A method and system for screening and processing abnormal electricity consumption information collected on the same day

Abstract

The present invention provides a method for screening and processing abnormal power consumption information collected on the same day, including: obtaining all the abnormal power consumption information collected on the same day, and classifying all the abnormal power consumption information collected on the same day according to customer types; performing a two-way comparison between all the abnormal power consumption information collected on the same day corresponding to different customer types and the pre-established customer type abnormal collection database corresponding thereto, screening the power consumption information that needs to be processed on-site on the same day, and generating work orders in batches according to customer types for the power consumption information that needs to be processed on the same day; obtaining the feedback information of on-site processing, and updating the pre-established customer type abnormal collection database corresponding thereto according to customer types. The present invention also provides a system for screening and processing abnormal power consumption information collected on the same day, which effectively improves the screening and processing efficiency and reliability of the abnormal power consumption information collected on the same day.

Description

Technical Field

[0001] The present invention relates to the field of information screening and processing, and particularly to a method and system for screening and processing abnormal power consumption information collected on the same day. Background Art

[0002] In recent years, power supply companies have increased the promotion and application of smart electricity meters, and the coverage rate of smart electricity meters has reached more than 99%. To ensure that electricity customers can obtain the electricity consumption of their own homes in a timely manner, the staff need to ensure that the electricity meter returns the meter code data frozen at the early morning of the same day every day. If there is a collection failure, it needs to be processed on the same day.

[0003] Currently, the staff of power supply companies can use the power consumption information collection system to query the details of collection failures on the same day, and then screen the details of collection failures on the same day to facilitate on-site confirmation of some abnormal data among them.

[0004] However, the details of collection failures every day involve a large number of electricity meters, and the long-term abnormalities of customers without electricity consumption account for a relatively large proportion. Screening item by item manually according to the failure details not only has a large workload and a lot of repetitive work; moreover, after the on-site processing of abnormal screening is completed every day, the staff need to paste the abnormal information item by item on the work order template, which is prone to errors and is not conducive to improving the screening and processing efficiency and reliability of power consumption information. Summary of the Invention

[0005] In order to solve the problems existing in the prior art, the present invention innovatively proposes a method and system for screening and processing abnormal power consumption information collected on the same day, effectively solving the problem of low screening and processing efficiency of abnormal power consumption information collected on the same day caused by the prior art, and effectively improving the screening and processing efficiency and reliability of abnormal power consumption information collected on the same day.

[0006] The first aspect of the present invention provides a method for screening and processing abnormal power consumption information collected on the same day, including:

[0007] Obtain all abnormal power consumption information collected on the same day, and classify the obtained all abnormal power consumption information collected on the same day according to customer types;

[0008] Perform a two-way comparison between all abnormal power consumption information collected on the same day corresponding to different customer types and the corresponding pre-established abnormal database of customer types, screen out the power consumption information that needs to be processed on-site on the same day, and generate work orders in batches according to customer types for the power consumption information that needs to be processed on the same day;

[0009] Obtain the feedback information of on-site processing, and update the corresponding pre-established abnormal database of customer types according to customer types.

[0010] Optionally, the customer types include high-voltage customers, low-voltage customers, and gateway customers. A high-voltage customer means the user type corresponding to the electricity meter is a high-voltage customer; a low-voltage customer means the user type corresponding to the electricity meter is a low-voltage customer; and a gateway customer means the user type corresponding to the electricity meter is empty or the user number is empty.

[0011] Optionally, the bidirectional comparison is made between all the abnormal power consumption information collected on the same day corresponding to different customer types and the pre-established abnormal collection database for the corresponding customer types, and the power consumption information that needs on-site processing obtained by screening specifically includes:

[0012] Taking the complement of the first data set and the second data set to obtain a third data set. Here, the first data set is the set of all abnormal power consumption information collected on the same day corresponding to different customer types, and the second data set is the set of the abnormal power consumption information collected on the same day in the first data set that is the same as the long-term abnormal power consumption information defined in the pre-established abnormal collection database for the corresponding customer types;

[0013] Merging the third data set and the fourth data set to obtain a fifth data set. Here, the fourth data set is the set of the long-term abnormal power consumption information defined in the abnormal collection database for the customer types not appearing in the first data set;

[0014] Outputting the abnormal power consumption information in the fifth data set as the power consumption information that needs on-site processing.

