CN109116072A - stealing analysis method, device and server - Google Patents
stealing analysis method, device and server Download PDFInfo
- Publication number
- CN109116072A CN109116072A CN201810714417.2A CN201810714417A CN109116072A CN 109116072 A CN109116072 A CN 109116072A CN 201810714417 A CN201810714417 A CN 201810714417A CN 109116072 A CN109116072 A CN 109116072A
- Authority
- CN
- China
- Prior art keywords
- phase
- user
- stealing
- line
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/02—Constructional details
- G01R11/24—Arrangements for avoiding or indicating fraudulent use
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of stealing analysis method, device and servers, are related to electric power analysis field.Stealing analysis method is applied to server, stealing analysis is carried out for the user to access dedicated transformer, and this method includes adopting friendship according to current value, voltage difference, three-phase current unbalance rate, changed power parameter, table and adopting reduced value, electricity ratio coefficient of dispersion and line loss per unit to be weighted to obtain stealing suspicion coefficient;When stealing suspicion coefficient is higher than preset parameter threshold, determine that there are stealing suspicion by user.Stealing analysis method, device and server provided by the invention can be according to the user power utilization operation datas monitored, automatically the stealing suspicion coefficient of each user is calculated, and when stealing suspicion coefficient is higher than preset parameter threshold, determining user, there are stealing suspicion, so that inspector's site inspection suspicion user whether there is electricity stealing.
Description
Technical field
The present invention relates to electric power analysis fields, in particular to a kind of stealing analysis method, device and server.
Background technique
For a long time, stealing problem annoyings always electric power enterprise.Some units or personal be used as theft electric energy are made a profit
Means take various methods to escape electrical energy measurement, are not handed over achieving the purpose that or paid tariff less, seriously compromise power supply enterprise
Legitimate rights and interests have been upset normally for electricity consumption order, and will cause the damage of electric power facility, and it is hidden to form great safety utilization of electric power
Suffer from.Each power supply bureau increases always the working dynamics of strike stealing, while also constantly improve the technological means opposed electricity-stealing.But at present
There are still biggish limitations for Prevention Stealing Electricity Technology, and electricity filching means are increasingly hidden, diversified, rapid and high-technicalization, instead
Stealing difficulty is increasing.
Summary of the invention
In view of this, the embodiment of the present invention is designed to provide a kind of stealing analysis method, device and server, to change
The kind above problem.
The embodiments of the present invention are implemented as follows:
In a first aspect, a kind of stealing analysis method provided in an embodiment of the present invention, is applied to server, for special to accessing
Stealing analysis is carried out with the user of transformer, which comprises
Obtain the current value and voltage value, the three phase supply of each phase line in the three-phase power line of the dedicated transformer
The collected gauge table sampled value of metering ammeter in route, the collected negative control terminal of negative control terminal in the three-phase power line
Sampled value, the monthly average electricity consumption of the user, user of the same trade monthly average electricity consumption and the dedicated transformer output
Electricity;
Current value according to each phase line obtains the three-phase current unbalance rate of the three-phase power line;
The voltage difference of the three-phase power line is obtained according to the voltage value of each phase line and preset standard voltage value;
The power of each phase line in the three-phase power line is obtained according to the current value and the corresponding voltage value;
Situation of change according to the power of each phase line in the three-phase power line obtains the function of the three-phase power line
Rate running parameter;
The table for obtaining the three-phase power line according to the gauge table sampled value and the negative control terminal sampled value adopts friendship
Adopt reduced value;
The user and same is obtained according to the monthly average electricity consumption of the user and the monthly average electricity consumption of user of the same trade
The electricity ratio coefficient of dispersion of industry user;
Institute is obtained according to the output electricity of the dedicated transformer and the collected gauge table sampled value of the metering ammeter
State the line loss per unit of dedicated transformer;
According to the current value, voltage difference, the three-phase current unbalance rate, the changed power parameter, described
Biao Caijiaocai reduced value, the electricity ratio coefficient of dispersion and the line loss per unit are weighted to obtain stealing suspicion coefficient;
When the stealing suspicion coefficient is higher than preset parameter threshold, determining the user, there are stealing suspicion.
Optionally, the three-phase current unbalance rate are as follows:Wherein, IA、IB、ICEach phase line respectively in three-phase power line
Current value.
Optionally, the electricity ratio coefficient of dispersion are as follows:Wherein,
XiFor user's month electricity consumption and user of the same trade the moon electricity consumption ratio, N=12.
