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CN115420988B - Method, device, equipment and storage medium for identifying abnormal electricity consumption user - Google Patents

Method, device, equipment and storage medium for identifying abnormal electricity consumption user Download PDF

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CN115420988B
CN115420988B CN202211381263.2A CN202211381263A CN115420988B CN 115420988 B CN115420988 B CN 115420988B CN 202211381263 A CN202211381263 A CN 202211381263A CN 115420988 B CN115420988 B CN 115420988B
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branch
impedance
abnormal electricity
sampling point
user
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CN115420988A (en
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赵翼旺
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Beijing Zhixiang Technology Co Ltd
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract

The invention provides a method, a device, equipment and a storage medium for identifying abnormal electricity users, belonging to the technical field of power monitoring, wherein the method comprises the following steps: acquiring branch voltage and branch current of a plurality of sampling points within a preset time range for any branch in a transformer area; acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter includes at least one of: voltage, current, impedance; and determining whether an abnormal electricity user exists or not and determining the position of the abnormal electricity user based on the change condition of the target parameter of the branch. The abnormal electricity utilization user is identified more accurately in the scheme, and the efficiency is higher.

Description

Method, device, equipment and storage medium for identifying abnormal electricity consumption user
Technical Field
The invention relates to the technical field of power monitoring, in particular to a method, a device, equipment and a storage medium for identifying abnormal power utilization users.
Background
The abnormal electricity utilization behaviors of the user comprise abnormal user voltage caused by power grid operation faults and abnormal behaviors such as electricity stealing of the user, and the abnormal faults have obvious voltage and current abnormal characteristics. And for the electricity stealing behavior of users, the forms are various, the electricity stealing means are upgraded day by day, low-voltage users and large users are driven by benefits to go to risk, and the electricity stealing behavior is forbidden frequently, so that not only is the power company suffered from loss, but also the safe operation of a power grid is damaged.
In the related technology, the average power consumption difference of the user in a plurality of periods before and after the power failure time period of the metering box is calculated, and the difference is compared with a preset threshold value to judge whether the metering box has a power stealing event.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for identifying abnormal electricity users, which are used for solving the defect of low accuracy in the prior art and realizing the method for identifying the abnormal electricity users with high accuracy.
The invention provides a method for identifying an abnormal electricity user, which comprises the following steps:
the method comprises the steps that for any branch in a transformer area, branch voltage and branch current of a plurality of sampling points in a preset time range are obtained;
acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter includes at least one of: voltage, current, impedance;
and determining whether an abnormal electricity user exists or not based on the change condition of the target parameter of the branch, and determining the position of the abnormal electricity user.
According to the identification method of the abnormal electricity consumption user provided by the invention, if the target parameter comprises impedance, whether the abnormal electricity consumption user exists or not is determined based on the change condition of the target parameter of the branch circuit, and the method comprises the following steps:
determining whether the impedance of each sampling point of the branch circuit meets a preset condition or not based on the change condition of the target parameter of the branch circuit;
if the preset conditions are met, determining that the branch has abnormal electricity utilization users;
wherein the preset condition comprises at least one of the following:
the difference value of the impedances of at least two sampling points is larger than or equal to a first preset threshold value;
the difference value between the maximum value and the minimum value in the impedance of each sampling point is greater than or equal to a second preset threshold value;
and the average value of the difference value of the impedance of each sampling point and the average impedance is greater than or equal to a third preset threshold value.
According to the method for identifying the abnormal electricity consumption user, if the target parameters comprise voltage and current, the method for determining whether the abnormal electricity consumption user exists or not based on the change condition of the target parameters of the branch comprises the following steps:
determining whether the branch voltage and the branch current of each sampling point have positive correlation or not based on the change condition of the target parameter of the branch;
and if the branch circuit does not have positive correlation, determining that the branch circuit has the abnormal electricity utilization user.
According to the method for identifying the abnormal electricity user provided by the invention, whether the branch voltage and the branch current of each sampling point have positive correlation or not is determined based on the change condition of the target parameter of the branch, and the method comprises the following steps:
determining whether the branch voltage and the branch current of each sampling point have a direct proportional relation or not based on the change condition of the target parameter of the branch;
if the branch does not have positive correlation, determining that the branch has the abnormal electricity utilization user, including:
and if the branch circuit does not have the direct proportional relation, determining that the abnormal electricity utilization user exists in the branch circuit.
