CN109116072B - Electricity stealing analysis method and device and server - Google Patents
Electricity stealing analysis method and device and server Download PDFInfo
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- CN109116072B CN109116072B CN201810714417.2A CN201810714417A CN109116072B CN 109116072 B CN109116072 B CN 109116072B CN 201810714417 A CN201810714417 A CN 201810714417A CN 109116072 B CN109116072 B CN 109116072B
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Abstract
The invention provides a method, a device and a server for analyzing electricity stealing, and relates to the field of electric power analysis. The method comprises the steps of carrying out weighting operation according to a current value, a voltage difference, a three-phase current unbalance rate, a power change parameter, a table sampling alternate sampling comparison value, an electric quantity ratio discrete coefficient and a line loss rate to obtain an electricity stealing suspicion coefficient; and when the electricity stealing suspicion coefficient is higher than a preset parameter threshold value, judging that the electricity stealing suspicion exists in the user. The electricity stealing analysis method, the electricity stealing analysis device and the electricity stealing server can automatically calculate the electricity stealing suspicion coefficient of each user according to the monitored electricity utilization operation data of the users, and judge that the electricity stealing suspicion exists in the users when the electricity stealing suspicion coefficient is higher than a preset parameter threshold value, so that an inspector can investigate whether the electricity stealing behavior exists in the suspected users on site.
Description
Technical Field
The invention relates to the field of power analysis, in particular to a method, a device and a server for analyzing electricity stealing.
Background
For a long time, the problem of electricity stealing has plagued power enterprises. Some units or individuals steal electric energy as a profit means, and adopt various methods to avoid electric energy metering so as to achieve the purpose of paying no or less electric charge, thereby seriously damaging the legal rights of power supply enterprises, disturbing the normal power supply and utilization order, causing the damage of electric power facilities and forming great potential safety and utilization hazards. All power supply bureaus increase the work force of striking and stealing electricity all the time, and simultaneously improve the technical means of preventing electricity stealing continuously. However, the current electricity stealing prevention technology still has great limitation, and the electricity stealing means are increasingly hidden, diversified, rapid and high-tech, and the difficulty of electricity stealing prevention is more and more great.
Disclosure of Invention
In view of the above, an object of the embodiments of the present invention is to provide a method, an apparatus and a server for analyzing power stealing, so as to improve the above problems.
The embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a power stealing analysis method, applied to a server, for performing power stealing analysis on a user accessing a dedicated transformer, where the method includes:
obtaining the current value and the voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value collected by a metering ammeter in the three-phase power supply line, a negative control terminal sampling value collected by a negative control terminal in the three-phase power supply line, the monthly average power consumption of the user in the same industry and the output electric quantity of the special transformer;
obtaining the three-phase current unbalance rate of the three-phase power supply line according to the current value of each phase line;
obtaining the voltage difference of the three-phase power supply line according to the voltage value of each phase line and a preset standard voltage value;
obtaining the power of each phase line in the three-phase power supply line according to the current value and the corresponding voltage value;
obtaining power variation parameters of the three-phase power supply circuit according to the variation condition of the power of each phase line in the three-phase power supply circuit;
obtaining a meter sampling alternate sampling comparison value of the three-phase power supply circuit according to the meter sampling value and the load control terminal sampling value;
obtaining an electric quantity ratio discrete coefficient of the user and the same-industry user according to the average monthly electric quantity of the user and the average monthly electric quantity of the same-industry user;
obtaining the line loss rate of the special transformer according to the output electric quantity of the special transformer and the meter sampling value acquired by the metering ammeter;
carrying out weighting operation according to the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the meter sampling and alternate sampling comparison value, the electric quantity ratio discrete coefficient and the line loss rate to obtain an electricity stealing suspicion coefficient;
and when the electricity stealing suspicion coefficient is higher than a preset parameter threshold value, judging that the electricity stealing suspicion exists in the user.
Optionally, the three-phase current imbalance rate is:wherein,IA、IB、ICthe current values of the phase lines in the three-phase power supply line are respectively.
Optionally, the electric quantity ratio discrete coefficient is:wherein,Xithe ratio of the user's monthly electricity consumption to the user's monthly electricity consumption in the same industry, N is 12.
