Phase identification methods, systems, and electricity consumption information acquisition devices for electricity meters

Abstract

This invention provides a phase identification method, system, and electricity consumption information acquisition device for electricity meters, comprising: acquiring a preset amount of electricity data in the current distribution area; setting up an electricity metering device and at least one electricity meter in the current distribution area; generating an electricity consumption matrix equation corresponding to the current distribution area based on the electricity data and a preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and electricity consumption in the current distribution area; and determining the phase information corresponding to each electricity meter based on a preset calculation method and the electricity consumption matrix equation. In this method, by constructing an electricity consumption matrix equation based on existing electricity data and solving the electricity consumption matrix equation using Gaussian elimination, the phase of the electricity meter can be acquired in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of phase information acquisition.

Description

Technical Field

[0001] This invention relates to the field of power technology, and in particular to a phase identification method, system, and electricity consumption information acquisition device for an electricity meter. Background Technology

[0002] Currently in the power system, the data of smart meters for residential electricity monitoring is generally controlled and sent from the main station to the concentrator, which then periodically reads the meter readings and calculates the residential electricity consumption.

[0003] To accurately obtain single-phase meter phase information within a distribution area, a common method is to replace the routing module with a new one for phase detection. The routine electricity meter reading process involves copying the phase information from nodes (meters, data collectors) and storing it in the routing module. Then, the concentrator reads the node (meter, data collector) phase information stored in the routing module and stores the read node phase information in the concentrator itself. Replacing the routing module with a new one adds phase detection functionality to the distribution area's electricity meters. However, this hardware addition method is insufficient for existing low-voltage power distribution areas. Furthermore, this method requires the concentrator, routing module, and electricity meters within the distribution area to all support it; that is, the electricity meters and concentrator need to add adapter modules to accommodate the new routing module, resulting in excessive costs. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a phase identification method, system and electricity consumption information acquisition device for electricity meters, which can obtain the phase of electricity meters in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of phase information acquisition.

[0005] In a first aspect, embodiments of the present invention provide a phase identification method for an electricity meter, comprising: acquiring a preset amount of electricity data in a current distribution area; setting an electricity metering device and at least one electricity meter in the current distribution area; generating an electricity consumption matrix equation corresponding to the current distribution area based on the electricity data and a preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and the electricity consumption in the current distribution area; and determining the phase information corresponding to each electricity meter based on a preset calculation method and the electricity consumption matrix equation.

[0006] Furthermore, a concentrator is also installed in the current distribution area; the concentrator is communicatively connected to the energy metering equipment and the energy meter; the steps for obtaining a preset amount of energy data in the current distribution area include: S1: If a phase information acquisition signal sent by the master station is received, the real-time metering equipment data and real-time energy meter data collected by the concentrator are obtained; wherein, the real-time metering equipment data includes the real-time metering equipment energy and the real-time phase energy corresponding to the energy metering equipment; the real-time energy meter data includes the real-time energy meter energy corresponding to each energy meter; S2: Based on the real-time metering equipment energy, the real-time phase energy, the real-time energy meter energy, and the preset power consumption calculation rules, the metering equipment error corresponding to the energy metering equipment and the energy meter data for each energy meter are determined respectively. S3: Determine whether the metering equipment error and each real-time electricity consumption meet the preset data rules; the preset data rules are used to indicate the applicability of the metering equipment error and the real-time electricity consumption; S4: If the metering equipment error and each real-time electricity consumption meet the preset data rules, determine the real-time metering equipment data and the real-time electricity meter data as electricity data, and save the real-time metering equipment data and the real-time electricity meter data to the corresponding electricity data set; the electricity data set stores at least one piece of electricity data; S5: At preset step intervals, obtain the next metering equipment data and the next electricity meter data collected by the concentrator, and repeat steps S2-S4 until the number of electricity data in the electricity data set is the preset number.

[0007] Furthermore, the preset data rules include: the metering equipment error is less than or equal to the preset error value; the real-time power consumption is positive; the real-time power consumption is less than 1.2 times the preset theoretical maximum power consumption; and the real-time power consumption is not zero.

