Method and system for judging electricity stealing ammeter in metering box

Abstract

The invention belongs to the field of electricity larceny prevention, and particularly relates to a method and a system for judging an electricity larceny ammeter in a metering box. The method comprises the steps that a current normal meter box in a low-voltage transformer area is screened out, error coefficients of all electricity meters in the normal meter box are calculated according to a set electricity meter error calculation mode, and the mean value of the error coefficients of all the electricity meters is solved; calculating the error coefficient of each electric meter in the meter box of the low-voltage transformer area according to the calculation mode; calculating a deviation degree value between the error coefficient mean value and the error coefficient of each ammeter; according to the deviation degree value, whether each ammeter is an abnormal ammeter is determined so as to determine whether a user corresponding to the ammeter has an electricity stealing suspicion; setting an ammeter error calculation mode, namely determining an equation set of all ammeters in the ammeter box according to a relationship that the difference between the electricity consumption metered by an incoming line measurement switch of the ammeter box and the loss in the ammeter box is equal to the sum of products of error coefficients of all ammeters in the ammeter box and the electricity consumption metered by the ammeters; and obtaining the error coefficient of each ammeter.

Description

Technical Field

[0001] The invention belongs to the field of preventing electricity theft, and in particular relates to a method and system for determining an electricity theft meter in a meter box. Background Art

[0002] Reducing costs and increasing efficiency, and demanding benefits from management have become important issues facing the current development of power supply companies. At the same time, the problem of anti-electricity theft has been repeatedly banned. Not only residential users steal electricity, but some companies also steal electricity as a means of profit, resulting in high medium and low voltage line losses and large amounts of electricity loss, which seriously damages the legitimate rights and interests of power supply companies and disrupts the normal order of power supply and use.

[0003] Traditional anti-electricity theft technologies face many challenges in dealing with electricity theft by low-voltage users. Most of these technologies are based on the identification and prevention of traditional electricity theft methods, such as determining whether electricity theft exists by detecting whether the meter has been illegally opened or tampered with. However, firstly, due to the complex structure of the low-voltage power grid, the collection and analysis of power data is difficult, which leads to errors in the monitoring system when processing a large amount of data, and it is difficult to accurately identify electricity theft. Secondly, the number of low-voltage users is large and widely distributed, which makes the workload of monitoring work increase sharply. With the development of science and technology, the methods of electricity theft are becoming more and more diverse and concealed. Some criminals use high-tech means, such as remote control devices, illegal diversion equipment, etc., making electricity theft more difficult to be detected by traditional anti-electricity theft technologies. In summary, it is currently difficult to implement effective and comprehensive monitoring of low-voltage user electricity theft due to the diversity and concealment of electricity theft methods, the complex structure of the low-voltage power grid and the wide distribution of low-voltage users. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for determining whether an electric meter in a meter box has stolen electricity, so as to solve the problem in the prior art that it is difficult to implement effective and comprehensive monitoring of low-voltage electricity theft due to the diversity and concealment of low-voltage electricity theft methods, the complex structure of the low-voltage power grid and the wide distribution of low-voltage users.

[0005] In order to achieve the above object, the present invention provides a method for determining whether an electric meter in a meter box has stolen electricity. The method comprises:

[0006] Filter out the normal meter boxes currently in the low-voltage area, calculate the error coefficient of each meter in the normal meter box according to the set meter error calculation method, and obtain the average value of the error coefficient of each meter;

[0007] Calculate the error coefficient of each meter in the meter box to be tested in the low-voltage area according to the set meter error calculation method; calculate the deviation value between the error coefficient mean and the error coefficient of each meter; determine whether each meter is an abnormal meter according to the deviation value to determine whether the corresponding user is suspected of electricity theft;

[0008] The method for calculating the error of the electric meter includes: determining the equation group of all the electric meters in the meter box according to the relationship that the difference between the power consumption measured by the switch of the meter box incoming line measurement and the loss in the meter box is equal to the sum of the products of the error coefficients of all the electric meters in the meter box and the power consumption measured by the electric meter itself, and obtaining the error coefficient of each electric meter by solving the equation group.

