CN113447712A - Method for discovering electricity stealing of special variable metering device through multi-dimensional combination - Google Patents
Method for discovering electricity stealing of special variable metering device through multi-dimensional combination Download PDFInfo
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Abstract
The invention provides a method for discovering electricity stealing of a special variable metering device by combining multiple dimensions, which comprises the following steps: analyzing to obtain common characteristics of a user when the user conducts short-circuit shunting electricity stealing on the secondary side of the current transformer, wherein the common characteristics comprise reduction of electricity consumption, power failure operation and increase of line loss rate; respectively determining the sampling periods of power consumption, power failure operation and line loss rate; then respectively calculating and determining an electricity consumption reduction characteristic value and a first weight coefficient thereof in a sampling period of electricity consumption, an identification characteristic value indicating whether a power failure operation occurs or not in the sampling period of the power failure operation and a second weight coefficient thereof, and a line loss rate increase characteristic value and a third weight coefficient thereof in the sampling period of the line loss rate; calculating according to each characteristic value and the weight coefficient to obtain a comprehensive characteristic value; and judging whether the comprehensive characteristic value exceeds a preset threshold value, and if so, outputting a suspected electricity stealing alarm list. The method solves the problem that the current transformer secondary side short circuit shunting electricity stealing is difficult to find accurately in time in the existing method.
Description
Technical Field
The invention belongs to the technical field of metering automation, and particularly relates to a method for discovering electricity stealing of a special variable metering device through multi-dimensional combination.
Background
The special transformer metering device is a metering device installed at a user with larger power consumption, is a 'pole' for trade settlement of power supply enterprises and users, and guarantees the legal rights and interests of both power supply and power utilization parties. However, some users try to make the electric energy metering device of the power supply enterprise inaccurate or invalid so as to achieve the purpose of paying less or not paying the electricity fee. Therefore, the abnormity of the metering device can be timely and accurately found, and the accuracy and the reliability of the metering device are ensured. Common electricity stealing methods include a voltage loss method, a shunt method and the like, with the popularization and application of a metering automation system, information such as voltage, current, power, background and the like of an electric energy meter can be acquired every 15 minutes, electricity stealing behaviors of the voltage loss method can be discovered at any time, and the stage is withdrawn.
In recent three years, most of the discovered electricity stealing behaviors of the special variable metering device are shunt methods, and the common shunt method is to replace a chip resistor in a current loop of the electric energy meter to cause that the sampling current is smaller than the actual input current, thereby achieving the purpose of electricity stealing. Although this method of electricity stealing is somewhat hidden, conventional electricity inspection is difficult to find. However, the electric energy meter of the metering automation system and the electric quantity of the negative control terminal can be timely found through comparison. In addition, a shunting method is difficult to find through the existing functions of the metering automation system and routine electricity utilization inspection, namely short-circuit shunting electricity stealing on the secondary side of the current transformer.
The short-circuit shunting electricity stealing of the secondary side of the current transformer is an extremely hidden electricity stealing means, and the existing various discovery methods have obvious defects and are difficult to discover. Firstly, a current transformer and an electric energy meter are installed at different positions, and the abnormal alarm type of the load management terminal does not include the opening alarm of a lower cabinet door of the metering device; secondly, the line loss rate abnormality of the 10kV feeder line is difficult to find, the electricity stealing capacity of a single user cannot pry the line loss abnormality of the 10kV feeder line, the specific user cannot be locked even if the line loss rate abnormality of the 10kV feeder line occurs, and the line loss abnormal period is long. Thirdly, most load management terminals and the electric energy meter are connected in the same current loop, and the abnormality cannot be found through comparing the electric quantity of the electric energy meter and the electric quantity of the negative control terminal. Aiming at the electricity stealing by short-circuit shunting of the secondary side of the current transformer, the discovery means are difficult to discover accurately in time, a multidimensional combination analysis method is urgently needed, the hidden electricity stealing behaviors are discovered in time, the accurate and reliable operation of a special variable metering device is guaranteed, and the legal rights and interests of both power supply and power utilization parties are guaranteed.