[0008] Furthermore, the preset number is greater than or equal to the number of electricity meters.

[0009] Furthermore, the step of generating the electricity consumption matrix equation corresponding to the current transformer area based on the power data and the preset power supply relationship model includes: establishing a preset number of electricity consumption equations based on the power data set and the preset power supply relationship model; establishing the corresponding phase electricity consumption equation in the current transformer area based on each electricity consumption equation and the preset power supply relationship model, and determining each phase electricity consumption equation as the electricity consumption matrix equation.

[0010] Furthermore, after determining the phase information corresponding to each electricity meter in the current distribution area, the method also includes: sending the phase information corresponding to each electricity meter to the master station, so that the master station saves the phase information corresponding to the device ID of the electricity meter.

[0011] Secondly, embodiments of the present invention provide a phase identification system for an electricity meter, comprising: an electricity data acquisition module for acquiring a preset amount of electricity data in the current distribution area; an electricity metering device and at least one electricity meter are provided in the current distribution area; an electricity consumption matrix equation generation module for generating an electricity consumption matrix equation corresponding to the current distribution area based on the electricity data and a preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and the electricity consumption in the current distribution area; and a phase information determination module for determining the phase information corresponding to each electricity meter based on a preset calculation method and the electricity consumption matrix equation.

[0012] Thirdly, embodiments of the present invention provide an electricity information collection device, comprising: a concentrator and a master station respectively connected to the concentrator, an electricity metering device, at least one electricity meter and a host computer; further comprising a phase identification system for the aforementioned electricity meter, wherein the phase identification system is disposed inside the host computer; the master station and the host computer are connected in communication.

[0013] Fourthly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory stores a computer program that can run on the processor, and the processor executes the computer program to implement the method described above.

[0014] Fifthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, the program code causing the processor to perform the method described above.

[0015] This invention provides a phase identification method, system, and electricity consumption information acquisition device for electricity meters, including: acquiring a preset amount of electricity data in the current distribution area; setting up an electricity metering device and at least one electricity meter in the current distribution area; generating an electricity consumption matrix equation corresponding to the current distribution area based on the electricity data and a preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and electricity consumption in the current distribution area; and determining the phase information corresponding to each electricity meter based on a preset calculation method and the electricity consumption matrix equation. In this method, by constructing an electricity consumption matrix equation based on existing electricity data and solving the electricity consumption matrix equation using Gaussian elimination, the phase of the electricity meter can be acquired in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of phase information acquisition.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a flowchart of the phase identification method for an energy meter provided in Embodiment 1 of the present invention;

[0020] Figure 2 This is a flowchart of the steps for obtaining a preset amount of electrical energy data in the current transformer area, as provided in Embodiment 1 of the present invention.

[0021] Figure 3 This is a general power supply relationship diagram of a transformer substation provided in Embodiment 1 of the present invention;

[0022] Figure 4 This is a schematic diagram showing the comparison between the actual total venting flow and the virtual total venting flow of the dual valves provided in Embodiment 1 of the present invention.

[0023] Figure 5 This is a schematic diagram of the phase identification system of the energy meter provided in Embodiment 2 of the present invention;

[0024] Figure 6 This is a schematic diagram of the electricity information collection device provided in Embodiment 3 of the present invention.

[0025] Icons: 1-Electricity data acquisition module; 2-Electricity matrix equation generation module; 3-Phase information determination module; 4-Concentrator; 5-Master station; 6-Electricity metering equipment; 7-Electricity meter; 8-Host computer; 9-Phase identification system. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] To facilitate understanding of this embodiment, the embodiments of the present invention will be described in detail below.

[0028] Example 1:

[0029] Figure 1 This is a flowchart of the phase identification method for an electricity meter provided in Embodiment 1 of the present invention.

[0030] Reference Figure 1 Phase identification methods for electricity meters include:

[0031] Step S101: Obtain a preset amount of electricity data in the current distribution area; the current distribution area is equipped with an electricity metering device and at least one electricity meter.

