Industrial big data processing method and device and computer equipment

Abstract

The invention discloses an industrial big data processing method, which comprises the following steps of: creating different tasks according to different data sources, and confirming label names and various parameter settings required to be read in each task; circularly executing the created different tasks; when the task is executed, performing data acquisition on the label data uploaded by the client according to the confirmed label name and various parameter settings; when the task is executed, analyzing, calculating and processing the collected label data; and when the task is executed, writing a label result obtained by analysis and calculation processing into the client where the corresponding data source is located so as to update the label information of the client and display thelabel result on the page of the client. The invention further discloses a device for realizing the industrial big data processing method and computer equipment. According to the invention, multi-taskand multi-port data acquisition, calculation and updating can be carried out on different data sources at the same time, and the data updating efficiency is improved.

Description

Technical field [0001] The present invention relates to the field of computer technology, and more particularly to an industrial large data processing method, apparatus, and computer equipment. Background technique [0002] Industrial data refers to the industrial field, around typical intelligent manufacturing models, from customers to sales, orders, plans, research, development, design, process, manufacturing, procurement, supply, inventory, delivery, delivery, after-sales service, operation and maintenance , Scrapped or recycled the entire product of various data and related technologies and applications generated by the entire product full lifecycle. Industrial data is based on product data, which has greatly extended the scope of traditional industrial data, and also includes industrial data related technologies and applications. The main source of industry data can be divided into the following three categories: The first category is the production and operation related bus...

AI Technical Summary

Problems solved by technology

At present, it is impossible to collect, write and update data from multiple different data sources at the same time, the update efficiency is low, and it cannot meet the data reading and writing requirements

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