User ammeter electric leakage detection method, system and device, electronic equipment, storage medium and program product

Abstract

The embodiment of the invention provides a user ammeter electric leakage detection method, system and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: displaying a display interface of an electric leakage detection intelligent assistant according to a display instruction; displaying a user list of users using the suspected electric leakage ammeter in a display interface; wherein the user list comprises respective user identifiers of a plurality of users; in response to the electric leakage detection instruction, obtaining a null line current value and a live line current value of an electric meter of at least one user indicated by the electric leakage detection instruction; judging whether each electricity meter leaks electricity according to the zero line current value and the live line current value of each electricity meter; and displaying the electric leakage judgment result of the electric meter of each user in a user list. The method is used for achieving the technical effect of improving the user ammeter leakage detection efficiency.

Description

Technical Field

[0001] This application relates to the field of electrical technology, and in particular to a method, system, device, electronic device, storage medium, and program product for detecting leakage current in user electricity meters. Background Technology

[0002] For electricity users managed by the power supply agency, leakage in the user's electricity meter may affect the user's electricity safety.

[0003] The relevant technology involves power supply company maintenance personnel using testing tools to periodically test electricity meters to check for leakage.

[0004] Power supply companies manage a large number of users, and the method of having maintenance personnel check each meter individually using testing tools is technically inefficient. Therefore, improving the efficiency of meter leakage detection has become an urgent technical problem to be solved. Summary of the Invention

[0005] This application provides a method, system, device, electronic equipment, storage medium, and program product for detecting leakage current in user electricity meters, in order to achieve the technical effect of improving the efficiency of leakage current detection in user electricity meters.

[0006] In a first aspect, embodiments of this application provide a method for detecting leakage current in a user's electricity meter, including:

[0007] The display interface of the leakage current detection smart assistant will be displayed according to the display instructions;

[0008] The display interface shows a list of users suspected of using leakage current meters; wherein, the user list includes user identifiers for each of the multiple users;

[0009] In response to a leakage current detection command, the neutral wire current value and live wire current value of at least one of the user's meters indicated by the leakage current detection command are obtained; and it is determined whether each of the meters is leaking current based on the neutral wire current value and the live wire current value of each meter.

[0010] The leakage current determination results of each user's electricity meter are displayed in the user list.

[0011] In one possible implementation, the suspected leakage current meter is determined by the leakage current detection smart assistant based on the following steps:

[0012] Obtain electricity meter data from multiple users across multiple testing periods;

[0013] For each detection period, the electricity consumption of each of the multiple users during that detection period is determined based on the electricity meter data.

[0014] For each user, determine whether there is an abnormal power consumption in each detection period based on the user's power consumption in each detection period;

[0015] In response to multiple abnormal power consumption events during the detection period meeting the first preset condition, the user's electricity meter is determined to be a suspected leakage meter.

[0016] In one possible implementation, the first preset condition includes:

[0017] The proportion of detection periods with abnormal power consumption among the multiple detection periods is greater than a preset proportion threshold.

[0018] In one possible implementation, determining whether there is an abnormal power consumption in each detection period based on the user's power consumption in each detection period includes:

[0019] For each detection period, if the user's electricity consumption difference rate is greater than or equal to the difference rate threshold and the user's electricity consumption is greater than or equal to the preset electricity consumption threshold during the detection period, it is determined that the user has an abnormal electricity consumption during the detection period.

[0020] In one possible implementation, determining whether each of the electricity meters is leaking current based on the neutral wire current value and the live wire current value of each of the electricity meters includes:

[0021] For each meter, if the difference between the neutral current value and the live current value of the meter is greater than a current difference threshold, the meter is determined to be leaking current.

[0022] In one possible implementation, the method further includes:

[0023] The display interface shows pie charts and / or bar charts of users suspected of using leakage current meters in different areas.

[0024] In one possible implementation, the method further includes sending a leakage current warning message to a preset user.

