Method and device for determining abnormal type of electric meter, electronic device and storage medium

Abstract

The present invention discloses a method for determining the abnormal type of an electric meter and its device, electronic device and storage medium, and relates to the technical field of power system operation and maintenance, wherein the method comprises: determining the electric meter to be monitored based on the meter replacement service work order, and obtaining the attribute data of the electric meter to be monitored; extracting the metering data of the electric meter to be monitored from the metering database, and preprocessing the metering data to obtain the preprocessed metering data; performing abnormal determination on the preprocessed metering data based on the pre-constructed abnormal determination rule, and obtaining the abnormal determination result of the electric meter to be monitored; in the case that the electric meter to be monitored has an abnormality, generating abnormal alarm information based on the abnormal determination result, and sending the abnormal alarm information to the operation and maintenance end. The present invention solves the technical problem of low efficiency in the related art, that is, locating the abnormal electric meter through the electricity charge error of the electric meter, and manually troubleshooting the abnormal electric meter to determine the abnormal type, so as to troubleshoot the electric meter abnormality.

Description

Technical Field

[0001] The present invention relates to the technical field of power system operation and maintenance, and in particular to a method for determining an abnormality type of an electric meter, a device thereof, an electronic device and a storage medium. Background Art

[0002] As an important part of power operation, the operation status of electric meters is directly related to the stability and reliability of power operation. Abnormal operation of electric meters will lead to inaccurate electricity measurement, errors in electricity fee statistics, and even affect the safe and stable operation of the power system. Therefore, the identification and treatment of abnormal operation of electric meters is one of the important tasks of power operation and maintenance. The abnormal operation of electric meters mainly targets the metering, metering circuit, connecting wires, meter boxes, etc. Common types of abnormal operation of electric meters include: abnormal voltage, abnormal current, abnormal phase, abnormal pulse, wiring error, loose wiring, wiring detachment, connecting wire detachment, meter failure, etc.

[0003] In the relevant technology, the error rate of electricity charges can reflect the abnormality of the electricity meter to a certain extent, and becomes the key to locating the abnormality of the electricity meter. However, the current abnormality inspection of electricity meters is carried out through manual on-site visits and error inspections of electricity meters that may have abnormalities. This leads to backward meter control means, lagging judgment of meter abnormalities, and the inability to understand and deal with abnormal conditions in a timely manner. The inspection efficiency is low, and it is time-consuming and labor-intensive. It is also prone to missed judgments and misjudgments, and the recognition accuracy is not high, which will increase the operation and maintenance costs and affect the efficiency of power operation and maintenance.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method for determining the abnormality type of an electric meter and its device, electronic device and storage medium, so as to at least solve the technical problem in the related art that the abnormal electric meter is located through the electricity charge error of the electric meter, and the abnormal electric meter is manually checked to determine the abnormality type and then the abnormality of the electric meter is checked, which has low checking efficiency.

[0006] According to one aspect of an embodiment of the present invention, a method for determining an abnormality type of an electric meter is provided, which is applied to a system for determining an abnormality type of an electric meter, and the method for determining an abnormality type of an electric meter comprises: determining an electric meter to be monitored based on a meter replacement service work order, and acquiring attribute data of the electric meter to be monitored; extracting metering data of the electric meter to be monitored from a metering database based on the attribute data of the electric meter to be monitored, and preprocessing the metering data to obtain preprocessed metering data, wherein the metering data at least comprises: current data of each phase of the electric meter to be monitored within a target time period, voltage data of each phase of the electric meter to be monitored within the target time period, and electric quantity data of the electric meter to be monitored within the target time period; performing an abnormality determination on the preprocessed metering data based on a pre-constructed abnormality determination rule to obtain an abnormality determination result of the electric meter to be monitored, wherein the abnormality determination result at least comprises: an abnormal situation and an abnormality type; when the abnormality determination result of the electric meter to be monitored indicates that the electric meter to be monitored is abnormal, generating abnormal alarm information based on the abnormality determination result, and sending the abnormal alarm information to an operation and maintenance end.

[0007] Optionally, the abnormality judgment rule includes at least: a voltage abnormality judgment rule, and the preprocessed metering data is subjected to abnormality judgment based on a pre-constructed abnormality judgment rule, and the step of obtaining the abnormality judgment result of the monitored electric meter includes: calling the voltage abnormality judgment rule, and obtaining the voltage abnormality threshold value based on the voltage abnormality judgment rule; calculating the average voltage data of each phase of the monitored electric meter within the target time period, and determining that a voltage abnormality exists in the target phase when the average voltage data is less than the voltage abnormality threshold value, and generating the abnormality judgment result based on the voltage abnormality of the target phase.

[0008] Optionally, the abnormality judgment rule also includes: a pressure loss abnormality judgment rule, and the pre-processed metering data is subjected to abnormality judgment based on a pre-constructed abnormality judgment rule, and the step of obtaining the abnormality judgment result of the monitored meter also includes: calling the pressure loss abnormality judgment rule, and obtaining the pressure loss abnormality value based on the pressure loss abnormality judgment rule; determining the type of the meter to be monitored, and when the type of the meter to be monitored is a three-phase four-wire meter, obtaining the voltage value of each phase of the meter to be monitored at each monitoring time point; when the voltage value of any phase of the meter to be monitored at any monitoring time point is equal to the pressure loss abnormality value, determining that there is a pressure loss abnormality in the target phase, and generating the abnormality judgment result based on the pressure loss abnormality of the target phase.

[0009] Optionally, the abnormality judgment rule also includes: a current abnormality judgment rule, and the preprocessed metering data is judged to be abnormal based on a pre-constructed abnormality judgment rule, and the step of obtaining the abnormality judgment result of the monitored electric meter also includes: calling the current abnormality judgment rule; judging the current data of each phase of the monitored electric meter within a target time period based on the current abnormality judgment rule, and when the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, it is determined that there is a current abnormality in the target phase, and the abnormality judgment result is generated based on the current abnormality of the target phase.

[0010] Optionally, the abnormality judgment rule also includes: an electric quantity abnormality judgment rule, and an abnormality judgment is performed on the preprocessed metering data based on a pre-constructed abnormality judgment rule. The step of obtaining the abnormality judgment result of the monitored meter also includes: calling the electric quantity abnormality judgment rule, and obtaining the electric quantity target value based on the electric quantity abnormality judgment rule; judging the electric quantity data of the monitored meter within the target time period based on the electric quantity abnormality judgment rule, and determining that the meter to be monitored has a wiring abnormality when the forward active electric quantity of the meter to be monitored is the electric quantity target value and the reverse active electric quantity is not the electric quantity target value, and generating the abnormality judgment result based on the wiring abnormality of the meter to be monitored.

[0011] Optionally, after calling the power anomaly determination rule, it also includes: obtaining a power threshold lower limit and a power threshold upper limit based on the power anomaly determination rule; determining the power data of the monitored meter within the target time period based on the power anomaly determination rule, and when the forward active power of the monitored meter is not the power target value and the reverse active power is not the power target value, calculating the product of the forward active power and the power threshold lower limit to obtain a first product, and calculating the product of the forward active power and the power threshold upper limit to obtain a second product; comparing the reverse active power with the first product and the second product to obtain a comparison result; when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, determining that the meter to be monitored has a one-phase reverse connection abnormality, and generating the abnormality determination result based on the one-phase reverse connection abnormality; when the comparison result indicates that the reverse active power is greater than or equal to the second product, determining that the meter to be monitored has a two-phase reverse connection abnormality, and generating the abnormality determination result based on the two-phase reverse connection abnormality.

