Rate anomaly detection method, device and equipment of electric energy metering device and medium

Abstract

The embodiment of the invention discloses a rate anomaly detection method, device and equipment of an electric energy metering device and a medium. The method comprises the following steps: determining parameter information of each target electric energy metering device under a target metering point; wherein the parameter information comprises the multiplying power of the electric energy meter, the transformation ratio of a current transformer and the transformation ratio of a voltage transformer; determining an actual comprehensive multiplying power corresponding to the target metering point according to the parameter information of each target electric energy metering device; and matching the actual comprehensive multiplying power corresponding to the target metering point with a charging comprehensive multiplying power, and carrying out multiplying power anomaly detection on the target metering point based on a matching result. According to the technical scheme, multiplying power anomaly detection can be automatically carried out on the electric energy metering device under the target metering point, manual participation is not needed, and the accuracy and efficiency of multiplying power anomaly detection of the electric energy metering device are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a method, device, equipment and medium for detecting abnormal multiplication rate of an electric energy metering device. Background Art

[0002] The power metering device multiplier is the conversion factor between the power meter reading and the actual power. Ensuring the correct power metering device multiplier is of vital importance to ensure metering accuracy, maintain fair trade, promote efficient energy utilization and ensure stable operation of the power grid.

[0003] At present, the methods used by power grid companies to check the rate of electric energy metering devices mainly include direct inspection and verification, detection using professional tools, and establishment and maintenance of inspection records. The above methods all require staff to check the rate of electric energy metering devices in person or household by household, which is time-consuming, labor-intensive, low in accuracy, low in efficiency, and small in results. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for detecting rate anomalies of electric energy metering devices, which can automatically perform rate anomaly detection on electric energy metering devices under target metering points without human intervention, thereby effectively improving the accuracy and efficiency of rate anomaly detection of electric energy metering devices.

[0005] According to one aspect of the present invention, a method for detecting abnormality of a rate of an electric energy metering device is provided, the method comprising:

[0006] Determine parameter information of each target electric energy metering device under the target metering point; wherein the parameter information includes the electric energy meter's own multiplication factor, current transformer ratio, and voltage transformer ratio;

[0007] Determine the actual comprehensive multiplier corresponding to the target metering point according to the parameter information of each target electric energy metering device;

[0008] The actual comprehensive multiplier corresponding to the target metering point is matched with the billing comprehensive multiplier, and the target metering point is subjected to multiplier anomaly detection based on the matching result.

[0009] According to another aspect of the present invention, a rate abnormality detection device for an electric energy metering device is provided, the device comprising:

[0010] An electric energy metering device parameter determination module is used to determine parameter information of each target electric energy metering device under a target metering point; wherein the parameter information includes the electric energy meter's own multiplication factor, current transformer ratio, and voltage transformer ratio;

[0011] A module for determining an actual comprehensive rate of a metering point, configured to determine an actual comprehensive rate corresponding to the target metering point according to parameter information of each target electric energy metering device;

[0012] The metering point multiplier anomaly detection module is used to match the actual comprehensive multiplier corresponding to the target metering point with the billing comprehensive multiplier, and perform multiplier anomaly detection on the target metering point based on the matching result.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and,

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for detecting abnormal multiplication rate of an electric energy metering device described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for detecting abnormal multiplier rate of an electric energy metering device described in any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention determines the parameter information of each target electric energy metering device under the target metering point; wherein the parameter information includes the power meter's own multiplier, the current transformer ratio, and the voltage transformer ratio; determines the actual comprehensive multiplier corresponding to the target metering point according to the parameter information of each target electric energy metering device; matches the actual comprehensive multiplier corresponding to the target metering point with the billing comprehensive multiplier, and performs multiplier anomaly detection on the target metering point based on the matching result. This technical solution can automatically perform multiplier anomaly detection on the electric energy metering device under the target metering point without manual intervention, effectively improving the accuracy and efficiency of multiplier anomaly detection of the electric energy metering device.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a flow chart of a method for detecting abnormal multiplication rate of an electric energy metering device according to the first embodiment of the present invention;

