, the calculation unit 103, the storage unit 104 and the 5G communication unit 105, wherein the UAV unit 101 uses In order to provide the movement capability of the entire mobile computing module, the collection unit 102 is connected to the collection UAV unit 101 for collecting the image information and positioning information currently captured by the UAV unit 101, and the computing unit 103 is conn...

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Abstract

The invention discloses a side-cloud collaborative electric power Internet of Things intelligent inspection method and system. The method comprises the following steps: collecting information collected by an unmanned aerial vehicle; convolution operation being carried out on the collected information to extract feature information, and a 5G core network being utilized to transmit the feature information and the total number of the serial numbers; performing full-connection operation by utilizing the feature extraction information and the serial number, and judging abnormal features; performingcategory identification on the information of the abnormal features; and outputting the abnormal information and the information category to complete inspection. According to the invention, the hardware resource difference of each level is fully utilized, a task allocation scheme with unified efficiency and capability is realized, the computing capability of the whole system is accelerated, the hardware resource utilization rate and the inspection work efficiency of all equipment are ensured, the problem of large calculation amount of a unilateral server is solved, and thus better economic benefits are brought.

Description

technical field [0001] The present invention relates to the technical field of electric power Internet of Things, in particular to an intelligent inspection method and system of electric power Internet of Things with edge-cloud collaboration. Background technique [0002] The power system is an indispensable and important part of the rapid operation of today's society. Under the promotion of the high development of communication technology, the power Internet of things composed of the integration of power system and basic communication equipment system has effectively improved the informatization of the power system. The level and efficiency of the use of basic equipment. In order to ensure the stability of information sharing and data transmission, fault maintenance and repair inspection of the power line of the power Internet of Things is also essential. [0003] In recent years, the power line inspection task has transitioned from manual inspection to drone inspection. C...

Claims

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Application Information

Patent Timeline
12 Feb 2021
Publication
CN112367400A
IPC
H04L29/08; G07C1/20; G06K9/00
CPC
H04L67/12; G07C1/20; G06F2218/12; G06F2218/08
Inventors
曾纪钧; 龙震岳