[0012] Optionally, the attribute data of the monitored electric meter includes at least: user type data of the user to which the monitored electric meter belongs, and the metering data is preprocessed to obtain the preprocessed metering data, including: when the user type data indicates that the user to which the monitored electric meter belongs is a target user type, the metering data of the monitored electric meter corresponding to the target user type is eliminated, wherein the target user type includes at least: photovoltaic power generation users, small power plant users; and missing values ​​in the metering data of the monitored electric meter are filled.

[0013] According to another aspect of an embodiment of the present invention, a device for determining an abnormal type of an electric meter is also provided, which is applied to a system for determining an abnormal type of an electric meter, and the device for determining an abnormal type of an electric meter includes: an acquisition unit, which is used to determine an electric meter to be monitored based on a meter replacement service work order, and acquire attribute data of the electric meter to be monitored; a preprocessing unit, which is used to extract metering data of the electric meter to be monitored from a metering database based on the attribute data of the electric meter to be monitored, and preprocess the metering data to obtain preprocessed metering data, wherein the metering data at least includes: current data of each phase of the electric meter to be monitored within a target time period, voltage data of each phase of the electric meter to be monitored within the target time period, and electric quantity data of the electric meter to be monitored within the target time period; a determination unit, which is used to perform an abnormality determination on the preprocessed metering data based on a pre-constructed abnormality determination rule, and obtain an abnormality determination result of the electric meter to be monitored, wherein the abnormality determination result at least includes: an abnormal situation and an abnormality type; a generation unit, which is used to generate abnormal alarm information based on the abnormality determination result when the abnormality determination result of the electric meter to be monitored indicates that the electric meter to be monitored is abnormal, and send the abnormal alarm information to an operation and maintenance end.

[0014] Optionally, the abnormality judgment rule includes at least: a voltage abnormality judgment rule, and the judgment unit includes: a first calling module, used to call the voltage abnormality judgment rule, and obtain a voltage abnormality threshold based on the voltage abnormality judgment rule; a first determination module, used to calculate the average value of the voltage data of each phase of the monitored meter within the target time period, and when the average value of the voltage data is less than the voltage abnormality threshold, determine that there is a voltage abnormality in the target phase, and generate the abnormality judgment result based on the voltage abnormality of the target phase.

[0015] Optionally, the abnormality judgment rule also includes: a pressure loss abnormality judgment rule, and the judgment unit also includes: a second calling module, used to call the pressure loss abnormality judgment rule, and obtain the pressure loss abnormality value based on the pressure loss abnormality judgment rule; a first acquisition module, used to determine the type of the meter to be monitored, and when the type of the meter to be monitored is a three-phase four-wire meter, obtain the voltage value of each phase of the meter to be monitored at each monitoring time point; a second determination module, used to determine that there is a pressure loss abnormality in the target phase when the voltage value of any phase of the meter to be monitored at any monitoring time point is equal to the pressure loss abnormality value, and generate the abnormality judgment result based on the pressure loss abnormality of the target phase.

[0016] Optionally, the abnormality judgment rule also includes: a current abnormality judgment rule, and the judgment unit also includes: a third calling module, used to call the current abnormality judgment rule; a first judgment module, used to judge the current data of each phase of the monitored meter within the target time period based on the current abnormality judgment rule, and when the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, it is determined that there is a current abnormality in the target phase, and the abnormality judgment result is generated based on the current abnormality of the target phase.

[0017] Optionally, the abnormality judgment rule also includes: an electric quantity abnormality judgment rule, and the judgment unit also includes: a fourth calling module, used to call the electric quantity abnormality judgment rule, and obtain the electric quantity target value based on the electric quantity abnormality judgment rule; a second judgment module, used to judge the electric quantity data of the monitored meter within the target time period based on the electric quantity abnormality judgment rule, and when the forward active electric quantity of the monitored meter is the electric quantity target value and the reverse active electric quantity is not the electric quantity target value, determine that there is a wiring abnormality in the monitored meter, and generate the abnormality judgment result based on the wiring abnormality of the monitored meter.

[0018] Optionally, the device for determining the abnormality type of the electric meter also includes: a second acquisition module, used to obtain a lower limit of an electric power threshold and an upper limit of an electric power threshold based on the electric power abnormality determination rule; a third determination module, used to determine the electric power data of the electric meter to be monitored within a target time period based on the electric power abnormality determination rule, and when the forward active power of the electric meter to be monitored is not the electric power target value and the reverse active power is not the electric power target value, calculate the product of the forward active power and the lower limit of the electric power threshold to obtain a first product, and calculate the product of the forward active power and the upper limit of the electric power threshold to obtain a second product; A comparison module is used to compare the reverse active power with the first product and the second product to obtain a comparison result; a third determination module is used to determine that the monitored electric meter has a one-phase reverse connection abnormality when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, and generate the abnormality judgment result based on the one-phase reverse connection abnormality; a fourth determination module is used to determine that the monitored electric meter has a two-phase reverse connection abnormality when the comparison result indicates that the reverse active power is greater than or equal to the second product, and generate the abnormality judgment result based on the two-phase reverse connection abnormality.

[0019] Optionally, the attribute data of the monitored electric meter includes at least: user type data of the user to which the monitored electric meter belongs, and the preprocessing unit includes: a first elimination module, used to eliminate the metering data of the monitored electric meter corresponding to the target user type when the user type data indicates that the user to which the monitored electric meter belongs is a target user type, wherein the target user type includes at least: photovoltaic power generation users and small power plant users; a first filling module, used to fill in the missing values ​​in the metering data of the monitored electric meter.

[0020] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned methods for determining the abnormality type of the electric meter.

[0021] According to another aspect of an embodiment of the present invention, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any one of the above-mentioned methods for determining the abnormality type of the electric meter.

[0022] In the present application, the following steps are taken: first, the meter to be monitored is determined based on the meter replacement service work order, the attribute data of the meter to be monitored is obtained, and the metering data of the meter to be monitored is extracted from the metering database based on the attribute data of the meter to be monitored, and the metering data is preprocessed to obtain the preprocessed metering data, wherein the metering data at least includes: the current data of each phase of the meter to be monitored within the target time period, the voltage data of each phase of the meter to be monitored within the target time period, and the electricity data of the meter to be monitored within the target time period, and then the preprocessed metering data is abnormally judged based on the pre-constructed abnormal judgment rule to obtain the abnormal judgment result of the meter to be monitored, wherein the abnormal judgment result at least includes: abnormal situation, abnormal type, and finally, when the abnormal judgment result of the meter to be monitored indicates that the meter to be monitored has an abnormality, abnormal alarm information is generated based on the abnormal judgment result, and the abnormal alarm information is sent to the operation and maintenance end.