Second aspect, the embodiment of the invention provides a kind of stealing analytical equipments, are applied to server, for special to accessing
Stealing analysis is carried out with the user of transformer, the stealing analytical equipment includes:
Module is obtained, the current value and voltage of each phase line in the three-phase power line for obtaining the dedicated transformer
Value, the collected gauge table sampled value of metering ammeter in the three-phase power line, negative control terminal in the three-phase power line
Collected negative control terminal sampled value, the monthly average electricity consumption of the user, the monthly average electricity consumption of user of the same trade and described
The output electricity of dedicated transformer;
Computing module, for obtaining the three-phase current unbalance of the three-phase power line according to the current value of each phase line
Rate;
The computing module is also used to obtain the three-phase confession according to the voltage value of each phase line and preset standard voltage value
The voltage difference of electric line;
The computing module is also used to obtain the three phase supply line according to the current value and the corresponding voltage value
The power of each phase line in road;
The computing module is also used to obtain institute according to the situation of change of the power of phase line each in the three-phase power line
State the changed power parameter of three-phase power line;
The computing module is also used to obtain described three according to the gauge table sampled value and the negative control terminal sampled value
The table of phase power supply line adopts friendship and adopts reduced value;
The computing module is also used to the monthly average electricity consumption according to the user and the monthly average electricity consumption of user of the same trade
Measure the electricity ratio coefficient of dispersion of the user and user of the same trade;
The computing module is also used to collected according to the output electricity of the dedicated transformer and the metering ammeter
Gauge table sampled value obtains the line loss per unit of the dedicated transformer;
The computing module is also used to according to the current value, voltage difference, the three-phase current unbalance rate, described
Changed power parameter, the table, which adopt friendship and adopt reduced value, the electricity ratio coefficient of dispersion and the line loss per unit, to be weighted
Obtain stealing suspicion coefficient;
Determination module, for determining the user when the stealing suspicion coefficient is higher than preset parameter threshold
There are stealing suspicion.
Optionally, the three-phase current unbalance rate are as follows:Wherein, IA、IB、ICEach phase line respectively in three-phase power line
Current value.
Optionally, the electricity ratio coefficient of dispersion are as follows:Wherein, XiFor user's month electricity consumption and user of the same trade the moon electricity consumption ratio, N=12.
The third aspect, the embodiment of the invention provides a kind of server, including memory, processor, in the memory
It is stored with the computer program that can be run on the processor, which is characterized in that the processor executes the computer journey
The step of any of the above-described described method is realized when sequence.
For the prior art, stealing analysis method, device and server provided by the invention have it is following the utility model has the advantages that
Stealing analysis method, device and server provided by the invention can run number according to the user power utilization monitored
According to, the stealing suspicion coefficient of each user is calculated automatically, and when stealing suspicion coefficient is higher than preset parameter threshold,
Determining user, there are stealing suspicion, so that inspector's site inspection suspicion user whether there is electricity stealing.The present invention mentions
Stealing analysis method, device and the server of confession, which are realized, to be replaced manually realizing intelligentized exception monitoring, tracking and positioning by system
And analyzing and diagnosing, intelligent and information-based means are provided to carry out work of electricity anti-stealing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the server that present pre-ferred embodiments provide and electric power data monitors the schematic diagram that system interacts.
Fig. 2 is the block diagram for the server that present pre-ferred embodiments provide.
Fig. 3 is the flow chart for the stealing analysis method that present pre-ferred embodiments provide.
Fig. 4 is the functional block diagram for the stealing analytical equipment that present pre-ferred embodiments provide.
Icon: 100- server;110- stealing analytical equipment;111- obtains module;113- computing module;115- determines mould
Block;130- memory;150- processor;170- communication unit;200- electric power data monitors system;300- network.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.Meanwhile of the invention
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
As shown in Figure 1, being the server 100 and electric power data monitoring 200 row of system friendship that present pre-ferred embodiments provide
Mutual schematic diagram.The server 100 monitors system 200 by network 300 and one or more electric power datas and carries out communication link
It connects, to carry out data communication or interaction.The server 100 can be network server, database server etc..The electric power
Data monitoring system 200 be Utilities Electric Co. server for electric power data in electric system to be monitored and counted or after
Platform terminal device.