[0015] Furthermore, before adding the fourth data set to the third data set to obtain the fifth data set, it further includes:

[0016] Judging whether the power consumption information collection terminal corresponding to the abnormal power consumption information collected on the same day in the third data set is online. If it is online, through communicating with the power consumption information collection terminal, performing background recall of the power consumption information, and deleting the abnormal power consumption information collected on the same day in the third data set for which the background recall of the power consumption information is successful.

[0017] Optionally, the long-term abnormal power consumption information is that the duration of the abnormal power consumption information collection in the abnormal collection database for the customer types is greater than a preset time threshold.

[0018] Optionally, obtaining the feedback information of on-site processing and updating the pre-established abnormal collection database for the corresponding customer types according to the customer types specifically includes:

[0019] Obtaining the feedback information of on-site processing;

[0020] Deleting the long-term abnormal power consumption information that has been confirmed on-site and has returned to normal collection in the pre-established abnormal collection database for the customer types;

[0021] Add the newly discovered long-term abnormal power consumption information found on-site to the pre-established abnormal database for customer type collection.

[0022] Optionally, by comparing the asset numbers of the electricity meters for the abnormal power consumption information collected, implement the complement of the second data set in the first data set, and the merger of the third data set and the fourth data set.

[0023] Optionally, all the abnormal power consumption information collected on the same day includes, but is not limited to: electricity meter asset number, power consumption information collection terminal number, user account number, user name, user type, electricity meter wiring method, electricity meter metering method.

[0024] Furthermore, batch generating work orders for the power consumption information that needs to be processed on the same day obtained through screening specifically includes:

[0025] Determine the user account numbers in the power consumption information that needs to be processed on the same day obtained through screening;

[0026] Obtain the user name, power consumption address, user contact information, electricity meter asset number, and electricity meter type corresponding to the user account number;

[0027] Batch generate work orders according to the user account number, user name, power consumption address, user contact information, electricity meter asset number, and electricity meter type.

[0028] The second aspect of the present invention provides a system for screening and processing abnormal power consumption information collected on the same day, including:

[0029] An acquisition classification module, which acquires all the abnormal power consumption information collected on the same day and classifies the acquired all the abnormal power consumption information collected on the same day according to customer types;

[0030] A comparison and screening module, which compares all the abnormal power consumption information collected on the same day corresponding to different customer types with the pre-established abnormal database for customer type collection, screens out the power consumption information that needs on-site processing on the same day, and batch generates work orders for the power consumption information that needs to be processed on the same day according to customer types;

[0031] An update module, which acquires the feedback information of on-site processing and updates the corresponding pre-established abnormal database for customer type collection according to customer types.

[0032] The technical solutions adopted by the present invention include the following technical effects:

[0033] 1. The present invention effectively solves the problem of low screening and processing efficiency of abnormal power consumption information collected on the same day caused by the prior art, and effectively improves the screening and processing efficiency and reliability of abnormal power consumption information collected on the same day.

[0034] 2. In the technical solution of the present invention, not only all the abnormal power consumption information collected on the same day is classified according to customer types, but also the pre-established abnormal collection database is established according to customer types, and different types of customers can be respectively compared and analyzed, improving the screening and processing efficiency.

[0035] 3. In the technical solution of the present invention, all the abnormal power consumption information collected on the same day corresponding to different customer types is compared bidirectionally with the pre-established abnormal collection database corresponding to the customer types, avoiding the problem of low accuracy in screening and processing caused by unidirectional comparison, and improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0036] 4. Before adding the fourth data set to the third data set to obtain the fifth data set in the technical solution of the present invention, it also includes determining whether the power consumption information collection terminal corresponding to the abnormal power consumption information collected on the same day in the third data set is online. If it is online, the abnormal power consumption information collected on the same day with successful background re-call of power consumption information is excluded from the third data set, avoiding the situation of collection failure caused by poor network between the power consumption information collection terminal and the background, and further improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0037] 5. In the technical solution of the present invention, obtaining the feedback information of on-site processing; deleting the long-term abnormal power consumption information that has been confirmed to have returned to normal collection on-site in the pre-established abnormal collection database corresponding to customer types; adding the long-term abnormal power consumption information newly discovered in on-site processing to the pre-established abnormal collection database corresponding to customer types, ensuring the adaptability of the pre-established abnormal collection database corresponding to customer types for the comparison of the latest abnormal power consumption information collected on the same day.

