Production line production data processing method and system based on industrial internet of things, and medium

By processing both analytical and real-time production data within the Industrial Internet of Things (IIoT), and combining historical data with AI vector space, the mapping relationship of production data is determined, thus resolving the issue of inconsistent data processing and improving the reliability of data processing and production efficiency.

CN116859858BActive Publication Date: 2026-06-26CHENGDU QINCHUAN IOT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU QINCHUAN IOT TECH CO LTD
Filing Date
2023-08-02
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In the Industrial Internet of Things (IIoT), existing technologies struggle to effectively unify and process production data from various production lines, resulting in low data processing reliability and impacting production efficiency.

Method used

By obtaining the data to be analyzed and real-time production data, and combining it with historical data processing to obtain reference production data, key knowledge descriptions are extracted, and mapping relationships are determined in a pre-configured AI vector space. The dimensional data of the key knowledge descriptions are used to determine the production data execution program.

Benefits of technology

This improved the reliability and efficiency of production data processing, ensuring the accuracy and consistency of data processing.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides an industrial Internet of Things-based production line production data processing method and system and a medium. Based on an AI vector space of a pre-configured network, first dimension data of a production data block corresponding to a first key knowledge description in real-time production data in the AI vector space is obtained, and second dimension data of a second key knowledge description in to-be-analyzed production data is obtained. The AI vector space of the pre-configured network is built according to the real-time production data, so that a mapping relationship between the real-time production data and the to-be-analyzed production data is obtained by using the first dimension data and the first knowledge description content of the first key knowledge description and the second dimension data and the second knowledge description content of the second key knowledge description. The production data execution program is determined through the mapping relationship, so that reliable determination of the mapping relationship is realized, and the credibility of production data processing in the industrial Internet of Things is ensured.
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