Device and method for automatically generating intelligent test and report in field of new energy power generation

Abstract

The invention discloses an intelligent test and report automatic generation device in the field of new energy power generation, and relates to the field of intelligent test, data acquisition and storage, data intelligent analysis, report automatic generation and automatic printing of required formats in the field of new energy power generation. The intelligent central processing unit is respectively connected with the man-machine interaction interface, the data storage module, the signal acquisition and processing module, the output instruction control module, the report printing unit and the power supply module through a plurality of communication interfaces, and the signal acquisition and processing module is connected with one or more sensors. The output instruction control module is connected with one or more switching value signal modules. The device and the method thereof can efficiently, accurately and safely provide intelligent testing and accurate data reports for the new energy power generation industry, rapid and safe processing and report automatic generation of a large amount of data in the new energy power generation field are achieved through an intelligent analysis technology, and safe development of the new energy power generation field is further promoted.

Description

Technical Field

[0001] The present invention relates to the field of intelligent testing, data collection and storage, intelligent data analysis and automatic report generation and printing in a required format in the field of renewable energy power generation, and in particular to an intelligent testing and report automatic generation device and method in the field of renewable energy power generation. Background Art

[0002] With the rapid development of the renewable energy power generation industry, safety issues have become increasingly prominent. In order to ensure the safe and stable operation of renewable energy power generation systems, it is necessary to test, monitor and analyze the operating status and operating data of power electronic equipment used in renewable energy power generation, such as wind power converters, photovoltaic inverters, and energy storage converters. However, traditional manual testing and manual report generation methods are time-consuming, inefficient, difficult to cope with complex and changing data scenarios, and prone to errors. At present, many test monitoring data analysis reports rely on manual data collection, analysis, and text writing. This process not only requires a lot of manpower, but is also inefficient and prone to errors. Manual testing and report preparation often rely on personnel capabilities, and sometimes cannot perform in-depth intelligent analysis of data and generate reasonable data reports. This makes the generated reports often lack the mining and interpretation of hidden information behind the data.

[0003] With the rapid development of my country's economy, the status of the renewable energy power generation industry has become increasingly prominent. Effective collection, data analysis and automatic report generation of test data related to power electronic equipment in the renewable energy power generation industry will help improve the operational efficiency of the renewable energy power generation industry, reduce costs and ensure the safety of power supply. With the continuous growth of data volume in the renewable energy power generation industry, the demand for data analysis reports that can automatically generate accurate, comprehensive and in-depth analysis is becoming increasingly urgent. Intelligent testing and automatic data analysis report generation algorithms can greatly improve work efficiency, reduce labor costs, and can quickly respond to data changes and provide valuable analysis results in a timely manner. Therefore, it is of great significance to study an intelligent testing and report automatic generation device and method in the field of renewable energy power generation. Summary of the invention

[0004] In order to solve the shortcomings and deficiencies in the prior art, the present application proposes an intelligent testing and report automatic generation device and method in the field of renewable energy power generation.

[0005] In order to solve the above technical problems, this application provides the following technical solutions:

[0006] An intelligent testing and automatic report generation device in the field of new energy power generation, characterized in that the system processing program specifically includes an intelligent central processing unit, a human-computer interaction interface, a data storage module, a signal acquisition processing module, an output instruction control module, a report printing unit and a power supply module,

[0007] The intelligent central processing unit is connected to a human-computer interaction interface, a data storage module, a signal acquisition and processing module, an output instruction control module, a report printing unit and a power supply module through multiple communication interfaces. The signal acquisition and processing module is connected to one or more sensors, and the output instruction control module is connected to one or more switch signal modules.

[0008] Furthermore, the human-computer interaction interface is connected to an intelligent voice input module.

[0009] Furthermore, the sensor includes a voltage sensor, a current sensor and a temperature sensor, and the switch signal module includes a speed controller and a position signal sensor.

[0010] Furthermore, the intelligent central processing unit includes a data intelligent analysis module, a report automatic generation module, and a report customization printing module.

