Data acquisition and man-machine collaborative labeling method based on edge calculation

Abstract

The invention discloses a data acquisition and man-machine collaborative labeling method based on edge computing, and the method comprises the following steps: S1, selecting an edge device close to a data source, carding basic information of the device, and performing data acquisition; S2, constructing a labeling model by using a computer according to the type of the device; S3, preprocessing the data of the edge device, and estimating the proportions of different data; S4, sorting the labeling models according to the types of the data. During data acquisition, data which is not changed for a long time is monitored and is acquired until the data is changed, and the time interval of two changes is recorded, so acquisition of intermediate same data is reduced, tedious work of data collection and subsequent data annotation processing is simplified, regular change data is predicted, comparison monitoring and regular collection are implemented, collection of a large amount of useless data is reduced, and data storage space is saved.

Description

technical field [0001] The invention relates to the technical field of edge computing, in particular to a method for data collection and man-machine collaborative labeling based on edge computing. Background technique [0002] Edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the source of objects or data to provide the nearest end services, and its applications are initiated on the edge side to generate faster network services. Response to meet the basic needs of the industry in terms of real-time business, application intelligence, security and privacy protection, etc. Edge computing is between physical entities and industrial connections, or at the top of physical entities, while cloud computing can still access the history of edge computing Data, labeling the data can make the data more convenient to analyze and use; [0003] However, the current data collection and labeling of e...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a data collection and man-machine collaborative labeling method based on edge computing, which can effectively solve the problem that the current data collection and labeling of edge computing in the background technology is not enough for the analysis of data collection, so that a large amount of useless data is collected, which not only leads to The post-data processing is more troublesome, the data labeling takes a long time, and wastes a lot of storage space, resulting in low efficiency of data collection and labeling

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