CN113792264A - Method, device, equipment and medium for identifying abnormal power consumption user - Google Patents
Method, device, equipment and medium for identifying abnormal power consumption user Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a medium for identifying users with abnormal electricity consumption. Identifying an abnormal area with alternative power consumption according to the power consumption information of each area in the area; screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas; identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area; and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption. The technical scheme of the embodiment of the invention realizes accurate and efficient identification of the electricity stealing suspected user.
Description
Technical Field
The embodiment of the invention relates to an electric power metering technology, in particular to a method, a device, equipment and a medium for identifying users with abnormal electricity consumption.
Background
Current platform district electricity stealing behavior adopts artifical inspection, control, the mode of analysis to carry out anti-electricity stealing usually, and the investigation work load is big, inefficiency, the difficulty of collecting evidence, the human cost is high but inefficiency, and the intra-platform number of users is more moreover, and low voltage distribution network platform district often has that a lot of circuits are ageing, the circuit is built on stilts, the unreasonable scheduling problem of circuit layout in the user, if take place to steal the electricity action, current traditional means hardly locks a certain platform district or acquires a certain user electricity stealing.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for identifying users with abnormal power consumption, so as to realize accurate and efficient identification of electricity stealing users.
In a first aspect, an embodiment of the present invention provides a method for identifying a user with abnormal power consumption, where the method includes:
identifying an abnormal area with alternative power consumption according to the power consumption information of each area in the area;
screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas;
identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area;
and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption.
In a second aspect, an embodiment of the present invention further provides an apparatus for identifying a user with abnormal power consumption, where the apparatus includes:
the standby station area identification module is used for identifying an abnormal standby power consumption station area according to the power consumption information of each station area in the area;
the target station area identification module is used for screening the station areas with the abnormal target power consumption in each station area with the abnormal alternative power consumption according to the station area abnormal line loss respectively corresponding to each station area with the abnormal alternative power consumption;
the alternative user identification module is used for identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area;
and the target user identification module is used for screening the users with abnormal target power consumption from the users with abnormal alternative power consumption according to the user daily load curve of the users with abnormal alternative power consumption.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement a power usage exception user identification method according to any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a power consumption abnormal user identification method according to any embodiment of the present invention.
According to the method, the abnormal areas with the alternative power consumption are identified according to the power consumption information of each area in the area; screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas; identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area; according to the technical means for screening the target abnormal power consumption user from the various abnormal power consumption users according to the daily load curve of the users of the abnormal alternative power consumption users, a new method for screening and obtaining the suspected electricity stealing users is provided, the problem that electricity stealing behaviors of a certain area or a certain specific user are difficult to lock by the traditional means is solved, and accurate and efficient identification of the suspected electricity stealing users is achieved.
Drawings
Fig. 1 is a flowchart of a method for identifying a user with abnormal power consumption according to an embodiment of the present invention;
fig. 2 is a flowchart of another method for identifying a user with abnormal power consumption according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power consumption abnormal user identification apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for identifying a user with abnormal power consumption according to an embodiment of the present invention, where the method is applicable to identify a user with a suspected electricity stealing behavior (i.e., a target user with abnormal power consumption) in a distribution room, and the method may be implemented by a device for identifying a user with abnormal power consumption, where the device may be implemented in a software and/or hardware manner. The apparatus may be configured in a terminal device or a server, and the method may specifically include:
and S110, identifying the abnormal area with the alternative power consumption according to the power consumption information of each area in the area.
The station area with the abnormal alternative power consumption can be understood as a station area with all abnormal power consumption in the area, and the station area with the abnormal alternative power consumption is not necessarily suspected of electricity stealing.
Identifying the abnormal stand areas with the alternative power consumption according to the power consumption information of each stand area in the area, which may specifically include:
inputting the power consumption information of each distribution area in the area into a pre-established distribution area line loss model, and acquiring the normal distribution area line loss calculated by the distribution area line loss model according to the power consumption information of each distribution area; and identifying the district with the normal line loss exceeding the set normal line loss threshold value as the abnormal district with the alternative power consumption.
