Electric energy metering analysis method and device for new energy access state

Abstract

The invention discloses an electric energy metering analysis method and device for a new energy access state, and the method comprises the steps: collecting to-be-processed electric energy data in response to an electric energy metering signal, carrying out the related parameter configuration of the to-be-processed electric energy data, taking the configured electric energy data as archive information, and carrying out the archive processing, meanwhile, a distributed concurrent processing algorithm and a parallel computing model algorithm are called to sequentially and respectively carry out distributed concurrent processing and electric energy metering analysis processing on the archive information, and then corresponding electric energy metering result data are output. According to the invention, the electric energy data is acquired through the electric energy metering signal, so that the consideration of individual data acquisition frequency standard is realized, and the real-time control of the electric energy application condition of the system is also realized; and according to the automatic metering electric energy data of the metering signal, the electric energy of the new energy access state is effectively and accurately metered, abundant platform services are further provided for different power users, and the experience feeling of the different power users is improved.

Description

Technical Field

[0001] The present invention relates to the field of energy storage and power generation, and in particular to an electric energy metering and analysis method and device for the access status of new energy sources. Background Art

[0002] The electric energy metering management system is centered on the management of the ledger of electric energy metering instruments, which includes not only the management of the operation status of the equipment installation, rotation, defects, scrapping, calibration, etc., but also the management of metering personnel and metering standards. The main functions of the electric energy metering management system include: System settings: unified classification and coding of the billing meter types, metering instrument codes, departments, work teams, and groups of power supply companies involved in the electric energy metering management system; Code management: divided into standard code and user code management, among which the standard code refers to the code designated by the relevant superior departments and standard organizations, mainly including the standard classification of metering instruments, power supply classification, calibration type, calibration cycle, device category, device type, etc., while the user code refers to the relevant codes defined by the user, including the type of transformer, meter manufacturer, Calibrator, meter model, etc.; Registration and card creation: registration and management of newly purchased instruments and existing measuring instruments. The registration content includes the manufacturer, type, accuracy, calibration type, calibration cycle, installation status, usage, scrapping status, etc. of the instrument. At the same time, the power supply company also inputs the user of the instrument, connected distribution transformer, phase difference, multiple and other detailed information for the most used electric energy meters, voltage and current transformers and other instruments; Operation management: automatic generation of departmental metering instrument rotation report, calculation of the remaining power generated by the replacement of instruments, and establishment of an interface with the electricity fee and power management system.

[0003] However, the electric energy metering and analysis system provided by the prior art cannot effectively and accurately measure the electric energy in the state of new energy access when in use, cannot consider the frequency standard of individual data collection, cannot realize real-time data sharing, cannot provide rich platform services for different power users, and at the same time, it takes up a lot of computer memory space, cannot store massive information data, and cannot meet the power users' demand for storage space at the same time. It is impossible to grasp the application of electric energy anytime and anywhere, cannot reflect the amount of electric energy used in real time, and cannot improve the accuracy of electric energy metering management. Summary of the invention

[0004] The present invention provides a method and device for measuring and analyzing electric energy in the state of access to new energy sources, so as to achieve the technical effect of accurately measuring the electric energy in the state of access to new energy sources and satisfying the storage space requirements of power users.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides an electric energy metering analysis method for the new energy access status, comprising the following steps:

[0006] Responding to the electric energy metering signal, collecting the electric energy data to be processed according to the electric energy metering signal, configuring the relevant parameters of the electric energy data to be processed, and archiving the configured electric energy data as archive information;

[0007] At the same time, the distributed concurrent processing algorithm and the parallel computing model algorithm are called to respectively perform distributed concurrent processing and electric energy metering analysis processing on the archive information in turn, and output and display the corresponding electric energy metering result data.

[0008] The electric energy metering analysis method provided by the present invention responds to the electric energy metering signal triggered by the user, collects the corresponding electric energy data, i.e., the electric energy data to be processed, by analyzing the information contained in the electric energy metering signal, and performs relevant parameter configuration and data preprocessing on the collected electric energy data to be processed, so that the processed data can be stored in the system as archive information for subsequent call processing by the system. At the same time, the collection of corresponding data through the electric energy metering signal input by the user not only realizes the consideration of the frequency standard of individual data collection, but also realizes the real-time control of the electric energy application of the system.

