Ammeter phase identification method and system, storage medium and acquisition and analysis device

Abstract

The invention provides an electricity meter phase identification method and system, a storage medium and an acquisition and analysis device, and belongs to the technical field of electricity meter phase identification. In the application, firstly, each inlet phase signal of three-phase electricity at an inlet of a meter box is sampled to obtain a meter box current sequence and a meter box voltage sequence; and an ammeter current sequence and an ammeter voltage sequence of ammeter phase signals in the three-phase electricity flowing through the ammeter in the ammeter box are obtained. Then, according to the meter box current sequence, the meter box voltage sequence, the electric meter current sequence and the electric meter voltage sequence, obtaining a difference index and a correlation index between each inlet phase signal and each electric meter phase signal; and finally, according to the difference index and the correlation index, obtaining a discrimination coefficient between each inlet phase signal and each electric meter phase signal, and according to the discrimination coefficient, identifying the connection relation between the meter box and the electric meter. Therefore, the identification of the connection relation is realized through the voltage and current data of each ammeter, and additional communication devices and the like do not need to be installed, so that the identification cost is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of electricity meter phase identification, and in particular to an electricity meter phase identification method, system, storage medium and collection and analysis device. Background Art

[0002] Line loss is the physical loss generated when electric energy passes through power grid equipment, including resistance loss, reactive power loss of inductance and capacitance, etc. Line loss is closely related to the structure of the power grid, equipment parameters and the transmission method of electric energy. In the power grid, different meter phases may be connected to different power grid equipment or lines. Therefore, accurate meter phase identification can accurately calculate the line loss of each line or each device, so as to formulate effective loss reduction measures.

[0003] At present, the method for phase identification of electric meters mainly adopts high-speed power line carrier communication (HPLC) technology, that is, the HPLC communication module injects characteristic current of multi-frequency or single-frequency signals at the meter end and receives the characteristic current at the main meter end to perform topology identification, thereby solving the problem of phase identification of the electric meter.

[0004] However, the method of injecting characteristic current requires the installation of devices such as HPLC modules on each electricity meter, resulting in high costs for meter phase identification. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present application provides an electric meter phase identification method, system, storage medium and collection and analysis device.

[0006] In a first aspect, the present application provides a method for identifying phases of an electric meter, comprising:

[0007] Sampling each inlet phase signal of the three-phase electricity at the meter box inlet to obtain a meter box current sequence and a meter box voltage sequence of each of the inlet phase signals;

[0008] Obtaining a meter current sequence and a meter voltage sequence of meter phase signals in the three-phase electricity flowing through the meter in the meter box;

[0009] According to the meter box voltage sequence and the meter voltage sequence, obtaining a difference index between each of the inlet phase signals and each of the meter phase signals;

[0010] Obtaining a correlation index between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence;

[0011] According to the difference index and the correlation index, a discrimination coefficient between each of the inlet phase signals and each of the electric meter phase signals is obtained, and the phase connection relationship between the meter box and the electric meter is identified according to the discrimination coefficient.

[0012] Optionally, obtaining the difference index between each of the inlet phase signals and each of the meter phase signals according to the meter box voltage sequence and the meter voltage sequence includes:

[0013] Respectively calculating the absolute value of the voltage difference between the meter box voltage sequence and the electric meter voltage sequence at the same sampling time;

[0014] Traversing and calculating the average value of all absolute values ​​of the pressure difference between each of the inlet phase signals and each of the electricity meter phase signals, respectively obtaining the difference index between each of the inlet phase signals and each of the electricity meter phase signals;

[0015] Among them, the difference index D xy =(|v x (0)-v y (0)|+|v x (1)-v y (1)|+…+|v x (T)-v y (T)|) / T; x includes a, b and c, which represent phase A, phase B and phase C in the meter phase signal respectively, v x (t) represents the meter voltage sequence of phase A, phase B and phase C; y includes A, B and C, which represent phase A, phase B and phase C in the input phase signal respectively, v y (t) represents the meter box voltage sequence of phase A, phase B and phase C; T represents the number of samples.

[0016] Optionally, obtaining a correlation index between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence, the meter box voltage sequence, the meter current sequence, and the meter voltage sequence includes:

[0017] According to the meter box voltage sequence and the meter voltage sequence, the voltage correlation between each of the inlet phase signals and each of the meter phase signals is obtained;

[0018] According to the meter box current sequence and the electric meter current sequence, obtaining the current correlation between each of the inlet phase signals and each of the electric meter phase signals;

[0019] Each current correlation and the corresponding voltage correlation are superimposed to obtain a correlation index between each inlet phase signal and each meter phase signal.

[0020] Optionally, obtaining the voltage correlation between each of the inlet phase signals and each of the meter phase signals according to the meter box voltage sequence and the meter voltage sequence includes:

[0021] respectively calculating a first mean value of the meter box voltage sequence and a second mean value of the electric meter voltage sequence;

[0022] Obtaining a first deviation value of the meter box voltage sequence according to the first mean value and each voltage data in the meter box voltage sequence;

[0023] Obtaining a second deviation value of the electric meter voltage sequence according to the second mean value and each voltage data in the electric meter voltage sequence;

[0024] According to the first deviation value, the second deviation value and the number of samples, the voltage correlation between each of the inlet phase signals and each of the meter phase signals is obtained;

[0025] Among them, the voltage correlation y includes A, B and C, which represent the A phase, B phase and C phase of the input phase signal respectively, v y (t) represents the meter box voltage sequence of phase A, phase B and phase C, u y represents the first mean value of the voltage sequence of the meter box of phase A, phase B and phase C, v y (t)-u y represents the first deviation value; x includes a, b and c, which respectively represent phase A, phase B and phase C in the meter phase signal; v x (t) represents the meter voltage sequence of phase A, phase B and phase C; u x represents the second mean value of the meter voltage sequence of phase A, phase B and phase C, v x (t)-u x represents the second deviation value; T represents the number of samples.

