Industrial data analysis method and device based on integrated development system and electronic equipment

Abstract

The embodiment of the invention provides an industrial data analysis method based on an integrated development system,. dDevice and electronic equipment, T, the integrated development system comprisesDaStudio used for constructing an analysis project and DaRuntime used for deploying an analysis task. The method comprises the steps that in DaStudio, historical data of industrial equipment are acquired, and an analysis project is created, and an established basic analysis model is trained, t, tested and evaluated by using the historical data of the industrial equipment to acquire a target analysis model; A; and in DaRuntime, t, the target analysis model is applied to different devices or scenes, and real-time analysis is carried out on real-time data streams or timing batch processing is carried out on specified data by using the target analysis model. According to the embodiment of the invention, t, the development efficiency and the system reuse rate can be effectively improved, and the industrial data analysis model can be more conveniently applied to an online application system.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of information processing, and more specifically, relate to an industrial data analysis method, device and electronic equipment based on an integrated development system. Background technique [0002] With the deep integration of industrialization and informatization and the rapid development of the Industrial Internet of Things, a large amount of data that can represent the operating status of equipment and production operations has been collected, forming a large amount of industrial data. Through the collection of a large amount of industrial data, it is possible to use data-driven machine learning methods to play a role in the industrial field. Data analysis is widely used in the process of industrial production operation and maintenance including intelligent manufacturing, energy, and rail transportation. [0003] In the process of industrial data analysis, the core issue is t...

AI Technical Summary

Problems solved by technology

[0004] Due to the different specific industrial objects or application scenarios, the data characteristics of the above-mentioned analysis systems are often very different. When establishing the algorithm analysis model, it is necessary to search for different data processing algorithms again, resulting in low development efficiency and poor system reuse rate.

In addition, due to the differences between the offline data and the online system, it is often difficult to conveniently use the trained model in the online application system based on the analysis model established according to the offline analysis process.

Images