[0009] After completing the archiving of the archive information, the system will call the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed concurrent processing and electric energy metering analysis on the archive information respectively, and then obtain and output the electric energy metering result data calculated based on the archive information, realizing real-time feedback on the amount of electric energy used, and improving the accuracy of electric energy metering management. The automatic metering process of electric energy data in response to the above signal provided by the present invention can effectively accurately measure the electric energy in the access state of new energy, expand the application scope of the system, and at the same time concentrate a large amount of electric power metering information resources on the virtualization platform, and further provide rich platform services for different power users, improving the experience of different power users.

[0010] As a preferred example, the collecting of the electric energy data to be processed according to the electric energy metering signal is specifically:

[0011] Parse the electric energy metering signal to obtain the corresponding sensor number and collection time to be collected, and traverse and screen according to the sensor number to be collected to determine the detection database of the sensor to be collected that corresponds one-to-one with the sensor number to be collected;

[0012] The corresponding electric energy data is retrieved from the detection database according to the acquisition time, and the electric energy data is supplemented with missing values ​​and normalized, and the processed electric energy data is output as the electric energy data to be processed.

[0013] In order to effectively and accurately measure the electric energy in the state of new energy access, the electric energy metering method provided by the present invention will obtain the sensor number and collection time to be collected by analyzing the electric energy metering signal, that is, the user needs to query the number of the electric energy sensor corresponding to the device, and the user needs to query the specific time when the sensor monitors the electric energy. Then, according to the determined sensor number, the detection database corresponding to the corresponding sensor is selected, that is, the database for the sensor to collect and store electric energy data, and the electric energy data of the corresponding time in the database is extracted according to the determined collection time, and the extracted data is further preprocessed according to the type of sensor, including missing value supplementation and normalization processing, to provide a data basis for the subsequent system to configure parameters for the electric energy data to be processed.

[0014] As a preferred example, the relevant parameters of the electric energy data to be processed are configured, and the configured electric energy data is archived as archive information, specifically:

[0015] Confirming the data type and data authority of the electric energy data to be processed, and classifying and clustering the electric energy data to be processed according to the confirmed data type and data authority to obtain several groups of data to be processed;

[0016] For each group of data in the several groups of data to be processed, user authority configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup configuration are performed according to the corresponding data type and data authority, and the data after the configuration is completed is archived as the archival information.

[0017] After obtaining the electric energy data to be processed, the system will determine the type and authority of the electric energy data to be processed, so as to determine the data type of the data and the corresponding user authority, and then classify and cluster the electric energy data to be processed according to the determined data type and user authority, and output several groups of data to be processed so that the system can perform subsequent parameter configuration for each group of data according to the determined classification.

[0018] As a preferred example, the calling of the distributed concurrent processing algorithm and the parallel computing model algorithm respectively sequentially performs distributed concurrent processing and electric energy metering analysis processing on the archive information, specifically:

[0019] Parse and retrieve the corresponding archive information according to the electric energy metering signal, and call the distributed concurrent processing algorithm to perform distributed concurrent processing on the archive information, so that the archive information is evenly divided into a plurality of archive data groups;

[0020] The parallel computing model algorithm is called to perform concurrent computing on the several groups of archive data groups, and the parallel computing model algorithm is simplified by simplifying the data model, so that the several groups of archive data groups are processed for electric energy metering by the simplified model, and the corresponding electric energy metering result data is output.

[0021] After completing the archiving of the archive information, the system can retrieve the archive information from the archive information storage according to the electric energy metering signal triggered by the user and input it into the distributed concurrent processing algorithm. The distributed concurrent processing algorithm divides the archive information into several groups of archive data groups, and realizes synchronous concurrent calculation of the several groups of archive data groups through the parallel computing model algorithm. At the same time, the simplified data model will be called to simplify the parallel computing model, so as to further improve the calculation efficiency and accuracy of the model, and then improve the accuracy of the electric energy metering result data calculated and output by the simplified model.