[0038] 6. In the technical solution of the present invention, by comparing the electricity meter asset numbers of the abnormal power consumption information, the complement of the second data set in the first data set and the combination of the third data set and the fourth data set are realized, without the need to compare all the data information in the abnormal power consumption information, further improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0039] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1It is a schematic flowchart of the method in the first embodiment of the present invention's solution;

[0042] Figure 2 It is a schematic flowchart of step S2 in the method of the first embodiment of the present invention's solution;

[0043] Figure 3 It is another schematic flowchart of step S2 in the method of the first embodiment of the present invention's solution;

[0044] Figure 4 It is a schematic flowchart of step S3 in the method of the first embodiment of the present invention's solution

[0045] Figure 5 It is a schematic structural diagram of the system in the second embodiment of the present invention's solution. Detailed implementation manners

[0046] To clearly illustrate the technical features of this solution, the present invention will be elaborated in detail below through specific implementation manners and in combination with its accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, the components and settings of specific examples are described below. In addition, the present invention may repeat reference numerals and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. It should be noted that the components illustrated in the drawings are not necessarily drawn to scale. The present invention omits the description of well-known components and processing technologies and processes to avoid unnecessarily limiting the present invention.

[0047] Embodiment 1

[0048] As Figure 1 shown, the present invention provides a method for screening and processing abnormal power consumption information collected on the same day, including:

[0049] S1, obtaining all the abnormal power consumption information collected on the same day, and classifying the obtained abnormal power consumption information collected on the same day according to customer types;

[0050] S2, performing a two-way comparison between all the abnormal power consumption information collected on the same day corresponding to different customer types and the pre-established customer type abnormal collection database corresponding thereto, screening out the power consumption information that needs on-site processing on the same day, and generating work orders in batches according to customer types for the screened power consumption information that needs to be processed on the same day;

[0051] S3, obtaining the feedback information of on-site processing, and updating the pre-established customer type abnormal collection database corresponding thereto according to customer types.

[0052] Among them, in step S1, all the abnormal power consumption information collected on the same day can be obtained by exporting through the existing power consumption information collection system, or can be obtained by other means.

[0053] During the process of collecting power consumption information, if the collection fails, the power consumption information collection system will display uncollected or abnormal data. The main reasons for the collection failure are as follows: the clock of the electric energy meter or the power consumption information collection terminal is incorrect; the communication between the power consumption information collection terminal and the background master station fails, resulting in the failure of the meter reading to be transmitted back; the electric energy meter or the power consumption information collection terminal itself fails (such as crashing, low battery voltage, etc.); the built-in communication module of the power consumption information collection terminal is damaged; the SIM (Subscriber Identity Module) card has been in use for too long and has been deactivated, etc. In the power consumption information collection system, there is a detailed list of meters with collection failures on the current day, which can be directly exported. The exported detailed list includes the asset number of the electric energy meter, the corresponding number of the power consumption information collection terminal, the user account number, the user name, the user type, the wiring method of the electric energy meter, the metering method of the electric energy meter, the meter reading on the current day (indicating abnormal data such as uncollected or incomplete collected data); that is, all abnormal power consumption information collected on the current day includes but is not limited to: the asset number of the electric energy meter, the number of the power consumption information collection terminal, the user account number, the user name, the user type, the wiring method of the electric energy meter, the metering method of the electric energy meter, etc.

[0054] The customer types include high-voltage customers, low-voltage customers, and gateway customers. The high-voltage customer means that the user type corresponding to the electric energy meter is a high-voltage customer, the low-voltage customer means that the user type corresponding to the electric energy meter is a low-voltage customer, and the gateway customer means that the user type corresponding to the electric energy meter is empty or the user number is empty. Among them, the abnormal data collected daily can be used to distinguish the gateway meter and the user meter according to whether the electric energy meter has a user number. The user meter can be further divided into a low-voltage meter and a high-voltage meter according to the customer file. The distinction between low voltage and high voltage can be set according to the actual situation. For example, the range of the low-voltage meter is 500V, and the range of the high-voltage meter is above KV, which is the same as the existing classification standards for high-voltage meters and voltage meters, or it can be other classification standards. The present invention does not limit this here.

