Method, device and storage medium for monitoring secondary circuit of transformer based on three-phase angle waveform diagram

Abstract

The present invention relates to the technical field of electricity detection, and specifically discloses a method, device and storage medium for monitoring the secondary circuit of a transformer based on a three-phase angle waveform diagram, wherein the method comprises: collecting three-phase operation data output by the transformer within a preset time period; performing three-phase angle analysis based on the three-phase operation data to generate a distribution law of the operation angle; judging whether the output wiring of the transformer is abnormal based on the distribution law of the operation angle; if the output wiring is abnormal, outputting a first detection result; if the output wiring is normal, obtaining the current acquisition data of the electric meter, judging whether the electric meter has a short circuit abnormality based on the current acquisition data, and generating a judgment result; outputting a second detection result based on the judgment result. By comparing the actual angle with the normal angle, wiring errors or electricity theft behaviors can be discovered online and in a timely manner, and corresponding measures can be taken immediately, thereby protecting the interests of the power supply company and meeting the actual needs of the company.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity consumption detection, and in particular to a method, a device and a storage medium for monitoring a secondary circuit of a transformer based on a three-phase angle waveform diagram. Background Art

[0002] In the power system, the electric energy produced by power generation enterprises is converted and transmitted to the power consumption scene through transformers for users to use. In order to measure the actual consumption of the transmitted electric energy, the transmitted electric energy is converted into high and low voltage by mutual inductors, and the relevant data is collected through detection instruments.

[0003] For a long time, some electricity users, driven by profit, have tried every possible means to tamper with electricity metering equipment (for example, energy meters) or power lines to steal electricity. The theft of electricity has caused losses to power operating companies, disrupted the normal order of power supply and use, and may cause power grid safety accidents and even cause casualties. The loss of electricity increases line losses and increases the burden on other legitimate users. Therefore, the consequences of the theft of electricity are not simply a matter of power loss, but also affect the safe operation of the power grid and social stability.

[0004] At present, the way to investigate and deal with electricity theft basically still relies on manually carrying detection equipment, such as multimeters, clamp meters, phase meters, on-site meter calibration devices, etc. In actual use, these methods and equipment, on the one hand, require a lot of manpower to conduct on-site inspections of large areas, so the labor cost is high, the work efficiency is low, and the accuracy is also low. Summary of the invention

[0005] In order to overcome the above-mentioned technical problems existing in the prior art, the embodiments of the present invention provide a method, device and storage medium for monitoring the secondary circuit of a transformer based on a three-phase angle waveform diagram. By comparing the actual angle with the normal angle, wiring errors or electricity theft can be discovered online and in a timely manner, and corresponding measures can be taken immediately, thereby protecting the interests of power supply companies and meeting the actual needs of companies.

[0006] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a method for monitoring a secondary circuit of a transformer based on a three-phase angle waveform diagram, wherein the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are electrically connected to the corresponding interfaces of the electric meter respectively, and the method includes: collecting the three-phase operation data output by the transformer within a preset time length; performing a three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution law; judging whether the output connection of the transformer is abnormal based on the operation angle distribution law; if the output connection is abnormal, outputting a first detection result; if the output connection is normal, obtaining the current acquisition data of the electric meter, judging whether the electric meter has a short circuit abnormality based on the current acquisition data, and generating a judgment result; outputting a second detection result based on the judgment result.

[0007] Preferably, the three-phase angle analysis is performed based on the three-phase operating data to generate the operating angle distribution law, including: determining the angle data between each phase based on the three-phase operating data; performing linear fitting processing on the angle data to obtain a fitted curve; performing curve smoothing processing on the fitted curve to obtain a processed curve; performing law analysis on the processed curve to generate the operating angle distribution law.

[0008] Preferably, performing regularity analysis on the processed curve to generate a running angle distribution law includes: obtaining a preset standard distribution type, determining whether the similarity between the processed curve and the preset standard distribution type is greater than a preset similarity threshold; if it is greater than the preset similarity threshold, determining the corresponding standard distribution type, and generating a corresponding angle distribution law; if it is less than the preset similarity threshold, cutting the processed curve based on the preset standard distribution type to obtain a cut curve; and generating a corresponding running angle distribution law based on the preset standard distribution type and the cut curve.