Disclosure of Invention
In view of this, the invention aims to solve the problem that it is difficult to accurately find electricity stealing due to short-circuit shunting at the secondary side of the current transformer in time by using the existing methods.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides a method for discovering electricity stealing of a specific variable metering device through multi-dimensional combination, which comprises the following steps:
analyzing to obtain common characteristics of a user when the user conducts short-circuit shunting electricity stealing on the secondary side of the current transformer, wherein the common characteristics comprise reduction of power consumption, power failure operation and increase of line loss rate;
respectively determining a sampling period of power consumption, a sampling period of power failure operation and a sampling period of line loss rate according to the current period to be judged;
respectively calculating a power consumption reduction characteristic value in a sampling period of power consumption, an identification characteristic value indicating whether a power failure operation occurs in the sampling period of the power failure operation and a line loss rate increase characteristic value in the sampling period of the line loss rate based on the common characteristic;
respectively determining a first weight coefficient corresponding to the electricity consumption reduction characteristic value, a second weight coefficient corresponding to the identification characteristic value and a third weight coefficient corresponding to the line loss rate increase characteristic value;
calculating to obtain a comprehensive characteristic value according to the power consumption reduction characteristic value, the first weight coefficient, the identification characteristic value, the second weight coefficient, the line loss rate increase characteristic value and the third weight coefficient;
and judging whether the comprehensive characteristic value exceeds a preset threshold value, and if so, outputting a suspected electricity stealing alarm list.
Further, the sampling period of the used amount is specifically determined as follows:
the first power utilization period and the last complete power utilization period of the first power utilization period are marked as a third power utilization period;
the first power cycle is the current cycle to be judged.
Further, the sampling period of the line loss rate is the same as the sampling period of the used amount.
Further, the sampling period of the power failure operation is the last complete power utilization period of the first power utilization period and is marked as a second power utilization period.
Further, the electricity consumption reduction characteristic value a is specifically calculated by the following formula:
A=（A3-A1）/A3*100%
in the formula, A3For the third electricity cycle, A1Is the amount of power used for the first electricity cycle.
Further, the line loss rate increase characteristic value C is specifically calculated by the following formula:
C=（C3-C1）/C1*100%
in the formula, C3Line loss rate of the third power cycle, C1Is the line loss rate of the first power cycle.
Further, the identification characteristic value is 0 or 1, wherein 0 indicates that no power outage operation occurs in the second electricity period, and 1 indicates that a power outage operation occurs in the second electricity period.
Furthermore, the first weight coefficient and the third weight coefficient are respectively in direct proportion to the corresponding electricity consumption reduction characteristic value and the corresponding line loss rate increase characteristic value.
Further, the comprehensive characteristic value F is specifically calculated by using the following formula:
F=A*X1+B*X2+C*X3
wherein A is a power consumption reduction characteristic value, B is a mark characteristic value, C is a line loss rate increase characteristic value, and X1Is a first weight coefficient, X2Is the second weight coefficient, X3Is the third weight coefficient.
In a second aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of multi-dimensional binding discovery of variable metering device theft as in the first aspect.
In summary, the invention provides a method for discovering electricity stealing of a special variable metering device through multi-dimensional combination, and firstly, common characteristics of users who steal electricity by using a current transformer secondary side short-circuit shunting method are analyzed, so that the users have the characteristics of reduced electricity consumption, power failure operation and increased line loss rate. And then determining corresponding sampling periods according to different characteristics so as to obtain specific characteristic values of each characteristic in the sampling periods, calculating comprehensive characteristic values by combining weight coefficients corresponding to each characteristic value, and finally judging whether the electricity stealing behavior of the user occurs or not according to the comprehensive characteristic values. The method combines the power consumption condition of the user, the alarm condition of the load control management terminal on the power failure operation and the line loss rate condition of the 10kV feeder line, calculates the comprehensive characteristic value and judges the comprehensive characteristic value, and can analyze the comprehensive result according to the final comprehensive result even if the characteristic change of a certain aspect is not obvious, so that the method is more comprehensive compared with a single type of judgment method. Therefore, the problem that the current transformer secondary side short circuit shunting electricity stealing is difficult to find timely and accurately by using the existing method can be solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flow chart of a method for discovering electricity stealing of a specific variable metering device by multi-dimensional combination according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, 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 invention.
