Data analysis and decision making system of water enterprise

Abstract

The invention discloses a data analysis and decision making system of a water enterprise. The data analysis and decision making system comprises a data acquisition module, an industry real-time database, a data analysis module, an IE client site and a state inspection module, wherein the data acquisition module is used for collecting data, the industry real-time database is used for compressing and storing the data collected by the data acquisition module, the data analysis module is used for retrieving the data from the industry real-time database and integrating and analyzing the data, the IE client site is connected with the data analysis module and used for issuing analysis results, and the state inspection module is used for inspecting a system. Data acquisition software, storage software and analysis software are organically combined, the data are integrated and efficiently stored through various data communication ports, design tools and third-party language programs, an analytical structure is shown in different modes by adopting a plurality of analysis methods, and production forecasts and fault handling suggestions are provided through data mining.

Description

technical field [0001] The invention relates to a data collection, analysis and decision-making system, including collection, storage, analysis, display and query processing of data from different data sources. Background technique [0002] At present, the application of automatic control in the water industry is more and more extensive, and the real-time monitoring and video monitoring of the production process are generally recognized by people. The real-time monitoring and video monitoring of the production process generally use configuration software or a man-machine interface developed in a high-level language to display a simple and vivid real-time production process. However, the data storage in the production process is saved to the traditional database through different storage methods, and then the data is displayed in the form of a certain period of time (such as daily report, weekly report, ten-day report, etc.). This approach has some shortcomings. First, the ...

AI Technical Summary

Problems solved by technology

First, the data is stored in a traditional database without primary processing such as compression, which will take up a lot of hard disk space and require relatively high hardware space. In addition, when the amount of data is relatively large, the query and data display are both fast. limits

Second, when multiple systems need to be comprehensively analyzed, they cannot be easily integrated, and it is easy to cause each system to operate independently.

Images