In a second aspect, an embodiment of the present invention provides a power stealing analysis apparatus, applied to a server, for performing power stealing analysis on a user accessing a dedicated transformer, where the power stealing analysis apparatus includes:
the acquisition module is used for acquiring the current value and the voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value acquired by a metering ammeter in the three-phase power supply line, a negative control terminal sampling value acquired by a negative control terminal in the three-phase power supply line, the monthly average power consumption of the user in the same industry and the output electric quantity of the special transformer;
the operation module is used for obtaining the three-phase current unbalance rate of the three-phase power supply line according to the current value of each phase line;
the operation module is also used for obtaining the voltage difference of the three-phase power supply circuit according to the voltage value of each phase line and a preset standard voltage value;
the operation module is further used for obtaining the power of each phase line in the three-phase power supply circuit according to the current value and the corresponding voltage value;
the operation module is also used for obtaining power change parameters of the three-phase power supply circuit according to the change condition of the power of each phase line in the three-phase power supply circuit;
the operation module is also used for obtaining a meter sampling and alternate sampling comparison value of the three-phase power supply circuit according to the meter sampling value and the negative control terminal sampling value;
the operation module is also used for obtaining an electric quantity ratio discrete coefficient of the user and the user in the same industry according to the average monthly electricity consumption of the user and the average monthly electricity consumption of the user in the same industry;
the operation module is further used for obtaining the line loss rate of the special transformer according to the output electric quantity of the special transformer and the meter sampling value acquired by the metering ammeter;
the operation module is further used for carrying out weighting operation according to the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the meter sampling and alternate sampling comparison value, the electric quantity ratio dispersion coefficient and the line loss rate to obtain an electricity stealing suspicion coefficient;
and the judging module is used for judging that the user has the suspicion of electricity stealing when the suspicion coefficient of electricity stealing is higher than a preset parameter threshold value.
Optionally, the three-phase current imbalance rate is:wherein,IA、IB、ICthe current values of the phase lines in the three-phase power supply line are respectively.
Optionally, the electric quantity ratio discrete coefficient is:wherein,Xithe ratio of the user's monthly electricity consumption to the user's monthly electricity consumption in the same industry, N is 12.
In a third aspect, an embodiment of the present invention provides a server, including a memory and a processor, where the memory stores a computer program operable on the processor, and the server is characterized in that when the processor executes the computer program, the server implements any of the steps of the method described above.
Compared with the prior art, the electricity stealing analysis method, the electricity stealing analysis device and the electricity stealing server have the following beneficial effects:
the electricity stealing analysis method, the electricity stealing analysis device and the electricity stealing server can automatically calculate the electricity stealing suspicion coefficient of each user according to the monitored electricity utilization operation data of the users, and judge that the electricity stealing suspicion exists in the users when the electricity stealing suspicion coefficient is higher than a preset parameter threshold value, so that an inspector can investigate whether the electricity stealing behavior exists in the suspected users on site. The electricity stealing analysis method, the electricity stealing analysis device and the electricity stealing server realize intelligent abnormity monitoring, tracking positioning and analysis diagnosis by using the system instead of manpower, and provide intelligent and informatization means for developing electricity stealing prevention work.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram illustrating interaction between a server and a power data monitoring system according to a preferred embodiment of the present invention.
Fig. 2 is a block diagram of a server according to a preferred embodiment of the present invention.
FIG. 3 is a flow chart of a method for analyzing power stealing according to a preferred embodiment of the invention.
Fig. 4 is a functional block diagram of an electricity stealing analysis apparatus according to a preferred embodiment of the invention.
Icon: 100-a server; 110-electricity stealing analysis means; 111-an acquisition module; 113-an operation module; 115-a decision module; 130-a memory; 150-a processor; 170-a communication unit; 200-a power data monitoring system; 300-network.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Fig. 1 is a schematic diagram illustrating interaction between a server 100 and a power data monitoring system 200 according to a preferred embodiment of the invention. The server 100 is communicatively coupled to one or more power data monitoring systems 200 via a network 300 for data communication or interaction. The server 100 may be a web server, a database server, or the like. The power data monitoring system 200 is a server or a background terminal device of a power company for monitoring and counting power data in a power system.
Fig. 2 is a block diagram of the server 100. The server 100 includes a power stealing analysis apparatus 110, a memory 130, a processor 150 and a communication unit 170, which are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The electricity stealing analysis device 110 includes at least one software function module that can be stored in the memory 130 in the form of software or firmware (firmware). The processor 150 is used for executing executable modules stored in the memory 130, such as software functional modules and computer programs included in the electricity stealing analysis device 110.