Referring to fig. 1, the present embodiment provides a method for discovering electricity stealing of a specific variable metering device by multi-dimensional combination, which includes the following steps:
s101: and analyzing to obtain common characteristics of the user when the user conducts the secondary side short circuit shunting electricity stealing of the current transformer, wherein the common characteristics comprise reduction of electricity consumption, power failure operation and increase of line loss rate.
It should be noted that, for the electricity stealing users, under the condition that the electricity utilization equipment is not changed, the electricity stealing users can show the characteristic of reducing electricity consumption, thereby achieving the purpose of paying less or not paying electricity fee; moreover, because the secondary side of the current transformer is in short circuit in an electrified way, the possibility of personal electric shock exists, and a general electricity thief cannot carry out operation in danger of life, so the characteristic of power failure operation is also shown; in addition, electricity stealing can cause the metering device to count less electricity, and the line loss output electricity of the 10kV feeder line is reduced, so that the characteristic of line loss rate increase is shown.
S102: and respectively determining the sampling period of the power consumption, the sampling period of the power failure operation and the sampling period of the line loss rate according to the current period to be judged.
It should be noted that the current cycle to be determined is a complete power utilization cycle for determining whether suspected power stealing occurs by using the multidimensional method for finding power stealing of the specific variable metering device provided by the embodiment, and the cycle to be determined may be a complete month or a complete week.
S103: and respectively calculating a power consumption reduction characteristic value in a sampling period of power consumption, an identification characteristic value indicating whether a power failure operation occurs in the sampling period of the power failure operation and a line loss rate increase characteristic value in the sampling period of the line loss rate based on the common characteristic.
S104: and respectively determining a first weight coefficient corresponding to the electricity consumption reduction characteristic value, a second weight coefficient corresponding to the identification characteristic value and a third weight coefficient corresponding to the line loss rate increase characteristic value.
S105: and calculating to obtain a comprehensive characteristic value according to the power consumption reduction characteristic value, the first weight coefficient, the identification characteristic value, the second weight coefficient, the line loss rate increase characteristic value and the third weight coefficient.
S106: and judging whether the comprehensive characteristic value exceeds a preset threshold value, if so, executing the step S107, and if not, executing the step S108.
S107: and outputting a suspected electricity stealing alarm list.
S108: and considering that electricity stealing does not occur in the current time period to be judged, and waiting for identifying the next time period.
The embodiment provides a method for discovering electricity stealing of a special variable metering device through multi-dimensional combination, and the method comprises the steps of firstly analyzing common characteristics of users who steal electricity by using a current transformer secondary side short-circuit shunting method to obtain the characteristics that the users have reduced electricity consumption, need power failure operation and increased line loss rate. And then determining corresponding sampling periods according to different characteristics so as to obtain specific characteristic values of each characteristic in the sampling periods, calculating comprehensive characteristic values by combining weight coefficients corresponding to each characteristic value, and finally judging whether the electricity stealing behavior of the user occurs or not according to the comprehensive characteristic values. The method combines the power consumption condition of the user, the alarm condition of the load control management terminal on the power failure operation and the line loss rate condition of the 10kV feeder line, calculates the comprehensive characteristic value and judges the comprehensive characteristic value, and can analyze the comprehensive result according to the final comprehensive result even if the characteristic change of a certain aspect is not obvious, so that the method is more comprehensive compared with a single type of judgment method.
The above is a detailed description of an embodiment of a method for discovering electricity stealing by a specific variable metering device through multi-dimensional combination provided by the invention, and the following is a detailed description of another embodiment of the method for discovering electricity stealing by a specific variable metering device through multi-dimensional combination provided by the invention.
S201: and analyzing to obtain common characteristics of the user when the user conducts secondary side short circuit shunting electricity stealing, wherein the common characteristics comprise that the electricity consumption is reduced, the common characteristics are recorded as characteristics 1, power failure operation is needed, and the common characteristics are recorded as characteristics 2 and line loss rate increase, and are recorded as characteristics 3.
