A system and method for improving the reliability of power outage reporting by an electric energy meter

Abstract

The application provides a system and method for improving the power outage reporting reliability of an electric energy meter, and relates to the technical field of metering data processing.The system comprises an acquisition unit for acquiring first power outage reporting information;an analysis unit for analyzing the power outage cause to obtain a power outage analysis result; a generation unit for generating a corresponding power outage simulation signal; a simulation unit for simulating the power outage of the corresponding reporting electric energy meter through the power outage simulation signal to acquire simulation reporting information; a comparison unit for comparing the first power outage reporting information and the simulation reporting information; and an update unit for updating the state information of the reporting electric energy meter when the first power outage reporting information and the simulation reporting information are consistent.The system and method provided by the application can improve the reliability of the state information update of the reporting electric energy meter, and can also help the staff to timely understand the power outage cause of the electric energy meter and to timely process the power outage cause of the electric energy meter.

Description

Technical Field

[0001] This invention relates to the field of metering data processing technology, and in particular to a system and method for improving the reliability of power outage reporting by electricity meters. Background Technology

[0002] As a key device in the electricity consumption information collection process, the electricity meter provides crucial data support for monitoring and assessing abnormal operating conditions of distribution transformers, identifying and servicing power outages, and recognizing and verifying the connection relationships between households and transformers. With the rapid development of power grid technology, the power outage reporting function of the electricity meter has undergone multiple upgrades and replacements. It can now be implemented by actively reporting power outage events using the electricity meter's communication module. Specifically, after a power outage, the electricity meter's communication module uses its backup battery to report the outage signal to the master station.

[0003] Existing electricity meters can report power outage information to the master station via communication modules after a power outage. However, since the electricity meter's power outage reporting relies on external communication methods, if these methods are malfunctioning, the power outage information cannot be accurately reported to the master station, leading to inaccurate reports due to a lack of verification. Summary of the Invention

[0004] This invention provides a system and method to improve the reliability of power outage reporting by electricity meters, in order to solve the technical problem in the prior art that the power outage reporting of electricity meters relies on external communication means, which makes it impossible to accurately report the power outage information of electricity meters to the master station, thus resulting in inaccurate power outage reporting information due to the lack of verification means.

[0005] To achieve the above and other related objectives, the present invention provides a system for improving the reliability of power outage reporting by electricity meters, comprising: an acquisition unit for acquiring first power outage reporting information from reporting electricity meters; an analysis unit for analyzing the cause of the power outage based on the first power outage reporting information and obtaining a power outage analysis result; a generation unit for generating a corresponding power outage simulation signal based on the power outage analysis result; a simulation unit for simulating a power outage for the corresponding reporting electricity meter using the power outage simulation signal to obtain simulated reporting information; a comparison unit for comparing the first power outage reporting information and the simulated reporting information; and an update unit for updating the status information of the reporting electricity meter for reliability when the first power outage reporting information and the simulated reporting information are consistent.

[0006] In one embodiment of the present invention, the analysis unit includes: a detection subunit for detecting events in the first power outage report information; a first output subunit for directly using the power outage event as the first power outage analysis result when there is a power outage event in the first power outage report information; and a second output subunit for analyzing the first power outage report information according to a preset power outage analysis logic to obtain a second power outage analysis result when there is no power outage event in the first power outage report information.

[0007] In one embodiment of the present invention, the second output subunit includes: an association detection module, used to detect associated energy meters corresponding to the reporting energy meters based on the first power outage reporting information; a comprehensive analysis module, used to monitor the association information of associated energy meters when an associated energy meter is detected, and to determine that the current power outage type is a common cause power outage when the associated energy meter has a second power outage reporting information corresponding to the first power outage reporting information, and to obtain a comprehensive power outage analysis result by comprehensively analyzing the common cause power outage, the first power outage reporting information and the second power outage reporting information; and an independent analysis module, used to determine that the current power outage type is an independent power outage when an associated energy meter does not have a second power outage reporting information corresponding to the first power outage reporting information, and to obtain an independent power outage analysis result by independently analyzing the independent power outage and the historical power supply data corresponding to the reporting energy meters.

[0008] In one embodiment of the present invention, the comprehensive analysis module performs comprehensive analysis on common-cause power outages, first power outage reporting information, and second power outage reporting information to obtain a comprehensive power outage analysis result. This process includes: an external factor extraction submodule, used to extract factor values ​​from the first power outage reporting information and the second power outage reporting information based on the common external factors corresponding to the common-cause power outage, to obtain a first factor value corresponding to the first power outage reporting information. The second factor value corresponding to the second power outage reporting information The difference calculation submodule is used to calculate the value of the first factor. Second factor value The difference between them is calculated to obtain the factor difference. The external factor selection submodule is used to select factors greater than the difference threshold. Factor difference Corresponding common external factors By making arbitrary combinations, construct a combination of common external factors. Among them, each common external factor combination Including multiple common external factors The similarity comparison submodule is used to combine each common external factor. The set of calibrated external factors corresponding to the preset external cause of power outage Perform a similarity comparison to obtain the similarity value between the two. The similarity selection submodule is used to select similarity values. Maximum similarity As the target similarity; the first result output submodule is used when the target similarity Greater than the set threshold When the target similarity is high, the preset external cause of the power outage is used as the first comprehensive power outage analysis result; and the second result output submodule is used to output the target similarity. Less than the set threshold If this happens, the current power outage type reported by the electricity meter will be changed to independent power outage and sent to the independent analysis module.