[0009] Beneficial effect: The present invention sets the meter error calculation method, calculates the deviation value of each meter according to the error mean of the meters in the normal meter box and the errors of all meters in the low-voltage area; then determines whether each meter is an abnormal meter according to the deviation value, and determines the user corresponding to the meter determined to be an abnormal meter as an abnormal user suspected of electricity theft. Since normal meters also have errors within a certain range, but there is a certain gap between the errors of normal meters and abnormal meters; therefore, this method first screens out normal meter boxes, and then uses a reasonable and reliable calculation method to calculate the error coefficients of normal meters in normal meter boxes and the error coefficients of all meters in the low-voltage area, and then calculates and compares the relative errors to screen out abnormal meters and their corresponding abnormal users suspected of electricity theft (i.e., determine abnormal users). The method provided by the present invention can reasonably and effectively monitor the various and concealed low-voltage electricity theft behaviors of abnormal users based on reliable data. Since it is only necessary to collect relevant data that can reflect the change in electricity volume to track the electricity theft users, even if the low-voltage power grid structure is complex and the low-voltage users are widely distributed (that is, the number of low-voltage users is large), it has almost no effect on the anti-electricity theft monitoring using this method. That is, this method can timely discover the electricity theft behavior of low-voltage users and provide an accurate and reliable basis for determining their electricity theft behavior.

[0010] Further, the method of determining whether each electric meter is an abnormal electric meter according to the deviation value to determine whether the user corresponding to each electric meter is suspected of electricity theft includes:

[0011] If the deviation value of the electric meter is less than the set upper limit of the deviation threshold and greater than the set lower limit of the deviation threshold, the electric meter is determined to be a normal electric meter;

[0012] If the deviation value of the electric meter is greater than or equal to the set upper limit of the deviation threshold or less than or equal to the set lower limit of the deviation threshold, the electric meter is judged to be an abnormal meter; based on the judgment result of whether the electric meter is a normal meter or an abnormal meter, it is determined whether the user corresponding to the judged electric meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft.

[0013] Furthermore, the method of determining whether each electric meter is an abnormal electric meter according to the deviation value, and then determining whether the user corresponding to each electric meter is suspected of electricity theft includes:

[0014] If the deviation value of a certain meter is one of the top N largest deviation values ​​among all the meter deviation values, where N is an integer greater than or equal to 1, the meter is determined to be an abnormal meter, and the other meters are determined to be normal meters; based on the determination result of whether the meter is a normal meter or an abnormal meter, it is determined whether the user corresponding to the determined meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft.

[0015] Furthermore, based on the determination result of whether the electric meter is a normal meter or an abnormal meter, a method for determining whether the user corresponding to the determined electric meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft includes: if the determination result of the electric meter is an abnormal meter for a cumulative number of times exceeding a set number, then determining that the user corresponding to the determined electric meter is an abnormal user who is suspected of electricity theft; otherwise, determining that the user corresponding to the determined electric meter is a normal user who is not suspected of electricity theft.

[0016] Furthermore, the method for screening out the current normal meter boxes in the low-voltage substation includes: if at a time section closest to the current moment, the value of the active power measured by the measuring switch on the incoming line side of the meter box is balanced with the sum of the active power values ​​measured by all the meters in the meter box, and the difference between the active power measured by the measuring switch on the incoming line side of the meter box on the time section and the active power measured at the most recent mutation moment and the sum of the differences between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment are balanced, then the meter box is determined to be the current normal meter box in the low-voltage substation.

