Method and device for monitoring the state of an electric meter based on a Sankey diagram

Abstract

The present invention discloses a method and device for monitoring the state of an electric meter based on a Sankey diagram. The method includes: obtaining information of a transformer to be monitored; obtaining information of a dedicated transformer area, information of a public transformer area that can be monitored, and information of a public transformer area that cannot be monitored according to the information of the transformer to be monitored; calculating and classifying according to the electric meter parameters in the information of the dedicated transformer area, the information of the public transformer area that can be monitored, and the information of the public transformer area that cannot be monitored to obtain a classification result; calculating the proportion of each classification in the classification result to the number of transformers, and using a Sankey diagram to display the proportion; introducing a memory tracking method to follow up and supervise the situation of the transformers and give replacement suggestions. This method monitors and analyzes the state of the electric meter, uses a Sankey diagram for graphical display, and gives relevant suggestions; realizes remote dynamic monitoring of the state information of the electric meter, intuitively and accurately understands the state of the electric meter, provides convenience for the maintenance of the electric meter, reduces the troubleshooting time, and ensures the safe and stable operation of the electric meter system.

Description

Technical Field

[0001] The present invention belongs to the technical field of electricity meter status monitoring, and particularly relates to a method and device for monitoring the status of electricity meters based on a Sankey diagram. Background Art

[0002] How many computable error substations and how many non-monitorable substations (including newly built substations and abnormal substations) are there in a substation area of a city; how many normal electricity meters, electricity meters with over-limit errors, single abnormal electricity meters, and associated abnormal electricity meters are there in the electricity meters, how many electricity meters are recommended to be replaced immediately, how many are due for replacement, and how many can be postponed for replacement, which cannot be monitored currently. In the existing methods, substation area and electricity meter information are obtained from the electric energy platform, production scheduling platform, marketing system, etc., for querying substation area detailed data, classifying and counting substation areas, etc.; then querying the electricity meter detailed data to check the electricity meter alarms, status words, and abnormalities to determine faults. Finally, the maintenance department arranges on-site maintenance personnel to troubleshoot the faults. Therefore, the methods in the existing technology (i.e., the existing methods for querying the status of substation areas and electricity meters and the fault handling methods) are ordinary information query and statistical functions, without remote error calculation function, and can only measure errors on-site with instruments; no associated analysis is performed on abnormalities, and the cause of the abnormality cannot be analyzed; no comprehensive analysis is performed on the electricity meters to give replacement suggestions, and there is no monitoring interface after big data analysis and mining, which is not convenient for analysis and decision-making, and the faults are processed afterwards, which has a certain impact on user satisfaction. Since the existing electricity meter status monitoring methods cannot perform decision analysis to find out the cause of electricity meter faults, and at the same time lack error calculation, associated abnormality analysis, comprehensive electricity meter status detection, and lack of analysis, calculation, and display methods, it is not timely, accurate, and intuitive enough to reflect electricity meter faults in practical applications. Summary of the Invention

[0003] The main purpose of the present invention is to overcome the shortcomings and deficiencies of the existing technology, and provide a method and device for monitoring the status of electricity meters based on a Sankey diagram. The method classifies the information of the transformers to be monitored, calculates the proportion of each classification to the number of transformers, uses a Sankey diagram to display the proportion, and introduces a memory-based tracking method to follow up and supervise the transformer situation, and gives replacement suggestions; intuitively and accurately understand the electricity meter status information, avoid the problems of missed replacement or non-replacement, and ensure the operation safety of the electricity meter system.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] On the one hand, the present invention provides a method for monitoring the status of electricity meters based on a Sankey diagram, including the following steps:

[0006] Obtain the information of the transformers to be monitored, where the transformer information includes the transformer number, transformer name, and transformer type;

[0007] Obtain the information of dedicated transformer areas, the information of public transformer areas that can be monitored, and the information of public transformer areas that cannot be monitored according to the information of the transformer to be monitored;

[0008] Calculate and classify according to the electricity meter parameters in the information of dedicated transformer areas, the information of public transformer areas that can be monitored, and the information of public transformer areas that cannot be monitored, and obtain the classification result;

[0009] Calculate the proportion of each classification in the classification result to the number of transformers, and use a Sankey diagram to display the proportion;

[0010] Introduce a memory-based tracking method to follow up and monitor the situation of transformers, and give replacement suggestions.