[0055] As Figure 2 shown, step S2 specifically includes:

[0056] S21, taking the complement of the first data set and the second data set to obtain a third data set. Among them, the first data set is the set of all abnormal power consumption information collected on the current day corresponding to different customer types, and the second data set is the set of abnormal power consumption information collected on the current day in the first data set that is the same as the long-term abnormal power consumption information defined in the pre-established customer type abnormal collection database corresponding thereto;

[0057] S23, merging the third data set and the fourth data set to obtain a fifth data set. Among them, the fourth data set is the set in which the long-term abnormal power consumption information defined in the abnormal collection database for the customer types in the first data set does not appear;

[0058] S25 outputs the abnormal power consumption information collected in the fifth data set as the power consumption information that needs to be processed on-site on the current day, and generates work orders in batches according to the customer types for the filtered power consumption information that needs to be processed on the current day.

[0059] Among them, in step S21, different customer types include high-voltage customers, low-voltage customers, and gateway customers. Therefore, the corresponding first data sets are also divided into three, corresponding to high-voltage customers, low-voltage customers, and gateway customers respectively. For example, the first data set 1 corresponds to all the abnormal power consumption information collected on the current day of high-voltage customers, the first data set 2 corresponds to all the abnormal power consumption information collected on the current day of low-voltage customers, and the first data set 3 corresponds to all the abnormal power consumption information collected on the current day of gateway customers. Similarly, there are also three customer type abnormal collection databases, which also correspond to high-voltage customers, low-voltage customers, and gateway customers respectively. For example, the customer type abnormal collection database 1 corresponds to the abnormal power consumption information of high-voltage customers, the customer type abnormal collection database 12 corresponds to the abnormal power consumption information of low-voltage customers, and the customer type abnormal collection database 13 corresponds to the abnormal power consumption information of gateway customers. The customer type abnormal collection database can include the abnormal power consumption information collected on all dates, the initial time corresponding to the abnormal power consumption information collection, the duration, etc. The long-term abnormal power consumption information defined by the customer type abnormal collection database can be: the duration of the abnormal power consumption information collection in the customer type abnormal collection database is greater than the preset time threshold. The preset time threshold can be one week, that is, the power consumption information with an abnormal collection duration greater than one week can be defined as long-term abnormal power consumption information, or it can be adjusted according to the actual situation. The present invention does not limit this here.

[0060] Take the complement of the first data set and the second data set to obtain a third data set. Among them, the first data set is a set of all abnormal power consumption information collected on the same day corresponding to different customer types, and the second data set is a set of abnormal power consumption information collected on the same day in the first data set that is the same as the long-term abnormal power consumption information defined in the pre-established customer type abnormal collection database corresponding to it; that is, the second data set is a subset of the first data set. Based on the first data set, the data information in the second data set is removed, and the first data set after removal is the third data set. Specifically, screen the abnormal power consumption information collected on the same day in the first data set that is the same as the long-term abnormal power consumption information defined in the pre-established customer type abnormal collection database corresponding to it. The abnormal power consumption information collected on the same day being the same as the long-term abnormal power consumption information specifically means that the power meter asset number, power consumption information collection terminal number, user account number, user name, user type, power meter wiring method, power meter metering method, etc. are all the same, only the abnormal power consumption information collection time is different. Therefore, in the process of comparing all the abnormal power consumption information collected on the same day with the abnormal power consumption information in the customer type abnormal collection database, only one of them can be compared, such as the power meter asset number, user account number, etc., which are information items that uniquely identify the user or the power meter. In order to reduce the storage space of the customer type abnormal collection database, it is also possible to only store the power meter asset number corresponding to the abnormal collection, the reason for the abnormal collection status, the duration of the abnormal collection status, etc., and other information is obtained through the power consumption system. Specifically, through the comparison of the power meter asset numbers of the abnormal power consumption information collected, the complement of the second data set in the first data set and the merger of the third data set and the fourth data set can be realized.