[0022] Accordingly, an embodiment of the present invention provides an electric energy metering and analysis device for the access status of new energy sources, the electric energy metering and analysis device comprising a signal response module and an electric energy metering module;

[0023] The signal response module is used to respond to the electric energy metering signal, collect the electric energy data to be processed according to the electric energy metering signal, perform relevant parameter configuration and data preprocessing on the electric energy data to be processed, and archive the processed electric energy data as archive information;

[0024] The electric energy metering module is used to call the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed file calling and electric energy metering analysis processing on the archive information in turn, and output and display the corresponding electric energy metering result data.

[0025] As a preferred example, the signal response module collects the electric energy data to be processed according to the electric energy metering signal, specifically:

[0026] Parse the electric energy metering signal to obtain the corresponding sensor number and collection time to be collected, and traverse and screen according to the sensor number to be collected to determine the detection database of the sensor to be collected that corresponds one-to-one with the sensor number to be collected;

[0027] The corresponding electric energy data to be processed is retrieved from the detection database according to the acquisition time, and the electric energy data to be processed is screened and clustered according to the corresponding sensor type.

[0028] As a preferred example, the signal response module performs relevant parameter configuration and data preprocessing on the electric energy data to be processed, and archives the processed electric energy data as archive information, specifically:

[0029] Confirming the data type and data authority of the electric energy data to be processed, and classifying and clustering the electric energy data to be processed according to the confirmed data type and data authority to obtain several groups of data to be processed;

[0030] For each group of data in the several groups of data to be processed, user authority configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup configuration are performed according to the corresponding data type and data authority, and the data after the configuration is completed is archived as the archival information.

[0031] As a preferred example, the electric energy metering module calls the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed concurrent processing and electric energy metering analysis processing on the archive information respectively, specifically:

[0032] Parse and retrieve the corresponding archive information according to the electric energy metering signal, and call the distributed concurrent processing algorithm to perform distributed concurrent processing on the archive information, so that the archive information is evenly divided into a plurality of archive data groups;

[0033] The parallel computing model algorithm is called to perform concurrent computing on the several groups of archive data groups, and the parallel computing model algorithm is simplified by simplifying the data model, so that the several groups of archive data groups are processed for electric energy metering by the simplified model, and the corresponding electric energy metering result data is output.

[0034] Correspondingly, the present invention also provides an electric energy metering and analysis system for the access status of new energy sources, the electric energy metering and analysis system comprising a memory, a processor, and a computer program stored on the memory and running on the processor, and the processor implements any one of the above-mentioned electric energy metering and analysis methods for the access status of new energy sources when processing the computer program.

[0035] Correspondingly, the present invention also provides a storage medium, on which a computer program is stored. The computer program is called and executed by a processor to implement any of the above-mentioned methods for analyzing electric energy metering for the access status of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 : A flow chart of an embodiment of the electric energy metering and analysis method for the new energy access status provided by the present invention;

[0037] Figure 2 : A structural schematic diagram of an embodiment of an electric energy metering and analysis device for a new energy access state provided by the present invention;

[0038] Figure 3: A structural schematic diagram of an embodiment of the automatic analysis system for electric energy metering in the new energy access status provided by the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Embodiment 1

[0041] Please refer to Figure 1 , which is a flow chart of an embodiment of the electric energy metering analysis method for the new energy access status provided by the present invention, including steps 101 to 102, each step is specifically as follows:

[0042] Step 101: responding to an electric energy metering signal and collecting electric energy data to be processed according to the electric energy metering signal, configuring relevant parameters for the electric energy data to be processed, and archiving the configured electric energy data as archive information.

