Electric quantity metering system and metering method, electronic equipment and storage medium

Abstract

The invention provides an electric quantity metering system and metering method, electronic equipment and a storage medium. The system comprises a gateway meter, a data acquisition module, a data transmission module and a network security monitoring module. Compared with the prior art, according to the embodiment of the invention, the data acquisition module is used for acquiring the electric quantity data metered by the gateway meter and carrying out data processing and correction, so that the accuracy of the metered data can be remarkably improved; the data transmission module is responsible for transmitting the corrected metering data to a power grid dispatching system to realize effective communication between the data acquisition module and the power grid dispatching system; the introduction of the network security monitoring module provides comprehensive network security monitoring for the whole electric quantity metering system, can monitor the data transmission process among the data acquisition module, the data transmission module and the gateway meter in real time, and timely discovers and prevents potential network attack and data leakage risks. Therefore, the security and privacy of the electric quantity data are ensured.

Description

Technical Field

[0001] The present disclosure relates to the field of photovoltaic technology, and in particular to an electricity metering system and a metering method, an electronic device and a storage medium. Background Art

[0002] With the rapid development and widespread application of photovoltaic power generation technology, photovoltaic power plants have become an indispensable part of the power system. Traditional electricity metering methods often use a single electricity meter for metering, but this method has many shortcomings in large-scale, distributed power generation scenarios such as photovoltaic power plants. First, the power generation process of photovoltaic power plants is affected by a variety of environmental factors such as light intensity and temperature, resulting in large fluctuations and uncertainties in power generation. A single electricity meter may not be able to accurately reflect this change. Secondly, photovoltaic power plants usually involve multiple power generation units and grid connection points, and each grid connection point needs to be independently measured and monitored. Traditional metering methods are unable to cope with this. In the process of photovoltaic power plants connecting to the grid for power generation, how to achieve accurate measurement of grid-connected electricity has become a problem that needs to be solved urgently. Summary of the invention

[0003] The present disclosure provides an electricity metering system and a metering method, an electronic device and a storage medium, which are mainly intended to solve the problem of inaccurate online electricity metering during the process of photovoltaic power plant grid-connected power generation.

[0004] According to a first aspect of the present disclosure, there is provided an electricity metering system, the system comprising: a gateway meter, a data acquisition module, a data transmission module, and a network security monitoring module;

[0005] The gateway meter is connected to the data acquisition module, and the gateway meter is used to measure the amount of electricity delivered by the target photovoltaic power station;

[0006] The data acquisition module is used to collect the metering data of the gateway table, perform data processing on the metering data, perform correction processing on the metering data, and generate metering correction data;

[0007] The data acquisition module is connected to the data transmission module, and the data transmission module is used to transmit the measurement correction data to the power grid dispatching system to realize the communication transmission between the data acquisition module and the power grid dispatching system;

[0008] The network security monitoring module is connected to the data acquisition module, the data transmission module and the gateway table respectively, and is used to monitor the data transmission among the data acquisition module, the data transmission module and the gateway table.

[0009] In some implementations, the gateway table includes: a first gateway table and a second gateway table;

[0010] The first gateway table is set at the outgoing line side of the high-voltage transmission line of the target photovoltaic power station, and the first gateway table is set at the outgoing line side of the low-voltage transmission line of the target photovoltaic power station.

[0011] In some implementations, the system further includes: a data storage module;

[0012] The data storage module is connected to the data acquisition module, and the data storage module is used to obtain the measurement data and the measurement correction data, and store the measurement data and the measurement correction data in chronological order.

[0013] In some implementations, the network security monitoring module includes: an intra-system monitoring submodule;

[0014] The in-system monitoring submodule is respectively connected to the data acquisition module, the data transmission module and the gateway table. The in-system monitoring submodule is used to monitor the data transmission between the data acquisition module, the data transmission module and the gateway table, and perform integrity verification and security monitoring on the transmitted data.

[0015] In some implementations, the network security monitoring module further includes: an off-system monitoring submodule;

[0016] The off-system monitoring submodule is used to monitor the connection link between the data transmission module and the power grid dispatching system, and to monitor and handle network security attacks.

[0017] According to a second aspect of the present disclosure, a method for electricity metering is provided, the method comprising:

[0018] Based on the target gateway table, collect metering data at target points in the target photovoltaic power station;

[0019] Calling a power correction algorithm, performing data processing on the metering data, performing correction processing on the metering data, and generating metering correction data;

[0020] The metering correction data are cross-validated, and the metering correction data that pass the cross-validation are sent to the power grid dispatching system.