[0025] Secondly, embodiments of this application provide a user electricity meter leakage detection system, comprising:

[0026] The comparison module sends a first network request to the power consumption statistics system and receives a first network request response result returned by the power consumption statistics system; wherein, the first network request is used to request meter data of multiple users in multiple detection periods; the first network request response result includes the meter data of each of the multiple users in the multiple detection periods; for each user, it is determined whether the user's meter is suspected of leakage based on the meter data of the user in the multiple detection periods;

[0027] The current verification module receives a user list of users using suspected leakage meters output by the comparison module; for at least one user in the user list, it sends a second network request to the current statistics system, the second network request being used to obtain the live wire current value and neutral wire current value of the meter of the at least one user; and receives the second network request response result returned by the current statistics system; wherein, the second network request response result includes the live wire current value and neutral wire current value of the meter used by the at least one user; and determines whether the meter used by the at least one user has leakage based on the live wire current value and the neutral wire current value;

[0028] The display module shows the user list generated by the comparison module for users using suspected leakage meters, and the leakage judgment result of the meter of at least one user determined by the current verification module.

[0029] Thirdly, embodiments of this application provide a user electricity meter leakage detection device, comprising:

[0030] The instruction receiving unit is used to display the display interface of the leakage current detection smart assistant according to the display instruction;

[0031] The first display unit is used to display a list of users suspected of using leakage current meters on the display interface; wherein the user list includes user identifiers for each of the multiple users;

[0032] The judgment unit is configured to respond to a leakage current detection command, acquire the neutral wire current value and live wire current value of at least one of the user's meters indicated by the leakage current detection command, and determine whether each of the meters is leaking current based on the neutral wire current value and the live wire current value of each meter.

[0033] The second display unit is used to display the leakage current judgment results of the electricity meters of each user in the user list.

[0034] Fourthly, embodiments of this application provide a user electricity meter leakage detection device, including: a memory and a processor;

[0035] The memory stores computer-executed instructions;

[0036] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0037] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0038] In a sixth aspect, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0039] The user meter leakage detection method, system, device, electronic device, storage medium, and program product provided in this application embodiment display the display interface of the leakage detection intelligent assistant by receiving a display command; displaying a user list of users suspected of using leakage meters in the display interface; receiving leakage detection commands, obtaining the neutral wire current value and live wire current value of the suspected leakage meter according to the leakage detection commands; determining whether the suspected leakage meter is leaking current based on the neutral wire current value and live wire current value of the suspected leakage meter, and displaying the leakage judgment result of the user meter in the user list. This eliminates the need for manual offline testing of the meter using detection tools, thereby improving the efficiency of user meter leakage detection. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0041] Figure 1 A flowchart illustrating the user meter leakage detection method provided in this application embodiment;

[0042] Figure 2 A schematic diagram of the process for identifying a suspected leakage current meter provided in an embodiment of this application;

[0043] Figure 3 This is a schematic diagram of the structure of the user electricity meter leakage detection system provided in the embodiments of this application;

[0044] Figure 4 This is a schematic diagram of the structure of the user electricity meter leakage detection device provided in the embodiments of this application;

[0045] Figure 5 This is a schematic diagram of the structure of a user electricity meter leakage detection device provided in an embodiment of this application.

[0046] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0047] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0048] For electricity users managed by power supply management agencies, leakage in their electricity meters can occur due to various reasons such as aging lines, mechanical damage, and environmental corrosion. For example, aging of the wiring between the meter's output side and the user's equipment can cause meter leakage. In the early stages of meter leakage, the leakage is usually not obvious and therefore difficult to detect. However, prolonged meter leakage can significantly impact a user's life and even pose safety hazards.

[0049] In related technologies, maintenance personnel need to use professional testing tools to detect leakage current in users' electricity meters. For example, maintenance personnel use a 500-volt megohmmeter to perform qualification tests on users' lighting and power circuits in order to detect leakage points. However, power supply agencies manage a large number of users, and conducting offline testing of all users' electricity meters with professional testing tools is extremely inefficient and requires a lot of manpower and resources.

[0050] Based on the above scenarios, it is clear that the existing technology of detecting leakage current in electricity meters through manual offline testing has the technical problem of low detection efficiency.

[0051] The user meter leakage detection method, system, device, electronic equipment, storage medium, and program products provided in this application are intended to solve the above-mentioned technical problems.

[0052] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0053] Figure 1 This is a flowchart illustrating the user meter leakage detection method provided in the embodiments of this application, as shown below. Figure 1 As shown, the method includes:

[0054] S11. Display the interface of the leakage current detection smart assistant according to the display instructions.