[0009] Preferably, judging whether the output connection of the transformer is abnormal based on the operating angle distribution law comprises: acquiring historical normal operation data of the transformer, and determining the corresponding normal angle distribution law based on the historical normal operation data; extracting the operating distribution characteristics of the operating angle distribution law, and the normal distribution characteristics of the normal angle distribution law; performing deviation analysis on the operating distribution characteristics and the normal distribution characteristics based on a preset deviation range to generate a deviation analysis result; and determining whether the output connection of the transformer is abnormal based on the deviation analysis result.

[0010] Preferably, the method also includes: before performing the deviation analysis, obtaining the three-phase angle deviation data of the output connection of the transformer in the case of incorrect wiring; determining the upper limit value of the three-phase angle deviation based on the three-phase angle deviation data; determining the maximum value of the three-phase angle deviation based on the normal distribution characteristics; obtaining the load configuration information corresponding to the transformer, and generating an adjustment factor based on the load configuration information; generating a lower limit value of the three-phase angle deviation based on the maximum value and the adjustment factor; and determining a preset deviation range based on the upper limit value and the lower limit value.

[0011] Preferably, judging whether the electric meter has a short-circuit abnormality based on the current acquisition data and generating a judgment result includes: determining a normal current value of the electric meter based on the three-phase operation data; judging whether the normal current value of the electric meter is greater than the current acquisition data; if so, generating a judgment result that the electric meter has a short-circuit abnormality; otherwise, generating a judgment result that the electric meter is normal.

[0012] Preferably, the method also includes: if the normal value of the electric meter current is greater than the current collection data, obtaining the usage time of the electric meter; when the usage time of the electric meter is less than the normal service life of the electric meter, collecting the abnormal time when the current collection data becomes abnormal; based on the abnormal time, determining whether the current abnormality of the electric meter is a periodic abnormality; if so, generating a judgment result that the electric meter has a short circuit abnormality; otherwise, generating a judgment result that the electric meter is aging.

[0013] Preferably, the method further includes: if the current abnormality of the electric meter is a periodic abnormality, controlling the electric meter to be turned off for a preset time; during the period when the electric meter is turned off, detecting whether there is a leakage current flowing through the electric meter; if so, generating a judgment result that the electric meter has a leakage; otherwise, generating a judgment result that the electric meter has a short circuit abnormality.

[0014] Correspondingly, the present invention also provides a transformer secondary circuit detection device based on a three-phase angle waveform diagram, wherein the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are all electrically connected to the electric meter, and the A-phase output terminal, the A-phase output terminal and the C-phase output terminal of the electric meter are respectively electrically connected to the corresponding interfaces of the electric meter, and the device includes: a data acquisition unit, used to collect the three-phase operation data output by the transformer within a preset time length; a rule analysis unit, used to perform three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution rule; a judgment unit, used to judge whether the output connection of the transformer is abnormal based on the operation angle distribution rule; a first result output unit, used to output a first detection result when the output connection is abnormal; a second result output unit, used to obtain the current acquisition data of the electric meter when the output connection is normal, judge whether the electric meter has a short circuit abnormality based on the current acquisition data, and generate a judgment result; output a second detection result based on the judgment result.

[0015] Correspondingly, the present invention also provides a storage medium. When the instructions in the storage medium are executed by a central processing unit, the central processing unit can execute the transformer secondary circuit monitoring method based on a three-phase angle waveform diagram as described in any one of the embodiments of the present invention.