[0017] Furthermore, the method for screening out the current normal meter boxes in the low-voltage substation includes: if on the same time section, the value of the active power measured by the measuring switch on the incoming line side of the meter box is balanced with the sum of the active power values ​​measured by all the meters in the meter box, and the difference between the active power measured by the measuring switch on the incoming line side of the meter box and the active power measured at the most recent mutation moment and the sum of the differences between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment are balanced, then the meter box is determined to be a normal meter box at the time point corresponding to the time section; from the screened meter boxes that are determined to be normal meter boxes at the time point closest to the current moment, the meter boxes that are determined to be normal meter boxes at each time point within the set time period from the current moment are selected as the current normal meter boxes in the low-voltage substation.

[0018] The present invention also provides a system for determining an electricity-stealing meter in a meter box, comprising a processor for executing a computer program to implement the steps of a method for determining an electricity-stealing meter in a meter box.

[0019] The anti-electricity theft analysis system based on the measuring switch can achieve the same beneficial effects as the above-mentioned method for determining the electricity theft of the electric meter in the meter box. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is an example diagram of the application of the intelligent measuring switch in the embodiment of the method for determining the electricity theft of the electric meter in the meter box of the present invention;

[0021] Figure 2 It is a flowchart of a method for determining an electric meter for electricity theft in a meter box in an embodiment of the method for determining an electric meter for electricity theft in a meter box of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0023] Embodiment of a method for determining whether an electric meter in a meter box has stolen electricity

[0024] This embodiment provides a method for judging a meter that has stolen electricity in a meter box. The method provides a method for setting the meter error calculation, through which the error coefficients of all meters in the low-voltage area (including normal meters and abnormal meters) can be calculated; the error coefficients are relatively compared to obtain a deviation value, which is the standard for measuring whether the meter is a normal meter or an abnormal meter. Among them, the method for setting the meter error calculation is actually to set the error coefficient as an unknown quantity, and to substitute the error coefficient into the equation system for solution based on the equal relationship between the measurement switch side and the meter side, and each solution of the equation system is the error coefficient of each meter. Since the means of stealing electricity by low-voltage electricity stealing users are relatively concealed, the changes in their meters are also small and difficult to detect. Therefore, the relative error calculation method of this method can clearly show the subtle changes of abnormal meters suspected of stealing electricity, timely discover the electricity stealing behavior of low-voltage users, and provide an accurate and reliable basis for judging their electricity stealing behavior.

[0025] In this embodiment, the method includes: selecting the normal meter boxes currently in the low-voltage area, calculating the error coefficients of the meters in the normal meter boxes according to the set meter error calculation method, and obtaining the average error coefficients of the meters;

[0026] Calculate the error coefficient of each meter to be tested in the meter box to be tested in the low-voltage area according to the set meter error calculation method; calculate the deviation value between the error coefficient mean and the error coefficient of each meter to be tested; determine whether each meter to be tested is an abnormal meter according to the deviation value, so as to determine whether the corresponding user is suspected of electricity theft;

[0027] The method for calculating the error of the electric meter includes: determining the equation group of all the electric meters in the meter box according to the relationship that the difference between the power consumption measured by the switch of the meter box incoming line measurement and the loss in the meter box is equal to the sum of the products of the error coefficients of all the electric meters in the meter box and the power consumption measured by the electric meter itself, and obtaining the error coefficient of each electric meter by solving the equation group.

[0028] Specifically, this embodiment provides a method for setting the meter error calculation method, which is specifically based on the following: Figure 1 The difference between the power consumption measured by the measuring switch on the incoming side of the meter box and the loss in the meter box is equal to the sum of the products of the error coefficients of all the meters in the meter box and the power consumption measured by the meter itself, and the equation group of all the meters in the meter box is determined. By solving the equation group, the error coefficient of each meter is obtained.