[0032] Here, the current distribution area can be a low-voltage distribution area. When it is necessary to monitor the residential electricity consumption within a distribution area, the master station needs to send control commands to the concentrator. The concentrator then reads the electricity meters in the current distribution area according to a preset time interval (usually set to 24 hours). Each distribution area includes one electricity metering device and at least one electricity meter, which are communicatively connected. The concentrator is communicatively connected to the master station, the electricity metering device, and the electricity meters. The electricity metering device can be a three-phase electricity meter or a measuring switch, etc. The electricity meter connected to the electricity metering device is a single-phase electricity meter.

[0033] When electricity meters are replaced or undergo maintenance, the phase information of each meter in the current distribution area changes, requiring the reacquisition of the phase information for each meter. In this case, the master station sends a phase information acquisition signal to the concentrator and the host computer. The host computer communicates with the master station and is used to calculate the phase information of each meter based on the electricity data collected by the concentrator.

[0034] In one embodiment, reference is made to Figure 2 Step S101 includes:

[0035] Step S1: If the phase information acquisition signal sent by the master station is received, the real-time metering equipment data and real-time electricity meter data collected by the concentrator are obtained; wherein, the real-time metering equipment data includes the real-time metering equipment energy and the real-time phase energy corresponding to the electricity metering equipment; the real-time electricity meter data includes the real-time electricity meter energy corresponding to each electricity meter.

[0036] Here, the phase information acquisition signal includes the information acquisition trigger signal and the device ID of each energy meter in the current distribution area. Based on the information acquisition trigger signal and the device ID, the concentrator acquires real-time metering device data and real-time meter data.

[0037] Among them, real-time metering equipment data and real-time electricity meter data can be daily frozen parameters or two-day frozen parameters, and the specific collection cycle can be determined according to the actual situation.

[0038] The real-time energy metering device refers to the current total active energy E of the energy metering device. The types of real-time energy for each phase depend on the type of energy metering device. If the energy metering device is a three-phase energy meter, the real-time energy for each phase includes the active energy E of phase A. a Phase B active energy E b And the active power E of phase C c .

[0039] Real-time meter readings represent the current active energy (E) corresponding to each meter. n , where n is the device ID corresponding to each electricity meter.

[0040] Step S2: Based on the real-time metering equipment's electrical energy, the electrical energy of each phase of the real-time metering equipment, the real-time electricity meter's electrical energy, and the preset electricity consumption calculation rules, determine the metering equipment error corresponding to the electrical energy metering equipment and the real-time electricity consumption corresponding to each electricity meter.

[0041] Here, the preset electricity consumption calculation rules include metering equipment errors. The current total active energy E of the metering equipment and the active energy E of phase A are given. a Phase B active energy E b And the active power E of phase C c The difference between the sums; real-time electricity consumption The active power E detected in two consecutive tests n The difference between them.

[0042] Step S3: Determine whether the metering equipment error and each real-time power consumption meet the preset data rules; the preset data rules are used to indicate the applicability of the metering equipment error and real-time power consumption.

[0043] Here, the preset data rules can be set in advance according to the actual situation, and may include: the metering equipment error is less than or equal to the preset error value; the real-time power consumption is positive; the real-time power consumption is less than 1.2 times the preset theoretical maximum power consumption; and the real-time power consumption is not 0.

[0044] Specifically, the preset error value can be set according to the actual situation, and can be set to 0.02 kWh, which meets the requirements of the metering equipment error. At that time, the data from the metering equipment is available.

[0045] Real-time power consumption and if Sure A power meter with a value of 0 is in a disabled state.

[0046] The preset theoretical power consumption can be calculated based on the rated power and maximum usage time of the user's electrical equipment. Assuming a user's maximum load power is 220kW and they operate continuously for 24 hours a day, the theoretical maximum daily power consumption is: 0.020 × 100 × 24 = 528kWh. Therefore, if the real-time power consumption is less than 1.2 times the preset theoretical maximum power consumption, it is expressed as... if It has been determined that the current electricity meter is experiencing a faulty reading.