[0011] As an optimal technical solution, the transformer information is obtained from the electric energy platform or the metering automation system and saved in a data table.

[0012] As an optimal technical solution, the obtaining of the classification result is specifically as follows:

[0013] Input the electricity meter parameters in the information of dedicated transformer areas into the electricity meter anomaly model for analysis and calculation;

[0014] Input the electricity meter parameters in the information of public transformer areas that can be monitored into the electricity meter error model, the electricity meter anomaly model, the electricity meter life prediction model, and the electricity meter evaluation model respectively for analysis and calculation;

[0015] Input the electricity meter parameters in the information of public transformer areas that cannot be monitored into the electricity meter anomaly model for analysis and calculation;

[0016] Classify the obtained analysis and calculation results to obtain the classification result.

[0017] As an optimal technical solution, the electricity meter error model is constructed based on the electricity meter parameter mutation-failure judgment model, and is used to calculate the voltage data, current data, power data, and power factor data in the electricity meter parameters, and judge whether the data conform to the preset electrical relationship based on the calculated data; if not, it is judged that the electricity meter has an error anomaly;

[0018] The electricity meter anomaly model is constructed based on the electricity meter hardware problem-failure judgment model, and is used to judge the consistency of the measured voltage of the power grid branch. If the difference between the measured voltage of the power grid branch and the historical measured voltage of the power grid branch is greater than the preset range, it is judged that the electricity meter has an error anomaly;

[0019] The electricity meter life prediction model is used to predict the life of the electricity meter, including the prediction time, the predicted life information, and the life score;

[0020] The electricity meter evaluation model is a combination of an electricity meter error model, an electricity meter anomaly model, and an electricity meter life prediction model, which are mutually coupled. That is, the variable data of the electricity meters on the same branch are collected. The voltage of the electricity meters on the same branch is the grid network voltage, and the deviation between the real-time voltage and the theoretical voltage of the electricity meter does not exceed the preset range. When the deviation between the real-time voltage and the theoretical voltage of the electricity meter exceeds the preset range, it is determined that the hardware of the electricity meter metering circuit fails and the life of the electricity meter deteriorates.

[0021] As a preferred technical solution, the classification results are as follows:

[0022] According to the classification of the power distribution areas, the transformers are divided into public transformers and special transformers. Among them, the public transformers include monitorable areas and non-monitorable areas. The non-monitorable areas include newly built areas and abnormal areas.

[0023] According to the classification of electricity meters, the monitorable areas include monitorable electricity meters. The newly built areas and abnormal areas include non-monitorable electricity meters. The special transformers include special electricity meters. The monitorable electricity meters include stable electricity meters, normal electricity meters, and warning electricity meters. The non-monitorable electricity meters include warning electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters. The special electricity meters include single abnormal electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters. Among them, the stable electricity meters and normal electricity meters are qualified in quality. The warning electricity meters include electricity meters with excessive errors, single abnormal electricity meters, and associated abnormal electricity meters.

[0024] According to the classification by model analysis, the qualified electricity meters in quality are divided into electricity meters due for replacement, electricity meters with a one-year extension, and electricity meters with a two-year extension. The electricity meters with excessive errors, single abnormal electricity meters, and associated abnormal electricity meters are divided into electricity meters recommended for replacement. The non-abnormal electricity meters are divided into electricity meters due for replacement, electricity meters with a one-year extension, and electricity meters with a two-year extension.

[0025] As a preferred technical solution, the use of a Sankey diagram to display the proportion is as follows:

[0026] According to the classification results, the quantities of transformers, public transformers, special transformers, monitorable areas, non-monitorable areas, newly built areas, abnormal areas, monitorable electricity meters, non-monitorable electricity meters, special electricity meters, stable electricity meters, normal electricity meters, warning electricity meters, qualified electricity meters in quality, electricity meters with excessive errors, single abnormal electricity meters, associated abnormal electricity meters, non-abnormal electricity meters, electricity meters recommended for replacement, electricity meters due for replacement, electricity meters with a one-year extension, and electricity meters with a two-year extension are displayed in the form of columns in the Sankey diagram.