[0029] The error calculation method of the meter is actually to obtain the relationship between the power consumption measured by the meter box incoming line measurement switch, the loss in the meter box, the power consumption measured by the meter itself and the error coefficient by combining the equation derived from the energy conservation formula, and then obtain the equation group that can be used to calculate the error coefficient (unknown quantity). Then solve the equation group to obtain the calculation method of the error coefficient of the meter. First, it is assumed that the total meter of the meter box has no measurement error, and Z j When it is real loss, the energy conservation of the energy meter is obtained through the energy conservation formula of "total real electricity = total loss + sum of branch real electricity", and the following relationship is obtained:

[0030]

[0031] Among them, E j is the power consumption on the jth day recorded by the meter box incoming line measurement switch (i.e., the power consumption measured by the meter box incoming line measurement switch); Z j is the sum of the line loss and other losses (i.e., losses in the meter box) on the jth day in the meter box; X i,j is the actual electricity consumption of the i-th user on the j-th day; m is the number of electricity meters and their corresponding users.

[0032] Secondly, for the electric energy meter i, let its relative error coefficient measured within one day be & i , the daily power consumption measured by the energy meter is X i ' ,j (i.e. the electricity consumption measured by the meter itself) and the actual electricity consumption of the corresponding user X i,j , there is the following relationship:

[0033]

[0034] Transformed into

[0035] because is an unknown quantity, so let

[0036]

[0037] Get X i,j =ε i *X′ i,j(5)

[0038] Substituting equation (5) into equation (1), we get the equation

[0039]

[0040] Among them, ε i For the general The error coefficient determined by equivalent substitution is It is also an unknown quantity. By making equivalent substitutions, the formula expression can be simplified.

[0041] According to the above equation, randomly select m (i = 0, 1, 2, 3 ... m) users and n (j = 0, 1, 2, 3 ... n) days of data to obtain the corresponding equation group, which is written in matrix form as follows:

[0042]

[0043] When Cramer's rule is satisfied, the system of equations has only one solution. The measurement error of each electric energy meter is obtained by solving the system of equations (7).

[0044] The above is a method for calculating the error of an electric meter. In this embodiment, this method is used to calculate the electric meter in a low-voltage area. Figure 2 As shown, firstly, the normal meter boxes in the low-voltage area are screened out, and then the error coefficients of the meters in the normal meter boxes are calculated according to the calculation method, and the error coefficients of the meters in the normal meter boxes are averaged to obtain the error mean of the normal meters.

[0045] get After that, the error coefficients of all the meters to be tested (including normal meters) in the entire low-voltage area are calculated according to the set meter error calculation method. and the error coefficient ε of all meters i (i=0,1,2,3……m) Calculate the deviation value of each meter, the formula is as follows:

[0046]

[0047] Among them, SU is the deviation value of the meter; is the error mean of a normal meter; ε i is the error coefficient of the meter.

[0048] According to the calculation results, it is determined whether each meter is an abnormal meter or a normal meter, and then according to the determination result, it is determined whether the user corresponding to each meter is an abnormal user suspected of electricity theft or a normal user not suspected of electricity theft (that is, whether the corresponding user is suspected of electricity theft).

[0049] In this embodiment, the method of determining whether each meter is an abnormal meter according to the deviation value to determine whether the user corresponding to each meter is suspected of electricity theft (abbreviated as abnormal meter determination condition 1) includes:

[0050] If the deviation value of the electric meter is less than the set upper limit of the deviation threshold and greater than the set lower limit of the deviation threshold, the electric meter is determined to be a normal electric meter;

[0051] If the deviation value of the electric meter is greater than or equal to the set upper limit of the deviation threshold or less than or equal to the set lower limit of the deviation threshold, the electric meter is judged to be an abnormal meter; based on the judgment result of whether the electric meter is a normal meter or an abnormal meter, it is determined whether the user corresponding to the judged electric meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft.