[0022] Figure 2 is a flow chart of a method for detecting abnormal multiplication rate of an electric energy metering device according to a second embodiment of the present invention;

[0023] Figure 3 It is a structural schematic diagram of a rate abnormality detection device for an electric energy metering device provided according to Embodiment 3 of the present invention;

[0024] Figure 4 The present invention is a schematic diagram of the structure of an electronic device for implementing a method for detecting abnormal rate of an electric energy metering device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", "target", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] Figure 1This is a flow chart of a method for detecting abnormal rate of an electric energy metering device provided in the first embodiment of the present invention. This embodiment is applicable to the case of automatic abnormal rate detection of an electric energy metering device. The method can be executed by an abnormal rate detection device of an electric energy metering device. The abnormal rate detection device of an electric energy metering device can be implemented in the form of hardware and / or software. The abnormal rate detection device of an electric energy metering device can be configured in an electronic device with data processing capability. Figure 1 As shown, the method includes:

[0029] S110, determining parameter information of each target electric energy metering device at the target metering point.

[0030] Among them, the target metering point can be understood as the target detection object. The target electric energy metering device can refer to the electric energy metering device set under the target metering point. The electric energy metering device specifically includes an electric energy meter, a metering transformer (including a voltage transformer and a current transformer) and a secondary connecting wire conductor. The parameter information includes the electric energy meter's own multiplier, the current transformer ratio and the voltage transformer ratio. It should be noted that one or more electric energy metering devices may be set under one metering point, and the specific needs need to be determined according to the actual deployment situation. For example, assuming that there are three factory areas A, B, and C in a certain park, among which factory area A is equipped with factories and dormitories, and factory areas B and factory areas C are only equipped with factories, and each factory and dormitory is equipped with an electric energy metering device. At this time, factory areas A, B, and C can be used as target metering points, and the electric energy metering devices set in factory areas A, B, and C are used as target electric energy metering devices under the target metering points.

[0031] In this embodiment, the parameter information of each target electric energy metering device under the target metering point is first queried and obtained from the power grid marketing system database, and the parameter information is stored in a pre-established target database. Among them, the power grid marketing system may refer to a system set up in the power grid for recording the user's electricity consumption. Specifically, the power grid marketing system stores user personal information, meter information and electricity consumption information. Exemplarily, user personal information may include account name, account number, contact number, user type (such as industrial user, commercial user); meter information may include the registration time, registration person and parameter information of the electric energy metering device; electricity consumption information may include monthly electricity bill value, electricity bill payment time, whether to prepay the electricity bill and prepaid electricity bill value, etc.

[0032] S120, determining an actual comprehensive multiplier corresponding to a target metering point according to parameter information of each target electric energy metering device.

[0033] Among them, the actual comprehensive ratio corresponding to the target metering point can be determined based on the actual comprehensive ratio of each target electric energy metering device under the target metering point. In this embodiment, after determining the parameter information of each target electric energy metering device under the target metering point, the actual comprehensive ratio corresponding to the target metering point can be determined according to the parameter information of each target electric energy metering device. Optionally, the actual comprehensive ratio corresponding to the target metering point is determined according to the parameter information of each target electric energy metering device, including: for each target electric energy metering device, according to the product of the electric energy meter's own ratio, the current transformer ratio, and the voltage transformer ratio, the actual comprehensive ratio of the target electric energy metering device is determined; the actual comprehensive ratio of each target electric energy metering device is added up to obtain the actual comprehensive ratio corresponding to the target metering point.

[0034] Specifically, if the target metering point is provided with multiple target electric energy metering devices, firstly, for each target electric energy metering device, the electric energy meter's own magnification, the current transformer ratio and the voltage transformer ratio of the target electric energy metering device are multiplied, and the multiplication result is used as the actual comprehensive magnification of the target electric energy metering device. Then, the actual comprehensive magnification of each target electric energy metering device is added, and the sum is used as the actual comprehensive magnification corresponding to the target metering point. It should be noted that if there is no magnification marking on the electric energy meter, the electric energy meter's own magnification can be set to 1. It is understandable that if the target metering point is provided with only one target electric energy metering device, there is no need to perform the summing calculation at this time, and the actual comprehensive magnification of the target electric energy metering device can be directly used as the actual comprehensive magnification corresponding to the target metering point.

