CN111126785A - Electricity stealing behavior identification method and device - Google Patents
Electricity stealing behavior identification method and device Download PDFInfo
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- CN111126785A CN111126785A CN201911205953.0A CN201911205953A CN111126785A CN 111126785 A CN111126785 A CN 111126785A CN 201911205953 A CN201911205953 A CN 201911205953A CN 111126785 A CN111126785 A CN 111126785A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The application provides a method and a device for identifying electricity stealing behavior, wherein the method comprises the following steps: acquiring differential event record information of a user, wherein the differential event record information comprises: event occurrence period information; determining the quantity of target differential event record information from the differential event record information according to the event occurrence time period information, wherein the target differential event record information is the differential event record information with intersection between the event occurrence time period information and the target monitoring time period; calculating the ratio of the number of target differential event record information to the number of total differential event record information; and comparing the ratio with a preset event concentration degree threshold value so as to obtain a power stealing behavior identification result of the user according to the comparison result. According to the method and the device, statistics is carried out through the long-term differential event records of the same user, and whether the differential event is caused by electricity stealing behaviors or wrong wiring is judged according to the distribution concentration degree of the occurrence time of the differential event in one day so as to improve the accuracy of positioning analysis of the electricity stealing behaviors.
Description
Technical Field
The application relates to the technical field of electric power, in particular to a method and a device for identifying electricity stealing behaviors.
Background
The electricity stealing behavior refers to the behavior of using illegal means to not measure or less measure the electricity consumption with the purposes of illegally occupying the electric energy and not paying or less paying the electricity fee. Due to the driving of benefits, electricity stealing behaviors, especially those of large users, are very common, endanger the safety of a power grid and bring huge economic losses to the nation.
In the analysis of the location of the behavior of electricity stealing by low-voltage users, the analysis of differential events is an important criterion. In practical applications, however, miswiring of the meter (common neutral, etc.) can also lead to meter differential events. The current situation brings great interference to the positioning analysis of the electricity stealing behavior, and the technical problem of high misjudgment rate of the existing electricity stealing behavior is caused.
Disclosure of Invention
The application provides a method and a device for identifying electricity stealing behaviors, which are used for solving the technical problem that the existing electricity stealing behavior is high in misjudgment rate.
In view of the above, a first aspect of the present application provides a method for identifying electricity stealing behavior, including:
acquiring differential event record information of a user, wherein the differential event record information comprises: event occurrence period information;
determining the quantity of target differential event record information from the differential event record information according to the event occurrence time interval information, wherein the target differential event record information is the differential event record information with intersection between the event occurrence time interval information and the target monitoring time interval;
calculating the ratio of the number of the target differential event record information to the number of the total differential event record information;
and comparing the ratio with a preset event concentration degree threshold value so as to obtain a power stealing behavior identification result of the user according to the comparison result.
Optionally, the acquiring the differential event record information of the user further comprises:
the time of day is divided into a plurality of monitoring periods.
Optionally, the determining, according to the event occurrence period information, the number of target differential event record information from the differential event record information specifically includes:
s1: according to the event occurrence time in the event occurrence time period information, counting a first differential event record of which the event occurrence time is in the current monitoring time period;
and/or
According to the event end time in the event occurrence time period information, counting a second differential event record of which the event end time is in the current monitoring time period;
s2: step S1 is executed in a circulating manner until the first differential event record and/or the second differential event record corresponding to each monitoring time interval are obtained;
s3: setting a monitoring time period with the largest number of first differential event records as a first target monitoring time period according to a preset target time period number, and counting the sum of the number of the differential event record information in the first target monitoring time period to obtain a first target differential event record information number;
and/or
And setting a monitoring time period with the largest number of second differential event records as a second target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the second target monitoring time period to obtain the second target differential event record information number.
Optionally, the calculating a ratio of the target differential event record information quantity to the total differential event record information quantity specifically includes:
calculating the ratio of the first target differential event record information quantity to the total differential event record information quantity to obtain a first ratio;
and/or
And calculating the ratio of the second target differential event record information quantity to the total differential event record information quantity to obtain a second ratio.
Optionally, comparing the ratio with a preset event concentration degree threshold, so as to obtain the electricity stealing behavior identification result of the user according to the comparison result specifically includes:
comparing the first ratio with a preset event concentration degree threshold, and if the first ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event;
and/or
And comparing the second ratio with a preset event concentration degree threshold, and if the second ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event.
