Visual management method of data of industrial Internet of Things

Abstract

The invention relates to a visual management method of the data of an industrial Internet of Things. The method comprises the following steps that: firstly, a data integration module collects data which is dispersed in different systems and is mutually independent and carries out centralized storage; secondly, a data modeling module carries out data modeling and establishes an incidence relationship between data to enable mutually independent data to be changed into mutually associated data; and finally, on the basis of the data of which the incidence relationship is established, a vision design module configures a visual data analysis view through user customization and displays the visual data analysis view through a display platform module. By use of the method, convenience and timeliness for factory production data collection, data integration gathering and data statistical analysis are improved, and enterprises are assisted in managing decisions.

Description

technical field [0001] The invention relates to the technical field of data analysis and visualization, in particular to a data visualization management method of the Industrial Internet of Things. Background technique [0002] With the continuous development of the Internet and artificial intelligence technology, enterprises have established basic information application systems. After a long period of accumulation and storage of a large amount of business data, enterprises urgently need statistical analysis and real-time display of historical and real-time business data. Intelligent mining is used to guide the production, operation and management decisions of enterprises. [0003] With the development of data analysis statistics and visualization technology, a large number of visual information charts have been integrated into the basic information application system of enterprises. Under normal circumstances, when an enterprise inquires about a product's production progr...

AI Technical Summary

Problems solved by technology

[0004] 1. The process is long, labor-intensive and time-consuming;

[0005] 2. There are too many reports, it is impossible to focus on the key points, and the selection flexibility is poor;

[0006] 3. The dimension is single and irrelevant, and cannot give managers comprehensive and reliable analysis results;

[0007] 4. Failure to respond in a timely manner to abnormalities in the actual production process of the enterprise;

[0008] 5. Unable to organically combine real-time production information with historical analysis data;

[0009] The above shortcomings have led to the loss of the application value of data analysis and visualization when the analysis results come out, and cannot provide effective data support for the production, operation and management of the enterprise, causing the enterprise to suffer economic losses.

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