[0021] In some implementations, the method further comprises:

[0022] Use network security algorithms to perform integrity verification and security monitoring on data transmission.

[0023] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0024] at least one processor; and

[0025] a memory communicatively connected to the at least one processor; wherein,

[0026] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0027] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0028] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0029] The present disclosure provides an electricity metering system and a metering method, an electronic device and a storage medium. The system includes: a gateway table, a data acquisition module, a data transmission module, and a network security monitoring module; the gateway table is connected to the data acquisition module, and the gateway table is used to measure the electricity transmitted by the target photovoltaic power station; the data acquisition module is used to collect the metering data of the gateway table, and perform data processing on the metering data, perform correction processing on the metering data, and generate metering correction data; the data acquisition module is connected to the data transmission module, and the data transmission module is used to transmit the metering correction data to the power grid dispatching system to realize the communication transmission between the data acquisition module and the power grid dispatching system; the network security monitoring module is respectively connected to the data acquisition module, the data transmission module, and the gateway table, and the network security monitoring module is used to monitor the data acquisition module, the data transmission module and the data transmission between the gateway table. Compared with the related art, the embodiment of the present disclosure collects the electricity data measured by the gateway meter through the data acquisition module, and performs data processing and correction, which can significantly improve the accuracy of the metering data; the data transmission module is responsible for transmitting the corrected metering data to the power grid dispatching system, and realizes effective communication between the data acquisition module and the power grid dispatching system; the introduction of the network security monitoring module provides comprehensive network security monitoring for the entire electricity metering system, which can monitor the data transmission process between the data acquisition module, the data transmission module and the gateway meter in real time, and timely discover and prevent potential network attacks and data leakage risks, thereby ensuring the security and privacy of electricity data.

[0030] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0032] Figure 1 A schematic diagram of the structure of an electricity metering system provided in an embodiment of the present disclosure;

[0033] Figure 2 A schematic diagram of the structure of another power metering system provided by an embodiment of the present disclosure;

[0034] Figure 3 A flowchart of a method for electricity metering provided in an embodiment of the present disclosure;

[0035] Figure 4 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0036] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0037] The following describes an electricity metering system and a metering method, an electronic device, and a storage medium according to embodiments of the present disclosure with reference to the accompanying drawings.

[0038] Figure 1 A schematic diagram of the structure of an electricity metering system provided in an embodiment of the present disclosure.

[0039] like Figure 1 As shown, the system includes: a gateway table 11, a data acquisition module 12, a data transmission module 13, and a network security monitoring module 14;

[0040] The gateway meter 11 is connected to the data acquisition module 12 , and the gateway meter 11 is used to measure the amount of electricity delivered by the target photovoltaic power station.

[0041] Specifically, the gateway meter 11, as a key device for electricity metering, is closely connected to the data acquisition module 12 through a special communication interface or cable. The gateway meter 11 is carefully designed and installed at the output end of the target photovoltaic power station. Its main responsibility is to accurately and continuously measure the amount of electricity transmitted by the photovoltaic power station to the power grid. This metering process not only involves real-time monitoring of electrical parameters such as current and voltage, but also converts these raw data into accurate electricity values ​​through built-in high-precision metering algorithms, thereby providing a solid data foundation for subsequent electricity statistics, settlements and power grid dispatching. Through the connection with the data acquisition module 12, the gateway meter 11 can transmit these valuable electricity data in real time, ensure the timeliness and effectiveness of the data, and then support the efficient and stable operation of the entire power system.

[0042] The data acquisition module 12 is used to collect the metering data of the gateway table, perform data processing on the metering data, perform correction processing on the metering data, and generate metering correction data.

[0043] Specifically, the core task of the data acquisition module 12 is to efficiently and accurately collect metering data from the gateway table 11. This collection process is achieved through advanced communication technology, ensuring real-time transmission and reception of data. After receiving the original metering data transmitted by the gateway table, the data acquisition module 12 will immediately start its built-in data processing mechanism. This mechanism first performs a preliminary classification and sorting of the data to ensure that each data can be correctly identified and classified. Subsequently, the data acquisition module 12 will use a series of sophisticated algorithms to conduct in-depth analysis and correction processing of the metering data. This correction process aims to eliminate metering deviations caused by equipment errors, environmental factors or various interferences that may occur during data transmission, thereby ensuring the accuracy and reliability of the data. By comparing historical data, applying statistical models, and considering real-time environmental factors and other means, the data acquisition module 12 can generate more accurate and reliable metering correction data.