It should be noted that the power consumption is obtained by a user electric meter, the line loss rate is obtained by a metering automation system, and the power failure operation is determined by an incoming call alarm sent by a load management terminal.
S202: and respectively determining the sampling period of the power consumption, the sampling period of the power failure operation and the sampling period of the line loss rate according to the current period to be judged.
It should be noted that, since the date of electricity stealing is uncertain, how to select the sampling period is crucial. The period of the previous month is not a complete normal electricity utilization period or a complete electricity stealing period, so that the period of the previous month is an uncertain period. This period cannot be used in the calculation of the used amount and the line loss rate. The last month is a complete normal power utilization period, the month is a complete power stealing period, and the comparison between the electric quantity and the line loss rate of the two periods is very obvious, namely, a period-separated comparison method is adopted in the calculation of the characteristics 1 and 3. The characteristic 2 is that in the power failure operation process, the load management terminal can generate power failure and incoming call alarms, and the incoming call alarm of the load management terminal is more accurate according to the actual operation experience.
As shown in table 1 below, for a user 1, short-circuit shunt electricity stealing is performed at the secondary side terminal of the current transformer in 2018, 8, month and 22, and the electric quantity before and after the short-circuit shunt electricity stealing and the a value (i.e. the characteristic value of reducing the electric quantity) are calculated.
TABLE 1 Power consumption and A value of a user 1 in 2018.06-2018.11
As can be seen from table 1, the comparison between the electricity usage in the month 9 of 2018 and the electricity usage in the month 7 of 2018 is very obvious, and the comparison between the electricity usage in the month 8 of 2018 and the electricity usage in the month 7 of 2018 is not obvious.
Table 2 below is a table for calculating the power and a value (i.e., the characteristic value of power reduction) before and after the user 1 is checked and recovered in 2019, 3, month, and 25.
TABLE 2 Power usage and A value for certain User 1 at 2019.02-2019.07
As can be seen from table 2, the comparison of the recovered power consumption is also clear.
Thus, the sampling period of power usage is specifically determined as the first power cycle (e.g., 2018.09 in table 1) and the last complete power cycle of the first power cycle, denoted as the third power cycle (e.g., 2018.07 in table 1); the first power utilization period is a current period to be judged, that is, a complete power utilization period for judging whether suspected power stealing occurs is judged by utilizing the multi-dimensional combination method for finding the power stealing of the specific variable metering device provided by the embodiment, that is, a month for judging the power stealing behavior of the user at present, and the complete power utilization period can be a whole month or a whole week. The same line loss rate is sampled for the same period as the used power. The sampling period of the blackout operation is the last complete power cycle of the power cycle and is marked as the second power cycle (for example, 2018.08 in table 1).
S203: and respectively calculating a power consumption reduction characteristic value in a sampling period of power consumption, an identification characteristic value indicating whether a power failure operation occurs in the sampling period of the power failure operation and a line loss rate increase characteristic value in the sampling period of the line loss rate based on the common characteristic.
Note that, in this step, the calculated granularity of each data is a measurement point, and influences such as a negative line loss rate are eliminated. An electricity consumer has one metering point or a plurality of metering points due to different electricity utilization types. If the user is used as the granularity, when the user is found to have abnormality, the user needs to further determine which metering point has a problem, so that the metering point is directly selected as the calculation granularity during calculation. The negative line loss rate needs to be eliminated because the normal line loss rate is generally positive, and if the negative line loss rate occurs, the abnormal condition is the abnormal condition, and the troubleshooting is needed. This part of the influence is removed in the calculation. The electricity consumption reduction characteristic value A is specifically calculated by the following formula:
A=（A3-A1）/A3*100%
in the formula, A3For the third electricity cycle, A1Is the amount of power used for the first electricity cycle.
The flag feature value B is 0 or 1, where 0 indicates that no power outage operation has occurred in the second electrical cycle (i.e., no power alarm is provided in the second electrical cycle), and 1 indicates that a power outage operation has occurred in the second electrical cycle (i.e., a power alarm is provided in the second electrical cycle).
