Industrial data display method, system and related device

Abstract

The invention provides an industrial data display method. The industrial data display method comprises the steps of: subscribing a message queue, wherein the message queue is used for storing industrial data of industrial equipment; when the display request is detected, judging whether the display equipment currently contains cache data or not; if yes, performing data comparison on the industrial data and the cached data in the message queue, determining different data, and performing display updating on the cached data on the display equipment by utilizing the different data; and if not, taking the industrial data as cache data, and displaying the cache data on the display equipment. The data flow impact on the industrial data display front end due to the fact that the round-robin period is set too small can be reduced, display lagging is avoided, and the display effect is improved. The invention further provides an industrial data display system, a computer readable storage medium and electronic equipment which have the same effects.

Description

technical field [0001] The present application relates to the field of industrial data processing, in particular to an industrial data display method, system and related devices. Background technique [0002] The characteristic of industrial real-time data is that the data is continuously reported, and it is difficult to display the browser and mobile devices of we industrial data. In the display browser of We industrial data, there is a large amount of data and slow rendering, and polling cannot display accurate data in real time. On the App mobile side, there is a problem of large data consumption and traffic. Currently, Http requests are usually used to obtain service data. The disadvantage is that if the data on the server changes continuously, it is difficult for the client to know the changes. Data can only be obtained by polling at regular intervals. If the polling cycle is too large, the data update will not be timely enough. If the cycle setting is too small, the ...

AI Technical Summary

Problems solved by technology

In the display browser of We industrial data, there is a large amount of data and slow rendering, and polling cannot display accurate data in real time

There is a problem of large data consumption on the App mobile terminal

Currently, Http requests are usually used to obtain service data. The disadvantage is that if the data on the server changes continuously, it is difficult for the client to know the changes.

Data can only be obtained by polling at regular intervals. If the polling cycle is too large, the data update will not be timely enough. If the cycle setting is too small, the requests will be too frequent, which will increase the pressure on the server and obtain it repeatedly. data, which is inefficient and wastes resources, and makes the display of industrial data in browsers or mobile front-ends very slow

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