[0061] In step S23, the third data set and the fourth data set are combined to obtain the fifth data set, wherein the fourth data set is a set of long-term abnormal power usage information that is defined in the customer type abnormal collection database that does not appear in the first data set; step S21 is a forward comparison of all abnormal power usage information collected on the day with the customer type abnormal collection database, and step S23 is a reverse comparison of the customer type abnormal collection database with all abnormal power usage information collected on the day. Through the two-way comparison, it can be found that some long-term abnormal power usage information exists in the customer type abnormal collection database, but does not exist in the electric energy meter of the abnormal collection details on the day, indicating that the electric energy meter has resumed normal collection, and the meter that was originally marked as long-term abnormal but now resumed normal collection will be automatically marked in the customer type abnormal collection database to form the fourth data set, waiting for on-site confirmation and post-processing on the day. The purpose of the on-site confirmation and post-processing on the day is to verify on-site whether these electric energy meters will continue to collect normally in the future and confirm the power consumption of the user on site. The electric energy meter that has been collecting abnormal data for a long time suddenly resumes normal collection. Possible reasons include: the dual power supply user suddenly reverses the power supply, the user suddenly starts to resume production, the user's on-site signal equipment suddenly recovers (it was using electricity normally before, but there was no signal on site, and the terminal could not communicate with the main station), etc. After on-site verification and confirmation, the next step can be taken.

[0062] In step S25, the electricity usage information that needs to be processed on the day that is screened out is batch-generated into work orders according to the customer type, specifically including: determining the user account number in the electricity usage information that needs to be processed on the day that is screened out; obtaining the user name, electricity usage address, user contact information, electricity meter asset number, and electricity meter type corresponding to the user account number; and batch-generating work orders according to the user account number, user name, electricity usage address, user contact information, electricity meter asset number, and electricity meter type. That is, according to the user account number in the electricity usage information that needs to be processed on the day that is screened out, obtain the user name, electricity usage address, contact information, electricity meter asset number, electricity meter type and other information corresponding to the user account number in the marketing system, use the work order batch printing system to batch-generate work orders, and print them directly. The printed work orders are assigned to on-site processing personnel according to user type.

[0063] Furthermore, if Figure 3 As shown, in step S2 of the technical solution of the present invention, before step S23, it also includes:

[0064] S22, determine whether the electricity consumption information collection terminal corresponding to the abnormal electricity consumption information collected on the day in the third data set is online, and if it is online, perform a background call for the electricity consumption information by communicating with the electricity consumption information collection terminal, and eliminate the abnormal electricity consumption information collected on the day for which the background call for the electricity consumption information in the third data set is successful.

[0065] In step S22, the electricity meter is a metering device that can measure the electricity usage of users and calculate the daily electricity consumption of users. The power consumption information acquisition terminal is a collection device. Currently, the power consumption information acquisition terminal aggregates the daily collection data of the electricity meter and communicates and transmits it to the background master station. The electricity meter itself cannot transmit data to the background master station. The power consumption information acquisition terminal being online means that the power consumption information acquisition terminal can receive and respond to various commands issued by the background master station, such as transmitting the daily electricity meter collection data back to the background master station again, restarting, changing the time of the electricity meter, etc. However, if the power consumption information acquisition terminal is offline, it means that the power consumption information acquisition terminal cannot communicate with the background master station, and the background master station cannot require the power consumption information acquisition terminal to respond to the commands it issues. If the power consumption information acquisition terminal is online, the background master station communicates with the power consumption information acquisition terminal to conduct background supplementary recruitment of power consumption information. If the supplementary recruitment is successful, the daily collection abnormal power consumption information that has been successfully recruited for background supplementary recruitment in the third data set is excluded. If the supplementary recruitment is not successful, there is no need to exclude the data information in the third data set. The purpose of the supplementary recruitment is to avoid the situation of collection failure caused by poor network conditions between the power consumption information acquisition terminal and the background collection information at all times, reduce the impact of accidental influencing factors on collection anomalies, and further improve the screening and processing efficiency of the daily collection abnormal power consumption information.

[0066] Furthermore, as Figure 4 shown, step S3 specifically includes:

[0067] S31, obtaining the feedback information of on-site processing;

[0068] S32, deleting the long-term collection abnormal power consumption information that has been confirmed to have returned to normal collection on-site in the pre-established customer type collection abnormal database;

[0069] S33, adding the newly discovered long-term collection abnormal power consumption information on-site in the pre-established customer type collection abnormal database.