The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processor 150 executes the program after receiving the execution instruction. The communication unit 170 is configured to establish a communication connection between the server 100 and the power data monitoring system through the network 300.
Referring to fig. 3, a flowchart of a power stealing analysis method applied to the power stealing analysis apparatus 110 shown in fig. 2 according to a preferred embodiment of the invention is shown. The specific flow shown in fig. 3 will be described in detail below.
Step S101, obtaining a current value and a voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value collected by a metering ammeter in the three-phase power supply line, a negative control terminal sampling value collected by a negative control terminal in the three-phase power supply line, the monthly average power consumption of a user, the monthly average power consumption of the user in the same industry and the output electric quantity of the special transformer.
In the embodiment of the present invention, the server 100 and the power data monitoring system 200 perform data interaction through the network 300. The power data monitoring system 200 is a server or a background terminal device of a power company for monitoring and counting power data in a power system. The electric power data monitoring system 200 records data such as current values and voltage values of phase lines in a three-phase power supply line of the special transformer, meter sampling values collected by a metering ammeter in the three-phase power supply line, negative control terminal sampling values collected by a negative control terminal in the three-phase power supply line, monthly average power consumption of users in the same industry, output electric quantity of the special transformer and the like.
When a user accessing the special transformer is analyzed for electricity stealing, the electric power data monitoring system 200 sends data such as a current value and a voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value collected by a metering meter in the three-phase power supply line, a negative control terminal sampling value collected by a negative control terminal in the three-phase power supply line, the monthly average electricity consumption of the user in the same industry, the output electricity quantity of the special transformer and the like to the server 100. The server 100 obtains data such as a current value and a voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value collected by a metering meter in the three-phase power supply line, a negative control terminal sampling value collected by a negative control terminal in the three-phase power supply line, the monthly average power consumption of the user in the same industry, the output power of the special transformer and the like.
And S102, obtaining the three-phase current unbalance rate of the three-phase power supply line according to the current value of each phase line.
The three-phase current unbalance rate refers to the difference of the three-phase currents, the difference of the three-phase currents is small under the normal condition, and if the difference is too large, the electricity stealing condition can exist. Based on this, after obtaining the current value of each phase line, the server 100 calculates the current value of each phase line and the average value of the current of each phase line to obtain the imbalance rate of the three-phase current of the three-phase power supply line. The three-phase current unbalance rate is as follows:wherein, IA、IB、ICare respectively three-phase power supply linesThe current value of each phase line.
Step S103, obtaining a voltage difference of the three-phase power supply line according to the voltage value of each phase line and a preset standard voltage value.
The normal user voltage is relatively stable, and if the user loses voltage, an abnormality may occur, for example, the voltage of each phase in a three-phase power supply line is 100V under a normal condition, the lower limit value is 80V, and when the voltage of any phase in the three-phase power supply line is lower than 80V, a power stealing condition may exist. Based on this, after obtaining the voltage value of each phase line, the server 100 performs difference operation according to the voltage value of each phase line and the voltage value of the standard voltage to obtain the voltage difference of the three-phase power supply line.
And step S104, obtaining the power of each phase line in the three-phase power supply line according to the current value and the corresponding voltage value.
Because the current value and the voltage value of each phase line in the three-phase power supply circuit are known, the power of each phase line in the three-phase power supply circuit can be obtained through calculation according to the current value and the voltage value of each phase line in the three-phase power supply circuit.
It is understood that in other embodiments, the power of each phase line of the three-phase power supply line may be transmitted to the server 100 by the power data monitoring system 200.
And step S105, obtaining power change parameters of the three-phase power supply circuit according to the change condition of the power of each phase line in the three-phase power supply circuit.
The power factor of a normal user is generally a stable value and does not increase or decrease suddenly. Therefore, after obtaining the power of each phase line in the three-phase power supply line, the server 100 obtains the power variation parameter of each phase line in the three-phase power supply line according to the power variation condition of each phase line.
And S106, obtaining a meter sampling alternate sampling comparison value of the three-phase power supply circuit according to the meter sampling value and the negative control terminal sampling value.