[0027] As a preferred technical solution, the detailed information triggering steps for the warning electricity meter column in the Sankey diagram are as follows:

[0028] Mark the area of the warning electricity meter column and the connection point of the warning electricity meter column for a certain electricity meter.

[0029] Extract the previous Sankey diagram, and obtain the overlapping chain based on the area of the warning meter column and the connection points of the warning meter column in the previous warning. The chain includes chain points and the chain length between the chain points;

[0030] Obtain the area of the warning meter column and the connection points of the warning meter column in the current Sankey diagram to get the corresponding current overlapping chain;

[0031] Overlap the two overlapping chains, and the non-matching chain points jump out;

[0032] Reorganize according to the chain length until all chain points are matched to form detailed change information of the meter.

[0033] As a preferred technical solution, the memory tracking method is introduced to follow up and supervise the situation of the transformer and give replacement suggestions. Specifically:

[0034] Remember the monitorable meters and non-monitorable meters that enter the warning meter column of the transformer. After remembering, a memory block is formed; the memory block only records the transformers with the same number in the later stage;

[0035] Continuously track the warning meter column of the transformer. If it is in the warning meter column of a single abnormal meter or an associated abnormal representative, it is fed back to the memory block; when the transformer with the same number enters the same warning meter column next time, it will be forced to be replaced;

[0036] If the transformer with the same number enters a different warning meter column next time, follow up and supervise it to determine whether it is a warning meter. If not, a replacement suggestion is made. Otherwise, continue with the forced replacement.

[0037] On the other hand, the present invention provides a meter status monitoring system based on a Sankey diagram, which is applied to the above-mentioned meter status monitoring method based on a Sankey diagram, and includes a transformer information acquisition module, a substation area information acquisition module, a calculation and classification module, a proportion display module, and a suggestion module;

[0038] The transformer information acquisition module is used to acquire the information of the transformer to be monitored;

[0039] The substation area information acquisition module acquires the special transformer substation area information, the monitorable public transformer substation area information, and the non-monitorable public transformer substation area information according to the information of the transformer to be monitored;

[0040] The calculation and classification module calculates and classifies according to the meter parameters in the special transformer substation area information, the monitorable public transformer substation area information, and the non-monitorable public transformer substation area information to obtain a classification result;

[0041] The proportion display module is used to calculate the proportion of each classification in the classification result to the number of transformers, and use a Sankey diagram to display the proportion situation;

[0042] The recommended proposal module is used to introduce the memory tracking method to follow up and supervise the situation of the transformer and give replacement suggestions.

[0043] On the other hand, the present invention also provides a computer-readable storage medium storing a program, characterized in that when the program is executed by a processor, the above-mentioned method for monitoring the state of an electric meter based on a Sankey diagram is implemented.

[0044] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0045] 1. The present invention uses a Sankey diagram for graphical display to view the detailed information of the power distribution area and the electric meter, and understand the detailed state of the power distribution area and the electric meter. And for abnormal power distribution areas, the detailed information of the abnormal situation of the power distribution area can be viewed, which can help the operation and maintenance personnel accurately locate the abnormality, reduce the number of on-site work and troubleshooting costs, and improve user satisfaction.

[0046] 2. The present invention uses a memory tracking algorithm to remember the monitorable and non-monitorable electric meters entering the warning electric meter column. After remembering, a memory block is formed, and then the later replacement situation is supervised by means of tracking feedback to avoid problems such as missed replacement or non-replacement. Moreover, the forced replacement transformer does not perform any work to ensure the safety of the entire electric meter system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 It is a flowchart of the method for monitoring the state of an electric meter based on a Sankey diagram in an embodiment of the present invention.

[0049] Figure 2 It is a schematic diagram of the steps for monitoring the state of an electric meter of a certain transformer in an embodiment of the present invention.

[0050] Figure 3 It is a structural diagram of the system for monitoring the state of an electric meter based on a Sankey diagram in an embodiment of the present invention.

[0051] Figure 4 It is a structural diagram of a computer-readable storage medium in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] To enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solution in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts fall within the scope of protection of this application.