[0052] Specifically, the method of determining whether each electricity meter is an abnormal meter or a normal meter based on the calculation result (i.e., the calculated deviation value) to determine whether the user corresponding to each electricity meter is an abnormal user suspected of electricity theft or a normal user not suspected of electricity theft includes: first determining whether the electricity meter is an abnormal meter or a normal meter based on determination condition 1 of the abnormal meter, using the determination result of the electricity meter as the determination condition of the user corresponding to the meter, and determining the user (i.e., determining whether the user is an abnormal user suspected of electricity theft or a normal user not suspected of electricity theft).

[0053] Determination condition 1 of abnormal meter: If the deviation value of a meter is greater than or equal to the set deviation threshold upper limit or less than or equal to the set deviation threshold lower limit (in this embodiment, the deviation threshold is set to ±2, that is, the deviation threshold upper limit is set to 2, and the deviation threshold lower limit is set to -2), the meter is determined to be an abnormal meter. Taking the deviation value calculated by meter A as an example, the deviation value calculated by meter A is 8, which meets the determination condition 1 of abnormal meter, and meter A is determined to be an abnormal meter.

[0054] If the deviation value calculated by a meter is less than the set upper limit of the deviation threshold and greater than the set lower limit of the deviation threshold, the meter is determined to be a normal meter. Taking the deviation value calculated by meter B as an example, if the deviation value calculated by meter B is 1.5, which does not meet the judgment condition 1 of the abnormal meter, meter B is determined to be a normal meter.

[0055] In summary, the user corresponding to the meter determined to be an abnormal meter is an abnormal user suspected of electricity theft (that is, user A corresponding to meter A is an abnormal user); the user corresponding to the meter determined to be a normal meter is a normal user not suspected of electricity theft (that is, user B corresponding to meter B is a normal user).

[0056] In other embodiments, the method of determining whether each meter is an abnormal meter according to the deviation value, and then determining whether the user corresponding to each meter is suspected of electricity theft (abbreviated as abnormal meter determination condition 2) may include:

[0057] If the deviation value of a certain meter is one of the top N largest deviation values ​​among all the meter deviation values, where N is an integer greater than or equal to 1, the meter is determined to be an abnormal meter, and the other meters are determined to be normal meters; based on the determination result of whether the meter is a normal meter or an abnormal meter, it is determined whether the user corresponding to the determined meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft.

[0058] Specifically, the method of determining whether each electricity meter is an abnormal meter or a normal meter based on the calculation result (i.e., the calculated deviation value) to determine whether the user corresponding to each electricity meter is an abnormal user suspected of electricity theft or a normal user not suspected of electricity theft also includes: first determining whether the electricity meter is an abnormal meter or a normal meter based on determination condition 2 of the abnormal meter, and using the determination result of the electricity meter as the determination condition of the user corresponding to the meter to determine the user (i.e., determining whether the user is an abnormal user suspected of electricity theft or a normal user not suspected of electricity theft).

[0059] Determination condition 2 of abnormal electric meter: If the deviation value calculated by a certain electric meter belongs to one of the largest deviation values ​​among the top N (in this embodiment, N=3, i.e., the top 3 of all electric meters in the low-voltage area) of all electric meters in the low-voltage area, then the electric meter is determined to be an abnormal electric meter. Taking the deviation value calculated by electric meter C as an example, the deviation value calculated by electric meter C is 10, which ranks second among the deviation values ​​of all electric meters in the low-voltage area, and belongs to one of the top 3 largest deviation values ​​of all electric meters in the low-voltage area. Determination condition 2 of abnormal electric meter is met, and then electric meter C is determined to be an abnormal electric meter.

[0060] If the deviation value calculated by a meter does not belong to one of the largest deviation values ​​among the top N (in this embodiment, N=3, i.e., the top 3 among all the meters in the low-voltage area) of all the meters in the low-voltage area, the meter is determined to be a normal meter. Taking the deviation value calculated by meter D as an example, the deviation value calculated by meter D is 2.5, ranking 25th among the deviation values ​​of all the meters in the low-voltage area, and does not belong to one of the top 3 largest deviation values, and does not meet the determination condition 2 of the abnormal meter, then meter D is determined to be a normal meter.