A metering gauge and a negative control terminal for metering the power consumption of a user are arranged in a three-phase power supply line, and for electricity stealing, hands and feet can be generally only made on the metering gauge but not on the negative control terminal. Therefore, the server 100 further calculates the meter sampling value (power consumption) collected by the metering meter in the three-phase power supply line and the load control terminal sampling value (power consumption) collected by the load control terminal to obtain the meter sampling comparison value of the three-phase power supply line. The meter sampling and alternate sampling contrast value is 100 (meter sampling value-negative control terminal sampling value)/meter sampling value.
And S107, obtaining the electric quantity ratio discrete coefficient of the user and the user in the same industry according to the average monthly electric consumption of the user and the average monthly electric consumption of the user in the same industry.
The server 100 or the power data monitoring system 200 records in advance an industry corresponding to each user. After the average monthly power consumption of the user and the average monthly power consumption of the users in the same industry are obtained, the server 100 compares the average monthly power consumption of the user with the average monthly power consumption of the users in the same industry and analyzes the average monthly power consumption to obtain the electric quantity ratio dispersion coefficient of the user and the users in the same industry. The electric quantity ratio discrete coefficient is as follows:wherein,Xithe ratio of the user's monthly electricity consumption to the user's monthly electricity consumption of the same industry, N represents the monthly share per year, and N is 12.
And step S108, obtaining the line loss rate of the special transformer according to the output electric quantity of the special transformer and the sampling value of the meter collected by the metering ammeter.
There is some loss of power during transmission, but if there is too much loss, there may be a situation of stealing power. Therefore, after the output electric quantity of the special transformer and the meter sampling value collected by the metering ammeter are obtained, the server 100 calculates according to the output electric quantity of the special transformer and the meter sampling value collected by the metering ammeter to obtain the line loss rate of the special transformer. The line loss rate may be a daily line loss rate or a monthly line loss rate, which is not specifically limited in the embodiment of the present invention. The line loss rate formula is 100 (output electric quantity of transformer-sampling value of meter)/output electric quantity of transformer. In the embodiment of the invention, the line loss rate is set to be 20% on line, and if the line loss rate exceeds 20%, the situation of electricity stealing is determined to exist.
And step S109, carrying out weighting operation according to the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the table sampling alternate sampling comparison value, the electric quantity ratio discrete coefficient and the line loss rate to obtain the electricity stealing suspicion coefficient.
After the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the meter acquisition and alternating sampling comparison value, the electric quantity ratio dispersion coefficient and the line loss rate are obtained, the server 100 performs weighting operation according to the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the meter acquisition and alternating sampling comparison value, the electric quantity ratio dispersion coefficient and the line loss rate to obtain the electricity stealing suspicion coefficient.
In the embodiment of the invention, the false current value is Y1, the voltage difference is Y2, the three-phase current imbalance ratio is Y3, the power change parameter is Y4, the table sampling alternate sampling contrast value is Y5, the electric quantity ratio dispersion coefficient is Y6, and the line loss ratio is Y7, the parameters are sequentially and correspondingly weighted to K1, K2, K3, K4, K5, K6 and K7, and the electricity stealing suspicion coefficient is K1Y1+ K2Y2+ K3Y3+ K4Y4+ K5Y5+ K6Y6+ K7Y 7.
And step S110, judging that the user has suspicion of electricity stealing when the suspicion coefficient of electricity stealing is higher than a preset parameter threshold value.
The server 100 is preset with a parameter threshold for evaluating whether the user has the suspicion of electricity stealing, after the suspicion coefficient of electricity stealing is obtained, the server 100 compares the suspicion coefficient of electricity stealing with the set parameter threshold to judge whether the suspicion coefficient of electricity stealing is higher than the preset parameter threshold, and if the suspicion coefficient of electricity stealing is higher than the preset parameter threshold, the user is judged to have the suspicion of electricity stealing.
According to practical situations, in the embodiment of the present invention, the value of each weight is preferably between 0.5 and 2, and the parameter threshold is preferably about 3.
In summary, the electricity stealing analysis method provided by the invention can automatically calculate the electricity stealing suspicion coefficient of each user according to the monitored electricity utilization operation data of the user, and judge that the electricity stealing suspicion exists in the user when the electricity stealing suspicion coefficient is higher than the preset parameter threshold value, so that an inspector can investigate whether the electricity stealing behavior exists in the suspected user on site. The electricity stealing analysis method provided by the invention realizes intelligent abnormity monitoring, tracking positioning and analysis diagnosis by replacing manpower with a system, and provides an intelligent and informatization means for developing electricity stealing prevention work.