[0053] In this application, the mention of "embodiment" means that the specific features, structures or characteristics described in connection with the embodiment may be included in at least one embodiment of this application. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described in this application can be combined with other embodiments.

[0054] As Figure 1 shown, the method for monitoring the electricity meter status based on the Sankey diagram in this embodiment includes the following steps:

[0055] S1. Obtain the information of the transformer to be monitored, including the transformer number, transformer name and transformer type; the transformer information can be obtained from the electric energy platform or the metering automation system and saved in the data table.

[0056] S2. Obtain the special transformer area information, the monitorable public transformer area information and the non-monitorable public transformer area information according to the information of the transformer to be monitored;

[0057] S3. Calculate and classify according to the electricity meter parameters in the special transformer area information, the monitorable public transformer area information and the non-monitorable public transformer area information to obtain the classification result. Specifically:

[0058] As Figure 2 shown, input the electricity meter parameters in the special transformer area information into the electricity meter anomaly model for analysis and calculation;

[0059] Input the electricity meter parameters in the monitorable public transformer area information into the electricity meter error model, the electricity meter anomaly model, the electricity meter life prediction model and the electricity meter evaluation model respectively for analysis and calculation;

[0060] Input the electricity meter parameters in the non-monitorable public transformer area information into the electricity meter anomaly model for analysis and calculation;

[0061] Classify the obtained analysis and calculation results to obtain the classification result.

[0062] In this embodiment, the electricity meter error model is constructed based on the electricity meter parameter mutation-failure judgment model, which is used to calculate the voltage data, current data, power data, and power factor data in the electricity meter parameters, and judge whether the data conforms to the preset electrical relationship based on the calculated data; if not, it is judged that the electricity meter has an error abnormality;

[0063] The electricity meter abnormality model is constructed based on the electricity meter hardware problem-failure judgment model, which is used to judge the consistency of the measured voltage of the power grid branch. If the difference between the measured voltage of the power grid branch and the historical measured voltage of the power grid branch is greater than the preset range, it is judged that the electricity meter has an error abnormality;

[0064] The electricity meter life prediction model is used to predict the life of the electricity meter, including the prediction time, prediction life information, and life score;

[0065] The electricity meter evaluation model is a set of the electricity meter error model, the electricity meter abnormality model, and the electricity meter life prediction model, which are coupled with each other by the electricity meter error model, the electricity meter abnormality model, and the electricity meter life prediction model. That is, the variable data of the electricity meter on the same branch is collected, the voltage of the electricity meter on the same branch is the power grid network voltage, and the deviation between the real-time voltage and the theoretical voltage of the electricity meter does not exceed the preset range; when the deviation between the real-time voltage and the theoretical voltage of the electricity meter exceeds the preset range, it is judged that the hardware of the electricity meter metering circuit fails and the life of the electricity meter deteriorates.

[0066] The obtained classification results are as follows:

[0067] According to the substation area classification, the transformers are divided into public transformers and special transformers; among them, the public transformer area includes the monitorable area and the non-monitorable area; the non-monitorable area includes the newly built area and the abnormal area;

[0068] According to the electricity meter classification, the monitorable area includes monitorable electricity meters; the newly built area and the abnormal area include non-monitorable electricity meters; the special transformer area includes special electricity meters; the monitorable electricity meters include stable electricity meters, normal electricity meters, and warning electricity meters; the non-monitorable electricity meters include warning electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters; the special electricity meters include single abnormal electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters; among them, the stable electricity meters and normal electricity meters are qualified quality electricity meters; the warning electricity meters include electricity meters with excessive errors, single abnormal electricity meters, and associated abnormal electricity meters;

[0069] According to the model analysis classification, the qualified quality electricity meters are divided into electricity meters due for replacement, electricity meters postponed for one year, and electricity meters postponed for two years; the electricity meters with excessive errors, single abnormal electricity meters, and associated abnormal electricity meters are divided into electricity meters recommended for replacement; the non-abnormal electricity meters are divided into electricity meters due for replacement, electricity meters postponed for one year, and electricity meters postponed for two years.