[0026] Optionally, obtaining the current correlation between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence and the meter current sequence includes:

[0027] Performing differential processing on the meter box current sequence to obtain a meter box differential sequence;

[0028] Performing differential processing on the electric meter current sequence to obtain an electric meter differential sequence;

[0029] According to a preset current threshold, the meter box differential sequence is subjected to three-valued logic processing to obtain a first three-valued sequence for characterizing the meter box current event distribution, and the electric meter differential sequence is subjected to three-valued logic processing to obtain a second three-valued sequence for characterizing the electric meter current event distribution;

[0030] According to the first three-value sequence and the second three-value sequence, the current correlation between each of the inlet phase signals and each of the electric meter phase signals is obtained;

[0031] Among them, the table box difference sequence d y (t) = i y (t)-i y (t-1), i y (t) represents the meter box current sequence; the meter differential sequence d x (t) = i x (t)-i x (t-1), i x (t) represents the meter current sequence;

[0032] The first three-value sequence

[0033] Second ternary sequence δ represents the preset current threshold;

[0034] Current correlation

[0035] Optionally, obtaining a discrimination coefficient between each of the inlet phase signals and each of the electric meter phase signals according to the difference index and the correlation index, and identifying a phase connection relationship between the meter box and the electric meter according to the discrimination coefficient, includes:

[0036] Using the ratio of the difference index to the correlation index as a discrimination coefficient between each of the inlet phase signals and each of the meter phase signals;

[0037] Determining a target discrimination coefficient from the discrimination coefficients corresponding to the phase signal of the electric meter;

[0038] Identifying a connection relationship between the meter box and the electric meter according to the target discrimination coefficient;

[0039] Among them, the discriminant coefficient p xy =D xy / (r xy +C xy );D xy represents the difference index; r xy Indicates voltage correlation, C xy represents the current correlation, r xy +C xy Represents the correlation index.

[0040] Optionally, determining a target discrimination coefficient from the discrimination coefficients corresponding to the phase signals of the electric meter includes:

[0041] A discrimination coefficient greater than zero is determined from the discrimination coefficients corresponding to the phase signal of the electric meter, and a minimum value among the discrimination coefficients greater than zero is selected as a target discrimination coefficient.

[0042] Optionally, when the electric meter is a single-phase electric meter, the electric meter phase signal is an A-phase signal;

[0043] When the electric meter is a three-phase electric meter, the electric meter phase signal includes an A-phase signal, a B-phase signal and a C-phase signal.

[0044] Optionally, also include:

[0045] Acquire first phase information of each of the input phase signals;

[0046] Acquire second phase information of each phase of the three-phase electricity output by the transformer connected to the meter box inlet;

[0047] Obtaining a phase connection relationship between the transformer and the meter box according to the first phase information and the second phase information;

[0048] The phase connection relationship between the electric meter and the transformer is obtained according to the connection relationship of each phase between the transformer and the meter box and the phase connection relationship between the meter box and the electric meter.

[0049] In a second aspect, the present application provides an electric meter phase identification system, comprising:

[0050] A meter box sampling module is used to sample each inlet phase signal of the three-phase electricity at the meter box inlet to obtain a meter box current sequence and a meter box voltage sequence of each of the inlet phase signals;

[0051] An electric meter sampling module, used for obtaining an electric meter current sequence and an electric meter voltage sequence of an electric meter phase signal in the three-phase electricity flowing through the electric meter in the meter box;

[0052] A difference calculation module, used for obtaining a difference index between each of the inlet phase signals and each of the meter phase signals according to the meter box voltage sequence and the meter voltage sequence;

[0053] A correlation calculation module, used for obtaining a correlation index between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence;

[0054] The phase identification module is used to obtain a discrimination coefficient between each of the inlet phase signals and each of the electric meter phase signals according to the difference index and the correlation index, and to identify the phase connection relationship between the meter box and the electric meter according to the discrimination coefficient.

[0055] In a third aspect, the present application provides a storage medium storing a computer program, wherein the computer program is loaded by a processor to execute the steps in the above-mentioned method for phase identification of an electric meter.

[0056] In a third aspect, the present application provides a collection and analysis device, including a power supply, a collection device, a memory, and a processor;

[0057] The power supply is connected to the acquisition device, the memory and the processor, and is used to supply power to the acquisition device, the memory and the processor;

[0058] The acquisition device is used to acquire the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence;

[0059] The memory stores a computer program;

[0060] The processor is used to run the computer program in the memory to execute the steps in the above-mentioned electricity meter phase identification method.