Referring to fig. 4, a functional module of the electricity larceny analyzing apparatus 110 shown in fig. 2 according to a preferred embodiment of the present invention is shown. The electricity stealing analysis device 110 comprises an acquisition module 111, an operation module 113 and a determination module 115.
The obtaining module 111 is configured to obtain a current value and a voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value collected by a metering ammeter in the three-phase power supply line, a negative control terminal sampling value collected by a negative control terminal in the three-phase power supply line, a monthly average power consumption of a user in the same industry, and an output power consumption of the special transformer.
It is understood that the obtaining module 111 may be configured to perform the step S101.
The operation module 113 is configured to obtain a three-phase current imbalance rate of the three-phase power supply line according to a current value of each phase line.
The three-phase current unbalance rate is as follows:wherein, IA、IB、ICthe current values of the phase lines in the three-phase power supply line are respectively.
It is understood that the operation module 113 may be configured to execute the step S102.
The operation module 113 is further configured to obtain a voltage difference of the three-phase power supply line according to the voltage value of each phase line and a preset standard voltage value.
It is understood that the operation module 113 can also be used to execute the step S103.
The operation module 113 is further configured to obtain power of each phase line in the three-phase power supply line according to the current value and the corresponding voltage value.
It is understood that the operation module 113 can also be used to execute the step S104.
The operation module 113 is further configured to obtain a power variation parameter of the three-phase power supply line according to a variation condition of power of each phase line in the three-phase power supply line.
It is understood that the operation module 113 can also be used to execute the step S105.
And the operation module 113 is further configured to obtain a meter sampling alternate sampling comparison value of the three-phase power supply line according to the sampling value of the meter and the sampling value of the negative control terminal.
It is understood that the operation module 113 can also be used to execute the step S106.
The operation module 113 is further configured to obtain an electric quantity ratio dispersion coefficient between the user and the user in the same industry according to the average monthly electricity consumption of the user and the average monthly electricity consumption of the user in the same industry.
The electric quantity ratio discrete coefficient is as follows:wherein,Xithe ratio of the user's monthly electricity consumption to the user's monthly electricity consumption of the same industry, N represents the monthly share per year, and N is 12.
It is understood that the operation module 113 can also be used to execute the step S107.
The operation module 113 is further configured to obtain a line loss rate of the dedicated transformer according to the output electric quantity of the dedicated transformer and the sampling value of the meter collected by the metering ammeter.
It is understood that the operation module 113 can also be used to execute the step S108.
The operation module 113 is further configured to perform weighted operation according to the current value, the voltage difference, the three-phase current imbalance rate, the power variation parameter, the table sampling and alternate sampling comparison value, the electric quantity ratio dispersion coefficient and the line loss rate to obtain the electricity stealing suspicion coefficient.
It is understood that the operation module 113 can also be used to execute the step S109.
The determination module 115 is configured to determine whether the electricity stealing suspicion coefficient is higher than a preset parameter threshold, and determine that the user has an electricity stealing suspicion when the electricity stealing suspicion coefficient is higher than the preset parameter threshold.
It is understood that the determination module 115 can be used to execute the step S110.
In summary, the electricity stealing analysis device 110 provided by the invention can automatically calculate the electricity stealing suspicion coefficient of each user according to the monitored electricity utilization operation data of the user, and determine that the electricity stealing suspicion exists in the user when the electricity stealing suspicion coefficient is higher than the preset parameter threshold value, so that an inspector can investigate whether the electricity stealing behavior exists in the suspected user on site. The electricity stealing analysis device 110 provided by the invention realizes intelligent abnormity monitoring, tracking positioning and analysis diagnosis by a system instead of manual work, and provides an intelligent and informatization means for developing electricity stealing prevention work.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules 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. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (5)
1. A power stealing analysis method applied to a server and used for carrying out power stealing analysis on a user accessing a special transformer is characterized by comprising the following steps:
obtaining the current value and the voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value collected by a metering ammeter in the three-phase power supply line, a negative control terminal sampling value collected by a negative control terminal in the three-phase power supply line, the monthly average power consumption of the user in the same industry and the output electric quantity of the special transformer;
obtaining the three-phase current unbalance rate of the three-phase power supply line according to the current value of each phase line;
obtaining the voltage difference of the three-phase power supply line according to the voltage value of each phase line and a preset standard voltage value;
obtaining the power of each phase line in the three-phase power supply line according to the current value and the corresponding voltage value;
obtaining power variation parameters of the three-phase power supply circuit according to the variation condition of the power of each phase line in the three-phase power supply circuit;
obtaining a meter sampling alternate sampling comparison value of the three-phase power supply circuit according to the meter sampling value and the load control terminal sampling value;
obtaining an electric quantity ratio discrete coefficient of the user and the same-industry user according to the average monthly electric quantity of the user and the average monthly electric quantity of the same-industry user; the electric quantity ratio discrete coefficient is as follows:wherein,Xithe ratio of the user monthly electricity consumption to the same industry user monthly electricity consumption is N-12;
obtaining the line loss rate of the special transformer according to the output electric quantity of the special transformer and the meter sampling value acquired by the metering ammeter;
carrying out weighting operation according to the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the meter sampling and alternate sampling comparison value, the electric quantity ratio discrete coefficient and the line loss rate to obtain an electricity stealing suspicion coefficient;
and when the electricity stealing suspicion coefficient is higher than a preset parameter threshold value, judging that the electricity stealing suspicion exists in the user.