[0055] It should be noted that the leakage current detection smart assistant can run on electronic devices with data processing capabilities. For example, a leakage current detection smart assistant can be installed on a mobile phone or computer. The leakage current detection smart assistant can receive instructions sent by the user through robot dialogue in order to provide services to the user.

[0056] S12. Display a list of users suspected of using leakage current meters on the display interface; the user list includes the user identifiers of multiple users.

[0057] It should be noted that the user list displayed, showing users suspected of using leakage current meters, is a preliminary list of users identified as potentially using such meters. This list serves as an initial screening of electricity users managed by the power supply agency, aiming to narrow down the scope of the investigation and improve management efficiency. The user identifier in the user list can be a string of characters used to uniquely identify the electricity user, facilitating the power supply agency's management of user data.

[0058] S13. In response to the leakage current detection command, obtain the neutral current value and live current value of the meter of at least one user indicated by the leakage current detection command; determine whether each meter is leaking current based on the neutral current value and live current value of each meter.

[0059] It should be noted that leakage current detection commands can be sent by users to the leakage current detection smart assistant through dialogue with the robot. Users can specify to perform leakage current detection on the meters of one or several users in the user list, or they can specify to perform leakage current detection on the meters of all users in the user list in batches.

[0060] S14. Display the leakage current judgment results of each user's electricity meter in the user list.

[0061] The user meter leakage detection method provided in this application embodiment receives a display command to display the display interface of a leakage detection smart assistant; displays a user list of users using suspected leakage meters in the display interface; receives a leakage detection command, obtains the neutral wire current value and live wire current value of the suspected leakage meter according to the leakage detection command; determines whether the suspected leakage meter is leaking current based on the neutral wire current value and live wire current value of the suspected leakage meter, and displays the leakage judgment result of the user meter in the user list, thereby improving the efficiency of user meter leakage detection.

[0062] Figure 2 This is a flowchart illustrating the process of identifying a suspected leakage current meter, as provided in an embodiment of this application. Figure 2 As shown, in some specific embodiments, the suspected leakage current meter is determined by the leakage current detection intelligent assistant based on the following steps:

[0063] S21. Obtain meter data for multiple users' individual meters during multiple detection periods.

[0064] It should be noted that the leakage current detection smart assistant can simultaneously acquire large amounts of meter data from multiple users across multiple detection periods. For example, the leakage current detection smart assistant can use multi-threading to acquire meter data for any given user during any detection period, based on the user's identifier and the detection period, thereby completing the task of acquiring a large amount of meter data in a short time.

[0065] S22. For each detection period, determine the electricity consumption of each user within that detection period based on the meter data.

[0066] S23. For each user, determine whether there is any power consumption abnormality in each detection period based on the user's power consumption in each detection period.

[0067] S24. In response to the abnormal power consumption in multiple detection periods meeting the first preset condition, determine that the user's electricity meter is a suspected leakage meter.

[0068] For example, the inventors found through statistical data that a user's electricity consumption generally does not change significantly within a year. Therefore, by analyzing a user's electricity consumption over a year, they can preliminarily analyze whether the user's electricity consumption has changed significantly, and thus preliminarily speculate whether the user's electricity meter is suspected of leakage.

[0069] Specifically, the system can obtain the user's electricity meter data for the past 12 months. This allows the meter data from multiple monitoring periods to correspond to the user's meter data on the 15th of each of those 12 months. Based on the meter data for the 15th of each month, the user's daily electricity consumption on that day can be determined. By analyzing the user's daily electricity consumption on the 15th of each month, it can be determined whether there were any abnormalities in the user's electricity usage on that day.

[0070] In some implementations of these embodiments, S23, which determines whether a user has an abnormal electricity consumption on a given day, includes: for each detection period, if the user's electricity consumption difference rate is greater than or equal to a difference rate threshold and the user's electricity consumption is greater than or equal to a preset electricity consumption threshold during the detection period, then the user is determined to have an abnormal electricity consumption during the detection period.