According to the identification method of the abnormal electricity utilization user provided by the invention, the position of the abnormal electricity utilization user is determined based on the change condition of the target parameter of the branch, and the method comprises the following steps:
for any user position in the branch, determining whether the impedance of each sampling point at the user position meets the preset condition or not based on the change condition of the target parameter at the user position;
and if the impedance of each sampling point at least one user position meets the preset condition, determining at least one user position as the position of the abnormal electricity user.
According to the identification method of the abnormal electricity consumption user, provided by the invention, the position of the abnormal electricity consumption user is determined based on the change condition of the target parameter of the branch, and the method comprises the following steps:
for any user position in the branch circuit, determining whether the branch circuit voltage and the branch circuit current of each sampling point at the user position have positive correlation or not based on the change condition of a target parameter at the user position;
and if the branch voltage and the branch current of each sampling point at least one user position do not have positive correlation, determining at least one user position as the position of the abnormal electricity user.
According to the method for identifying the abnormal electricity consumption user, provided by the invention, the change condition of the target parameter of the branch is obtained based on the branch voltage and the branch current of each sampling point, and the method comprises the following steps:
dividing the branch voltage of any sampling point by the branch current to obtain the impedance of the sampling point;
and obtaining an impedance curve for representing the impedance change condition based on the impedance of each sampling point.
According to the identification method of the abnormal electricity consumption user, provided by the invention, whether the impedance of each sampling point of the branch meets the preset condition is determined based on the change condition of the target parameter of the branch, and the method comprises the following steps:
and determining whether the impedance of each sampling point meets a preset condition or not based on the impedance curve.
The invention also provides a device for identifying the abnormal electricity utilization user, which comprises:
the acquisition module is used for acquiring branch voltage and branch current of a plurality of sampling points in a preset time range aiming at any branch in the transformer area;
acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter includes at least one of: voltage, current, impedance;
and the processing module is used for determining whether an abnormal electricity user exists or not and determining the position of the abnormal electricity user based on the change condition of the target parameter of the branch.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein when the processor executes the program, the method for identifying the abnormal electricity utilization user is realized.
The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of identifying an abnormal electricity consumer as any one of the above.
The invention also provides a computer program product, which comprises a computer program, and when the computer program is executed by a processor, the method for identifying the abnormal electricity utilization user is realized.
According to the method, the device, the equipment and the storage medium for identifying the abnormal electricity utilization user, the branch voltage and the branch current of a plurality of sampling points within a preset time range are obtained by aiming at any branch in the transformer area; acquiring the change condition of a target parameter of the branch circuit based on the branch circuit voltage and the branch circuit current of each sampling point; the target parameter comprises at least one of: voltage, current, impedance; and determining whether the abnormal electricity utilization users exist and the positions of the abnormal electricity utilization users based on the change conditions of the target parameters of the branches, wherein the voltage and current data are easy to obtain, and the change conditions of the voltage, the current, the impedance and the like follow a certain rule, and if the abnormal electricity utilization users do not exist, the rule is usually stable and unchangeable, so that the positions of the abnormal electricity utilization users and the abnormal electricity utilization users can be more accurately determined.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of an identification method for an abnormal electricity consumption user according to the present invention;
FIG. 2 is a schematic diagram of a topology of a distribution room provided by the present invention;
FIG. 3 is a schematic diagram of a branch circuit provided by the present invention;
FIG. 4 is one of the voltage curves of each node in the branch circuit provided by the present invention;
FIG. 5 is one of the schematic current curves for each node in the branch provided by the present invention;
FIG. 6 is one of the schematic impedance curves of node 75 in the branch circuit provided by the present invention;
FIG. 7 is a schematic diagram of a current curve of the working state of the branch circuit provided by the present invention;
FIG. 8 is a second schematic diagram illustrating the impedance curve of the node in the branch according to the present invention;
FIG. 9 is a third schematic diagram illustrating an impedance curve of a node in a branch according to the present invention;
fig. 10 is a schematic structural diagram of an identification device for an abnormal electricity consumption user according to the present invention;
fig. 11 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The following describes the technical solution of the embodiment of the present invention in detail with reference to the specific embodiments of fig. 1 to 5. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic flow chart of a method for identifying an abnormal electricity consumer according to an embodiment of the present invention. As shown in fig. 1, the method provided in this embodiment includes:
step 101, for any branch in a transformer area, obtaining branch voltage and branch current of a plurality of sampling points within a preset time range;
specifically, as shown in fig. 2, the following embodiments are described by taking the branch circuit (shown in fig. 3) as an example, where the branch circuit is the same branch of a certain area topology structure, for example, 65 nodes, 75 nodes, siemens house, and siemens public toilet in the circuit, and 36 is a transformer of the branch.