[0009] In one embodiment of the present invention, the similarity comparison submodule includes: an external factor screening module, used to combine common external factors. The corresponding set of common external factors and the set of defined external factors The corresponding calibrated external factors are compared to obtain the same external factors; the redundant proportion calculation module is used to calculate the same quantity corresponding to the same external factors. Combination of common external factors The total amount of corresponding common external factors The proportion of excess external factors was obtained. The missing percentage calculation module is used to calculate the same quantity corresponding to the same external factors. Determine the set of external factors Corresponding calibration external factor quantity The percentage of missing external factors was obtained. The first similarity calculation module is used to calculate the similarity based on the proportion of redundant external factors. Excessive external factors Corresponding redundant weights The proportion of missing external factors and the proportion of missing external factors Corresponding missing weights The first similarity value is calculated. The second similarity calculation module is used to combine common external factors. Corresponding factor difference With the set of external factors for identification Corresponding factor difference By performing a difference comparison, a second similarity value is obtained. ; and a comprehensive similarity calculation module, used to calculate based on the first similarity value First similarity weight percentage Second similarity value and the weighting of the second similarity The similarity value is calculated. .

[0010] In one embodiment of the present invention, the independent analysis module performs independent analysis on independent power outages, first power outage reporting information, and historical power supply data corresponding to the reported energy meters to obtain independent power outage analysis results. The process includes: a diagnostic submodule, used to perform data diagnosis on the historical power supply data corresponding to the reported energy meters based on the internal factors corresponding to the independent power outages to obtain diagnostic results, wherein the internal factors include abnormal operating life factors and sudden operational anomalies; an anomaly output submodule, used to use the diagnostic result as the first independent power outage analysis result when the diagnostic result is abnormal; and a direct reporting submodule, used not to update the reliability of the reported energy meter status information when the diagnostic result is not abnormal.

[0011] In one embodiment of the present invention, the diagnostic submodule includes: a first diagnostic module, used to perform data diagnosis by reporting historical power supply data corresponding to the electricity meter, the remaining service life corresponding to the historical power supply data, and the real-time power supply data corresponding to the first power outage reporting information, so as to obtain diagnostic results corresponding to abnormal factors in the service life; and a second diagnostic module, used to perform data diagnosis by reporting power supply data of the electricity meter within a preset time before the power outage, so as to obtain diagnostic results corresponding to sudden abnormalities in operation.

[0012] In one embodiment of the present invention, the first diagnostic module includes: a model training submodule, used to obtain a life assessment model of the reported energy meter through model training based on the historical power supply data corresponding to the reported energy meter and the remaining service life corresponding to the historical power supply data; a life prediction submodule, used to input the real-time power supply data corresponding to the first power outage reporting information into the life assessment model when the reported energy meter experiences a power outage, and predict the current remaining service life of the reported energy meter through the life assessment model; and a first judgment submodule, used to judge whether the current remaining service life reaches the remaining service life threshold corresponding to the abnormal service life factor, and when the current remaining service life reaches the remaining service life threshold corresponding to the abnormal service life factor, the abnormal service life factor is used as the diagnostic result; the second diagnostic module includes: a data interception submodule, used to use the power supply data of the reported energy meter within a preset time before the power outage as abnormal sensitive data; and an index calculation submodule, used to calculate each power supply parameter in the abnormal sensitive data. Set the corresponding reliability thresholds respectively By comparison, anomaly occurrence indicators are obtained. ,in, Indicates each power supply parameter The corresponding indicator factor; and the second judgment sub-module, used to determine when an anomaly occurs. When the set threshold is reached, a sudden operational anomaly will be used as the diagnostic result.

[0013] In one embodiment of the present invention, the generation unit includes: a lookup subunit, configured to look up a calibrated power outage result that reaches a specified correlation threshold with the power outage analysis result based on the power outage analysis result; a table generation subunit, configured to generate a power outage simulation signal control table based on the calibrated power outage result, wherein the power outage simulation signal control table includes multiple power outage simulation signals, and each power outage simulation signal in the power outage simulation signal control table is sorted in order of correlation with the power outage analysis result; and a signal output subunit, configured to output each power outage simulation signal in the power outage simulation signal control table to the simulation unit in order of correlation with the power outage analysis result.

[0014] To achieve the above and other related objectives, the present invention also provides a method for improving the reliability of power outage reporting by electricity meters, comprising: acquiring first power outage reporting information of the reporting electricity meter through an acquisition unit; analyzing the cause of the power outage based on the first power outage reporting information through an analysis unit to obtain a power outage analysis result; generating a corresponding power outage simulation signal based on the power outage analysis result through a generation unit; simulating a power outage for the corresponding reporting electricity meter using the power outage simulation signal through a simulation unit to obtain simulated reporting information; comparing the first power outage reporting information and the simulated reporting information through a comparison unit; and updating the status information of the reporting electricity meter for reliability when the first power outage reporting information and the simulated reporting information are consistent through an update unit.