[0016] Through the technical solution provided by the present invention, the present invention has at least the following technical effects:

[0017] By extracting the upper and lower limits of the angle between each phase of the three-phase operating data of the transformer, the slope of the angle change curve, and the distribution law type of the angle change, the three-phase operating data characteristics are constructed to analyze whether there is wiring abnormality in the three-phase operating data characteristics. In this way, there is no need for manual offline investigation, and online, fast and efficient identification of transformer secondary side wiring errors and power theft analysis are achieved, saving labor costs and improving efficiency, meeting the actual needs of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0019] Figure 1 A circuit connection block diagram of a transformer secondary circuit detection system provided in an embodiment of the present application;

[0020] Figure 2 A flow chart of a method for monitoring a secondary circuit of a transformer based on a three-phase angle waveform diagram provided in an embodiment of the present application;

[0021] Figure 3A functional module block diagram of a transformer secondary circuit monitoring device based on a three-phase angle waveform diagram provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0023] The terms "system" and "network" in the embodiments of the present invention can be used interchangeably. "Multiple" means two or more than two. In view of this, "multiple" can also be understood as "at least two" in the embodiments of the present invention. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / ", unless otherwise specified, generally indicates that the previous and subsequent associated objects are in an "or" relationship. In addition, it should be understood that in the description of the embodiments of the present invention, the words "first", "second", etc. are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0024] The background technology of the present invention is first introduced below.

[0025] Among the users of special transformers, the high-voltage 10KV three-phase electricity is usually connected to the load to provide corresponding power supply to the load. In the process of electricity use, in order to monitor the electricity consumption of the electricity users, the power supply company often configures the corresponding mutual inductor on the 10KV three-phase electricity and connects the meter to the three-phase output end of the mutual inductor to collect its electricity consumption data. However, in the actual power supply process, in order to reduce the electricity consumption, on the one hand, the user swaps the three-phase wires on the secondary side of the mutual inductor (for example, swaps the A-phase wire and the C-phase wire), which will lead to a reduction in the measured electricity, so as to achieve the purpose of stealing electricity; on the other hand, the user may also connect a jumper to the meter to reduce the current entering the meter, so as to reduce the electricity consumption measured by the meter, and achieve the purpose of stealing electricity. In the prior art, maintenance personnel often regularly patrol the electricity consumption area to check the above problems and deal with them, but the existing methods have technical problems such as high labor cost, strong hysteresis, and low accuracy, which cannot meet the actual needs of enterprises.

[0026] To solve the above problems, see Figure 1, is a schematic diagram of a transformer secondary circuit detection system provided by an embodiment of the present invention. In this detection system, the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are electrically connected to the corresponding interfaces of the electric meter respectively, and the intelligent management terminal is electrically connected to the three-phase output terminals of the secondary side of the transformer through three contacts respectively to collect the operating data of the three phases of the secondary side of the transformer. At the same time, it is connected to the electric meter through a 485 interface to read the meter detection data output by the electric meter. The intelligent management terminal is a terminal device developed by the applicant with secondary circuit data collection and wireless communication functions. Through the above-mentioned detection system, accurate collection and analysis of the secondary side data of the transformer is realized.

[0027] See also Figure 2 The embodiment of the present invention provides a method for monitoring a secondary circuit of a transformer based on a three-phase angle waveform diagram, wherein the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are electrically connected to corresponding interfaces of an electric meter respectively, and the method comprises:

[0028] S10: collecting three-phase operation data output by the transformer within a preset time period;

[0029] S20: performing three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution law;

[0030] S30: judging whether the output connection of the mutual inductor is abnormal based on the distribution law of the operating angle;

[0031] S41: If the output wiring is abnormal, output a first detection result;

[0032] S42: If the output wiring is normal, obtain the current acquisition data of the electric meter, determine whether the electric meter has a short circuit abnormality based on the current acquisition data, and generate a determination result; and output a second detection result based on the determination result.

[0033] In one possible implementation, the three-phase operating data output by the transformer within a preset time period, such as the three-phase voltage and three-phase current phase angles, are obtained in real time through an intelligent management terminal, and then a three-phase angle analysis is performed based on the three-phase operating data to generate an operating angle distribution law.

[0034] Ideally, the deviation fluctuation range of the voltage phase and the corresponding current phase is between 30° and 60°, and it conforms to the normal distribution law. For example, 80% of the deviations are concentrated around 45° (the above data is only an example. When the connected load is different, the fluctuation range is different and the fluctuation distribution law is also different). Therefore, by performing three-phase angle analysis on the three-phase operation data, the operation angle distribution law can be generated.

