CN111797081A - A system and method for evaluating the quality of power operation monitoring data - Google Patents

Abstract

The invention belongs to the field of power operation monitoring, and particularly relates to a power operation monitoring data quality evaluation system and a power operation monitoring data quality evaluation method. The method can convert abstract power operation monitoring data quality evaluation into visual quantitative evaluation result feedback, realizes qualitative and quantitative evaluation of data quality, greatly improves the whole data quality evaluation efficiency and fault-tolerant capability, and has high working efficiency and power system operation reliability.

Description

A system and method for evaluating the quality of power operation monitoring data

technical field

The invention relates to the technical field of power operation monitoring, and in particular, to a system and method for evaluating the quality of power operation monitoring data.

Background technique

The power market operation system is also called the power market technical support system.

The domestic and foreign power market reform practice and the transaction mode, electricity price system, transaction type, competition and supervision content in the electricity market theory, integrates the relevant economics theories and system engineering viewpoints, and analyzes the overall structure and support of the electricity market operation system. The functional configuration of the platform and each subsystem focuses on the in-depth discussion of the electric energy metering system, energy management system, market analysis and forecasting system, transaction management system, quotation auxiliary decision-making system and quotation processing system. Settlement systems and transaction information systems are described in general.

The existing power operation monitoring data quality evaluation system cannot convert the abstract power operation monitoring data quality evaluation into intuitive quantitative evaluation result feedback, and cannot realize the qualitative and quantitative evaluation of data quality, which reduces the overall data quality evaluation efficiency and fault tolerance. ability.

SUMMARY OF THE INVENTION

The purpose of the present invention is to solve the problem in the prior art that the power operation monitoring data quality evaluation system cannot convert the abstract power operation monitoring data quality evaluation into intuitive quantitative evaluation result feedback, and cannot realize the qualitative and quantitative evaluation of data quality, The shortcomings of overall data quality assessment efficiency and fault tolerance are reduced, and a data quality assessment system and method for power operation monitoring are proposed.

In order to achieve the above object, the present invention adopts the following technical solutions:

A power operation monitoring data quality evaluation system, comprising a startup module, a power information input module, a data addition module, a data analysis module, a data storage module, a data extraction module, a historical data module, a data comparison module, an abnormality analysis module, and an abnormality alarm module , data feedback module, judgment module, quality analysis module, data statistics module, result output module and end module, the startup module is connected with the power information input module, the data addition module is connected with the power information input module, the The power information input module is connected with the data analysis module, the data analysis module is connected with the data storage module, the data storage module is connected with the data extraction module, and both the data analysis module and the historical data module are connected with the data comparison module. The data comparison module is connected with the abnormality analysis module, the abnormality analysis module is connected with the abnormality alarm module, the data comparison module is connected with the data feedback module, the data feedback module is connected with the judgment module, and the data feedback module is connected with the judgment module. The judgment module is connected with the quality analysis module, the quality analysis module is connected with the data statistics module, the data statistics module is connected with the result output module, and the result output module is connected with the end module.

Preferably, the data adding module includes a text data adding unit, a picture data adding unit, a symbol data adding unit and a video data adding unit, the text data adding unit is connected with the picture data adding unit, and the picture data adding unit is connected to The symbol data adding unit is connected, and the symbol data adding unit is connected with the video data adding unit.

Preferably, the data extraction module includes an input data information unit, a data query unit, a data pop-up unit and a data extraction selection unit, the input data information unit is connected with the data query unit, and the data query unit is connected with the data pop-up unit connected, the data pop-up unit is connected with the data extraction and selection unit.

Preferably, the data analysis module includes a text data analysis unit, a picture data analysis unit, a symbol data analysis unit and a video data analysis unit, the text data analysis unit is connected with the picture data analysis unit, and the picture data analysis unit is connected to The symbol data analysis unit is connected, and the symbol data analysis unit is connected with the video data analysis unit.

Preferably, the data statistics module includes an abnormal data statistics unit, a word table statistics unit, a statistics summary unit and a result printing unit, the abnormal data statistics unit is connected with the word table statistics unit, and the word table statistics unit is connected with the statistics summary The unit is connected, and the statistical summary unit is connected with the result printing unit.