[0015] The beneficial effects of this invention are as follows: This invention proposes a system and method to improve the reliability of power outage reporting from electricity meters. By analyzing the first power outage report information uploaded to the main station system by the communication module corresponding to the reporting electricity meter, and generating a corresponding power outage simulation signal to resend the simulation signal to the communication module, the system determines whether the simulated report information received by the communication module is consistent with the first power outage report information. This effectively verifies the power outage report information from electricity meters, improving the reliability of updating the reported status information of electricity meters. Furthermore, based on the simulation results, the cause of the power outage can be identified in a timely manner, helping staff to address the cause of the power outage promptly. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0017] In the attached diagram:

[0018] Figure 1This is a structural block diagram of a system for improving the reliability of power outage reporting by electricity meters, provided in an embodiment of the present invention.

[0019] Figure 2 The diagram shows a flowchart illustrating a method for improving the reliability of power outage reporting by an energy meter according to an embodiment of the present invention.

[0020] The attached figures are labeled as follows:

[0021] Acquisition unit 111; Analysis unit 112; Generation unit 113; Simulation unit 114; Comparison unit 115; Update unit 116. Detailed Implementation

[0022] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0023] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0024] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0025] Please see Figure 1This invention provides a system for improving the reliability of power outage reporting by electricity meters, comprising: an acquisition unit 111 for acquiring first power outage reporting information from reporting electricity meters; an analysis unit 112 for analyzing the cause of power outage based on the first power outage reporting information and obtaining power outage analysis results; a generation unit 113 for generating a corresponding power outage simulation signal based on the power outage analysis results; a simulation unit 114 for simulating a power outage for the corresponding reporting electricity meter using the power outage simulation signal to obtain simulated reporting information; a comparison unit 115 for comparing the first power outage reporting information and the simulated reporting information; and an update unit 116 for updating the reliability of the status information of the reporting electricity meter when the first power outage reporting information and the simulated reporting information are consistent.

[0026] As can be seen from the above, during the use of the electricity meter, when a power outage occurs, the reporting electricity meter sends the first power outage report information to the system that improves the reliability of the electricity meter's power outage reporting, namely the master station system, through the communication module. After the master station system obtains the first power outage report information through the acquisition unit 111, it further analyzes the cause of the current power outage based on the first power outage report information through the analysis unit 112, thereby obtaining the corresponding power outage analysis results. Then, the generation unit 113 obtains the calibrated simulated reporting information based on the power outage analysis results, and then sends the simulated reporting information to the signal simulation module of the reporting electricity meter through the simulation unit 114. The signal simulation module then simulates the first power outage report information and sends it to the communication module, thereby realizing the power outage simulation of the corresponding reporting electricity meter through the simulated power outage signal. Then, after receiving the corresponding power outage simulation signal, the communication module will send the corresponding simulation reporting information to the main station system. The comparison unit 115 will then compare the first power outage reporting information with the simulation reporting information generated using the power outage simulation signal. If the results of the first power outage reporting information and the simulation reporting information are consistent, it means that the current power outage reporting information of the electricity meter is accurate. In other words, the reliability of the status information corresponding to the current first power outage reporting information can be updated to effectively improve the reliability of the status information corresponding to the first power outage reporting information of the electricity meter during the power outage reporting process.

[0027] Of course, the first power outage report information can also be used as a power restoration report. That is, when the power meter reports power restoration, the acquisition unit 111 acquires the power restoration report information, and then the generation unit 113 can use the power restoration report information to directly generate a corresponding power restoration simulation signal. The simulation unit 114 sends the power restoration simulation signal to the signal simulation module to realize the simulation of the power restoration signal and send it to the communication module. The communication module then sends the power restoration simulation information to the master station system so that the comparison unit 115 can compare the power restoration report information and the power restoration simulation information. If they match, the update module updates the corresponding status information at the time of power restoration to ensure the reliability of the power restoration status during the power outage reporting process.

[0028] In the reported energy meter, the signal simulation module and the communication module can be an integrated module, or they can be two independent module units.

[0029] In the system for improving the reliability of power outage reporting by the present invention, the analysis unit 112 may further include: a detection subunit for detecting events in the first power outage reporting information; a first output subunit for directly using the power outage event as the first power outage analysis result when there is a power outage event in the first power outage reporting information; and a second output subunit for analyzing the first power outage reporting information according to a preset power outage analysis logic to obtain a second power outage analysis result when there is no power outage event in the first power outage reporting information.

[0030] After obtaining the first power outage report information from the reporting energy meter through the acquisition unit 111, the detection subunit can monitor the power outage event information corresponding to the first power outage report information. If a known event exists, the first output subunit will directly output the power outage event as the first power outage analysis result to the generation unit 113. This known event can be information reported through the communication module after a power outage is manually controlled, or it can be other situations where the power outage event can be accurately known. If there is no definite power outage event in the first power outage report information, the second output subunit needs to analyze the first power outage report information according to the corresponding preset power outage analysis logic to determine the corresponding second power outage analysis result, and then send it to the generation unit 113.