[0061] In summary, the user corresponding to the meter determined as an abnormal meter is an abnormal user suspected of electricity theft (i.e., user C corresponding to meter C is an abnormal user); the user corresponding to the meter determined as a normal meter is a normal user not suspected of electricity theft (i.e., user D corresponding to meter D is a normal user). It should be noted that in actual application, one of the determination conditions 1 and 2 of the abnormal meter needs to be used.

[0062] In the determination condition 1 of the abnormal meter and the determination condition 2 of the abnormal meter, the method of determining whether the user corresponding to the determined meter is a normal user without suspicion of electricity theft or an abnormal user with suspicion of electricity theft according to the determination result of whether the meter is a normal meter or an abnormal meter includes: if the determination result of the meter is an abnormal meter for a cumulative number of times exceeding a set number, then the user corresponding to the determined meter is determined to be an abnormal user with suspicion of electricity theft; otherwise, it is a normal user without suspicion of electricity theft.

[0063] Specifically, after obtaining the result of determining whether the meter is a normal meter or an abnormal meter according to the deviation value of the meter, the method of determining whether the user corresponding to the meter is a normal user without suspicion of electricity theft or an abnormal user with suspicion of electricity theft through the judgment result includes: if the meter is determined to be an abnormal meter for more than a set number of times, the user corresponding to the determined meter is determined to be an abnormal user with suspicion of electricity theft, otherwise it is a normal user without suspicion of electricity theft. In this embodiment, the set number of times is greater than or equal to 1 to avoid misjudgment or inaccurate judgment due to too small a sample size of the judgment result; in other embodiments, the set number of times can also be 0 according to specific needs to improve the sensitivity of the judgment, that is, as long as the judgment result of an abnormal meter occurs once, the meter is determined to be an abnormal meter.

[0064] In this embodiment, the method of screening out the current normal meter box in the low-voltage substation includes: if at a time section closest to the current moment, the value of the active power measured by the measuring switch on the incoming line side of the meter box is balanced with the sum of the active power values ​​measured by all the meters in the meter box, and the difference between the active power measured by the measuring switch on the incoming line side of the meter box on the time section and the active power measured at the most recent mutation moment and the sum of the differences between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment is balanced, then the meter box is determined to be the current normal meter box in the low-voltage substation.

[0065] Specifically, this embodiment screens out the normal meter boxes currently in the low-voltage area through the condition of double balance.

[0066] Balance 1: If at the time section closest to the current time T, the active power value measured by the meter box incoming line measuring switch and the sum of the active power values ​​measured by all the meters in the meter box are balanced, that is, at the time section closest to the current time T, the active power measured by the meter box incoming line measuring switch and the sum of the current active power indications of each user meter meet the following relationship:

[0067] P 总 =P1+P2……P n (9)

[0068] The "=" in the above formula does not mean equality, but indicates a state of dynamic balance. This dynamic balance is actually the balance between the power on the incoming side of the measured switch and the sum of the power values ​​of each electrical value in the meter box ("balance" actually refers to the situation where the difference is small, for example, P in the above formula 总 and P1+P2…P n The difference satisfies that the absolute value is less than the corresponding set threshold, then balance is achieved). Through this balance, normal meter boxes can be preliminarily screened, that is, normal meter boxes must first ensure the balance of the electrical values ​​on their incoming line side and in the meter box. If this balance cannot be guaranteed, the probability that the meter box is a normal meter box is extremely small.