A method for evaluating the quality of power operation monitoring data, comprising the following steps:

S1: Start the evaluation system through the startup module, and then input the power operation monitoring data through the power information input module. When part of the data is missing, add data through the data addition module, and then the data analysis module analyzes the input power operation monitoring data. Data analysis At the same time, the module will copy a copy of the data and import it into the data storage module for storage. When the saved data needs to be extracted, the data information can be extracted only through the data extraction module;

S2: After the data analysis module analyzes, it is combined with the historical data module, and compared through the data comparison module. When there is abnormal data in the comparison result, the abnormality analysis module will carry out abnormal analysis on the abnormal data, and give an alarm through the abnormal alarm module;

S3: The non-abnormal data in the comparison result is fed back through the data feedback module, and then the judgment module judges the information fed back by the data feedback module. After the judgment is completed, the quality of the data is analyzed by the quality analysis module, and after the analysis is completed, the data statistics module is used. Carry out data statistics, and output the results of power operation monitoring data quality assessment through the result output module, and end the module to end the entire process.

Preferably, in the S1, when adding data through the data adding module, it is preferred to add text data through a text data adding unit. After the text data is added, the image data is added through the image data adding unit. Then, the symbol data is added by the symbol data adding unit, and finally the video data is added.

Preferably, in the S1, when the data extraction module extracts data, it is preferred to input data information, and then the data extraction module queries the input information. data.

Preferably, in the S1, the data analysis module first analyzes the text information of the input data, analyzes the picture information of the input data after the text data information analysis is completed, and analyzes the symbol information of the input data after the image information analysis is completed, After the symbol information analysis is completed, the video information of the input data is analyzed.

Preferably, in the S3, the data statistics module first performs statistics on abnormal data, then performs data statistics on a plurality of word lists, summarizes after the statistics are completed, and prints the aggregated results through the result printing unit.

In the present invention, the power operation monitoring data quality evaluation system and method, start the evaluation system through the startup module, then input the power operation monitoring data through the power information input module, and add data through the data addition module when part of the data is missing, When adding data through the data addition module, it is preferred to add text data through the text data addition unit. After the text data addition is completed, the image data is added through the image data addition unit. After the image data is added, the symbol data addition unit is used to add the symbols. The data is added, and finally the video data is added, and then the data analysis module analyzes the input power operation monitoring data. The data analysis module first analyzes the text information of the input data, and after the text data information analysis is completed, the picture information of the input data is analyzed. Analysis, after the image information analysis is completed, the symbol information of the input data is analyzed. After the symbol information analysis is completed, the video information of the input data is analyzed. At the same time, the data analysis module will copy a copy of the data and import it into the data storage module for saving. When saving data, you only need to extract data information through the data extraction module. When the data extraction module extracts data, the first choice is to input data information, and then the data extraction module queries the input information. After the query is completed, the query result will pop up. Finally, The data to be extracted is selected by the data extraction selection unit. After the data analysis module analyzes, it is combined with the historical data module, and compared through the data comparison module. When there is abnormal data in the comparison result, the abnormal data analysis module will perform abnormal analysis. And through the abnormal alarm module to give an alarm prompt, the non-abnormal data in the comparison result is fed back through the data feedback module, and then the judgment module judges the information fed back by the data feedback module, and after the judgment is completed, the quality of the data is analyzed by the quality analysis module. After the analysis is completed, the data statistics module is used for data statistics. The data statistics module first collects statistics on abnormal data, and then performs data statistics on multiple word tables. After the statistics are completed, the summary results are printed through the result printing unit, and Output the result of power operation monitoring data quality assessment through the result output module, and end the module to end the whole process.

The invention can convert the abstract power operation monitoring data quality evaluation into intuitive quantitative evaluation result feedback, realize the qualitative and quantitative evaluation of the data quality, greatly improve the overall data quality evaluation efficiency and fault tolerance, high work efficiency and power system operation reliability.

Description of drawings

1 is a schematic block diagram of a power operation monitoring data quality assessment system proposed by the present invention;

2 is a schematic block diagram of a data addition module of a power operation monitoring data quality assessment system proposed by the present invention;

3 is a schematic block diagram of a data extraction module of a power operation monitoring data quality assessment system proposed by the present invention;

4 is a schematic block diagram of a data analysis module of a power operation monitoring data quality assessment system proposed by the present invention;

FIG. 5 is a schematic block diagram of a data statistics module of a power operation monitoring data quality assessment system proposed by the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments.