[0031] The second output subunit may further include: an association detection module, used to detect associated energy meters corresponding to the reporting energy meters based on the first power outage reporting information; a comprehensive analysis module, used to monitor the association information of associated energy meters when associated energy meters are detected, and to determine the current power outage type as a common cause power outage when the associated energy meters have a second power outage reporting information corresponding to the first power outage reporting information, and to obtain a comprehensive power outage analysis result by comprehensively analyzing the common cause power outage, the first power outage reporting information and the second power outage reporting information; and an independent analysis module, used to determine the current power outage type as an independent power outage when the associated energy meters do not have a second power outage reporting information corresponding to the first power outage reporting information, and to obtain an independent power outage analysis result by independently analyzing the independent power outage and the historical power supply data corresponding to the reporting energy meters.

[0032] When analyzing the first power outage report information using the second output subunit based on the preset power outage analysis logic, the association detection module first detects the associated energy meters of the reporting energy meter according to the first power outage report information to determine whether there are any associated energy meters associated with the current reporting energy meter. These associated energy meters can be understood as one or more energy meters that are installed in the same energy meter box as the reporting energy meter or share the same set of external power wiring, etc., and have mutually related attributes. If the association detection module detects a power outage event in the first power outage report information, further association information monitoring of the associated energy meters is needed to determine whether the associated energy meters have a second power outage report information corresponding to the reporting energy meter. If not, it indicates that the possibility of a common cause power outage for the reporting energy meter is relatively small, and an internal cause analysis can be directly performed on the reporting energy meter to independently analyze and derive independent power outage analysis results based on internal factors such as abnormal operating life factors and sudden operational anomalies of the reporting energy meter. Specifically, when a related energy meter is identified, the associated energy meter is monitored using a comprehensive analysis module. If a related energy meter has a second power outage report corresponding to the first power outage report, the current power outage type of the reported energy meter can be determined to be a common-cause power outage. Simultaneously, a comprehensive power outage analysis result is obtained by performing a comprehensive analysis based on the common-cause power outage, the first power outage report, and the second power outage report. However, if no second power outage report corresponding to the first power outage report is detected for the related energy meter, it indicates that the current power outage is not a common-cause power outage but an independent power outage. An independent analysis module can then perform an independent analysis based on this independent power outage situation, using historical power supply data corresponding to the reported energy meter, to obtain an independent power outage analysis result. Finally, the obtained comprehensive power outage analysis result or independent power outage analysis result is sent to the generation unit 113.

[0033] Of course, when using the comprehensive analysis module to perform comprehensive analysis of common-cause power outages, if the common-cause power outage analysis fails, it can be converted to the power outage type corresponding to the currently reported independent power outage of the electricity meter, in order to further improve the accuracy of the reliability assessment of the first power outage report information of the reported electricity meter. Similarly, when using the independent analysis module to perform independent analysis of the reported electricity meter for independent power outages, if the independent analysis does not find the corresponding analysis results, the existence of common-cause power outages can also be considered to check whether there are common-cause power outages, thereby ensuring the accuracy of the reliability assessment of the first power outage report information of the reported electricity meter.

[0034] Specifically, the comprehensive analysis module performs a comprehensive analysis of common-cause power outages, first power outage reporting information, and second power outage reporting information to obtain the comprehensive power outage analysis results. This includes an external factor extraction submodule, which extracts factor values ​​from the first and second power outage reporting information based on the common external factors corresponding to the common-cause power outage, thereby obtaining the first factor value corresponding to the first power outage reporting information. The second factor value corresponding to the second power outage reporting information The difference calculation submodule is used to calculate the value of the first factor. Second factor value The difference between them is calculated to obtain the factor difference. The external factor selection submodule is used to select factors greater than the difference threshold. Factor difference Corresponding common external factors By making arbitrary combinations, construct a combination of common external factors. Among them, each common external factor combination Including multiple common external factors The similarity comparison submodule is used to combine each common external factor. The set of calibrated external factors corresponding to the preset external cause of power outage Perform a similarity comparison to obtain the similarity value between the two. The similarity selection submodule is used to select similarity values. Maximum similarity As the target similarity; the first result output submodule is used when the target similarity Greater than the set threshold When the target similarity is high, the preset external cause of the power outage is used as the first comprehensive power outage analysis result; and the second result output submodule is used to output the target similarity. Less than the set threshold If this happens, the current power outage type reported by the electricity meter will be changed to independent power outage and sent to the independent analysis module.

[0035] When conducting a comprehensive analysis of common-cause power outages using the comprehensive analysis module, the external factor extraction submodule can first extract factor values ​​from the first and second power outage reports based on the common external factors corresponding to the common-cause power outages. This allows us to obtain the first factor value corresponding to the first power outage report. The second factor value corresponding to the second power outage reporting information Then, the difference calculation submodule is used to process the first factor value. Second factor value The difference between the two is calculated to determine the factor difference between them. After obtaining the factor difference Then, the factor difference and difference threshold The comparison is performed, and the selection of values ​​greater than the difference threshold is achieved through the external factor selection submodule. Factor difference Corresponding common external factors Then, common external factors By combining any two or more of these factors, a combination of common external factors can be constructed. In obtaining a common combination of external factors Then, the similarity comparison submodule combines each common external factor. The set of calibrated external factors corresponding to the preset external cause of power outage A similarity comparison is performed to determine the similarity value between the two. , construct a set Then, sub-modules are selected from the set based on similarity. Select the maximum similarity As the target similarity, the first result output submodule can be used to determine the target similarity. Greater than the set threshold At that time, the preset external cause of power outage is output as the first comprehensive power outage analysis result to the generation unit 113. Meanwhile, regarding target similarity... Less than the set threshold When this happens, the second result output submodule will change the current power outage type of the reported energy meter to independent power outage and send it to the independent analysis module for independent analysis. This will determine whether there are independent power outage analysis results, thereby enabling the evaluation of the reporting reliability of the first power outage information based on the independent power outage analysis results or the comprehensive power outage analysis results.

