Power enterprise multi-specialty data analysis system and method

Abstract

The invention discloses a multi-professional data analysis system for a power enterprise. The system comprises a data management server, a data input end and a data display window, the data input end is used for collecting and inputting multi-specialty data of each enterprise; the data management server is used for receiving multi-specialty data, analyzing data source composition of the data, comparing the data sources, creating a multi-specialty report, and scoring each column in the report; and the data display window is used for displaying multi-specialty reports to each enterprise data receiving end. According to the method, five major professional data of the power plant can be processed, sorted, permutated and combined, so that the data is ordered and systematized, the expression efficiency and the application efficiency of an information object are enhanced, power plant enterprises can conveniently know the production condition of each power plant, and the progress of the power plant industry is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of power plant data analysis, and more specifically, to a multi-professional data analysis system and method for a power enterprise. Background Art

[0002] Multi-professional data analysis of power plants is a complex and critical process, which involves data collection, processing and analysis in multiple professional fields such as power plant operation, equipment maintenance, energy management, marketing, etc.

[0003] The collected data often needs to be preprocessed, including data cleaning, sorting, and summarization. These steps can help remove illegal data, correct errors, and summarize the data for subsequent analysis. At present, statistical work lacks independent and professional system support. Data are scattered in the "corners" of various systems, making retrieval difficult. A large amount of statistical work still needs to be manually entered and summarized, resulting in low work efficiency. Full-time personnel often lack the energy to conduct in-depth business analysis of indicators. Therefore, it is necessary to establish an independent intelligent statistical and analysis platform to provide professional information support for the reporting and analysis of various professional data of power plants. Summary of the invention

[0004] The object of the present invention is to provide a multi-professional data analysis system and method for an electric power enterprise.

[0005] In order to achieve the above-mentioned object, the technical solution adopted by the present invention is as follows: a multi-professional data analysis system for electric power enterprises, the system comprising a data management server, a data input terminal and a data display window; The data input terminal is used to collect and input multi-professional data of each enterprise; The data management server is used to receive multi-professional data, analyze the data source composition, compare the data sources, create multi-professional reports, and score each column in the report; The data display window is used to display multi-professional reports to each enterprise data receiving terminal.

[0006] Preferably, the data input end includes a data acquisition module and an enterprise data output module, the data acquisition module is used to collect data on enterprise energy consumption, fuel consumption and production volume, and the enterprise data input module is used for enterprise staff to input the enterprise's marketing data and scientific and technological innovation project data.

[0007] Preferably, the data management server includes a storage module, a comparison module, an extraction module, a report management module and a control module; The storage module is used to store the multi-professional data of the enterprise and build a multi-professional database; The functions of the comparison module include statistically analyzing the same period values, changes and percentages of the same period date data of energy consumption, fuel consumption and production volume, and statistically analyzing the same period values, changes and percentages of the same period date compared with the same period date; comparing the completed values ​​of the enterprise production volume for each month of the year with the completed values ​​for the same period, performing correlation analysis on specific indicators, and constructing analysis reports; At the same time, the comparison module is also used to compare the analysis reports of multi-professional data of various enterprises; The extraction module is used to extract and mark the parts of the analysis report with inconsistent data values; The report management module is used to provide each profession with reporting function for reporting index data and report, which includes a scheduling module and a custom report module for filling in and analyzing the index data reported for the overall adjustment; The storage module, comparison module, extraction module and report management module are all connected to the control module.

[0008] Preferably, the enterprise marketing data includes electricity contract data, electricity fee settlement data and electricity sales data.

[0009] Preferably, the columns of the scientific and technological innovation project data include clean energy and renewable energy columns, intelligence and automation columns, efficient power generation and energy saving columns, safety and environment columns, energy management systems, smart grid columns and intellectual property innovation columns.

[0010] Preferably, the extraction module can also be used to extract the subject name, application scenario data and achievement transformation benefit data of each column in the science and technology innovation column data.

[0011] Preferably, an evaluation module is also included, which is used to compare the results transformation benefits and input costs of the scientific and technological innovation column, and to score from large to small according to the compared values. The larger the value, the higher the score. At the same time, the score is uploaded to the corresponding report.