[0035] In an embodiment of the present invention, the three-phase angle analysis is performed based on the three-phase operating data to generate an operating angle distribution law, including: determining the angle data between each phase based on the three-phase operating data; performing linear fitting processing on the angle data to obtain a fitted curve; performing curve smoothing processing on the fitted curve to obtain a processed curve; performing law analysis on the processed curve to generate an operating angle distribution law.

[0036] In a possible implementation, after obtaining the three-phase operation data, the angle between each phase is calculated, and the angle data between each phase is statistically summarized. At this time, the angle data of each phase is further linearly fitted, and a fitting curve describing the angle change trend is obtained. In order to make the fitted curve smoother and reduce the impact of random fluctuations in the data on the analysis results, the fitting curve is further smoothed. Furthermore, by analyzing the processed curve, the distribution law of the angle in the three-phase system is identified. In an embodiment of the present invention, the distribution law includes but is not limited to normal distribution, Poisson distribution, exponential distribution and other distribution laws.

[0037] In an embodiment of the present invention, performing regularity analysis on the processed curve to generate a running angle distribution law includes: obtaining a preset standard distribution type, determining whether the similarity between the processed curve and the preset standard distribution type is greater than a preset similarity threshold; if it is greater than the preset similarity threshold, determining the corresponding standard distribution type, and generating a corresponding angle distribution law; if it is less than the preset similarity threshold, cutting the processed curve based on the preset standard distribution type to obtain a cut curve; and generating a corresponding running angle distribution law based on the preset standard distribution type and the cut curve.

[0038] In one possible implementation, a preset standard distribution type is first obtained, for example, the preset standard distribution type is a standard normal distribution, Poisson distribution, exponential distribution, or other distribution type, and then the processed curve is compared with the preset standard distribution type. When the similarity between the processed curve and the preset standard distribution type is greater than a preset similarity threshold, it means that the processed curve is very close to the theoretical or empirical distribution pattern in shape and features. Therefore, the corresponding standard distribution type is directly determined, and the standard distribution type is used as the angle distribution law corresponding to the processed curve.

[0039] If the similarity between the processed curve and the preset standard distribution type is less than the preset similarity threshold, it indicates that the curve deviates greatly from the standard distribution type. Therefore, using any single distribution type to describe its distribution law may lead to a large deviation. Therefore, the processed curve needs to be further processed. Specifically, the curve is cut based on the preset standard distribution type to obtain a cut curve that is more in line with the preset standard distribution type, that is, the processed curve is divided into a curve composed of multiple standard distribution types, where each cut curve corresponds to a standard distribution type, so as to facilitate subsequent distribution law analysis. At this time, the distribution law of the operating angle of the segmented curve is analyzed to obtain a quantifiable and accurate distribution law of the operating angle. At this time, it is judged whether the output wiring of the transformer is abnormal based on the distribution law of the operating angle.

[0040] In an embodiment of the present invention, judging whether the output connection of the transformer is abnormal based on the operating angle distribution law includes: obtaining historical normal operation data of the transformer, and determining the corresponding normal angle distribution law based on the historical normal operation data; extracting the operating distribution characteristics of the operating angle distribution law, and the normal distribution characteristics of the normal angle distribution law; performing deviation analysis on the operating distribution characteristics and the normal distribution characteristics based on a preset deviation range to generate a deviation analysis result; and determining whether the output connection of the transformer is abnormal based on the deviation analysis result.

[0041] Since the wiring of the transformer and the electric meter is accurate when they are installed, after the installation is completed, the technicians can collect the operation data for a certain period of time (such as 2-3 days), which is the historical normal operation data. Based on the operation data, the normal phase angle data of the three-phase voltage and three-phase current under normal circumstances can be statistically calculated.