Generally, voltage and current are collected in a power grid, and for use in subsequent charging and the like, branch voltage and branch current of a plurality of sampling points can be obtained, wherein each sampling point is a plurality of sampling moments within a preset duration range.
102, acquiring the change condition of a target parameter of a branch circuit based on the branch circuit voltage and the branch circuit current of each sampling point; the target parameter includes at least one of: voltage, current, impedance;
specifically, based on the branch voltage and the branch current at each sampling point, that is, the branch voltage and the branch current at a plurality of sampling moments, the change condition of the target parameter of the branch, for example, the information such as the change trend and the change amplitude of the voltage, the current or the impedance at different moments, is obtained.
And 103, determining whether an abnormal electricity user exists or not based on the change condition of the target parameter of the branch, and determining the position of the abnormal electricity user.
Specifically, the abnormal electricity consumption user mainly refers to a user who steals electricity in the embodiment of the invention, the change condition of the target parameter is generally stable and stable under the condition that the abnormal electricity consumption user does not exist, and if the abnormal electricity consumption user exists, the target parameter is abnormal, so that whether the abnormal electricity consumption user exists or not and the position of the abnormal electricity consumption user can be determined based on the change condition of the target parameter of the branch circuit. For example, the analysis is performed based on the change condition of the target parameter of each electricity consumer in the branch, for example, the target parameter is impedance, and in a normal condition, the change of the impedance of the branch is very small and can be considered as approximately constant, and if a large change suddenly occurs, an abnormal electricity consumer may exist.
In the method of the embodiment, the branch voltage and the branch current of a plurality of sampling points within a preset time range are obtained by aiming at any branch in the transformer area; acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter includes at least one of: voltage, current, impedance; and determining whether the abnormal electricity user exists or not and the position of the abnormal electricity user based on the change condition of the target parameter of the branch circuit, wherein the voltage and current data are easy to obtain, and the change conditions of the voltage, the current, the impedance and the like follow a certain rule, and if the abnormal electricity user does not exist, the rule is stable and unchangeable generally, so that the abnormal electricity user and the position of the abnormal electricity user can be more accurately determined.
Optionally, by analyzing the main circuit current, the working interval is identified, i.e. the range of the sampling instant is determined.
For example, when analyzing the main current curve of the branch in fig. 5, it is found that after the sampling time 37, all nodes have smaller currents than before, and can be considered to be in the non-operating state, so that the time period in the operating state at the sampling time 0-36 is taken for analysis, as shown in the dotted line box in fig. 7.
Alternatively, step 103 can be implemented in several ways:
mode 1:
determining whether the impedance of each sampling point of the branch circuit meets a preset condition or not based on the change condition of the target parameter of the branch circuit;
if the preset conditions are met, determining that the branch has abnormal electricity utilization users;
wherein the preset condition comprises at least one of the following conditions:
the difference value of the impedances of at least two sampling points is greater than or equal to a first preset threshold value;
the difference value of the maximum value and the minimum value in the impedance of each sampling point is greater than or equal to a second preset threshold value;
and the average value of the difference value of the impedance of each sampling point and the average impedance is greater than or equal to a third preset threshold value.
Optionally, for any sampling point, dividing the branch voltage of the sampling point by the branch current to obtain the impedance of the sampling point;
obtaining an impedance curve for representing the impedance change condition based on the impedance of each sampling point;
optionally, based on the impedance curve, determining whether the impedance of each sampling point meets a preset condition.
In particular, fig. 4 shows a voltage curve at a plurality of sampling instants of different nodes in the branch, and fig. 5 shows a current curve at a plurality of sampling instants of different nodes in the branch, respectivelyFrom the voltage and current curves of fig. 4 and 5, the nodes under the branch can be obtained in the operating region
Figure 10238DEST_PATH_IMAGE001
The curve, for example, the impedance curve at node 75 in fig. 6.