[0043] The electric energy metering analysis method provided by the embodiment of the present invention responds to the electric energy metering signal triggered by the user, collects the corresponding electric energy data, i.e., the electric energy data to be processed, by parsing the information contained in the electric energy metering signal, and performs relevant parameter configuration and data preprocessing on the collected electric energy data to be processed, so that the processed data can be stored in the system as archive information for subsequent call processing by the system. At the same time, the collection of corresponding data through the electric energy metering signal input by the user not only realizes the consideration of the frequency standard of individual data collection, but also realizes the real-time control of the electric energy application of the system.

[0044] Specifically, the method of collecting the electric energy data to be processed according to the electric energy metering signal in this embodiment is as follows:

[0045] Parse the electric energy metering signal to obtain the corresponding sensor number and collection time to be collected, and traverse and screen according to the sensor number to be collected to determine the detection database of the sensor to be collected that corresponds one-to-one with the sensor number to be collected;

[0046] The corresponding electric energy data is retrieved from the detection database according to the acquisition time, and the electric energy data is supplemented with missing values ​​and normalized, and the processed electric energy data is output as the electric energy data to be processed.

[0047] In order to effectively and accurately measure the electric energy in the state of new energy access, the electric energy metering method provided in the embodiment of the present invention will obtain the sensor number and collection time to be collected by analyzing the electric energy metering signal, that is, the user needs to query the number of the electric energy sensor corresponding to the device, and the user needs to query the specific time when the sensor monitors the electric energy. Then, according to the determined sensor number, the detection database corresponding to the corresponding sensor is selected, that is, the database for the sensor to collect and store electric energy data, and the electric energy data of the corresponding time in the database is extracted according to the determined collection time, and the extracted data is further preprocessed according to the type of sensor, including missing value supplementation and normalization processing, to provide a data basis for the subsequent system to configure parameters for the electric energy data to be processed.

[0048] Furthermore, in this embodiment, the relevant parameters of the electric energy data to be processed are configured, and the configured electric energy data is archived as archive information, specifically:

[0049] Confirming the data type and data authority of the electric energy data to be processed, and classifying and clustering the electric energy data to be processed according to the confirmed data type and data authority to obtain several groups of data to be processed;

[0050] For each group of data in the several groups of data to be processed, user authority configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup configuration are performed according to the corresponding data type and data authority, and the data after the configuration is completed is archived as the archival information.

[0051] After obtaining the electric energy data to be processed, the system will determine the type and authority of the electric energy data to be processed, so as to determine the data type of the data and the corresponding user authority, and then classify and cluster the electric energy data to be processed according to the determined data type and user authority, and output several groups of data to be processed so that the system can perform subsequent parameter configuration for each group of data according to the determined classification.

[0052] Step 102: calling the distributed concurrent processing algorithm and the parallel computing model algorithm to respectively perform distributed concurrent processing and electric energy metering analysis processing on the archive information in turn, and outputting and displaying the corresponding electric energy metering result data.

[0053] After completing the archiving of the archive information, the system will call the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed concurrent processing and electric energy metering analysis on the archive information respectively, and then obtain and output the electric energy metering result data calculated based on the archive information, realizing real-time feedback on the amount of electric energy used, and improving the accuracy of electric energy metering management. The automatic metering process of electric energy data in response to the above signal provided by the present invention can effectively accurately measure the electric energy in the access state of new energy, expand the application scope of the system, and at the same time concentrate a large amount of electric power metering information resources on the virtualization platform, and further provide rich platform services for different power users, improving the experience of different power users.

[0054] Specifically, the distributed concurrent processing algorithm and the parallel computing model algorithm are called in this embodiment to perform distributed concurrent processing and electric energy metering analysis processing on the archive information respectively, specifically:

[0055] Parse and retrieve the corresponding archive information according to the electric energy metering signal, and call the distributed concurrent processing algorithm to perform distributed concurrent processing on the archive information, so that the archive information is evenly divided into a plurality of archive data groups;

[0056] The parallel computing model algorithm is called to perform concurrent computing on the several groups of archive data groups, and the parallel computing model algorithm is simplified by simplifying the data model, so that the several groups of archive data groups are processed for electric energy metering by the simplified model, and the corresponding electric energy metering result data is output.