[0042] In a possible implementation, the historical normal operation data of the transformer is first obtained, and then the distribution law of the historical normal operation data is analyzed based on the same principle, and the normal angle distribution law is generated. Further, by extracting the normal distribution features of the normal angle distribution law and inputting them into a pre-prepared intelligent learning model for training, the intelligent learning model is, for example, a deep learning model, to obtain a trained model, the normal distribution features include but are not limited to the endpoints, extreme points, curve slopes, distribution types (normal distribution, Poisson distribution, exponential distribution, etc.) of the angle coverage range, etc., the operating distribution features of the operating angle distribution law are extracted at this time, and the feature points are input into the trained model for identification to determine whether there is a phase abnormality. If there is a phase abnormality, it can be determined that there is a wiring error or a line change, thereby achieving effective identification of the electricity theft behavior on the secondary side of the transformer, and immediately dispatching technicians to the site for processing.

[0043] In another embodiment, the deviation range of the voltage and current angle at the three-phase output terminal of the transformer can also be determined according to the actual load situation, and the output wiring abnormality can be analyzed according to the deviation range. Therefore, before performing the deviation analysis, it is necessary to determine the accurate deviation range.

[0044] In an embodiment of the present invention, the method also includes: before performing the deviation analysis, obtaining the three-phase angle deviation data of the output connection of the transformer in the case of incorrect wiring; determining the upper limit value of the three-phase angle deviation based on the three-phase angle deviation data; determining the maximum value of the three-phase angle deviation based on the normal distribution characteristics; obtaining the load configuration information corresponding to the transformer, and generating an adjustment factor based on the load configuration information; generating a lower limit value of the three-phase angle deviation based on the maximum value and the adjustment factor; and determining a preset deviation range based on the upper limit value and the lower limit value.

[0045] In a possible implementation, before performing the deviation analysis, three-phase angle deviation data are collected in the case of known wiring errors. These data can be used as the basis for analyzing abnormal conditions. Technicians can simulate all wiring errors in advance and collect corresponding three-phase angle deviation data in these cases to establish a reference model of abnormal conditions based on the deviation conditions during wiring errors. Furthermore, the upper limit of the three-phase angle deviation is determined based on the three-phase angle deviation data, that is, the maximum deviation of the phase angle can be reached in the case of wiring errors. On the other hand, the maximum deviation range of the transformer output under normal working conditions is determined, that is, the minimum trigger deviation of wiring errors under normal conditions is determined.

[0046] Since different load conditions will cause fluctuations in the secondary output of the transformer, which will further lead to fluctuations in the angle deviation between the three-phase voltage and the three-phase current, the load configuration information corresponding to the transformer is further obtained, and an adjustment factor is generated based on the load configuration information. Specifically, the corresponding adjustment factor can be comprehensively determined according to the impact of inductive loads, frequency conversion equipment, high-power motors and other equipment on the power grid, and the lower limit of the three-phase angle deviation is generated based on the maximum value and the adjustment factor. That is, the lower limit of the accurate deviation corresponding to the three-phase output is determined if the transformer has incorrect wiring under the current load condition. When the deviation of the three-phase angle reaches the lower limit, it can be considered that there is a wiring abnormality.

[0047] In the embodiment of the present invention, the lower limit value can be set more accurately by combining the adjustment factor to adapt to different load conditions and transformer characteristics. Further, by determining the upper limit value and the lower limit value, a clear deviation range can be set. This range will serve as a key criterion for judging whether the transformer output wiring is abnormal. This preset deviation range takes into account the deviation under normal operation and incorrect wiring conditions, as well as the influence of load configuration, making the deviation analysis more comprehensive and accurate.

[0048] In the embodiment of the present invention, each phase data of the transformer is collected through the intelligent management terminal, the actual angle relationship between the three phases is obtained through the phase data, and whether there is a wiring error is determined by comparing whether the operating angle distribution law is consistent with the actual phase angle distribution law, thereby realizing online and real-time monitoring of the wiring errors at the secondary output end of the transformer, effectively eliminating the electricity theft caused by line replacement, and meeting the actual needs of the enterprise.

[0049] In actual application, if abnormal wiring is detected, the first detection result of "abnormal wiring, please go to the site immediately for troubleshooting" can be output to prompt technicians to go to the site for troubleshooting. If the output wiring is normal, further analysis of the electricity theft on the meter side is required. Since the meter monitors the current data flowing through the meter in real time during daily use and outputs it through the communication interface, the intelligent management terminal can perform accurate analysis and verification.