As shown in Fig. 2, being the block diagram of the server 100.The server 100 includes stealing analytical equipment
110, memory 130, processor 150 and communication unit 170, each element is directly or indirectly electrically connected between each other, with reality
The transmission or interaction of existing data.For example, these elements can be realized between each other by one or more communication bus or signal wire
It is electrically connected.Stealing analytical equipment 110 includes described at least one can be stored in the form of software or firmware (firmware)
Software function module in memory 130.The processor 150 is for executing the executable mould stored in the memory 130
Block, such as software function module and computer program etc. included by the stealing analytical equipment 110.
Wherein, the memory 130 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..Wherein, memory 130 is for storing program, the processor 150 after receiving and executing instruction,
Execute described program.The communication unit 170 is used to establish the server 100 and the electric power number by the network 300
According to the communication connection between monitoring system.
Referring to Fig. 3, being the stealing applied to stealing analytical equipment 110 shown in Fig. 2 that present pre-ferred embodiments provide
The flow chart of electricity analytical method.Detailed process shown in Fig. 3 will be described in detail below.
Step S101, the current value and voltage value, three-phase for obtaining each phase line in the three-phase power line of dedicated transformer supply
The collected gauge table sampled value of metering ammeter in electric line, the collected negative control terminal of negative control terminal is adopted in three-phase power line
Sample value, the monthly average electricity consumption of user, the monthly average electricity consumption of user of the same trade and the output electricity of dedicated transformer.
In the embodiment of the present invention, the server 100 carries out data by network 300 with electric power data monitoring system 200
Interaction.The electric power data monitoring system 200 is Utilities Electric Co. for electric power data in electric system to be monitored and united
The server or background terminal of meter.The electric power data monitoring system 200, which records, has the three-phase of the dedicated transformer to supply
The collected gauge table sampling of metering ammeter in the current value and voltage value, the three-phase power line of each phase line in electric line
Value, the collected negative control terminal sampled value of negative control terminal in the three-phase power line, the user monthly average electricity consumption, same
The data such as the output electricity of the monthly average electricity consumption of industry user and the dedicated transformer.
When the user to access dedicated transformer carries out stealing analysis, electric power data monitors system 200 for dedicated transformation
The collected meter of metering ammeter in the current value and voltage value, the three-phase power line of each phase line in the three-phase power line of device
The collected negative control terminal sampled value of negative control terminal, the monthly average of the user in scale sampled value, the three-phase power line
The data such as the output electricity of electricity consumption, the monthly average electricity consumption of user of the same trade and the dedicated transformer are sent to server
100.The current value and voltage value, the three-phase that server 100 obtains each phase line in the three-phase power line of dedicated transformer supply
The collected gauge table sampled value of metering ammeter in electric line, the collected negative control of negative control terminal is eventually in the three-phase power line
Hold the defeated of sampled value, the monthly average electricity consumption of the user, the monthly average electricity consumption of user of the same trade and the dedicated transformer
The data such as electricity out.
Step S102, the current value according to each phase line obtain the three-phase current unbalance rate of three-phase power line.
Three-phase current unbalance rate refers to the difference in size between three-phase current, big between three-phase current under normal circumstances
Small difference is smaller, and there may be stealing situations if difference is excessive.Based on this, after the current value for obtaining each phase line, service
Device 100 carries out operation according to the current value of each phase line and the average value of each phase line current and obtains the three-phase current of three-phase power line
Unbalance factor.The three-phase current unbalance rate are as follows:Wherein, IA、IB、ICEach phase line respectively in three-phase power line
Current value.
Step S103 obtains the voltage of three-phase power line according to the voltage value of each phase line and preset standard voltage value
Difference.
Normal users voltage is relatively stable, is likely to occur if user's decompression each in exception, such as three-phase power line
Mutually under normal circumstances voltage be 100V, lower limit value 80V, when phase any one in three-phase power line voltage be lower than 80V, then
There may be stealing situations.Based on this, after the voltage value for obtaining each phase line, server 100 according to the voltage value of each phase line with
The voltage value of normal voltage carries out difference operation and obtains the voltage difference of three-phase power line.
Step S104 obtains the power of each phase line in three-phase power line according to current value and corresponding voltage value.
Due to the current value and voltage value of each phase line in known three-phase power line, according to each in three-phase power line
The current value and voltage value of phase line can operation obtain the power of each phase line in three-phase power line.
It should be understood that the power of each phase line can also be by electricity in three-phase power line in other some embodiments
Force data monitoring system 200 is sent to server 100.
Step S105, the situation of change according to the power of each phase line in three-phase power line obtain the function of three-phase power line
Rate running parameter.