[0035] S130, matching the actual comprehensive multiplier corresponding to the target metering point with the billing comprehensive multiplier, and performing multiplier anomaly detection on the target metering point based on the matching result.

[0036] In this embodiment, after determining the actual comprehensive ratio corresponding to the target metering point, the actual comprehensive ratio corresponding to the target metering point can be matched with the billing comprehensive ratio, and the target metering point can be detected for ratio anomaly based on the matching result. Among them, the billing comprehensive ratio can be used as an important basis for calculating the power consumption and electricity fee of the target metering point, and is pre-entered into the power grid marketing system database by the staff, so it can be obtained by querying the power grid marketing system database.

[0037] It should be noted that when the staff enters the comprehensive billing rate of the target metering point into the power grid marketing system database, there may be input errors or deliberate modifications, which may cause the comprehensive billing rate of the target metering point to be inconsistent with the actual comprehensive rate. At this time, it can be determined that there is a rate abnormality at the target metering point. Therefore, this embodiment can perform rate abnormality detection on the target metering point based on the consistency between the comprehensive billing rate of the target metering point and the actual comprehensive rate. Exemplarily, the rate abnormality detection method of the electric energy metering device proposed in this scheme can realize automated and intelligent detection based on the Lisp programming tool that is good at symbol processing and logic programming.

[0038] In this embodiment, optionally, the actual comprehensive multiplier corresponding to the target metering point is matched with the billing comprehensive multiplier, and the target metering point is detected for a multiplier anomaly based on the matching result, including: determining whether the actual comprehensive multiplier corresponding to the target metering point is equal to the billing comprehensive multiplier; if so, determining that there is no multiplier anomaly at the target metering point; otherwise, determining that there is a multiplier anomaly at the target metering point, and the anomaly type is that the billing comprehensive multiplier does not match the actual comprehensive multiplier.

[0039] Furthermore, after completing the rate anomaly detection of the target metering point, the relevant abnormal data (including the type of anomaly) can be recorded in the abnormal rate detailed list, and the abnormal rate detailed list can be pushed to relevant staff according to the abnormal type, so that the relevant staff can check and handle the abnormal situation in time, and record the abnormal handling related information (including the process and results of the abnormal handling) in the target database.

[0040] The technical solution of the embodiment of the present invention determines the parameter information of each target electric energy metering device under the target metering point; wherein the parameter information includes the power meter's own multiplier, the current transformer ratio, and the voltage transformer ratio; determines the actual comprehensive multiplier corresponding to the target metering point according to the parameter information of each target electric energy metering device; matches the actual comprehensive multiplier corresponding to the target metering point with the billing comprehensive multiplier, and performs multiplier anomaly detection on the target metering point based on the matching result. This technical solution can automatically perform multiplier anomaly detection on the electric energy metering device under the target metering point without manual intervention, effectively improving the accuracy and efficiency of multiplier anomaly detection of the electric energy metering device.

[0041] Embodiment 2

[0042] Figure 2 This is a flow chart of a method for detecting abnormal multiplication rate of an electric energy metering device provided in Embodiment 2 of the present invention. This embodiment is optimized based on the above embodiment.

[0043] like Figure 2 As shown, the method of this embodiment specifically includes the following steps:

[0044] S210, determining parameter information of each target electric energy metering device at the target metering point.

[0045] The parameter information includes the power meter's own multiplication factor, current transformer ratio, and voltage transformer ratio.

[0046] S220, determining an actual comprehensive multiplier corresponding to a target metering point according to parameter information of each target electric energy metering device.

[0047] S230, determining whether the actual comprehensive multiplier corresponding to the target metering point is equal to the billing comprehensive multiplier.

[0048] If so, execute S240; otherwise, execute S250.

[0049] S240, determining that there is no rate abnormality at the target metering point.

[0050] S250, determining that there is a rate abnormality at the target metering point, and the abnormality type is that the billing comprehensive rate does not match the actual comprehensive rate.