[0011] The data intelligent analysis module: performs intelligent analysis based on the collected data, first performs feature extraction, extracts key features from the pre-processed data according to the pre-set feature extraction rules, analyzes the correlation, trend and law of the data, and then performs statistical analysis to calculate a variety of statistical indicators as key information;

[0012] The automatic report generation module: automatically builds according to existing report templates or user customization requirements, obtains batch collected data to be analyzed through the data interface, extracts relevant data from various data according to set conditions or predefined rules, and the report generation process is to extract feature data for modeling and reconstruction, extract key information, organize the extracted key information according to the report template, and generate a structured, visual report in a specified format;

[0013] The report customization printing module provides a human-computer interaction interface to facilitate users to input instructions, adjust and view reports, and finally display report results, display the processed report to the user, and further print the report into the final form required by the user.

[0014] A method for intelligent testing and automatic report generation in the field of renewable energy power generation, characterized in that the steps are as follows:

[0015] S1 initialization, setting the operation mode and parameters; input the start-up operation command through the human-computer interaction interface, and set the operation power;

[0016] S2 data signal acquisition, acquisition of data, including current, voltage, temperature and switch signal;

[0017] S3 data signal noise reduction processing, pre-processing the collected data, including data cleaning to remove noise, duplicate data and outliers in the data;

[0018] S4 data signal display processing;

[0019] S5 data intelligent analysis, based on the collected data, first performs feature extraction, and extracts key features from the pre-processed data according to the pre-set feature extraction rules;

[0020] S6 report is automatically generated, and is automatically constructed according to existing report templates or user-customized requirements. It obtains batch collected data to be analyzed through the data interface, and extracts relevant data from various data according to set conditions or predefined rules. The report generation process is to extract feature data for modeling and reconstruction, extract key information, organize the extracted key information according to the report template, and generate a structured, visual report in a specified format;

[0021] S7 prints reports in the target format, provides a human-computer interface to input commands, adjusts and views automatically generated reports, displays final reports, and prints reports in their final form.

[0022] Furthermore, for acquiring the collected data described in S2, the minimum sampling rate is 1 kHz and the maximum sampling rate is 1 MHz.

[0023] Furthermore, the data cleaning processing method described in S3 includes deleting outliers, data smoothing, outlier detection, moving window method and moving average.

[0024] Furthermore, in the data intelligent analysis described in S5, the various statistical indicators include mean, median, standard deviation, percentage, effective value, maximum value, minimum value, 95% probability maximum value, and volatility.

[0025] Furthermore, it is characterized in that the report in the specified format described in S6 includes a Word report and a PDF report; and the report in the final form described in S7 includes an electronic version or a paper version.

[0026] An electronic device, characterized in that the electronic device includes a memory and a processor, the memory stores a computer program, and the processor is used to call and run the computer program stored in the memory to execute any of the above-mentioned intelligent testing and automatic report generation methods in the field of new energy power generation.

[0027] The advantages and positive effects of the present invention are:

[0028] This device and method can efficiently, accurately and safely provide intelligent testing and accurate data reporting for the renewable energy power generation industry. Through intelligent analysis technology, it can realize the rapid and safe processing of large amounts of data in the renewable energy power generation field and automatic report generation, providing big data support for further promoting the safe development of the renewable energy power generation field. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0030] Figure 1 It is a schematic diagram of the device structure.

[0031] Figure 2 The invention is a flow chart of an intelligent testing and automatic report generating device and a method thereof.

[0032] Figure 3 It is a schematic diagram of the algorithm for intelligent data analysis and automatic report generation. DETAILED DESCRIPTION

[0033] In order to make the structure and advantages of the present invention more clear, the structure of the present invention will be further described below in conjunction with the accompanying drawings.

[0034] The schematic diagram of the structure of the device of the present invention is as follows Figure 1 As shown, it includes an intelligent central processing unit, a human-computer interaction interface, a signal acquisition and processing module, an output instruction control module, and a report printing unit.

[0035] A communication interface of the intelligent central processing unit is connected to the human-machine interaction interface, and an input interface of the human-machine interaction interface is also connected to the intelligent voice input module. The human-machine interaction interface includes a touch screen, a keyboard or other input modules for inputting setting parameters and operating instructions; through intelligent voice input or human-machine interaction interface instructions, the operation instructions of new energy power generation electronic equipment such as energy storage converter are sent through various external communication interfaces. Among them, the intelligent voice input module converts various voice instructions such as start-stop and power operation input by human voice into binary instruction codes that can be recognized by the intelligent central processing unit through the intelligent voice recognition instruction function.

[0036] The intelligent central processing unit automatically operates the new energy power generation electronic equipment according to the instruction target.