[0057] After completing the archiving of the archive information, the system can retrieve the archive information from the archive information storage according to the electric energy metering signal triggered by the user and input it into the distributed concurrent processing algorithm. The distributed concurrent processing algorithm divides the archive information into several groups of archive data groups, and realizes synchronous concurrent calculation of the several groups of archive data groups through the parallel computing model algorithm. At the same time, the simplified data model will be called to simplify the parallel computing model, so as to further improve the calculation efficiency and accuracy of the model, and then improve the accuracy of the electric energy metering result data calculated and output by the simplified model.

[0058] In addition, the embodiment of the present invention also provides a new energy access state electric energy metering automatic analysis system, referring to Figure 3 , Figure 3 This is a schematic diagram of an embodiment of the automatic analysis system for measuring electric energy in the state of access to new energy provided by the present invention. Figure 3 As shown, the new energy access state electric energy metering automatic analysis system includes a collection management module, an operation platform module, a processing layer module and a business application management module. Figure 3The provided electric energy metering automatic analysis system enables users to share data in real time and centralize a large amount of electric energy metering information resources on a virtualized platform, and then enjoy different electric energy related services through the platform. At the same time, the system can also store massive amounts of information data, meeting the needs of power users for storage space, and can grasp the application of electric energy anytime and anywhere, reflecting the amount of electric energy used in real time, and can collect the electricity consumption of different locations within the jurisdiction, improving the accuracy of electric energy metering management.

[0059] Specifically, the collection management module in the automatic analysis system for electric energy metering in the new energy access status described in this embodiment can realize the contents described in step 101 of this embodiment, that is, it can collect the amount of electric energy connected to the new energy through the electric energy detection device, the electric energy metering detection equipment and various sensors, collect various data in the electric energy metering device, and perform user authority configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup on the collected data, and archive the configured data as archival information, and at the same time update the system in real time to realize remote meter reading of the system.

[0060] Furthermore, the operating platform modules in the system include a system management module, a data management module and an operation and maintenance management module, which will process the archival information collected and archived by the collection management module, and control it through a distributed concurrent control system, a platform security management system, a distributed file system, a real-time data management system and a parallel computing system. At the same time, it also stores and manages a large amount of real-time data based on cloud computing, and expands distributed storage resources by simplifying the data model to ensure the smooth operation of the overall process and complete the overall platform control operation.

[0061] The capability module, service module and application module in the processing layer module of the system are responsible for document storage, indexing, searching and calculation and application of power system respectively, providing a technical basis for data search and power system business application. Among them, the capability module includes a search engine and a parallel computing work engine; the service module provides data access interface and data query and monitoring access services, and various interfaces can be encapsulated into multiple access methods; the application module adopts a cloud computing information platform to realize the function of collecting power and energy metering information, and is applied in the power system to provide technical support for the construction of smart grids.

[0062] Furthermore, the business application management module in the new energy access status electric energy metering automatic analysis system can realize business management contents such as electricity theft management, energy analysis, carrier application, line loss management, electricity consumption inspection, distribution operation analysis, fee control management, voltage monitoring and line loss abnormality monitoring for metering remote monitoring.

[0063] In order to better illustrate the working principle and step flow of the electric energy metering and analysis method and device for the new energy access status of the present invention, it is possible but not limited to refer to the relevant records above.

[0064] Accordingly, see Figure 2 , Figure 2 This is a schematic diagram of the structure of an embodiment of the electric energy metering and analysis device for the new energy access status provided by the present invention. Figure 2 As shown, the electric energy metering and analyzing device includes a signal response module 201 and an electric energy metering module 202 .

[0065] The signal response module 201 is used to respond to the electric energy metering signal, collect the electric energy data to be processed according to the electric energy metering signal, perform relevant parameter configuration and data preprocessing on the electric energy data to be processed, and archive the processed electric energy data as archive information.

[0066] Furthermore, the signal response module 201 collects the electric energy data to be processed according to the electric energy metering signal, specifically:

[0067] The electric energy metering signal is parsed to obtain the corresponding sensor number and collection time to be collected, and the sensor number to be collected is traversed and screened to determine the detection database of the sensor to be collected that corresponds one to one with the sensor number to be collected; the corresponding electric energy data to be processed is retrieved from the detection database according to the collection time, and the electric energy data to be processed is screened and clustered according to the corresponding sensor type.