[0061] In summary, in the present application, the difference index between each input phase signal and each meter phase signal is obtained through the meter box voltage sequence and the meter voltage sequence to quantify the difference between the input phase signal and each meter phase signal; and then the correlation index between each input phase signal and each meter phase signal is obtained through the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence to quantify the correlation. Finally, the discrimination coefficient between each input phase signal and each meter phase signal is obtained through the difference index and the correlation index. The discrimination coefficient can characterize the possibility of a connection relationship between the meter box phase signal and the meter phase signal, thereby obtaining the phase connection relationship between the meter box and the meter. In this way, the phase connection relationship can be identified only through the voltage and current data of each meter, without the need to install additional communication devices, etc., thereby reducing the cost of phase identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0063] Figure 1 Schematic diagram of an application scenario of an electric meter phase identification method in an embodiment of the present application

[0064] Figure 2 This is a flow chart of a method for identifying an electric meter phase in one embodiment of the present application;

[0065] Figure 3 This is a schematic diagram of a sampling device in one embodiment of the present application;

[0066] Figure 4 A flow chart of a method for generating a correlation index in one embodiment of the present application;

[0067] Figure 5 A flow chart of a method for generating voltage correlation in one embodiment of the present application;

[0068] Figure 6 A flow chart of a method for generating current correlation in one embodiment of the present application;

[0069] Figure 7 A flow chart of a method for generating a connection relationship between an electric meter and a transformer in one embodiment of the present application;

[0070] Figure 8 A schematic diagram of an electric meter phase identification system in one embodiment of the present application;

[0071] Fig. 9 This is a schematic diagram of a data collection and analysis device in one embodiment of the present application. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0073] In the description of the present application, it should be understood that the terms "first" and "second" are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In the present application, the word "exemplary" is used to mean "used as an example, illustration or description". Any embodiment described as "exemplary" in the present application is not necessarily interpreted as being more preferred or more advantageous than other embodiments. In order to enable any technician in the field to implement and use the present application, the following description is given. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present application can also be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details that make the description of the present application obscure. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the widest range of principles and features disclosed in the present application.

[0074] The electricity meter phase identification method in the embodiment of the present application is applied to an electricity meter phase identification system, and the electricity meter phase identification system is arranged in a collection and analysis device; the collection and analysis device can be a terminal, for example, a mobile phone or a tablet computer.

[0075] like Figure 1 As shown, Figure 1 This is a schematic diagram of an application scenario of the electricity meter phase identification method in the embodiment of the present application. The application scenario of the electricity meter phase identification method in the embodiment of the present application includes a collection and analysis device 100, in which an electricity meter phase identification system is integrated, and a computer-readable storage medium corresponding to the electricity meter phase identification method is run in the collection and analysis device 100 to execute the steps of the electricity meter phase identification method.

[0076] Understandably, Figure 1 The collection and analysis device in the application scenario of the electricity meter phase identification method shown, or the device included in the collection and analysis device, does not constitute a limitation on the embodiments of the present application, that is, the number of devices and types of devices included in the application scenario of the electricity meter phase identification method, or the number of devices and types of devices included in each device do not affect the overall implementation of the technical solution in the embodiments of the present application, and can all be regarded as equivalent replacements or derivatives of the technical solution claimed to be protected by the embodiments of the present application.

[0077] The acquisition and analysis device 100 in the embodiment of the present application may be an independent device, or a device network or device cluster composed of devices. For example, the acquisition and analysis device 100 described in the embodiment of the present application includes but is not limited to a computer, a network host, a single network device, a plurality of network device sets or a cloud device composed of a plurality of devices. The cloud device is composed of a large number of computers or network devices based on cloud computing.

[0078] Those skilled in the art will understand that Figure 1 The application scenario shown in the figure is only an application scenario corresponding to the technical solution of the present application, and does not constitute a limitation on the application scenario of the technical solution of the present application. Other application scenarios may also include Figure 1 More or fewer collection and analysis devices, or network connection relationships of collection and analysis devices, such as Figure 1 Only one acquisition and analysis device is shown. It can be understood that the scenario of the electricity meter phase identification method can also include one or more other acquisition and analysis devices, which are not limited here. The acquisition and analysis device 100 can also include a memory for storing information related to the electricity meter phase identification method.

[0079] In addition, in the application scenario of the meter phase identification method in the embodiment of the present application, the acquisition and analysis device 100 can be provided with a display device, or the acquisition and analysis device 100 is not provided with a display device and is connected to an external display device 200 for communication, and the display device 200 is used to output the result of the execution of the meter phase identification method in the acquisition and analysis device. The acquisition and analysis device 100 can access the background database 300, which can be the local memory of the acquisition and analysis device 100, and the background database 300 can also be set in the cloud, and the background database 300 stores information related to the meter phase identification method.

[0080] It should be noted that Figure 1 The application scenario of the electricity meter phase identification method shown is merely an example. The application scenario of the electricity meter phase identification method described in the embodiment of the present application is intended to more clearly illustrate the technical solution of the embodiment of the present application, and does not constitute a limitation on the technical solution provided in the embodiment of the present application.

[0081] Based on the application scenario of the above-mentioned electricity meter phase identification method, an embodiment of the electricity meter phase identification method is proposed.

[0082] First, as Figure 2 As shown, in one embodiment, the present application provides an electricity meter phase identification method, which includes steps S11 to S15, which are described in detail below.

[0083] Step S11: sampling each inlet phase signal of the three-phase electricity at the meter box inlet to obtain a meter box current sequence and a meter box voltage sequence of each inlet phase signal.

[0084] The input phase signal includes phase A, phase B and phase C of the three-phase electricity.

[0085] As an example, the acquisition device can be installed in the meter box to sample each inlet phase signal of the three-phase electricity at the meter box entrance. The acquisition device may include a voltage and current acquisition device, a first communication module, a controller, and a second communication module; wherein the first communication module may be an HPLC communication module, for example, the HPLC communication module may use a STA (station) site so that the first communication module communicates with the transformer connected to the meter box entrance, and the transformer usually uses a CCO (Central Coordination Office) site or a PCO (Proxy Coordination Office) site.