[0012] A multi-professional data analysis method for an electric power enterprise comprises the following steps: First, multi-disciplinary data from each company was collected and input; Analyze the data source structure and compare the data sources, create multi-disciplinary reports, and score each column in the report; Display multi-disciplinary reports to each enterprise data receiver.

[0013] Preferably, the multi-professional data include data on the enterprise's energy consumption, fuel consumption, production volume, the enterprise's marketing data and scientific and technological innovation project data.

[0014] Preferably, the scoring is performed by comparing the results conversion benefits and input costs of the science and technology innovation column, and scoring is performed from large to small according to the compared values. The larger the value, the higher the score. At the same time, the score is uploaded to the corresponding report.

[0015] Compared with the prior art, the advantages of the present invention are: The present invention can process, organize, arrange and combine the five major professional data of power plants to make them orderly and systematic, enhance the performance and application efficiency of information objects, and facilitate various power plant enterprises to understand the production conditions of each power plant, thereby promoting the progress of the power plant industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 This is a framework diagram of a multi-professional data analysis system for a power enterprise according to the present invention; Figure 2 It is a chart of the multi-professional data report of the present invention. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0019] See also Figure 1 As shown, the present invention provides a multi-professional data analysis system for electric power enterprises, the system includes a data management server, a data input terminal and a data display window; The data input terminal is used to collect and input multi-professional data of each enterprise; The data management server is used to receive multi-professional data, analyze the data source composition, compare the data sources, create multi-professional reports, and score each column in the report; The data display window is used to display multi-professional reports to each enterprise data receiving terminal.

[0020] In this embodiment, the data input end includes a data acquisition module and an enterprise data output module. The data acquisition module is used to collect data on the enterprise's energy consumption, fuel consumption and production volume. The data acquisition module can be a monitoring sensor for each equipment in the enterprise's workshop. The enterprise data input module is used for enterprise staff to input the enterprise's marketing data and scientific and technological innovation project data.

[0021] In this embodiment, the data management server includes a storage module, a comparison module, an extraction module, a report management module and a control module; The storage module is used to store the multi-professional data of the enterprise and build a multi-professional database; The functions of the comparison module include statistically analyzing the same period values, changes and percentages of the same period date data of energy consumption, fuel consumption and production volume, and statistically analyzing the same period values, changes and percentages of the same period date compared with the same period date; comparing the completed values ​​of the enterprise production volume for each month of the year with the completed values ​​for the same period, performing correlation analysis on specific indicators, and constructing analysis reports; At the same time, the comparison module is also used to compare the analysis reports of multi-professional data of various enterprises; The extraction module is used to extract and mark the parts of the analysis report with inconsistent data values; The report management module is used to provide each profession with reporting function for reporting index data and report, which includes a scheduling module and a custom report module for filling in and analyzing the index data reported for the overall adjustment; The storage module, comparison module, extraction module and report management module are all connected to the control module.

[0022] In this embodiment, the enterprise marketing data includes power contract data, electricity fee settlement data and electricity sales data.

[0023] In this embodiment, the columns of the scientific and technological innovation project data include clean energy and renewable energy columns, intelligence and automation columns, efficient power generation and energy saving columns, safety and environment columns, energy management systems, smart grid columns and intellectual property innovation columns.

[0024] In this embodiment, the extraction module can also be used to extract the subject name, application scenario data and achievement transformation benefit data of each column in the science and technology innovation column data.

[0025] Such as the science and technology innovation column like Figure 2 As shown, in this embodiment, an evaluation module is also included. The evaluation module is used to compare the results transformation benefits and input costs of the science and technology innovation column, and score them from large to small according to the compared values. The larger the value, the higher the score. At the same time, the score is uploaded to the corresponding report.

[0026] A multi-professional data analysis method for an electric power enterprise comprises the following steps: First, multi-disciplinary data from each company was collected and input; Analyze the data source structure and compare the data sources, create multi-disciplinary reports, and score each column in the report; Display multi-disciplinary reports to each enterprise data receiver.

[0027] In this embodiment, the multi-professional data include data on the enterprise's energy consumption, fuel consumption, production volume, the enterprise's marketing data, and scientific and technological innovation project data.

