CN114839433A - Electricity stealing behavior determining method and device and electronic equipment - Google Patents
Electricity stealing behavior determining method and device and electronic equipment Download PDFInfo
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- CN114839433A CN114839433A CN202210278705.4A CN202210278705A CN114839433A CN 114839433 A CN114839433 A CN 114839433A CN 202210278705 A CN202210278705 A CN 202210278705A CN 114839433 A CN114839433 A CN 114839433A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/133—Arrangements for measuring electric power or power factor by using digital technique
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/26—Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
- G01R27/2688—Measuring quality factor or dielectric loss, e.g. loss angle, or power factor
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application discloses a method and a device for determining electricity stealing behavior and electronic equipment. Wherein, the method comprises the following steps: the method comprises the steps that network side equipment obtains electricity consumption used by a target user within a preset statistical time period; comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within a preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist; and determining whether the target user has electricity stealing behavior according to the first result and the second result. The application solves the technical problems that the existing anti-electricity-stealing working mode is still in the manual stage, manual analysis and patrol are mainly used, and the workload is large and the efficiency is low.
Description
Technical Field
The application relates to the field of data processing, in particular to a method and a device for determining electricity stealing behavior and electronic equipment.
Background
At present, electricity stealing behaviors occur occasionally, more and more electricity stealing modes with high technology content are adopted, such as wireless remote control, wired remote control and the like, electricity stealing means are quite hidden, a traditional electricity utilization inspection method cannot detect at all, the electricity stealing prevention requirements of the modern society cannot be met, and the electricity stealing prevention situation is quite severe.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining electricity stealing behavior and electronic equipment, and aims to at least solve the technical problems of large workload and low efficiency existing in the existing manual stage of an electricity stealing prevention working mode and mainly manual analysis and inspection.
According to an aspect of an embodiment of the present application, there is provided a method for determining electricity stealing behavior, including: the method comprises the steps that network side equipment obtains electricity consumption used by a target user within a preset statistical time period; comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within a preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist; and determining whether the target user has electricity stealing behavior according to the first result and the second result.
Optionally, after the network side device obtains the power consumption used by the target user within the preset statistical time period, the method further includes: determining the change trend information of the loss electric quantity of the electric quantity; determining the behavior characteristic of the target user as a first characteristic under the condition that the variation trend information indicates that the loss electric quantity is increased; and determining the behavior characteristic of the target user as a second characteristic under the condition that the variation trend information indicates that the loss electric quantity is reduced.
Optionally, the first feature and the second feature are detected at least once within a preset statistical time period.
Optionally, the first interval starts from a time stamp corresponding to the first feature and ends from a time stamp corresponding to the second feature, and an interval except the first interval in the preset statistical time period is a second interval, where the time corresponding to the first feature is a time point when the loss electric quantity changes from low to high, and the time corresponding to the second feature is a time point when the loss electric quantity changes from high to low.
Optionally, determining the behavior feature of the target user as the first feature includes: determining a first difference value of the electricity consumption and the electricity consumption in a previous collection period of the electricity consumption, and a second difference value of the power loss of the transformer area; calculating the ratio of the first difference to the second difference; determining the relationship between the difference of the line loss rates of the distribution areas and a second threshold value and the relationship between the change rate of the power consumption and a third threshold value under the condition that the ratio is smaller than or equal to the first threshold value; and under the condition that the difference value of the line loss rates of the distribution areas is larger than a second threshold value and the variation rate of the power consumption is smaller than a third threshold value, determining that the target user has the first characteristic.
Optionally, determining the behavior feature of the target user as the second feature includes: and under the condition that the ratio is smaller than or equal to the first threshold, the difference value of the line loss rates of the distribution areas is smaller than the second threshold, and the change rate of the power consumption is larger than the third threshold, determining that the target user has the second characteristic.