[0086] Reference Figure 3 As an example, the acquisition device performs sampling at preset intervals within the sampling period, for example, current data and voltage data are collected every 1 minute to obtain the meter box current sequence and meter box voltage sequence respectively. The sampling period can be selected from the time end of the day when the load fluctuation is large, such as 18:00-22:00 at night. The meter box voltage sequence can be the effective value of the inlet voltage signal, and the meter box voltage sequence can be expressed as v b (t), v B (t) and v C (t); the meter box current sequence can be expressed as i A (t), i B (t) and i C (t), where t = 1, 2, 3, ..., T; T is the number of samples in the sampling period.

[0087] Step S12: obtaining a meter current sequence and a meter voltage sequence of meter phase signals in the three-phase electricity flowing through the meter in the meter box.

[0088] In some embodiments, when the meter is a single-phase meter, the meter phase signal is a phase A signal. When the meter is a three-phase meter, the meter phase signal includes a phase A signal, a phase B signal, and a phase C signal. A three-phase meter is used as an example for description.

[0089] As an example, the second communication module in the acquisition device can be an RS485 module to communicate with the electric meter in the meter box. First, the acquisition device is used to synchronize all the electric meters in the meter box so that the input phase signal of the meter box inlet and the meter phase signals of all the electric meters are sampled at the same time; taking the nth electric meter as an example, the electric meter current sequence can be expressed as ia (t), i b (t) and i c (t); the meter current series can be expressed as v a (t), v b (t) and v c (t); where t = 1, 2, 3, ... T; T is the number of samples in the sampling period.

[0090] Step S13: according to the meter box voltage sequence and the meter voltage sequence, obtain the difference index between each inlet phase signal and each meter phase signal.

[0091] Among them, the difference index is used to indicate the difference between the inlet phase signal and the meter phase signal, that is, if the difference index is larger, it means that the difference between the inlet phase signal and the meter phase signal is larger; if the difference index is smaller, it means that the inlet phase signal and the meter phase signal are more similar.

[0092] Step S14: according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence, obtain the correlation index between each inlet phase signal and each meter phase signal.

[0093] The correlation index is used to characterize the trend and degree of change of one of the inlet phase signal and the meter phase signal as the other changes. The larger the correlation index, the stronger the linear relationship between the inlet phase signal and the meter phase signal. On the contrary, the smaller the correlation index, the weaker the linear relationship between the inlet phase signal and the meter phase signal.

[0094] Step S15: According to the difference index and the correlation index, the discrimination coefficient between each inlet phase signal and each meter phase signal is obtained, and the phase connection relationship between the meter box and the meter is identified according to the discrimination coefficient.

[0095] The phase connection relationship refers to the connection relationship between the three phases of the meter box and the three phases of the electric meter.

[0096] As an example, through the difference index and correlation index, the correlation between the inlet phase signal and each meter phase signal can be identified from the two perspectives of static difference and dynamic change trend. The greater the correlation, the greater the possibility that there is a connection relationship between the inlet phase signal and the meter phase signal.

[0097] In the above implementation, the difference index between each input phase signal and each meter phase signal is obtained through the meter box voltage sequence and the meter voltage sequence to quantify the difference between the input phase signal and each meter phase signal; and then the correlation index between each input phase signal and each meter phase signal is obtained through the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence to quantify the correlation. Finally, the discrimination coefficient between each input phase signal and each meter phase signal is obtained through the difference index and the correlation index. The discrimination coefficient can characterize the possibility of a connection relationship between the meter box phase signal and the meter phase signal, thereby obtaining the phase connection relationship between the meter box and the meter. In this way, the phase connection relationship can be identified only through the voltage and current data of each meter, without the need to install additional communication devices, etc., thereby reducing the cost of phase identification.

[0098] As an implementation of step S13, step S103 may include: step S131-step S132, which are described in detail below.

[0099] Step S131: respectively calculating the absolute value of the voltage difference between the meter box voltage sequence and the electric meter voltage sequence at the same sampling time.

[0100] Step S132: traverse and calculate the average value of all absolute values ​​of the pressure differences between each inlet phase signal and each meter phase signal, and obtain the difference index between each inlet phase signal and each meter phase signal respectively.

[0101] As an example, the difference index can be expressed as:

[0102] D xy =(|v x (0)-v y (0)|+|v x (1)-v y (1)|+…+|v x (T)-v y (T)|) / T.

[0103] Among them, x includes a, b and c, which represent phase A, phase B and phase C in the meter phase signal, and y includes A, B and C, which represent phase A, phase B and phase C in the input phase signal. x (t) represents the meter voltage sequence of phase A, phase B and phase C; v y (t) represents the voltage sequence of the meter box of phase A, phase B and phase C; T represents the number of samples. That is, there are nine difference indices, namely, D aA , D bA , D cA , D aB , D bB , D cB , D aC , D bCand D cC , for example D aA Indicates the difference index between the A-phase meter phase signal and the A-phase meter box phase signal.

[0104] In the above implementation, the difference index is obtained by calculating the Euclidean distance between each inlet phase signal and each meter phase signal, so as to quantify the static difference between the inlet phase signal and the meter phase signal.

[0105] Reference Figure 4 As an implementation of step S14, step S14 may include steps S141 to S143, which are described in detail below.

[0106] Step S141: According to the meter box voltage sequence and the meter voltage sequence, the voltage correlation between each inlet phase signal and each meter phase signal is obtained.

[0107] Step S142: according to the meter box current sequence and the meter current sequence, the current correlation between each inlet phase signal and each meter phase signal is obtained.