A second aspect of the present application provides an electricity stealing behavior recognizing apparatus, including:
a differential event acquisition unit for acquiring differential event record information of a user, wherein the differential event record information includes: event occurrence period information;
the differential event screening unit is used for determining the number of target differential event record information from the differential event record information according to the event occurrence time interval information, wherein the target differential event record information is the differential event record information with intersection between the event occurrence time interval information and a target monitoring time interval;
an event quantity ratio calculation unit that calculates a ratio of the number of target differential event record information to the number of total differential event record information;
and the identification result output unit is used for comparing the ratio with a preset event concentration degree threshold so as to obtain an electricity stealing behavior identification result of the user according to the comparison result.
Optionally, the method further comprises:
a monitoring period setting unit for dividing the day period into a plurality of monitoring periods.
Optionally, the differential event screening unit specifically includes:
the first differential event recording subunit is used for counting a first differential event record of which the event occurrence time is in the current monitoring time period according to the event occurrence time in the event occurrence time period information;
and/or
The second differential event recording subunit counts second differential event records of which the event end time is in the current monitoring time period according to the event end time in the event occurrence time period information;
the circulation control subunit is used for circularly executing the first differential event recording unit and/or the second differential event recording unit until the first differential event record and/or the second differential event record corresponding to each monitoring time interval are obtained;
the first target differential event counting subunit is used for setting a monitoring time period with the largest number of first differential event records as a first target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the first target monitoring time period to obtain the number of the first target differential event record information;
and/or
And the second target differential event counting subunit is used for setting the monitoring time period with the largest number of second differential event records as a second target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the second target monitoring time period to obtain the number of the second target differential event record information.
Optionally, the event quantity ratio calculating unit specifically includes:
the first ratio operator unit is used for calculating the ratio of the number of the first target differential event recorded information to the number of the total differential event recorded information to obtain a first ratio;
and/or
And the second ratio operator unit is used for calculating the ratio of the number of the second target differential event recorded information to the number of the total differential event recorded information to obtain a second ratio.
Optionally, the identification result output unit specifically includes:
the first output subunit is used for comparing the first ratio with a preset event concentration degree threshold, and if the first ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event;
and/or
And the second output subunit is used for comparing the second ratio with a preset event concentration degree threshold, and if the second ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides an electricity stealing behavior identification method, which comprises the following steps: acquiring differential event record information of a user, wherein the differential event record information comprises: event occurrence period information; determining the quantity of target differential event record information from the differential event record information according to the event occurrence time period information, wherein the target differential event record information is the differential event record information with intersection between the event occurrence time period information and the target monitoring time period; calculating the ratio of the number of target differential event record information to the number of total differential event record information; and comparing the ratio with a preset event concentration degree threshold value so as to obtain a power stealing behavior identification result of the user according to the comparison result.
According to the method and the device, statistics is carried out through the long-term differential event records of the same user, and whether the differential event is caused by electricity stealing behaviors or wrong wiring is judged according to the distribution concentration degree of the occurrence time of the differential event in one day so as to improve the accuracy of positioning analysis of the electricity stealing behaviors.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flow chart of a first embodiment of a method for identifying electricity stealing behavior provided by the present application;
fig. 2 is a schematic flow chart of a second embodiment of a method for identifying electricity stealing behavior provided by the present application;
fig. 3 is a schematic structural diagram of a first embodiment of an electricity stealing behavior recognition apparatus provided by the present application.
Detailed Description
The embodiment of the application provides a method and a device for identifying electricity stealing behaviors, which are used for solving the technical problem that the existing electricity stealing behavior is high in misjudgment rate.
It should be noted that, in the analysis of location of electricity stealing behavior of low-voltage users, the differential event is an important criterion (mainly used for judging whether the user connects to the public line privately). The differential event of the electric meter means that the zero line current and the live line current of the electric meter are not equal at the same moment, and the absolute value of the zero line current is larger than that of the live line current. In practical applications, however, miswiring of the meter (common neutral, etc.) can also lead to meter differential events. Due to the problems of construction quality and management, the phenomenon that the current electric meters share the zero line exists in a large quantity, and the electric meters are difficult to modify one by one, so that the current situation brings great interference to positioning analysis of electricity stealing behaviors, and a high misjudgment rate is caused.
In addition, the differential events caused by the above two causes are difficult to distinguish by a single event or a small number of events. Only if they can be analyzed on the basis of a large amount of long-term data, they can be recognized as having different laws. In short, although each electricity stealing user has different behavior rules, for a single electricity stealing user, the individual electricity stealing user generally has a relatively fixed behavior pattern, that is, a relatively fixed behavior rule, specifically, the starting time or the ending time of electricity stealing by the user is generally fixed within one or a small number of small ranges in a day, in general, the user generally fixes electricity stealing at one or a few time intervals every day, and as long-term data time span required by analysis is large, and the large number of metering devices is added, huge workload is brought to analysts.