[0023] In the present application, the electric meter to be monitored is automatically captured through the meter replacement service work order, and the metering data of the electric meter to be monitored is extracted from the metering database. The metering data is analyzed and judged through the pre-constructed abnormality judgment rules, and the abnormal conditions and abnormal types of the electric meter to be analyzed are identified, so as to realize the automation and remoteness of the electric meter abnormality judgment, speed up the efficiency of the electric meter abnormality troubleshooting, and enhance the accuracy of the abnormality identification results, thereby solving the technical problem of low troubleshooting efficiency in the related technology of locating abnormal electric meters through the electricity charge errors of the electric meters, and manually troubleshooting the abnormal electric meters to determine the abnormal type and then troubleshoot the electric meter abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0025] Figure 1 is a flow chart of an optional method for determining an abnormality type of an electric meter according to an embodiment of the present invention;

[0026] Figure 2 is an architecture diagram of an optional system for determining an abnormality type of an electric meter according to an embodiment of the present invention;

[0027] Figure 3 is an operation flow chart of an optional system for determining anomaly types of electric meters according to an embodiment of the present invention;

[0028] Figure 4 is a schematic diagram of an optional device for determining an abnormality type of an electric meter according to an embodiment of the present invention;

[0029] Figure 54 is a schematic diagram of an electronic device (or mobile device) for determining an abnormality type of an electric meter according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] It should be noted that the terms "first", "second", 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 that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] It should be noted that the method for determining the abnormal type of an electric meter and the device thereof in the present application can be used in the field of power system operation and maintenance technology when the abnormal type of the electric meter is automatically identified and determined, and can also be used in any field other than the field of power system operation and maintenance technology when the abnormal type of the electric meter is automatically identified and determined. The application field of the method for determining the abnormal type of an electric meter and the device thereof in the present application is not limited.

[0033] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data are in compliance with the relevant laws, regulations and standards of the relevant regions, necessary confidentiality measures are taken, and public order and good customs are not violated, and corresponding operation portals are provided for users to choose to authorize or refuse. For example, an interface is set up between this system and relevant users or organizations. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0034] It should be noted that in this application, when collecting and analyzing customer information, corresponding operation entrances are provided for users to choose to agree or reject the automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered.

[0035] The following embodiments of the present invention can be applied to various systems / applications / devices for determining the abnormal types of electric meters. The present invention integrates information such as the abnormal type of electric meter wiring, technical solutions, equipment types, and abnormal types. The system for determining the abnormal type of the electric meter automatically captures the electric meter to be monitored from the sales database, and captures the real-time operation and measurement data of the electric meter from the metering database based on the electric meter to be monitored, thereby realizing comprehensive monitoring of the operating status of the electric meter. Starting from the rotation of the electric meter, the system will conduct an in-depth analysis of key data such as voltage and current to determine whether the electric meter has any abnormalities. For abnormal data in the data group, the system can generate accurate alarm information, promptly notify the relevant responsible units for processing, realize the automation of the analysis and judgment of the abnormal type of the electric meter, and provide strong support for the troubleshooting of the power company. It significantly reduces the detection time of electric meter failures and improves the operating efficiency of the power system, especially in large-scale power networks, where the effect is more obvious.

[0036] The present invention is described in detail below in conjunction with various embodiments.

[0037] Embodiment 1

[0038] According to an embodiment of the present invention, an embodiment of a method for determining an abnormality type of an electric meter is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0039] The determination of the abnormality type of an electric meter in the embodiment of the present invention is applied to a system for determining the abnormality type of an electric meter. Figure 1 is a flow chart of an optional method for determining an abnormality type of an electric meter according to an embodiment of the present invention. Figure 1 As shown, the method for determining the abnormal type of the electric meter includes the following steps:

[0040] Step S101: determine the electric meter to be monitored based on the meter replacement service work order, and obtain attribute data of the electric meter to be monitored.

[0041] It should be noted that the meter replacement work order is a document used to record and manage meter replacement work. The meter replacement work order records detailed information about the meter replacement, including the reason for replacement, replacement time, replacement personnel, replacement location, etc., to ensure the traceability of the meter replacement process. Generally, meter replacement services are accompanied by meter abnormalities. When there are relevant abnormalities in the meter, the meter needs to be replaced. Therefore, the meter replacement work order can be used to quickly locate and determine the meter to be monitored.

[0042] It should be noted that after determining the meter to be monitored from the meter replacement service work order, the attribute data of the meter to be monitored can be obtained through the meter replacement service work order. The attribute data may include meter type, meter identification, meter internal structure information and other data. Based on the attribute data of the meter to be detected, the metering data of the meter to be monitored can be located in the massive metering data in the metering database.

[0043] Step S102: extracting metering data of the meter to be monitored from a metering database based on the attribute data of the meter to be monitored, and preprocessing the metering data to obtain preprocessed metering data.

[0044] It should be noted that the metering database is a database that stores the real-time operating data of the electric meter. After the electric meter is put into use, the electric meter is monitored in real time, and the metering data monitored in real time is stored in the metering database. Based on the attribute data of the electric meter to be monitored, the metering data corresponding to the electric meter to be monitored can be automatically and quickly retrieved from the metering database, wherein the metering data at least includes: the current data of each phase of the electric meter to be monitored within the target time period, the voltage data of each phase of the electric meter to be monitored within the target time period, and the electricity data of the electric meter to be monitored within the target time period.

[0045] Optionally, the attribute data of the monitored electric meter includes at least: user type data of the user to which the monitored electric meter belongs, and the metering data is preprocessed to obtain the preprocessed metering data, including: when the user type data indicates that the user to which the monitored electric meter belongs is a target user type, the metering data of the monitored electric meter corresponding to the target user type is eliminated, wherein the target user type includes at least: photovoltaic power generation users, small power plant users; and missing values ​​in the metering data of the monitored electric meter are filled.

[0046] It should be noted that before making an abnormal judgment on the electric meter, the metering data needs to be pre-processed. If the user type of the electric meter to be monitored is a pre-set target user type, such as a photovoltaic power generation user or a small power plant user, the metering data of the electric meter to be monitored will be cleared from the list to be evaluated. Small power plant users refer to small-scale power plants whose annual power generation is less than or equal to the power generation threshold. In addition, if the user type is property, elevator, metal, or hardware, the metering data of the electric meter to be monitored corresponding to the user also needs to be eliminated. The above users are all large electricity users and require additional investigation.

[0047] It should be noted that after screening the measurement data, the preprocessing operation also includes filling in the missing values ​​in the measurement data to ensure the integrity of the measurement data.

[0048] Step S103 , performing abnormality determination on the pre-processed metering data based on the pre-constructed abnormality determination rule to obtain an abnormality determination result of the electric meter to be monitored.

[0049] It should be noted that the embodiments of the present invention can identify the specific types of current anomalies and voltage anomalies by screening and analyzing the metering data. The meter anomalies are divided into: current anomalies and voltage anomalies. Current anomalies include suspected wiring errors, wiring errors, suspected one-phase reverse connection, suspected two-phase reverse connection, etc., while voltage anomalies include phase voltage anomalies, phase voltage loss, etc. This refined anomaly identification can help technical operation and maintenance personnel locate the problem more accurately, reduce the blindness of troubleshooting, and improve work efficiency. In areas where the power supply is unstable or user complaints are frequent, the application of this method can quickly identify and solve meter wiring problems, ensuring the stability of the power supply and user satisfaction.

[0050] It should be noted that in order to realize the automation of abnormality identification and reduce manual participation, the embodiment of the present invention will pre-define multiple abnormality judgment rules, analyze the metering data through the abnormality judgment rules, determine whether there is an abnormality in the meter to be monitored, and identify the abnormality type of the abnormal meter, thereby obtaining the abnormality judgment result of the meter to be monitored, and the abnormality judgment result includes at least: abnormal situation and abnormality type.

[0051] It should be noted that the abnormality determination rules may include voltage abnormality determination rules, voltage loss abnormality determination rules, current abnormality determination rules, and power abnormality determination rules. The following is a detailed description of the process of making determinations based on each abnormality determination rule.