[0047] Step S4: If the metering equipment error and each real-time electricity consumption meet the preset data rules, determine the real-time metering equipment data and real-time electricity meter data as electricity data, and save the real-time metering equipment data and real-time electricity meter data to the corresponding electricity data set; the electricity data set stores at least one electricity data.

[0048] Step S5: At preset intervals, acquire the data of the next metering device and the next electricity meter collected by the concentrator. Repeat steps S2-S4 until the number of electricity data in the electricity data set is the preset number.

[0049] Here, the preset step size can be set according to the actual situation, and can be set to 24 hours.

[0050] The preset number is greater than or equal to the number of electricity meters. The electricity data of the number of electricity meters is used to construct the electricity consumption matrix equation, and the electricity data of the number of extra electricity meters is used to verify the calculated phase information.

[0051] Step S102: Based on the power data and the preset power supply relationship model, generate the power consumption matrix equation corresponding to the current transformer area; the power supply relationship model is used to indicate the correspondence between the power supply and power consumption of the current transformer area.

[0052] Here, refer to Figure 3 The power supply relationship diagram of the general transformer area shown is based on the following formula (1):

[0053]

[0054] Where y(i) is the power supply. Ψ is the sum of the metering errors of the electricity meter. j (i) represents the total metering error and line loss for each electricity meter, where i is the number of electricity meters, j is the sum of the number of electricity metering devices and electricity meters, j = i + 1, and ξ is the electricity error for each electricity meter.

[0055] In one embodiment, reference is made to Figure 4 Step S102 includes:

[0056] Step S401: Based on the power data set and the preset power supply relationship model, establish a preset number of power consumption equations.

[0057] Based on formula (1), it can be seen that the electricity consumption in the transformer area will remain balanced: power supply = total electricity consumption + total metering error of electricity meter + line loss. The electricity consumption equation is established as shown in the following formula (2):

[0058]

[0059] Where, ψ j (i) represents the data collected by the j-th electricity meter on the ith day, ε j Let ε be the actual operating error of the electricity meter for the j-th user. p+1 ε0 represents the line loss of the transformer area, and ε0 represents other fixed losses.

[0060] Assume the error of each electricity meter is e. i Then, according to formula (2), we can obtain the following formula (3):

[0061] (1+e 1i )ΔE 1i +S 1i +(1+e 2i )ΔE 2i +S 2i +…+(1+e ni )ΔE ni +S ni = (1+e) i )ΔE i

[0062] (1+e 1i )ΔE 1i +(1+e 2i )ΔE 2i +…+(1+e ni )ΔE ni +S 1i +S 2i +…S ni = (1+e) i )ΔE i

[0063] (ΔE 1i +ΔE 2i +…+ΔE ni )+(e 1i ·ΔE 1i +e 2i ·ΔE ni +…+e ni ·ΔE ni )+(S 1i ++S 2i +…Sni )=(1+e i )ΔE i

[0064] (e 1i ·ΔE 1i +e 2i ·ΔE ni +…+e ni ·ΔE ni -e i ΔE i )+(S 1i ++S 2i +…S ni )=ΔE i -(ΔE 1i +ΔE 2i +…+ΔE ni (3)

[0065] Where: e 1i e 2i ...e ni : The calculation error of each meter on day i; S 1i S 2i ...S ji ...S ni S: Line loss of each segment on day i; ji : Antenna loss of the i-th antenna in the j-th branch; e i Total error, ΔE i ΔE: Total electricity consumption on day i, as measured by the master meter; 1i ΔE 2i 、…ΔE ji …ΔE ni ΔE represents the electricity consumption on day i measured by each meter. ki : The electricity consumption measured by the k-th meter on day i.

[0066] The simplified formula (3) and the matrix equation module are shown in the following formula (4):

[0067]

[0068] Step S402: Based on each power consumption equation and the preset power supply relationship model, establish the corresponding phase power consumption equation in the current transformer area, and determine each phase power consumption equation as a power consumption matrix equation.