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only a part of the embodiments of the present application, and not all of the 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.
Referring to fig. 1, a first embodiment of the present application provides a method for identifying electricity stealing behavior, including:
and step 101, acquiring differential event record information of a user.
It should be noted that, first, differential event record information of a target user to be detected is obtained, where the differential event record information includes: event occurrence period information.
The differential event record information can be obtained from the differential meter device of the target user, the differential meter is an electric meter with the differential event record function, and when the differential event of the electric meter occurs, the occurrence time and the ending time, namely the time occurrence period information, of the differential event can be recorded.
And 102, determining the number of target differential event record information from the differential event record information according to the event occurrence time interval information.
It should be noted that, after obtaining the differential event record information of the target user and the event occurrence period information corresponding to each piece of differential event record information, matching the event occurrence period information of the differential event record with the set and determined target monitoring period, counting if the differential event record belongs to the target differential event record, and counting the number of the target differential event record information so as to be used in the subsequent calculation step and determination step.
The target differential event record information is differential event record information with intersection between event occurrence time interval information and target monitoring time interval.
And 103, calculating the ratio of the number of the target differential event record information to the number of the total differential event record information.
It should be noted that, a ratio of the number of the target differential event record information to the total differential event record information is calculated, that is, a ratio of the target differential event having an intersection with the target monitoring time interval to the all-day time interval is calculated, so as to obtain a concentration degree of the differential event in the target monitoring time interval.
And step 104, comparing the ratio with a preset event concentration degree threshold value so as to obtain a power stealing behavior identification result of the user according to the comparison result.
It should be noted that, then, the ratio representing the concentration degree of the differential event is compared with the preset threshold value of the concentration degree of the event, so as to output the corresponding recognition result of the electricity stealing behavior according to the comparison result.
Because the differential event caused by electricity stealing behavior is different from the differential event caused by the electricity meter sharing the zero line, the electricity stealing behavior of an electricity stealing user often has regularity, and the characteristic can be shown in a long-term differential event record, namely that the user generally steals electricity at one or a plurality of fixed time intervals every day, and the differential event caused by the electricity meter sharing the zero line is random. Therefore, the identification method of the embodiment can quickly and objectively reflect the occurrence rule of the differential event of the target user, further judge whether the differential event of the target user is caused by the electricity stealing behavior according to the output identification result, and eliminate the interference factor of the phenomenon of sharing the zero line, thereby solving the technical problem of high misjudgment rate of the existing electricity stealing behavior.
The above is a detailed description of a first embodiment of a method for identifying electricity stealing behavior provided by the present application, and the following is a detailed description of a second embodiment of a method for identifying electricity stealing behavior provided by the present application.
Referring to fig. 2, a second embodiment of the present application provides a method for identifying electricity stealing behavior, including:
It should be noted that, in this embodiment, all differential events are recorded, the dates thereof are ignored, only the time thereof (00:00:00-23:59:59) is analyzed, which is equivalent to regarding all events as occurring within one day, and the distribution concentration of the occurring time and the ending time within one day is analyzed, for example, if the day is divided into two monitoring periods, the two monitoring periods can be divided into [00:00:00,11:59:59] and [12:00:00,23:59:59], of course, the number of the monitoring periods and the length of each monitoring period can be set by the user, and no specific description is given here.
It should be noted that, the differential event record information of the target user to be detected is acquired, where the differential event record information includes: event occurrence period information, and the event occurrence period information is composed of an event occurrence time and an event end time.
The differential event record information can be obtained from the differential meter device of the target user, the differential meter is an electric meter with the differential event record function, and when the differential event of the electric meter occurs, the occurrence time and the ending time, namely the time occurrence period information, of the differential event can be recorded.
and step 207, comparing the first ratio with a preset event concentration degree threshold, and if the first ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event.
In addition, the present embodiment further includes the execution steps in parallel with steps 203 to 207. Specifically comprises
and step 210, setting a monitoring time period with the largest number of second differential event records as a second target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the second target monitoring time period to obtain the number of the second target differential event record information.
After the differential event record information of the target user and the event occurrence period information corresponding to each piece of differential event record information are acquired, if the differential event record belongs to the first target differential event record or the second target differential event record, counting is performed, and the number of the first target differential event record information or the number of the second target differential event record information is counted for use in the subsequent calculation step and determination step according to that the event occurrence period information (occurrence time and/or end time) of the differential event record is within the set and determined target monitoring period.