[0071] For example, the inventors statistically analyzed the daily electricity consumption of users on the 15th of each month over the past three years and found that the daily electricity consumption of users generally did not exceed 25 kWh. Through data statistics, a standard value for the daily electricity consumption of users was determined, which is used to characterize that the vast majority of the users' daily electricity consumption is near this standard value. For the daily electricity consumption of users on the 15th of each month over the past 12 months, the difference rate of daily electricity consumption was calculated using the standard value. The difference rate can be calculated using the following formula (1):

[0072] (1);

[0073] In the formula, d represents the difference rate; x represents the daily electricity consumption on the 15th of a certain month. Standard values ​​representing daily electricity consumption; Indicates taking the absolute value;

[0074] If a user's daily electricity consumption difference rate is greater than or equal to the difference rate threshold (for example, the difference rate threshold is 50%), and the user's daily electricity consumption is greater than or equal to the preset electricity consumption threshold (for example, the preset electricity consumption threshold is 25 kWh), then it is determined that the user's daily electricity consumption on the 15th of that month is abnormal.

[0075] In some implementations of these embodiments, the first preset condition in S24 includes: the proportion of detection periods with abnormal power consumption in multiple detection periods is greater than a preset proportion threshold.

[0076] For example, the inventors discovered through statistical data that, due to the influence of holidays, there are several months within a year where a user's daily electricity consumption on the 15th of each month is abnormal. However, this abnormality generally does not occur for more than nine months. Therefore, a preset percentage threshold can be set to 9 / 12. If, within 12 months, a user's daily electricity consumption on the 15th of each month is abnormal for more than nine months, it is determined that the user's electricity meter is suspected of having a leakage.

[0077] In these implementations, by acquiring the user's electricity meter data during multiple detection periods, calculating the user's electricity consumption during each detection period based on the meter data, and performing data analysis on the user's electricity consumption during multiple detection periods, it is possible to preliminarily determine whether the user's electricity meter is a suspected leakage meter. This fully utilizes the user's electricity usage patterns, completes the preliminary investigation of leakage meters, narrows the detection scope, and provides preliminary data for subsequent accurate verification.

[0078] In some implementations of these embodiments, S13 involves determining whether each meter is leaking current based on the neutral wire current value and the live wire current value of each meter, including:

[0079] For each meter, if the difference between the neutral current value and the live current value of the meter is greater than the current difference threshold, the meter is determined to be leaking current.

[0080] For example, according to Kirchhoff's Current Law, in a normal circuit, the vector sum of the currents in the live wire and the neutral wire should be zero. If the difference is greater than 300 milliamperes, the current is leaking through an unexpected path. Based on this, if the absolute value of the difference between the neutral wire current and the live wire current is greater than the current difference threshold (300 milliamperes), then the meter is determined to be leaking current.

[0081] In these implementations, a current difference threshold is determined according to the current law. By judging whether the difference between the neutral wire current value and the live wire current value is greater than the current difference threshold, it is determined whether the meter is leaking current. This allows for further leakage verification of suspected leakage meters, thus providing users with a more accurate leakage detection conclusion.

[0082] In some implementations of these embodiments, the method further includes displaying pie charts and / or bar charts on the display interface showing the distribution of users with suspected leakage current meters in different areas.

[0083] For example, the display interface shows users with suspected leakage current meters in different areas managed by the power supply agency in a pie chart format, so that managers can reasonably plan maintenance personnel to maintain the meters of users in the area based on the displayed data.

[0084] In some implementations of these embodiments, the method further includes sending a leakage current warning message to a preset user.

[0085] For example, after identifying all users of the leakage current meter, the leakage current detection smart assistant can ask the user through a dialogue with the robot whether they need a list of users using the leakage current meter. If the user confirms that they need a list, the leakage current detection smart assistant can send the list of users using the leakage current meter to the customer via SMS or a statistical table, so that the customer can perform offline investigation work based on the user list.

[0086] Figure 3 A user electricity meter leakage detection system provided in this application embodiment, such as Figure 3 As shown, the user's electricity meter leakage detection system 30 includes:

[0087] The comparison module 31 sends a first network request to the power consumption statistics system and receives the first network request response result returned by the power consumption statistics system; wherein, the first network request is used to request the meter data of multiple users in multiple detection periods; the first network request response result includes the meter data of each user in multiple detection periods; for each user, it is determined whether the user's meter is suspected of leakage based on the meter data of the user in multiple detection periods;

[0088] The current verification module 32 receives a list of users using suspected leaking meters output by the comparison module; for at least one user in the user list, it sends a second network request to the current statistics system. The second network request is used to obtain the live wire current value and neutral wire current value of the meter of at least one user; and receives the second network request response result returned by the current statistics system. The second network request response result includes the live wire current value and neutral wire current value of the meter used by at least one user; based on the live wire current value and neutral wire current value, it determines whether the meter used by at least one user has a leakage current.