[0052] Optionally, the abnormality determination rules include at least: voltage abnormality determination rules, and the preprocessed metering data is subjected to abnormality determination based on the pre-constructed abnormality determination rules, and the step of obtaining the abnormality determination result of the monitored electric meter includes: calling the voltage abnormality determination rules, and obtaining the voltage abnormality threshold value based on the voltage abnormality determination rules; calculating the average voltage data of each phase of the monitored electric meter within the target time period, and determining that there is a voltage abnormality in the target phase when the average voltage data is less than the voltage abnormality threshold value, and generating the abnormality determination result based on the voltage abnormality of the target phase.

[0053] It should be noted that the voltage anomaly determination rule can identify electric meters that are in a low-voltage state for a long time. Specifically, the voltage anomaly determination rule is called, the voltage anomaly threshold is obtained according to the voltage anomaly determination rule, and the voltage data average value of each phase of the monitored electric meter within the target time period is calculated based on the voltage data in the metering data. If the voltage data average value of a phase is less than the voltage anomaly threshold, it indicates that there is a voltage anomaly in the phase. The anomaly determination result is generated based on the voltage anomaly of the phase, and the technical operation and maintenance end can receive the specific anomaly determination result to quickly maintain the electric meter.

[0054] It should be noted that the above target time period can be set to a certain day or a certain week, and the voltage anomaly threshold can be dynamically adjusted according to specific business needs to improve the accuracy of fault identification. For example, during the peak period of power demand, the system can adjust the threshold to more sensitively capture abnormal fluctuations in the meter and take timely measures to avoid power supply interruptions. During the low power load period, the system can relax the threshold to reduce false alarms and optimize resource allocation.

[0055] Optionally, the abnormality determination rules also include: a pressure loss abnormality determination rule, which performs abnormality determination on the preprocessed metering data based on a pre-constructed abnormality determination rule, and the step of obtaining the abnormality determination result of the monitored meter also includes: calling the pressure loss abnormality determination rule, and obtaining the pressure loss abnormality value based on the pressure loss abnormality determination rule; determining the type of the meter to be monitored, and when the type of the meter to be monitored is a three-phase four-wire meter, obtaining the voltage value of each phase of the meter to be monitored at each monitoring time point; when the voltage value of any phase of the meter to be monitored at any monitoring time point is equal to the pressure loss abnormality value, determining that there is a pressure loss abnormality in the target phase, and generating an abnormality determination result based on the pressure loss abnormality of the target phase.

[0056] It should be noted that the pressure loss abnormality judgment rule is used to identify the pressure loss of each phase of the electricity meter. The pressure loss of the electricity meter can be single-phase pressure loss or total pressure loss. The pressure loss abnormality of the electricity meter may cause the electricity meter to be unable to accurately measure the electric energy, resulting in errors in the calculation of the electricity bill, or the voltage is unstable due to the pressure loss of the electricity meter, causing damage to the connected electrical equipment, etc. The pressure loss abnormality judgment rule of the embodiment of the present invention specifically refers to the situation where one or more phases of the electricity meter are 0. Specifically, the pressure loss abnormality value of the meter to be detected is determined according to the pressure loss abnormality judgment rule. The pressure loss abnormality value can be set to 0, and the type of the meter to be monitored is determined. If the meter is a single-phase meter, it is normal for the B and C phases of the single-phase meter to be 0 or empty. If the voltage value of phase A is equal to the pressure loss abnormality value, it indicates that the meter has a pressure loss abnormality. For a three-phase four-wire meter, if the voltage value of any phase of the meter to be monitored at any time point is equal to the pressure loss abnormality value, it indicates that the phase has a pressure loss abnormality. Finally, an abnormal judgment result is generated based on the pressure loss abnormality.

[0057] Optionally, the abnormality determination rules also include: current abnormality determination rules, performing abnormality determination on the preprocessed metering data based on pre-constructed abnormality determination rules, and the step of obtaining the abnormality determination result of the monitored meter also includes: calling the current abnormality determination rules; judging the current data of each phase of the monitored meter within the target time period based on the current abnormality determination rules, and when the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, determining that there is a current abnormality in the target phase, and generating an abnormality determination result based on the current abnormality of the target phase.

[0058] It should be noted that the current anomaly judgment rule can identify the current anomaly of the electric meter. The current anomaly may be caused by incorrect wiring of the electric meter. For example, the wiring error will cause the electric meter to be in a negative current state for a long time. Specifically, the current anomaly judgment rule is called to obtain the pre-set current threshold and duration threshold, and the current data of each phase of the monitored electric meter in the target time period is judged according to the current anomaly judgment rule. If the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, it is determined that there is a current anomaly in the target phase, and an anomaly judgment result is generated based on the current anomaly of the target phase. If the electric meter is in a low current or negative current for a long time, it indicates that the electric meter is abnormal, and the technical operation and maintenance personnel need to be notified to maintain the electric meter.

[0059] Optionally, the abnormality determination rules also include: an electric quantity abnormality determination rule, performing abnormality determination on the preprocessed metering data based on a pre-constructed abnormality determination rule, and the step of obtaining the abnormality determination result of the monitored meter also includes: calling the electric quantity abnormality determination rule, and obtaining the electric quantity target value based on the electric quantity abnormality determination rule; determining the electric quantity data of the monitored meter within the target time period based on the electric quantity abnormality determination rule, and determining that the meter to be monitored has a wiring abnormality when the forward active electric quantity of the meter to be monitored is the electric quantity target value and the reverse active electric quantity is not the electric quantity target value, and generating an abnormality determination result based on the wiring abnormality of the meter to be monitored.

[0060] It should be noted that the abnormality determination rules also include power abnormality determination rules. The power abnormality determination rules can determine the wiring abnormality of the electric meter and can locate the one-phase wiring abnormality and the two-phase wiring abnormality. Specifically, the power target value is obtained according to the power abnormality determination rules. The power target value can be 0. If the forward active power of the electric meter is the target value and the reverse active power is not the target value, there is a wiring abnormality in the monitored electric meter, and the abnormality determination result is generated according to the wiring abnormality of the monitored electric meter.

[0061] Optionally, after calling the power anomaly determination rule, it also includes: obtaining a power threshold lower limit and a power threshold upper limit based on the power anomaly determination rule; determining the power data of the monitored meter within the target time period based on the power anomaly determination rule, and when the forward active power of the monitored meter is not the power target value and the reverse active power is not the power target value, calculating the product of the forward active power and the power threshold lower limit to obtain a first product, and calculating the product of the forward active power and the power threshold upper limit to obtain a second product; comparing the reverse active power with the first product and the second product to obtain a comparison result; when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, determining that the meter to be monitored has a one-phase reverse connection abnormality, and generating an abnormality determination result based on the one-phase reverse connection abnormality; when the comparison result indicates that the reverse active power is greater than or equal to the second product, determining that the meter to be monitored has a two-phase reverse connection abnormality, and generating an abnormality determination result based on the two-phase reverse connection abnormality.

