Large industrial system feedback data real-time processing method and system based on Web

Abstract

The invention discloses a large industrial system feedback data real-time processing method based on Web. The large industrial system feedback data real-time processing method based on Web comprises the steps of firstly establishing a bottom layer data layer for acquiring industrial system original data of an industrial field device; then establishing a data processing layer for processing distributed data on the acquired industrial system original data, meanwhile establishing time stamps of data access and historical data; finally establishing a data distribution layer for performing dynamic paging storage on the industrial system original data and establishing a synchronous update module and a retrieval service module in the data distribution layer. The large industrial system feedback data real-time processing method enables system functions to be subdivided and prevents problems of a certain module from influencing all of server operation and user access. User's customization is achieved, and the user experience is improved. A large industrial system data processing system is good openness and high in expansion and meets real-time data as-required processing requirement. A memory database and a magnetic disk database are efficiently combined, the real-timeliness of the whole system is improved, and the operation load of the system is reduced.

Description

Technical field [0001] The invention relates to the technical field of platform components in the IT field and the system field, in particular to a Web-based large-scale industrial system feedback data real-time processing platform architecture and application. Background technique [0002] Existing industrial system feedback data real-time processing platforms generally have problems such as high data collection cost, low real-time performance, and poor user experience. At the same time, most of them are applied to C / S mode, and then this method is applied to strong concurrency and real-time The problems in large-scale industrial systems with high sexual requirements will become more prominent. Large-scale industrial system feedback data requires high concurrency and high real-time performance for collection and processing. It takes more resources and time to extract massive data processing, and the data storage efficiency is relatively slow. These all reduce the real-time perfo...

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Problems solved by technology

[0002] Existing industrial system feedback data real-time processing platforms generally have problems such as high data acquisition cost, low real-time performance, and poor user experience. The problem will be more prominent in large-scale industrial systems with high performance requirements

Feedback data from large-scale industrial systems requires high concurrency and real-time performance in collection and processing. It takes more resources and time to extract massive data, and the data storage efficiency is relatively slow, which reduces the real-time performance of the entire system and increases Increased operating load of the system

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