[0036] The similarity comparison submodule may further include: an external factor screening module, used to combine common external factors. The corresponding set of common external factors and the set of defined external factors The corresponding calibrated external factors are compared to obtain the same external factors; the redundant proportion calculation module is used to calculate the same quantity corresponding to the same external factors. Combination of common external factors The total amount of corresponding common external factors The proportion of excess external factors was obtained. The missing percentage calculation module is used to calculate the same quantity corresponding to the same external factors. Determine the set of external factors Corresponding calibration external factor quantity The percentage of missing external factors was obtained. The first similarity calculation module is used to calculate the similarity based on the proportion of redundant external factors. Excessive external factors Corresponding redundant weights The proportion of missing external factors and the proportion of missing external factors Corresponding missing weights The first similarity value is calculated. The second similarity calculation module is used to combine common external factors. Corresponding factor difference With the set of external factors for identification Corresponding factor difference By performing a difference comparison, a second similarity value is obtained. ; and a comprehensive similarity calculation module, used to calculate based on the first similarity value First similarity weight percentage Second similarity value and the weighting of the second similarity The similarity value is calculated. .

[0037] The similarity comparison submodule is used to combine each common external factor. The set of calibrated external factors corresponding to the preset external cause of power outage When performing similarity comparisons, the external factor screening module can identify combinations of common external factors. The corresponding set of common external factors and the set of defined external factors The corresponding external factors that are the same as the external factors in the corresponding calibration, and the same quantities corresponding to the same external factors. Then, the excess proportion calculation module calculates the total amount of common external factors. The proportion of redundant external factors is calculated by examining the additional common external factors in the data, thus obtaining the proportion of redundant external factors. The formula can be expressed as In addition, the same quantity of the same external factors There are also external factors that are smaller than the set of calibrated factors. Corresponding calibration external factor quantity Therefore, the missing percentage calculation module can be used to calculate the same quantity corresponding to the same external factor. The proportion of missing external factors The formula can be expressed as In obtaining the proportion of excess external factors and the proportion of missing external factors Then, by considering the proportion of excess external factors... Corresponding redundant weights and the proportion of missing external factors and the proportion of missing external factors Corresponding missing weights It is possible to calculate the same quantity corresponding to the same external factors. Combination of common external factors The total amount of corresponding common external factors Determine the set of external factors Corresponding calibration external factor quantity First similarity value between The formula can be expressed as .

[0038] In addition, the common external factors are combined through the second similarity calculation module. Corresponding factor difference With the set of external factors for identification Corresponding factor difference The difference is compared to calculate the second similarity value. The formula can be expressed as Finally, the comprehensive similarity calculation module calculates the similarity based on the first similarity value. The corresponding first similarity weight percentage and the second similarity value The corresponding second similarity weight percentage The combination of each common external factor was calculated. The set of calibrated external factors corresponding to the preset external cause of power outage Similarity value between The formula can be expressed as The above similarity assessment method can achieve relatively accurate identification of each common combination of external factors. The set of calibrated external factors corresponding to the preset external cause of power outage The similarity values ​​between them are evaluated to ensure maximum similarity. The accuracy of the selection.

[0039] Additionally, when no associated electricity meter is reported, independent analysis can be performed directly using the independent analysis module to determine if an independent power outage analysis result exists. If no independent power outage analysis result exists, no reliability update is performed. Alternatively, factor values ​​can be extracted from the first power outage report from the reported electricity meter to obtain the first factor value corresponding to the first power outage report. Then compare it with the standard factor value. Compare the two factors, if the difference is... If the value exceeds the set value, then the corresponding external factors are selected to construct a combination of external factors. Then, by combining each external factor... The set of calibrated external factors corresponding to the preset external cause of power outage Perform a similarity comparison to obtain the similarity value between the two. And select similarity values Maximum similarity As target similarity. When target similarity Greater than the set threshold In this case, the corresponding preset external cause of power outage will be used as the power outage analysis result when the reported electricity meter does not have an associated electricity meter. However, if the target similarity... Less than the set threshold Similarly, the current power outage type reported by the electricity meter is changed to independent power outage and sent to the independent analysis module for further power outage analysis.

[0040] Next, the independent analysis module performs independent analysis on the independent power outage, the first power outage report information, and the historical power supply data corresponding to the reported energy meter to obtain the independent power outage analysis results. This process may further include: a diagnostic submodule, used to perform data diagnosis on the historical power supply data corresponding to the reported energy meter based on the internal factors corresponding to the independent power outage, to obtain diagnostic results. These internal factors include abnormal operating life factors and sudden operational anomalies; an anomaly output submodule, used to use the diagnostic result as the first independent power outage analysis result when the diagnostic result is abnormal; and a direct reporting submodule, used to not update the reliability of the reported energy meter status information when the diagnostic result is not abnormal.