[0037] The intelligent central processing unit is connected to the data storage module for storing the collected data and preset instructions;

[0038] The intelligent central processing unit is also connected to a variety of signal acquisition and processing and various sensor devices, and automatically collects operating data through the sensor devices. The sensor devices include current sensors, voltage sensors, temperature sensors, switch signals, etc.

[0039] The intelligent central processing unit of this embodiment is connected to a signal acquisition processing module, which communicates with a voltage / current sensor and a temperature sensor through a DI AI UI input interface for data signal acquisition; the signal acquisition processing module. The signal acquisition processing module can set the sampling rate according to different instructions and collected data, with a minimum sampling rate of 1kHz and a maximum sampling rate of 1MHz, and pre-process the collected data, including data cleaning to remove noise, duplicate data and abnormal values ​​in the data. If there is a data signal that is obviously not in line with common sense, such as a value that greatly exceeds the normal range, it will be regarded as an abnormal value and processed.

[0040] The intelligent central processing unit is communicatively connected with an output instruction control module, and the output instruction control module is connected with a rotation speed / position sensor and a switch signal sensor through a DOAO high-frequency pulse interface.

[0041] The intelligent central processing unit is also connected to various external communication interfaces, and is connected to the report printing unit through the external communication interface;

[0042] The intelligent central processing unit is connected with a power supply module, and the power supply module is connected with a battery module.

[0043] The intelligent central processing unit includes a data intelligent analysis module, a report automatic generation module, and a report customization printing module.

[0044] Data intelligent analysis module: intelligent analysis is performed based on the collected data. Feature extraction is performed first. According to the pre-set feature extraction rules, key features are extracted from the pre-processed data so that advanced data mining, deep machine learning and other algorithms can be used for analysis to obtain the correlation, trend and law of the data. Then statistical analysis is performed to calculate various statistical indicators, such as mean, median, standard deviation, percentage, effective value, maximum value, minimum value, 95% probability maximum value, fluctuation, etc. Specifically, when analyzing the DC current data of the energy storage converter, the mean, maximum value and minimum value of the DC current are calculated to understand the fluctuation level of the DC current of the energy storage converter. The correlation between voltage data and current data is further analyzed through correlation analysis. For example, by analyzing the functional relationship between voltage data and current data, the influence of voltage data on current data can be explored. The trend of current data changes over time is analyzed through trend analysis, such as analyzing the trend of existing current data prediction.

[0045] Automatic report generation module: Automatically build according to existing report templates or user-customized requirements, including report structure, style, charts, etc. Obtain batch data to be analyzed through the data interface, extract relevant data from various data sources according to set conditions or predefined rules, data types include but are not limited to database data, text data, pictures, audio and video, etc. The report generation process is to extract feature data for modeling and reconstruction, extract key information, use intelligent program processing technology, extract key data and related information from the data, organize the extracted key information according to the report template, and generate structured, visual, easy-to-understand Word reports or PDF and other specified formats. At the same time, according to the characteristics of the data and the analysis results, intelligently generate reasonable text descriptions. For example, when performing frequency-power analysis, relevant data can be extracted from the storage data module according to conditions such as frequency range and power factor, and described according to the size of frequency and power values.

[0046] Report custom printing module: By providing a human-computer interaction interface, it is convenient for users to input instructions, adjust and view reports. According to the type of selected data and specific needs, intelligently recommend and select appropriate report templates. For example, there are corresponding report templates for high and low voltage ride-through data, and the instruction requirement template can also be intelligently output according to the human-computer interaction interface. Then fill in the report content, and fill the graphic data and conclusions obtained by the report automatic generation module into the corresponding position of the report template. You can choose the chart generation method, such as bar charts, line charts, pie charts, thermal distribution diagrams, etc., and insert the charts into the appropriate positions in the report to intuitively display the data relationship and analysis results. Finally, the report results are displayed, and a series of processed reports are displayed to the user in a form that meets the user's needs, and further printed into the final form required by the user, which can be an electronic version or a paper version.

[0047] The process of an intelligent test and report automatic generation method in this embodiment is as follows: Figure 2 As shown, the following steps are included:

[0048] S1 initialization, setting operation mode and parameters;

[0049] The startup instructions of the energy storage inverter are transmitted to the central processing unit through the human-computer interaction interface and intelligent voice input, and the rated power operation is set, and information is exchanged with the energy storage inverter through the external multiple communication interface Ethernet port.