1-5, a power operation monitoring data quality evaluation system, including a startup module, a power information input module, a data addition module, a data analysis module, a data storage module, a data extraction module, a historical data module, a data comparison module, an exception Analysis module, abnormal alarm module, data feedback module, judgment module, quality analysis module, data statistics module, result output module and end module, the startup module is connected with the power information input module, and the data addition module is connected with the power information input module The modules are connected, the power information input module is connected with the data analysis module, the data analysis module is connected with the data storage module, the data storage module is connected with the data extraction module, the data analysis module and the historical data module are connected All are connected with the data comparison module, the data comparison module is connected with the abnormality analysis module, the abnormality analysis module is connected with the abnormality alarm module, the data comparison module is connected with the data feedback module, and the data feedback module is connected with the abnormality alarm module. The judgment module is connected, the judgment module is connected with the quality analysis module, the quality analysis module is connected with the data statistics module, the data statistics module is connected with the result output module, and the result output module is connected with the end module .

In the present invention, the data adding module includes a text data adding unit, a picture data adding unit, a symbol data adding unit and a video data adding unit, the text data adding unit is connected with the picture data adding unit, and the picture data adding unit is connected with the symbol data adding unit The symbol data adding unit is connected with the video data adding unit.

In the present invention, the data extraction module includes an input data information unit, a data query unit, a data pop-up unit and a data extraction selection unit, the input data information unit is connected with the data query unit, the data query unit is connected with the data pop-up unit, and the data pop-up unit Connect with the data extraction selection unit.

In the present invention, the data analysis module includes a text data analysis unit, a picture data analysis unit, a symbol data analysis unit and a video data analysis unit, the text data analysis unit is connected with the picture data analysis unit, and the picture data analysis unit is connected with the symbol data analysis unit connected, the symbol data analysis unit is connected with the video data analysis unit.

In the present invention, the data statistics module includes an abnormal data statistics unit, a word table statistics unit, a statistics summary unit and a result printing unit, the abnormal data statistics unit is connected with the word table statistics unit, the word table statistics unit is connected with the statistics summary unit, and the statistics The summary unit is connected with the result printing unit.

A method for evaluating the quality of power operation monitoring data, comprising the following steps:

S1: Start the evaluation system through the startup module, and then input the power operation monitoring data through the power information input module. When part of the data is missing, add data through the data addition module, and then the data analysis module analyzes the input power operation monitoring data. Data analysis At the same time, the module will copy a copy of the data and import it into the data storage module for storage. When the saved data needs to be extracted, the data information can be extracted only through the data extraction module;

S2: After the data analysis module analyzes, it is combined with the historical data module, and compared through the data comparison module. When there is abnormal data in the comparison result, the abnormality analysis module will carry out abnormal analysis on the abnormal data, and give an alarm through the abnormal alarm module;

S3: The non-abnormal data in the comparison result is fed back through the data feedback module, and then the judgment module judges the information fed back by the data feedback module. After the judgment is completed, the quality of the data is analyzed by the quality analysis module, and after the analysis is completed, the data statistics module is used. Carry out data statistics, and output the results of power operation monitoring data quality assessment through the result output module, and end the module to end the entire process.

In the present invention, in S1, when adding data through the data adding module, the text data is preferably added by the text data adding unit. After the text data is added, the image data is added by the image data adding unit. After the image data is added, the image data is added. The symbol data is added by the symbol data adding unit, and finally the video data is added.

In the present invention, in S1, when the data extraction module extracts data, the first choice is to input data information, and then the data extraction module queries the input information. After the query is completed, the query result will pop up, and finally the data to be extracted is selected by the data extraction selection unit. .

In the present invention, in S1, the data analysis module first analyzes the text information of the input data, analyzes the picture information of the input data after the text data information analysis is completed, and analyzes the symbol information of the input data after the picture information analysis is completed. After the information analysis is completed, the video information of the input data is analyzed.

In the present invention, in S3, the data statistics module first performs statistics on abnormal data, then performs data statistics on a plurality of word tables, summarizes after the statistics are completed, and prints the aggregated results through the result printing unit.

While the basic principles and main features and advantages of the present invention have been shown and described above, it will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but without departing from the spirit or essential aspects of the present invention. In the case of the characteristic features, the present invention can be implemented in other specific forms. Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the appended claims. All changes within the meaning and range of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

In addition, it should be understood that although this specification is described in terms of embodiments, not each embodiment only includes an independent technical solution, and this description in the specification is only for the sake of clarity, and those skilled in the art should take the specification as a whole , the technical solutions in each embodiment can also be appropriately combined to form other implementations that can be understood by those skilled in the art.

