CN112003372A - Remote intelligent monitoring method for preventing electricity theft - Google Patents
Remote intelligent monitoring method for preventing electricity theft Download PDFInfo
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- CN112003372A CN112003372A CN202010838076.7A CN202010838076A CN112003372A CN 112003372 A CN112003372 A CN 112003372A CN 202010838076 A CN202010838076 A CN 202010838076A CN 112003372 A CN112003372 A CN 112003372A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/66—Testing of connections, e.g. of plugs or non-disconnectable joints
- G01R31/67—Testing the correctness of wire connections in electric apparatus or circuits
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/40—Display of information, e.g. of data or controls
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Human Computer Interaction (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an electricity stealing prevention remote intelligent monitoring method, when electricity stealing occurs, line impedance obtained by reverse calculation of actual measurement values (voltage, active power and reactive power) changes and deviates from the real operation parameters of a line, the comprehensive comparison of impedance dynamic change characteristics and electric quantity data is taken as a basis, and a high-accuracy impedance dynamic real-time change characteristic model is established by adding a high-accuracy time tag to the impedance dynamic change process. According to the metering box electricity stealing prevention remote monitoring method, the extraction and analysis of the user electricity utilization information characteristics are carried out through windowing interpolation short-time Fourier transform, a user field electricity stealing behavior characteristic database is formed, on the basis of the user field electricity stealing behavior characteristic database, matrix theory knowledge is applied, an incidence matrix is established, the solution of the incidence matrix is solved, a user field electricity stealing behavior identification model is established by integrating the characteristic database and the incidence matrix, and the electricity stealing users can be rapidly and preliminarily determined when electricity stealing is carried out.
Description
Technical Field
The invention relates to the technical field of anti-electricity-theft remote monitoring, in particular to an anti-electricity-theft remote intelligent monitoring method.
Background
Because the electric energy cost accounts for a large proportion of the cost of enterprises, some illegal operators and individual private owners strive to take violence, place national laws and regulations in the way of neglecting, and steal national electric energy by means of no choice. The rampant behavior of stealing electricity seriously damages the legal rights and interests of enterprises and individuals, disturbs the normal order of power supply and utilization, obstructs the development of electric power utilities and brings serious threats to safe power utilization. Electricity stealing has risen to be a non-negligible social problem, and the electricity cost lost due to electricity stealing is reported to be as high as billions of yuan every year in the whole country, and the indirect loss caused by accidents due to electricity stealing is huge.
The practical difficulties faced by on-site electricity inspection personnel: at present, manual methods are mainly adopted for checking, including methods of checking unpacking, electric energy meter dismantling and the like, so that the workload is high, users are prone to strong objection, and the field work difficulty is high.
The current metering box has insufficient electricity stealing prevention function, and the main problems are as follows: the electricity stealing means is developed from more original ways such as private pulling, disorderly connecting and electricity using without meters, winding and crossing the electricity using with the electricity using meters, forging lead seals, privately opening the electricity using a junction box seal and a cover seal of the electricity using meters, damaging the electricity using meters and metering mutual inductors, electricity stealing by a 10kv lap joint electricity stealing way and the like to modern intelligent electricity stealing ways with high technical content such as electricity stealing by using a meter reversing device, electricity stealing by using a phase shifting way, electricity stealing by using a wired or wireless remote control way, electricity stealing by using a strong magnetic field, high-voltage discharging electricity stealing, electricity stealing by installing an electricity saver and the like. The technical content of the electricity stealing mode is obviously improved, the electricity stealing opportunity is flexible, and the investigation and evidence obtaining of electricity stealing are extremely difficult, so that the electricity stealing prevention remote intelligent monitoring method needs to be invented.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides the electricity larceny prevention remote intelligent monitoring method which has the advantages of providing guarantee and support for efficient, accurate and rapid electricity larceny early warning, improving the technical level of field electricity larceny prevention, maintaining the legal operation rights of companies and the like, and solves the problems of actual difficulty of field electricity utilization inspectors and insufficient electricity larceny prevention function of the conventional metering box.
(II) technical scheme
In order to realize the purposes of providing guarantee and support for the efficient, accurate and quick electricity stealing early warning, improving the technical level of field electricity stealing prevention and maintaining the legal operation rights and interests of a company, the invention provides one technical scheme as follows: an electricity larceny prevention remote intelligent monitoring method comprises the following steps:
s1, preliminary determination
When electricity stealing happens, the line impedance obtained by reverse calculation of actual measurement values (voltage, active power and reactive power) changes and deviates from the real operation parameters of the line, the extraction and analysis of the electricity utilization information characteristics of a user are carried out by windowing interpolation short-time Fourier transform (IPSTFT), the line impedance which does not change along with the operation of a power grid is selected as a reference quantity to form a user field electricity stealing behavior characteristic database, matrix theory knowledge is applied on the basis of the user field electricity stealing behavior characteristic database to establish an association matrix, the association matrix is abstracted by a graph theory method to solve the association matrix, a user field electricity stealing behavior identification model is established by integrating the characteristic database and the association matrix, and a primary electricity stealing user is determined.
