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Cloud edge collaborative perception method and system

A collaborative perception and edge model technology, applied in the field of cloud computing, can solve the problem of low perception accuracy of a single edge node

Active Publication Date: 2021-03-19
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a method and system for cloud-edge collaborative sensing to solve the technical problem of low sensing accuracy of a single edge node in the prior art

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  • Cloud edge collaborative perception method and system
  • Cloud edge collaborative perception method and system
  • Cloud edge collaborative perception method and system

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Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] With the advent of the Internet of Things era, smart phones, monitoring stations, surveillance cameras and other sensing devices are used in various fields, and heterogeneous perception data are generated through these sensing devices

[0061] The TSensors Summit predicts that by 2025, sensors will generate data on the order of 1,000 terabytes. On the other hand, the rise of Artificial Intelligence (AI), which focuses on deep learning, offers the abilit...

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Abstract

The embodiment of the invention provides a cloud edge collaborative awareness method and system, and the method comprises the steps: enabling each edge node to obtain and employ an elastic updating algorithm, updating the edge model of a former communication round according to a weighting result between a global model parameter and the edge model of the former communication round, and obtaining the edge model of the communication round; according to the local training set, training an edge model of the communication round to obtain a new edge model, and then obtaining a final edge model. Through multiple times of elastic updating, the local training set is used for training the edge model, the obtained final edge model is closer to actual perception, and therefore, more accurate perceptionis achieved.

Description

technical field [0001] The present invention relates to the field of cloud computing, in particular to a method and system for cloud-edge collaborative sensing. Background technique [0002] With the advent of the Internet of Things era, sensing devices such as smartphones, monitoring stations, and surveillance cameras are used in various fields, and heterogeneous perception data are generated through these sensing devices. Generally, the heterogeneous sensing data is given to the cloud server, and centralized learning is performed by aggregating the sensing data on the cloud server. [0003] Due to the relatively large computational load of cloud server centralized learning, for large-scale IoT perception, cloud server centralized learning becomes impractical. However, the sensing device is set in the edge node, which has storage and computing capabilities. Therefore, sensory data learning can be used at edge nodes. However, for a single edge node, the data it collects i...

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Application Information

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IPC IPC(8): H04L29/08H04L12/24
CPCH04L41/0823H04L41/145H04L67/025H04L67/1004H04L67/1095H04L67/1097H04L67/12
Inventor 刘亮马华东高雨佳
Owner BEIJING UNIV OF POSTS & TELECOMM
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