Claims (10)

1. A power operation monitoring data quality evaluation system comprises a starting module, a power information input module, a data adding module, a data analysis module, a data storage module, a data extraction module, a historical data module, a data comparison module, an abnormality analysis module, an abnormality alarm module, a data feedback module, a judgment module, a quality analysis module, a data statistics module, a result output module and an end module, and is characterized in that the starting module is connected with the power information input module, the data adding module is connected with the power information input module, the power information input module is connected with the data analysis module, the data analysis module is connected with the data storage module, the data storage module is connected with the data extraction module, and the data analysis module and the historical data module are both connected with the data comparison module, the data comparison module is connected with the abnormity analysis module, the abnormity analysis module is connected with the abnormity alarm module, the data comparison module is connected with the data feedback module, the data feedback module is connected with the judgment module, the judgment module is connected with the quality analysis module, the quality analysis module is connected with the data statistics module, the data statistics module is connected with the result output module, and the result output module is connected with the ending module.

2. The power operation monitoring data quality evaluation system according to claim 1, wherein the data adding module comprises a text data adding unit, a picture data adding unit, a symbol data adding unit and a video data adding unit, the text data adding unit is connected with the picture data adding unit, the picture data adding unit is connected with the symbol data adding unit, and the symbol data adding unit is connected with the video data adding unit.

3. The power operation monitoring data quality evaluation system according to claim 1, wherein the data extraction module comprises an input data information unit, a data query unit, a data pop-up unit and a data extraction selection unit, the input data information unit is connected with the data query unit, the data query unit is connected with the data pop-up unit, and the data pop-up unit is connected with the data extraction selection unit.

4. The power operation monitoring data quality evaluation system according to claim 1, wherein the data analysis module comprises a text data analysis unit, a picture data analysis unit, a symbol data analysis unit and a video data analysis unit, the text data analysis unit is connected with the picture data analysis unit, the picture data analysis unit is connected with the symbol data analysis unit, and the symbol data analysis unit is connected with the video data analysis unit.

5. The power operation monitoring data quality evaluation system according to claim 1, wherein the data statistics module comprises an abnormal data statistics unit, a word list statistics unit, a statistics summarizing unit and a result printing unit, the abnormal data statistics unit is connected with the word list statistics unit, the word list statistics unit is connected with the statistics summarizing unit, and the statistics summarizing unit is connected with the result printing unit.

6. A power operation monitoring data quality assessment method is characterized by comprising the following steps:

s1: the evaluation system is started through the starting module, then the power operation monitoring data are input through the power information input module, when part of data are omitted, the data are added through the data adding module, then the data analyzing module analyzes the input power operation monitoring data, the data analyzing module can copy a part of data and import the data into the data storage module for storage, and when the stored data need to be extracted, the data information can be extracted only through the data extracting module;

s2: the data analysis module is combined with the historical data module after analysis, the data comparison module is used for comparing, and when abnormal data exist in the comparison result, the abnormal analysis module is used for performing abnormal analysis on the abnormal data and giving an alarm through the abnormal alarm module;

s3: the non-abnormal data in the comparison result is fed back through the data feedback module, then the judgment module judges the information fed back by the data feedback module, the quality of the data is analyzed through the quality analysis module after the judgment is completed, the data statistics is performed through the data statistics module after the analysis is completed, the result output module outputs the result of the quality evaluation of the power operation monitoring data, and the module is finished to finish the whole process.

7. The method for evaluating the quality of the power operation monitoring data according to claim 6, wherein in S1, when data is added through the data adding module, the text data is preferably added through the text data adding unit, after the text data is added, the picture data is added through the picture data adding unit, after the picture data is added, the symbol data is added through the symbol data adding unit, and finally, the video data is added.

8. The method for evaluating the quality of power operation monitoring data according to claim 6, wherein in S1, when the data extraction module extracts data, data information is first input, then the data extraction module queries the input information, and after the query is completed, a query result is popped up, and finally the data to be extracted is selected through the data extraction selection unit.

9. The method for evaluating the quality of power operation monitoring data according to claim 6, wherein in S1, the data analysis module first analyzes the text information of the input data, analyzes the picture information of the input data after the text information is analyzed, analyzes the symbol information of the input data after the picture information is analyzed, and analyzes the video information of the input data after the symbol information is analyzed.

10. The method for evaluating the quality of the monitoring data of the power operation according to claim 6, wherein in the step S3, the data statistics module performs statistics on the abnormal data first, performs data statistics on a plurality of word tables, summarizes the abnormal data after the statistics is completed, and prints the summarized result through the result printing unit.

Images