The pre-established transformer area line loss model can be a line loss model in normal operation of the transformer area; the normal line loss of the transformer area can be the loss of the transformer area in normal operation, and the loss can comprise the loss of line current of the transformer area, the loss of an electric energy meter, the loss of reactive compensation equipment of the transformer area and the like. Optionally, the line loss model of the normal operation of the platform area may be expressed as:
wherein, DeltaX represents the normal line loss of the transformer area, alpha represents the structure coefficient of the power grid of the transformer area, and m represents the power grid of the transformer area
The shape factor is a function of the shape factor,
the average current of the transformer area line is represented, R represents equivalent resistance of the transformer area line, T represents normal operation time of the transformer area, Q represents loss of the electric energy meters, n represents the number of the electric energy meters in the transformer area, and W represents loss of reactive compensation equipment in the transformer area.
After the normal line loss of the distribution area of each distribution area is obtained, the distribution area with the normal line loss exceeding the set normal line loss threshold value can be identified as the distribution area with the abnormal alternative power consumption.
The normal line loss threshold value can be understood as an upper limit value of the normal line loss of the transformer area. Optionally, a normal line loss threshold η is set, and when the normal line loss Δ X of the distribution room exceeds the set normal line loss threshold η, the corresponding distribution room is determined as the distribution room with the abnormal alternative power consumption.
And S120, screening the abnormal platform areas with the target power consumption in the abnormal platform areas with the alternative power consumption according to the abnormal line loss of the platform areas corresponding to the abnormal platform areas with the alternative power consumption.
The abnormal line loss of the transformer area can be loss when the transformer area operates abnormally; the target power consumption abnormal area can be selected as an area with suspicion of electricity stealing in the alternative power consumption abnormal area.
According to the station area abnormal line loss respectively corresponding to each standby power consumption abnormal station area, the target power consumption abnormal station area is obtained by screening in each standby power consumption abnormal station area, and the station area abnormal line loss of the station area with the abnormal power consumption can be obtained by calculation, and the station area with the suspected electricity stealing, namely the target power consumption abnormal station area, is screened in the station area with the abnormal useful power consumption according to the analysis of the station area abnormal line loss. The method specifically comprises the following steps:
calculating to obtain the abnormal line loss of the distribution area corresponding to each abnormal distribution area of the alternative power consumption according to the normal line loss of the distribution area and the weight line loss coefficient corresponding to each abnormal distribution area of the alternative power consumption; and determining the standby abnormal power consumption distribution area with the abnormal line loss exceeding the set abnormal line loss threshold value as the target abnormal power consumption distribution area.
Correspondingly, according to the area normal line loss and the weight line loss coefficient respectively corresponding to each alternative power consumption abnormal area, the area abnormal line loss respectively corresponding to each alternative power consumption abnormal area is calculated, and the method specifically includes:
calculating to obtain a weight line loss model corresponding to each abnormal power consumption area according to the normal line loss of the area corresponding to each abnormal power consumption area; and calculating to obtain the weight line loss coefficients respectively corresponding to the abnormal power consumption distribution areas according to the weight line loss models respectively corresponding to the abnormal power consumption distribution areas.
The weight line loss models respectively corresponding to the abnormal power consumption areas can be expressed as a matrix B:
wherein, I represents the line current of the transformer area, T represents the normal operation time of the transformer area, T represents the abnormal operation time of the transformer area, W represents the loss of reactive compensation equipment of the transformer area, and X represents the normal line loss of the transformer area.
Further, the weight line loss coefficient may be determined as an absolute value of the matrix B. The abnormal line loss of the transformer area can be determined as the product of the normal line loss of the transformer area and the weight line loss coefficient, and can be expressed as:
ΔY＝ΔX·β
where Δ Y represents the station area abnormal line loss, and β represents the weighted line loss coefficient.