[0070] S4. Calculate the proportion of the substation area classification, electricity meter classification, and the number of transformers, and use a Sankey diagram to display the proportion, specifically:

[0071] According to the classification results, the quantities of transformers, public transformer areas, dedicated transformer areas, monitorable areas, non - monitorable areas, newly built areas, abnormal areas, monitorable electric meters, non - monitorable electric meters, dedicated transformer electric meters, stable electric meters, normal electric meters, warning electric meters, qualified electric meters in terms of quality, electric meters with error exceeding the tolerance, single - anomaly electric meters, associated - anomaly electric meters, non - anomaly electric meters, recommended replacement electric meters, due - for - replacement electric meters, one - year - postponed electric meters, and two - year - postponed electric meters are shown in the form of columns in the Sankey diagram.

[0072] The height of the columns in the Sankey diagram is the proportion of each classification. Through the column height, the proportion of each classification of the transformer area and the electric meters can be seen, and the detailed information of the electric meters or transformer areas can be viewed by triggering the columns.

[0073] On the above basis, although the Sankey diagram can already display graphically, the columns can only show a general situation. To obtain detailed information, it is necessary to trigger the columns. This is not only troublesome because it needs to be triggered on the basis of the prior simulation, and blindly triggering to find the changes of each electric meter is like looking for a needle in a haystack. In the present invention, it is known that the total area of the input and output columns of the Sankey diagram is equal. Therefore, this feature is used to trigger the detailed information of the warning - electric - meter columns in the Sankey diagram, and the steps are as follows:

[0074] First, mark the area of the warning - electric - meter column and the connection point of the warning - electric - meter column for a certain electric meter;

[0075] Then, extract the previous Sankey diagram, and obtain the overlapping chain according to the area of the previous warning - electric - meter column and the connection point of the warning - electric - meter column. The chain includes chain points (i.e., the connection points of the warning - electric - meter columns) and the chain lengths between the chain points (i.e., the areas of the warning - electric - meter columns);

[0076] At the same time, obtain the area of the warning - electric - meter column and the connection point of the warning - electric - meter column in the current Sankey diagram to get the corresponding current overlapping chain;

[0077] Overlap the two overlapping chains, and at this time, the non - matching chain points jump out;

[0078] Finally, reorganize according to the chain lengths until all chain points are matched to form the detailed change information of the electric meters, which is convenient for extracting the changes between the previous and current Sankey diagrams to make up for the defect that the Sankey diagram can only show the flow direction through the area.

[0079] S5. Introduce a memory - based tracking method to follow up and monitor the situation of transformers and give replacement suggestions, specifically as follows:

[0080] First, remember the monitorable electric meters and non - monitorable electric meters that enter the warning - electric - meter columns. After memory, memory blocks are formed; the memory blocks only record for the transformers with the same number in the later stage;

[0081] After recording, continuously track the late warning meter poles of the transformer. If it is within a single abnormal meter or the warning meter poles of associated abnormal representatives, it is fed back to the memory block; when the transformer with the same number enters the same warning meter pole next time (e.g., entered a single abnormal meter last time and still enters a single abnormal meter this time), a forced replacement is carried out;

[0082] If the transformer with the same number enters different warning meter poles next time, follow-up and supervision are carried out to determine whether it is a warning meter. If not, a recommended replacement is made; otherwise, a forced replacement continues.

[0083] It should be noted that the transformer undergoing forced replacement does not perform any work to ensure the safety of the entire meter system.

[0084] It should be noted that for the foregoing method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be carried out in other sequences or simultaneously.

[0085] Based on the same idea as the method for monitoring the state of an electric meter based on a Sankey diagram in the above embodiments, the present invention also provides a system for monitoring the state of an electric meter based on a Sankey diagram. This system can be used to execute the method for monitoring the state of an electric meter based on a Sankey diagram. For the sake of convenience of description, in the structural schematic diagram of the embodiment of the system for monitoring the state of an electric meter based on a Sankey diagram, only the parts related to the embodiments of the present invention are shown. Those skilled in the art can understand that the illustrated structure does not constitute a limitation on the device, and it may include more or fewer components than those shown, or combine some components, or have different component arrangements.

