Operation guidance system and method based on power plant real-time data analysis

Abstract

The invention relates to the technical field of data analysis, in particular to an operation guidance system and method based on power plant real-time data analysis, and the system comprises a data collection module which collects SIS/DCS real-time data and historical data; the data screening module is used for eliminating bad data in the collected data by adopting a data filtering method; the data storage module is used for carrying out classified storage on the screened data and importing expected value parameters of each index; the deviation analysis module is used for performing deviation analysis on the classified and stored data in combination with an expected value, calculating the score of each index and analyzing each overrun; the data visualization module is in communication connection with the deviation analysis module and is used for visually displaying the real-time score, the real-time comparison and the real-time evaluation in real time; and a trend analysis module. According to the method, the historical data analysis model is established by using the real-time data of the power plant equipment information, the model is calculated and analyzed through data analysis, and finally the purposes of small data, deep mining and precise application are achieved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to an operation guidance system and method based on real-time data analysis of power plants. Background technique [0002] Because the previous power generation enterprise production and operation data analysis was functionally scattered and incomplete, it failed to form an overall system structure, and the data used were also scattered partial data, which could not carry out comprehensive data analysis and multiple data analysis. Dimensional data information display. The power plant data information can only read the information in real time, cannot analyze and summarize historical data, cannot judge the real-time status of equipment, and cannot reflect the information status. More and more things are being done. In addition, the previous data analysis and processing failed to comprehensively consider the problems of massive data analysis and processing, so it is difficult ...

AI Technical Summary

Problems solved by technology

[0004] (1) Power generation companies have data but no applications, resulting in massive data storage and idleness, and cannot effectively find knowledge and means to improve system operation from the system's own operating data

[0005] (2) Correlation analysis is not in place

However, the current information system generally lacks a flexible relationship analysis platform for engineers. It cannot arbitrarily compare the relationship between them, provide comparisons between different periods, and help users see changes in different periods.

[0006] (3) Power generation is a complex technological process. In the process of power generation, not only the final operating index is expected to meet the requirements of economy and environmental protection, but also the operating parameter index must meet the requirements in every link of the whole process. Only by controlling every link can the result indicators be guaranteed to be qualified, and the power plant just does not have the application of analytical data at present

[0007] (4) Lack of ability to compare the correlation between variables, unable to compare and judge the independence of each variable

[0008] (5) The evaluation of all variables basically appears in the form of average and sum values. For the current key variables, a comprehensive analysis of the operation since one value: what is the expected value, what is the deviation value, what is the score, and what is the cumulative score? How much, what is the time to press the red line, how much is the normal operation time, what is the proportion of the normal operation time, what is the proportion of the alarm operation time, etc., lack of a complete analysis

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