[0041] During the independent analysis process using the independent analysis module, the diagnostic submodule can first query the internal factors corresponding to the independent power outage. Then, based on these internal factors, data diagnosis is performed on the historical power supply data corresponding to the reported energy meters to determine whether an anomaly is detected. If the diagnosis result is anomaly, the corresponding anomaly diagnosis result can be directly used as the first independent power outage analysis result. If no anomaly result is detected, the direct reporting submodule will not update the reliability of the reported energy meter status information.

[0042] The diagnostic submodule may further include: a first diagnostic module, used to perform data diagnosis by reporting historical power supply data corresponding to the electricity meter, the remaining service life corresponding to the historical power supply data, and the real-time power supply data corresponding to the first power outage report information, so as to obtain diagnostic results corresponding to abnormal factors in the service life; and a second diagnostic module, used to perform data diagnosis by reporting power supply data of the electricity meter within a preset time before the power outage, so as to obtain diagnostic results corresponding to sudden abnormalities in operation.

[0043] When performing data diagnosis through the diagnostic submodule, the first diagnostic module can be used to diagnose abnormal factors corresponding to the service life, and the second diagnostic module can be used to diagnose sudden operational anomalies. Thus, diagnostic results corresponding to abnormal factors of service life or diagnostic results corresponding to sudden operational anomalies can be obtained.

[0044] Specifically, the first diagnostic module may further include: a model training sub-module, used to obtain a life assessment model for the reported energy meter by training the model based on the historical power supply data corresponding to the reported energy meter and the remaining service life corresponding to the historical power supply data; a life prediction sub-module, used to input the real-time power supply data corresponding to the first power outage report information into the life assessment model when the reported energy meter experiences a power outage, and predict the current remaining service life of the reported energy meter through the life assessment model; and a first judgment sub-module, used to judge whether the current remaining service life reaches the remaining service life threshold corresponding to the abnormal service life factor, and when the current remaining service life reaches the remaining service life threshold corresponding to the abnormal service life factor, the abnormal service life factor is taken as the diagnostic result.

[0045] The model training sub-module uses historical power supply data corresponding to the reported electricity meter as a feature set and the remaining service life corresponding to the historical power supply data as a label. This data is then used to train a basic model to obtain a lifespan assessment model. Next, the lifespan prediction sub-module inputs the real-time power supply data corresponding to the first power outage report into the trained lifespan assessment model, directly determining the current remaining service life of the reported electricity meter. Then, the first judgment sub-module, based on the current remaining service life, determines whether it reaches the remaining service life threshold corresponding to anomaly factors. If so, the anomaly factor is used as the diagnostic result. Specifically, the anomaly caused by the exhaustion of the service life of a particular component can be used as the corresponding diagnostic result.

[0046] In addition, the second diagnostic module may further include: a data capture submodule, used to use the power supply data of the reported energy meter within a preset time before the power outage as abnormal sensitive data; and an index calculation submodule, used to calculate each power supply parameter in the abnormal sensitive data. Set the corresponding reliability thresholds respectively By comparison, anomaly occurrence indicators are obtained. ,in, Indicates each power supply parameter The corresponding indicator factor; and the second judgment sub-module, used to determine when an anomaly occurs. When the set threshold is reached, a sudden operational anomaly will be used as the diagnostic result.

[0047] When diagnosing internal factors causing sudden operational anomalies, the second diagnostic module can first use a data extraction submodule to extract power supply data within a preset time period before the power outage as sensitive anomaly data. Then, the index calculation submodule will analyze each power supply parameter from the sensitive anomaly data. Set the corresponding reliability thresholds respectively Compare to determine the difference between the two. Then, based on each power supply parameter Corresponding indicator factors To calculate one-way indicators Finally, the anomaly occurrence index is obtained by summing all unidirectional indicators. After obtaining the abnormality occurrence indicators Then, the second judgment sub-module is used to determine the anomaly occurrence indicators. Perform threshold detection, and when an anomaly occurs, the indicator... When the set threshold is reached, it indicates that the current anomaly is a sudden operational anomaly, which can be used as a diagnostic result.

[0048] In the system for improving the reliability of power outage reporting by electricity meters according to the present invention, the generation unit 113 includes: a lookup subunit, used to look up calibrated power outage results that reach a specified correlation threshold with the power outage analysis results based on the power outage analysis results; a table generation subunit, used to generate a power outage simulation signal control table based on the calibrated power outage results, wherein the power outage simulation signal control table includes multiple power outage simulation signals, and each power outage simulation signal in the power outage simulation signal control table is sorted in order of correlation with the power outage analysis results; and a signal output subunit, used to output each power outage simulation signal in the power outage simulation signal control table to the simulation unit 114 in order of correlation with the power outage analysis results.

[0049] In the process of generating the corresponding power outage simulation signal through generation unit 113, the lookup subunit first uses the power outage analysis results obtained from the analysis to find the corresponding calibrated power outage results. When there is a specified correlation between the calibrated power outage results and the power outage analysis results, the obtained multiple calibrated power outage results can be output to the table generation subunit. Then, the table generation subunit further generates the corresponding power outage simulation signal control table based on the calibrated power outage results. Then, the signal output subunit sorts each power outage simulation signal in the power outage simulation signal control table according to the degree of correlation with the power outage analysis results and outputs it to the simulation unit 114. The simulation unit 114 then sends each power outage simulation signal to the signal simulation module for information release simulation, thereby obtaining the simulated reporting information corresponding to the first power outage reporting information through the communication module. Then, the comparison unit 115 compares the first power outage report information with the simulated report information simulated using the power outage simulation signal. If the results represented by the first power outage report information and the simulated report information are consistent, it means that the current power outage report information of the electricity meter is accurate. That is, the status information corresponding to the current first power outage report information can be reliably updated by the update unit 116.