The abnormal line loss threshold value can be understood as an upper limit value of the abnormal line loss of the transformer area. Optionally, an abnormal line loss threshold is set, and when the abnormal line loss of the distribution room exceeds the set abnormal line loss threshold, the corresponding distribution room is determined as the distribution room with the abnormal target power consumption.
And S130, identifying users with abnormal alternative power consumption according to the power consumption information of the users in the target power consumption abnormal area.
The alternative power consumption abnormal user can be understood as a user with all abnormal power consumption in the target power consumption abnormal area, and the alternative power consumption abnormal user is not necessarily suspected of electricity stealing.
Identifying the users with the abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area, which may specifically include:
inputting the power consumption information of the users in the target power consumption abnormal area into a pre-established fluctuation proportion model, and acquiring a fluctuation proportion value output by the fluctuation proportion model aiming at the power consumption information of the users in the target power consumption abnormal area; optionally, the pre-established fluctuation ratio model may be expressed as:
wherein the content of the first and second substances,
the fluctuation ratio value is represented, E represents the actual monthly power consumption, and F represents the comparative monthly power consumption.
And further, identifying the user with the fluctuation proportion value exceeding the set fluctuation proportion threshold value as the user with the abnormal alternative power consumption. The fluctuation proportion threshold value can be understood as an upper limit value of the fluctuation proportion value of the normal electricity consumption. Optionally, a fluctuation ratio threshold phi is set, and when the fluctuation ratio exceeds the set fluctuation ratio threshold, the corresponding user is determined as the user with the abnormal alternative power consumption.
And S140, screening the users with abnormal target electricity consumption from the users with abnormal alternative electricity consumption according to the daily user load curve of the users with abnormal alternative electricity consumption.
The user daily load curve can be understood as a user daily power consumption statistical curve, and the target abnormal power consumption user can be selected as a user who is suspected of electricity stealing among the alternative abnormal power consumption users. And screening target users with abnormal power consumption from the users with abnormal power consumption according to the user daily load curve of the users with abnormal power consumption, wherein the situation of daily power consumption load fluctuation of the users with abnormal power consumption is analyzed, and the users with electricity stealing suspicion are screened from the users with abnormal power consumption.
According to the technical scheme of the embodiment, the areas with the abnormal alternative power consumption are identified according to the power consumption information of each area in the area; screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas; identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area; and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption. The problem that a certain district or a certain user is difficult to accurately lock by the traditional means to steal electricity is solved, and the effect of accurately and efficiently identifying the electricity stealing suspected user is achieved.
Example two
Fig. 2 is a flowchart of another method for identifying an abnormal user in power consumption according to a second embodiment of the present invention, where in this embodiment, it is preferable to filter and obtain a target abnormal user in power consumption from the abnormal users in alternative power consumption according to a daily user load curve of the abnormal user in alternative power consumption, and the method may include:
and S210, identifying the abnormal area with the alternative power consumption according to the power consumption information of each area in the area.
And S220, screening the abnormal platform areas with the target power consumption in the abnormal platform areas with the alternative power consumption according to the abnormal line loss of the platform areas corresponding to the abnormal platform areas with the alternative power consumption.
And S230, identifying users with abnormal alternative power consumption according to the power consumption information of the users in the target power consumption abnormal area.
And S240, acquiring an average value of the electricity load in the statistical interval according to the user daily load curve of the user with the abnormal alternative electricity consumption.
Optionally, the first day load in the period is set to be P1According to the change condition of the user load curve, when the user load curve begins to be in a descending trend on the jth day, setting k days before and after the jth day as statistical intervals, and expressing the electricity load average value model as follows:
wherein, PjRepresents the average value of the electric load;
and S250, acquiring the slope of the curve when the electric load is in a descending trend in the statistical interval according to the average value of the electric load.
Optionally, the change of the load on the j th day is obtained, and the slope is expressed as:
Lj＝(Pj-Pj-1)/1
and S260, acquiring the average value of the slope of the curve when the electric load is in a descending trend in the statistical interval according to the slope of the curve.
