A data collection and human-machine collaborative labeling method based on edge computing

Abstract

The invention discloses a method for data collection and human-machine collaborative labeling based on edge computing, comprising the following steps: S1. Selecting an edge device close to a data source, sorting out basic information of the device, and performing data collection; S2. Using a computer according to the type of the device Construct the labeling model, S3, preprocess the data of the edge device, and estimate the proportion of different data, S4, then sort the labeling model according to the type of the data, when the data is collected in the present invention, the long-term unchanged by The data is monitored until the data changes, and the time interval between the two changes is recorded, thereby reducing the collection of the same data in the middle, simplifying the tedious work of data collection and subsequent data labeling and processing, and for regularly changing data. Make predictions, implement comparative monitoring, and collect regularly to reduce the large collection of invalid data and save data storage space.

Description

technical field [0001] The invention relates to the technical field of edge computing, in particular to a method for data collection and human-machine collaborative labeling based on edge computing. Background technique [0002] Edge computing refers to the use of 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 most recent services nearby, and its applications are initiated on the edge side to generate faster network services Responding to meet the basic needs of the industry in real-time business, application intelligence, security and privacy protection, 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 labeli...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a data collection and human-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 invalid 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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