Optionally, for any user position (such as a power utilization node) in the branch, determining whether the impedance of each sampling point at the user position meets the preset condition based on the change condition of the target parameter at the user position;
and if the impedance of each sampling point at least one user position meets the preset condition, determining at least one user position as the position of the abnormal electricity user.
(1) When each power utilization node does not have an abnormal power utilization user, the voltage drop of each power utilization node changes:
Figure 654846DEST_PATH_IMAGE002
then
Figure 376814DEST_PATH_IMAGE003
Should remain constant throughout;
namely that
Figure 143999DEST_PATH_IMAGE001
The curve change should be close to a horizontal line, as shown in the dashed box in fig. 8;
when an unrecognized abnormal electricity user exists under the node,
Figure 939917DEST_PATH_IMAGE001
the variation curve is shown in fig. 9.
Alternatively, whether the impedance meets the preset condition may be determined by determining whether a difference between the maximum value and the minimum value of the impedance of each sampling point is greater than or equal to a second preset threshold.
Specifically, if the difference between the maximum value and the minimum value in the impedance of each sampling point is greater than or equal to the second preset threshold, it indicates that the fluctuation of the impedance of each sampling point is large, and an abnormal electricity consumer may exist.
Alternatively, determining whether the average value of the difference between the impedance of each sampling point and the average impedance is greater than or equal to a third preset threshold may be implemented by the following formula:
Figure 21005DEST_PATH_IMAGE004
wherein,
Figure 964691DEST_PATH_IMAGE005
the number of the sampling points is,
Figure 523848DEST_PATH_IMAGE006
is a third preset threshold value, and is,
Figure 439851DEST_PATH_IMAGE007
is as followsiThe impedance of the individual sampling points is,
Figure 426262DEST_PATH_IMAGE008
is the average impedance of the branch.
When the temperature is higher than the set temperature
Figure 857243DEST_PATH_IMAGE009
And if so, judging that the abnormal electricity utilization user exists.
In the above embodiment, whether the impedance of each sampling point meets the preset condition can be determined, so that whether an abnormal power utilization user exists can be determined accurately, and the implementation complexity is low.
Mode 2:
determining whether the branch voltage and the branch current of each sampling point have positive correlation based on the change condition of the target parameter of the branch;
and if the branch does not have positive correlation, determining that the branch has the abnormal electricity utilization user.
Optionally, for any user position (such as a power utilization node) in the branch circuit, based on a change condition of a target parameter at the user position, determining whether a branch circuit voltage and a branch circuit current of each sampling point at the user position have a positive correlation;
and if the branch voltage and the branch current of each sampling point at least one user position do not have positive correlation, determining at least one user position as the position of the abnormal electricity user.
Specifically, the voltage drop change formula of each power consumption node under the branch is as follows:
Figure 157774DEST_PATH_IMAGE010
hence, the voltage drop at each point on the branch
Figure 990601DEST_PATH_IMAGE011
The change is mainly composed of
Figure 147913DEST_PATH_IMAGE012
Caused by, and impedance
Figure 269453DEST_PATH_IMAGE013
Mainly related to the length of the line, normally the impedance
Figure 170413DEST_PATH_IMAGE014
The variation is small and can be regarded as quantitative. Therefore, the voltage drop change of each node on the branch is mainly changed by the main circuit current before the node
Figure 857746DEST_PATH_IMAGE015
Caused by a pressure drop
Figure 185959DEST_PATH_IMAGE016
With main circuit current variation
Figure 529216DEST_PATH_IMAGE017
Is a positive correlation, i.e.:
Figure 233867DEST_PATH_IMAGE018
therefore, when the unmetered abnormal electricity user does not exist, the branch circuit voltage
Figure 41286DEST_PATH_IMAGE019
And branch current
Figure 540400DEST_PATH_IMAGE020
Should exhibit a strong positive correlation therebetween.
Thus, the branch voltage can be passed
Figure 370953DEST_PATH_IMAGE021
And branch current
Figure 613715DEST_PATH_IMAGE022
The correlation between the branch voltage and the voltage of the branch circuit determines whether an abnormal electricity user exists or not, namely when the abnormal electricity user does not exist
Figure 275641DEST_PATH_IMAGE023
And branch current
Figure 148919DEST_PATH_IMAGE024
Should exhibit a strong positive correlation therebetween; branch circuit voltage when unmetered abnormal electricity user exists
Figure 263506DEST_PATH_IMAGE025
And branch current
Figure 309959DEST_PATH_IMAGE024
Have poor positive correlation.