[0070] In steps S31 - S33, after on - site processing on the same day, the abnormal customer type acquisition database will be updated. Specifically, if all the abnormal power consumption information collected on the same day is the same as the long - term abnormal power consumption information, it means that the asset number of this electric energy meter will definitely appear in all the abnormal power consumption information collected on the same day, that is, the electric energy meter has not yet returned to normal acquisition. The long - term abnormal power consumption information can continue to be retained in the abnormal customer type acquisition database, and the duration of the abnormal acquisition status of the long - term abnormal power consumption information is updated. If it does not appear in all the abnormal power consumption information collected on the same day, but only appears in the long - term abnormal power consumption information in the pre - established abnormal customer type acquisition database, and after on - site confirmation, it has returned to normal acquisition, it means that the electric energy meter has currently returned to normal acquisition, and the long - term abnormal power consumption information that has been confirmed to have returned to normal acquisition on - site is deleted from the abnormal customer type acquisition database; adding the newly discovered long - term abnormal power consumption information during on - site processing in the pre - established abnormal customer type acquisition database specifically refers to: synchronously adding all the abnormal power consumption information collected on the same day that did not appear in the abnormal customer type acquisition database before to the abnormal customer type acquisition database, and synchronously adding the newly discovered abnormal power consumption information collected on the same day during on - site processing that did not appear in the abnormal customer type acquisition database before to the abnormal customer type acquisition database. For all the abnormal power consumption information collected on the same day that has appeared in the abnormal customer type acquisition database before, only the duration of the abnormal acquisition status of the abnormal acquisition information in the abnormal customer type acquisition database needs to be updated. Until the preset time threshold is reached, it is marked as long - term abnormal power consumption information for the maintenance of the abnormal customer type acquisition database.

[0071] It should be noted that steps S1 - S3 in the technical solution of the present invention can all be implemented through hardware or software programming. The programming implementation idea corresponds to the steps in this solution, and can also be implemented in other ways. The present invention does not make any restrictions here.

[0072] The present invention effectively solves the problem of low screening and processing efficiency of abnormal power consumption information collected on the same day caused by the prior art, and effectively improves the screening and processing efficiency and reliability of abnormal power consumption information collected on the same day.

[0073] In the technical solution of the present invention, not only all the abnormal power consumption information collected on the same day is classified according to customer types, but also the pre - established abnormal acquisition database is established according to customer types, and comparative analysis and processing can be carried out for different types of customers respectively, improving the screening and processing efficiency.

[0074] In the technical solution of the present invention, two - way comparison is carried out between all the abnormal power consumption information collected on the same day corresponding to different customer types and the corresponding pre - established abnormal customer type acquisition database, avoiding the problem of low screening and processing accuracy caused by one - way comparison, and improving the screening and processing efficiency of abnormal power consumption information collected on the same day.

[0075] Before adding the fourth data set to the third data set to obtain the fifth data set in the technical solution of the present invention, it further includes determining whether the power consumption information acquisition terminal corresponding to the abnormal power consumption information collected on the same day in the third data set is online. If it is online, the abnormal power consumption information collected on the same day for which the power consumption information has been successfully recalled by the background is excluded from the third data set, avoiding the situation of acquisition failure caused by poor network between the power consumption information acquisition terminal and the background, and further improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0076] In the technical solution of the present invention, obtain the feedback information of on-site processing; delete the long-term abnormal power consumption information that has been confirmed to have returned to normal collection on-site in the pre-established customer type abnormal collection database; add the newly discovered long-term abnormal power consumption information on-site processing to the pre-established customer type abnormal collection database, ensuring the adaptability of the pre-established customer type abnormal collection database for the comparison of the latest abnormal power consumption information collected on the same day.

[0077] In the technical solution of the present invention, by comparing the electricity meter asset numbers of the abnormal power consumption information collected, the complement of the second data set in the first data set and the merger of the third data set and the fourth data set are realized, without the need to compare all the data information in the abnormal power consumption information collected, and further improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0078] Embodiment 2

[0079] As Figure 5 shown, the technical solution of the present invention also provides a system for screening and processing abnormal power consumption information collected on the same day, including:

[0080] An acquisition classification module 101, which acquires all the abnormal power consumption information collected on the same day and classifies the acquired all the abnormal power consumption information collected on the same day according to the customer type;

[0081] A comparison and screening module 102, which compares all the abnormal power consumption information collected on the same day corresponding to different customer types with the pre-established customer type abnormal collection database corresponding thereto, screens out the power consumption information that needs on-site processing on the same day, and generates work orders in batches according to the customer type for the screened power consumption information that needs to be processed on the same day;

[0082] An update module 103, which acquires the feedback information of on-site processing and updates the corresponding pre-established customer type abnormal collection database according to the customer type.