[0050] S2 data signal acquisition;

[0051] The data acquisition and storage module collects the voltage and current raw data according to the preset rules in the knowledge rules, such as voltage adaptability, and sets the minimum sampling rate to 1kHz.

[0052] S3 data signal noise reduction processing;

[0053] Preprocess the collected data, including data cleaning to remove noise, duplicate data and outliers. If there are data signals that are obviously unreasonable, such as those that exceed the corresponding thresholds outside the set rated power range, they will be regarded as outliers and processed.

[0054] The current value calculation formula is:

[0055]

[0056] Where:

[0057] I is the current, in A;

[0058] P is the rated power in kW;

[0059] U is voltage, unit is V.

[0060] K is a coefficient with a value of 1.5.

[0061] The methods for processing outliers include deleting outliers, data smoothing, outlier detection, moving window method and moving average. Data smoothing refers to the technology used to eliminate unwanted noise in the data, while outlier detection is used to identify data points that are significantly different from the rest of the data. The moving window method is usually used to represent adjacent points in the data from a statistical perspective. Moving average is a common data smoothing technique that slides the window along the data and calculates the mean of each point in the window at the same time. This can help eliminate non-significant changes in the collected current value from one data point to the next data point. The data acquisition module is responsible for collecting raw data from the AC and DC ends of the energy storage converter. The data preprocessing cleans, converts and integrates the collected data, cleans, removes duplication, normalizes and other operations on the raw data to ensure the accuracy and consistency of the data. After data preprocessing, the data acquisition module stores the raw data of voltage and current. The storage methods include relational databases such as MySQL and Oracle, as well as non-relational databases such as MongoDB, file systems such as CSV and Excel files.

[0062] S4 data signal display processing;

[0063] The processed signal is transmitted to the human-computer interaction interface for display;

[0064] S5 data intelligent analysis;

[0065] The collected voltage and current data are analyzed intelligently. Feature extraction is performed first, and feature extraction is performed according to pre-set knowledge rules. For example, the voltage data is analyzed in positive sequence. The analysis formula is as follows:

[0066]

[0067] Where: U + is the positive sequence component of the fundamental voltage;

[0068] NP is the number of voltage acquisition phases;

[0069] a is an operator;

[0070] u is the actual collected voltage;

[0071] i is a natural number

[0072] Extract key features from data analysis so that machine learning algorithms can be used to obtain the correlation, trend and regularity of the data, and then perform statistical analysis to calculate various statistical indicators of voltage data, such as mean, median, standard deviation, percentage, effective value, maximum value, minimum value, 95% probability maximum value, volatility, etc.

[0073] S6 report is automatically generated;

[0074] According to the existing report templates in the knowledge rules, including report structure, style, charts, etc. Through the acquisition of target data, key information is extracted, key data and related information are extracted from the data, and the extracted key information is organized according to the report template to generate a structured, visual, and easy-to-understand Word report. At the same time, according to the characteristics of the data and the analysis results, a reasonable text description is intelligently generated.

[0075] For example, when performing voltage-power analysis, relevant data can be extracted from the storage data module according to conditions such as voltage range and power, and described according to the size of voltage deviation and power value. The generated report example is as follows:

[0076]

[0077] Data intelligent analysis and report automatic generation algorithm such as Figure 3 shown.

[0078] S7 prints target format report.

[0079] For the voltage-power report template, you can select the chart generation method, such as bar chart, line chart, pie chart, thermal distribution chart, etc., and insert the chart into the appropriate position in the report to intuitively display the data relationship and analysis results. Finally, the report results are displayed and further printed into the pdf electronic version required by the user.

[0080] The present application also provides an electronic device, which may include: at least one processor and at least one memory.

[0081] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory.

[0082] Optionally, the processor can be implemented in at least one hardware form of digital signal processing (DSP), field programmable gate array (FPGA), and programmable logic array (PLA). The processor can integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display; and the modem is used to process wireless communications. It is understandable that the above-mentioned modem may not be integrated into the processor, but may be implemented separately through a chip.

[0083] Among them, the memory may include a random access memory (Random Access Memory, RAM) or a read-only memory (Read-Only Memory). Optionally, the memory includes a non-transitory computer-readable storage medium. The memory can be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory may also be optionally at least one storage device located away from the aforementioned processor. The memory as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for a small incision thyroid surgery image acquisition system.