[0062] It should be noted that, when the monitored electric meter is identified for abnormality based on the electric power abnormality judgment rule, the lower limit of the electric power threshold and the upper limit of the electric power threshold are obtained based on the electric power abnormality judgment rule. When the forward active power and the reverse active power of the monitored electric meter are not the target power values, if the value of the reverse active power is greater than or equal to the product of the lower limit of the electric power threshold and the forward active power and is less than the upper limit of the electric power threshold and the threshold of the forward active power, the monitored electric meter has a one-phase reverse connection abnormality. Conversely, if the reverse value of the monitored electric meter is greater than or equal to the product of the upper limit of the electric power threshold and the forward active power, the monitored electric meter has a two-phase reverse connection abnormality. Finally, the abnormality judgment result is generated based on the one-phase reverse connection abnormality and the two-phase reverse connection abnormality of the monitored electric meter.

[0063] According to another embodiment of the present invention, the asset number of the electric meter to be monitored is obtained, the asset number of the electric meter to be monitored is matched with the asset number in the reverse forward list, the electric meter to be monitored with successful matching is marked, and it is determined that the electric meter to be monitored has "old meter reverse wiring", and the electric meter to be detected with successful matching needs to be wired. The reverse forward list records the electric meters with reverse wiring abnormalities in the historical time period and the asset numbers corresponding to the electric meters with reverse wiring abnormalities.

[0064] Step S104, when the abnormality determination result of the monitored electric meter indicates that the monitored electric meter has an abnormality, abnormality alarm information is generated based on the abnormality determination result, and the abnormality alarm information is sent to the operation and maintenance end.

[0065] When the abnormal determination result of the monitored meter indicates that the monitored meter has an abnormality, abnormal alarm information is generated according to the abnormal determination result and the monitored meter with the abnormality, and the abnormal alarm information is sent to the operation and maintenance end. The abnormal meter is maintained on site according to the abnormality type, thereby accelerating the operation and maintenance efficiency of the power system and improving user satisfaction.

[0066] Through the above steps, firstly, the meter to be monitored is determined based on the meter replacement service work order, the attribute data of the meter to be monitored is obtained, and the metering data of the meter to be monitored is extracted from the metering database based on the attribute data of the meter to be monitored, and the metering data is preprocessed to obtain the preprocessed metering data, wherein the metering data at least includes: the current data of each phase of the meter to be monitored within the target time period, the voltage data of each phase of the meter to be monitored within the target time period, and the electricity data of the meter to be monitored within the target time period, and then the preprocessed metering data is abnormally judged based on the pre-constructed abnormal judgment rule to obtain the abnormal judgment result of the meter to be monitored, wherein the abnormal judgment result at least includes: abnormal situation, abnormal type, and finally, when the abnormal judgment result of the meter to be monitored indicates that the meter to be monitored has an abnormality, abnormal alarm information is generated based on the abnormal judgment result, and the abnormal alarm information is sent to the operation and maintenance end.

[0067] In this embodiment, the electric meter to be monitored is automatically captured through the meter replacement service work order, and the metering data of the electric meter to be monitored is extracted from the metering database. The metering data is analyzed and judged through the pre-constructed abnormality judgment rules, and the abnormal conditions and abnormal types of the electric meter to be analyzed are identified, so as to realize the automation and remoteness of the electric meter abnormality judgment, speed up the efficiency of the electric meter abnormality investigation, and enhance the accuracy of the abnormality identification results, thereby solving the technical problem of low investigation efficiency in the related technology of locating abnormal electric meters through the electricity charge errors of the electric meters, and manually troubleshooting the abnormal electric meters to determine the abnormal types and then troubleshoot the electric meter abnormalities.

[0068] Another optional specific implementation is described in detail below.

[0069] Figure 2 is an architecture diagram of an optional system for determining anomaly types of electric meters according to an embodiment of the present invention, such as Figure 2 As shown, the system for determining the abnormal type of the electric meter includes: a sales database, a metering database, a to-be-selected abnormal area, an abnormal investigation and analysis recording area, an abnormal operation determination area and an abnormal output area. Specifically,

[0070] The sales database records the meter replacement business work order, which records the user's meter replacement data, operation ledger change data, meter replacement business work order data and billing data based on the latest daily meter replacement business records.

[0071] The metering database obtains the real-time operation data of the new electricity meter replaced recorded in the meter replacement business work order of the sales database, that is, the metering data.

[0072] The selected abnormal area is used to formulate data screening conditions and filter out the required data for analysis.

[0073] The abnormality troubleshooting and analysis records are used to identify and determine abnormalities of the monitored electric meters according to pre-set abnormality determination rules.

[0074] The abnormal area to be sent is determined to record the abnormality determination result of the electric meter to be monitored.

[0075] The abnormal output area is used to generate abnormal alarm information according to the abnormal determination result, and output the abnormal alarm information of the abnormal meter.

[0076] Figure 3 is an operation flow chart of an optional system for determining anomaly types of electric meters according to an embodiment of the present invention, such as Figure 3 As shown, the process of determining the abnormality type of the electric meter based on the determination system of the abnormality type of the electric meter includes:

[0077] The sales database collects the latest daily meter replacement data through the data acquisition module. The meter replacement data includes meter replacement business work order data, and filters the meter replacement data through the data screening module, so as to capture the meters to be monitored from the meter replacement data.

[0078] Based on the meter to be monitored, the metering data of the meter to be monitored is extracted from the metering database. The metering database collects the operation data of the meter in real time through the data acquisition module. After the metering data of the meter to be monitored is determined, the massive metering data is screened to obtain the metering data to be analyzed. The screening conditions can be data type and data collection time, etc.

[0079] The abnormality investigation and analysis record area is based on the pre-set judgment reference (i.e., abnormality judgment rule, Figure 3 In the figure, reference 1, reference 2, reference 3, reference 4 are used for schematic illustration), based on different references, the abnormal type of the electric meter to be monitored is determined and identified, and the abnormal type of the electric meter to be monitored is obtained ( Figure 3 In the figure, abnormal type 1, abnormal type 2, abnormal type 3, abnormal type 4, etc. are used for schematic illustration), and finally the abnormal data of the electric meter to be monitored is outputted through the abnormal output area.

[0080] In an embodiment of the present invention, information such as the type of abnormal connection of the electric meter, technical solutions, equipment type, and abnormal type are integrated. By determining the abnormal type of the electric meter, the system automatically captures the electric meter to be monitored from the sales database, and based on the electric meter to be monitored, captures the real-time operation and measurement data of the electric meter from the metering database, thereby realizing comprehensive monitoring of the operating status of the electric meter. Starting from the rotation of the electric meter, the system will conduct an in-depth analysis of key data such as voltage and current to determine whether the electric meter is abnormal. For abnormal data in the data group, the system can generate accurate alarm information, promptly notify the relevant responsible units for processing, realize the automation of the analysis and judgment of the abnormal type of the electric meter, and provide strong support for the troubleshooting of the power company. The detection time of the electric meter failure is significantly reduced, and the operating efficiency of the power system is improved, especially in large-scale power networks, the effect is more obvious.

[0081] The following is a detailed description in conjunction with another embodiment.

[0082] Embodiment 2

[0083] A device for determining an abnormality type of an electric meter provided in this embodiment is applied to a system for determining an abnormality type of an electric meter. The device for determining an abnormality type of an electric meter includes multiple implementation units, each of which corresponds to each implementation step in the above-mentioned embodiment one. Its specific implementation methods and beneficial effects can refer to the above-mentioned method embodiments and will not be repeated here.