Optionally, the average expression of the slope of the power change at the j-th day in the statistical interval is:
and S270, acquiring the electric quantity trend when the electric load is in a descending trend in the statistical interval according to the curve slope average value.
Optionally, the power trend H of day jjExpressed as:
and S280, identifying the alternative abnormal electricity consumption user with the electricity quantity trend being infinitesimal or equal to a negative number as the target abnormal electricity consumption user.
Optionally, according to the power trend H on the j dayjWhen H is presentjWhen the number is infinitesimal or equal to a negative number, the suspicion of electricity stealing of the user can be judged.
According to the technical scheme of the embodiment, the areas with the abnormal alternative power consumption are identified according to the power consumption information of each area in the area; screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas; identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area; and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption. The problem that a certain district or a certain user is difficult to accurately lock by the traditional means to steal electricity is solved, and the effect of accurately and efficiently identifying the electricity stealing suspected user is achieved.
On the basis of the foregoing embodiments, according to the user daily load curve of the abnormal user with alternative power consumption, the obtaining of the target abnormal user with power consumption by screening among the abnormal users with alternative power consumption may include:
analyzing the time of generating abnormal electric quantity according to the target user with abnormal electric quantity, and judging the electricity stealing level of the user;
and judging the credit degree of the power utilization of the user according to the power stealing level of the user.
Optionally, the number of days in which the abnormality occurs in the period exceeds H days, and the abnormality is judged as I-level abnormality; judging the number of days in which the abnormality occurs in the period exceeds K days as II-level abnormality; and judging that the number of days in which the abnormality occurs in the period exceeds L days as the grade III abnormality. Wherein, the numerical values of the abnormal days are in the order from big to small: H. k and L, H, K and L are all set abnormal days thresholds, which can be understood as upper limit values of abnormal days in the cycle.
The advantage of this arrangement is that the power supply company has an evaluation basis for the credit degree of the power utilization of the user, and the user is used as a key object for the power utilization inspector to violate electricity stealing at the investigation department.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for identifying a user with abnormal power consumption according to an embodiment of the present invention. The device can execute the method for identifying the abnormal power consumption user provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. The apparatus may include: an alternative station area identification module 310, a target station area identification module 320, an alternative subscriber identification module 330, and a target subscriber identification module 340.
The alternative station area identification module 310 is configured to identify an abnormal station area with alternative power consumption according to power consumption information of each station area in the area;
the target station area identification module 320 is configured to screen the station areas with the abnormal target power consumption in the station areas with the abnormal alternative power consumption according to the station area abnormal line loss respectively corresponding to the station areas with the abnormal alternative power consumption;
the alternative user identification module 330 is configured to identify an alternative power consumption abnormal user according to power consumption information of each user in the target power consumption abnormal area;
and the target user identification module 340 is configured to filter the users with abnormal target power consumption from the users with abnormal alternative power consumption according to the user daily load curve of the users with abnormal alternative power consumption.
According to the technical scheme of the embodiment, the areas with the abnormal alternative power consumption are identified according to the power consumption information of each area in the area; screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas; identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area; and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption. The problem that a certain district or a certain user is difficult to accurately lock by the traditional means to steal electricity is solved, and the effect of accurately and efficiently identifying the electricity stealing suspected user is achieved.
In the above apparatus, optionally, the alternative station area identifying module 310 may be specifically configured to:
inputting the power consumption information of each distribution area in the area into a pre-established distribution area line loss model, and acquiring the normal distribution area line loss calculated by the distribution area line loss model according to the power consumption information of each distribution area;
and identifying the district with the normal line loss exceeding the set normal line loss threshold value as the abnormal district with the alternative power consumption.
In the foregoing apparatus, optionally, the target station area identifying module 320 may be specifically configured to:
calculating to obtain the abnormal line loss of the distribution area corresponding to each abnormal distribution area of the alternative power consumption according to the normal line loss of the distribution area and the weight line loss coefficient corresponding to each abnormal distribution area of the alternative power consumption;
and determining the standby abnormal power consumption distribution area with the abnormal line loss exceeding the set abnormal line loss threshold value as the target abnormal power consumption distribution area.