[0051] S260: If the target metering point is low supply and low metering, determine whether there is a target electric energy metering device at the target metering point whose current transformer ratio is a preset abnormal ratio.

[0052] Among them, low supply and low metering may refer to the situation where the electric energy meter is installed on the right side of the transformer, that is, power grid-transformer-electric energy meter-user, which is suitable for low voltage (such as 380V, 220V) users. Conversely, if the electric energy meter is installed on the left side of the transformer, that is, power grid-electric energy meter-transformer-user, it is high supply and high metering, which is suitable for high voltage users. The preset abnormal transformation ratio may refer to an abnormal reference value of the current transformer transformation ratio pre-set according to the actual application situation. Exemplarily, the preset abnormal transformation ratio may include 2.5 / 5, 7.5 / 5, 1.25 / 5, 2 / 5, 1.5 / 5, 0.5 / 5 and 1 / 5.

[0053] Specifically, if the target metering point is low supply and low metering, it is necessary to determine whether the current transformer ratio of the target electric energy metering device at the target metering point is a preset abnormal ratio. If so, it indicates that the target metering point has a ratio abnormality, and S270 is executed at this time; otherwise, it indicates that the target metering point does not have a ratio abnormality, and S240 is executed at this time.

[0054] S270, determining that a ratio abnormality exists at the target metering point, and the abnormality type is a current transformer ratio abnormality.

[0055] S280: If the target metering point uses a dedicated transformer and the billing power is not 0, determine whether the actual comprehensive multiplier corresponding to the target metering point is 0.

[0056] It should be noted that when the target metering point requires high voltage, a dedicated transformer set up by itself is usually used instead of the public transformer provided by the power grid to meet the high voltage demand. In this case, the target electric energy metering device at the target metering point must have a voltage transformer and a current transformer. If the billable electricity of the target metering point is not 0, it means that the target metering point has used electricity. At this time, the actual comprehensive ratio corresponding to the target metering point calculated should not be 0. Among them, if there is no voltage transformer and / or current transformer in the target electric energy metering device, the corresponding voltage transformer ratio and current transformer ratio are set to 0.

[0057] Therefore, when a dedicated transformer is used at the target metering point and the billed electricity is not 0, if the actual comprehensive multiplier corresponding to the target metering point is 0, it indicates that there is a multiplier abnormality at the target metering point, and S290 is executed at this time; otherwise, it indicates that there is no multiplier abnormality at the target metering point, and S240 is executed at this time.

[0058] S290, determining that a rate abnormality exists at the target metering point, and the abnormality type is a rate abnormality at a special variable metering point.

[0059] S2100: If the work order type of the target metering point is the target type, determine the actual comprehensive multiplier after the change corresponding to the target metering point.

[0060] Among them, the target types include new installation, capacity increase, fault handling and periodic rotation. It should be noted that when the work order type of the target metering point is the target type, it indicates that the target metering point needs to change the electric energy metering device (new installation or replacement). At this time, it is necessary to re-determine the actual comprehensive multiplier corresponding to the target metering point after the change, and perform multiplier anomaly detection based on the consistency between the actual comprehensive multiplier after the change and the billing comprehensive multiplier after the change. The specific determination method and detection method can refer to the relevant process before the change, which will not be repeated here.

[0061] S2110, determining whether the actual comprehensive multiplier after the change corresponding to the target metering point is equal to the billing comprehensive multiplier after the change.

[0062] If so, execute S240; otherwise, execute S2120.

[0063] S2120, determining that a rate abnormality exists at the target metering point, and the abnormality type is a target type change rate abnormality.

[0064] Exemplarily, assuming that the work order type of the target metering point is new installation, if there is a multiplier abnormality at the target metering point, the abnormality type may be determined as a new installation change multiplier abnormality.

[0065] The technical solution of the embodiment of the present invention can quickly, accurately and automatically detect four different types of rate anomalies based on the parameter information of each target electric energy metering device under the target metering point, effectively covering the common anomaly types of rate anomaly detection of electric energy metering devices, thereby enhancing the applicability of rate anomaly detection of electric energy metering devices.