[0050] In an embodiment of the present invention, judging whether the electric meter has a short-circuit abnormality based on the current acquisition data and generating a judgment result includes: determining a normal current value of the electric meter based on the three-phase operation data; judging whether the normal current value of the electric meter is greater than the current acquisition data; if so, generating a judgment result that the electric meter has a short-circuit abnormality; otherwise, generating a judgment result that the electric meter is normal.

[0051] In a possible implementation, if the output connection of the transformer is judged to be normal based on the distribution law of the operating angle, the electric meter is further analyzed to see if there is a short-circuit abnormality. Specifically, on the one hand, the intelligent management terminal uses the three-phase current data collected from the transformer as normal current data. On the other hand, the intelligent management terminal is connected to the electric meter through the 485 interface to read the real-time current data of the electric meter. By comparing the real-time current data of the electric meter with the normal current data, if the real-time current data of the electric meter is less than the normal current data, it can be determined that the current data is abnormal. At this time, the electric meter may be short-circuited. At this time, the second detection result of "electric meter abnormality" can be output, otherwise, a judgment result that the electric meter is normal is generated.

[0052] By collecting the three-phase operation data output by the transformer within a preset time and performing three-phase angle analysis based on these data, the distribution law of the operation angle can be generated more accurately, so as to more accurately judge whether the output wiring of the transformer is abnormal. At the same time, by comparing the real-time current data of the meter with the normal current data, it is possible to effectively detect power theft behaviors such as open circuit and short circuit in the energy meter, and improve the safety and reliability of the power system by timely discovering power theft.

[0053] However, in actual applications, the abnormal current data at the meter end may not be caused by the short circuit of the meter, but may also be caused by abnormal detection data caused by meter aging, abnormal current data caused by meter leakage, etc., so they need to be checked one by one.

[0054] In an embodiment of the present invention, the method also includes: if the normal value of the electric meter current is greater than the current collection data, obtaining the usage time of the electric meter; if the usage time of the electric meter is less than the normal service life of the electric meter, collecting the abnormal time when the current collection data becomes abnormal; based on the abnormal time, determining whether the current abnormality of the electric meter is a periodic abnormality; if so, generating a judgment result that the electric meter has a short circuit abnormality; otherwise, generating a judgment result that the electric meter is aging.

[0055] In one possible implementation, first check whether the meter is aging or damaged, resulting in the inconsistency between the meter data and the normal current data. The average service life of the same type of meters in the big data is used as the reference life. If the service life of the current meter is greater than the reference life, it is considered that the current meter has reached its service life and has aging problems. Therefore, the above-mentioned meter usage anomaly may be caused by the aging of the meter, so the technician is prompted to replace and maintain it; if the current meter has not reached its service life, further observe the abnormal time and frequency of the current data in the meter data to determine whether the current data is a periodic anomaly or a random anomaly. If it is a random anomaly, it can be determined that the current data anomaly is caused by the damage of the meter, and the user is reminded to replace or repair the meter. Otherwise, a judgment result of the aging of the meter is generated.

[0056] Furthermore, in an embodiment of the present invention, the method also includes: if the current abnormality of the electric meter is a periodic abnormality, controlling the electric meter to be turned off for a preset time; during the period when the electric meter is turned off, detecting whether there is a leakage current flowing through the electric meter; if so, generating a judgment result that the electric meter has a leakage; otherwise, generating a judgment result that the electric meter has a short circuit abnormality.

[0057] In a possible implementation, if there are periodic anomalies in the current data, it is necessary to further check whether the electric meter has leakage. Specifically, the electric meter can be turned off for 5-10 seconds, and during the period when the electric meter is turned off, the secondary current data of the transformer collected by the intelligent management terminal is used to monitor whether there is still a current signal. If the collected current signal is a continuous current signal, it is determined that the electric meter has leakage. If the possibility of leakage and aging damage of the electric meter is excluded, and the current data of the electric meter is still abnormal, it is considered that the electric meter is connected to a short-circuit wire. At this time, a judgment result that the electric meter has a short-circuit anomaly is generated, that is, the conclusion that electricity theft exists is output.