Optionally, the maximum duration corresponding to the first interval is greater than or equal to the fourth threshold, and the end time of the maximum duration is the same as the end time of the preset statistical time period.
Optionally, determining whether the target user has electricity stealing behavior according to the first result and the second result includes: determining a third difference value of the daily average power consumption of the first interval and the daily average power consumption of the second interval in a preset statistical time period; determining that the target user has a first behavior when the first result is that the ratio of the third difference to the daily average power consumption of the second interval is greater than or equal to a fifth threshold; determining a fourth difference value of the daily average line loss rate of the first interval and the daily average line loss rate of the second interval; when the second result is that the ratio of the fourth difference to the average daily line loss rate of the second interval is greater than or equal to a sixth threshold, determining that the target user has a second behavior; and under the condition that the target user has the first behavior and the second behavior, determining that the target user has the electricity stealing behavior, wherein the electricity stealing level of the target user is the first level.
Optionally, it is determined whether there is electricity stealing behavior for the target user according to the first result and the second result, and the method further includes: and when the first result is that the daily average power consumption of the first interval is lower than that of the second interval and the second result is that the daily average line loss rate of the first interval is higher than that of the second interval, determining that the target user has electricity stealing behavior and the electricity stealing level of the target user is the first level.
Optionally, after determining whether the target user has the electricity stealing behavior according to the first result and the second result, the method further includes: under the condition that the target user is determined to have the electricity stealing behavior, determining the electricity stealing level of the target user; acquiring the times of opening the electric meter cover by a target user in a preset statistical time period and the opening duration of the electric meter cover; and under the condition that the number of times that the target user opens the electricity meter cover in the preset statistical time period is larger than or equal to a seventh threshold value and the opening duration is larger than or equal to an eighth threshold value, determining the electricity stealing level of the target user as a second level, wherein the higher the electricity stealing level is, the higher the probability of electricity stealing behavior is.
Optionally, after determining that the electricity stealing rating of the target user is the second rating, the method further comprises: acquiring a deviation value of a daily electric quantity mean value at a first time and a daily electric quantity mean value at a second time corresponding to a target user opening an ammeter cover within a preset statistical time period; and under the condition that the judgment deviation value is larger than the ninth threshold value, determining the electricity stealing level of the target user as a third level.
According to another aspect of the embodiments of the present application, there is also provided a power stealing behavior determination apparatus, including: the acquisition module is used for acquiring the electricity consumption used by the target user within a preset statistical time period; the comparison module is used for comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within a preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist; and the determining module is used for determining whether the target user has electricity stealing behavior according to the first result and the second result.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including: a memory for storing program instructions; a processor coupled to the memory for executing program instructions that implement the functions of: the method comprises the steps that network side equipment obtains electricity consumption used by a target user within a preset statistical time period; comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within a preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist; and determining whether the target user has electricity stealing behavior according to the first result and the second result.
According to still another aspect of the embodiments of the present application, there is further provided a non-volatile storage medium, where the non-volatile storage medium includes a stored program, and the apparatus where the non-volatile storage medium is located is controlled to execute the foregoing electricity stealing behavior determination method when the program runs.