The line loss rate increase characteristic value C is specifically calculated by the following formula:
C=（C3-C1）/C1*100%
in the formula, C3Line loss rate of the third power cycle, C1Is the line loss rate of the first power cycle.
S204: and respectively determining a first weight coefficient corresponding to the electricity consumption reduction characteristic value, a second weight coefficient corresponding to the identification characteristic value and a third weight coefficient corresponding to the line loss rate increase characteristic value.
In order to effectively combine the 3 features, weighting coefficients corresponding to the three features are provided. Since each single feature can not accurately represent whether the user has the suspected electricity stealing behavior, the final electricity stealing behavior is judged, and the contribution of the feature 1 and the feature 3 is the most obvious. In other words, when the electricity consumption reduction characteristic value of a suspected electricity stealing subscriber is found to be particularly large or the line loss rate increase characteristic value is found to be particularly large, the possibility that the subscriber actually performs electricity stealing behavior is considered to be high. Therefore, in order to highlight the contribution of the features 1 and 3 to the determination of the suspected electricity stealing behavior, the first weight coefficient and the third weight coefficient are in a proportional relationship with the corresponding electricity consumption reduction feature value and the corresponding line loss rate increase feature value, respectively.
Specifically, the weighting coefficients for the used-amount reducing characteristic value a, the identifying characteristic value B, and the line-loss-rate increasing characteristic value C are selected as follows.
The weight coefficients corresponding to different intervals of the A value are as follows:
the A value is 50% -100% (including 50% and 100%), and the weight coefficient is
Is 2; at 25% -50% (including 25%, not including 50%), weight factor
Is 1; at 0% -25% (including 0%, not including 25%), weight factor
Is 0.5; when it is negative, the weight coefficient
Is 0.
Of course, the A value interval can be subdivided, and the weight coefficient constraint condition is
。
The B-value weight coefficient may be set to 1.
The weight coefficients corresponding to different intervals of the C value are as follows:
c value of 50% -100%, weight coefficient
Is 2; at 25% -50%, weight coefficient
Is 1; at 0% -25%, weight coefficient
Is 0.5; when it is negative, the weight coefficient
The end point of the C value is 0, and the reference A value is taken as the end point of the C value.
Of course, the C value interval can be subdivided, and the weight coefficient constraint condition is
。
In the above formulas, the selection of the specific value of the weight coefficient may be changed according to the actual situation, for example, the value range of the weight coefficient may be determined to be 0-1. In the actual implementation process, with the continuous increase of the analysis samples, the value of the weight coefficient can be adjusted in reverse according to the final suspected electricity stealing user judgment result, so that each feature can reflect the final judgment result more accurately, and the judgment precision of the method can be improved continuously.
S205: and calculating to obtain a comprehensive characteristic value according to the power consumption reduction characteristic value, the first weight coefficient, the identification characteristic value, the second weight coefficient, the line loss rate increase characteristic value and the third weight coefficient.
It should be noted that the comprehensive characteristic value F is specifically calculated by using the following formula:
F=A*X1+B*X2+C*X3
wherein A is a power consumption reduction characteristic value, B is a mark characteristic value, C is a line loss rate increase characteristic value, and X1Is a first weight coefficient, X2Is the second weight coefficient, X3Is the third weight coefficient.
S206: and judging whether the comprehensive characteristic value exceeds a preset threshold value, and if so, outputting a suspected electricity stealing alarm list.
It should be noted that, in practical implementation, if the setting of the weighting factor is performed according to step S104, the preset threshold may be set to 3. But the specific preset threshold is set according to different weight coefficients. The suspected electricity stealing alarm list is output to be used for on-site investigation and treatment of measurement operation and maintenance and electricity utilization inspection personnel.
The embodiment provides a method for discovering electricity stealing of a special variable metering device through multi-dimensional combination, the method firstly combines the electricity consumption condition of a user, the alarm condition of a load control management terminal and the line loss rate condition of a 10kV feeder line, calculates a comprehensive characteristic value and judges, and compared with a single type judgment method, the method is more comprehensive. Secondly, the number of samples discovered by the type of electricity stealing is small, and as the number of samples increases, the weight coefficient, the preset threshold value and the like can be continuously corrected, so that the alarm is more accurate. Finally, the granularity of the judgment condition used by the invention is a metering point, and when the line loss of the 10kV feeder line is abnormal, the abnormality of one or more specific and public variables under the line needs to be further determined, and the line loss is abnormal due to a plurality of factors, not only due to certain electricity stealing. Therefore, compared with the condition that the line loss of the 10kV feeder line is abnormal, the judging condition used by the invention is more specific and accurate.