The power factor (PF) of normal users is generally stationary value, will not uprush or bust.Therefore, three-phase power line is being obtained
In each phase line power after, server 100 obtains each in three-phase power line according to the changed power situation of each phase line
The changed power parameter of phase line.
Step S106 obtains Cai Jiaocai pairs of table of three-phase power line according to gauge table sampled value and negative control terminal sampled value
Ratio.
The gauge table and negative control terminal for being measured to user power consumption is provided in three-phase power line, for
Stealing can only generally juggle things on gauge table and cannot juggle things on negative control terminal.Therefore server 100 is also according to three-phase
The collected gauge table sampled value (electricity consumption) of metering ammeter and the collected negative control terminal sampling of negative control terminal in power supply line
The table that value (electricity consumption) progress operation obtains three-phase power line adopts friendship and adopts reduced value.It is 100* that the table, which adopts friendship and adopts reduced value,
(gauge table sampled value-negative control terminal sampled value)/gauge table sampled value.
Step S107 obtains user and same according to the monthly average electricity consumption of user and the monthly average electricity consumption of user of the same trade
The electricity ratio coefficient of dispersion of industry user.
Server 100 or electric power data monitoring system 200 are prerecorded with industry corresponding to each user.It is being used
After the monthly average electricity consumption at family and the monthly average electricity consumption of user of the same trade, server 100 by the monthly average electricity consumption of user with
The monthly average electricity consumption of user of the same trade compares and analyzes to obtain the electricity ratio coefficient of dispersion of user and user of the same trade.Institute
State electricity ratio coefficient of dispersion are as follows:Wherein,XiFor with
Family month electricity consumption and user of the same trade the moon electricity consumption ratio, N indicates annual moon deal, N=12.
Step S108, output electricity and the collected gauge table sampled value of metering ammeter according to dedicated transformer obtain specially
With the line loss per unit of transformer.
There is certain loss in electricity, but if loss is excessive, then there may be the situations of stealing during transmission.
Therefore after the collected gauge table sampled value of output electricity and metering ammeter for obtaining dedicated transformer, 100 basis of server
The collected gauge table sampled value of the output electricity and metering ammeter of dedicated transformer carries out operation and obtains the line of dedicated transformer
Loss rate.The line loss per unit can be with day line loss per unit, is also possible to a moon line loss per unit, does not limit specifically in the embodiment of the present invention.Line loss
Rate formula is the output electricity of 100* (output electricity-gauge table sampled value of transformer)/transformer.In the embodiment of the present invention,
Line loss per unit is online to be set as 20%, regards as that there may be stealing situations more than 20%.
Step S109, according to current value, voltage difference, three-phase current unbalance rate, changed power parameter, table Cai Jiaocai comparison
Value, electricity ratio coefficient of dispersion and line loss per unit are weighted to obtain stealing suspicion coefficient.
It obtains current value, voltage difference, three-phase current unbalance rate, changed power parameter, table and adopts friendship adopting reduced value, electricity ratio
After being worth coefficient of dispersion and line loss per unit, server 100 is joined according to current value, voltage difference, three-phase current unbalance rate, changed power
Number, table, which adopt friendship and adopt reduced value, electricity ratio coefficient of dispersion and line loss per unit, to be weighted to obtain stealing suspicion coefficient.
In the embodiment of the present invention, false current value is Y1, voltage difference Y2, three-phase current unbalance rate are Y3, power becomes
Change that parameter is Y4, table adopts friendship and adopts that reduced value is Y5, electricity ratio coefficient of dispersion is Y6, line loss per unit Y7, above-mentioned parameters according to
Secondary corresponding weight is K1, K2, K3, K4, K5, K6, K7, then stealing suspicion coefficient is K1Y1+K2Y2+K3Y3+K4Y4+K5Y5+
K6Y6+K7Y7。
Step S110 determines that there are stealing suspicion by user when stealing suspicion coefficient is higher than preset parameter threshold.
Server 100, which is preset with, whether there is the parameter threshold of stealing suspicion for evaluating user, obtain stealing
After suspicion coefficient, stealing suspicion coefficient is compared server 100 with the parameter threshold of the setting, judges stealing suspicion coefficient
Whether preset parameter threshold is higher than, if being higher than preset parameter threshold, determining the user, there are stealing suspicion
It doubts.
According to the actual situation, in the embodiment of the present invention, the value of each weight is to be that preferably, parameter threshold is with 3 left sides between 0.5-2
The right side is preferable.