[0050] Please see Figure 2 The present invention also provides a method for improving the reliability of power outage reporting by electricity meters, comprising:

[0051] Step S10: Obtain the first power outage report information from the reporting energy meter through the acquisition unit 111;

[0052] Step S20: The analysis unit 112 analyzes the cause of the power outage based on the first power outage report information and obtains the power outage analysis result;

[0053] Step S30: The generation unit 113 generates a corresponding power outage simulation signal based on the power outage analysis results;

[0054] Step S40: The simulation unit 114 uses the power outage simulation signal to simulate the power outage of the corresponding reporting energy meter to obtain the simulated reporting information;

[0055] Step S50: Compare the first power outage report information and the simulated report information through the comparison unit 115;

[0056] Step S60: When the first power outage report information and the simulated report information are consistent, the update unit 116 performs a reliability update on the status information of the reported energy meter.

[0057] In summary, the system and method disclosed in this invention for improving the reliability of power outage reporting from electricity meters, by analyzing the first power outage report information uploaded to the main station system by the communication module corresponding to the reporting electricity meter, generating a corresponding power outage simulation signal, and then retransmitting it to the communication module, thereby determining whether the simulated reporting information received by the communication module is consistent with the first power outage report information. This effectively verifies the power outage reporting information from electricity meters, improving the reliability of updating the status information of the reported electricity meters. Furthermore, based on the simulation results, the cause of the power outage can be identified in a timely manner, helping staff to address the cause promptly. Therefore, this invention effectively overcomes the various shortcomings of the prior art and has high industrial application value.

[0058] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A system for improving the reliability of power outage reporting by electricity meters, characterized in that, include: The acquisition unit is used to acquire the first power outage report information from the reporting electricity meter; The analysis unit is used to analyze the cause of the power outage based on the first power outage report information and obtain the power outage analysis result; The generation unit is used to generate a corresponding power outage simulation signal based on the power outage analysis results; The simulation unit is used to simulate a power outage for the corresponding reporting energy meter through the power outage simulation signal, so as to obtain simulated reporting information; The comparison unit is used to compare the first power outage report information with the simulated report information; as well as An update unit is used to reliably update the status information of the reported energy meter when the first power outage report information and the simulated report information are consistent. The analysis unit includes: The detection subunit is used to perform event detection on the first power outage report information; The first output subunit is configured to directly use the power outage event as the first power outage analysis result when the first power outage report information contains a power outage event; and The second output subunit is used to analyze the first power outage report information according to a preset power outage analysis logic when the power outage event is not found in the first power outage report information, so as to obtain the second power outage analysis result. The second output subunit includes: The associated detection module is used to perform associated energy meter detection corresponding to the reporting energy meter based on the first power outage report information; The comprehensive analysis module is used to monitor the associated energy meter when its presence is detected. If the associated energy meter has a second power outage report corresponding to the first power outage report, the current power outage type is determined to be a common-cause power outage. A comprehensive analysis is then performed using the common-cause power outage, the first power outage report, and the second power outage report to arrive at a comprehensive power outage analysis result. The independent analysis module is used to determine that the current power outage type is an independent power outage when it is detected that there is no second power outage report information corresponding to the first power outage report information in the associated energy meter. The module then performs independent analysis on the independent power outage and the historical power supply data corresponding to the reporting energy meter to obtain the independent power outage analysis result.

2. The system for improving the reliability of power outage reporting by electricity meters according to claim 1, characterized in that, The comprehensive analysis module performs a comprehensive analysis of the common-cause power outage, the first power outage report information, and the second power outage report information to obtain the comprehensive power outage analysis result. This process includes: The external factor extraction submodule is used to extract factor values ​​from the first power outage report information and the second power outage report information respectively, based on the common external factors corresponding to the common cause power outage, to obtain the first factor value corresponding to the first power outage report information. The second factor value corresponding to the second power outage reporting information ; The difference calculation submodule is used to calculate the first factor value. and the second factor value The difference between them is calculated to obtain the factor difference. ; The external factor selection submodule is used to select factors greater than the difference threshold. The difference of the factors Corresponding common external factors By making arbitrary combinations, construct a combination of common external factors. Among them, each combination of common external factors Including multiple common external factors ; The similarity comparison submodule is used to combine each of the common external factors. The set of calibrated external factors corresponding to the preset external cause of power outage Perform a similarity comparison to obtain the similarity value between the two. ; The similarity selection submodule is used to select the similarity value. Maximum similarity As a measure of target similarity; The first result output submodule is used to output the target similarity. Greater than the set threshold In this case, the preset external cause of power outage will be used as the first comprehensive power outage analysis result; and The second result output submodule is used to output the target similarity. Less than the set threshold If this happens, the current power outage type of the reported energy meter will be changed to an independent power outage and sent to the independent analysis module.

