An electric energy meter with a management unit and a verification method for legally verifying the management unit

Abstract

This invention provides an energy meter and verification method capable of legally verifying management units, relating to the field of energy meter verification technology. The method includes: identifying a target verification object and performing security verification on the target verification object to generate security verification result data; establishing a communication connection with the target verification object based on the security verification result data to obtain the target verification object's metering data, and performing metering verification analysis on the target verification object based on the metering data to generate metering verification analysis result data; acquiring historical metering verification result data, and performing comprehensive verification-based metering verification analysis on the target verification object based on the metering verification analysis result data to generate comprehensive metering verification analysis result data. This method, by performing verification analysis on smart energy meters based on maintainability, forms a reasonable verification scheme, which is beneficial for saving maintenance costs and improving maintenance efficiency.

Description

Technical Field

[0001] This invention relates to the field of electricity meter verification technology, and more specifically, to an electricity meter and verification method capable of legally verifying a management unit. Background Technology

[0002] With scientific progress and social development, the practice of conducting door-to-door inspections for exceeding electricity consumption limits is gradually becoming a thing of the past. Smart meters are becoming increasingly popular and can remotely monitor electricity consumption through communication, avoiding the inconvenience of door-to-door inspections and greatly improving the efficiency and effectiveness of electricity data management.

[0003] Because smart meters employ intelligent functional modules and utilize their management units to manage and control meter parameter data, it is crucial to ensure the normal and stable operation of these management units. To guarantee this, regular verification of smart meters is indispensable, enabling timely detection of anomalies and prompt initial maintenance responses, effectively safeguarding the electricity interests of businesses and users. Currently, smart meter verification is not accurate or efficient. In most cases, it involves independent analysis and judgment of certain key information, lacking consideration for maintainability-related verification analysis, leading to increased maintenance costs and unsatisfactory maintenance results.

[0004] Therefore, designing an energy meter and verification method capable of legally verifying the management unit, and forming a reasonable verification scheme by performing verification analysis on the smart energy meter based on maintainability, is an urgent problem to be solved. This is beneficial for saving maintenance costs and improving maintenance efficiency. Summary of the Invention

[0005] The purpose of this invention is to provide a verification method for legitimately verifying management units. First, it performs identity security verification analysis on the target verification object to determine that the data communication between the target verification object and the upper-level data center is secure and effective, effectively ensuring the correctness of subsequent verification analysis and the security of data communication between the target verification object and the upper-level data center. Simultaneously, based on security verification, it extracts and analyzes maintenance-based verification information for important metering information, forming a comprehensive verification analysis result. On the one hand, the selection and analysis of verification items based on maintenance is more closely aligned with maintenance requirements, providing direct and accurate maintenance reference information for smart meter maintenance. On the other hand, it avoids unnecessary maintenance processing caused by single verification judgments. Comprehensive verification analysis can fully ensure the continued applicability of smart meters within a reasonable operating deviation range, ensuring the effectiveness of each maintenance, greatly optimizing maintenance operations and improving maintenance efficiency while saving maintenance costs.

[0006] The present invention also aims to provide an energy meter capable of legally verifying the management unit. By configuring functional units that fully realize comprehensive verification of smart energy meters, the successful verification of smart energy meters is ensured. On the one hand, it enables efficient and reasonable processing and analysis of verification data, improving the efficiency of verification analysis; on the other hand, it achieves intelligent verification analysis, providing a stable material basis for the verification analysis of smart energy meters.

[0007] In a first aspect, the present invention provides a verification method for legally verifying a management unit, comprising: determining a target verification object and performing security verification on the target verification object to generate security verification result data; based on the security verification result data, establishing a communication connection with the target verification object to obtain the target verification object's metrological data, and performing metrological verification analysis on the target verification object based on the metrological data to generate metrological verification analysis result data; obtaining historical metrological verification result data, and performing comprehensive verification-based metrological verification analysis on the target verification object based on the metrological verification analysis result data to generate comprehensive metrological verification analysis result data.

[0008] In this invention, the method first performs identity security verification analysis on the target verification object to determine that the data communication between the target verification object and the upper-level data center is secure and effective, effectively ensuring the correctness of subsequent verification analysis and the security of data communication between the target verification object and the upper-level data center. Simultaneously, based on security verification, maintenance-based verification information extraction and analysis are performed on important metering information to form a comprehensive verification analysis result. On the one hand, the selection and analysis of verification items based on maintenance is more closely aligned with maintenance requirements, providing direct and accurate maintenance reference information for smart meter maintenance. On the other hand, it avoids unnecessary maintenance processing caused by singular verification judgments. Comprehensive verification analysis can fully guarantee the continued applicability of smart meters within a reasonable operating deviation range, ensuring the effectiveness of each maintenance, greatly optimizing maintenance operations and improving maintenance efficiency while saving maintenance costs.

[0009] As one possible implementation, the target verification object is identified, and security verification is performed on the target verification object to form security verification result data. This includes: verifying the identity of the target verification object and updating the identity information of the target verification object based on the identity verification result; extracting the communication transmission information of the target verification object based on the identity verification result and performing information integrity analysis on the communication transmission information to form information integrity analysis results.

[0010] In this invention, the security verification of the target verification object mainly includes two aspects: one is identity verification, which determines that the communication between the upper-level data center and the target verification object is normal and secure. The other is the verification of the integrity of communication data, which considers that even if a secure communication connection is established between the upper-level data center and the target verification object, data loss or corruption may still occur during the communication process. Therefore, it is necessary to ensure the integrity of communication data transmission to verify the normal operation of the communication connection.

[0011] One possible implementation involves authenticating the target verification object and updating its identity information based on the authentication result. This includes: determining the corresponding current authentication function based on the target verification object's target ID, and generating a random verification code based on the authentication function; sending the random verification code to the target verification object and obtaining a random feedback code generated by the current feedback function based on the random verification code; determining the corresponding current comparison feedback function based on the target ID, and generating a random comparison code based on the random verification code; performing an authentication comparison judgment based on the random feedback code and the random comparison code in the following manner: if the random feedback code and the random comparison code are different, an authentication error warning is generated; if the random feedback code and the random comparison code are the same, an authentication correctness message is generated; based on the authentication correctness message, the current comparison feedback function is adjusted to form a new current comparison feedback function, and the new current comparison feedback function is sent to the target verification object to replace the current feedback function, thus forming a new current feedback function.