[0086] As Figure 3 shown, another embodiment of the present invention provides a system for monitoring the state of an electric meter based on a Sankey diagram, including a transformer information acquisition module, a substation area information acquisition module, a calculation and classification module, a proportion display module, and a recommendation module;

[0087] The transformer information acquisition module is used to acquire the information of the transformer to be monitored;

[0088] The substation area information acquisition module acquires the dedicated transformer substation area information, the monitorable public transformer substation area information, and the non-monitorable public transformer substation area information according to the information of the transformer to be monitored;

[0089] The calculation and classification module calculates and classifies according to the meter parameters in the dedicated transformer substation area information, the monitorable public transformer substation area information, and the non-monitorable public transformer substation area information to obtain a classification result;

[0090] The proportion display module is used to calculate the proportion of each classification in the classification result to the number of transformers and display the proportion using a Sankey diagram;

[0091] The suggestion module is used to introduce the memory tracking method to follow up and supervise the transformer situation and give replacement suggestions.

[0092] It should be noted that the meter status monitoring system based on the Sankey diagram of the present invention corresponds one-to-one with the meter status monitoring method based on the Sankey diagram of the present invention. The technical features and their beneficial effects described in the embodiments of the above-mentioned meter status monitoring method based on the Sankey diagram are applicable to the embodiments of the meter status monitoring system based on the Sankey diagram. For specific content, reference can be made to the description in the method embodiments of the present invention, which will not be elaborated here. This is hereby declared.

[0093] In addition, in the implementation manner of the meter status monitoring system based on the Sankey diagram of the above embodiments, the logical division of each program module is only an example. In actual applications, according to needs, for example, considering the configuration requirements of the corresponding hardware or the convenience of software implementation, the above functions can be assigned to different program modules to complete, that is, the internal structure of the meter status monitoring system based on the Sankey diagram is divided into different program modules to complete all or part of the functions described above.

[0094] Such as Figure 4 As shown, in one embodiment, a computer-readable storage medium is provided, storing a program in a memory. When the program is executed by a processor, the meter status monitoring method based on the Sankey diagram is implemented, specifically as follows:

[0095] Obtain the information of the transformer to be monitored, where the transformer information includes the transformer number, transformer name, and transformer type;

[0096] Obtain the special transformer area information, the monitorable public transformer area information, and the unmonitorable public transformer area information according to the information of the transformer to be monitored;

[0097] Calculate and classify according to the meter parameters in the special transformer area information, the monitorable public transformer area information, and the unmonitorable public transformer area information to obtain a classification result;

[0098] Calculate the proportion of each classification in the classification result to the number of transformers, and use a Sankey diagram to display the proportion;

[0099] Introduce the memory tracking method to follow up and supervise the transformer situation and give replacement suggestions.

[0100] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories.

[0101] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0102] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any other changes, modifications, substitutions, combinations, and simplifications made without departing from the spirit and principle of the present invention shall be equivalent substitution methods and are all included in the protection scope of the present invention.