3. The system for improving the reliability of power outage reporting by electricity meters according to claim 2, characterized in that, The similarity comparison submodule includes: External factor screening module, used to combine the common external factors. The corresponding common external factors and the set of labeled external factors By comparing the corresponding external factors, we found that the same external factors were identified. The redundancy percentage calculation module is used to calculate the same quantity corresponding to the same external factors. The combination of common external factors The total amount of corresponding common external factors The proportion of excess external factors was obtained. ; The missing percentage calculation module is used to calculate the same quantity corresponding to the same external factors. The set of external factors for calibration Corresponding calibration external factor quantity The percentage of missing external factors was obtained. ; The first similarity calculation module is used to calculate the proportion of redundant external factors. The proportion of the aforementioned redundant external factors Corresponding redundant weights The proportion of the aforementioned missing external factors and the proportion of the aforementioned missing external factors Corresponding missing weights The first similarity value is calculated. ; The second similarity calculation module is used to combine the common external factors. Corresponding factor difference With the set of external factors for calibration Corresponding factor difference By performing a difference comparison, a second similarity value is obtained. ;as well as A comprehensive similarity calculation module is used to calculate the similarity based on the first similarity value. First similarity weight percentage The second similarity value and the weighting of the second similarity The similarity value was calculated. .

4. The system for improving the reliability of power outage reporting by electricity meters according to claim 1, characterized in that, The independent analysis module performs independent analysis on the independent power outage, the first power outage reporting information, and the historical power supply data corresponding to the reported energy meter to obtain the independent power outage analysis results. This process includes: The diagnostic submodule is used to perform data diagnosis on the historical power supply data corresponding to the reported energy meter based on the internal factors corresponding to the independent power outage, so as to obtain the diagnostic results. The internal factors include abnormal factors of operating life and sudden abnormalities in operation. An abnormal output submodule is used to treat the diagnostic result as the first independent power outage analysis result when the diagnostic result is abnormal; and The direct reporting submodule is used to ensure that the status information of the reported energy meter is not updated reliably when the diagnostic result is not abnormal.

5. The system for improving the reliability of power outage reporting by electricity meters according to claim 4, characterized in that, The diagnostic submodule includes: The first diagnostic module is used to perform data diagnosis using historical power supply data corresponding to the reported energy meter, the remaining service life corresponding to the historical power supply data, and the real-time power supply data corresponding to the first power outage report, in order to obtain the diagnostic results corresponding to the abnormal factors in the service life; and The second diagnostic module is used to perform data diagnosis based on the power supply data of the reported energy meter within a preset time before the power outage, so as to obtain the diagnostic result corresponding to the sudden abnormality in operation.

6. The system for improving the reliability of power outage reporting by electricity meters according to claim 5, characterized in that, The first diagnostic module includes: The model training sub-module is used to obtain a life assessment model for the reported energy meter by training the model based on the historical power supply data corresponding to the reported energy meter and the remaining service life corresponding to the historical power supply data. A lifespan prediction submodule is used to input real-time power supply data corresponding to the first power outage report information into the lifespan assessment model when the reported energy meter experiences a power outage, and to predict the current remaining lifespan of the reported energy meter through the lifespan assessment model; and The first judgment sub-module is used to determine whether the current remaining service life has reached the remaining service life threshold corresponding to the abnormal service life factor. When the current remaining service life reaches the remaining service life threshold corresponding to the abnormal service life factor, the abnormal service life factor is used as the diagnostic result. The second diagnostic module includes: The data interception sub-module is used to use the power supply data of the reported energy meter within a preset time before the power outage as abnormal sensitive data. The indicator calculation submodule is used to calculate each power supply parameter in the abnormally sensitive data. Set the corresponding reliability thresholds respectively By comparison, anomaly occurrence indicators are obtained. ,in, Indicates each power supply parameter The corresponding indicator factors; and The second judgment submodule is used to determine the occurrence of the abnormality indicator. When the set indicator threshold is reached, the sudden operational anomaly is taken as the diagnostic result.

7. The system for improving the reliability of power outage reporting by electricity meters according to claim 1, characterized in that, The generation unit includes: The lookup subunit is used to find, based on the power outage analysis results, a calibration power outage result that reaches a specified correlation threshold with the power outage analysis results; A table generation subunit is used to generate a power outage simulation signal control table based on the calibrated power outage results. The power outage simulation signal control table includes multiple power outage simulation signals, and each power outage simulation signal in the control table is sorted according to its correlation with the power outage analysis results. The signal output subunit is used to sort and output each of the power outage simulation signals in the power outage simulation signal control table to the simulation unit according to the degree of correlation between them and the power outage analysis results.

8. A method for using the system for improving the reliability of power outage reporting of electricity meters as described in any one of claims 1-7, characterized in that, include: The first power outage report information from the reporting electricity meter is obtained through the acquisition unit; The analysis unit analyzes the cause of the power outage based on the first power outage report information and obtains the power outage analysis results. The generation unit generates a corresponding power outage simulation signal based on the power outage analysis results; The simulation unit uses the power outage simulation signal to simulate a power outage for the corresponding reporting energy meter, so as to obtain simulated reporting information. The comparison unit compares the first power outage report information with the simulated report information. When the first power outage report information and the simulated report information are consistent, the update unit performs a reliability update on the status information of the reporting energy meter.

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