[0108] Step S143: Superimpose each current correlation and the corresponding voltage correlation respectively to obtain the correlation index between each inlet phase signal and each meter phase signal respectively.

[0109] In the above implementation, by respectively calculating the voltage correlation and current correlation between the meter box and the electric meter and superimposing the two to obtain a correlation index, not only can the influence of voltage fluctuations on the correlation between the two be expressed, but also the influence of current changes on the two be expressed, and the actual degree of correlation between the input phase signal and each electric meter phase signal can be more comprehensively reflected, thereby improving the accuracy of the correlation index.

[0110] Reference Figure 5 As an implementation of step S141, step S141 may include steps S1411 to S1414, which are described in detail below.

[0111] Step S1411: Calculate the first mean value of the meter box voltage sequence and the second mean value of the meter voltage sequence respectively.

[0112] As an example, taking the sampling number of the meter box voltage sequence and the meter voltage sequence as T, the first mean value can be expressed as u y =(v y (0)+v y (1)+……v y (T)) / T; where y includes A, B and C, representing the A phase, B phase and C phase in the input phase signal. Similarly, the second mean value can be expressed as u x =(v y (0)+vy (1)+……v x (T)) / T; wherein x includes a, b and c, representing phase A, phase B and phase C in the electric meter phase signal.

[0113] Step S1412: Obtain a first deviation value of the meter box voltage sequence according to the first mean value and each voltage data in the meter box voltage sequence.

[0114] Step S1413: obtaining a second deviation value of the electric meter voltage sequence according to the second mean value and each voltage data in the electric meter voltage sequence.

[0115] Step S1414: According to the first deviation value, the second deviation value and the number of samples, the voltage correlation between each inlet phase signal and each meter phase signal is obtained.

[0116] As an example, the voltage dependency can be expressed as:

[0117] Among them, x includes a, b and c, which represent phase A, phase B and phase C in the meter phase signal, and y includes A, B and C, which represent phase A, phase B and phase C in the input phase signal. x represents the second mean value of the meter voltage sequence of phase A, phase B and phase C, v x (t)-u x Indicates the second deviation value; u y represents the first mean value of the voltage sequence of the meter box of phase A, phase B and phase C, v y (t)-u y represents the first deviation value. That is, there are nine voltage correlations, namely r aA 、r bA 、r cA 、r aB 、r bB 、r cB 、r aC 、r bC and r cC , for example aA Indicates the voltage correlation between the A-phase meter phase signal and the A-phase meter box phase signal.

[0118] In the above implementation, the meter box voltage sequence and the meter voltage sequence are analyzed respectively by correlation analysis to obtain the voltage correlation.

[0119] Reference Figure 6 As an implementation of step S142, step S142 may include steps S1421 to S1424, which are described in detail below.

[0120] Step S1421: performing differential processing on the meter box current sequence to obtain a meter box differential sequence.

[0121] The differential processing refers to the value of the last current data in the meter box current sequence minus the previous current data to represent the current change of the input phase signal. The meter box differential sequence can be expressed as d y (t) = i y (t)-i y (t-1).

[0122] Step S1422: performing differential processing on the electric meter current sequence to obtain an electric meter differential sequence.

[0123] The differential processing refers to the subtraction of the value of the previous current data from the next current data in the meter current sequence to represent the current change of the meter phase signal. The meter differential sequence can be expressed as d x (t) = i x (t)-i x (t-1).

[0124] Step S1423: According to the preset current threshold, the meter box differential sequence is processed by three-valued logic to obtain a first three-valued sequence for characterizing the meter box current event distribution, and the meter differential sequence is processed by three-valued logic to obtain a second three-valued sequence for characterizing the meter current event distribution.

[0125] As an example, the first three-value sequence can be expressed as

[0126] The second ternary sequence can be expressed as

[0127] Wherein, δ represents the preset current threshold. The first three-value sequence and the second three-value sequence are used to count whether a current event occurs at each sampling moment. If the current change represented by the differential sequence (including the meter differential sequence and the meter box differential sequence) is greater than the preset current threshold, it means that a current event may occur at the current sampling moment, such as a large current change caused by the startup of an electrical device.

[0128] Step S1424: According to the first three-value sequence and the second three-value sequence, the current correlation between each inlet phase signal and each meter phase signal is obtained.

[0129] As an example, the current correlation can be expressed as That is, there are nine current correlations, namely C aA , C bA , C cA , C aB , C bB , C cB , C aC , C bC and C cC .

[0130] As an example, since the power grid is powered by a constant voltage, the voltage data in the meter box voltage sequence and the meter voltage sequence usually fluctuates around 220V. The current data in the meter box current sequence and the meter current sequence are related to the load. When the load increases, the current data will increase accordingly to meet the greater power demand, and when the current decreases, the current data will also decrease accordingly, that is, the current data will not remain near a fixed value. Therefore, when calculating the current correlation, the method of calculating the mean of the meter box current sequence and the meter current sequence cannot be used. Instead, the current change is statistically processed through differential processing, and the possible current events are statistically calculated through the current change, so as to calculate the current correlation between each inlet phase signal and each meter phase signal, so that the calculated current correlation is more accurate.

[0131] As an implementation of step S15, step S15 may include steps S151 to S153, which are described in detail below.

[0132] Step S151: The ratio of the difference index to the correlation index is used as a discrimination coefficient between each inlet phase signal and each meter phase signal.

[0133] Step S152: Determine a target discrimination coefficient from the discrimination coefficients corresponding to the meter phase signal.