In conclusion stealing analysis method provided by the invention can be according to the user power utilization operation data monitored, certainly
The dynamic stealing suspicion coefficient for calculating each user, and when stealing suspicion coefficient is higher than preset parameter threshold, determine
There are stealing suspicion by user, so that inspector's site inspection suspicion user whether there is electricity stealing.It is provided by the invention
Stealing analysis method, which is realized, to be replaced manually realizing intelligentized exception monitoring, tracking and positioning and analyzing and diagnosing by system, to carry out
Work of electricity anti-stealing provides intelligent and information-based means.
Referring to Fig. 4, being the functional module for the stealing analytical equipment 110 shown in Fig. 2 that present pre-ferred embodiments provide
Schematic diagram.The stealing analytical equipment 110 includes obtaining module 111, computing module 113 and determination module 115.
The current value and voltage for obtaining module 111 and being used to obtain each phase line in the three-phase power line of dedicated transformer
Value, the collected gauge table sampled value of metering ammeter in three-phase power line, negative control terminal is collected in three-phase power line
Negative control terminal sampled value, the monthly average electricity consumption of user, the monthly average electricity consumption of user of the same trade and the output of dedicated transformer
Electricity.
It should be understood that the acquisition module 111 can be used for executing above-mentioned step S101.
The computing module 113 is used to obtain the three-phase current of the three-phase power line not according to the current value of each phase line
Balanced ratio.
The three-phase current unbalance rate are as follows:Wherein, IA、IB、ICEach phase line respectively in three-phase power line
Current value.
It should be understood that the computing module 113 can be used for executing above-mentioned step S102.
The computing module 113 is also used to obtain three phase supply according to the voltage value of each phase line and preset standard voltage value
The voltage difference of route.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S103.
The computing module 113 is also used to obtain each phase line in three-phase power line according to current value and corresponding voltage value
Power.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S104.
The computing module 113 is also used to obtain three-phase according to the situation of change of the power of each phase line in three-phase power line
The changed power parameter of power supply line.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S105.
The computing module 113 is also used to obtain three-phase power line according to gauge table sampled value and negative control terminal sampled value
Table adopt friendship and adopt reduced value.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S106.
The computing module 113 is also used to the monthly average electricity consumption according to user and the monthly average electricity consumption of user of the same trade
Obtain the electricity ratio coefficient of dispersion of user and user of the same trade.
The electricity ratio coefficient of dispersion are as follows:Wherein,
XiFor user's month electricity consumption and user of the same trade the moon electricity consumption ratio, N indicates annual moon deal, N=12.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S107.
The computing module 113 is also used to output electricity and the collected gauge table of metering ammeter according to dedicated transformer
Sampled value obtains the line loss per unit of dedicated transformer.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S108.
The computing module 113 be also used to according to current value, voltage difference, three-phase current unbalance rate, changed power parameter,
Biao Caijiaocai reduced value, electricity ratio coefficient of dispersion and line loss per unit are weighted to obtain stealing suspicion coefficient.
It should be understood that the computing module 113 can be also used for executing above-mentioned step S109.
The determination module 115 is used to judge whether stealing suspicion coefficient is higher than preset parameter threshold, and works as
When stealing suspicion coefficient is higher than preset parameter threshold, then determining user, there are stealing suspicion.
It should be understood that the determination module 115 can be used for executing above-mentioned step S110.
