Real-time data processing method on industrial equipment side

Abstract

The present invention discloses a real-time data processing method on the industrial equipment side, and belongs to the technology in the field of data analysis. The method comprises the following steps that: Step S1, a user selects, through a user terminal, multiple measurement points that need to perform data collection, and an intelligent terminal connected with the associated measurement pointis taken as an associated terminal; Step S2, the user terminal generates an analysis program including a data configuration file and sends the analysis program to the server; Step S3, a correspondingdata processing instruction is sent to the associated terminal; Step S4, extracting feature data of the associated measurement point according to the real-time operating data; Step S5, the feature data is fed back to the server; and Step S6, the server obtains a corresponding data analysis result. The technical scheme of the present invention has the beneficial effects that the amount of data transmission is reduced, the real-time performance of data processing and the efficiency of data analysis are improved, the operating efficiency of the server is improved, and the maintainability and robustness of the system are improved.

Description

technical field [0001] The invention relates to a technology in the field of data analysis, in particular to a real-time data processing method at an industrial equipment end. Background technique [0002] During the operation of industrial equipment, there are many aspects of data such as sensor systems, control instructions, and production status. The application of data analysis technology can effectively mine the potential value of data and objectively evaluate the operation performance of equipment, which is an important means to ensure efficient and reliable operation of equipment. [0003] In the operation of industrial equipment, there are a large number of sensor nodes and control nodes, and the amount of data collected in real time is huge. The data is generally stored in a database on site for persistent storage. [0004] Data processing technology is one of the important steps in industrial data analysis, and data processing refers to the necessary processing of ...

AI Technical Summary

Problems solved by technology

[0006] Since the data processing is concentrated on the user end, it is necessary to process the operating data of multiple industrial equipment at the same time, and the server core module is heavily loaded, which restricts the system performance bottleneck

At the same time, during the analysis process, the failure of local nodes may easily cause system abnormalities, and it is difficult to ensure system load balance and fault tolerance

Images