Claims

1. A method for monitoring the state of an electric meter based on a Sankey diagram, characterized in that, Including the following steps: Obtain the information of the transformer to be monitored, where the transformer information includes the transformer number, transformer name, and transformer type; Obtain the special transformer area information, the monitorable public transformer area information, and the unmonitorable public transformer area information according to the information of the transformer to be monitored; Perform calculations and classifications based on the electricity meter parameters in the special transformer area information, the monitorable public transformer area information, and the unmonitorable public transformer area information to obtain the classification results. Specifically: Input the electricity meter parameters in the special transformer area information into the electricity meter anomaly model for analysis and calculation; Input the electricity meter parameters in the monitorable public transformer area information into the electricity meter error model, the electricity meter anomaly model, the electricity meter life prediction model, and the electricity meter evaluation model respectively for analysis and calculation; Input the electricity meter parameters in the unmonitorable public transformer area information into the electricity meter anomaly model for analysis and calculation; Classify the obtained analysis and calculation results to obtain the classification results; the classification results are: Classify the transformers into public transformer areas and special transformer areas according to the area classification; among them, the public transformer area includes the monitorable area and the unmonitorable area; the unmonitorable area includes the newly built area and the abnormal area; According to the electricity meter classification, the monitorable area includes monitorable electricity meters; the newly built area and the abnormal area include unmonitorable electricity meters; the special transformer area includes special electricity meters; the monitorable electricity meters include stable electricity meters, normal electricity meters, and warning electricity meters; the unmonitorable electricity meters include warning electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters; the special electricity meters include single abnormal electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters; among them, the stable electricity meters and the normal electricity meters are qualified quality electricity meters; the warning electricity meters include electricity meters with excessive error, single abnormal electricity meters, and associated abnormal electricity meters; Classify the qualified quality electricity meters into electricity meters due for replacement, electricity meters with a one-year extension, and electricity meters with a two-year extension according to the model analysis classification; the electricity meters with excessive error, single abnormal electricity meters, and associated abnormal electricity meters are classified as electricity meters recommended for replacement; the non-abnormal electricity meters are classified as electricity meters due for replacement, electricity meters with a one-year extension, and electricity meters with a two-year extension; Calculate the proportion of each classification in the classification results to the number of transformers, and use a Sankey diagram to display the proportion. Specifically: According to the classification results, display the quantities of transformers, public transformer areas, special transformer areas, monitorable areas, unmonitorable areas, newly built areas, abnormal areas, monitorable electricity meters, unmonitorable electricity meters, special electricity meters, stable electricity meters, normal electricity meters, warning electricity meters, qualified quality electricity meters, electricity meters with excessive error, single abnormal electricity meters, associated abnormal electricity meters, non-abnormal electricity meters, electricity meters recommended for replacement, electricity meters due for replacement, electricity meters with a one-year extension, and electricity meters with a two-year extension in the Sankey diagram in the form of columns; Introduce a memory-based tracking method to follow up and supervise the situation of the transformers and give replacement suggestions.

2. The method for monitoring the state of an electric meter based on a Sankey diagram according to claim 1, wherein The transformer information is obtained from the electric energy platform or the metering automation system and saved in a data table.

3. The method for monitoring the state of an electric meter based on a Sankey diagram according to claim 1, wherein, The electricity meter error model is constructed based on the electricity meter parameter mutation-failure judgment model, and is used to calculate the voltage data, current data, power data, and power factor data in the electricity meter parameters, and judge whether the data conforms to the preset electrical relationship based on the calculated data; If not, it is judged that the electricity meter has an error anomaly; The abnormal meter model is constructed based on the meter hardware problem - failure judgment model, and is used to judge the consistency of the measured voltage of the power grid branch. If the difference between the measured voltage of the power grid branch and the historical measured voltage of the power grid branch is greater than the preset range, it is judged that there is an abnormal error in the meter; The meter life prediction model is used to predict the life of the meter, including prediction time, predicted life information and life score; The meter evaluation model is a set of the meter error model, the meter abnormal model and the meter life prediction model, and is formed by the mutual coupling of the meter error model, the meter abnormal model and the meter life prediction model, that is, the variable data of the meters on the same branch are collected, the voltage of the meters on the same branch is the power grid network voltage, and the deviation between the real-time voltage and the theoretical voltage of the meter does not exceed the preset range; when the deviation between the real-time voltage and the theoretical voltage of the meter exceeds the preset range, it is judged that the hardware of the meter measurement circuit fails and the life of the meter deteriorates.

4. The method for monitoring the state of an electric meter based on a Sankey diagram according to claim 1, wherein The detailed information triggering steps of the Sankey diagram warning meter column are as follows: Mark the area of the warning meter column and the connection points of the warning meter column of a certain meter; Extract the previous Sankey diagram, and obtain the overlapping chain according to the area of the warning meter column and the connection points of the warning meter column last time. The chain includes chain points and the chain length between the chain points; Obtain the area of the warning meter column and the connection points of the warning meter column in the current Sankey diagram, and get the corresponding overlapping chain currently; Overlap the two overlapping chains, and the non-matching chain points jump out; Reorganize according to the chain length until all chain points are matched to form the detailed change information of the meter.