The target differential event record information is differential event record information with intersection between event occurrence time interval information and target monitoring time interval.
And step 211, calculating a ratio of the number of the second target differential event record information to the number of the total differential event record information to obtain a second ratio.
And step 212, comparing the second ratio with a preset event concentration degree threshold, and if the second ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event.
It should be noted that, in the present embodiment, steps 203 to 207 and steps 208 to 212 belong to the steps of the parallel scheme, wherein steps 203 to 207 are to count the occurrence time of the differential event, and calculate the concentration degree of the occurrence time of the event, so as to determine whether the differential event record has regularity, thereby obtaining the identification result. In steps 208 to 212, the end time of the differential event is counted, and the concentration degree of the end time of the event is calculated to determine whether the record of the differential event has regularity, so as to obtain the recognition result. In the embodiment, the analysis of the occurrence time and the ending time is performed independently, so in practical application, one of two parallel indexes can be selected, or the two indexes can be executed synchronously, and if synchronous execution is adopted, the differential event is determined to be caused by the electricity stealing behavior as long as the comparison result of one of the indexes is greater than the corresponding threshold value.
It can be understood that, the number of the monitoring periods and the length of each monitoring period are the same, the specific values of the target period number (not greater than the total number of the monitoring periods) and the event concentration degree threshold in this embodiment may also be set by the user, and are not described in detail herein.
The above is a detailed description of the second embodiment of a method for identifying electricity stealing behavior provided by the present application, and the following is a detailed description of the first embodiment of an apparatus for identifying electricity stealing behavior provided by the present application.
Referring to fig. 3, a second aspect of the present application provides an electricity stealing behavior recognizing apparatus, including:
a differential event acquiring unit 301, configured to acquire differential event record information of a user, where the differential event record information includes: event occurrence period information;
the differential event screening unit 302 is configured to determine the number of target differential event record information from the differential event record information according to the event occurrence time period information, where the target differential event record information is the differential event record information in which the event occurrence time period information and the target monitoring time period have an intersection;
an event amount ratio calculation unit 303 that calculates a ratio of the number of target differential event record information to the number of total differential event record information;
and the identification result output unit 304 is used for comparing the ratio with a preset event concentration degree threshold value so as to obtain a power stealing behavior identification result of the user according to the comparison result.
Further, still include:
a monitoring period setting unit 300 for dividing the time of day into a plurality of monitoring periods.
Further, the differential event screening unit 302 specifically includes:
the first differential event recording subunit is used for counting a first differential event record of which the event occurrence time is in the current monitoring time period according to the event occurrence time in the event occurrence time period information;
and/or
The second differential event recording subunit counts second differential event records of which the event end time is in the current monitoring time period according to the event end time in the event occurrence time period information;
the circulation control subunit is used for circularly executing the first differential event recording unit and/or the second differential event recording unit until the first differential event record and/or the second differential event record corresponding to each monitoring time interval are obtained;
the first target differential event counting subunit is used for setting a monitoring time period with the largest number of first differential event records as a first target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the first target monitoring time period to obtain the first target differential event record information number;
and/or
And the second target differential event counting subunit is used for setting the monitoring time period with the largest number of second differential event records as a second target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the second target monitoring time period to obtain the second target differential event record information number.
Further, the event quantity ratio calculation unit 303 specifically includes:
the first ratio operator unit is used for calculating the ratio of the number of the first target differential event recorded information to the number of the total differential event recorded information to obtain a first ratio;
and/or
And the second ratio operator unit is used for calculating the ratio of the number of the second target differential event recorded information to the number of the total differential event recorded information to obtain a second ratio.
Further, the recognition result output unit 304 specifically includes:
the first output subunit is used for comparing the first ratio with a preset event concentration degree threshold, and if the first ratio is greater than the event concentration degree threshold, outputting a differential event belonging to a power stealing behavior event;
and/or
And the second output subunit is used for comparing the second ratio with a preset event concentration degree threshold, and if the second ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to the electricity stealing behavior event.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of 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, devices or units, and may be in an electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, 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, for example, capable of operation in sequences other than those illustrated or otherwise 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.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the 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 invention 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 invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method for identifying electricity stealing behavior, comprising:
acquiring differential event record information of a user, wherein the differential event record information comprises: event occurrence period information;
determining the quantity of target differential event record information from the differential event record information according to the event occurrence time interval information, wherein the target differential event record information is the differential event record information with intersection between the event occurrence time interval information and the target monitoring time interval;
calculating the ratio of the number of the target differential event record information to the number of the total differential event record information;
and comparing the ratio with a preset event concentration degree threshold value so as to obtain a power stealing behavior identification result of the user according to the comparison result.