In conclusion stealing analytical equipment 110 provided by the invention can according to the user power utilization operation data monitored,
Automatically the stealing suspicion coefficient of each user is calculated, and when stealing suspicion coefficient is higher than preset parameter threshold, is sentenced
Determining user, there are stealing suspicion, so that inspector's site inspection suspicion user whether there is electricity stealing.The present invention provides
Stealing analytical equipment 110 realize by system replace manually realize intelligentized exception monitoring, tracking and positioning and analyzing and diagnosing, be
Carry out work of electricity anti-stealing and intelligent and information-based means are provided.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, flow chart and block diagram in attached drawing
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part of the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that function marked in the box can also be to be different from some implementations as replacement
The sequence marked in attached drawing occurs.For example, two continuous boxes can actually be basically executed in parallel, they are sometimes
It can execute in the opposite order, this depends on the function involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use the dedicated base for executing defined function or movement
It realizes, or can realize using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.It needs
Illustrate, herein, relational terms such as first and second and the like be used merely to by an entity or operation with
Another entity or operation distinguish, and without necessarily requiring or implying between these entities or operation, there are any this realities
The relationship or sequence on border.Moreover, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and explained.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (7)
1. a kind of stealing analysis method is applied to server, stealing analysis is carried out for the user to access dedicated transformer,
It is characterized in that, comprising:
Obtain the current value and voltage value, the three-phase power line of each phase line in the three-phase power line of the dedicated transformer
The collected negative control terminal sampling of negative control terminal in the collected gauge table sampled value of middle metering ammeter, the three-phase power line
Value, the monthly average electricity consumption of the user, the monthly average electricity consumption of user of the same trade and the output electricity of the dedicated transformer;
Current value according to each phase line obtains the three-phase current unbalance rate of the three-phase power line;
The voltage difference of the three-phase power line is obtained according to the voltage value of each phase line and preset standard voltage value;
The power of each phase line in the three-phase power line is obtained according to the current value and the corresponding voltage value;
The power that situation of change according to the power of each phase line in the three-phase power line obtains the three-phase power line becomes
Change parameter;
Cai Jiaocai pairs of table of the three-phase power line is obtained according to the gauge table sampled value and the negative control terminal sampled value
Ratio;
The user and the same industry are obtained according to the monthly average electricity consumption of the user and the monthly average electricity consumption of user of the same trade
The electricity ratio coefficient of dispersion of user;
It is obtained according to the output electricity of the dedicated transformer and the collected gauge table sampled value of the metering ammeter described special
With the line loss per unit of transformer;
It is adopted according to the current value, the voltage difference, the three-phase current unbalance rate, the changed power parameter, the table
Friendship adopts reduced value, the electricity ratio coefficient of dispersion and the line loss per unit and is weighted to obtain stealing suspicion coefficient;
When the stealing suspicion coefficient is higher than preset parameter threshold, determining the user, there are stealing suspicion.
2. the method according to claim 1, wherein the three-phase current unbalance rate are as follows:Wherein,
IA、IB、ICThe current value of each phase line respectively in three-phase power line.
3. the method according to claim 1, wherein the electricity ratio coefficient of dispersion are as follows:Wherein,XiFor the moon electricity consumption of user's month electricity consumption and user of the same trade
Ratio, N=12.
4. a kind of stealing analytical equipment is applied to server, stealing analysis is carried out for the user to access dedicated transformer,
It is characterized in that, the stealing analytical equipment includes:
Module is obtained, the current value and voltage value, institute of each phase line in the three-phase power line for obtaining the dedicated transformer
State that the collected gauge table sampled value of metering ammeter in three-phase power line, negative control terminal collects in the three-phase power line
Negative control terminal sampled value, the monthly average electricity consumption of the user, the monthly average electricity consumption of user of the same trade and the dedicated change
The output electricity of depressor;
Computing module, for obtaining the three-phase current unbalance rate of the three-phase power line according to the current value of each phase line;
The computing module is also used to obtain the three phase supply line according to the voltage value of each phase line and preset standard voltage value
The voltage difference on road;
The computing module is also used to obtain in the three-phase power line according to the current value and the corresponding voltage value
The power of each phase line;
The computing module is also used to obtain described three according to the situation of change of the power of phase line each in the three-phase power line
The changed power parameter of phase power supply line;
The computing module is also used to obtain the three-phase according to the gauge table sampled value and the negative control terminal sampled value and supplies
The table of electric line adopts friendship and adopts reduced value;
The computing module is also used to obtain according to the monthly average electricity consumption of the user and the monthly average electricity consumption of user of the same trade
To the electricity ratio coefficient of dispersion of the user and user of the same trade;
The computing module is also used to output electricity and the collected metering of the metering ammeter according to the dedicated transformer
Table sampled value obtains the line loss per unit of the dedicated transformer;
The computing module is also used to according to the current value, the voltage difference, the three-phase current unbalance rate, the power
Running parameter, the table, which adopt friendship and adopt reduced value, the electricity ratio coefficient of dispersion and the line loss per unit, to be weighted to obtain
Stealing suspicion coefficient;
Determination module, for determining that the user exists when the stealing suspicion coefficient is higher than preset parameter threshold
Stealing suspicion.
5. stealing analytical equipment according to claim 4, which is characterized in that the three-phase current unbalance rate are as follows:Wherein,
IA、IB、ICThe current value of each phase line respectively in three-phase power line.
6. stealing analytical equipment according to claim 4, which is characterized in that the electricity ratio coefficient of dispersion are as follows:Wherein,XiFor user month electricity consumption and use of the same trade
Family the moon electricity consumption ratio, N=12.