[0084] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0085] In addition, each functional unit in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0086] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0087] The above descriptions are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent testing and automatic report generation device in the field of new energy power generation, characterized in that: It includes an intelligent central processing unit, a human-computer interaction interface, a data storage module, a signal acquisition processing module, an output instruction control module, a report printing unit and a power supply module. The intelligent central processing unit is connected to the human-computer interaction interface, the data storage module, the signal acquisition processing module, the output instruction control module, the report printing unit and the power supply module through multiple communication interfaces. The signal acquisition processing module is connected to one or more sensors, and the output instruction control module is connected to one or more switch signal modules.

2. According to claim 1, a device for intelligent testing and automatic report generation in the field of renewable energy power generation, characterized in that: The human-computer interaction interface is connected to an intelligent voice input module.

3. According to claim 1, a device for intelligent testing and automatic report generation in the field of renewable energy power generation, characterized in that: The sensors include a voltage sensor, a current sensor and a temperature sensor, and the switch signal module includes a speed controller and a position signal sensor.

4. According to claim 1, a device for intelligent testing and automatic report generation in the field of renewable energy power generation, characterized in that: The intelligent central processing unit includes a data intelligent analysis module, a report automatic generation module, and a report customization printing module. The data intelligent analysis module: performs intelligent analysis based on the collected data, first performs feature extraction, extracts key features from the pre-processed data according to the pre-set feature extraction rules, analyzes the correlation, trend and law of the data, and then performs statistical analysis to calculate a variety of statistical indicators as key information; The automatic report generation module: automatically builds according to existing report templates or user customization requirements, obtains batch collected data to be analyzed through the data interface, extracts relevant data from various data according to set conditions or predefined rules, and the report generation process is to extract feature data for modeling and reconstruction, extract key information, organize the extracted key information according to the report template, and generate a structured, visual report in a specified format; The report customization printing module provides a human-computer interaction interface to facilitate users to input instructions, adjust and view reports, and finally display report results, display the processed report to the user, and further print the report into the final form required by the user.

5. A method for intelligent testing and automatic report generation in the field of new energy power generation, characterized in that: Here are the steps: S1 initialization, setting the operation mode and parameters; input the start-up operation command through the human-computer interaction interface, and set the operation power; S2 data signal acquisition, acquisition of data, including current, voltage, temperature and switch signal; S3 data signal noise reduction processing, pre-processing the collected data, including data cleaning to remove noise, duplicate data and outliers in the data; S4 data signal display processing; S5 data intelligent analysis, based on the collected data, first performs feature extraction, and extracts key features from the pre-processed data according to the pre-set feature extraction rules; S6 report is automatically generated, and is automatically constructed according to existing report templates or user-customized requirements. It obtains batch collected data to be analyzed through the data interface, and extracts relevant data from various data according to set conditions or predefined rules. The report generation process is to extract feature data for modeling and reconstruction, extract key information, organize the extracted key information according to the report template, and generate a structured, visual report in a specified format; S7 prints reports in the target format, provides a human-computer interface to input commands, adjusts and views automatically generated reports, displays final reports, and prints reports in their final form.

6. According to claim 4, a method for intelligent testing and automatic report generation in the field of renewable energy power generation is characterized in that: The acquisition data described in S2 has a minimum sampling rate of 1 kHz and a maximum sampling rate of 1 MHz.

7. According to claim 4, a method for intelligent testing and automatic report generation in the field of renewable energy power generation is characterized in that: The data cleaning processing methods described in S3 include deleting outliers, data smoothing, outlier detection, moving window method and moving average.

8. According to claim 4, a method for intelligent testing and automatic report generation in the field of renewable energy power generation is characterized in that: In the data intelligent analysis described in S5, the various statistical indicators include mean, median, standard deviation, percentage, effective value, maximum value, minimum value, 95% probability maximum value, and volatility.

9. The intelligent testing and automatic report generation device in the field of new energy power generation according to claim 4 is characterized in that: The report in the specified format described in S6 includes Word report and PDF report; the report in the final form described in S7 includes electronic version or paper version.

10. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor is used to call and run the computer program stored in the memory to execute the intelligent testing and automatic report generation method in the field of new energy power generation as described in any one of claims 5 to 9.

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