In the embodiment of the application, a first interval with suspected electricity stealing behavior and a second interval without the suspected electricity stealing behavior are determined by obtaining the electricity consumption used by a target user in a preset statistical period, a first result is obtained by comparing the daily average electricity consumption of the first interval with the daily average electricity consumption of the second interval, a second result is obtained by comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval, whether the electricity stealing behavior exists in the target user is determined according to the first result and the second result, and the purpose of rapidly determining the electricity stealing behavior is achieved, so that the technical effects of reducing the work load of general electricity stealing prevention and improving the investigation efficiency are achieved, and the technical problems that the existing electricity stealing prevention work mode is still in a manual stage, and the manual analysis and the inspection are mainly used, the work load is large, and the efficiency is low are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a block diagram of a hardware structure of a computer terminal (or an electronic device) for implementing a method for determining electricity stealing behavior according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of determining theft behavior according to an embodiment of the present application;
fig. 3 is a block diagram of a theft behavior determination apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the related art, the anti-electricity-stealing working mode is still in the manual stage, mainly manual analysis and patrol are performed, the workload is large, the efficiency is low, the analysis is difficult, the pertinence is lacked, the requirements of sustainable development can not be met, and the defects in the prior art are as follows: 1. the traditional power field inspection needs to consume a large amount of manpower and material resources, and is difficult to carry out regularly and quantitatively; 2. the electricity stealing prevention efficiency is low, particularly public transformer users have dispersed geographic positions, more users with suspected electricity stealing behaviors are available, and the troubleshooting is time-consuming and labor-consuming one by one; 3. the traditional on-site inspection depends on the responsibility and the consciousness of inspection personnel, and the situations that a user with suspected electricity stealing behavior forgets, wrongly remembers or even falsely makes a false appear easily; 4. the analysis of the traditional suspected electricity stealing behavior user is more based on experience, and the analysis accuracy is low.
Along with comprehensive popularization and application of the intelligent meter and the power utilization information acquisition system, automation and timeliness of data acquisition are more and more efficient, and powerful data support and technical support are provided for developing efficient and accurate electricity stealing prevention work in an intelligent and normalized mode. Based on data such as current, voltage, electric quantity and the like acquired by the power utilization information acquisition system, a big data analysis technology is applied, a multiple screening and filtering mechanism is constructed, an accurate diagnosis and analysis model of suspected power stealing behaviors of a user is constructed by utilizing auxiliary study and judgment of various abnormal events, data support is provided for the field check work of power stealing prevention, the workload of general check of power stealing prevention is reduced, and the check efficiency is improved.
The embodiment of the electricity stealing behavior determination method provided by the embodiment of the application can be executed in a mobile terminal, a computer terminal or a similar arithmetic device. Fig. 1 shows a hardware configuration block diagram of a computer terminal (or electronic device) for implementing a power stealing behavior determination method. As shown in fig. 1, the computer terminal 10 (or electronic device 10) may include one or more processors (shown as 102a, 102b, … …, 102n in the figures) which may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, a memory 104 for storing data, and a transmission module 106 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal 10 (or electronic device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).
The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the electricity stealing behavior determination method in the embodiment of the present application, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the electricity stealing behavior determination method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor, which may be connected to the computer terminal 10 via 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 transmission module 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer terminal 10 (or electronic device).
It should be noted here that in some alternative embodiments, the computer device (or electronic device) shown in fig. 1 may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that fig. 1 is only one example of a particular specific example and is intended to illustrate the types of components that may be present in the computer device (or electronic device) described above.
In the above operating environment, the embodiments of the present application provide an embodiment of a method for determining electricity stealing behavior, and it should be noted that the steps shown in the flowchart of the drawings may be executed in a computer system, such as a set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown.
Fig. 2 is a flowchart of a method for determining electricity stealing behavior according to an embodiment of the present application, as shown in fig. 2, the method includes the following steps:
step S202, network side equipment acquires power consumption used by a target user within a preset statistical time period, wherein in the embodiment of the application, the network side equipment can be a server on a power grid side;
step S204, comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within a preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist;
and step S206, determining whether the target user has electricity stealing behavior according to the first result and the second result.
Through the steps, the power consumption used by the target user in the preset statistical period is obtained, the first interval with suspected electricity stealing behaviors and the second interval without the suspected electricity stealing behaviors are determined, the daily average power consumption of the first interval and the daily average power consumption of the second interval are compared to obtain the first result, the daily average line loss rate of the first interval and the daily average line loss rate of the second interval are compared to obtain the second result, whether the electricity stealing behaviors exist in the target user is determined according to the first result and the second result, and the purpose of rapidly determining the electricity stealing behaviors is achieved.