[0028] In this embodiment, the scoring is performed by comparing the results transformation benefits and input costs of the science and technology innovation column, and scoring is performed from large to small according to the compared values. The larger the value, the higher the score. At the same time, the score is uploaded to the corresponding report.

[0029] Although the embodiments of the present invention are described in conjunction with the accompanying drawings, the patent owner may make various variations or modifications within the scope of the appended claims. As long as they do not exceed the protection scope described in the claims of the present invention, they should be within the protection scope of the present invention.

Claims

1. A multi-professional data analysis system for electric power enterprises, characterized by: The system includes a data management server, a data input terminal and a data display window; The data input terminal is used to collect and input multi-professional data of each enterprise; The data management server is used to receive multi-professional data, analyze the data source composition, compare the data sources, create multi-professional reports, and score each column in the report; The data display window is used to display multi-professional reports to each enterprise data receiving terminal.

2. The multi-professional data analysis system for electric power enterprises according to claim 1, characterized in that: The data input end includes a data acquisition module and an enterprise data output module. The data acquisition module is used to collect data on the enterprise's energy consumption, fuel consumption and production volume, and the enterprise data input module is used for enterprise staff to input the enterprise's marketing data and scientific and technological innovation project data.

3. The multi-professional data analysis system and method for electric power enterprises according to claim 1 is characterized by: The data management server includes a storage module, a comparison module, an extraction module, a report management module and a control module; The storage module is used to store the multi-professional data of the enterprise and build a multi-professional database; The functions of the comparison module include statistically analyzing the same period values, changes and percentages of the same period date data of energy consumption, fuel consumption and production volume, and statistically analyzing the same period values, changes and percentages of the same period date compared with the same period date; comparing the completed values ​​of the enterprise production volume for each month of the year with the completed values ​​for the same period, performing correlation analysis on specific indicators, and constructing analysis reports; At the same time, the comparison module is also used to compare the analysis reports of multi-professional data of various enterprises; The extraction module is used to extract and mark the parts of the analysis report with inconsistent data values; The report management module is used to provide each profession with reporting function for reporting index data and report, which includes a scheduling module and a custom report module for filling in and analyzing the index data reported for the overall adjustment; The storage module, comparison module, extraction module and report management module are all connected to the control module.

4. The multi-professional data analysis system for electric power enterprises according to claim 1 is characterized by: The enterprise marketing data includes electricity contract data, electricity fee settlement data and electricity sales data.

5. The multi-professional data analysis system for electric power enterprises according to claim 1 is characterized by: The columns of scientific and technological innovation project data include clean energy and renewable energy, intelligence and automation, efficient power generation and energy saving, safety and environment, energy management system, smart grid and intellectual property innovation.

6. The multi-professional data analysis system for electric power enterprises according to claim 1 is characterized by: The extraction module can also be used to extract the subject name, application scenario data and achievement transformation benefit data of each column in the science and technology innovation column data.

7. The multi-professional data analysis system for electric power enterprises according to claim 2 is characterized by: It also includes an evaluation module, which is used to compare the results transformation benefits and input costs of the science and technology innovation column, and to score them from large to small based on the compared values. The larger the value, the higher the score. At the same time, the score is uploaded to the corresponding report.

8. A method for analyzing multi-professional data of an electric power enterprise, implemented by using the multi-professional data analysis system of an electric power enterprise according to any one of claims 1 to 7, characterized in that: The following steps are involved: First, multi-disciplinary data from each company was collected and input; Analyze the data source structure and compare the data sources, create multi-disciplinary reports, and score each column in the report; Display multi-disciplinary reports to each enterprise data receiver.

9. A multi-professional data analysis method for electric power enterprises according to claim 8, characterized in that: The multi-professional data include data on enterprise energy consumption, fuel consumption, production volume, enterprise marketing data and scientific and technological innovation project data.

10. The multi-professional data analysis method for electric power enterprises according to claim 8, characterized in that: The scoring is achieved by comparing the results transformation benefits and input costs of the science and technology innovation column, and scoring is performed from large to small based on the compared values. The larger the value, the higher the score. The score is also uploaded to the corresponding report.

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