[0134] Step S153: Identify the connection relationship between the meter box and the electric meter according to the target discrimination coefficient.

[0135] As an example, the discriminant coefficient can be expressed as p xy =D xy / (r xy +C xy );D xy represents the difference index; r xy Indicates voltage correlation, C xy represents the current correlation, r xy +C xy represents the correlation index; if the meter is a three-phase meter, then p xy There are nine in total, namely p aA 、p bA 、p cA 、p aB 、p bB 、p cB 、p aC 、p bC and p cC .

[0136] In some embodiments, step S152 may include: determining a discrimination coefficient greater than zero from the discrimination coefficients corresponding to the meter phase signal, and selecting a minimum value among the discrimination coefficients greater than zero as a target discrimination coefficient.

[0137] As an example, the larger the difference index is, the greater the difference between the inlet phase signal and the meter phase signal is; the smaller the difference index is, the more similar the inlet phase signal is to the meter phase signal. The value of the correlation index is -1 to 1. The larger the correlation index is, the stronger the linear relationship between the inlet phase signal and the meter phase signal is. The smaller the correlation index is, the weaker the linear relationship between the inlet phase signal and the meter phase signal is. As an example, when the correlation index is equal to 1, it means that the inlet phase signal and the meter phase signal are completely positively correlated. When the correlation index is equal to -1, it means that the inlet phase signal and the meter phase signal are completely negatively correlated, that is, when the inlet phase signal increases, the meter phase signal decreases at a fixed ratio. When the correlation index is equal to 0, it means that there is no linear correlation between the inlet phase signal and the meter phase signal. When the correlation index is a positive value (between 0 and 1), it means that the inlet phase signal and the meter phase signal are positively correlated. When the correlation index is a positive value (between -1 and 0), it means that the inlet phase signal and the meter phase signal are negatively correlated. The inlet phase signal and the meter phase signal with a positive correlation index and a minimum difference index are most likely to be connected. Therefore, the smallest positive value is selected from all the discrimination coefficients as the target discrimination coefficient, for example, p aB is the target discrimination coefficient, it means that there is a connection relationship between phase A of the meter and phase B of the meter box, thereby realizing the identification of the phase connection relationship.

[0138] The working principle is explained by taking a single-phase meter as an example. First, generate the difference index D aA =0.16, D aB =0.16, D aC =0.194. Then, the voltage correlation coefficient r is generated aA =0.22, r aB =0.73, r aC =-0.08. Then, the preset current threshold can be set as 0.5A to generate the current correlation coefficient c aA =0.21,c aB =0.4,c aC = 0. Finally, generate the discriminant coefficient:

[0139]

[0140] Among them, the discriminant coefficient p aB is the smallest positive value, that is, choose p aB is the target discrimination coefficient, then the connection relationship between the electric meter and the meter box is that phase A of the electric meter is connected to phase B of the meter box.

[0141] Reference Figure 7 As a further implementation of the electricity meter phase identification method, the electricity meter phase identification method may further include steps S21 to S24, which are described in detail below.

[0142] Step S21: Acquire first phase information of each input phase signal.

[0143] Step S22: Acquire the second phase information of each phase of the three-phase electricity output by the transformer connected to the meter box inlet.

[0144] As an example, the first phase information and the second phase information can be acquired through a first communication module in the acquisition device.

[0145] Step S23: Obtain the phase connection relationship between the transformer and the meter box according to the first phase information and the second phase information.

[0146] As an example, since the phase difference between each phase in the three-phase electricity is 120 degrees, the phases of the same line are the same, so by comparing the first phase information and the second phase information, the phase connection relationship between the transformer and the meter box can be accurately obtained.

[0147] Step S24: According to the connection relationship of each phase between the transformer and the meter box and the phase connection relationship between the meter box and the meter, the phase connection relationship between the meter and the transformer is obtained.

[0148] As an example, phase A of the meter box is connected to phase B of the transformer, and phase C of the meter is connected to phase A of the meter box. The phase connection relationship between the meter and the transformer is that phase C of the meter is connected to phase B of the transformer. In this way, a complete line connection from the meter to the transformer can be obtained to analyze line loss.

[0149] In the above implementation, the phase connection relationship between the transformer and the meter box is first obtained by acquiring the phase, and then combined with the phase connection relationship between the meter box and the electric meter obtained above, the phase connection relationship between the electric meter and the transformer can be obtained.

[0150] Second, refer to Figure 8 In one embodiment, the present application provides an electric meter phase identification system, which includes a meter box sampling module, an electric meter sampling module, a difference calculation module and a phase identification module.

[0151] Among them, the meter box sampling module is used to sample each inlet phase signal of the three-phase electricity at the meter box inlet to obtain the meter box current sequence and meter box voltage sequence of each inlet phase signal.

[0152] The electric meter sampling module is used to obtain the electric meter current sequence and the electric meter voltage sequence of the electric meter phase signal in the three-phase electricity flowing through the electric meter in the meter box.

[0153] The difference calculation module is used to obtain the difference index between each inlet phase signal and each meter phase signal according to the meter box voltage sequence and the meter voltage sequence.

[0154] The correlation calculation module is used to obtain the correlation index between each inlet phase signal and each meter phase signal according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence.

[0155] The phase identification module is used to obtain the discrimination coefficient between each inlet phase signal and each meter phase signal according to the difference index and the correlation index, and to identify the phase connection relationship between the meter box and the meter according to the discrimination coefficient.

[0156] Among them, the meter box sampling module, the electric meter sampling module, the difference calculation module and the phase identification module are respectively used to implement the above-mentioned steps S11 to S15.