[0083] The present invention effectively solves the problem of low screening and processing efficiency of abnormal power consumption information collected on the same day caused by the prior art, and effectively improves the screening and processing efficiency and reliability of the abnormal power consumption information collected on the same day.

[0084] In the technical solution of the present invention, not only all the abnormal power consumption information collected on the same day is classified according to customer types, but also the pre-established abnormal collection database is established according to customer types, and can be respectively compared and analyzed for different types of customers, improving the efficiency of screening and processing.

[0085] In the technical solution of the present invention, all the abnormal power consumption information collected on the same day corresponding to different customer types is compared bidirectionally with the pre-established abnormal collection database of customer types, avoiding the problem of low accuracy of screening and processing caused by unidirectional comparison, and improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0086] Before adding the fourth data set to the third data set to obtain the fifth data set in the technical solution of the present invention, it further includes determining whether the power consumption information collection terminal corresponding to the abnormal power consumption information collected on the same day in the third data set is online. If it is online, the abnormal power consumption information collected on the same day with successful background recall of power consumption information in the third data set is excluded, avoiding the situation of collection failure caused by poor network between the power consumption information collection terminal and the background, and further improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0087] In the technical solution of the present invention, obtaining the feedback information of on-site processing; deleting the long-term abnormal power consumption information that has been confirmed to have resumed normal collection on-site in the pre-established abnormal collection database of customer types; adding the long-term abnormal power consumption information newly discovered in on-site processing to the pre-established abnormal collection database of customer types, ensuring the adaptability of the pre-established abnormal collection database of customer types, so as to facilitate the comparison of the latest abnormal power consumption information collected on the same day.

[0088] In the technical solution of the present invention, through the comparison of the electricity meter asset numbers of the abnormal power consumption information collected, the complement of the second data set in the first data set and the merger of the third data set and the fourth data set are realized, without the need to compare all the data information in the abnormal power consumption information collected, and further improving the screening and processing efficiency of the abnormal power consumption information collected on the same day.

[0089] Although the specific implementation manners of the present invention are described above in conjunction with the accompanying drawings, it is not a limitation on the protection scope of the present invention. Those skilled in the art should understand that based on the technical solution of the present invention, various modifications or deformations that can be made by those skilled in the art without creative efforts are still within the protection scope of the present invention.

Claims

1. A method for screening and processing abnormal power consumption information collected on the same day, characterized in that include: Obtain all abnormal electricity usage information collected on the day, and classify all the abnormal electricity usage information collected on the day according to customer types; All the abnormal electricity usage information collected on the day corresponding to different customer types is compared bidirectionally with the corresponding pre-established customer type collection abnormality database, and the electricity usage information that needs to be processed on the day is screened out, and the screened electricity usage information that needs to be processed on the day is batch-generated into work orders according to the customer type; wherein, all the abnormal electricity usage information collected on the day corresponding to different customer types is compared bidirectionally with the corresponding pre-established customer type collection abnormality database, and the electricity usage information that needs to be processed on the day is screened out, specifically including: Complementing the first data set with the second data set to obtain a third data set, wherein the first data set is a set of all abnormal electricity usage information collected on the day corresponding to different customer types, and the second data set is a set of abnormal electricity usage information collected on the day in the first data set that is the same as the long-term abnormal electricity usage information collected defined in the corresponding pre-established abnormal database for customer type collection; The third data set and the fourth data set are combined to obtain a fifth data set, wherein the fourth data set is a set of long-term abnormal electricity usage information collected as defined in the abnormality database for collecting customer types that are not included in the first data set; Outputting the collected abnormal power consumption information in the fifth data set as the power consumption information that needs to be processed on site on that day; Obtain feedback information from on-site processing and update the corresponding pre-established customer type collection exception database according to customer type.