[0058] See also Figure 3 Based on the same inventive concept, an embodiment of the present invention provides a transformer secondary circuit detection device based on a three-phase angle waveform diagram, wherein the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are all electrically connected to an electric meter, and the A-phase output terminal, the A-phase output terminal and the C-phase output terminal of the electric meter are respectively electrically connected to corresponding interfaces of the electric meter, and the device comprises: a data acquisition unit, for acquiring the three-phase operation data output by the transformer within a preset time length; a rule analysis unit, for performing a three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution rule; a judgment unit, for judging whether the output connection of the transformer is abnormal based on the operation angle distribution rule; a first result output unit, for outputting a first detection result when the output connection is abnormal; a second result output unit, for obtaining the current acquisition data of the electric meter when the output connection is normal, judging whether the electric meter has a short circuit abnormality based on the current acquisition data, and generating a judgment result; and outputting a second detection result based on the judgment result.

[0059] Furthermore, an embodiment of the present invention also provides a storage medium. When the instructions in the storage medium are executed by a central processing unit, the central processing unit is able to execute the transformer secondary circuit monitoring method based on a three-phase angle waveform diagram as described in any one of the embodiments of the present invention.

[0060] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific implementation modes can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0061] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0062] In addition, various implementations of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for monitoring a secondary circuit of a transformer based on a three-phase angle waveform diagram, wherein the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are electrically connected to corresponding interfaces of an electric meter respectively, characterized in that: The method comprises: Collecting three-phase operation data output by the mutual inductor within a preset time period; Perform three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution law; Judging whether the output connection of the mutual inductor is abnormal based on the distribution law of the running angle; If the output wiring is abnormal, output a first detection result; If the output wiring is normal, obtaining the current acquisition data of the electric meter, judging whether the electric meter has a short circuit abnormality based on the current acquisition data, and generating a judgment result; outputting a second detection result based on the judgment result; The performing three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution law includes: Determine angle data between each phase based on the three-phase operation data; Performing linear fitting processing on the angle data to obtain a fitted curve; Performing curve smoothing processing on the fitted curve to obtain a processed curve; Performing regularity analysis on the processed curve to generate a distribution law of operating angles; The performing regularity analysis on the processed curve to generate a distribution law of the running angle includes: Obtaining a preset standard distribution type, and determining whether the similarity between the processed curve and the preset standard distribution type is greater than a preset similarity threshold; If it is greater than the preset similarity threshold, determine the corresponding standard distribution type and generate the corresponding angle distribution law; If the similarity is less than the preset threshold, cutting the processed curve based on the preset standard distribution type to obtain a cut curve; Generate a corresponding running angle distribution law based on the preset standard distribution type and the cut curve; The determining whether the output connection of the transformer is abnormal based on the distribution law of the operating angle includes: Acquire historical normal operation data of the mutual inductor, and determine a corresponding normal angle distribution law based on the historical normal operation data; Extracting the running distribution characteristics of the running angle distribution law and the normal distribution characteristics of the normal angle distribution law; Performing deviation analysis on the operation distribution feature and the normal distribution feature based on a preset deviation range to generate a deviation analysis result; Determining whether the output wiring of the transformer is abnormal based on the deviation analysis result; The method further comprises: Before performing the deviation analysis, obtaining three-phase angle deviation data of the output wiring of the transformer in the case of incorrect wiring; Determining an upper limit value of a three-phase angle deviation based on the three-phase angle deviation data; Determining the maximum value of the three-phase angle deviation based on the normal distribution characteristics; Acquire load configuration information corresponding to the mutual inductor, and generate an adjustment factor based on the load configuration information; generating a lower limit value of the three-phase angle deviation based on the maximum value and the adjustment factor; A preset deviation range is determined based on the upper limit value and the lower limit value.

2. The method according to claim 1, characterized in that: The step of judging whether the electric meter has a short circuit abnormality based on the current collection data and generating a judgment result includes: Determine a normal current value of the electric meter based on the three-phase operation data; Determine whether the normal value of the electric meter current is greater than the current collection data; If so, a judgment result is generated that the electric meter has a short circuit abnormality; Otherwise, a judgment result that the electric meter is normal is generated.