In order to visualize the electricity stealing behavior, the beginning and the end of the electricity stealing are marked by a first feature and a second feature, respectively, and specifically, the determination method of the first feature and the second feature comprises the following steps: determining the change trend information of the loss electric quantity of the electric quantity; determining the behavior characteristic of the target user as a first characteristic under the condition that the variation trend information indicates that the loss electric quantity is increased; and determining the behavior characteristic of the target user as a second characteristic under the condition that the variation trend information indicates that the loss electric quantity is reduced.
In the above steps of the embodiment of the present application, the first feature is a start feature of electricity stealing in which the amount of loss of the amount of electricity used by the target user is increased from low, and the second feature is an end feature of electricity stealing in which the amount of loss of the amount of electricity used by the target user is decreased from high.
In step S204 of the above method for determining electricity stealing behavior, a first feature and a second feature are detected at least once within a preset statistical time period, where a first interval starts from a time stamp corresponding to the first feature and ends from a time stamp corresponding to the second feature, and an interval excluding the first interval within the preset statistical time period is a second interval, where a time corresponding to the first feature is a time point when the loss electric quantity changes from low to high, that is, a time point when the electricity stealing behavior starts, and a time corresponding to the second feature is a time point when the loss electric quantity changes from high to low, that is, a time point when the electricity stealing behavior ends.
The first section indicates a power stealing section in the present embodiment, and the second section indicates a non-power stealing section in the present embodiment. The first characteristic and the second characteristic are detected at least once within the preset statistical time period, which means that the complete first interval is included at least once within the preset statistical time period, namely, the time of beginning of electricity stealing and the time of ending of electricity stealing are included at least once. The preset statistical time period may be, for example, 30 days in the embodiment of the present application, and the electricity consumption used by the target user within 30 days is counted.
Because the power consumption used by the target user may have different expression forms within a preset statistical time period, it is necessary to determine a first behavior characteristic corresponding to the target user when the electricity stealing interval starts, specifically, in the above step, the determining the behavior characteristic of the target user as the first characteristic specifically includes the following steps: determining a first difference value of the power consumption and the power consumption in a previous acquisition period of the power consumption, and a second difference value of the power loss of a transformer area, wherein the transformer area is a power supply range or area of a transformer, and the transformer may cover a plurality of target users; calculating the ratio of the first difference to the second difference; determining the relationship between the difference of the line loss rates of the distribution areas and the second threshold value and the relationship between the change rate of the electricity consumption and the third threshold value under the condition that the ratio is smaller than or equal to the first threshold value; and under the condition that the difference value of the line loss rates of the distribution areas is larger than a second threshold value and the variation rate of the power consumption is smaller than a third threshold value, determining that the target user has the first characteristic.
The step is a process of determining the time when electricity stealing starts, first determining a first difference of electricity consumption used by a target user in two adjacent collection times, when the collection times are collected in units of days, determining a difference between the current electricity consumption time and the electricity consumption of the previous day of the current electricity consumption to obtain a first difference, a second difference corresponding to the electricity loss of a station area is a difference between the electricity quantity provided by the station area for the users in a coverage area and the electricity quantity used by the users, calculating a ratio of the first difference to the second difference through step S222, using Q to represent the ratio of the first difference to the second difference, and when Q is less than or equal to a first threshold, determining that the target user has a first characteristic when the difference of the line loss rate of the station area is greater than a second threshold and the change rate of the electricity consumption is less than a third threshold.
In the embodiment of the present application, the second threshold is a variation threshold of the line loss rate of the transformer area, the third threshold is a ratio of the variation of the electric quantity of the user to the electric quantity used in the previous day, and when the variation rate of the electric quantity used is calculated, it is excluded that the daily average load rate of the transformer area is less than or equal to 1/24, and the load rate of the transformer is ppq/the transformer area capacity tg _ cap, tg _ cap is the capacity of one hour, and ppq is the total electric quantity of one day, so the daily average load rate is ppq/24/tg _ cap.
When the target user is determined to have the first characteristic, the time corresponding to the first characteristic is marked as the time point when the electricity stealing behavior starts, at the moment, the first difference is a negative value, and the second difference is a positive value.
In the above step, determining the behavior feature of the target user as the second feature specifically includes the following steps: and under the condition that the ratio is smaller than or equal to the first threshold, the difference value of the line loss rates of the distribution areas is smaller than the second threshold, and the change rate of the power consumption is larger than the third threshold, determining that the target user has the second characteristic.
And when Q is smaller than or equal to the first threshold, the difference value of the line loss rates of the distribution areas is smaller than the second threshold, and the change rate of the electricity consumption is larger than the third threshold, determining that the target user has the second characteristic.
It should be noted that, when determining that the change rate of the power consumption calculated by the second feature is smaller than or equal to 1/24, the average daily load rate of the distribution room needs to be eliminated, and when determining that the target user has the second feature, the time corresponding to the second feature is marked as the time point when the electricity stealing behavior ends, where the first difference is a positive value, and the second difference is a negative value.
It should be noted that the preset statistical time period may include a plurality of first intervals, or may include one first interval, when there is only one first interval, the duration corresponding to the first interval is the maximum duration, the maximum duration is greater than or equal to the fourth threshold, and the end time of the maximum duration is the same as the end time of the preset statistical time period; when a plurality of first intervals exist, due to the fact that the corresponding time lengths of the first intervals are different, the maximum time length is determined from the time lengths of the first intervals, the maximum time length is larger than or equal to a fourth threshold, and the end time of the maximum time length is the same as the end time of the preset statistical time period. It should be noted that, in the embodiment of the present application, the maximum duration is the maximum number of days of duration of the electricity stealing interval, and the fourth threshold may be used to filter out a phenomenon that electricity stealing frequently starts or stops due to equipment failure and the like.
In step S206 of the above method for determining electricity stealing behavior, determining whether the target user has electricity stealing behavior according to the first result and the second result, specifically including the following steps: determining a third difference value of the daily average power consumption of the first interval and the daily average power consumption of the second interval in a preset statistical time period; determining that the target user has a first behavior when the first result is that the ratio of the third difference to the daily average power consumption of the second interval is greater than or equal to a fifth threshold; determining a fourth difference value of the daily average line loss rate of the first interval and the daily average line loss rate of the second interval; when the second result is that the ratio of the fourth difference to the average daily line loss rate of the second interval is greater than or equal to a sixth threshold, determining that the target user has a second behavior; and under the condition that the target user has the first behavior and the second behavior, determining that the target user has the electricity stealing behavior, wherein the electricity stealing level of the target user is the first level.
In the above steps, determining a daily average power consumption P1 of a first interval, a daily average power consumption P2 of a second interval, and a third difference value P2-P1 within a preset statistical time period, and if (P2-P1)/P2 is greater than or equal to a fifth threshold, determining that a first behavior exists in a target user, where the first behavior indicates that the target user meets the electricity stealing power change characteristic, and the fifth threshold is used to screen users with abnormal daily average values of power consumptions of the users within the preset statistical time period, and controlling the number of users by the fifth threshold; determining the daily average line loss rate L1 of the first interval, the daily average line loss rate L2 of the second interval, and the fourth difference value is L1-L2, if the (L1-L2)/L2 is greater than or equal to a sixth threshold, determining that the target user has a second behavior, wherein the second behavior indicates that the target user meets the line loss rate change characteristic, the sixth threshold is used for screening the station areas with abnormal daily average values of the line loss rates of the station areas within a preset statistical time period, and controlling the number of the target station areas through the sixth threshold. When the target user simultaneously meets the electricity stealing electric quantity change characteristic and the electricity stealing line loss rate change characteristic, namely the target user has a first behavior and a second behavior, the target user is determined to have the electricity stealing behavior, and the electricity stealing level of the target user is the first level.
In step S206 of the above method for determining electricity stealing behavior, determining whether the target user has electricity stealing behavior according to the first result and the second result, specifically including the following steps: and when the first result is that the daily average power consumption of the first interval is lower than that of the second interval and the second result is that the daily average line loss rate of the first interval is higher than that of the second interval, determining that the target user has electricity stealing behavior and the electricity stealing level of the target user is the first level.
In step S206 of the above method for determining electricity stealing behavior, after determining whether the target user has the electricity stealing behavior according to the first result and the second result, the method specifically includes the following steps: under the condition that the target user is determined to have the electricity stealing behavior, determining the electricity stealing level of the target user; acquiring the times of opening the electric meter cover by a target user in a preset statistical time period and the opening duration of the electric meter cover; and under the condition that the number of times that the target user opens the electricity meter cover in the preset statistical time period is larger than or equal to a seventh threshold value and the opening duration is larger than or equal to an eighth threshold value, determining the electricity stealing level of the target user as a second level, wherein the higher the electricity stealing level is, the higher the probability of electricity stealing behavior is.
In the foregoing step, the electricity stealing level of the target user is determined by the aid of the uncovering event, and the number of times that the target user opens the electricity meter cover within the preset statistical time period is obtained, it should be noted that the electricity meter cover in the embodiment of the present application may also be an end button cover, both the seventh threshold and the eighth threshold may be automatically adjusted according to actual conditions, when the seventh threshold is set to 1 and the eighth threshold is set to 3s, that is, when the number of times that the target user opens the electricity meter cover within the preset statistical time period is greater than or equal to 1 and opens the market for greater than or equal to 3s, the electricity stealing level of the target user is raised, and the electricity stealing level of the target user is raised from the first level to the second level.
In the above step, after determining that the electricity stealing rating of the target user is the second rating, the method specifically further includes the following steps: acquiring a deviation value of a daily electric quantity mean value at a first time and a daily electric quantity mean value at a second time corresponding to a target user opening an ammeter cover within a preset statistical time period; and under the condition that the judgment deviation value is larger than the ninth threshold value, determining the electricity stealing level of the target user as a third level.
In the foregoing steps in this embodiment of the application, the first time is a reference time obtained when the target user opens the electricity meter cover, the first time is pushed forward for 7 days, the time corresponds to the first time, the second time is a reference time obtained when the target user opens the electricity meter cover, the second time is pushed backward for 7 days, the time corresponds to the second time, when the second time does not satisfy 7 days, the number of days can be appropriately reduced, and when a deviation of more than 50% occurs between the daily electricity quantity average value of the first time and the daily electricity quantity average value of the second time, that is, the ninth threshold is set to 50%, the electricity stealing level of the target user is increased from the second level to the third level.
The embodiment of the electricity stealing behavior determining method is equivalent to providing an electricity stealing prevention identification model for normally metering electricity stealing users aiming at the intermittent interference electric energy meter, and the suspected electricity stealing users are identified through the model, so that the workload of electricity stealing prevention investigation can be reduced, the human resources are saved, and the working efficiency is improved; meanwhile, after electricity stealing users are eliminated, the line loss of the transformer area can be reduced, and the economic loss can be saved.
Fig. 3 is a block diagram of a theft behavior determination apparatus according to an embodiment of the present application, as shown in fig. 3, the apparatus including:
an obtaining module 302, configured to obtain a power consumption used by a target user within a preset statistical time period;
the comparison module 304 is configured to compare the daily average power consumption of the first interval with the daily average power consumption of the second interval within a preset statistical time period to obtain a first result, and compare the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, where the first interval is a time period in which the electricity stealing behavior exists, and the second interval is a time period in which the electricity stealing behavior does not exist;
and the determining module 306 is used for determining whether the target user has the electricity stealing behavior according to the first result and the second result.
It should be noted that the electricity stealing behavior determining apparatus shown in fig. 3 is used for implementing the electricity stealing behavior determining method shown in fig. 2, and therefore, the explanation of the electricity stealing behavior determining method is also applicable to the electricity stealing behavior determining apparatus, and is not described herein again.
The embodiment of the application also provides a nonvolatile storage medium, which includes a stored program, wherein when the program runs, the apparatus where the nonvolatile storage medium is located is controlled to execute the following electricity stealing behavior determination method: the method comprises the steps that network side equipment obtains electricity consumption used by a target user within a preset statistical time period; comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within a preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist; and determining whether the target user has electricity stealing behavior according to the first result and the second result.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
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 units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in 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 application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (14)
1. A method of determining electricity theft behavior, comprising:
the method comprises the steps that network side equipment obtains electricity consumption used by a target user within a preset statistical time period;
comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within the preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist;
and determining whether the target user has electricity stealing behavior according to the first result and the second result.
2. The method according to claim 1, wherein after the network-side device obtains the power consumption used by the target user within the preset statistical time period, the method further comprises:
determining the change trend information of the loss electric quantity of the electricity consumption;
determining the behavior characteristic of the target user as a first characteristic under the condition that the variation trend information indicates that the loss electric quantity is increased;
and determining the behavior characteristic of the target user as a second characteristic under the condition that the variation trend information indicates that the loss electric quantity is reduced.
3. The method of claim 2, wherein the first feature and the second feature are detected at least once within the preset statistical time period.
4. The method according to claim 2, wherein the first interval starts from a time stamp corresponding to the first characteristic and ends from a time stamp corresponding to the second characteristic, and an interval other than the first interval within the preset statistical time period is the second interval, wherein the time corresponding to the first characteristic is a time point at which the amount of power loss changes from low to high, and the time corresponding to the second characteristic is a time point at which the amount of power loss changes from high to low.
5. The method of claim 2, wherein determining the behavioral characteristic of the target user as the first characteristic comprises:
determining a first difference value of the electricity consumption and the electricity consumption in a previous collection period of the electricity consumption, and a second difference value of the power loss of the transformer area;
calculating a ratio of the first difference to the second difference;
determining the relationship between the difference value of the line loss rates of the distribution areas and a second threshold value and the relationship between the change rate of the electricity consumption and a third threshold value under the condition that the ratio is smaller than or equal to a first threshold value;
and determining that the target user has a first characteristic under the condition that the difference value of the line loss rates of the distribution areas is larger than the second threshold value and the variation rate of the electricity consumption is smaller than the third threshold value.
6. The method of claim 5, wherein determining the behavioral characteristic of the target user as the second characteristic comprises:
and determining that the target user has a second characteristic when the ratio is smaller than or equal to a first threshold, the difference of the line loss rates of the distribution areas is smaller than a second threshold, and the change rate of the power consumption is larger than a third threshold.
7. The method according to claim 1, wherein a maximum duration corresponding to the first interval is greater than or equal to a fourth threshold, and an end time of the maximum duration is the same as an end time of the preset statistical time period.
8. The method of claim 1, wherein determining whether the target user has power stealing behavior based on the first and second results comprises:
determining a third difference value of the daily average power consumption of the first interval and the daily average power consumption of the second interval in the preset statistical time period;
determining that a first action exists in the target user when the first result is that the ratio of the third difference to the daily average power consumption of the second interval is greater than or equal to a fifth threshold;
determining a fourth difference value of the daily average line loss rate of the first interval and the daily average line loss rate of the second interval;
determining that the target user has a second behavior when the second result is that the ratio of the fourth difference to the average daily line loss rate of the second interval is greater than or equal to a sixth threshold;
and under the condition that the target user has the first behavior and the second behavior, determining that the target user has the electricity stealing behavior, wherein the electricity stealing level of the target user is a first level.
9. The method of claim 1, wherein determining whether the target user has power stealing behavior based on the first and second results, the method further comprising:
and when the first result is that the daily average power consumption of the first interval is lower than the daily average power consumption of the second interval, and the second result is that the daily average line loss rate of the first interval is higher than the daily average line loss rate of the second interval, determining that the target user has the electricity stealing behavior, wherein the electricity stealing grade of the target user is a first grade.
10. The method of claim 1, wherein after determining whether the target user has power stealing behavior based on the first and second results, the method further comprises:
under the condition that the target user is determined to have the electricity stealing behavior, determining the electricity stealing level of the target user;
acquiring the times of opening the electric meter cover by the target user in the preset statistical time period and the opening duration of the electric meter cover;
and under the condition that the number of times that the target user opens the electricity meter cover in the preset statistical time period is judged to be greater than or equal to a seventh threshold value and the opening duration is greater than or equal to an eighth threshold value, determining that the electricity stealing level of the target user is a second level, wherein the higher the electricity stealing level is, the higher the probability of electricity stealing behavior is.
11. The method of claim 10, wherein after determining that the target user's level of electricity theft is a second level, the method further comprises:
acquiring a deviation value of a daily electric quantity mean value at a first time and a daily electric quantity mean value at a second time corresponding to the target user when the target user opens the ammeter cover within the preset statistical time period;
and under the condition that the deviation value is judged to be larger than a ninth threshold value, determining the electricity stealing level of the target user as a third level.
12. An electricity stealing behavior determining apparatus, comprising:
the acquisition module is used for acquiring the electricity consumption used by the target user within a preset statistical time period;
the comparison module is used for comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within the preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist;
and the determining module is used for determining whether the target user has electricity stealing behavior according to the first result and the second result.
13. An electronic device, comprising:
a memory for storing program instructions;
a processor coupled to the memory for executing program instructions that implement the functions of: the method comprises the steps that network side equipment obtains electricity consumption used by a target user within a preset statistical time period; comparing the daily average power consumption of a first interval with the daily average power consumption of a second interval within the preset statistical time period to obtain a first result, and comparing the daily average line loss rate of the first interval with the daily average line loss rate of the second interval to obtain a second result, wherein the first interval is a time period when electricity stealing behaviors exist, and the second interval is a time period when electricity stealing behaviors do not exist; and determining whether the target user has electricity stealing behavior according to the first result and the second result.
14. A non-volatile storage medium, comprising a stored program, wherein a device in which the non-volatile storage medium is located is controlled to perform the electricity stealing behavior determination method according to any one of claims 1 to 11 when the program is executed.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116340765A (en) * | 2023-02-16 | 2023-06-27 | 成都昶鑫电子科技有限公司 | Electricity larceny user prediction method and device, storage medium and electronic equipment |
| CN116486590A (en) * | 2023-05-10 | 2023-07-25 | 漆燕 | Ammeter data analysis system based on remote meter reading mode |
| CN117147959A (en) * | 2023-08-23 | 2023-12-01 | 广东电网有限责任公司佛山供电局 | Electricity larceny prevention analysis method and device |
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- 2022-03-21 CN CN202210278705.4A patent/CN114839433A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116340765A (en) * | 2023-02-16 | 2023-06-27 | 成都昶鑫电子科技有限公司 | Electricity larceny user prediction method and device, storage medium and electronic equipment |
| CN116486590A (en) * | 2023-05-10 | 2023-07-25 | 漆燕 | Ammeter data analysis system based on remote meter reading mode |
| CN116486590B (en) * | 2023-05-10 | 2024-03-22 | 江阴众和电力仪表有限公司 | Ammeter data analysis system based on remote meter reading mode |
| CN117147959A (en) * | 2023-08-23 | 2023-12-01 | 广东电网有限责任公司佛山供电局 | Electricity larceny prevention analysis method and device |
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