[0157] In a third aspect, in one embodiment, the present application provides a collection and analysis device, including a power supply, a collection device, a memory, and a processor;

[0158] The power supply is connected to the acquisition device, the memory and the processor, and is used to supply power to the acquisition device, the memory and the processor;

[0159] The acquisition device is used to acquire the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence;

[0160] The memory stores a computer program;

[0161] The processor is used to run the computer program in the memory to execute the steps in the above-mentioned electricity meter phase identification method.

[0162] like Fig. 9 As shown, it shows the structure of the collection and analysis device involved in this application, specifically:

[0163] The collection and analysis device may include one or more processing core processors 401, one or more computer-readable storage media memories 402, a power supply 403, an input unit 404 and other components. Those skilled in the art will understand that Fig. 9 The structure of the collection and analysis device shown in the figure does not constitute a limitation on the collection and analysis device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0164] The processor 401 is the control center of the collection and analysis device. It uses various interfaces and lines to connect the various parts of the entire collection and analysis device. By running or executing the software programs and / or modules stored in the memory 402 and calling the data stored in the memory 402, it performs various functions of the collection and analysis device and processes data, thereby monitoring the collection and analysis device as a whole. Optionally, the processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and computer programs, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 401.

[0165] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, a computer program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the server, etc. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0166] The collection and analysis device also includes a power supply 403 for supplying power to each component. Preferably, the power supply 403 can be logically connected to the processor 401 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. The power supply 403 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0167] The collection and analysis device may further include an input unit 404, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0168] Although not shown, the collection and analysis device may also include a display unit, etc., which will not be described in detail here. Specifically in this embodiment, when the collection and analysis device is a model training collection and analysis device, the processor 401 in the collection and analysis device will load the executable files corresponding to the processes of one or more computer programs into the memory 402 according to the following instructions, and the processor 401 will run the computer program stored in the memory 402 to perform the steps of the above method.

[0169] A person of ordinary skill in the art will appreciate that all or part of the steps in any of the methods of the above embodiments may be completed by a computer program, or by controlling related hardware through a computer program. The computer program may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0170] In a fourth aspect, in one embodiment, the present application provides a storage medium storing a plurality of computer programs, which can be loaded by a processor to execute the steps of the above method.

[0171] It will be appreciated by those skilled in the art that any reference to memory, storage, database or other medium used in the embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0172] Since the computer program stored in the storage medium can execute the steps in the electricity meter phase identification method in any embodiment provided in the present application, the beneficial effects that can be achieved by the electricity meter phase identification method in any embodiment provided in the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0173] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0174] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the detailed description of other embodiments above, and will not be repeated here.

[0175] The above is a detailed introduction to an electric meter phase identification method, system, storage medium and acquisition and analysis device provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

[0176] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for identifying an electric meter phase, comprising providing a meter box and a plurality of electric meters arranged in the meter box, wherein: include: Sampling each inlet phase signal of the three-phase electricity at the meter box inlet to obtain a meter box current sequence and a meter box voltage sequence of each of the inlet phase signals; Obtaining a meter current sequence and a meter voltage sequence of meter phase signals in the three-phase electricity flowing through the meter in the meter box; According to the meter box voltage sequence and the meter voltage sequence, obtaining a difference index between each of the inlet phase signals and each of the meter phase signals; Obtaining a correlation index between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence; According to the difference index and the correlation index, a discrimination coefficient between each of the inlet phase signals and each of the electric meter phase signals is obtained, and the phase connection relationship between the meter box and the electric meter is identified according to the discrimination coefficient.

2. The method for identifying phase of an electric meter according to claim 1, characterized in that: The step of obtaining the difference index between each of the inlet phase signals and each of the meter phase signals according to the meter box voltage sequence and the meter voltage sequence comprises: Respectively calculating the absolute value of the voltage difference between the meter box voltage sequence and the electric meter voltage sequence at the same sampling time; Traversing and calculating the average value of all absolute values ​​of the pressure difference between each of the inlet phase signals and each of the electricity meter phase signals, respectively obtaining the difference index between each of the inlet phase signals and each of the electricity meter phase signals; Among them, the difference index D xy =(|v x (0)-v y (0)|+|v x (1)-v y (1)|+…+|v x (T)-v y (T)|) / T; x includes a, b and c, which represent phase A, phase B and phase C in the meter phase signal respectively, v x (t) represents the meter voltage sequence of phase A, phase B and phase C; y includes A, B and C, which represent phase A, phase B and phase C in the input phase signal respectively, v y (t) represents the meter box voltage sequence of phase A, phase B and phase C; T represents the number of samples.

3. The method for identifying phase of an electric meter according to claim 1, characterized in that: The step of obtaining a correlation index between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence comprises: According to the meter box voltage sequence and the meter voltage sequence, the voltage correlation between each of the inlet phase signals and each of the meter phase signals is obtained; According to the meter box current sequence and the electric meter current sequence, obtaining the current correlation between each of the inlet phase signals and each of the electric meter phase signals; Each current correlation and the corresponding voltage correlation are superimposed to obtain a correlation index between each inlet phase signal and each meter phase signal.