[0066] Embodiment 3

[0067] Figure 3 This is a schematic diagram of the structure of a rate anomaly detection device for an electric energy metering device provided in the third embodiment of the present invention. The device can execute the rate anomaly detection method for an electric energy metering device provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. Figure 3 As shown, the device comprises:

[0068] The electric energy metering device parameter determination module 310 is used to determine the parameter information of each target electric energy metering device under the target metering point; wherein the parameter information includes the electric energy meter's own multiplication factor, the current transformer ratio and the voltage transformer ratio;

[0069] A metering point actual comprehensive rate determination module 320, configured to determine the actual comprehensive rate corresponding to the target metering point according to the parameter information of each target electric energy metering device;

[0070] The metering point multiplier abnormality detection module 330 is used to match the actual comprehensive multiplier corresponding to the target metering point with the billing comprehensive multiplier, and perform multiplier abnormality detection on the target metering point based on the matching result.

[0071] Optionally, the actual comprehensive rate determination module 320 of the metering point is used to:

[0072] For each target electric energy metering device, determining an actual comprehensive multiplication factor of the target electric energy metering device according to the product of the electric energy meter's own multiplication factor, the current transformer ratio, and the voltage transformer ratio;

[0073] The actual comprehensive multiples of each target electric energy metering device are added up to obtain the actual comprehensive multiple corresponding to the target metering point.

[0074] Optionally, the metering point multiplier abnormality detection module 330 is used to:

[0075] Determine whether the actual comprehensive rate corresponding to the target metering point is equal to the billing comprehensive rate;

[0076] If yes, it is determined that there is no rate abnormality at the target metering point;

[0077] Otherwise, it is determined that there is a rate abnormality at the target metering point, and the abnormality type is that the billing comprehensive rate does not match the actual comprehensive rate.

[0078] Optionally, the device further includes: a second metering point multiplier abnormality detection module, configured to:

[0079] If the target metering point is low supply and low metering, determining whether there is a target electric energy metering device at the target metering point whose current transformer ratio is a preset abnormal ratio;

[0080] If yes, it is determined that the target metering point has a ratio abnormality, and the abnormality type is a current transformer ratio abnormality;

[0081] Otherwise, it is determined that there is no rate abnormality at the target metering point.

[0082] Optionally, the device further includes: a third metering point multiplier abnormality detection module, configured to:

[0083] If the target metering point uses a dedicated transformer and the billing power is not 0, determine whether the actual comprehensive multiplier corresponding to the target metering point is 0;

[0084] If yes, it is determined that the target metering point has a rate abnormality, and the abnormality type is a special variable metering point rate abnormality;

[0085] Otherwise, it is determined that there is no rate abnormality at the target metering point.

[0086] Optionally, the device further includes: a fourth metering point multiplier abnormality detection module, configured to:

[0087] If the work order type of the target metering point is a target type, determining the actual comprehensive multiplier after the change corresponding to the target metering point; wherein the target type includes new installation, capacity increase, fault handling and periodic rotation;

[0088] The changed actual comprehensive multiplier corresponding to the target metering point is matched with the changed billing comprehensive multiplier, and the target metering point is subjected to multiplier anomaly detection based on the matching result.

[0089] Optionally, the fourth metering point multiplier abnormality detection is further used for:

[0090] Determine whether the actual comprehensive multiplier after the change corresponding to the target metering point is equal to the billing comprehensive multiplier after the change;

[0091] If yes, it is determined that there is no rate abnormality at the target metering point;

[0092] Otherwise, it is determined that there is a rate abnormality at the target metering point, and the abnormality type is a target type change rate abnormality.

[0093] A rate anomaly detection device for an electric energy metering device provided in an embodiment of the present invention can execute a rate anomaly detection method for an electric energy metering device provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0094] Embodiment 4

[0095] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0096] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0097] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0098] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for detecting abnormal multiplier rates of an electric energy metering device.

[0099] In some embodiments, the rate anomaly detection method of the electric energy metering device may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the rate anomaly detection method of the electric energy metering device described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the rate anomaly detection method of the electric energy metering device in any other appropriate manner (for example, by means of firmware).