3. The method according to claim 2, characterized in that The method further comprises: If the normal value of the electric meter current is greater than the current collection data, obtaining the usage time of the electric meter; When the usage time of the electric meter is less than the normal service life of the electric meter, collecting the abnormal time when the current collection data is abnormal; Determining whether the current abnormality of the electric meter is a periodic abnormality based on the abnormal time; If so, a judgment result is generated that the electric meter has a short circuit abnormality; Otherwise, a determination result of meter aging is generated.

4. The method according to claim 3, characterized in that The method further comprises: If the current abnormality of the electric meter is a periodic abnormality, controlling the electric meter to shut down for a preset time period; During the shutdown period of the electric meter, detecting whether there is a leakage current flowing through the electric meter; If so, a judgment result is generated that the electric meter has leakage; Otherwise, a judgment result is generated that the electric meter has a short circuit abnormality.

5. A transformer secondary circuit detection device based on a three-phase angle waveform diagram, wherein the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the transformer are all electrically connected to an electric meter, and the A-phase output terminal, the B-phase output terminal and the C-phase output terminal of the electric meter are electrically connected to corresponding interfaces of the electric meter respectively, characterized in that: The device comprises: A data acquisition unit, used to collect three-phase operation data output by the mutual inductor within a preset time period; A law analysis unit, used for performing three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution law; A judging unit, configured to judge whether the output connection of the mutual inductor is abnormal based on the distribution law of the running angle; A first result output unit, configured to output a first detection result when the output wiring is abnormal; A second result output unit is used to obtain the current acquisition data of the electric meter when the output wiring is normal, judge whether the electric meter has a short circuit abnormality based on the current acquisition data, and generate a judgment result; output a second detection result based on the judgment result; The performing three-phase angle analysis based on the three-phase operation data to generate an operation angle distribution law includes: Determine angle data between each phase based on the three-phase operation data; Performing linear fitting processing on the angle data to obtain a fitted curve; Performing curve smoothing processing on the fitted curve to obtain a processed curve; Performing regularity analysis on the processed curve to generate a distribution law of operating angles; The performing regularity analysis on the processed curve to generate a distribution law of the running angle includes: Obtaining a preset standard distribution type, and determining whether the similarity between the processed curve and the preset standard distribution type is greater than a preset similarity threshold; If it is greater than the preset similarity threshold, determine the corresponding standard distribution type and generate the corresponding angle distribution law; If the similarity is less than the preset threshold, cutting the processed curve based on the preset standard distribution type to obtain a cut curve; Generate a corresponding running angle distribution law based on the preset standard distribution type and the cut curve; The determining whether the output connection of the transformer is abnormal based on the distribution law of the operating angle includes: Acquire historical normal operation data of the mutual inductor, and determine a corresponding normal angle distribution law based on the historical normal operation data; Extracting the running distribution characteristics of the running angle distribution law and the normal distribution characteristics of the normal angle distribution law; Performing deviation analysis on the operation distribution feature and the normal distribution feature based on a preset deviation range to generate a deviation analysis result; Determining whether the output wiring of the transformer is abnormal based on the deviation analysis result; The device is also used for: Before performing the deviation analysis, obtaining three-phase angle deviation data of the output wiring of the transformer in the case of incorrect wiring; Determining an upper limit value of a three-phase angle deviation based on the three-phase angle deviation data; Determining the maximum value of the three-phase angle deviation based on the normal distribution characteristics; Acquire load configuration information corresponding to the mutual inductor, and generate an adjustment factor based on the load configuration information; generating a lower limit value of the three-phase angle deviation based on the maximum value and the adjustment factor; A preset deviation range is determined based on the upper limit value and the lower limit value.

6. A storage medium, when the instructions in the storage medium are executed by a central processing unit, the central processing unit is enabled to execute the transformer secondary circuit monitoring method based on a three-phase angle waveform diagram as described in any one of claims 1 to 4.

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