[0012] In this invention, authentication analysis between the upper-level data center and the target verification object is performed using a random function. Different smart meters have different serial numbers. By configuring a corresponding random function for each smart meter with a different serial number, the independence of the security verification for each smart meter is ensured. A verification code generated by the random function is sent to the target verification object. The target verification object generates a feedback code based on the verification code and sends it back to the upper-level data center. The upper-level data center not only stores the corresponding random function but also a comparison function identical to that of the target verification object to generate a comparison code. The security of the communication is determined by identifying the differences between the comparison code and the feedback code. Of course, after completing the security verification, to improve the effectiveness of subsequent security verifications, the upper-level data center will generate a new function and provide it to the target verification center.

[0013] As one possible implementation, based on the authentication result, the communication transmission information of the target verification object is extracted, and information integrity analysis is performed on the communication transmission information to form an information integrity analysis result. This includes: after the authentication is correct, determining the data collection requirement information corresponding to the target verification object, and randomly determining n collection requirement time points and corresponding requirement information; based on the determined n collection requirement time points, extracting the communication transmission information sent by the target verification object at each collection requirement time point, and extracting all parameters in each communication transmission information to form a communication transmission parameter set; based on the requirement information corresponding to each collection requirement time point, determining the corresponding requirement parameter information; and comparing each communication transmission parameter set with the corresponding requirement parameter information for the following integrity judgment: if the parameter type in the requirement parameter information is consistent with the parameter type in the corresponding requirement parameter information, then the information requirement is complete; if the parameter type in the requirement parameter information is inconsistent with the parameter type in the corresponding requirement parameter information, then the information requirement is incomplete.

[0014] In this invention, the acquisition of data from the target verification object by the upper-level data center is mostly based on requirements. However, these requirements are not always the same, leading to differences in the types of parameters required from the target verification object for different requirements. Therefore, by randomly acquiring requirement information and corresponding time points from multiple upper-level data centers, and then determining the data of the target verification object extracted at the synchronized time point, a comparison of parameter types based on requirements can accurately determine whether any data transmission information has been lost or omitted. Here, two points should be noted regarding the random acquisition of requirement information: first, ensure that different requirement information has differences in parameter types, thus clearly determining whether data transmission is based on changing requirements; second, the amount of random collection can be set as needed, or determined through margin analysis based on integrity verification, i.e., at what quantity is sufficient to accurately determine integrity.

[0015] As one possible implementation, based on the security verification result data, a communication connection is established with the target verification object to obtain the target verification object's metering data. Then, based on the metering data, metering verification analysis is performed on the target verification object to generate metering verification analysis result data. This includes: establishing a communication connection with the target verification object after obtaining correct identity verification information and complete information requirement information; collecting power metering information of the target verification object during the metering verification period, performing power input metering verification analysis, and generating power input metering verification result information; collecting stored metering information of the target verification object during the metering verification period, performing stored metering verification analysis, and generating stored metering verification result information; collecting sampled metering information of the target verification object during the metering verification period, performing sampled metering verification analysis, and generating sampled metering verification result information; and combining the power input metering verification result information, stored metering verification result information, and sampled metering verification result information to generate metering verification analysis result data.

[0016] In this invention, after completing the security verification, the security of communication and the integrity of data transmission between the upper-level data center and the target verification object can be guaranteed. Based on this, the functional verification and analysis of the smart meter can then be performed. This study considers the maintenance content and maintainability of the smart meter, focusing on data verification in three aspects: power input voltage metering, storage metering, and sampling metering. This not only verifies the normal operation of the underlying functional unit, i.e., the data acquisition and metering unit connected to the management unit, but also verifies the normal operation of the management unit.

[0017] As one possible implementation, power metering information of the target verification object is collected during the metering verification period. Power input metering verification analysis is then performed to generate power input metering verification results, including: determining the power voltage input curve during the metering verification period based on the power metering information; obtaining the power voltage input threshold range and the allowable over-limit time threshold for the power voltage input of the target verification object; and determining the power voltage input difference data exceeding the power voltage input threshold range during the metering verification period based on the power voltage input threshold range and the power voltage input curve, and accumulating this over-voltage amount based on the over-limit time. Set the input overpressure accumulation threshold. And based on the input overpressure accumulation Determine the percentage of accumulated overpressure. ,in, Based on the power supply voltage input difference data, determine the duration of each discrete overpressure event within the metering verification period. Then, based on the permissible overpressure input time limit threshold, determine the difference between each overpressure event duration and the permissible overpressure input time limit threshold. Finally, based on all the differences in individual overpressure durations, determine the cumulative overpressure duration difference. Set the cumulative threshold for input overpressure time limit. And based on the cumulative overpressure duration difference Determine the cumulative percentage of input overpressure time limit. ,in, .

[0018] In this invention, the verification of power input metering mainly considers whether the power voltage input to the management unit is normal. The normality of the input voltage affects the normal operation of the management unit, and indirectly verifies the normal operation of the transformer and other voltage regulating units. The functional unit's ability to withstand input voltage fluctuations does not necessarily limit the voltage value to the maximum or minimum allowable value, but rather allows for a certain tolerance period after exceeding it. Therefore, during analysis, the presence of abnormal input voltage is characterized in two ways: the accumulation of the excess voltage over time and the accumulation of the excess duration over time. Both of these verify and confirm the tolerance limits of the functional power supply related to the input voltage. Of course, characterizing it as a percentage of the tolerance limit is more direct and identifiable.

[0019] One possible implementation involves collecting storage measurement information of the target verification object during the measurement verification period, performing storage measurement verification analysis, and generating storage measurement verification result information. This includes: determining the storage speed curve during the measurement verification period based on the storage measurement information, and obtaining the storage speed threshold range of the target verification object; determining the storage speed difference data exceeding the storage speed threshold range during the measurement verification period based on the storage speed threshold range and the storage speed curve, and accumulating this difference based on the time of excess to form a cumulative storage speed anomaly. Set a threshold for cumulative storage speed. And based on the abnormal accumulation of storage speed Determine the percentage of accumulated stored inputs. ,in, Based on the stored measurement information, the data acquisition and storage frequency within a unit time period is determined. Combining the acquisition and storage frequencies within all unit time periods in chronological order, a data acquisition and storage frequency curve is formed, and the data acquisition and storage frequency threshold range for the target verification object is obtained. Based on the data acquisition and storage frequency threshold range and the data acquisition and storage frequency curve, the data acquisition and storage frequency difference data exceeding the threshold range during the measurement verification period is determined, and accumulated based on the time of excess, forming an abnormal cumulative amount of data acquisition and storage frequency. Set the threshold for the cumulative amount of data collected and stored. And based on the abnormal accumulation amount of the collection and storage frequency. Determine the cumulative percentage of the collected and stored frequency. ,in, .