[0089] Display module 33 displays a list of users using suspected leakage meters generated by the comparison module, and displays the leakage judgment results of the meters of at least one user identified by the current verification module.

[0090] In one specific implementation, the user meter leakage detection system 30 further includes a login module. After logging into the system, the user can use the comparison module 31 to determine suspected leakage, the current verification module 32 to determine leakage, and the display module 33 to view statistical charts. The system also includes a leakage detection intelligent assistant robot dialogue interface. After logging in, the user can access the comparison module 31, the current verification module 32, or the display module 33 by interacting with the robot. Finally, the system includes a storage module for storing user information managed by the power supply authority.

[0091] For example, a user can log in to the user meter leakage detection system 30 through the login module and interact with the robot by saying, "View users suspected of leakage." The system automatically enters the comparison module 31, which retrieves the electricity user information managed by the power supply agency from the storage system of the user meter leakage detection system 30. Based on the electricity user information managed by the power supply agency, the system generates a first network request, sends the first network request to the electricity statistics system, and receives the first network request response result returned by the electricity statistics system. For each user, the system determines whether the user's meter is suspected of leakage based on the meter data of the user in multiple detection periods. The system automatically enters the display module 33 and displays the user list of users using suspected leakage meters generated by the comparison module 31 using a bar chart, pie chart, or table.

[0092] When the user interacts with the robot by saying, "Check suspected leakage users," the system automatically enters the current verification module 32. The current verification module 32 receives the user list of users using suspected leakage meters output by the comparison module 31. For at least one user in the user list, it sends a second network request to the current statistics system and receives the response result of the second network request returned by the current statistics system. Based on the live wire current value and neutral wire current value of the meter used by at least one user in the second network request response result, it determines whether the meter used by at least one user has leakage. The system automatically enters the display module 33 and displays the leakage judgment result of the meter of at least one user determined by the current verification module 32 using a bar chart, pie chart, or table.

[0093] The user meter leakage detection system provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0094] Figure 4 This is a schematic diagram of the structure of the user electricity meter leakage detection device provided in the embodiments of this application, as shown below. Figure 4 As shown, the user meter leakage detection device 40 provided in this embodiment includes:

[0095] The instruction receiving unit 41 is used to display the display interface of the leakage current detection smart assistant according to the display instruction;

[0096] The first display unit 42 is used to display a list of users suspected of using leakage current meters in the display interface; wherein, the user list includes the user identifiers of multiple users;

[0097] The judgment unit 43 is used to respond to the leakage current detection command, obtain the neutral current value and live current value of the electricity meter of at least one user indicated by the leakage current detection command, and determine whether each electricity meter is leaking current based on the neutral current value and live current value of each electricity meter.

[0098] The second display unit 44 is used to display the leakage current judgment results of each user's electricity meter in the user list.

[0099] In one possible implementation, the user meter leakage detection device 40 further includes a comparison unit for the leakage detection smart assistant to identify suspected leakage meters based on the following steps:

[0100] Obtain electricity meter data from multiple users across multiple testing periods;

[0101] For each testing period, the electricity consumption of each user during that testing period is determined based on the electricity meter data.

[0102] For each user, determine whether there is any abnormal power consumption in each detection period based on the user's power consumption in each detection period;

[0103] In response to multiple abnormal power consumption events during the detection period meeting the first preset condition, the user's electricity meter is determined to be a suspected leakage meter.

[0104] In one possible implementation, the first preset condition includes: the proportion of detection periods with abnormal power consumption in multiple detection periods is greater than a preset proportion threshold.

[0105] In one possible implementation, the comparison unit is further configured to determine that the user has an abnormal power consumption during each detection period if the user's power consumption difference rate is greater than or equal to the difference rate threshold and the user's power consumption is greater than or equal to the preset power consumption threshold.

[0106] In one possible implementation, the determination unit 43 is further configured to determine that the meter is leaking current in response to the difference between the neutral current value and the live current value of the meter being greater than a current difference threshold.

[0107] In one possible implementation, the user meter leakage detection device 40 further includes a third display unit for displaying pie charts and / or bar charts of users with suspected leakage meters in different areas on the display interface.