[0069] In this embodiment, the line loss of the transformer area, the error of the electricity meter and other fixed losses are set to 0, and the phase-by-phase power consumption equation is established as shown in the following formula (5):

[0070]

[0071] The electricity consumption equation matrix is ​​constructed according to formula (5) as shown in formula (6):

[0072]

[0073] Step S103: Based on the preset calculation method and electricity consumption matrix equation, determine the phase information corresponding to each electricity meter.

[0074] Here, the default calculation method is Gaussian elimination.

[0075] Specifically, E 1n E 2n …E nn ...E an E 2n …E nn Substituting into formula (6), the solution to the power consumption matrix equation is x. 11 x 21 …x n1 y 11 y 21 …y n1 , z 11 z 21 …z n1 Based on the actual conditions of the low-voltage distribution area, the solutions to the above equations are as follows: x 11 x 21 …x n1 y 11 y 21 …y n1 and z 11 z 21 …z n1 The expression is either equal to 1 or equal to 0. The matrix equation is solved using Gaussian elimination, x... 11 x 21 …x n1 y 11 y 21 …y n1 and z 11 z 21 …z n1 It may tend towards a certain value X. After solving the matrix equation system, the equations corresponding to each phase, and each unknown corresponding to the device ID of the energy meter, can be used to determine the phase distribution of each energy meter in the low-voltage distribution area, that is, which phase each energy meter is installed on.

[0076] In one embodiment, for a low-voltage distribution area, the master station sends the current electricity meter records and phase information acquisition signals of the current distribution area to the concentrator and the host computer, respectively.

[0077] The data obtained from the concentrator is shown in Table 1 below.

[0078] Table 1. Electricity Consumption of Unit 1, Area 1, for 11 Consecutive Days

[0079]

[0080] Wherein, ID1-ID9 are the device IDs of the nine energy meters in Unit 1 of the current distribution area, each device ID corresponding to an initial energy consumption and 11 days of measured energy consumption. D1 is the device ID of the energy metering equipment corresponding to these nine energy meters, corresponding to an initial energy consumption and 11 days of measured energy consumption. Da corresponds to the energy consumption of phase A of the energy metering equipment, Db corresponds to the energy consumption of phase B of the energy metering equipment, and Dc corresponds to the energy consumption of phase C of the energy metering equipment. Each measured energy consumption is the daily frozen total positive active energy.

[0081] The host computer acquires the data from the concentrator based on the phase information acquisition signal and generates the following Table 2.

[0082] Table 2 Current Electricity Data for the Distribution Area

[0083]

[0084] Based on the power supply relationship model established and preset in Table 2 above, the power consumption matrix equation corresponding to the current transformer area is generated as shown in the following formula (7):

[0085]

[0086] Based on the Gaussian elimination method, formula (7) is calculated as shown in the following formula (8):

[0087]

[0088] According to formula (8), the device IDs of the energy meters on phase A are: ID1, ID3, ID6; the device IDs of the energy meters on phase B are: ID4, ID8, ID9; and the device IDs of the energy meters on phase C are: ID2, ID5, ID7.

[0089] In one embodiment, after step S103, which determines the phase information corresponding to each energy meter in the current distribution area, the method further includes:

[0090] The phase information corresponding to each electricity meter is sent to the master station so that the master station can save the phase information and the corresponding device ID of the electricity meter.

[0091] This invention provides a phase identification method for electricity meters, comprising: acquiring a preset amount of electricity data in a current distribution area; setting up an electricity metering device and at least one electricity meter in the current distribution area; generating an electricity consumption matrix equation corresponding to the current distribution area based on the electricity data and a preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and electricity consumption in the current distribution area; and determining the phase information corresponding to each electricity meter based on a preset calculation method and the electricity consumption matrix equation. In this method, by constructing an electricity consumption matrix equation based on existing electricity data and solving the electricity consumption matrix equation using Gaussian elimination, the phase of the electricity meter can be obtained in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of phase information acquisition.

[0092] Example 2:

[0093] Figure 5 This is a schematic diagram of the phase identification system of the energy meter provided in Embodiment 2 of the present invention.