[0069] Balance 2: If the difference between the active power measured by the measuring switch on the incoming line side of the meter box on the above time section and the active power measured at the most recent mutation moment and the difference between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment are balanced, that is, the difference between the active power measured by the measuring switch on the incoming line side of the meter box on the above time section and the active power measured at the most recent mutation moment and the difference between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment satisfy the following relationship:

[0070] △P 总 =△P1+△P2……△P n (10)

[0071] The above formula is similar to formula (9). The above formula represents the balance between the difference between the active power measured by the measuring switch on the incoming line side of the meter box at the above time section and the active power measured at the most recent mutation moment and the difference between the active power measured by all the meters in the meter box at the time section and the active power measured by the meter itself at the mutation moment. This balance is actually the balance between the mutation difference of the incoming line side of the meter box measuring switch and the mutation difference of each meter value in the meter box (△P in the above formula is 总 and △P1+△P2……△P nIf the absolute value of the difference is less than the corresponding set threshold, balance is achieved); on the basis that balance one is guaranteed, if balance two cannot be guaranteed, then the meter box has a certain probability of being an abnormal meter box (the amount of electricity stolen by abnormal users is small and difficult to detect). If both balances are met, then the probability that the meter box is a normal meter box is very high.

[0072] In this embodiment, the method of screening out the current normal meter boxes in the low-voltage substation includes: if on the same time section, the value of the active power measured by the measuring switch on the incoming line side of the meter box is balanced with the sum of the active power values ​​measured by all the meters in the meter box, and the difference between the active power measured by the measuring switch on the incoming line side of the meter box and the active power measured at the most recent mutation moment and the sum of the differences between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment is balanced, then the meter box is determined to be a normal meter box at the time point corresponding to the time section; from the screened meter boxes that are determined to be normal meter boxes at the time point closest to the current moment, the meter boxes that are determined to be normal meter boxes at each time point within the set time period from the current moment are selected as the current normal meter boxes in the low-voltage substation.

[0073] Specifically, after the meter boxes that are judged as normal meter boxes on the time section closest to the current moment T are screened out in the above manner, there may still be controversy over the normal meter boxes that are screened out, that is, if the meter box is judged as a normal meter box and screened out on the time section closest to the current moment T, but on the time sections corresponding to other time points, the meter box is judged as an abnormal meter box; in this case, the judgment of the meter box is not accurate enough. The following solution is provided for this situation: from the meter boxes that are judged as normal meter boxes at the time point closest to the current moment, the meter boxes that are judged as normal meter boxes at each time point within the set time period from the current moment are selected as the current normal meter boxes in the low-voltage area. Taking the meter boxes that are judged as normal meter boxes on the time section closest to the current moment T as an example, from the normal meter boxes screened out this time, the meter boxes that are judged as normal meter boxes at the three time points of T+1, T+2 and T+3 are selected, and the normal meter boxes screened out this time are finally determined as the current normal meter boxes in the low-voltage area.

[0074] Embodiment of a system for determining electricity theft in a meter box

[0075] This embodiment provides a system for determining an electricity-stealing meter in a meter box. The system includes a processor having executable program instructions stored therein. The executable program instructions are used to implement the method for determining an electricity-stealing meter in a meter box in the above-mentioned embodiment of the method for determining an electricity-stealing meter in a meter box.

[0076] Since the specific working mode and working principle of the system for determining the electricity theft of an electric meter in a meter box of this embodiment have been described in detail in the above-mentioned embodiment of the method for determining the electricity theft of an electric meter in a meter box, they will not be repeated here.

[0077] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, but do not constitute a limitation to the present invention.

Claims

1. A method for determining whether an electric meter in a meter box has stolen electricity, characterized in that: include: Filter out the normal meter boxes currently in the low-voltage area, calculate the error coefficient of each meter in the normal meter box according to the set meter error calculation method, and obtain the average value of the error coefficient of each meter; Calculate the error coefficient of each meter in the meter box to be tested in the low-voltage area according to the set meter error calculation method; calculate the deviation value between the mean value of the error coefficient and the error coefficient of each meter; Determine whether each electric meter is an abnormal electric meter according to the deviation value, so as to determine whether the corresponding user is suspected of electricity theft; The method for calculating the error of the electric meter includes: determining the equation group of all the electric meters in the meter box according to the relationship that the difference between the power consumption measured by the switch of the meter box incoming line measurement and the loss in the meter box is equal to the sum of the products of the error coefficients of all the electric meters in the meter box and the power consumption measured by the electric meter itself, and obtaining the error coefficient of each electric meter by solving the equation group.