[0108] In one possible implementation, the user meter leakage detection device 40 further includes a prompting unit for sending leakage prompt information to a preset user.

[0109] The user meter leakage detection device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0110] Figure 5 This is a schematic diagram of the structure of a user electricity meter leakage detection device provided in an embodiment of this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0111] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0112] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0113] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0114] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0115] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0116] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0117] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0118] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0119] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0120] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0121] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0122] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0123] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0124] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0125] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for detecting leakage current in a user's electricity meter, characterized in that, include: The display interface of the leakage current detection smart assistant will be displayed according to the display instructions; The display interface shows a list of users suspected of using leakage current meters; wherein, the user list includes user identifiers for each of the multiple users; In response to a leakage current detection command, the neutral wire current value and live wire current value of at least one of the user's meters indicated by the leakage current detection command are obtained; and it is determined whether each of the meters is leaking current based on the neutral wire current value and the live wire current value of each meter. The leakage current determination results of each user's electricity meter are displayed in the user list.

2. The method according to claim 1, characterized in that, The suspected leakage current meter is determined by the leakage current detection intelligent assistant based on the following steps: Obtain electricity meter data from multiple users across multiple testing periods; For each detection period, the electricity consumption of each of the multiple users during that detection period is determined based on the electricity meter data. For each user, determine whether there is an abnormal power consumption in each detection period based on the user's power consumption in each detection period; In response to multiple abnormal power consumption events during the detection period meeting the first preset condition, the user's electricity meter is determined to be a suspected leakage meter.

3. The method according to claim 2, characterized in that, The first preset conditions include: The proportion of detection periods with abnormal power consumption among the multiple detection periods is greater than a preset proportion threshold.

4. The method according to claim 2, characterized in that, For each user, determining whether there is an abnormal power consumption in each detection period based on the user's power consumption in each detection period includes: For each detection period, if the user's electricity consumption difference rate is greater than or equal to the difference rate threshold and the user's electricity consumption is greater than or equal to the preset electricity consumption threshold during the detection period, it is determined that the user has an abnormal electricity consumption during the detection period.

5. The method according to claim 1, characterized in that, The step of determining whether each of the electricity meters is leaking current based on the neutral wire current value and the live wire current value of each of the electricity meters includes: For each meter, if the difference between the neutral current value and the live current value of the meter is greater than a current difference threshold, the meter is determined to be leaking current.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: The display interface shows pie charts and / or bar charts of users suspected of using leakage current meters in different areas.

7. The method according to any one of claims 1-5, characterized in that, The method further includes sending leakage current warning information to preset users.

8. A user electricity meter leakage current detection system, characterized in that, include: The comparison module sends a first network request to the power consumption statistics system and receives a first network request response result returned by the power consumption statistics system; wherein, the first network request is used to request meter data of multiple users in multiple detection periods; the first network request response result includes the meter data of each of the multiple users in the multiple detection periods; for each user, it is determined whether the user's meter is suspected of leakage based on the meter data of the user in the multiple detection periods; The current verification module receives a user list of users using suspected leakage meters output by the comparison module; for at least one user in the user list, it sends a second network request to the current statistics system, the second network request being used to obtain the live wire current value and neutral wire current value of the meter of the at least one user; and receives the second network request response result returned by the current statistics system; wherein, the second network request response result includes the live wire current value and neutral wire current value of the meter used by the at least one user; and determines whether the meter used by the at least one user has leakage based on the live wire current value and the neutral wire current value; The display module shows the user list generated by the comparison module for users using suspected leakage meters, and the leakage judgment result of the meter of at least one user determined by the current verification module.

9. A leakage current detection device for user electricity meters, characterized in that, include: The instruction receiving unit is used to display the display interface of the leakage current detection smart assistant according to the display instruction; The first display unit is used to display a list of users suspected of using leakage current meters in the display interface; wherein, the user list includes user identifiers for each of the multiple users; The judgment unit is configured to respond to a leakage current detection command, acquire the neutral wire current value and live wire current value of at least one of the user's meters indicated by the leakage current detection command, and determine whether each of the meters is leaking current based on the neutral wire current value and the live wire current value of each meter. The second display unit is used to display the leakage current judgment results of the electricity meters of each user in the user list.

10. A user electricity meter leakage detection device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-7.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.

12. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.

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