[0020] In this invention, the verification of storage metering primarily considers the dynamic data stored. Dynamic data directly affects the storage effect and indirectly relates to the management unit's control over storage performance. In this application, the verified dynamic data includes storage speed and storage frequency. Storage speed mainly refers to the amount of data stored per unit time, characterizing storage efficiency and determining whether data loss due to data storage lag exists in real-time storage. Storage frequency determines whether the smart meter collects data according to the set storage frequency, ensuring the reasonableness and validity of the stored data, and also representing the management unit's normal implementation of storage frequency control. Similarly, representing this as a percentage with storage parameter limitations provides more directness and identifiability.

[0021] As one possible implementation, sampled metrological information of the target verification object is collected during the metrological verification period, and sampled metrological verification analysis is performed to generate sampled metrological verification result information. This includes: acquiring real-time voltage and current values ​​through transmission communication during the metrological verification period, and generating real-time voltage and current curves respectively; acquiring all voltage and current sampled values ​​of the target verification object during the metrological verification period, and generating voltage and current sampled curves respectively; and setting a voltage deviation cumulative threshold. Based on the real-time voltage curve and the voltage sampling curve, the cumulative voltage deviation during the metering verification period is determined. And based on the voltage deviation from the cumulative threshold Determine the cumulative percentage deviation of voltage sampling. ,in, Set current deviation from cumulative threshold Based on the real-time current curve and the current sampling curve, the cumulative current deviation during the metering verification period is determined. And based on the current deviation from the cumulative threshold Determine the cumulative percentage deviation of the current sampling. ,in, .

[0022] In this invention, the verification of sampling measurement mainly determines whether the sampling function unit is operating normally and whether the verification management unit is properly controlling and managing data sampling. This application primarily considers whether the sampling voltage and sampling current data are normal when verifying the sampling measurement. By comparing the data with the voltage and current data directly obtained from the upper-level data center, it accurately determines whether there are any unacceptable errors in the sampling data.

[0023] One possible approach is to acquire historical metrological verification result data and, based on the metrological verification analysis results data, perform a comprehensive metrological verification analysis on the target verification object to generate comprehensive metrological verification analysis result data, including: based on the percentage of accumulated overpressure input. Input overpressure time limit cumulative percentage , percentage of accumulated storage input Percentage of cumulative data collection and storage frequency Accumulated percentage deviation of voltage sampling and the cumulative percentage deviation of current sampling Percentage parameters exceeding 100% are identified as validation analysis percentage parameters. The minimum validation percentage value for which only a single validation analysis percentage parameter causes validation failure is determined within the historical metrological validation results data. Based on the minimum validation percentage value corresponding to each validation analysis percentage parameter, historical metrological validation results data where the percentage values ​​of all validation analysis percentage parameters are less than the corresponding minimum validation percentage value and validation failed are extracted. The minimum cumulative percentage value for the following validation failure cumulative analysis formula is then determined: ,in, , , , , , All are the minimum validation percentage values ​​of the corresponding validation analysis percentage parameters, where m is the validation parameter, and m can be 0 or 1; based on the percentage of cumulative input overpressure obtained during the measurement validation period. Input overpressure time limit cumulative percentage , percentage of accumulated storage input Percentage of cumulative data collection and storage frequency Accumulated percentage deviation of voltage sampling and the cumulative percentage deviation of current sampling The real-time verification percentage value of the cumulative verification failure analysis formula is determined, and the following analysis and judgment are performed: If the percentage corresponding to each verification analysis percentage parameter is less than the corresponding minimum verification percentage value, and the real-time verification percentage value is less than the minimum cumulative percentage value, then a verification pass message is generated; if the percentage corresponding to any verification analysis percentage parameter is greater than or equal to the corresponding minimum verification percentage value, then a verification failure message is generated; if the percentage corresponding to each verification analysis percentage parameter is less than the corresponding minimum verification percentage value, but the real-time verification percentage value is greater than or equal to the minimum cumulative percentage value, then a verification failure message is generated.

[0024] In this invention, simply verifying different metering aspects and then providing maintenance reminders does not improve the maintainability of smart meters; on the contrary, it increases the frequency and ineffectiveness of maintenance, while also reducing the performance of the smart meter. Therefore, to ensure maintainability, a comprehensive analysis of all valid metering verification information is necessary. Unlike common methods that assign weights to different verification metering aspects to determine a reference value for comprehensive verification analysis, this application determines whether verification is successful and identifies maintenance needs by analyzing the verification limitations of individual metering parameters based on historical verification data and conducting a comprehensive comparative analysis of corresponding parameter types within permissible reasonable parameters. This approach significantly extends the lifespan of smart meters while fully ensuring and utilizing their usability. Furthermore, compared to single-meter verification analysis, comprehensive verification analysis greatly reduces unnecessary maintenance work, optimizes maintenance operations, improves maintenance efficiency, and also saves on maintenance costs to some extent.

[0025] Secondly, the present invention provides an energy meter capable of legally verifying a management unit. The energy meter capable of legally verifying a management unit is configured to: determine a target verification object and perform security verification on the target verification object to generate security verification result data; based on the security verification result data, establish a communication connection with the target verification object to obtain the metering data of the target verification object, and perform metering verification analysis on the target verification object based on the metering data to generate metering verification analysis result data; obtain historical metering verification result data, and perform comprehensive verification-based metering verification analysis on the target verification object based on the metering verification analysis result data to generate comprehensive metering verification analysis result data.

[0026] In this invention, the energy meter is configured with functional units that fully realize comprehensive verification of the smart energy meter to ensure the smooth implementation of the verification. On the one hand, it enables efficient and reasonable processing and analysis of verification data, improving the efficiency of verification analysis; on the other hand, it enables intelligent verification analysis, providing a stable material basis for the verification analysis of the smart energy meter.