[0100] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0102] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0103] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0104] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0105] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0106] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0107] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting abnormal rate of an electric energy metering device, characterized in that: The method comprises: Determine parameter information of each target electric energy metering device under the target metering point; wherein the parameter information includes the electric energy meter's own multiplication factor, current transformer ratio, and voltage transformer ratio; Determine the actual comprehensive multiplier corresponding to the target metering point according to the parameter information of each target electric energy metering device; The actual comprehensive multiplier corresponding to the target metering point is matched with the billing comprehensive multiplier, and the target metering point is subjected to multiplier anomaly detection based on the matching result.

2. The method according to claim 1, characterized in that Determining the actual comprehensive multiplier corresponding to the target metering point according to the parameter information of each target electric energy metering device includes: For each target electric energy metering device, determining an actual comprehensive multiplication factor of the target electric energy metering device according to the product of the electric energy meter's own multiplication factor, the current transformer ratio, and the voltage transformer ratio; The actual comprehensive multiples of each target electric energy metering device are added up to obtain the actual comprehensive multiple corresponding to the target metering point.

3. The method according to claim 2, characterized in that The actual comprehensive rate corresponding to the target metering point is matched with the billing comprehensive rate, and the rate abnormality detection is performed on the target metering point based on the matching result, including: Determine whether the actual comprehensive rate corresponding to the target metering point is equal to the billing comprehensive rate; If yes, it is determined that there is no rate abnormality at the target metering point; Otherwise, it is determined that there is a rate abnormality at the target metering point, and the abnormality type is that the billing comprehensive rate does not match the actual comprehensive rate.

4. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: If the target metering point is low supply and low metering, determining whether there is a target electric energy metering device at the target metering point whose current transformer ratio is a preset abnormal ratio; If yes, it is determined that the target metering point has a ratio abnormality, and the abnormality type is a current transformer ratio abnormality; Otherwise, it is determined that there is no rate abnormality at the target metering point.

5. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: If the target metering point uses a dedicated transformer and the billing power is not 0, determine whether the actual comprehensive multiplier corresponding to the target metering point is 0; If yes, it is determined that the target metering point has a rate abnormality, and the abnormality type is a special variable metering point rate abnormality; Otherwise, it is determined that there is no rate abnormality at the target metering point.

6. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: If the work order type of the target metering point is a target type, determining the actual comprehensive multiplier after the change corresponding to the target metering point; wherein the target type includes new installation, capacity increase, fault handling and periodic rotation; The changed actual comprehensive multiplier corresponding to the target metering point is matched with the changed billing comprehensive multiplier, and the target metering point is subjected to multiplier anomaly detection based on the matching result.

7. The method according to claim 6, characterized in that The changed actual comprehensive multiplier corresponding to the target metering point is matched with the changed billing comprehensive multiplier, and the multiplier abnormality detection is performed on the target metering point based on the matching result, including: Determine whether the actual comprehensive multiplier after the change corresponding to the target metering point is equal to the billing comprehensive multiplier after the change; If yes, it is determined that there is no rate abnormality at the target metering point; Otherwise, it is determined that there is a rate abnormality at the target metering point, and the abnormality type is a target type change rate abnormality.

8. A rate abnormality detection device for an electric energy metering device, characterized in that: The device comprises: An electric energy metering device parameter determination module is used to determine parameter information of each target electric energy metering device under a target metering point; wherein the parameter information includes the electric energy meter's own multiplication factor, current transformer ratio, and voltage transformer ratio; A module for determining an actual comprehensive rate of a metering point, configured to determine an actual comprehensive rate corresponding to the target metering point according to parameter information of each target electric energy metering device; The metering point multiplier anomaly detection module is used to match the actual comprehensive multiplier corresponding to the target metering point with the billing comprehensive multiplier, and perform multiplier anomaly detection on the target metering point based on the matching result.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for detecting a multiplier abnormality of an electric energy metering device according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for detecting abnormal multiplier rates of an electric energy metering device according to any one of claims 1 to 7 when the processor executes the instructions.

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