7. a kind of server, which is characterized in that including memory, processor, being stored in the memory can be in the processing
The computer program run on device, which is characterized in that realize that aforesaid right is wanted when the processor executes the computer program
The step of seeking 1-3 any described method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810714417.2A CN109116072B (en) | 2018-06-29 | 2018-06-29 | Electricity stealing analysis method and device and server |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810714417.2A CN109116072B (en) | 2018-06-29 | 2018-06-29 | Electricity stealing analysis method and device and server |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109116072A true CN109116072A (en) | 2019-01-01 |
CN109116072B CN109116072B (en) | 2021-04-16 |
Family
ID=64822071
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810714417.2A Active CN109116072B (en) | 2018-06-29 | 2018-06-29 | Electricity stealing analysis method and device and server |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109116072B (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110749784A (en) * | 2019-08-05 | 2020-02-04 | 上海大学 | Line electricity stealing detection method based on electric power data wavelet analysis |
CN111652761A (en) * | 2020-07-28 | 2020-09-11 | 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 |
WO2020191663A1 (en) * | 2019-03-27 | 2020-10-01 | 华北电力大学扬中智能电气研究中心 | Method and apparatus for detecting electricity consumption behavior, electronic device and storage medium |
CN112415310A (en) * | 2020-11-06 | 2021-02-26 | 天津天大求实电力新技术股份有限公司 | User side electricity stealing behavior identification 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 |
CN113447712A (en) * | 2021-08-30 | 2021-09-28 | 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 |
CN113985098A (en) * | 2021-10-29 | 2022-01-28 | 国网江苏省电力有限公司镇江供电分公司 | Method for improving electricity larceny prevention analysis accuracy based on real-time metering |
CN116027254A (en) * | 2023-03-22 | 2023-04-28 | 国网江苏省电力有限公司常州供电分公司 | Method for analyzing unbalanced current stealing of three-phase electric energy meter |
WO2024037351A1 (en) * | 2022-08-19 | 2024-02-22 | 西门子(中国)有限公司 | Non-technical loss detection method for electric power distribution system, electronic device, and storage medium |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009059386A2 (en) * | 2007-10-23 | 2009-05-14 | Renato De Queiroz Silva | System for detecting and preventing power theft |
US20120059609A1 (en) * | 2010-09-03 | 2012-03-08 | Lsis Co., Ltd. | System for electric energy management |
CN104951989A (en) * | 2014-03-26 | 2015-09-30 | 国家电网公司 | Electricity theft analyzing method and system |
CN105590166A (en) * | 2015-12-16 | 2016-05-18 | 国家电网公司 | Analytical judgment method for power consumption behavior of specific power transformer user in power distribution network |
CN105932700A (en) * | 2016-06-27 | 2016-09-07 | 国网冀北节能服务有限公司 | Three-phase imbalance governance method based on cloud service system |
CN107492043A (en) * | 2017-09-04 | 2017-12-19 | 国网冀北电力有限公司电力科学研究院 | stealing analysis method and device |
CN107766415A (en) * | 2017-09-08 | 2018-03-06 | 华南理工大学 | The poorly efficient industrial land method for quickly identifying in cities and towns based on electricity consumption data |
CN108062616A (en) * | 2017-11-20 | 2018-05-22 | 国网福建省电力有限公司 | A kind of multiplexing electric abnormality detection model with constraints |
-
2018
- 2018-06-29 CN CN201810714417.2A patent/CN109116072B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009059386A2 (en) * | 2007-10-23 | 2009-05-14 | Renato De Queiroz Silva | System for detecting and preventing power theft |
US20120059609A1 (en) * | 2010-09-03 | 2012-03-08 | Lsis Co., Ltd. | System for electric energy management |
CN104951989A (en) * | 2014-03-26 | 2015-09-30 | 国家电网公司 | Electricity theft analyzing method and system |
CN105590166A (en) * | 2015-12-16 | 2016-05-18 | 国家电网公司 | Analytical judgment method for power consumption behavior of specific power transformer user in power distribution network |
CN105932700A (en) * | 2016-06-27 | 2016-09-07 | 国网冀北节能服务有限公司 | Three-phase imbalance governance method based on cloud service system |
CN107492043A (en) * | 2017-09-04 | 2017-12-19 | 国网冀北电力有限公司电力科学研究院 | stealing analysis method and device |
CN107766415A (en) * | 2017-09-08 | 2018-03-06 | 华南理工大学 | The poorly efficient industrial land method for quickly identifying in cities and towns based on electricity consumption data |