2. The method of claim 1, wherein the step of obtaining the differential event record information of the user further comprises:
the time of day is divided into a plurality of monitoring periods.
3. The method according to claim 2, wherein the determining the number of target differential event records from the differential event records according to the event occurrence period information specifically comprises:
s1: according to the event occurrence time in the event occurrence time period information, counting a first differential event record of which the event occurrence time is in the current monitoring time period;
and/or
According to the event end time in the event occurrence time period information, counting a second differential event record of which the event end time is in the current monitoring time period;
s2: step S1 is executed in a circulating manner until the first differential event record and/or the second differential event record corresponding to each monitoring time interval are obtained;
s3: setting a monitoring time period with the largest number of first differential event records as a first target monitoring time period according to a preset target time period number, and counting the sum of the number of the differential event record information in the first target monitoring time period to obtain a first target differential event record information number;
and/or
And setting a monitoring time period with the largest number of second differential event records as a second target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the second target monitoring time period to obtain the second target differential event record information number.
4. A method as claimed in claim 3, wherein said calculating the ratio of the number of target differential event records to the total number of differential event records specifically comprises:
calculating the ratio of the first target differential event record information quantity to the total differential event record information quantity to obtain a first ratio;
and/or
And calculating the ratio of the second target differential event record information quantity to the total differential event record information quantity to obtain a second ratio.
5. The method as claimed in claim 4, wherein comparing the ratio with a preset threshold of event concentration degree, so as to obtain the identification result of electricity stealing behavior of the user according to the comparison result specifically comprises:
comparing the first ratio with a preset event concentration degree threshold, and if the first ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event;
and/or
And comparing the second ratio with a preset event concentration degree threshold, and if the second ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event.
6. An electricity stealing behavior recognizing device, comprising:
a differential event acquisition unit for acquiring differential event record information of a user, wherein the differential event record information includes: event occurrence period information;
the differential event screening unit is used for determining the number of target differential event record information from the differential event record information according to the event occurrence time interval information, wherein the target differential event record information is the differential event record information with intersection between the event occurrence time interval information and a target monitoring time interval;
an event quantity ratio calculation unit that calculates a ratio of the number of target differential event record information to the number of total differential event record information;
and the identification result output unit is used for comparing the ratio with a preset event concentration degree threshold so as to obtain an electricity stealing behavior identification result of the user according to the comparison result.
7. An electricity stealing behavior recognizing device according to claim 6, further comprising:
a monitoring period setting unit for dividing the day period into a plurality of monitoring periods.
8. The device according to claim 7, wherein the differential event screening unit comprises:
the first differential event recording subunit is used for counting a first differential event record of which the event occurrence time is in the current monitoring time period according to the event occurrence time in the event occurrence time period information;
and/or
The second differential event recording subunit counts second differential event records of which the event end time is in the current monitoring time period according to the event end time in the event occurrence time period information;
the circulation control subunit is used for circularly executing the first differential event recording unit and/or the second differential event recording unit until the first differential event record and/or the second differential event record corresponding to each monitoring time interval are obtained;
the first target differential event counting subunit is used for setting a monitoring time period with the largest number of first differential event records as a first target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the first target monitoring time period to obtain the number of the first target differential event record information;
and/or
And the second target differential event counting subunit is used for setting the monitoring time period with the largest number of second differential event records as a second target monitoring time period according to the preset target time period number, and counting the sum of the number of the differential event record information in the second target monitoring time period to obtain the number of the second target differential event record information.
9. The device according to claim 8, wherein the event quantity ratio calculating unit specifically includes:
the first ratio operator unit is used for calculating the ratio of the number of the first target differential event recorded information to the number of the total differential event recorded information to obtain a first ratio;
and/or
And the second ratio operator unit is used for calculating the ratio of the number of the second target differential event recorded information to the number of the total differential event recorded information to obtain a second ratio.
10. The device for identifying electricity stealing behavior according to claim 9, wherein the identification result output unit specifically comprises:
the first output subunit is used for comparing the first ratio with a preset event concentration degree threshold, and if the first ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event;
and/or
And the second output subunit is used for comparing the second ratio with a preset event concentration degree threshold, and if the second ratio is greater than the event concentration degree threshold, outputting that the differential event belongs to a power stealing behavior event.
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