Optionally, determining whether the branch voltage and the branch current of each sampling point have a direct proportional relationship based on the change condition of the target parameter of the branch;
and if the branch circuit does not have the direct proportional relation, determining that the abnormal electricity utilization user exists in the branch circuit.
Specifically, the positive correlation may be, for example, a direct proportional relationship, which is a specific example of the positive correlation.
If the direct proportional relation exists, the abnormal electricity utilization user does not exist.
In the above embodiment, by determining whether the branch voltage and the branch current of each sampling point have positive correlation, whether an abnormal power consumption user exists can be accurately determined, and the implementation complexity is low.
The identification device for the abnormal electricity consumer according to the present invention is described below, and the identification device for the abnormal electricity consumer described below and the identification method for the abnormal electricity consumer described above may be referred to in correspondence with each other.
Fig. 10 is a schematic structural diagram of an apparatus for identifying an abnormal electricity consumer according to the present invention. As shown in fig. 10, the apparatus for identifying an abnormal electricity consumption user according to this embodiment includes:
the obtaining module 210 is configured to obtain, for any branch in the transformer area, branch voltages and branch currents of multiple sampling points within a preset duration range;
acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter comprises at least one of: voltage, current, impedance;
and the processing module 220 is configured to determine whether an abnormal electricity consumer exists or not and determine a location of the abnormal electricity consumer based on a change condition of the target parameter of the branch.
Optionally, the processing module 220 is specifically configured to:
if the target parameter comprises impedance, determining whether the impedance of each sampling point of the branch circuit meets a preset condition based on the change condition of the target parameter of the branch circuit;
if the preset condition is met, determining that the branch has abnormal electricity utilization users;
wherein the preset condition comprises at least one of the following:
the difference value of the impedances of at least two sampling points is greater than or equal to a first preset threshold value;
the difference value of the maximum value and the minimum value in the impedance of each sampling point is greater than or equal to a second preset threshold value;
and the average value of the difference value of the impedance of each sampling point and the average impedance is greater than or equal to a third preset threshold value.
Optionally, the processing module 220 is specifically configured to:
if the target parameters comprise voltage and current, determining whether the branch voltage and the branch current of each sampling point have positive correlation based on the change condition of the target parameters of the branches;
and if the branch does not have positive correlation, determining that the branch has the abnormal electricity utilization user.
Optionally, the processing module 220 is specifically configured to:
determining whether the branch voltage and the branch current of each sampling point have a direct proportional relation based on the change condition of the target parameter of the branch;
and if the branch circuit does not have the direct proportional relation, determining that the abnormal electricity utilization user exists in the branch circuit.
Optionally, the processing module 220 is specifically configured to:
aiming at any user position in the branch circuit, determining whether the impedance of each sampling point at the user position meets the preset condition or not based on the change condition of a target parameter at the user position;
and if the impedance of each sampling point at least one user position meets the preset condition, determining at least one user position as the position of the abnormal electricity user.
Optionally, the processing module 220 is specifically configured to:
for any user position in the branch circuit, determining whether the branch circuit voltage and the branch circuit current of each sampling point at the user position have positive correlation or not based on the change condition of a target parameter at the user position;
and if the branch voltage and the branch current of each sampling point at least one user position do not have positive correlation, determining at least one user position as the position of the abnormal electricity user.
Optionally, the obtaining module 210 is specifically configured to:
dividing the branch voltage of any sampling point by the branch current to obtain the impedance of the sampling point;
and obtaining an impedance curve for representing the impedance change condition based on the impedance of each sampling point.
Optionally, the processing module 220 is specifically configured to:
and determining whether the impedance of each sampling point meets a preset condition or not based on the impedance curve.
The apparatus of this embodiment may be configured to execute the method of any embodiment in the foregoing method embodiments, and the specific implementation process and technical effects thereof are the same as those in the method embodiments.