[0044] These calibrated metering data not only provide solid data support for the operation and management of the power grid, but also provide a scientific basis for key decisions such as the settlement of power transactions, the evaluation of energy efficiency and power grid planning, further promoting the intelligent and refined management of the power system.

[0045] The data acquisition module 12 is connected to the data transmission module 13, and the data transmission module 13 is used to transmit the measurement correction data to the power grid dispatching system to realize the communication transmission between the data acquisition module 12 and the power grid dispatching system.

[0046] Specifically, after completing the collection, processing and correction of the metering data of the gateway meter, the data acquisition module 12 achieves seamless connection with the data transmission module 13 through a stable and reliable communication interface or network connection. This connection ensures that data can be efficiently and accurately transmitted between the two modules. The data transmission module 13, as an important bridge connecting the data acquisition module and the power grid dispatching system, undertakes the important task of safely and quickly transmitting the carefully corrected metering data to the power grid dispatching system.

[0047] To achieve this goal, the data transmission module 13 uses advanced communication protocols and data encryption technology to ensure the integrity and confidentiality of data during transmission. It can not only adapt to various complex network environments, but also effectively resist potential risks such as data tampering and network attacks. After receiving the measurement correction data sent by the data acquisition module 12, the data transmission module 13 will immediately start its powerful transmission mechanism and send these data to the power grid dispatching system with the best path and the fastest speed.

[0048] The power grid dispatching system, as the nerve center of the power system, can grasp the operation status of the power grid in real time, accurately predict power demand, and reasonably allocate power resources by receiving and processing the measurement and correction data from the data acquisition module, thereby ensuring the safe, stable and efficient operation of the power grid. Therefore, the close cooperation between the data acquisition module 12 and the data transmission module 13, as well as the communication transmission between the data transmission module 13 and the power grid dispatching system, together constitute an important cornerstone of the intelligent and automated management of the power system.

[0049] The network security monitoring module 14 is connected to the data acquisition module 12 , the data transmission module 13 , and the gateway table 11 respectively, and is used to monitor the data transmission among the data acquisition module 12 , the data transmission module 13 , and the gateway table 11 .

[0050] Specifically, the network security monitoring module 14 establishes a comprehensive and in-depth connection with the data acquisition module 12, the data transmission module 13 and the gateway table 11 through a carefully designed interface and communication protocol. This connection not only ensures that the network security monitoring module can obtain the data transmission status between these three key components in real time and comprehensively, but also provides a solid foundation for it to conduct all-round and multi-level monitoring of the data transmission process.

[0051] The core responsibility of the network security monitoring module 14 is to use advanced network security technologies and algorithms to monitor and analyze the data transmitted between the data acquisition module 12, the data transmission module 13 and the gateway table 11 in real time. It can not only detect the normal flow and transmission of data, but also keenly capture any abnormal data transmission behavior, such as data tampering, illegal access, data leakage and other potential security threats.

[0052] By monitoring the integrity, confidentiality and availability of data transmission in real time, the network security monitoring module 14 can promptly detect and report any possible security risks, providing strong security protection for the operation of the power system. At the same time, it can also record and analyze the monitored security events in detail, providing valuable reference for subsequent security audits, risk assessments and emergency responses.

[0053] The present disclosure provides an electricity metering system, which includes: a gateway table, a data acquisition module, a data transmission module, and a network security monitoring module; the gateway table is connected to the data acquisition module, and the gateway table is used to measure the electricity transmitted by the target photovoltaic power station; the data acquisition module is used to collect the metering data of the gateway table, and perform data processing on the metering data, perform correction processing on the metering data, and generate metering correction data; the data acquisition module is connected to the data transmission module, and the data transmission module is used to transmit the metering correction data to the power grid dispatching system to realize the communication transmission between the data acquisition module and the power grid dispatching system; the network security monitoring module is respectively connected to the data acquisition module, the data transmission module, and the gateway table, and the network security monitoring module is used to monitor the data acquisition module, the data transmission module and the data transmission between the gateway table. Compared with the related art, the embodiment of the present disclosure collects the electricity data measured by the gateway meter through the data acquisition module, and performs data processing and correction, which can significantly improve the accuracy of the metering data; the data transmission module is responsible for transmitting the corrected metering data to the power grid dispatching system, and realizes effective communication between the data acquisition module and the power grid dispatching system; the introduction of the network security monitoring module provides comprehensive network security monitoring for the entire electricity metering system, which can monitor the data transmission process between the data acquisition module, the data transmission module and the gateway meter in real time, and timely discover and prevent potential network attacks and data leakage risks, thereby ensuring the security and privacy of electricity data.