3. An electricity stealing analysis device applied to a server and used for analyzing electricity stealing of users accessing a special transformer, the electricity stealing analysis device is characterized by comprising:
the acquisition module is used for acquiring the current value and the voltage value of each phase line in a three-phase power supply line of the special transformer, a meter sampling value acquired by a metering ammeter in the three-phase power supply line, a negative control terminal sampling value acquired by a negative control terminal in the three-phase power supply line, the monthly average power consumption of the user in the same industry and the output electric quantity of the special transformer;
the operation module is used for obtaining the three-phase current unbalance rate of the three-phase power supply line according to the current value of each phase line;
the operation module is also used for obtaining the voltage difference of the three-phase power supply circuit according to the voltage value of each phase line and a preset standard voltage value;
the operation module is further used for obtaining the power of each phase line in the three-phase power supply circuit according to the current value and the corresponding voltage value;
the operation module is also used for obtaining power change parameters of the three-phase power supply circuit according to the change condition of the power of each phase line in the three-phase power supply circuit;
the operation module is also used for obtaining a meter sampling and alternate sampling comparison value of the three-phase power supply circuit according to the meter sampling value and the negative control terminal sampling value;
the operation module is also used for obtaining an electric quantity ratio discrete coefficient of the user and the user in the same industry according to the average monthly electricity consumption of the user and the average monthly electricity consumption of the user in the same industry; the electric quantity ratio discrete coefficient is as follows:wherein, Xithe ratio of the user monthly electricity consumption to the same industry user monthly electricity consumption is N-12;
the operation module is further used for obtaining the line loss rate of the special transformer according to the output electric quantity of the special transformer and the meter sampling value acquired by the metering ammeter;
the operation module is further used for carrying out weighting operation according to the current value, the voltage difference, the three-phase current unbalance rate, the power change parameter, the meter sampling and alternate sampling comparison value, the electric quantity ratio dispersion coefficient and the line loss rate to obtain an electricity stealing suspicion coefficient;
and the judging module is used for judging that the user has the suspicion of electricity stealing when the suspicion coefficient of electricity stealing is higher than a preset parameter threshold value.
5. A server, comprising a memory and a processor, the memory having a computer program stored thereon, wherein the processor executes the computer program to perform the steps of the method according to any of the claims 1-2.
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CN110749784B (en) * | 2019-08-05 | 2022-07-08 | 上海大学 | Line electricity stealing detection method based on electric power data wavelet analysis |
CN111652761B (en) * | 2020-07-28 | 2020-12-01 | 国网江西省电力有限公司供电服务管理中心 | Multi-source feature fusion electricity stealing behavior detection method based on evidence theory |
CN112415310B (en) * | 2020-11-06 | 2023-05-02 | 天津天大求实电力新技术股份有限公司 | User-side electricity stealing behavior identification and analysis method and application |
CN112614012A (en) * | 2020-12-11 | 2021-04-06 | 国网北京市电力公司 | User electricity stealing identification method and device |
CN112633692A (en) * | 2020-12-24 | 2021-04-09 | 国网河北省电力有限公司保定供电分公司 | Acquisition method and device for electricity stealing checking threshold value, and electricity stealing checking device and method |
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CN113447712B (en) * | 2021-08-30 | 2022-01-25 | 广东电网有限责任公司中山供电局 | Method for discovering electricity stealing of special variable metering device through multi-dimensional combination |
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