[0068] Furthermore, the signal response module 201 performs relevant parameter configuration and data preprocessing on the electric energy data to be processed, and archives the processed electric energy data as archive information, specifically:

[0069] The data type and data permission of the electric energy data to be processed are confirmed, and the electric energy data to be processed are classified and clustered according to the confirmed data type and data permission to obtain several groups of data to be processed; for each group of data in the several groups of data to be processed, user permission configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup configuration are performed according to the corresponding data type and data permission, and the data after the configuration is completed is archived as the archival information.

[0070] The electric energy metering module 202 is used to call the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed file calling and electric energy metering analysis processing on the archive information in turn, and output and display the corresponding electric energy metering result data.

[0071] Furthermore, the electric energy metering module 202 calls the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed concurrent processing and electric energy metering analysis processing on the archive information respectively, specifically:

[0072] Parse and retrieve the corresponding archive information according to the electric energy metering signal, call the distributed concurrent processing algorithm to perform distributed concurrent processing on the archive information, so that the archive information is evenly divided into several groups of archive data groups; call the parallel computing model algorithm to perform concurrent computing on the several groups of archive data groups, and simplify the parallel computing model algorithm by simplifying the data model, so that the several groups of archive data groups are processed for electric energy metering by the simplified model, and output the corresponding electric energy metering result data.

[0073] Correspondingly, an embodiment of the present invention also provides an electric energy metering and analysis system for the access status of new energy sources, the electric energy metering and analysis system comprising a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements any one of the above-mentioned electric energy metering and analysis methods for the access status of new energy sources when processing the computer program.

[0074] Correspondingly, an embodiment of the present invention further provides a storage medium, on which a computer program is stored, and the computer program is called and executed by a processor to implement any of the above-mentioned methods for analyzing electric energy metering for the access status of new energy.

[0075] In summary, the embodiments of the present invention provide an electric energy metering analysis method and device for the access status of new energy sources, which collects the electric energy data to be processed in response to the electric energy metering signal, configures the relevant parameters of the electric energy data to be processed, and archives the configured electric energy data as archival information, and calls the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed concurrent processing and electric energy metering analysis processing on the archival information in turn, and then outputs the corresponding electric energy metering result data. The present invention collects electric energy data through electric energy metering signals, which not only realizes the consideration of individual data collection frequency standards, but also realizes the real-time control of the system's electric energy application situation; and the automatic metering of electric energy data according to the metering signal effectively measures the electric energy in the access status of new energy sources accurately, and further provides a rich platform service for different power users, thereby improving the experience of different power users.

[0076] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing electric energy metering based on the access status of new energy sources, characterized in that: The following steps are involved: Responding to the electric energy metering signal, collecting the electric energy data to be processed according to the electric energy metering signal, configuring the relevant parameters of the electric energy data to be processed, and archiving the configured electric energy data as archive information; At the same time, the distributed concurrent processing algorithm and the parallel computing model algorithm are called to respectively perform distributed concurrent processing and electric energy metering analysis processing on the archive information in turn, and output and display the corresponding electric energy metering result data.

2. The method for analyzing electric energy metering for the access status of new energy sources according to claim 1, characterized in that: The collecting of the electric energy data to be processed according to the electric energy metering signal is specifically: Parse the electric energy metering signal to obtain the corresponding sensor number and collection time to be collected, and traverse and screen according to the sensor number to be collected to determine the detection database of the sensor to be collected that corresponds one-to-one with the sensor number to be collected; The corresponding electric energy data is retrieved from the detection database according to the acquisition time, and the electric energy data is supplemented with missing values ​​and normalized, and the processed electric energy data is output as the electric energy data to be processed.