[0084] Figure 4is a schematic diagram of an optional device for determining an abnormality type of an electric meter according to an embodiment of the present invention, such as Figure 4 As shown, the device for determining the abnormal type of the electric meter may include: an acquisition unit 41, a preprocessing unit 42, a determination unit 43, and a generation unit 44, wherein:

[0085] An acquisition unit 41 is used to determine the electric meter to be monitored based on the meter replacement service work order, and acquire attribute data of the electric meter to be monitored;

[0086] The preprocessing unit 42 is used to extract the metering data of the meter to be monitored from the metering database based on the attribute data of the meter to be monitored, and preprocess the metering data to obtain the preprocessed metering data, wherein the metering data at least includes: the current data of each phase of the meter to be monitored within the target time period, the voltage data of each phase of the meter to be monitored within the target time period, and the electric quantity data of the meter to be monitored within the target time period;

[0087] The determination unit 43 is used to perform abnormality determination on the pre-processed metering data based on a pre-constructed abnormality determination rule to obtain an abnormality determination result of the electric meter to be monitored, wherein the abnormality determination result at least includes: an abnormal situation and an abnormality type;

[0088] The generating unit 44 is configured to generate abnormal alarm information based on the abnormal determination result when the abnormal determination result of the electric meter to be monitored indicates that the electric meter to be monitored has an abnormality, and send the abnormal alarm information to the operation and maintenance end.

[0089] The above-mentioned device for determining the abnormal type of the electric meter determines the electric meter to be monitored based on the meter replacement service work order through the acquisition unit 41, and obtains the attribute data of the electric meter to be monitored; the metering data of the electric meter to be monitored is extracted from the metering database based on the attribute data of the electric meter to be monitored by the preprocessing unit 42, and the metering data is preprocessed to obtain the preprocessed metering data, wherein the metering data at least includes: the current data of each phase of the electric meter to be monitored within the target time period, the voltage data of each phase of the electric meter to be monitored within the target time period, and the electric quantity data of the electric meter to be monitored within the target time period; the determination unit 43 performs abnormal determination on the preprocessed metering data based on the pre-constructed abnormal determination rule to obtain the abnormal determination result of the electric meter to be monitored, wherein the abnormal determination result at least includes: abnormal situation and abnormal type; the generation unit 44 generates abnormal alarm information based on the abnormal determination result when the abnormal determination result of the electric meter to be monitored indicates that the electric meter to be monitored is abnormal, and sends the abnormal alarm information to the operation and maintenance end.

[0090] In this embodiment, the electric meter to be monitored is automatically captured through the meter replacement service work order, and the metering data of the electric meter to be monitored is extracted from the metering database. The metering data is analyzed and judged through the pre-constructed abnormality judgment rules, and the abnormal conditions and abnormal types of the electric meter to be analyzed are identified, so as to realize the automation and remoteness of the electric meter abnormality judgment, speed up the efficiency of the electric meter abnormality investigation, and enhance the accuracy of the abnormality identification results, thereby solving the technical problem of low investigation efficiency in the related technology of locating abnormal electric meters through the electricity charge errors of the electric meters, and manually troubleshooting the abnormal electric meters to determine the abnormal types and then troubleshoot the electric meter abnormalities.

[0091] Optionally, the abnormality judgment rule at least includes: a voltage abnormality judgment rule, and the judgment unit 43 includes: a first calling module, used to call the voltage abnormality judgment rule, and obtain the voltage abnormality threshold based on the voltage abnormality judgment rule; a first determination module, used to calculate the average value of the voltage data of each phase of the monitored meter within the target time period, and when the average value of the voltage data is less than the voltage abnormality threshold, determine that there is a voltage abnormality in the target phase, and generate the abnormality judgment result based on the voltage abnormality of the target phase.

[0092] Optionally, the abnormality judgment rule also includes: a pressure loss abnormality judgment rule, and the judgment unit 43 also includes: a second calling module, used to call the pressure loss abnormality judgment rule, and obtain the pressure loss abnormality value based on the pressure loss abnormality judgment rule; a first acquisition module, used to determine the type of the meter to be monitored, and when the type of the meter to be monitored is a three-phase four-wire meter, obtain the voltage value of each phase of the meter to be monitored at each monitoring time point; a second determination module, used to determine that there is a pressure loss abnormality in the target phase when the voltage value of any phase of the meter to be monitored at any monitoring time point is equal to the pressure loss abnormality value, and generate the abnormality judgment result based on the pressure loss abnormality of the target phase.

[0093] Optionally, the abnormality judgment rule also includes: a current abnormality judgment rule, and the judgment unit 43 also includes: a third calling module, used to call the current abnormality judgment rule; a first judgment module, used to judge the current data of each phase of the monitored meter within the target time period based on the current abnormality judgment rule, and when the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, it is determined that there is a current abnormality in the target phase, and the abnormality judgment result is generated based on the current abnormality of the target phase.

[0094] Optionally, the abnormality judgment rule also includes: an electric quantity abnormality judgment rule, and the judgment unit 43 also includes: a fourth calling module, used to call the electric quantity abnormality judgment rule, and obtain the electric quantity target value based on the electric quantity abnormality judgment rule; a second judgment module, used to judge the electric quantity data of the monitored meter within the target time period based on the electric quantity abnormality judgment rule, and when the forward active electric quantity of the monitored meter is the electric quantity target value and the reverse active electric quantity is not the electric quantity target value, determine that there is a wiring abnormality in the monitored meter, and generate the abnormality judgment result based on the wiring abnormality of the monitored meter.

[0095] Optionally, the device for determining the abnormality type of the electric meter also includes: a second acquisition module, used to obtain a lower limit of an electric power threshold and an upper limit of an electric power threshold based on the electric power abnormality determination rule; a third determination module, used to determine the electric power data of the electric meter to be monitored within a target time period based on the electric power abnormality determination rule, and when the forward active power of the electric meter to be monitored is not the electric power target value and the reverse active power is not the electric power target value, calculate the product of the forward active power and the lower limit of the electric power threshold to obtain a first product, and calculate the product of the forward active power and the upper limit of the electric power threshold to obtain a second product; A comparison module is used to compare the reverse active power with the first product and the second product to obtain a comparison result; a third determination module is used to determine that the monitored electric meter has a one-phase reverse connection abnormality when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, and generate the abnormality judgment result based on the one-phase reverse connection abnormality; a fourth determination module is used to determine that the monitored electric meter has a two-phase reverse connection abnormality when the comparison result indicates that the reverse active power is greater than or equal to the second product, and generate the abnormality judgment result based on the two-phase reverse connection abnormality.

[0096] Optionally, the attribute data of the monitored electric meter includes at least: user type data of the user to which the monitored electric meter belongs, and the preprocessing unit 42 includes: a first elimination module, used to eliminate the metering data of the monitored electric meter corresponding to the target user type when the user type data indicates that the user to which the monitored electric meter belongs is a target user type, wherein the target user type includes at least: photovoltaic power generation users and small power plant users; a first filling module, used to fill in the missing values ​​in the metering data of the monitored electric meter.

[0097] The above-mentioned device for determining the abnormality type of the electric meter may also include a processor and a memory. The above-mentioned acquisition unit 41, preprocessing unit 42, determination unit 43, generation unit 44, etc. are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize the corresponding functions.

[0098] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be provided, and the abnormal type of the electric meter can be identified and determined by adjusting kernel parameters.

[0099] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one storage chip.

[0100] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, the computer-readable storage medium including a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned methods for determining the abnormality type of the electric meter.

[0101] According to another aspect of an embodiment of the present invention, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by one or more processors, the one or more processors implement any one of the above-mentioned methods for determining the abnormality type of the electric meter.