4. The method for identifying phase of an electric meter according to claim 3, characterized in that: The step of obtaining the voltage correlation between each of the inlet phase signals and each of the meter phase signals according to the meter box voltage sequence and the meter voltage sequence comprises: respectively calculating a first mean value of the meter box voltage sequence and a second mean value of the electric meter voltage sequence; Obtaining a first deviation value of the meter box voltage sequence according to the first mean value and each voltage data in the meter box voltage sequence; Obtaining a second deviation value of the electric meter voltage sequence according to the second mean value and each voltage data in the electric meter voltage sequence; According to the first deviation value, the second deviation value and the number of samples, the voltage correlation between each of the inlet phase signals and each of the meter phase signals is obtained; Among them, the voltage correlation y includes A, B and C, which represent the A phase, B phase and C phase of the input phase signal respectively, v y (t) represents the meter box voltage sequence of phase A, phase B and phase C, u y represents the first mean value of the voltage sequence of the meter box of phase A, phase B and phase C, v y (t)-u y represents the first deviation value; x includes a, b and c, which respectively represent phase A, phase B and phase C in the meter phase signal; v x (t) represents the meter voltage sequence of phase A, phase B and phase C; u x represents the second mean value of the meter voltage sequence of phase A, phase B and phase C, v x (t)-u x represents the second deviation value; T represents the number of samples.

5. The method for identifying phase of an electric meter according to claim 3, characterized in that: The step of obtaining the current correlation between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence and the meter current sequence comprises: Performing differential processing on the meter box current sequence to obtain a meter box differential sequence; Performing differential processing on the electric meter current sequence to obtain an electric meter differential sequence; According to a preset current threshold, the meter box differential sequence is subjected to three-valued logic processing to obtain a first three-valued sequence for characterizing the meter box current event distribution, and the electric meter differential sequence is subjected to three-valued logic processing to obtain a second three-valued sequence for characterizing the electric meter current event distribution; According to the first three-value sequence and the second three-value sequence, the current correlation between each of the inlet phase signals and each of the electric meter phase signals is obtained; Among them, the table box difference sequence d y (t) = i y (t)-i y (t-1), i y (t) represents the meter box current sequence; the meter differential sequence d x (t) = i x (t)-i x (t-1), i x (t) represents the meter current sequence; The first three-value sequence Second ternary sequence δ represents the preset current threshold; Current correlation 6. The method for identifying phase of an electric meter according to claim 1, characterized in that: The step of obtaining a discrimination coefficient between each of the inlet phase signals and each of the electric meter phase signals according to the difference index and the correlation index, and identifying a phase connection relationship between the meter box and the electric meter according to the discrimination coefficient comprises: Using the ratio of the difference index to the correlation index as a discrimination coefficient between each of the inlet phase signals and each of the meter phase signals; Determining a target discrimination coefficient from the discrimination coefficients corresponding to the phase signal of the electric meter; Identifying a connection relationship between the meter box and the electric meter according to the target discrimination coefficient; Among them, the discriminant coefficient p xy =D xy / (r xy +C xy );D xy represents the difference index; r xy Indicates voltage correlation, C xy represents the current correlation, r xy +C xy Represents the correlation index.

7. The method for identifying phases of an electric meter according to any one of claims 1 to 6, characterized in that: The step of determining a target discrimination coefficient from the discrimination coefficient corresponding to the phase signal of the electric meter includes: A discrimination coefficient greater than zero is determined from the discrimination coefficients corresponding to the phase signal of the electric meter, and a minimum value among the discrimination coefficients greater than zero is selected as a target discrimination coefficient.

8. The method for identifying phases of an electric meter according to any one of claims 1 to 7, characterized in that: When the electric meter is a single-phase electric meter, the electric meter phase signal is an A-phase signal; When the electric meter is a three-phase electric meter, the electric meter phase signal includes an A-phase signal, a B-phase signal and a C-phase signal.

9. The method for identifying phases of an electric meter according to any one of claims 1 to 7, characterized in that: Also includes: Acquire first phase information of each of the input phase signals; Acquire second phase information of each phase of the three-phase electricity output by the transformer connected to the meter box inlet; Obtaining a phase connection relationship between the transformer and the meter box according to the first phase information and the second phase information; The phase connection relationship between the electric meter and the transformer is obtained according to the connection relationship of each phase between the transformer and the meter box and the phase connection relationship between the meter box and the electric meter.

10. An electric meter phase identification system, characterized in that: include: A meter box sampling module is used to sample each inlet phase signal of the three-phase electricity at the meter box inlet to obtain a meter box current sequence and a meter box voltage sequence of each of the inlet phase signals; An electric meter sampling module, used for obtaining an electric meter current sequence and an electric meter voltage sequence of an electric meter phase signal in the three-phase electricity flowing through the electric meter in the meter box; A difference calculation module, used for obtaining a difference index between each of the inlet phase signals and each of the meter phase signals according to the meter box voltage sequence and the meter voltage sequence; A correlation calculation module, used for obtaining a correlation index between each of the inlet phase signals and each of the meter phase signals according to the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence; The phase identification module is used to obtain a discrimination coefficient between each of the inlet phase signals and each of the electric meter phase signals according to the difference index and the correlation index, and to identify the phase connection relationship between the meter box and the electric meter according to the discrimination coefficient.

11. A storage medium, characterized in that: The storage medium stores a computer program, and the computer program is loaded by a processor to execute the steps in the electric meter phase identification method according to any one of claims 1 to 9.

12. A collection and analysis device, characterized in that: Including power supply, acquisition device, memory and processor; The power supply is connected to the acquisition device, the memory and the processor, and is used to supply power to the acquisition device, the memory and the processor; The acquisition device is used to acquire the meter box current sequence, the meter box voltage sequence, the meter current sequence and the meter voltage sequence; The memory stores a computer program; The processor is used to run the computer program in the memory to execute the steps in the electric meter phase identification method according to any one of claims 1 to 9.

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