2. The screening and processing method for abnormal power consumption information collected on the same day according to claim 1, characterized in that, Customer types include high-voltage customers, low-voltage customers and gateway customers. The high-voltage customer is the user type corresponding to the electric energy meter is a high-voltage customer, the low-voltage customer is the user type corresponding to the electric energy meter is a low-voltage customer, and the gateway customer is the user type corresponding to the electric energy meter is empty or the user number is empty.

3. A method for screening and processing abnormal power consumption information collected on the same day according to claim 1, characterized in that, Before combining the third data set with the fourth data set to obtain the fifth data set, the method further includes: Determine whether the electricity consumption information collection terminal corresponding to the abnormal electricity consumption information collected on the day in the third data set is online. If it is online, communicate with the electricity consumption information collection terminal to make a background call for the electricity consumption information, and eliminate the abnormal electricity consumption information collected on the day for which the background call for the electricity consumption information in the third data set is successful.

4. A method for screening and processing abnormal power consumption information collected on the same day according to claim 1, characterized in that, Long-term collection of abnormal electricity usage information means that the duration of abnormal electricity usage information collection in the customer type collection abnormality database is greater than a preset time threshold.

5. A method for screening and processing abnormal power consumption information collected on the same day according to claim 1, characterized in that, Obtaining feedback information from on-site processing and updating the corresponding pre-established customer type collection exception database according to customer type specifically includes: Obtain feedback from on-site processing; Deleting the long-term abnormal power consumption information that has been confirmed on-site and has been restored to normal collection in the pre-established customer type abnormal collection database; In the pre-established customer type collection anomaly database, newly discovered long-term collection abnormal electricity usage information is added for on-site processing.

6. A method for screening and processing abnormal power consumption information collected on the same day according to claim 1, characterized in that By comparing the asset numbers of the electric energy meters that collect abnormal electricity usage information, the complement of the second data set in the first data set and the merging of the third data set and the fourth data set are achieved.

7. A method for screening and processing abnormal power consumption information collected on the same day according to any one of claims 1-6, characterized in that, All the abnormal electricity consumption information collected on the same day includes, but is not limited to: electricity meter asset number, electricity consumption information collection terminal number, user account number, user name, user type, electricity meter wiring method, and electricity meter metering method.

8. A method for screening and processing abnormal power consumption information collected on the same day according to claim 7, characterized in that, Batch generate work orders for the electricity consumption information to be processed on the same day obtained through screening according to customer types, specifically including: Determine the user account numbers in the electricity consumption information to be processed on the same day obtained through screening; Obtain the user name, electricity consumption address, user contact information, electricity meter asset number, and electricity meter type corresponding to the user account number; Batch generate work orders according to the user account number, user name, electricity consumption address, user contact information, electricity meter asset number, and electricity meter type.

9. A screening and processing system for abnormal electricity consumption information collected on the same day, characterized in that, Including: Obtain a classification module, obtain all the abnormal electricity consumption information collected on the same day, and classify the obtained all the abnormal electricity consumption information collected on the same day according to customer types; A comparison and screening module compares all the abnormal electricity consumption information collected on the same day corresponding to different customer types with the pre-established customer type abnormal collection database for the corresponding type, screens out the electricity consumption information that needs to be processed on-site on the same day, and batch generates work orders for the electricity consumption information to be processed on the same day according to customer types; among them, all the abnormal electricity consumption information collected on the same day corresponding to different customer types is compared bidirectionally with the pre-established customer type abnormal collection database for the corresponding type, and the specific steps for screening out the electricity consumption information that needs to be processed on-site on the same day include: Take the complement of the first data set and the second data set to obtain a third data set, where the first data set is the set of all the abnormal electricity consumption information collected on the same day corresponding to different customer types, and the second data set is the set of the abnormal electricity consumption information collected on the same day in the first data set that is the same as the long-term abnormal electricity consumption information defined in the pre-established customer type abnormal collection database for the corresponding type; Merge the third data set and the fourth data set to obtain a fifth data set, where the fourth data set is the set of the long-term abnormal electricity consumption information defined in the abnormal collection database for the customer types that do not appear in the first data set; Output the abnormal electricity consumption information in the fifth data set as the electricity consumption information that needs to be processed on-site on the same day; An update module obtains the feedback information of on-site processing and updates the pre-established customer type abnormal collection database for the corresponding type according to customer types.

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