[0054] Further, in a possible implementation of this embodiment, the gateway table includes: a first gateway table and a second gateway table;

[0055] The first gateway table is set at the outgoing line side of the high-voltage transmission line of the target photovoltaic power station, and the first gateway table is set at the outgoing line side of the low-voltage transmission line of the target photovoltaic power station.

[0056] Specifically, the first gateway meter is installed on the outlet side of the high-voltage transmission line of the target photovoltaic power station. The choice of this location is crucial because it can directly monitor the amount of electricity transmitted from the photovoltaic power station to the high-voltage power grid, thereby ensuring the accurate measurement of the power generation of the photovoltaic power station. The first gateway meter uses high-precision and high-stability metering technology, which can record the amount of electricity flowing on the high-voltage transmission line in real time and accurately, providing reliable data support for power grid dispatching, power trading settlement, and energy efficiency evaluation.

[0057] The second gateway meter is set at the outlet side of the low-voltage transmission line of the target photovoltaic power station. This arrangement is also of far-reaching significance, because the low-voltage transmission line is the main way for photovoltaic power stations to supply power to users or distributed power grids. The second gateway meter can not only help power station managers understand the power supply situation of the power station in real time by accurately measuring the amount of electricity flowing on the low-voltage transmission line, but also provide important data reference for power distribution, user power management and power grid planning.

[0058] The coordinated work of the first and second gateway meters not only realizes the comprehensive monitoring of the power generation and supply of photovoltaic power stations, but also provides strong data support for the operation and maintenance management of power stations, energy efficiency improvement and optimized dispatching of power grids through data comparison and analysis. This dual-gate meter setting method fully reflects the scientific nature and advancement of the electricity metering system, and lays a solid foundation for the intelligent and refined management of the power system.

[0059] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the system further includes: a data storage module 15;

[0060] The data storage module 15 is connected to the data acquisition module 12 , and is used to obtain the measurement data and the measurement correction data, and store the measurement data and the measurement correction data in chronological order.

[0061] Specifically, in the power monitoring and management system, the data storage module 15, as a core component of data archiving and management, is closely connected with the data acquisition module 12 through an efficient and stable communication link. This connection ensures that all important information collected by the data acquisition module, including the original metering data and the metering data after careful correction, can be obtained by the data storage module 15 in a timely and accurate manner.

[0062] The design of the data storage module 15 fully considers the characteristics and requirements of power data. It can not only receive massive data from the data acquisition module 12, but also has powerful data processing and storage capabilities. After obtaining the metering data and metering correction data, the data storage module will immediately start its built-in data management mechanism to store these data in order according to the time sequence. This chronological storage method not only facilitates subsequent data retrieval and analysis, but also effectively ensures the integrity and consistency of the data.

[0063] In order to ensure the security and reliability of data, the data storage module 15 also adopts advanced storage technology and protection measures. It can encrypt the stored data to prevent the data from being illegally accessed or tampered with; at the same time, through regular backup and redundant storage strategies, it ensures that the data can still be effectively restored in the face of hardware failure or catastrophic events.

[0064] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the network security monitoring module 14 includes: a system monitoring submodule 141;

[0065] The in-system monitoring submodule 141 is respectively connected to the data acquisition module 12, the data transmission module 13, and the gateway table 11. The in-system monitoring submodule 141 is used to monitor the data transmission between the data acquisition module 12, the data transmission module 13 and the gateway table 11, and perform integrity verification and security monitoring on the transmitted data.

[0066] Specifically, in the integrated power safety monitoring system, the system monitoring submodule 141, as the core component of the network security monitoring module 14, realizes a comprehensive and in-depth connection with the data acquisition module 12, the data transmission module 13 and the gateway table 11 through a carefully designed interface and communication protocol. This connection not only provides the system monitoring submodule with real-time and comprehensive data transmission monitoring capabilities, but also ensures that it can monitor and analyze the entire data transmission process in detail.

[0067] The system monitoring submodule 141 is used to perform all-round monitoring of the data transmitted between the data acquisition module 12, the data transmission module 13 and the gateway table 11. It can not only track the flow path and transmission status of the data in real time, but also perform integrity verification on the transmitted data to ensure that the data has not been tampered with or lost during the transmission process. By comparing the sending and receiving ends of the data, the system monitoring submodule can accurately determine the integrity of the data and promptly discover and report any possible data transmission anomalies.

[0068] In addition to integrity verification, the system monitoring submodule 141 also undertakes the important task of security monitoring of transmitted data. It uses advanced network security technology and algorithms to perform real-time analysis of transmitted data, and can keenly capture any potential security threats, such as data leakage, illegal access, malicious attacks, etc. By monitoring the data transmission process in real time, the system monitoring submodule can promptly discover and respond to these security threats, providing strong security protection for data transmission in the power system.

[0069] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the network security monitoring module 14 further includes: an external system monitoring submodule 142;

[0070] The external monitoring submodule 142 is used to monitor the connection link between the data transmission module 13 and the power grid dispatching system, and to monitor and handle network security attacks.

[0071] Specifically, the external monitoring submodule 142 is used to monitor the network security status of the connection link between the data transmission module 13 and the power grid dispatching system. This connection link is a key channel for power data transmission, and its security and stability are directly related to the operational safety and data integrity of the entire power system.

[0072] The off-system monitoring submodule 142 continuously monitors every detail of the connection link in real time through advanced network security monitoring technologies and tools. It can detect any abnormal network activities, such as unauthorized access attempts, abnormal flow of data packets, increased transmission delays, etc., which are all signs of potential network security attacks.

[0073] Once suspicious activities are detected, the off-system monitoring submodule 142 will immediately activate its powerful processing mechanism. This mechanism includes but is not limited to in-depth analysis of abnormal data, real-time filtering of network traffic, tracking and locating potential attack sources, and defensive measures taken when necessary, such as blocking malicious connections, isolating infected systems, etc. Through these measures, the off-system monitoring submodule can effectively prevent the spread of network security attacks and protect the channels for power data transmission from being infringed.

[0074] In addition, the off-system monitoring submodule 142 also has the ability of intelligent learning and self-optimization. It can continuously optimize its monitoring and processing strategies based on historical data and real-time monitoring results to better adapt to the ever-changing network security environment. This ability enables the off-system monitoring submodule to respond quickly when facing new and complex network security threats, providing continuous and effective protection for the network security of the power system.

[0075] Figure 3A schematic flow chart of a method for electricity metering provided in an embodiment of the present disclosure.

[0076] like Figure 3 As shown, the method comprises the following steps:

[0077] Step 201 : Based on the target gateway table, metering data at target points in a target photovoltaic power station are collected.

[0078] Specifically, the target gateway meter, as the core equipment for electricity metering, is installed at the key position of the photovoltaic power station, which can record the power generation and supply of the power station in real time and reliably. In order to ensure the accuracy and timeliness of data collection, we use advanced sensor technology and data acquisition equipment, which are closely integrated with the target gateway meter. These devices can capture the electricity data at the target point in real time, including key parameters such as voltage, current, power factor, etc., and process them in real time through high-precision algorithms to ensure the accuracy and reliability of the data.

[0079] During the data collection process, we pay special attention to the integrity and continuity of the data. By setting a reasonable sampling frequency and data transmission mechanism, we ensure that the metering data at the target point can be collected and transmitted uninterruptedly, providing a solid data foundation for subsequent data analysis, energy efficiency evaluation and power grid dispatching.

[0080] In addition, we have also implemented strict security protection in the data collection process, using technical means such as encrypted transmission and access control to ensure the security and confidentiality of metering data during transmission and storage. This not only effectively prevents data leakage and tampering, but also provides reliable data protection for the operation and maintenance management of photovoltaic power stations and power trading.

[0081] Step 202: call the electric quantity correction algorithm, perform data processing on the measurement data, perform correction processing on the measurement data, and generate measurement correction data.

[0082] Specifically, by calling the researched and verified power correction algorithm, the aim is to perform comprehensive and accurate data processing on the original metering data collected from the target gateway meter. The design of this algorithm fully considers various error factors that may be introduced during the transmission, recording and conversion of power data, including but not limited to equipment accuracy deviation, environmental factor changes, and noise interference during data transmission.

[0083] The core of the power correction algorithm lies in its powerful data processing and error correction capabilities. It first performs meticulous preprocessing on the original metering data, including data cleaning, outlier detection and processing, to ensure the accuracy and reliability of the data. Subsequently, the algorithm will perform fine correction processing on the processed data based on the preset correction model and parameters. In this process, the algorithm will comprehensively consider a variety of influencing factors, and through complex mathematical operations and statistical analysis, accurately calculate the correction value of each data point, thereby effectively eliminating errors and deviations in the original data.

[0084] The data processed by the power correction algorithm is called metering correction data. These data are not only more accurate and reliable, but also can more truly reflect the actual power generation and power supply of the target photovoltaic power station. The generation of metering correction data provides a solid data foundation for data analysis, energy efficiency evaluation, grid dispatching, and power trading settlement of the power system, which helps to improve the overall operating efficiency and economic benefits of the power system.

[0085] In addition, the power correction algorithm also has the ability of self-learning and optimization. It can continuously adjust and optimize the correction model and parameters according to the feedback and data changes in actual applications to adapt to the power measurement needs under different environments and conditions. This intelligent feature enables the power correction algorithm to maintain its accuracy and effectiveness for a long time, providing strong technical support for the sustainable development of the power system.

[0086] Step 203: cross-validate the metering correction data, and send the metering correction data that passes the cross-validation to the power grid dispatching system.

[0087] Specifically, after completing the calibration of the metrology data, we entered a crucial step - cross-validation. This step is the key to ensuring the accuracy and reliability of metrology calibration data. We adopted a rigorous cross-validation mechanism, which comprehensively verifies the metrology calibration data through multiple comparisons and analyses.

[0088] During the cross-validation process, the metrology calibration data is first divided into multiple subsets, and then a portion of the data is used as the validation set, and the rest of the data is used as the training set. By comparing the validation set with the data predicted by the calibration algorithm, the performance and accuracy of the calibration algorithm can be evaluated. This divide-and-conquer strategy can not only effectively discover potential problems in the data, but also ensure the stability and consistency of the calibration algorithm on different data subsets.

[0089] During the cross-validation process, special attention is paid to the comprehensiveness and meticulousness of the validation results. Each data point will be compared one by one to analyze its deviation and fluctuation to ensure that the corrected data can truly and accurately reflect the actual operating conditions of the power system. At the same time, statistical analysis and visualization tools will be used to intuitively display and interpret the cross-validation results so as to promptly detect and handle any abnormalities or inconsistencies.

[0090] Once the measurement and correction data successfully passes the cross-validation, we regard it as a high-quality and reliable data source. Subsequently, the data will be carefully packaged and sent to the power grid dispatching system through a secure and stable communication channel. As the nerve center of the power system, the power grid dispatching system has extremely high requirements for the real-time and accuracy of data. Therefore, during the data transmission process, we use advanced encryption technology and protection measures to ensure that the measurement and correction data can reach the power grid dispatching system safely and accurately, providing strong data support for the real-time dispatch, optimized operation and fault handling of the power system.

[0091] Furthermore, in a possible implementation of this embodiment, the method further includes:

[0092] Use network security algorithms to perform integrity verification and security monitoring on data transmission.

[0093] Specifically, in the key link of power data transmission, the security and integrity of data are very important for the operation of the entire power system. Therefore, a network security algorithm can be used to ensure that every link in the data transmission process can be strictly protected and monitored. This set of network security algorithms is a comprehensive system that combines multiple encryption technologies and security protocols. It first performs comprehensive encryption processing on the measurement and correction data to be transmitted, and uses complex encryption algorithms to convert the data into a ciphertext form that is difficult to crack, thereby effectively preventing the data from being illegally stolen or tampered with during the transmission process. This step is the basis for ensuring data integrity and confidentiality.

[0094] In addition to data encryption, the network security algorithm also includes a powerful integrity check mechanism. This mechanism ensures that the data has not been accidentally modified or damaged during transmission by generating a checksum before sending the data and comparing the checksum after receiving the data. If the checksum of the received data is inconsistent with that of the sent data, the system will immediately issue an alarm and take appropriate measures to handle this abnormal situation, thereby ensuring the integrity and consistency of the data.