[0094] Reference Figure 5 The phase identification system of the electricity meter includes:

[0095] The power data acquisition module 1 is used to acquire a preset amount of power data in the current transformer area; the current transformer area is equipped with a power metering device and at least one power meter.

[0096] The electricity consumption matrix equation generation module 2 is used to generate the electricity consumption matrix equation corresponding to the current transformer area based on the power data and the preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and power consumption of the current transformer area.

[0097] Phase information determination module 3 is used to determine the phase information corresponding to each energy meter based on a preset calculation method and the electricity consumption matrix equation.

[0098] Furthermore, the power data acquisition module 1 is also used for:

[0099] S1: If a phase information acquisition signal is received from the main station, the real-time metering device data and real-time electricity meter data collected by the concentrator are obtained; wherein, the real-time metering device data includes the real-time metering device energy corresponding to the electricity metering device and the phase energy of the real-time metering device; the real-time electricity meter data includes the real-time electricity meter energy corresponding to each electricity meter.

[0100] S2: Based on the real-time metering equipment's electrical energy, the electrical energy of each phase of the real-time metering equipment, the real-time electricity meter's electrical energy, and the preset electricity consumption calculation rules, determine the metering equipment error corresponding to the electrical energy metering equipment and the real-time electricity consumption corresponding to each electricity meter;

[0101] S3: Determine whether the metering equipment error and each real-time power consumption meet the preset data rules; the preset data rules are used to indicate the applicability of the metering equipment error and real-time power consumption.

[0102] S4: If the metering equipment error and each real-time electricity consumption meet the preset data rules, determine the real-time metering equipment data and real-time electricity meter data as electricity data, and save the real-time metering equipment data and real-time electricity meter data to the corresponding electricity data set; the electricity data set stores at least one electricity data;

[0103] S5: At preset intervals, acquire the next metering device data and the next meter data collected by the concentrator, and repeat steps S2-S4 until the number of electrical data in the electrical data set is the preset number.

[0104] Furthermore, the electric matrix equation generation module 2 is also used for:

[0105] Based on the power data set and the preset power supply relationship model, a preset number of power consumption equations are established;

[0106] Based on each electricity consumption equation and the preset power supply relationship model, establish the corresponding phase electricity consumption equation in the current transformer area, and determine each phase electricity consumption equation as an electricity consumption matrix equation.

[0107] Furthermore, the phase information determination module 3 is also used for:

[0108] The phase information corresponding to each electricity meter is sent to the master station so that the master station can save the phase information and the corresponding device ID of the electricity meter.

[0109] This invention provides a phase identification system for electricity meters. By constructing an electricity consumption matrix equation based on existing electricity data and solving the electricity consumption matrix equation using Gaussian elimination, the system can obtain the phase of the electricity meter in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of obtaining phase information.

[0110] Example 3:

[0111] Figure 6 This is a schematic diagram of the electricity information collection device provided in Embodiment 3 of the present invention.

[0112] Reference Figure 6 The electricity information collection device includes: a concentrator 4 and a master station 5 that is communicatively connected to the concentrator 4, an electricity metering device 6, at least one electricity meter 7, and a host computer 8; it also includes a phase identification system 9 for the aforementioned electricity meter, the phase identification system 9 being installed inside the host computer 8; the master station 5 and the host computer 8 are communicatively connected.

[0113] Among them, the main station 5 and the concentrator 4 can communicate and connect via mobile networks such as 4G.

[0114] This invention provides an electricity information acquisition device that can acquire the phase of the electricity meter in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of phase information acquisition.

[0115] This invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the electricity information collection method provided in the above embodiments.

[0116] This invention also provides a computer-readable storage medium storing a computer program. The computer program, when run by a processor, executes the steps of the electricity information collection method described above.