CN108062616A (en) * | 2017-11-20 | 2018-05-22 | 国网福建省电力有限公司 | A kind of multiplexing electric abnormality detection model with constraints |
Non-Patent Citations (3)
Title |
---|
THOMAS B SMITH: "《Electricity theft: a comparative analysis》", 《ENERGY POLICY》 * |
牟树贞等: "《三相电压不平衡度的不同计算方法对比》", 《陕西电力》 * |
邓明斌等: "《基于多特征融合的窃电识别算法研究》", 《计算机与数字工程》 * |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020191663A1 (en) * | 2019-03-27 | 2020-10-01 | 华北电力大学扬中智能电气研究中心 | Method and apparatus for detecting electricity consumption behavior, electronic device and storage medium |
CN110749784A (en) * | 2019-08-05 | 2020-02-04 | 上海大学 | Line electricity stealing detection method based on electric power data wavelet analysis |
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 |
CN111652761A (en) * | 2020-07-28 | 2020-09-11 | 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 |
CN112415310A (en) * | 2020-11-06 | 2021-02-26 | 天津天大求实电力新技术股份有限公司 | User side electricity stealing behavior identification 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 |
CN113447712A (en) * | 2021-08-30 | 2021-09-28 | 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 |
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 |
CN113985098A (en) * | 2021-10-29 | 2022-01-28 | 国网江苏省电力有限公司镇江供电分公司 | Method for improving electricity larceny prevention analysis accuracy based on real-time metering |
WO2024037351A1 (en) * | 2022-08-19 | 2024-02-22 | 西门子(中国)有限公司 | Non-technical loss detection method for electric power distribution system, electronic device, and storage medium |
CN116027254A (en) * | 2023-03-22 | 2023-04-28 | 国网江苏省电力有限公司常州供电分公司 | Method for analyzing unbalanced current stealing of three-phase electric energy meter |
CN116027254B (en) * | 2023-03-22 | 2023-06-13 | 国网江苏省电力有限公司常州供电分公司 | Method for analyzing unbalanced current stealing of three-phase electric energy meter |
Also Published As
Publication number | Publication date |
---|---|
CN109116072B (en) | 2021-04-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109116072A (en) | stealing analysis method, device and server | |
CN107340492B (en) | Electric energy metering device fault analysis method based on big data mining and scene pre-judgment | |
CN107039970B (en) | Public affairs become taiwan area line loss per unit abnormal cause detection method and system | |
CN107680368A (en) | A kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data | |
CN110264015A (en) | It opposes electricity-stealing and checks monitoring method and platform | |
CN109299551A (en) | A kind of Condition Assessment for Power Transformer method | |
CN107328974B (en) | Electricity stealing identification method and device | |
CN108520357A (en) | A kind of method of discrimination, device and the server of line loss abnormal cause | |
CN107862467A (en) | A kind of electric network synthetic data target monitoring method and system based on big data platform | |
CN106156269A (en) | One is opposed electricity-stealing precise positioning on-line monitoring method | |
CN110703009B (en) | Abnormal analysis and processing method for line loss rate of transformer area | |
CN106842101A (en) | A kind of evaluation method of electric energy meter running status | |
CN106716454A (en) | Utilizing machine learning to identify non-technical loss | |
CN105203924A (en) | Electricity usage trend abnormity suspicion analysis method and anti-electric-larceny monitoring system | |
Haq et al. | A hybrid approach based on deep learning and support vector machine for the detection of electricity theft in power grids | |
CN110047013B (en) | Anti-private-transformer user intermittent electricity stealing method | |
CN104931775A (en) | Network multi-functional three-phase electric energy meter possessing electric energy quality analysis function | |
CN108152665A (en) | Multiplexing electric abnormality determines method and device | |
CN109542742A (en) | Database server hardware health evaluating method based on expert model | |
CN111443237B (en) | Method and system for determining compensation electric quantity | |
CN109003047A (en) | Performance statistical method, device and server | |
CN110929220A (en) | Power distribution network index weight calculation method and device | |
CN102185314A (en) | Power quality comprehensive evaluation method | |
Wu et al. | Analysis of electricity stealing based on user electricity characteristics of electricity information collection system | |
CN106709623B (en) | Power grid marketing inspection risk control method based on risk calculation model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |