CN117147959A - Electricity larceny prevention analysis method and device - Google Patents
Electricity larceny prevention analysis method and device Download PDFInfo
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- CN117147959A CN117147959A CN202311073253.7A CN202311073253A CN117147959A CN 117147959 A CN117147959 A CN 117147959A CN 202311073253 A CN202311073253 A CN 202311073253A CN 117147959 A CN117147959 A CN 117147959A
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- 230000002265 prevention Effects 0.000 title claims abstract description 48
- 238000004458 analytical method Methods 0.000 title claims abstract description 37
- 230000002159 abnormal effect Effects 0.000 claims abstract description 60
- 238000012544 monitoring process Methods 0.000 claims abstract description 59
- 238000000034 method Methods 0.000 claims abstract description 28
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/066—Arrangements for avoiding or indicating fraudulent use
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/02—Constructional details
- G01R11/24—Arrangements for avoiding or indicating fraudulent use
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Abstract
The embodiment of the invention discloses an electricity larceny prevention analysis method and device, comprising the following steps: dividing the electricity consumption area to form a plurality of electricity consumption monitoring areas, and carrying out electricity consumption monitoring on all target objects in each electricity consumption monitoring area; collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object; and processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has a flip behavior or not according to the user behavior parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip behavior occurs. The method has the advantages that different electricity utilization areas are monitored in different areas, whether electricity utilization is abnormal or not is judged based on the electricity utilization characteristics of the electricity utilization areas and the electricity utilization data of users, automatic and intelligent electricity larceny prevention analysis is conducted, inconvenience of manual regular check is avoided, analysis and early warning can be timely conducted, and related measures can be generated in advance.
Description
Technical Field
The invention relates to the technical field of electricity larceny prevention, in particular to an electricity larceny prevention analysis method and device.
Background
At present, losses caused by a series of fraudulent electricity utilization behaviors such as electricity larceny and fraud of power distribution side power consumers are collectively called Non-Technical Loss (NTL). The normal operation of the power grid can be seriously influenced by the non-technical loss, the normal scheduling of the regional power grid is disturbed, and even safety accidents can be caused by the fact that users change the circuit privately. The current situation of anti-electricity-theft still depends on the theoretical line loss calculation value of the typical day to carry out comparison analysis with the actual management line loss value, and loss reduction measures are further proposed; the traditional line loss management mode has various defects such as time dissynchronism, data inaccuracy and the like, cannot reflect the actual line loss state, and cannot provide more accurate anti-electricity-stealing and loss reduction measures. Users with different power utilization levels are generally separated in the same power supply station area, and the power utilization characteristics of different users are different. At present, the countermeasure against electricity larceny is often limited by adding detection hardware to an ammeter terminal, so as to help judge whether the operation speed of the ammeter is changed through magnetic equipment and the like to steal electricity, or whether the operation of moving, uncapping and the like is carried out on the ammeter terminal hardware or the operation of checking to divided areas is carried out periodically by means of manpower, so that the ammeter terminal is inconvenient, not real-time-free and not accurate enough.
Disclosure of Invention
Aiming at the defects, the embodiment of the invention discloses an electricity larceny prevention analysis method and device, which are used for automatically monitoring electricity consumption of a user and realizing automatic electricity larceny prevention analysis.
The first aspect of the embodiment of the invention discloses an electricity larceny prevention analysis method, which comprises the following steps:
dividing the electricity consumption area to form a plurality of electricity consumption monitoring areas, and carrying out electricity consumption monitoring on all target objects in each electricity consumption monitoring area;
collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters;
and processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has a flip action or not according to the user action parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip action occurs.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, processing the electricity consumption data to determine whether the electricity consumption of the target object is abnormal includes:
generating an electricity distribution curve corresponding to the target object according to the electricity data, and dividing the electricity distribution curve into a plurality of sections of ascending trend wave bands and descending trend wave bands;
and processing the descending trend wave band, calculating the slope of the descending trend wave band, judging that the target object is abnormal in power consumption when the slope is larger than the set slope, and otherwise, judging that the target object is normal in power consumption.
In an optional implementation manner, in a first aspect of the embodiment of the present invention, when the slope is greater than a set slope, the determining that the target object is abnormal in power consumption includes:
when the slope is larger than a set slope, acquiring whether the lowest value of the descending trend band is lower than a set threshold value;
when the minimum value is lower than a set threshold value, detecting whether an abnormal application instruction of a target object is received, and if the abnormal application instruction is not received, sending an abnormal inquiry message to the target object;
and when the minimum value is not lower than a set threshold value, judging that the target object is abnormal in power consumption.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, processing the electricity consumption data to determine whether the electricity consumption of the target object is abnormal includes:
dividing the electricity utilization data into first data and second data, generating an electricity utilization distribution curve of a target object based on the first data, and correcting the electricity utilization distribution curve by using the second data; the electricity consumption distribution curve comprises the relation between different time periods and electricity consumption in different seasons;
and comparing the electricity consumption data in any time period with the electricity consumption distribution curve, and judging that the electricity consumption of the target object is abnormal when the electricity consumption data exceeds the range of the electricity consumption distribution curve.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the method further includes:
after the target object is marked as an electricity larceny prevention early warning object, the electricity larceny grade of the target object is rated based on the operation parameters of the ammeter and the behavior parameters of the user;
and acquiring corresponding electricity stealing penalties based on different electricity stealing grades, and sending the electricity stealing penalty generation notification message to a target object.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the rating the electricity theft level of the target object based on the electricity meter operation parameter and the user behavior parameter includes:
acquiring all historical electricity utilization data of an electricity utilization monitoring area where a target object is located, and generating electricity utilization thresholds of the electricity utilization monitoring area in different time periods based on the historical electricity utilization data;
calculating the electricity consumption value of the target object exceeding the electricity consumption threshold according to the electricity consumption data of the target object acquired by the ammeter operation parameters;
setting a plurality of numerical value evaluation sections, and dividing the target object into corresponding numerical value evaluation sections according to the electricity consumption values so as to determine the electricity stealing level of the target object.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, setting a plurality of value evaluation intervals, dividing the target object into corresponding value evaluation intervals according to the electricity consumption value to determine the electricity theft level of the target object, including:
setting the numerical range intervals with the same interval as numerical value evaluation intervals, and distributing the numerical value evaluation intervals to the electricity stealing grades corresponding to different numerical value evaluation intervals;
acquiring an electricity consumption value of a target object, and determining a value evaluation interval corresponding to the electricity consumption value;
and if so, the electricity stealing level corresponding to the first-level electricity consumption value is increased upwards.
A second aspect of an embodiment of the present invention discloses an electricity larceny prevention analysis device, including:
the electricity consumption object monitoring module: the power utilization monitoring system comprises a power utilization monitoring system, a power utilization monitoring system and a power utilization monitoring system, wherein the power utilization monitoring system is used for dividing a power utilization area to form a plurality of power utilization monitoring areas, and performing power utilization monitoring on all target objects of each power utilization monitoring area;
and the user parameter acquisition module is used for: the method comprises the steps of collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters;
and the electricity consumption data analysis module is used for: and the electricity consumption data is used for processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has the flip behavior or not according to the user behavior parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip behavior occurs.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, processing the electricity consumption data to determine whether the electricity consumption of the target object is abnormal includes:
generating an electricity distribution curve corresponding to the target object according to the electricity data, and dividing the electricity distribution curve into a plurality of sections of ascending trend wave bands and descending trend wave bands;
and processing the descending trend wave band, calculating the slope of the descending trend wave band, judging that the target object is abnormal in power consumption when the slope is larger than the set slope, and otherwise, judging that the target object is normal in power consumption.
In a second aspect of the embodiment of the present invention, when the slope is greater than the set slope, the determining that the target object is abnormal in power consumption includes:
when the slope is larger than a set slope, acquiring whether the lowest value of the descending trend band is lower than a set threshold value;
when the minimum value is lower than a set threshold value, detecting whether an abnormal application instruction of a target object is received, and if the abnormal application instruction is not received, sending an abnormal inquiry message to the target object;
and when the minimum value is not lower than a set threshold value, judging that the target object is abnormal in power consumption.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, processing the electricity consumption data to determine whether the electricity consumption of the target object is abnormal includes:
dividing the electricity utilization data into first data and second data, generating an electricity utilization distribution curve of a target object based on the first data, and correcting the electricity utilization distribution curve by using the second data; the electricity consumption distribution curve comprises the relation between different time periods and electricity consumption in different seasons;
and comparing the electricity consumption data in any time period with the electricity consumption distribution curve, and judging that the electricity consumption of the target object is abnormal when the electricity consumption data exceeds the range of the electricity consumption distribution curve.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the method further includes:
after the target object is marked as an electricity larceny prevention early warning object, the electricity larceny grade of the target object is rated based on the operation parameters of the ammeter and the behavior parameters of the user;
and acquiring corresponding electricity stealing penalties based on different electricity stealing grades, and sending the electricity stealing penalty generation notification message to a target object.
In a second aspect of the embodiment of the present invention, the rating the electricity theft level of the target object based on the electricity meter operation parameter and the user behavior parameter includes:
acquiring all historical electricity utilization data of an electricity utilization monitoring area where a target object is located, and generating electricity utilization thresholds of the electricity utilization monitoring area in different time periods based on the historical electricity utilization data;
calculating the electricity consumption value of the target object exceeding the electricity consumption threshold according to the electricity consumption data of the target object acquired by the ammeter operation parameters;
setting a plurality of numerical value evaluation sections, and dividing the target object into corresponding numerical value evaluation sections according to the electricity consumption values so as to determine the electricity stealing level of the target object.
In a second aspect of the embodiment of the present invention, setting a plurality of value evaluation intervals, dividing the target object into corresponding value evaluation intervals according to the electricity consumption value to determine the electricity theft level of the target object includes:
setting the numerical range intervals with the same interval as numerical value evaluation intervals, and distributing the numerical value evaluation intervals to the electricity stealing grades corresponding to different numerical value evaluation intervals;
acquiring an electricity consumption value of a target object, and determining a value evaluation interval corresponding to the electricity consumption value;
and if so, the electricity stealing level corresponding to the first-level electricity consumption value is increased upwards.
A third aspect of an embodiment of the present invention discloses an electronic device, including: a memory storing executable program code; a processor coupled to the memory; the processor invokes the executable program code stored in the memory for executing the electricity larceny prevention analysis method disclosed in the first aspect of the embodiment of the present invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the electricity larceny prevention analysis method disclosed in the first aspect of the embodiments of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, different electricity utilization areas are monitored in a region-by-region manner, whether electricity utilization is abnormal is judged based on the electricity utilization characteristics of the electricity utilization areas and the electricity utilization data of users, and whether electricity stealing possibility of a target object exists is judged by further combining the behavior parameters of the users, so that automatic and intelligent electricity larceny prevention analysis is performed, inconvenience of manual regular check is avoided, analysis and early warning can be performed timely, and related measure generation can be performed in advance.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an electricity larceny prevention analysis method disclosed in an embodiment of the invention;
FIG. 2 is a flow chart of another method for analyzing fraudulent use of electricity according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for analyzing fraudulent use of electricity according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electricity larceny prevention analysis device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that the terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present invention are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. 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 or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses an electricity larceny prevention analysis method, an apparatus, an electronic device and a storage medium, wherein different electricity utilization areas are monitored in a region division manner, whether electricity utilization is abnormal is judged based on electricity utilization characteristics of the electricity utilization areas and electricity utilization data of users, and whether electricity larceny possibility exists in a target object is judged by further combining with behavior parameters of the users, so that automatic and intelligent electricity larceny prevention analysis is performed, inconvenience of manual regular check is avoided, analysis early warning can be performed timely, and related measures can be generated in advance.
Example 1
Referring to fig. 1, fig. 1 is a flow chart of an electricity larceny prevention analysis method according to an embodiment of the invention. The execution main body of the method described in the embodiment of the invention is an execution main body composed of software or/and hardware, and the execution main body can receive related information in a wired or/and wireless mode and can send a certain instruction. Of course, it may also have certain processing and storage functions. The execution body may control a plurality of devices, such as a remote physical server or cloud server and related software, or may be a local host or server and related software that performs related operations on a device that is located somewhere, etc. In some scenarios, multiple storage devices may also be controlled, which may be located in the same location or in different locations than the devices.
As shown in fig. 1, the electricity larceny prevention analysis method includes the steps of:
101. dividing the electricity consumption area to form a plurality of electricity consumption monitoring areas, and carrying out electricity consumption monitoring on all target objects in each electricity consumption monitoring area.
The electricity consumption area of the embodiment refers to a relatively large electricity consumption range, such as a city, or one of the areas in a city, and possibly a street, etc. The power consumption monitoring area formed by division is a power consumption range which is relatively smaller than that of the power consumption area, such as a residential area. And the target object is each user in the electricity consumption monitoring area, and corresponds to an ammeter terminal.
102. And collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters.
In the embodiment, the operation parameters of the electric meter are mainly the data change of the electricity consumption, and the electricity consumption change in the two moments can be counted based on the electricity consumption data collected at one moment and the electricity consumption data collected at the next moment.
103. And processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has a flip action or not according to the user action parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip action occurs.
Judging whether the electricity consumption abnormality exists according to the electricity consumption data, further determining whether the target object has possibility of electricity larceny according to the user behavior parameters, and further determining whether the target object is marked as an electricity larceny prevention early warning object.
In another example, fig. 2 shows a flow chart of another method for analyzing electricity larceny in this embodiment, and as shown in fig. 2, the method for analyzing electricity larceny includes:
201. dividing the electricity consumption area to form a plurality of electricity consumption monitoring areas, and carrying out electricity consumption monitoring on all target objects in each electricity consumption monitoring area.
202. And collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters.
203. And generating an electricity distribution curve corresponding to the target object according to the electricity consumption data, and dividing the electricity distribution curve into a plurality of sections of ascending trend wave bands and descending trend wave bands.
Because the user can certainly generate fluctuation in the power utilization process in different time periods, namely the power utilization quantity value can float and change, particularly the power utilization quantity can enter an ascending trend from spring to summer, and the power utilization quantity can enter a descending trend from summer to autumn and winter. For some office families, no one is at home in the daytime, so the power consumption is greatly reduced in the daytime, and the power consumption is increased at night.
204. And processing the descending trend wave band, calculating the slope of the descending trend wave band, judging that the target object is abnormal in power consumption when the slope is larger than the set slope, and otherwise, judging that the target object is normal in power consumption.
When the slope is greater than the set slope, determining that the target object is abnormal in power consumption includes: when the slope is larger than a set slope, acquiring whether the lowest value of the descending trend band is lower than a set threshold value; when the minimum value is lower than a set threshold value, detecting whether an abnormal application instruction of a target object is received, and if the abnormal application instruction is not received, sending an abnormal inquiry message to the target object; and when the minimum value is not lower than a set threshold value, judging that the target object is abnormal in power consumption.
205. Judging whether the electricity meter terminal has flip behavior according to the user behavior parameters, and when electricity consumption is abnormal and flip behavior occurs, marking the target object as an electricity larceny prevention early warning object.
In another example, fig. 3 shows a flow chart of another method for analyzing electricity larceny in this embodiment, and as shown in fig. 3, the method for analyzing electricity larceny includes:
301. dividing the electricity consumption area to form a plurality of electricity consumption monitoring areas, and carrying out electricity consumption monitoring on all target objects in each electricity consumption monitoring area.
302. And collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters.
303. And processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has a flip action or not according to the user action parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip action occurs.
Dividing power consumption data into first data and second data, generating a power consumption distribution curve of a target object based on the first data, and correcting the power consumption distribution curve by using the second data; the electricity consumption distribution curve comprises the relation between different time periods and electricity consumption in different seasons; and comparing the electricity consumption data in any time period with the electricity consumption distribution curve, and judging that the electricity consumption of the target object is abnormal when the electricity consumption data exceeds the range of the electricity consumption distribution curve.
304. After the target object is marked as the electricity larceny prevention early warning object, the electricity larceny grade of the target object is rated based on the operation parameters of the ammeter and the behavior parameters of the user.
Specifically, all historical electricity consumption data of an electricity consumption monitoring area where a target object is located are obtained, and electricity consumption thresholds of different time periods of the electricity consumption monitoring area are generated based on the historical electricity consumption data; calculating the electricity consumption value of the target object exceeding the electricity consumption threshold according to the electricity consumption data of the target object acquired by the ammeter operation parameters; setting a plurality of numerical value evaluation sections, and dividing the target object into corresponding numerical value evaluation sections according to the electricity consumption values so as to determine the electricity stealing level of the target object.
Setting the numerical range intervals with the same interval as numerical value evaluation intervals, and distributing the numerical value evaluation intervals to the electricity stealing grades corresponding to different numerical value evaluation intervals; acquiring an electricity consumption value of a target object, and determining a value evaluation interval corresponding to the electricity consumption value; and if so, the electricity stealing level corresponding to the first-level electricity consumption value is increased upwards.
305. And acquiring corresponding electricity stealing penalties based on different electricity stealing grades, and sending the electricity stealing penalty generation notification message to a target object.
Example two
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electricity larceny prevention analysis device according to an embodiment of the present invention. As shown in fig. 4, the electricity larceny prevention analysis device may include: the system comprises an electricity consumption object monitoring module 401, a user parameter acquisition module 402 and an electricity consumption data analysis module 403, wherein the electricity consumption object monitoring module 401: the power utilization monitoring system comprises a power utilization monitoring system, a power utilization monitoring system and a power utilization monitoring system, wherein the power utilization monitoring system is used for dividing a power utilization area to form a plurality of power utilization monitoring areas, and performing power utilization monitoring on all target objects of each power utilization monitoring area; user parameter acquisition module 402: the method comprises the steps of collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters; electricity usage data analysis module 403: and the electricity consumption data is used for processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has the flip behavior or not according to the user behavior parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip behavior occurs.
In an exemplary electricity consumption data analysis module 403, specifically, an electricity consumption distribution curve corresponding to a target object is generated according to electricity consumption data, and the electricity consumption distribution curve is divided into a plurality of ascending trend bands and descending trend bands; and processing the descending trend wave band, calculating the slope of the descending trend wave band, judging that the target object is abnormal in power consumption when the slope is larger than the set slope, and otherwise, judging that the target object is normal in power consumption.
In the above, when the slope is greater than a set slope, acquiring whether the lowest value of the descending trend band is lower than a set threshold; when the minimum value is lower than a set threshold value, detecting whether an abnormal application instruction of a target object is received, and if the abnormal application instruction is not received, sending an abnormal inquiry message to the target object; and when the minimum value is not lower than a set threshold value, judging that the target object is abnormal in power consumption.
In another exemplary electricity data analysis module 403, electricity data is specifically divided into first data and second data, an electricity distribution curve of a target object is generated based on the first data, and the electricity distribution curve is corrected using the second data; the electricity consumption distribution curve comprises the relation between different time periods and electricity consumption in different seasons; and comparing the electricity consumption data in any time period with the electricity consumption distribution curve, and judging that the electricity consumption of the target object is abnormal when the electricity consumption data exceeds the range of the electricity consumption distribution curve.
The embodiment also comprises a power stealing level analysis module which is used for evaluating the power stealing level of the target object based on the operation parameters of the ammeter and the behavior parameters of the user after marking the target object as the power stealing prevention early warning object; and acquiring corresponding electricity stealing penalties based on different electricity stealing grades, and sending the electricity stealing penalty generation notification message to a target object.
In the above, the step of evaluating the electricity theft level of the target object based on the electricity meter operation parameter and the user behavior parameter includes: acquiring all historical electricity utilization data of an electricity utilization monitoring area where a target object is located, and generating electricity utilization thresholds of the electricity utilization monitoring area in different time periods based on the historical electricity utilization data; calculating the electricity consumption value of the target object exceeding the electricity consumption threshold according to the electricity consumption data of the target object acquired by the ammeter operation parameters; setting a plurality of numerical value evaluation sections, and dividing the target object into corresponding numerical value evaluation sections according to the electricity consumption values so as to determine the electricity stealing level of the target object.
Further, setting the numerical range intervals with the same interval as numerical value evaluation intervals, and distributing the numerical value evaluation intervals to the electricity stealing grades corresponding to different numerical value evaluation intervals; acquiring an electricity consumption value of a target object, and determining a value evaluation interval corresponding to the electricity consumption value; and if so, the electricity stealing level corresponding to the first-level electricity consumption value is increased upwards.
Example III
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the invention. The electronic device may be a computer, a server, or the like, and of course, may also be an intelligent device such as a mobile phone, a tablet computer, a monitor terminal, or the like, and an image acquisition device having a processing function. As shown in fig. 5, the electronic device may include:
a memory 501 in which executable program codes are stored;
a processor 502 coupled to the memory 501;
wherein the processor 502 invokes executable program code stored in the memory 501 to perform some or all of the steps in the electricity larceny prevention analysis method in the first embodiment.
The embodiment of the invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute part or all of the steps in the electricity larceny prevention analysis method in the first embodiment.
The embodiment of the invention also discloses a computer program product, wherein when the computer program product runs on a computer, the computer is caused to execute part or all of the steps in the electricity larceny prevention analysis method in the first embodiment.
The embodiment of the invention also discloses an application release platform, wherein the application release platform is used for releasing the computer program product, and the computer is caused to execute part or all of the steps in the electricity larceny prevention analysis method in the first embodiment when the computer program product runs on the computer.
In various embodiments of the present invention, it should be understood that the size of the sequence numbers of the processes does not mean that the execution sequence of the processes is necessarily sequential, and the execution sequence of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present invention, or a part contributing to the prior art or all or part of the technical solution, may be embodied in the form of a software product stored in a memory, comprising several requests for a computer device (which may be a personal computer, a server or a network device, etc., in particular may be a processor in a computer device) to execute some or all of the steps of the method according to the embodiments of the present invention.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a, from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information.
Those of ordinary skill in the art will appreciate that some or all of the steps of the various methods of the described embodiments may be implemented by hardware associated with a program that may be stored in a computer-readable storage medium, including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), or other optical disk Memory, magnetic disk Memory, tape Memory, or any other medium capable of being used to carry or store data that is readable by a computer.
The above describes the electricity larceny prevention analysis method, the device, the electronic equipment and the storage medium disclosed in the embodiments of the present invention in detail, and specific examples are applied to illustrate the principles and the implementation of the present invention, and the above description of the embodiments is only used to help understand the method and the core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. A method of analyzing for the protection from electricity theft, comprising:
dividing the electricity consumption area to form a plurality of electricity consumption monitoring areas, and carrying out electricity consumption monitoring on all target objects in each electricity consumption monitoring area;
collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters;
and processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has a flip action or not according to the user action parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip action occurs.
2. The electricity larceny prevention analysis method of claim 1 wherein processing the electricity usage data to determine if the target object is abnormal comprises:
generating an electricity distribution curve corresponding to the target object according to the electricity data, and dividing the electricity distribution curve into a plurality of sections of ascending trend wave bands and descending trend wave bands;
and processing the descending trend wave band, calculating the slope of the descending trend wave band, judging that the target object is abnormal in power consumption when the slope is larger than the set slope, and otherwise, judging that the target object is normal in power consumption.
3. The method of claim 2, wherein determining that the target object is abnormal when the slope is greater than a set slope comprises:
when the slope is larger than a set slope, acquiring whether the lowest value of the descending trend band is lower than a set threshold value;
when the minimum value is lower than a set threshold value, detecting whether an abnormal application instruction of a target object is received, and if the abnormal application instruction is not received, sending an abnormal inquiry message to the target object;
and when the minimum value is not lower than a set threshold value, judging that the target object is abnormal in power consumption.
4. The electricity larceny prevention analysis method of claim 1 wherein processing the electricity usage data to determine if the target object is abnormal comprises:
dividing the electricity utilization data into first data and second data, generating an electricity utilization distribution curve of a target object based on the first data, and correcting the electricity utilization distribution curve by using the second data; the electricity consumption distribution curve comprises the relation between different time periods and electricity consumption in different seasons;
and comparing the electricity consumption data in any time period with the electricity consumption distribution curve, and judging that the electricity consumption of the target object is abnormal when the electricity consumption data exceeds the range of the electricity consumption distribution curve.
5. The method of claim 1, further comprising:
after the target object is marked as an electricity larceny prevention early warning object, the electricity larceny grade of the target object is rated based on the operation parameters of the ammeter and the behavior parameters of the user;
and acquiring corresponding electricity stealing penalties based on different electricity stealing grades, and sending the electricity stealing penalty generation notification message to a target object.
6. The electricity larceny prevention analysis method of claim 5 wherein said assessing the level of electricity larceny of the target object based on the electricity meter operating parameters and the user behavioral parameters comprises:
acquiring all historical electricity utilization data of an electricity utilization monitoring area where a target object is located, and generating electricity utilization thresholds of the electricity utilization monitoring area in different time periods based on the historical electricity utilization data;
calculating the electricity consumption value of the target object exceeding the electricity consumption threshold according to the electricity consumption data of the target object acquired by the ammeter operation parameters;
setting a plurality of numerical value evaluation sections, and dividing the target object into corresponding numerical value evaluation sections according to the electricity consumption values so as to determine the electricity stealing level of the target object.
7. The electricity larceny prevention analysis method of claim 6 wherein setting a plurality of value evaluation intervals, dividing the target object into corresponding value evaluation intervals according to the electricity consumption value to determine the electricity larceny level of the target object, comprises:
setting the numerical range intervals with the same interval as numerical value evaluation intervals, and distributing the numerical value evaluation intervals to the electricity stealing grades corresponding to different numerical value evaluation intervals;
acquiring an electricity consumption value of a target object, and determining a value evaluation interval corresponding to the electricity consumption value;
and if so, the electricity stealing level corresponding to the first-level electricity consumption value is increased upwards.
8. An electricity larceny prevention analysis device, comprising:
the electricity consumption object monitoring module: the power utilization monitoring system comprises a power utilization monitoring system, a power utilization monitoring system and a power utilization monitoring system, wherein the power utilization monitoring system is used for dividing a power utilization area to form a plurality of power utilization monitoring areas, and performing power utilization monitoring on all target objects of each power utilization monitoring area;
and the user parameter acquisition module is used for: the method comprises the steps of collecting ammeter operation parameters and user behavior parameters of a target object, and generating electricity utilization data corresponding to the target object according to the ammeter operation parameters;
and the electricity consumption data analysis module is used for: and the electricity consumption data is used for processing the electricity consumption data to judge whether the electricity consumption of the target object is abnormal or not, judging whether the electricity meter terminal has the flip behavior or not according to the user behavior parameters, and marking the target object as an electricity larceny prevention early warning object when the electricity consumption is abnormal and the flip behavior occurs.
9. An electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor invokes the executable program code stored in the memory for performing the electricity larceny prevention analysis method of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the electricity larceny prevention analysis method according to any one of claims 1 to 7.
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