[0117] The computer program product provided in this embodiment of the invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0118] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0119] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0120] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0121] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0122] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A phase identification method of an electric energy meter, characterized by, include: Obtain the preset amount of power data in the current transformer area; The current transformer area is equipped with one power metering device and at least one power meter; Based on the power data and the preset power supply relationship model, the power consumption matrix equation corresponding to the current transformer area is generated. The power supply relationship model is used to indicate the correspondence between the current power supply and power consumption of the transformer area; Based on the preset calculation method and the electricity consumption matrix equation, the phase information corresponding to each electricity meter is determined; The current transformer area is also equipped with a concentrator; The concentrator is communicatively connected to both the power metering device and the power meter. The step of obtaining a preset amount of power data in the current transformer area includes: S1: If a phase information acquisition signal is received from the main station, the real-time metering device data and real-time electricity meter data collected by the concentrator are obtained; wherein, the real-time metering device data includes the real-time metering device energy and the real-time phase energy corresponding to the electricity metering device; the real-time electricity meter data includes the real-time meter energy corresponding to each electricity meter. S2: Based on the real-time metering device's electrical energy, the real-time electrical energy of each phase, the real-time electricity meter's electrical energy, and the preset electricity consumption calculation rules, determine the metering device error corresponding to the electrical energy metering device and the real-time electricity consumption corresponding to each electricity meter; S3: Determine whether the metering device error and each of the real-time power consumptions meet the preset data rules; the preset data rules are used to indicate the applicability of the metering device error and the real-time power consumptions. S4: If the metering device error and each of the real-time electricity consumptions meet the preset data rules, determine the real-time metering device data and the real-time electricity meter data as the electricity data, and save the real-time metering device data and the real-time electricity meter data to the corresponding electricity data set; the electricity data set stores at least one piece of electricity data; S5: At preset intervals, acquire the next metering device data and the next electricity meter data collected by the concentrator, and repeat steps S2-S4 until the number of electricity data in the electricity data set is the preset number.

2. The phase identification method for an electricity meter according to claim 1, characterized in that, The preset data rules include: the metering device error is less than or equal to a preset error value; the real-time power consumption is positive; the real-time power consumption is less than 1.2 times the preset theoretical maximum power consumption; and the real-time power consumption is not zero.

3. The phase identification method for an electricity meter according to claim 1, characterized in that, The preset quantity is greater than or equal to the number of electricity meters.

4. The phase identification method for an electricity meter according to claim 1, characterized in that, The step of generating the electricity consumption matrix equation corresponding to the current transformer area based on the electricity data and the preset power supply relationship model includes: Based on the aforementioned power data set and the preset power supply relationship model, a preset number of power consumption equations are established. Based on each of the power consumption equations and the preset power supply relationship model, establish the corresponding phase power consumption equation for each transformer area in the current area, and determine each phase power consumption equation as the power consumption matrix equation.

5. The phase identification method for an electricity meter according to claim 1, characterized in that, After determining the phase information corresponding to each energy meter within the current distribution area, the method further includes: The phase information corresponding to each of the energy meters is sent to the master station, so that the master station saves the phase information in correspondence with the device ID corresponding to the energy meter.

6. A phase identification system for an electricity meter, characterized in that, A phase identification method applied to an energy meter as described in any one of claims 1-5; the system comprises: The power data acquisition module is used to acquire a preset amount of power data in the current transformer area; the current transformer area is equipped with a power metering device and at least one power meter. The electricity consumption matrix equation generation module is used to generate the electricity consumption matrix equation corresponding to the current transformer area based on the electricity data and the preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and the power consumption of the current transformer area. The phase information determination module is used to determine the phase information corresponding to each of the energy meters based on a preset calculation method and the electricity consumption matrix equation.

7. An electricity consumption information collection device, characterized in that, include: The concentrator and a master station, an energy metering device, at least one energy meter, and a host computer, all of which are communicatively connected to the concentrator; it also includes the phase identification system of the energy meter as described in claim 6, wherein the phase identification system is disposed inside the host computer; the master station and the host computer are communicatively connected.

8. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program that can run on the processor, characterized in that the processor executes the computer program to implement the phase identification method of the electricity meter according to any one of claims 1-5.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the phase identification method for an energy meter as described in any one of claims 1-5.

Images