Industrial internet of things information visualization method, server and storage medium

Abstract

The invention discloses an industrial Internet of Things information visualization method. The method comprises the following steps of obtaining a plurality of visualization process parameter analysisrequests of a user and sending the visualization process parameter analysis requests to a Node micro service; using the routing module to distribute the visual process parameter analysis request to the controller module according to the preset interface configuration; using the controller module to analyze the visual process parameter analysis request; using the business layer module to respectively call back-end micro-services responsible for collecting corresponding process parameter data and send the screening demand information in the visual process parameter analysis request to the back-end micro-services; using the back-end micro-service to obtain the corresponding process parameter data meeting the screening requirement from the database and send the data to the business layer module; and using the service layer module to clean and aggregate the obtained process parameter data and send the process parameter data to the front-end Internet of Things visualization system for display through the middleware module, so that the problem that an existing micro-service architecture is high in service coupling degree and is difficult to adapt to the flexible and changeable service requirements is solved.

Description

technical field [0001] The present invention relates to the field of industrial internet of things, in particular to an information visualization method of industrial internet of things. Background technique [0002] In the application of industrial Internet of things, the forms of user access are more diverse, such as kanban in the factory, large screens, TVs, mobile terminals used by users (mobile phones, pads, industrial PDAs, small programs), etc. These complex and diverse devices have Different bandwidth limitations and compatibility issues require different APIs to complete data rendering. In the existing microservice architecture, as attached figure 1 As shown, each microservice needs to provide different APIs for different interactions of different terminals, resulting in high degree of business coupling, bloated system architecture, redundant code, difficult debugging, and difficulty in adapting to flexible and changeable business needs. Moreover, the front-end vi...

AI Technical Summary

Problems solved by technology

In the existing microservice architecture, as attached figure 1 As shown, each microservice needs to provide different APIs for different interactions of different terminals, resulting in high degree of business coupling, bloated system architecture, redundant code, difficult debugging, and difficulty adapting to flexible and changeable business needs

Moreover, the front-end visualization system has a high degree of customization, pays attention to performance issues, and aggregates and cleans the data. If the back-end needs to do this, the service will be too large and difficult to operate and maintain.

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