2. The method for determining whether an electric meter in a meter box has stolen electricity according to claim 1, characterized in that: Methods for determining whether each electric meter is an abnormal electric meter according to the deviation value to determine whether a user corresponding to each electric meter is suspected of electricity theft include: If the deviation value of the electric meter is less than the set upper limit of the deviation threshold and greater than the set lower limit of the deviation threshold, the electric meter is determined to be a normal electric meter; If the deviation value of the electric meter is greater than or equal to the set upper limit of the deviation threshold or less than or equal to the set lower limit of the deviation threshold, the electric meter is judged to be an abnormal meter; based on the judgment result of whether the electric meter is a normal meter or an abnormal meter, it is determined whether the user corresponding to the judged electric meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft.

3. The method for determining whether an electric meter in a meter box has been stolen according to claim 1, characterized in that: Methods for determining whether each electric meter is an abnormal electric meter according to the deviation value, and then determining whether a user corresponding to each electric meter is suspected of electricity theft include: If the deviation value of a certain meter is one of the top N largest deviation values ​​among all the meter deviation values, where N is an integer greater than or equal to 1, the meter is determined to be an abnormal meter, and the other meters are determined to be normal meters; based on the determination result of whether the meter is a normal meter or an abnormal meter, it is determined whether the user corresponding to the determined meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft.

4. The method for determining whether an electric meter in a meter box has stolen electricity according to claim 2 or 3, characterized in that: The method of determining whether the electric meter is a normal user or an abnormal user based on the determination result of whether the electric meter is a normal user who is not suspected of electricity theft or an abnormal user who is suspected of electricity theft includes: if the electric meter is determined to be an abnormal user for a cumulative number of times exceeding a set number of times, then determining that the user corresponding to the electric meter is an abnormal user who is suspected of electricity theft; otherwise, determining that the user corresponding to the electric meter is a normal user who is not suspected of electricity theft.

5. The method for determining whether an electric meter in a meter box has stolen electricity according to claim 1, characterized in that: The method for screening out the current normal meter boxes in the low-voltage substation includes: if at a time section closest to the current moment, the value of the active power measured by the measuring switch on the incoming line side of the meter box is balanced with the sum of the active power values ​​measured by all the meters in the meter box, and the difference between the active power measured by the measuring switch on the incoming line side of the meter box on the time section and the active power measured at the most recent mutation moment and the sum of the differences between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment are balanced, then the meter box is determined to be the current normal meter box in the low-voltage substation.

6. The method for determining whether an electric meter in a meter box has been stolen according to claim 1, characterized in that: The method for screening out the current normal meter boxes in the low-voltage substation includes: if on the same time section, the value of the active power measured by the measuring switch on the incoming line side of the meter box is balanced with the sum of the active power values ​​measured by all the meters in the meter box, and the difference between the active power measured by the measuring switch on the incoming line side of the meter box and the active power measured at the most recent mutation moment and the sum of the differences between the active power measured by all the meters in the meter box on the time section and the active power measured by the meter itself at the mutation moment are balanced, then the meter box is determined to be a normal meter box at the time point corresponding to the time section; from the screened meter boxes that are determined to be normal meter boxes at the time point closest to the current moment, the meter boxes that are determined to be normal meter boxes at each time point within the set time period from the current moment are selected as the current normal meter boxes in the low-voltage substation.

7. A system for determining whether an electric meter in a meter box has been stolen, comprising a processor, characterized in that: The processor is used to execute a computer program to implement the steps of the method for determining an electricity theft meter in a meter box according to any one of claims 1 to 6.

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