In the above apparatus, optionally, the apparatus further includes a weighted line loss coefficient calculation module, configured to before calculating, according to the area normal line loss and the weighted line loss coefficient respectively corresponding to each of the candidate power consumption abnormal areas, the area abnormal line loss respectively corresponding to each of the candidate power consumption abnormal areas:
calculating to obtain a weight line loss model corresponding to each abnormal power consumption area according to the normal line loss of the area corresponding to each abnormal power consumption area;
and calculating to obtain the weight line loss coefficients respectively corresponding to the abnormal power consumption distribution areas according to the weight line loss models respectively corresponding to the abnormal power consumption distribution areas.
In the above apparatus, optionally, the alternative subscriber identity module 330 may be specifically configured to:
inputting the power consumption information of the users in the target power consumption abnormal area into a pre-established fluctuation proportion model, and acquiring a fluctuation proportion value output by the fluctuation proportion model aiming at the power consumption information of the users in the target power consumption abnormal area;
and identifying the user with the fluctuation proportion value exceeding the set fluctuation proportion threshold value as the user with the abnormal alternative power consumption.
In the foregoing apparatus, optionally, the target user identification module 340 may be specifically configured to:
acquiring an average value of the electricity load in a statistical interval according to the user daily load curve of the user with the abnormal alternative electricity consumption;
acquiring the slope of a curve when the electric load is in a descending trend in a statistical interval according to the average value of the electric load;
acquiring the average value of the slope of the curve when the electric load is in a descending trend in the statistical interval according to the slope of the curve;
acquiring the electric quantity trend when the electric load is in a descending trend in the statistical interval according to the curve slope average value;
and identifying the alternative abnormal electricity consumption user with the electricity quantity trend being infinitesimal or equal to a negative number as the target abnormal electricity consumption user.
Optionally, in the above apparatus, the credit degree determination module is further configured to, after a target abnormal power consumption user is obtained by screening among the abnormal alternative power consumption users according to a user daily load curve of the abnormal alternative power consumption user:
analyzing the time of generating abnormal electric quantity according to the target user with abnormal electric quantity, and judging the electricity stealing level of the user;
and judging the credit degree of the power utilization of the user according to the power stealing level of the user.
Example four
Fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention, as shown in fig. 4, the apparatus includes a processor 40, a storage device 41, an input device 42, and an output device 43; the number of processors 40 in the device may be one or more, and one processor 40 is taken as an example in fig. 4; the processor 40, the storage means 41, the input means 42 and the output means 43 in the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.
The storage device 41 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the power consumption abnormal user identification method in the embodiment of the present invention (for example, the alternative station area identification module 310, the target station area identification module 320, the alternative user identification module 330, and the target user identification module 340). The processor 40 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the storage device 41, that is, the above-mentioned power consumption abnormal user identification method is implemented, and the method may include:
identifying an abnormal area with alternative power consumption according to the power consumption information of each area in the area;
screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas;
identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area;
and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption.
The storage device 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage device 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 41 may further include memory located remotely from processor 40, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 43 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a method for identifying a user with abnormal power consumption, where the method includes:
identifying an abnormal area with alternative power consumption according to the power consumption information of each area in the area;
screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas;
identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area;
and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the power consumption abnormal user identification method provided by any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for identifying users with abnormal electricity consumption is characterized by comprising the following steps:
identifying an abnormal area with alternative power consumption according to the power consumption information of each area in the area;
screening the abnormal power consumption areas to obtain target abnormal power consumption areas according to the abnormal line loss of the areas corresponding to the abnormal power consumption areas;
identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area;
and screening target users with abnormal electricity consumption from the users with abnormal electricity consumption according to the daily load curve of the users with abnormal electricity consumption.
2. The method of claim 1, wherein identifying the abnormal areas with alternative power consumption according to the power consumption information of the areas in the area comprises:
inputting the power consumption information of each distribution area in the area into a pre-established distribution area line loss model, and acquiring the normal distribution area line loss calculated by the distribution area line loss model according to the power consumption information of each distribution area;
and identifying the district with the normal line loss exceeding the set normal line loss threshold value as the abnormal district with the alternative power consumption.
3. The method according to claim 1, wherein the step of screening the abnormal platform areas with the target power consumption in each abnormal platform area with the candidate power consumption according to the abnormal line loss of the platform area corresponding to each abnormal platform area with the candidate power consumption comprises:
calculating to obtain the abnormal line loss of the distribution area corresponding to each abnormal distribution area of the alternative power consumption according to the normal line loss of the distribution area and the weight line loss coefficient corresponding to each abnormal distribution area of the alternative power consumption;
and determining the standby abnormal power consumption distribution area with the abnormal line loss exceeding the set abnormal line loss threshold value as the target abnormal power consumption distribution area.
4. The method according to claim 3, before calculating, according to the area normal line loss and the weighted line loss coefficient respectively corresponding to each of the candidate power consumption abnormal areas, an area abnormal line loss respectively corresponding to each of the candidate power consumption abnormal areas, further comprising:
calculating to obtain a weight line loss model corresponding to each abnormal power consumption area according to the normal line loss of the area corresponding to each abnormal power consumption area;
and calculating to obtain the weight line loss coefficients respectively corresponding to the abnormal power consumption distribution areas according to the weight line loss models respectively corresponding to the abnormal power consumption distribution areas.
5. The method of claim 1, wherein identifying the users with abnormal alternative power consumption according to the power consumption information of the users in the target power consumption abnormal area comprises:
inputting the power consumption information of the users in the target power consumption abnormal area into a pre-established fluctuation proportion model, and acquiring a fluctuation proportion value output by the fluctuation proportion model aiming at the power consumption information of the users in the target power consumption abnormal area;
and identifying the user with the fluctuation proportion value exceeding the set fluctuation proportion threshold value as the user with the abnormal alternative power consumption.
6. The method of claim 1, wherein the step of screening target users with abnormal power consumption from the users with abnormal power consumption according to the daily user load curve of the users with abnormal power consumption comprises:
acquiring an average value of the electricity load in a statistical interval according to the user daily load curve of the user with the abnormal alternative electricity consumption;
acquiring the slope of a curve when the electric load is in a descending trend in a statistical interval according to the average value of the electric load;
acquiring the average value of the slope of the curve when the electric load is in a descending trend in the statistical interval according to the slope of the curve;
acquiring the electric quantity trend when the electric load is in a descending trend in the statistical interval according to the curve slope average value;
and identifying the alternative abnormal electricity consumption user with the electricity quantity trend being infinitesimal or equal to a negative number as the target abnormal electricity consumption user.
7. The method of claim 6, wherein after the target abnormal power consumption user is selected from the abnormal alternative power consumption users according to the daily user load curve of the abnormal alternative power consumption users, the method further comprises:
analyzing the time of generating abnormal electric quantity according to the target user with abnormal electric quantity, and judging the electricity stealing level of the user;
and judging the credit degree of the power utilization of the user according to the power stealing level of the user.
8. An apparatus for recognizing a user having an abnormal amount of power consumption, comprising:
the standby station area identification module is used for identifying an abnormal standby power consumption station area according to the power consumption information of each station area in the area;
the target station area identification module is used for screening the station areas with the abnormal target power consumption in each station area with the abnormal alternative power consumption according to the station area abnormal line loss respectively corresponding to each station area with the abnormal alternative power consumption;
the alternative user identification module is used for identifying users with abnormal alternative power consumption according to the power consumption information of each user in the target power consumption abnormal area;
and the target user identification module is used for screening the users with abnormal target power consumption from the users with abnormal alternative power consumption according to the user daily load curve of the users with abnormal alternative power consumption.
9. A computer device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a power usage exception user identification method as recited in any of claims 1-7.
10. A computer-readable storage medium on which a computer program is stored, the program, when being executed by a processor, implementing a power consumption abnormality user identification method according to any one of claims 1 to 7.
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