The foregoing is a detailed description of an embodiment of a multi-dimensional combination method for detecting electricity stealing of a specific variable metering device provided by the present invention, and the following is a detailed description of an embodiment of a computer-readable storage medium provided by the present invention.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for multi-dimensional binding discovery of electricity stealing by a specific variable metering device as in the preceding embodiments.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for discovering electricity stealing of a specially-changed metering device through multi-dimensional combination is characterized by comprising the following steps:
analyzing to obtain common characteristics of a user when the user conducts short-circuit shunting electricity stealing on the secondary side of the current transformer, wherein the common characteristics comprise reduction of electricity consumption, power failure operation and increase of line loss rate;
respectively determining a sampling period of power consumption, a sampling period of power failure operation and a sampling period of line loss rate according to the current period to be judged;
respectively calculating a power consumption reduction characteristic value in a sampling period of the power consumption, an identification characteristic value indicating whether a power failure operation occurs in the sampling period of the power failure operation, and a line loss rate increase characteristic value in the sampling period of the line loss rate based on the common characteristic;
respectively determining a first weight coefficient corresponding to the electricity consumption reduction characteristic value, a second weight coefficient corresponding to the identification characteristic value and a third weight coefficient corresponding to the line loss rate increase characteristic value;
calculating according to the electricity consumption reduction characteristic value, the first weight coefficient, the identification characteristic value, the second weight coefficient, the line loss rate increase characteristic value and the third weight coefficient to obtain a comprehensive characteristic value;
and judging whether the comprehensive characteristic value exceeds a preset threshold value, and if so, outputting a suspected electricity stealing alarm list.
2. The method of claim 1, wherein the sampling period of the power consumption is determined by the following steps:
the first power utilization period and the last complete power utilization period of the first power utilization period are marked as a third power utilization period;
the first power cycle is the current cycle to be judged.
3. The method of claim 2, wherein the line loss rate is sampled over the same period as the power usage.
4. The method of claim 3, wherein the sampling period of the power outage operation is the last complete power utilization period of the first power utilization period and is recorded as the second power utilization period.
5. The method for discovering electricity stealing of a specific variable metering device in a multidimensional way according to claim 2, wherein the characteristic value A for reducing electricity consumption is calculated by adopting the following formula:
A=（A3-A1）/A3*100%
in the formula, A3The electricity consumption for the third electricity cycle, A1Is the electricity usage of the first electricity cycle.
6. The method according to claim 3, wherein the characteristic value C for increasing the line loss rate is calculated by using the following formula:
C=（C3-C1）/C1*100%
in the formula, C3Is the line loss rate, C, of the third power cycle1Is the line loss rate of the first power cycle.
7. The method for discovering electricity stealing by a specific variable metering device in a multidimensional combination manner according to claim 4, wherein the identification characteristic value is 0 or 1, wherein 0 indicates that no power outage operation occurs in the second electricity utilization period, and 1 indicates that a power outage operation occurs in the second electricity utilization period.
8. The method of claim 1, wherein the first weight coefficient and the third weight coefficient are in direct proportion to the power consumption reduction characteristic value and the line loss rate increase characteristic value respectively.
9. The method for discovering electricity stealing of the specific variable metering device in a multidimensional way according to claim 1, wherein the comprehensive characteristic value F is specifically calculated by adopting the following formula:
F=A*X1+B*X2+C*X3
wherein A is the electricity consumption reduction characteristic value, B is the identification characteristic value, C is the line loss rate increase characteristic value, and X1Is the first weight coefficient, X2Is the second weight coefficient, X3Is the third weight coefficient.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements a method of multi-dimensional binding discovery of power stealing by a proprietary metering device as recited in any one of claims 1-9.
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