3. The method for analyzing electric energy metering for the access status of new energy sources according to claim 1, characterized in that: The relevant parameters of the to-be-processed electric energy data are configured, and the configured electric energy data is archived as archive information, specifically: Confirming the data type and data authority of the electric energy data to be processed, and classifying and clustering the electric energy data to be processed according to the confirmed data type and data authority to obtain several groups of data to be processed; For each group of data in the several groups of data to be processed, user authority configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup configuration are performed according to the corresponding data type and data authority, and the data after the configuration is completed is archived as the archival information.

4. The method for analyzing electric energy metering for the access status of new energy sources according to claim 1, characterized in that: The calling of the distributed concurrent processing algorithm and the parallel computing model algorithm respectively sequentially performs distributed concurrent processing and electric energy metering analysis processing on the archive information, specifically: Parse and retrieve the corresponding archive information according to the electric energy metering signal, and call the distributed concurrent processing algorithm to perform distributed concurrent processing on the archive information, so that the archive information is evenly divided into a plurality of archive data groups; The parallel computing model algorithm is called to perform concurrent computing on the several groups of archive data groups, and the parallel computing model algorithm is simplified by simplifying the data model, so that the several groups of archive data groups are processed for electric energy metering by the simplified model, and the corresponding electric energy metering result data is output.

5. An electric energy metering and analysis device for the access status of new energy sources, characterized in that: The electric energy measurement and analysis device comprises a signal response module and an electric energy measurement module; The signal response module is used to respond to the electric energy metering signal, collect the electric energy data to be processed according to the electric energy metering signal, perform relevant parameter configuration and data preprocessing on the electric energy data to be processed, and archive the processed electric energy data as archive information; The electric energy metering module is used to call the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed file calling and electric energy metering analysis processing on the archive information in turn, and output and display the corresponding electric energy metering result data.

6. The electric energy metering and analysis device for the new energy access status as claimed in claim 5, characterized in that: The signal response module collects the electric energy data to be processed according to the electric energy metering signal, specifically: Parse the electric energy metering signal to obtain the corresponding sensor number and collection time to be collected, and traverse and screen according to the sensor number to be collected to determine the detection database of the sensor to be collected that corresponds one-to-one with the sensor number to be collected; The corresponding electric energy data to be processed is retrieved from the detection database according to the acquisition time, and the electric energy data to be processed is screened and clustered according to the corresponding sensor type.

7. The electric energy metering and analysis device for the new energy access status as claimed in claim 5, characterized in that: The signal response module performs relevant parameter configuration and data preprocessing on the electric energy data to be processed, and archives the processed electric energy data as archive information, specifically: Confirming the data type and data authority of the electric energy data to be processed, and classifying and clustering the electric energy data to be processed according to the confirmed data type and data authority to obtain several groups of data to be processed; For each group of data in the several groups of data to be processed, user authority configuration, system parameter configuration, basic parameter configuration, other parameter configuration and data backup configuration are performed according to the corresponding data type and data authority, and the data after the configuration is completed is archived as the archival information.

8. The electric energy metering and analysis device for the new energy access status as claimed in claim 5, characterized in that: The electric energy metering module calls the distributed concurrent processing algorithm and the parallel computing model algorithm to perform distributed concurrent processing and electric energy metering analysis processing on the archive information respectively, specifically: Parse and retrieve the corresponding archive information according to the electric energy metering signal, and call the distributed concurrent processing algorithm to perform distributed concurrent processing on the archive information, so that the archive information is evenly divided into a plurality of archive data groups; The parallel computing model algorithm is called to perform concurrent computing on the several groups of archive data groups, and the parallel computing model algorithm is simplified by simplifying the data model, so that the several groups of archive data groups are processed for electric energy metering by the simplified model, and the corresponding electric energy metering result data is output.

9. An electric energy metering and analysis system for the access status of new energy sources, characterized in that: The electric energy metering and analysis system includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor processes the computer program, it implements an electric energy metering and analysis method for the new energy access status as described in any one of claims 1 to 4.

10. A storage medium, characterized in that: The storage medium stores a computer program, which is called and executed by a processor to implement an electric energy metering and analysis method for the new energy access status as described in any one of claims 1 to 4 above.

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