[0102] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that is initialized with the following method steps: determining a meter to be monitored based on a meter replacement service work order, and obtaining attribute data of the meter to be monitored; extracting metering data of the meter to be monitored from a metering database based on the attribute data of the meter to be monitored, and preprocessing the metering data to obtain preprocessed metering data, wherein the metering data at least includes: current data of each phase of the meter to be monitored within a target time period, voltage data of each phase of the meter to be monitored within the target time period, and electricity data of the meter to be monitored within the target time period; performing an abnormality determination on the preprocessed metering data based on a pre-constructed abnormality determination rule to obtain an abnormality determination result of the meter to be monitored, wherein the abnormality determination result at least includes: an abnormal situation and an abnormality type; when the abnormality determination result of the meter to be monitored indicates that the meter to be monitored has an abnormality, generating abnormal alarm information based on the abnormality determination result, and sending the abnormal alarm information to the operation and maintenance end.

[0103] The present application also provides a computer program product, which, when executed on a data processing device, is also suitable for executing a program initialized with the following method steps: the abnormality judgment rule at least includes: a voltage abnormality judgment rule, and the pre-processed metering data is subjected to abnormality judgment based on the pre-constructed abnormality judgment rule, and the step of obtaining the abnormality judgment result of the monitored meter includes: calling the voltage abnormality judgment rule, and obtaining the voltage abnormality threshold value based on the voltage abnormality judgment rule; calculating the average voltage data of each phase of the monitored meter within the target time period, and when the average voltage data is less than the voltage abnormality threshold value, determining that there is a voltage abnormality in the target phase, and generating the abnormality judgment result based on the voltage abnormality of the target phase.

[0104] The present application also provides a computer program product, which, when executed on a data processing device, is also suitable for executing a program initialized with the following method steps: the abnormality judgment rule also includes: a pressure loss abnormality judgment rule, and the pre-processed metering data is subjected to abnormality judgment based on the pre-constructed abnormality judgment rule. The step of obtaining the abnormality judgment result of the monitored meter also includes: calling the pressure loss abnormality judgment rule, and obtaining the pressure loss abnormality value based on the pressure loss abnormality judgment rule; determining the type of the meter to be monitored, and when the type of the meter to be monitored is a three-phase four-wire meter, obtaining the voltage value of each phase of the meter to be monitored at each monitoring time point; when the voltage value of any phase of the meter to be monitored at any monitoring time point is equal to the pressure loss abnormality value, determining that there is a pressure loss abnormality in the target phase, and generating an abnormality judgment result based on the pressure loss abnormality of the target phase.

[0105] The present application also provides a computer program product, which, when executed on a data processing device, is also suitable for executing a program initialized with the following method steps: the abnormality judgment rule also includes: a current abnormality judgment rule, and the pre-processed metering data is judged abnormally based on the pre-constructed abnormality judgment rule. The step of obtaining the abnormality judgment result of the monitored meter also includes: calling the current abnormality judgment rule; judging the current data of each phase of the monitored meter within the target time period based on the current abnormality judgment rule, and when the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, it is determined that there is a current abnormality in the target phase, and an abnormality judgment result is generated based on the current abnormality of the target phase.

[0106] The present application also provides a computer program product, which, when executed on a data processing device, is also suitable for executing a program initialized with the following method steps: the abnormality judgment rule also includes: an electric quantity abnormality judgment rule, and an abnormality judgment is performed on the pre-processed metering data based on a pre-constructed abnormality judgment rule. The step of obtaining the abnormality judgment result of the monitored meter also includes: calling the electric quantity abnormality judgment rule, and obtaining the electric quantity target value based on the electric quantity abnormality judgment rule; judging the electric quantity data of the monitored meter within the target time period based on the electric quantity abnormality judgment rule, and determining that the meter to be monitored has a wiring abnormality when the forward active electric quantity of the meter to be monitored is the electric quantity target value and the reverse active electric quantity is not the electric quantity target value, and generating an abnormality judgment result based on the wiring abnormality of the meter to be monitored.

[0107] The present application also provides a computer program product, which, when executed on a data processing device, is also suitable for executing a program that is initialized with the following method steps: after calling the power anomaly determination rule, it also includes: obtaining a power threshold lower limit and a power threshold upper limit based on the power anomaly determination rule; determining the power data of the monitored meter within the target time period based on the power anomaly determination rule, and when the forward active power of the monitored meter is not the power target value and the reverse active power is not the power target value, calculating the product of the forward active power and the power threshold lower limit to obtain a first product, and calculating the product of the forward active power and the power threshold upper limit to obtain a second product; comparing the reverse active power with the first product and the second product to obtain a comparison result; when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, determining that the meter to be monitored has a one-phase reverse connection abnormality, and generating an abnormality determination result based on the one-phase reverse connection abnormality; when the comparison result indicates that the reverse active power is greater than or equal to the second product, determining that the meter to be monitored has a two-phase reverse connection abnormality, and generating an abnormality determination result based on the two-phase reverse connection abnormality.

[0108] The present application also provides a computer program product, which, when executed on a data processing device, is also suitable for executing a program initialized with the following method steps: the attribute data of the monitored meter includes at least: the user type data of the user to whom the monitored meter belongs, the metering data is preprocessed, and the steps of obtaining the preprocessed metering data include: when the user type data indicates that the user to which the monitored meter belongs is a target user type, the metering data of the monitored meter corresponding to the target user type is eliminated, wherein the target user type includes at least: photovoltaic power generation users, small power plant users; missing values ​​in the metering data of the monitored meter are filled.

[0109] Figure 5 is a schematic diagram of an electronic device (or mobile device) for determining an abnormality type of an electric meter according to an embodiment of the present invention, such as Figure 5As shown, the electronic device includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor is used to execute computer-readable instructions. It can be understood by those skilled in the art that Figure 5 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 5 More or fewer components as shown, or with Figure 5 Different configurations are shown.