Fig. 11 illustrates a physical structure diagram of an electronic device, and as shown in fig. 11, the electronic device may include: a processor (processor) 810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform a method of identifying an abnormal electricity consumer, the method comprising: acquiring branch voltage and branch current of a plurality of sampling points within a preset time range for any branch in a transformer area;
acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter comprises at least one of: voltage, current, impedance;
and determining whether an abnormal electricity user exists or not based on the change condition of the target parameter of the branch circuit.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, where the computer program product includes a computer program, the computer program may be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, a computer can execute the method for identifying an abnormal electricity consumption user provided by the above methods, where the method includes: acquiring branch voltage and branch current of a plurality of sampling points within a preset time range for any branch in a transformer area;
acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter includes at least one of: voltage, current, impedance;
and determining whether an abnormal electricity user exists or not based on the change condition of the target parameter of the branch circuit.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the method for identifying an abnormal electricity consumer provided by the above methods, the method comprising: the method comprises the steps that for any branch in a transformer area, branch voltage and branch current of a plurality of sampling points in a preset time range are obtained;
acquiring the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point; the target parameter includes at least one of: voltage, current, impedance;
and determining whether an abnormal electricity user exists or not based on the change condition of the target parameter of the branch circuit.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A method for identifying abnormal electricity users is characterized by comprising the following steps:
the method comprises the steps that for any branch in a transformer area, branch voltage and branch current of a plurality of sampling points in a preset time range are obtained;
acquiring the change condition of a target parameter of the branch circuit based on the branch circuit voltage and the branch circuit current of each sampling point;
determining whether an abnormal electricity user exists or not and determining the position of the abnormal electricity user based on the change condition of the target parameter of the branch circuit;
if the target parameter includes impedance, determining whether an abnormal electricity user exists based on the change condition of the target parameter of the branch circuit, including:
determining whether the impedance of each sampling point of the branch circuit meets a preset condition or not based on the change condition of the target parameter of the branch circuit;
if the preset conditions are met, determining that the branch has abnormal electricity utilization users;
wherein the preset condition comprises at least one of the following:
the difference value of the impedances of at least two sampling points is larger than or equal to a first preset threshold value;
the difference value of the maximum value and the minimum value in the impedance of each sampling point is greater than or equal to a second preset threshold value;
and the average value of the difference value of the impedance of each sampling point and the average impedance is greater than or equal to a third preset threshold value.
2. The method for identifying the abnormal electricity consumption user according to claim 1, wherein the determining the position of the abnormal electricity consumption user based on the change condition of the target parameter of the branch comprises:
aiming at any user position in the branch circuit, determining whether the impedance of each sampling point at the user position meets the preset condition or not based on the change condition of a target parameter at the user position;
and if the impedance of each sampling point at least one user position meets the preset condition, determining the at least one user position as the position of the abnormal electricity user.
3. The method for identifying the abnormal electricity consumption user according to claim 1 or 2, wherein the step of obtaining the change condition of the target parameter of the branch based on the branch voltage and the branch current of each sampling point comprises the following steps:
dividing the branch voltage of any sampling point by the branch current to obtain the impedance of the sampling point;
and obtaining an impedance curve for representing the impedance change condition based on the impedance of each sampling point.
4. An apparatus for identifying an abnormal electricity user, comprising:
the acquisition module is used for acquiring branch voltage and branch current of a plurality of sampling points in a preset time range for any branch in the transformer area;
acquiring the change condition of a target parameter of the branch circuit based on the branch circuit voltage and the branch circuit current of each sampling point;
the processing module is used for determining whether an abnormal electricity user exists or not and determining the position of the abnormal electricity user based on the change condition of the target parameter of the branch circuit;
the processing module is specifically configured to:
if the target parameter comprises impedance, determining whether the impedance of each sampling point of the branch circuit meets a preset condition based on the change condition of the target parameter of the branch circuit;
if the preset conditions are met, determining that the branch has abnormal electricity utilization users;
wherein the preset condition comprises at least one of the following:
the difference value of the impedances of at least two sampling points is greater than or equal to a first preset threshold value;
the difference value between the maximum value and the minimum value in the impedance of each sampling point is greater than or equal to a second preset threshold value;
and the average value of the difference value of the impedance of each sampling point and the average impedance is greater than or equal to a third preset threshold value.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for identifying an abnormal electricity consumption user according to any one of claims 1 to 3.
6. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for identifying an abnormal electricity consumption user according to any one of claims 1 to 3.
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