[0027] The beneficial effects of the energy meter and verification method for validating the management unit provided by this invention are as follows: This method first performs identity security verification analysis on the target verification object to determine that the data communication between the target verification object and the upper-level data center is secure and effective, effectively ensuring the correctness of subsequent verification analysis and the security of data communication between the target verification object and the upper-level data center. Simultaneously, based on security verification, it extracts and analyzes maintenance-based verification information for important metering information, forming a comprehensive verification analysis result. On the one hand, the selection and analysis of verification items based on maintenance is more closely aligned with maintenance requirements, providing direct and accurate maintenance reference information for smart meter maintenance. On the other hand, it avoids unnecessary maintenance processing caused by singular verification judgments. Comprehensive verification analysis can fully guarantee the continued applicability of smart meters within a reasonable operating deviation range, ensuring the effectiveness of each maintenance, greatly optimizing maintenance operations and improving maintenance efficiency while saving maintenance costs.

[0028] This energy meter ensures the smooth implementation of smart energy meter verification by configuring functional units that fully realize comprehensive verification of smart energy meters. On the one hand, it enables efficient and reasonable processing and analysis of verification data, improving the efficiency of verification analysis; on the other hand, it enables intelligent verification analysis, providing a stable material foundation for the verification analysis of smart energy meters. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments of the present invention will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a flowchart illustrating the steps of a verification method for validating a management unit, as provided in an embodiment of the present invention. Detailed Implementation

[0031] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention.

[0032] With scientific progress and social development, the practice of conducting door-to-door inspections for exceeding electricity consumption limits is gradually becoming a thing of the past. Smart meters are becoming increasingly popular and can remotely monitor electricity consumption through communication, avoiding the inconvenience of door-to-door inspections and greatly improving the efficiency and effectiveness of electricity data management.

[0033] Because smart meters employ intelligent functional modules and utilize their management units to manage and control meter parameter data, it is crucial to ensure the normal and stable operation of these management units. To guarantee this, regular verification of smart meters is indispensable, enabling timely detection of anomalies and prompt initial maintenance responses, effectively safeguarding the electricity interests of businesses and users. Currently, smart meter verification is not accurate or efficient. In most cases, it involves independent analysis and judgment of certain key information, lacking consideration for maintainability-related verification analysis, leading to increased maintenance costs and unsatisfactory maintenance results.

[0034] refer to Figure 1 This invention provides a verification method for legitimately verifying management units. This method first performs identity security verification analysis on the target verification object to determine that the data communication between the target verification object and the upper-level data center is secure and effective, effectively ensuring the correctness of subsequent verification analysis and the security of the data communication between the target verification object and the upper-level data center. Simultaneously, based on security verification, it extracts and analyzes maintenance-based verification information for important metering information, forming a comprehensive verification analysis result. On the one hand, the selection and analysis of verification items based on maintenance is more closely aligned with maintenance requirements, providing direct and accurate maintenance reference information for smart meter maintenance. On the other hand, it avoids unnecessary maintenance processing caused by singular verification judgments. Comprehensive verification analysis can fully ensure the continued applicability of smart meters within a reasonable operating deviation range, ensuring the effectiveness of each maintenance, greatly optimizing maintenance operations and improving maintenance efficiency while saving maintenance costs.

[0035] The verification method for validating the management unit specifically includes the following steps: S1: Determine the target verification object, perform security verification on the target verification object, and generate security verification result data.

[0036] Identify the target verification object and perform security verification on the target verification object to generate security verification result data, including: verifying the identity of the target verification object and updating the identity information of the target verification object based on the identity verification result; extracting the communication transmission information of the target verification object based on the identity verification result and performing information integrity analysis on the communication transmission information to generate information integrity analysis results.

[0037] Security verification of the target verification object mainly includes two aspects: one is identity verification, which determines that the communication between the upper-level data center and the target verification object is normal and secure. The other is the verification of communication data integrity, which considers that even if a secure communication connection is established between the upper-level data center and the target verification object, data loss or corruption may still occur during communication. Therefore, it is necessary to ensure the integrity of communication data transmission to verify the normal operation of the communication connection.

[0038] The process of authenticating the target verification object and updating its identity information based on the authentication result includes: determining the corresponding current authentication function based on the target verification object's target number, and generating a random verification code based on the authentication function; sending the random verification code to the target verification object and obtaining a random feedback code generated by the current feedback function based on the random verification code; determining the corresponding current comparison feedback function based on the target number, and generating a random comparison code based on the random verification code; performing authentication comparison judgment based on the random feedback code and the random comparison code in the following manner: if the random feedback code and the random comparison code are different, an authentication error warning message is generated; if the random feedback code and the random comparison code are the same, an authentication correct message is generated; based on the authentication correct message, the current comparison feedback function is adjusted to form a new current comparison feedback function, and the new current comparison feedback function is sent to the target verification object to replace the current feedback function, thus forming a new current feedback function.

[0039] This application performs authentication analysis between the upper-level data center and the target verification object by utilizing a random function. Different smart meters have different serial numbers. By configuring a corresponding random function for each smart meter with its unique serial number, the independence of the security verification for each smart meter is ensured. A verification code generated by the random function is sent to the target verification object. The target verification object generates a feedback code based on the verification code and sends it back to the upper-level data center. The upper-level data center not only stores the corresponding random function but also a comparison function identical to that of the target verification object to generate a comparison code. The security of the communication is determined by identifying the differences between the comparison code and the feedback code. Of course, after completing the security verification, to improve the effectiveness of subsequent security verifications, the upper-level data center will generate a new function and provide it to the target verification center.

[0040] Based on the authentication results, the communication transmission information of the target verification object is extracted, and information integrity analysis is performed on the communication transmission information to form information integrity analysis results. These results include: after successful authentication, determining the data collection requirements corresponding to the target verification object, and randomly determining n collection requirement time points and corresponding requirement information; based on the determined n collection requirement time points, extracting the communication transmission information sent by the target verification object at each collection requirement time point, and extracting all parameters from each communication transmission information to form a communication transmission parameter set; based on the requirement information corresponding to each collection requirement time point, determining the corresponding requirement parameter information; and comparing each communication transmission parameter set with the corresponding requirement parameter information for the following integrity judgment: if the parameter type in the requirement parameter information is consistent with the parameter type in the corresponding requirement parameter information, then the information requirement is complete; if the parameter type in the requirement parameter information is inconsistent with the parameter type in the corresponding requirement parameter information, then the information requirement is incomplete.

[0041] The acquisition of data from target verification objects by the upper-level data center is mostly based on requirements, and these requirements are not always the same. This leads to differences in the types of parameters required from the target verification object for different requirements. Therefore, by randomly acquiring requirement information and corresponding time points from multiple upper-level data centers, and then determining the target verification object data extracted at the synchronization point, a comparison of parameter types based on requirements can accurately determine whether any data transmission loss or omission has occurred. Here, two points should be noted regarding the random acquisition of requirement information: first, ensure that different requirement information has differences in parameter types, thus clearly determining whether data transmission is based on changing requirements; second, the amount of random collection can be set as needed, or determined through margin analysis based on integrity verification, i.e., at what quantity is sufficient to accurately determine integrity.

[0042] S2: Based on the security verification result data, establish a communication connection with the target verification object, obtain the measurement data of the target verification object, and perform measurement verification analysis on the target verification object based on the measurement data to form measurement verification analysis result data.

[0043] Based on the security verification results, a communication connection is established with the target verification object to obtain its metering data. Based on this metering data, a metering verification analysis is performed on the target verification object to generate metering verification analysis results data. This includes: establishing a communication connection with the target verification object after verifying correct identity information and complete information requirements; collecting power metering information from the target verification object during the metering verification period, performing power input metering verification analysis, and generating power input metering verification results information; collecting stored metering information from the target verification object during the metering verification period, performing stored metering verification analysis, and generating stored metering verification results information; collecting sampled metering information from the target verification object during the metering verification period, performing sampled metering verification analysis, and generating sampled metering verification results information; and combining the power input metering verification results information, stored metering verification results information, and sampled metering verification results information to generate metering verification analysis results data.

[0044] After completing security verification, the security of communication and the integrity of data transmission between the upper-level data center and the target verification object can be guaranteed. Based on this, the functional verification and analysis of the smart meter can then be conducted. This study considers the maintenance content and maintainability of the smart meter, focusing on data verification in three aspects: power input voltage metering, storage metering, and sampling metering. This not only verifies the normal operation of the underlying functional unit (the data acquisition and metering unit connected to the management unit) but also verifies the normal operation of the management unit.

[0045] The process involves collecting power metering information of the target verification object during the metering verification period, performing power input metering verification analysis, and generating power input metering verification results. This includes: determining the power voltage input curve during the metering verification period based on the power metering information; obtaining the power voltage input threshold range and the allowable over-limit time threshold for the power voltage input of the target verification object; and determining the power voltage input difference data exceeding the power voltage input threshold range during the metering verification period based on the power voltage input threshold range and the power voltage input curve, and accumulating this over-voltage amount based on the over-limit time. Set the input overpressure accumulation threshold. And based on the input overpressure accumulation Determine the percentage of accumulated overpressure. ,in, Based on the power supply voltage input difference data, determine the duration of each discrete overpressure event within the metering verification period. Then, based on the permissible overpressure input time limit threshold, determine the difference between each overpressure event duration and the permissible overpressure input time limit threshold. Finally, based on all the differences in individual overpressure durations, determine the cumulative overpressure duration difference. Set the cumulative threshold for input overpressure time limit. And based on the cumulative overpressure duration difference Determine the cumulative percentage of input overpressure time limit. ,in, .

[0046] Verification of power input metering primarily considers whether the power supply voltage input to the management unit is normal. The normality of the input voltage affects the normal operation of the management unit, and indirectly verifies the normal operation of transformers and other voltage regulation units. The functional unit's ability to withstand input voltage fluctuations does not necessarily limit the voltage value to the maximum or minimum allowable value, but rather allows for a certain tolerance period after exceeding it. Therefore, the analysis characterizes the input voltage anomaly in two ways: the cumulative amount of excess voltage over time and the cumulative duration of excess voltage over time. Both of these verify and confirm the tolerance limits of the power supply related to the input voltage. Of course, characterizing it as a percentage of the tolerance limit is more direct and easily identifiable.

[0047] The storage metrology information of the target verification object is collected during the metrology verification period. Storage metrology verification analysis is performed to generate storage metrology verification results, including: determining the storage speed curve during the metrology verification period based on the storage metrology information, and obtaining the storage speed threshold range of the target verification object; determining the storage speed difference data exceeding the storage speed threshold range during the metrology verification period based on the storage speed threshold range and the storage speed curve, and accumulating this difference based on the time of excess to form a cumulative storage speed anomaly. Set a threshold for cumulative storage speed. And based on the abnormal accumulation of storage speed Determine the percentage of accumulated stored inputs. ,in, Based on the stored measurement information, the data acquisition and storage frequency within a unit time period is determined. Combining the acquisition and storage frequencies within all unit time periods in chronological order, a data acquisition and storage frequency curve is formed, and the data acquisition and storage frequency threshold range for the target verification object is obtained. Based on the data acquisition and storage frequency threshold range and the data acquisition and storage frequency curve, the data acquisition and storage frequency difference data exceeding the threshold range during the measurement verification period is determined, and accumulated based on the time of excess, forming an abnormal cumulative amount of data acquisition and storage frequency. Set the threshold for the cumulative amount of data collected and stored. And based on the abnormal accumulation amount of the collection and storage frequency. Determine the cumulative percentage of the collected and stored frequency. ,in, .

[0048] Verification of storage metering primarily considers the dynamic data stored, which directly impacts storage effectiveness and indirectly relates to the management unit's control over storage performance. In this application, the verified dynamic data includes storage speed and storage frequency. Storage speed mainly refers to the amount of data stored per unit time, characterizing storage efficiency and determining whether data loss occurs due to data storage lag in real-time storage. Storage frequency determines whether the smart meter collects data according to the set storage frequency, ensuring the reasonableness and validity of the stored data, and also representing the management unit's ability to properly control the storage frequency. Similarly, representing this as a percentage of storage parameter limitations provides more directness and identifiability.

[0049] The system collects sampled metrological information of the target verification object during the metrological verification period, performs sampled metrological verification analysis, and generates sampled metrological verification results, including: acquiring real-time voltage and current values ​​via transmission communication during the metrological verification period and generating real-time voltage and current curves respectively; acquiring all voltage and current sampled values ​​of the target verification object during the metrological verification period and generating voltage and current sampled curves respectively; and setting a cumulative voltage deviation threshold. Based on the real-time voltage curve and the voltage sampling curve, the cumulative voltage deviation during the metering verification period is determined. And based on the voltage deviation from the cumulative threshold Determine the cumulative percentage deviation of voltage sampling. ,in, Set current deviation from cumulative threshold Based on the real-time current curve and the current sampling curve, the cumulative current deviation during the metering verification period is determined. And based on the current deviation from the cumulative threshold Determine the cumulative percentage deviation of the current sampling. ,in, .

[0050] The verification of sampling measurement mainly determines whether the sampling function unit is operating normally and whether the verification management unit is properly controlling and managing data sampling. This application primarily verifies the sampling measurement by considering whether the sampled voltage and current data are normal. The data is compared directly with the voltage and current data obtained from the upper-level data center to accurately determine whether there are any unacceptable errors in the sampled data.

[0051] S3: Obtain historical metrological verification result data, and based on the metrological verification analysis result data, conduct metrological verification analysis on the target verification object based on comprehensive verification to form metrological verification comprehensive analysis result data.

[0052] Acquire historical metrological verification results data, and based on the metrological verification analysis results data, conduct a comprehensive metrological verification analysis on the target verification object to form comprehensive metrological verification analysis results data, including: based on the percentage of accumulated overpressure input. Input overpressure time limit cumulative percentage , percentage of accumulated storage input Percentage of cumulative data collection and storage frequency Accumulated percentage deviation of voltage sampling and the cumulative percentage deviation of current sampling Percentage parameters exceeding 100% are identified as validation analysis percentage parameters. The minimum validation percentage value for which only a single validation analysis percentage parameter causes validation failure is determined within the historical metrological validation results data. Based on the minimum validation percentage value corresponding to each validation analysis percentage parameter, historical metrological validation results data where the percentage values ​​of all validation analysis percentage parameters are less than the corresponding minimum validation percentage value and validation failed are extracted. The minimum cumulative percentage value for the following validation failure cumulative analysis formula is then determined: ,in, , , , , , All are the minimum validation percentage values ​​of the corresponding validation analysis percentage parameters, where m is the validation parameter, and m can be 0 or 1; based on the percentage of cumulative input overpressure obtained during the measurement validation period. Input overpressure time limit cumulative percentage , percentage of accumulated storage input Percentage of cumulative data collection and storage frequency Accumulated percentage deviation of voltage sampling and the cumulative percentage deviation of current sampling The real-time verification percentage value of the cumulative verification failure analysis formula is determined, and the following analysis and judgment are performed: If the percentage corresponding to each verification analysis percentage parameter is less than the corresponding minimum verification percentage value, and the real-time verification percentage value is less than the minimum cumulative percentage value, then a verification pass message is generated; if the percentage corresponding to any verification analysis percentage parameter is greater than or equal to the corresponding minimum verification percentage value, then a verification failure message is generated; if the percentage corresponding to each verification analysis percentage parameter is less than the corresponding minimum verification percentage value, but the real-time verification percentage value is greater than or equal to the minimum cumulative percentage value, then a verification failure message is generated.

[0053] Simply verifying different metering aspects and then providing maintenance reminders does not improve the maintainability of smart meters. On the contrary, it increases the frequency and ineffectiveness of maintenance, while also reducing the performance of the smart meter. Therefore, to ensure maintainability, a comprehensive analysis of all valid metering verification information is necessary. Unlike common methods that assign weights to different verification metering aspects to determine a reference value for comprehensive verification analysis, this application uses verification limitation analysis of individual metering parameters based on historical verification data and a comprehensive comparative analysis of corresponding parameter types under permissible reasonable parameters to determine whether verification is successful and to identify maintenance needs. This can significantly extend the lifespan of smart meters while fully ensuring and utilizing their usability. Furthermore, compared to single-meter verification analysis, comprehensive verification analysis can greatly reduce unnecessary maintenance work, optimize maintenance operations, improve maintenance efficiency, and save maintenance costs to some extent.

[0054] The present invention also provides an energy meter capable of legally verifying a management unit. The energy meter capable of legally verifying a management unit is configured to: determine a target verification object and perform security verification on the target verification object to generate security verification result data; based on the security verification result data, establish a communication connection with the target verification object to obtain the metering data of the target verification object, and perform metering verification analysis on the target verification object based on the metering data to generate metering verification analysis result data; obtain historical metering verification result data, and perform comprehensive verification-based metering verification analysis on the target verification object based on the metering verification analysis result data to generate comprehensive metering verification analysis result data.

[0055] This energy meter ensures the smooth implementation of smart energy meter verification by configuring functional units that fully realize comprehensive verification of smart energy meters. On the one hand, it enables efficient and reasonable processing and analysis of verification data, improving the efficiency of verification analysis; on the other hand, it enables intelligent verification analysis, providing a stable material foundation for the verification analysis of smart energy meters.

[0056] In summary, the beneficial effects of the energy meter and verification method for validating the management unit provided by the embodiments of the present invention are as follows: This method first performs identity security verification analysis on the target verification object to determine that the data communication between the target verification object and the upper-level data center is secure and effective, effectively ensuring the correctness of subsequent verification analysis and the security of data communication between the target verification object and the upper-level data center. Simultaneously, based on security verification, it extracts and analyzes maintenance-based verification information for important metering information, forming a comprehensive verification analysis result. On the one hand, the selection and analysis of verification items based on maintenance is more closely aligned with maintenance requirements, providing direct and accurate maintenance reference information for smart meter maintenance. On the other hand, it avoids unnecessary maintenance processing caused by singular verification judgments. Comprehensive verification analysis can fully guarantee the continued applicability of smart meters within a reasonable operating deviation range, ensuring the effectiveness of each maintenance, greatly optimizing maintenance operations and improving maintenance efficiency while saving maintenance costs.

[0057] This energy meter ensures the smooth implementation of smart energy meter verification by configuring functional units that fully realize comprehensive verification of smart energy meters. On the one hand, it enables efficient and reasonable processing and analysis of verification data, improving the efficiency of verification analysis; on the other hand, it enables intelligent verification analysis, providing a stable material foundation for the verification analysis of smart energy meters.

[0058] In the embodiments of this application, "instruction" can include direct and indirect instructions, as well as explicit and implicit instructions. The information indicated by a certain piece of information is called the information to be instructed. In the specific implementation process, there are many ways to instruct the information to be instructed, such as, but not limited to, directly instructing the information to be instructed, such as the information to be instructed itself or its index. It can also indirectly instruct the information to be instructed by instructing other information, where there is a relationship between the other information and the information to be instructed. It can also instruct only a part of the information to be instructed, while the other parts are known or pre-agreed upon. For example, the instruction of specific information can be achieved by using a pre-agreed (e.g., protocol-defined) arrangement of various pieces of information, thereby reducing instruction overhead to some extent. At the same time, common parts of various pieces of information can be identified and uniformly indicated to reduce the instruction overhead caused by individually indicating the same information.

[0059] Furthermore, the specific indication method can also be any existing indication method, such as, but not limited to, the above-mentioned indication methods and their various combinations. Specific details of various indication methods can be found in existing technologies, and will not be repeated here. As described above, for example, when multiple pieces of information of the same type need to be indicated, the indication methods for different pieces of information may differ. In the specific implementation process, the required indication method can be selected according to specific needs. This application embodiment does not limit the selected indication method; therefore, the indication methods involved in this application embodiment should be understood to cover various methods that enable the party to be indicated to obtain the information to be indicated.

[0060] It should be understood that the information to be indicated can be sent as a whole or divided into multiple sub-information messages sent separately, and the sending period and / or timing of these sub-information messages can be the same or different. The specific sending method is not limited in this application embodiment. The sending period and / or timing of these sub-information messages can be predefined, for example, according to a protocol, or configured by the sending device by sending configuration information to the receiving device.

[0061] "Predefined" or "pre-configured" can be achieved by pre-saving corresponding codes, tables, or other means that can be used to indicate relevant information in the device. This application does not limit the specific implementation method. "Saving" can refer to saving in one or more memories. These memories can be separate installations or integrated into the encoder, decoder, processor, or communication device. Alternatively, some memories can be separately installed, while others are integrated into the decoder, processor, or communication device. The type of memory can be any form of storage medium, and this application does not limit this.

[0062] The “protocol” mentioned in the embodiments of this application may refer to a protocol family in the field of communication, a standard protocol with a similar protocol family frame structure, or a related protocol applied to future communication systems. The embodiments of this application do not specifically limit this.

[0063] In the embodiments of this application, descriptions such as "when," "under the circumstances," "if," and "if" all refer to the device making corresponding processing under certain objective circumstances, and are not limited to a specific time. They do not require the device to make a judgment action during implementation, nor do they imply any other limitations.

[0064] In the description of the embodiments of this application, unless otherwise stated, " / " indicates that the objects before and after are in an "or" relationship. For example, A / B can represent A or B. "And / or" in the embodiments of this application is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone, where A and B can be singular or plural. Furthermore, in the description of the embodiments of this application, unless otherwise stated, "multiple" refers to two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. Additionally, to facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or order of execution, and that "first," "second," etc., are not necessarily different. Furthermore, in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate that something is being used as an example, illustration, or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner for ease of understanding.

[0065] It should be understood that the processor in the embodiments of this application can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0066] It should also be understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0067] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0068] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0069] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0070] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0071] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0072] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0073] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0074] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0075] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0076] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0077] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A verification method for validating the legitimacy of a management unit, characterized in that, include: Identify the target verification object, perform security verification on the target verification object, and generate security verification result data; Based on the security verification result data, a communication connection is established with the target verification object to obtain the measurement data of the target verification object, and measurement verification analysis is performed on the target verification object based on the measurement data to form measurement verification analysis result data; Historical metrological verification result data is obtained, and based on the metrological verification analysis result data, a comprehensive metrological verification analysis is performed on the target verification object to form comprehensive metrological verification analysis result data.

2. The verification method for validating the management unit according to claim 1, characterized in that, The process of determining the target verification object and performing security verification on the target verification object to generate security verification result data includes: The target verification object is authenticated, and its identity information is updated based on the authentication result. Based on the authentication result, the communication transmission information of the target authentication object is extracted, and the communication transmission information is subjected to information integrity analysis to form an information integrity analysis result.

3. The verification method for validating the management unit according to claim 2, characterized in that, The step of authenticating the target verification object and updating the identity information of the target verification object based on the authentication result includes: Based on the target number of the target verification object, determine the corresponding current authentication function, and generate a random verification code based on the authentication function; Send the random verification code to the target verification object, and obtain the random feedback code generated by the target verification object from the current feedback function based on the random verification code; Based on the target number, determine the corresponding current comparison feedback function, and generate a random comparison code based on the random verification code; Based on the random feedback code and the random comparison code, the following identity verification comparison is performed: If the random feedback code is different from the random comparison code, an authentication error warning message is generated; If the random feedback code is the same as the random comparison code, then the identity verification is correct. Based on the correct authentication information, the current comparison feedback function is adjusted to form a new current comparison feedback function, and the new current comparison feedback function is sent to the target authentication object to replace the current feedback function, thus forming a new current feedback function.

4. The verification method for validating the management unit according to claim 3, characterized in that, The step of extracting the communication transmission information of the target verification object based on the authentication result, and performing information integrity analysis on the communication transmission information to form an information integrity analysis result includes: Once the identity verification information is correctly generated, the data collection requirement information corresponding to the target verification object is determined, and n collection requirement time points and corresponding requirement information are randomly determined. Based on the determined n collection requirement time points, extract the communication transmission information sent by the target verification object at each collection requirement time point, and extract all parameters in each communication transmission information to form a communication transmission parameter set; Based on the demand information corresponding to each of the aforementioned collection demand time points, determine the corresponding demand parameter information; Each set of communication transmission parameters is compared with the corresponding requirement parameter information for the following completeness judgment: If the parameter type in the requirement parameter information is consistent with the parameter type in the corresponding requirement parameter information, then complete information requirement information is formed; If the parameter type in the requirement parameter information is inconsistent with the parameter type in the corresponding requirement parameter information, then incomplete information requirement information is formed.

5. The verification method for validating the management unit according to claim 4, characterized in that, The step of establishing a communication connection with the target verification object based on the security verification result data, obtaining the measurement data of the target verification object, and performing measurement verification analysis on the target verification object based on the measurement data to form measurement verification analysis result data includes: Once the authentication correctness information and the information requirement completeness information are formed, a communication connection is established with the target authentication object; Collect the power metering information of the target verification object during the metering verification period, perform power input metering verification analysis, and generate power input metering verification result information. Collect the stored metrological information of the target verification object during the metrological verification period, perform stored metrological verification analysis, and generate stored metrological verification result information; Collect the sampling metrological information of the target verification object during the metrological verification period, perform sampling metrological verification analysis, and generate sampling metrological verification result information; The power input metering verification result information, the stored metering verification result information, and the sampled metering verification result information are combined to form the metering verification analysis result data.

6. The verification method for validating the management unit according to claim 5, characterized in that, The process involves collecting power metering information of the target verification object during the metering verification period, performing power input metering verification analysis, and generating power input metering verification result information, including: Based on the power metering information, determine the power voltage input curve during the metering verification period; Obtain the power supply voltage input threshold range and the power supply voltage input allowable over-limit time limit threshold of the target verification object; Based on the power supply voltage input threshold range and the power supply voltage input curve, determine the power supply voltage input difference data that exceeds the power supply voltage input threshold range during the metering verification period, and accumulate it based on the time of excess to form the input overvoltage accumulation Eint. Set the input overpressure accumulation threshold E0, and determine the input overpressure accumulation percentage Pe based on the input overpressure accumulation Eint, where Pe = EintE0; Based on the power supply voltage input difference data, determine each discrete overpressure duration within the metering verification period, and based on the power supply voltage input allowable overpressure duration threshold, determine the single overpressure duration difference between each overpressure duration and the power supply voltage input allowable overpressure duration threshold, and based on all the single overpressure duration differences, determine the cumulative overpressure duration difference Tint; Set an input overpressure time limit cumulative threshold T0, and determine the input overpressure time limit cumulative percentage Pt based on the cumulative overpressure time difference Tint, where Pt = TintT0.

7. The verification method for validating the management unit according to claim 6, characterized in that, The process involves collecting the stored metrological information of the target verification object during the metrological verification period, performing stored metrological verification analysis, and generating stored metrological verification result information, including: Based on the stored measurement information, determine the storage speed curve during the measurement verification period, and obtain the storage speed threshold range of the target verification object; Based on the storage speed threshold range and the storage speed curve, determine the storage speed difference data that exceeds the storage speed threshold range during the metering verification period, and accumulate it based on the time of excess to form the storage speed abnormality accumulation Vacc. Set a storage speed accumulation threshold V0, and determine the storage input accumulation percentage Pv based on the storage speed abnormal accumulation Vacc, where Pv = VaccV0; Based on the stored measurement information, the collection and storage frequency within a unit time period is determined. The collection and storage frequency within all unit time periods are combined in order of time dimension to form a collection and storage frequency curve, and the collection and storage frequency threshold range of the target verification object is obtained. Based on the acquisition and storage frequency threshold range and the acquisition and storage frequency curve, the acquisition and storage frequency difference data that exceeds the acquisition and storage frequency threshold range during the metering verification period are determined, and the data is accumulated based on the time of excess to form the acquisition and storage frequency abnormal accumulation amount Facc. Set a threshold F0 for the cumulative amount of the acquisition and storage frequency, and determine the percentage Pf of the cumulative amount of the acquisition and storage frequency based on the abnormal cumulative amount Facc of the acquisition and storage frequency, where Pf = FaccF0.

8. The verification method for validating the management unit according to claim 7, characterized in that, The process involves collecting sampled metrological information of the target verification object during the metrological verification period, performing sampled metrological verification analysis, and generating sampled metrological verification result information, including: During the metering verification period, real-time voltage and current values ​​are acquired through transmission communication, and real-time voltage curves and real-time current curves are generated respectively. During the metering verification period, all voltage and current sampling values ​​of the target verification object are acquired, and voltage sampling curves and current sampling curves are generated respectively. Set a voltage deviation cumulative threshold C0, determine the voltage deviation cumulative amount Cacc during the metering verification period based on the real-time voltage curve and the voltage sampling curve, and determine the voltage sampling deviation cumulative percentage Pc based on the voltage deviation cumulative threshold C0, where Pc = CaccC0; Set a current deviation cumulative threshold A0, determine the current deviation cumulative amount Aacc during the metering verification period based on the real-time current curve and the current sampling curve, and determine the current sampling deviation cumulative percentage Pa based on the current deviation cumulative threshold A0, where Pa = AaccA0.

9. The verification method for validating the management unit according to claim 8, characterized in that, The process of acquiring historical metrological verification result data and, based on the metrological verification analysis result data, performing a comprehensive verification-based metrological verification analysis on the target verification object to form comprehensive metrological verification analysis result data includes: The percentage parameters that exceed 100% in the following parameters are used for verification analysis: Pe, Pt, Pv, Pf, Pc, and Pa. Determine the minimum validation percentage value in the historical metrological validation result data where only a single validation analysis percentage parameter causes validation failure; Based on the minimum validation percentage value corresponding to each validation analysis percentage parameter, extract historical metrological validation result data from the historical metrological validation result data where the percentage value of each validation analysis percentage parameter is less than the corresponding minimum validation percentage value and the validation failed, and determine the minimum cumulative percentage value of the following validation failure cumulative analysis formula: Pfail=mPetextPe+mPttextPt+mPvtextPv+mPftextPf+mPctextPc+m(PatextPa), where Petext, Pttext, Pvtext, Pftext, Pctext, and Patext are the minimum validation percentage values ​​of the corresponding validation analysis percentage parameters, and m is the validation parameter, which takes the value 0 or 1. Based on the cumulative percentage of input overpressure Pe, the cumulative percentage of input overpressure time limit Pt, the cumulative percentage of stored input Pv, the cumulative percentage of acquisition and storage frequency Pf, the cumulative percentage of voltage sampling deviation Pc, and the cumulative percentage of current sampling deviation Pa obtained during the metering verification period, the real-time verification percentage value of the cumulative analysis formula for verification failure is determined, and the following analysis and judgment are performed: If the percentage corresponding to each of the verification analysis percentage parameters is less than the corresponding minimum verification percentage value, and the real-time verification percentage value is less than the minimum cumulative percentage value, then verification pass information is generated. If any of the verification analysis percentage parameters has a percentage greater than or equal to the corresponding minimum verification percentage value, a verification failure message is generated. If the percentage corresponding to each of the verification analysis percentage parameters is less than the corresponding minimum verification percentage value, but the real-time verification percentage value is greater than or equal to the minimum cumulative percentage value, then a verification failure message is generated.

10. An energy meter capable of validating the management unit, characterized in that, The energy meter, which is equipped with the ability to legally verify the management unit, is configured as follows: Identify the target verification object, perform security verification on the target verification object, and generate security verification result data; Based on the security verification result data, a communication connection is established with the target verification object to obtain the measurement data of the target verification object, and measurement verification analysis is performed on the target verification object based on the measurement data to form measurement verification analysis result data; Historical metrological verification result data is obtained, and based on the metrological verification analysis result data, a comprehensive metrological verification analysis is performed on the target verification object to form comprehensive metrological verification analysis result data.

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