[0110] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0111] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0112] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0113] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0114] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0115] If the integrated unit is implemented in the form of 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 the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0116] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining an abnormality type of an electric meter, characterized in that: Applicable to a system for determining an abnormality type of an electric meter, the method for determining an abnormality type of an electric meter includes: Determine the electric meter to be monitored based on the meter replacement work order, and obtain attribute data of the electric meter to be monitored; Based on the attribute data of the electric meter to be monitored, the metering data of the electric meter to be monitored is extracted from the metering database, and the metering data is preprocessed to obtain the preprocessed metering data, wherein the metering data at least includes: the current data of each phase of the electric meter to be monitored within the target time period, the voltage data of each phase of the electric meter to be monitored within the target time period, and the electric quantity data of the electric meter to be monitored within the target time period, and the attribute data of the electric meter to be monitored at least includes: the user type data of the user to which the electric meter to be monitored belongs, and the steps of preprocessing the metering data to obtain the preprocessed metering data include: when the user type data indicates that the user to which the electric meter to be monitored belongs is the target user type, the metering data of the electric meter to be monitored corresponding to the user of the target user type is eliminated, wherein the target user type includes at least: photovoltaic power generation users, small power plant users; and missing values ​​in the metering data of the electric meter to be monitored are filled; Based on the pre-constructed abnormality determination rules, the pre-processed metering data is subjected to abnormality determination to obtain an abnormality determination result of the electric meter to be monitored, wherein the abnormality determination result at least includes: an abnormal situation and an abnormality type; The abnormality determination rule also includes: an abnormality determination rule for electric quantity, and the step of performing abnormality determination on the preprocessed metering data based on the pre-constructed abnormality determination rule, and obtaining the abnormality determination result of the electric meter to be monitored also includes: calling the abnormality determination rule for electric quantity, and obtaining the target electric quantity value based on the abnormality determination rule for electric quantity; determining the electric quantity data of the electric meter to be monitored within the target time period based on the abnormality determination rule for electric quantity, and determining that the electric meter to be monitored has a wiring abnormality when the forward active electric quantity of the electric meter to be monitored is the target electric quantity value and the reverse active electric quantity is not the target electric quantity value, and generating the abnormality determination result based on the wiring abnormality of the electric meter to be monitored; After calling the power anomaly determination rule, it also includes: obtaining a power threshold lower limit and a power threshold upper limit based on the power anomaly determination rule; determining the power data of the monitored meter within the target time period based on the power anomaly determination rule, and when the forward active power of the monitored meter is not the power target value and the reverse active power is not the power target value, calculating the product of the forward active power and the power threshold lower limit to obtain a first product, and calculating the product of the forward active power and the power threshold upper limit to obtain a second product; comparing the reverse active power with the first product and the second product to obtain a comparison result; when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, determining that the monitored meter has a one-phase reverse connection abnormality, and generating the abnormality determination result based on the one-phase reverse connection abnormality; when the comparison result indicates that the reverse active power is greater than or equal to the second product, determining that the monitored meter has a two-phase reverse connection abnormality, and generating the abnormality determination result based on the two-phase reverse connection abnormality; When the abnormality determination result of the electric meter to be monitored indicates that the electric meter to be monitored has an abnormality, abnormality alarm information is generated based on the abnormality determination result, and the abnormality alarm information is sent to the operation and maintenance end.

2. The method according to claim 1, characterized in that: The abnormality determination rule at least includes: a voltage abnormality determination rule. The step of performing abnormality determination on the pre-processed metering data based on the pre-constructed abnormality determination rule to obtain the abnormality determination result of the electric meter to be monitored includes: Invoking a voltage anomaly determination rule, and obtaining a voltage anomaly threshold based on the voltage anomaly determination rule; The average voltage data of each phase of the monitored electric meter within the target time period is calculated. When the average voltage data is less than the voltage abnormality threshold, it is determined that a voltage abnormality exists in the target phase, and the abnormality determination result is generated based on the voltage abnormality of the target phase.

3. The method according to claim 1, characterized in that: The abnormality determination rule also includes: a pressure loss abnormality determination rule, and the step of performing abnormality determination on the pre-processed metering data based on the pre-constructed abnormality determination rule, and obtaining the abnormality determination result of the electric meter to be monitored also includes: Invoking a pressure loss abnormality determination rule, and obtaining a pressure loss abnormality value based on the pressure loss abnormality determination rule; Determine the type of the electric meter to be monitored, and if the type of the electric meter to be monitored is a three-phase four-wire electric meter, obtain the voltage value of each phase of the electric meter to be monitored at each monitoring time point; When the voltage value of any phase of the monitored electric meter at any monitoring time point is equal to the voltage loss abnormality value, it is determined that the target phase has a voltage loss abnormality, and the abnormality determination result is generated based on the voltage loss abnormality of the target phase.

4. The method according to claim 1, characterized in that: The abnormality determination rule also includes: a current abnormality determination rule, and the step of performing abnormality determination on the preprocessed metering data based on the pre-constructed abnormality determination rule, and obtaining the abnormality determination result of the electric meter to be monitored also includes: Invoking the current abnormality determination rule; Based on the current anomaly determination rule, the current data of each phase of the monitored electric meter within the target time period is determined. When the current data of the target phase is less than or equal to the current threshold and the duration is greater than or equal to the duration threshold, it is determined that there is a current anomaly in the target phase, and the anomaly determination result is generated based on the current anomaly of the target phase.

5. A device for determining an abnormality type of an electric meter, characterized in that: Applicable to a system for determining an abnormality type of an electric meter, the device for determining an abnormality type of an electric meter comprises: An acquisition unit, used to determine the electric meter to be monitored based on the meter replacement service work order, and acquire attribute data of the electric meter to be monitored; A preprocessing unit, used for extracting the metering data of the meter to be monitored from the metering database based on the attribute data of the meter to be monitored, and preprocessing the metering data to obtain the preprocessed metering data, wherein the metering data at least includes: the current data of each phase of the meter to be monitored within the target time period, the voltage data of each phase of the meter to be monitored within the target time period, and the electricity data of the meter to be monitored within the target time period, and the attribute data of the meter to be monitored at least includes: the user type data of the user to which the meter to be monitored belongs, and the preprocessing unit includes: a first elimination module, used for eliminating the metering data of the meter to be monitored of the user corresponding to the target user type when the user type data indicates that the user to which the meter to be monitored belongs is the target user type, wherein the target user type includes at least: photovoltaic power generation users and small power plant users; a first filling module, used for filling the missing values ​​in the metering data of the meter to be monitored; A determination unit, configured to perform abnormality determination on the preprocessed metering data based on a pre-constructed abnormality determination rule, and obtain an abnormality determination result of the electric meter to be monitored, wherein the abnormality determination result at least includes: an abnormal situation and an abnormality type; The abnormality determination rule also includes: an electric quantity abnormality determination rule, and the determination unit also includes: a fourth calling module, which is used to call the electric quantity abnormality determination rule and obtain the electric quantity target value based on the electric quantity abnormality determination rule; a second determination module, which is used to determine the electric quantity data of the electric meter to be monitored within the target time period based on the electric quantity abnormality determination rule, and when the forward active electric quantity of the electric meter to be monitored is the electric quantity target value and the reverse active electric quantity is not the electric quantity target value, determine that the electric meter to be monitored has a wiring abnormality, and generate the abnormality determination result based on the wiring abnormality of the electric meter to be monitored; The device for determining the abnormal type of the electric meter further includes: a second acquisition module, which is used to acquire the lower limit of the electric power threshold and the upper limit of the electric power threshold based on the electric power abnormality determination rule; a third determination module, which is used to determine the electric power data of the electric meter to be monitored within the target time period based on the electric power abnormality determination rule, and when the forward active power of the electric meter to be monitored is not the electric power target value and the reverse active power is not the electric power target value, calculate the product of the forward active power and the lower limit of the electric power threshold to obtain a first product, and calculate the product of the forward active power and the upper limit of the electric power threshold to obtain a second product; the first ratio a comparison module, configured to compare the reverse active power with the first product and the second product to obtain a comparison result; a third determination module, configured to determine that the electric meter to be monitored has a one-phase reverse connection abnormality when the comparison result indicates that the reverse active power is greater than or equal to the first product and less than the second product, and to generate the abnormality determination result based on the one-phase reverse connection abnormality; a fourth determination module, configured to determine that the electric meter to be monitored has a two-phase reverse connection abnormality when the comparison result indicates that the reverse active power is greater than or equal to the second product, and to generate the abnormality determination result based on the two-phase reverse connection abnormality; A generating unit is used to generate abnormal alarm information based on the abnormal determination result when the abnormal determination result of the electric meter to be monitored indicates that the electric meter to be monitored has an abnormality, and send the abnormal alarm information to the operation and maintenance end.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for determining the abnormality type of the electric meter according to any one of claims 1 to 4.

7. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining the abnormality type of the electric meter as described in any one of claims 1 to 4.

Images