[0095] At the same time, the network security algorithm also has the function of real-time security monitoring. It can continuously monitor and analyze network traffic, access patterns, and potential security threats during data transmission. By using advanced threat detection technology and pattern recognition algorithms, the network security algorithm can promptly detect and respond to various network security attacks, such as malware intrusion, phishing, DDoS attacks, etc., thereby ensuring the security and stability of the data transmission channel.

[0096] In addition, the network security algorithm also has the ability to self-learn and adapt. It can continuously adjust and optimize its own security strategies and protection measures according to the actual network environment and changes in security threats to cope with increasingly complex and changing network security challenges.

[0097] It should be noted that the embodiments of the present disclosure may include multiple steps. For the convenience of description, these steps are numbered, but these numbers do not limit the execution time slots or execution order between the steps; these steps can be implemented in any order, and the embodiments of the present disclosure do not limit this.

[0098] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0099] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0100] like Figure 4 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0101] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0102] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as the method of electricity metering. For example, in some embodiments, the method of electricity metering may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the calculation unit 301 may be configured to execute the aforementioned power measurement method in any other appropriate manner (for example, by means of firmware).

[0103] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0104] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0105] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0106] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0107] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0108] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0109] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0110] The various numerical numbers such as first and second involved in the present disclosure are only for the convenience of description and are not used to limit the scope of the embodiments of the present disclosure, but also indicate the order of precedence.

[0111] At least one in the present disclosure may also be described as one or more, and a plurality may be two, three, four or more, which is not limited in the present disclosure. In the embodiments of the present disclosure, for a technical feature, the technical features in the technical feature are distinguished by "first", "second", "third", "A", "B", "C" and "D", etc., and there is no order of precedence or size between the technical features described by the "first", "second", "third", "A", "B", "C" and "D".

[0112] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0113] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. An electricity metering system, characterized in that: The system includes: a gateway table, a data acquisition module, a data transmission module, and a network security monitoring module; The gateway meter is connected to the data acquisition module, and the gateway meter is used to measure the amount of electricity delivered by the target photovoltaic power station; The data acquisition module is used to collect the metering data of the gateway table, perform data processing on the metering data, perform correction processing on the metering data, and generate metering correction data; The data acquisition module is connected to the data transmission module, and the data transmission module is used to transmit the measurement correction data to the power grid dispatching system to realize the communication transmission between the data acquisition module and the power grid dispatching system; The network security monitoring module is connected to the data acquisition module, the data transmission module and the gateway table respectively, and is used to monitor the data transmission among the data acquisition module, the data transmission module and the gateway table.

2. The electricity metering system according to claim 1, characterized in that: The gateway table includes: a first gateway table and a second gateway table; The first gateway table is set at the outgoing line side of the high-voltage transmission line of the target photovoltaic power station, and the first gateway table is set at the outgoing line side of the low-voltage transmission line of the target photovoltaic power station.

3. The power metering system according to claim 1, characterized in that: The system further comprises: a data storage module; The data storage module is connected to the data acquisition module, and the data storage module is used to obtain the measurement data and the measurement correction data, and store the measurement data and the measurement correction data in chronological order.

4. The electricity metering system according to claim 1, characterized in that: The network security monitoring module includes: a system-wide monitoring submodule; The in-system monitoring submodule is respectively connected to the data acquisition module, the data transmission module and the gateway table. The in-system monitoring submodule is used to monitor the data transmission between the data acquisition module, the data transmission module and the gateway table, and perform integrity verification and security monitoring on the transmitted data.

5. The electricity metering system according to claim 1, characterized in that: The network security monitoring module also includes: an external system monitoring submodule; The off-system monitoring submodule is used to monitor the connection link between the data transmission module and the power grid dispatching system, and to monitor and handle network security attacks.

6. A method for electricity metering, characterized in that: The method is applied to the electric quantity measurement system according to any one of claims 1 to 5, and the method comprises: Based on the target gateway table, collect metering data at target points in the target photovoltaic power station; Calling a power correction algorithm, performing data processing on the metering data, performing correction processing on the metering data, and generating metering correction data; The metering correction data are cross-validated, and the metering correction data that pass the cross-validation are sent to the power grid dispatching system.

7. The method according to claim 6, characterized in that The method further comprises: Use network security algorithms to perform integrity verification and security monitoring on data transmission.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 61-7.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 6-7.

10. A computer program product, characterized in that A computer program is included which, when executed by a processor, implements the method according to any one of claims 6-7.

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