5. The method for monitoring the state of an electric meter based on a Sankey diagram according to claim 1, wherein The introduction of the memory tracking method is used to follow up and supervise the situation of the transformer and give replacement suggestions. Specifically: Remember the monitorable meters and unmonitorable meters entering the warning meter column. After remembering, a memory block is formed; the memory block only records the transformers with the same number later; Continuously track the warning meter column of the transformer. If it is in the warning meter column of a single abnormal meter or an associated abnormal representative, it is fed back to the memory block; when the transformer with the same number enters the same warning meter column next time, it will be forced to be replaced; If the transformer with the same number enters a different warning meter column next time, it will be followed up and supervised to judge whether it is a warning meter. If not, a replacement suggestion is made. Otherwise, the forced replacement continues.

6. The electricity meter status monitoring system based on a Sankey diagram is characterized in that Applied to the Sankey diagram-based meter status monitoring method described in any one of claims 1-5, including a transformer information acquisition module, a substation area information acquisition module, a calculation and classification module, a proportion display module and a suggestion generation module; The transformer information acquisition module is used to acquire the information of the transformer to be monitored; The substation area information acquisition module acquires the special transformer substation area information, the monitorable public transformer substation area information and the unmonitorable public transformer substation area information according to the information of the transformer to be monitored; The calculation and classification module calculates and classifies according to the meter parameters in the special transformer substation area information, the monitorable public transformer substation area information and the unmonitorable public transformer substation area information, and obtains the classification result. Specifically: Input the meter parameters in the special transformer substation area information into the meter abnormal model for analysis and calculation; Input the electricity meter parameters in the information of the publicly monitored transformer area into the electricity meter error model, electricity meter anomaly model, electricity meter life prediction model, and electricity meter evaluation model respectively for analysis and calculation; Input the electricity meter parameters in the information of the non-publicly monitored transformer area into the electricity meter anomaly model for analysis and calculation; Classify the obtained analysis and calculation results to obtain classification results; The classification results are: Classify transformers into publicly monitored transformer areas and privately monitored transformer areas according to the transformer area classification; Among them, the publicly monitored transformer area includes the monitorable area and the non-monitorable area; The non-monitorable area includes the newly built area and the abnormal area; According to the electricity meter classification, the monitorable area includes monitorable electricity meters; The newly built area and the abnormal area include non-monitorable electricity meters; The privately monitored transformer area includes privately monitored electricity meters; Monitorable electricity meters include stable electricity meters, normal electricity meters, and warning electricity meters; Non-monitorable electricity meters include warning electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters; Privately monitored electricity meters include single abnormal electricity meters, associated abnormal electricity meters, and non-abnormal electricity meters; Among them, stable electricity meters and normal electricity meters are electricity meters with qualified quality; Warning electricity meters include electricity meters with excessive errors, single abnormal electricity meters, and associated abnormal electricity meters; Classify the electricity meters with qualified quality into electricity meters to be replaced upon expiration, electricity meters with a one-year extension, and electricity meters with a two-year extension according to the model analysis classification; Electricity meters with excessive errors, single abnormal electricity meters, and associated abnormal electricity meters are classified as electricity meters recommended for replacement; Non-abnormal electricity meters are classified as electricity meters to be replaced upon expiration, electricity meters with a one-year extension, and electricity meters with a two-year extension; The proportion display module is used to calculate the proportion of each classification in the classification results to the number of transformers, and use a Sankey diagram to display the proportion situation, specifically: According to the classification results, the numbers of transformers, publicly monitored transformer areas, privately monitored transformer areas, monitorable areas, non-monitorable areas, newly built areas, abnormal areas, monitorable electricity meters, non-monitorable electricity meters, privately monitored electricity meters, stable electricity meters, normal electricity meters, warning electricity meters, electricity meters with qualified quality, electricity meters with excessive errors, single abnormal electricity meters, associated abnormal electricity meters, non-abnormal electricity meters, electricity meters recommended for replacement, electricity meters to be replaced upon expiration, electricity meters with a one-year extension, and electricity meters with a two-year extension are displayed in the form of columns in the Sankey diagram; The recommendation module is used to introduce a memory-based tracking method to follow up and monitor the situation of transformers and give replacement recommendations.

7. A computer-readable storage medium storing a program, characterized in that, When the program is executed by a processor, it implements the method for monitoring the status of electricity meters based on a Sankey diagram according to any one of claims 1-5.

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