S2, obtaining evidence of on-line electricity stealing
The method is based on comprehensive comparison of impedance dynamic change characteristics and electric quantity data, a high-accuracy impedance dynamic real-time change characteristic model is established by adding a high-accuracy time tag in the impedance dynamic change process, a metering information and impedance dynamic real-time change fusion model based on time matching is established, an anti-electricity-stealing non-destructive detection method based on comprehensive comparison of impedance dynamic real-time change and metering information is established, and online monitoring and evidence obtaining of electricity-stealing behaviors are achieved.
S3, video and audio evidence obtaining and electricity stealing user determination
After the electricity stealing users are preliminarily determined and the electricity stealing users are subjected to online evidence obtaining through the steps of S1 and S2, door control management is carried out on the preliminarily determined user metering cabinets through the camera equipment, when abnormal alarms or event records are generated by the metering cabinets and other equipment, the camera equipment is started, image acquisition is carried out on the surrounding conditions of the metering cabinets, the generated event conditions and the acquired image data are uploaded to the monitoring platform through the communication unit, the whole-process image obtaining and evidence obtaining of the field electricity stealing behaviors are achieved, and then accurate determination is carried out on the electricity stealing users through the obtained electricity stealing prevention legal evidence.
Preferably, in step S1, the user electricity consumption information features are extracted and analyzed through windowed interpolation short-time fourier transform (IpSTFT), including frequency domain features, time domain features and line resistance.
Preferably, in step S2, the measurement information includes information such as a port power measurement value, a loop loss, and a line location, and the measurement information is calculated in all aspects.
Preferably, in step S3, the image capturing device integrates image capturing, and sound recording, so as to satisfy the characteristics of high definition, portability, and concealment, and have the performance characteristics of high-speed transmission.
Preferably, the camera device in step S3 is working and performs real-time accurate evidence collection through cooperation of on-line detection, processing and display, the on-line detection includes wrong wiring identification, error verification, transformer precision machine transformation ratio detection and on-line monitoring, the on-line processing includes data analysis, a safety module and data storage, and the on-line display includes a display function, uplink communication and downlink communication.
Preferably, the on-line monitoring is to monitor the field detection quantity condition in real time through wrong wiring identification, error verification and mutual inductor precision and transformation ratio detection, and transmit the on-line monitoring quantity condition to the anti-electricity-stealing inspection master station system in real time.
Preferably, the data analysis mainly includes comprehensive analysis and judgment of electricity consumption conditions of the electric energy meter stored in the data storage, such as electric quantity, voltage, current, event record and the like, and video and audio electricity stealing evidence obtained by the image pickup device is stored in the data storage.
Preferably, the display function is to display the detection states of various functions, the voltage and current values or waveforms, the electricity stealing result and the like, the communication unit comprises uplink communication and downlink communication, the uplink communication is connected with the electricity anti-stealing inspection master station system through 4G or other communication modes, the downlink communication is communication between the detector and the electric energy meter, the communication mode is infrared, and an RS485 communication interface is reserved.
(III) advantageous effects
Compared with the prior art, the invention provides an electricity larceny prevention remote intelligent monitoring method, which has the following beneficial effects:
1. the method comprises the steps of extracting and analyzing the electricity utilization information characteristics of a user through windowing interpolation short-time Fourier transform (IPSTFT) by adopting the actual measurement values (voltage, active power and reactive power) to obtain line impedance which changes and deviates from the real operation parameters of the line, selecting the line impedance which does not change along with the operation of a power grid as a reference, forming a user field electricity stealing behavior characteristic database, establishing an association matrix by applying matrix theoretical knowledge on the basis of the user field electricity stealing behavior characteristic database, abstracting the association matrix through a graph theory method, solving the solution of the association matrix, establishing a user field electricity stealing behavior identification model by integrating the characteristic database and the association matrix, and quickly and preliminarily determining electricity stealing users during electricity stealing.
2. The metering box electricity larceny prevention remote monitoring method is based on comprehensive comparison of impedance dynamic change characteristics and electric quantity data, adds a high-accuracy time label to the impedance dynamic change process, establishes a high-accuracy impedance dynamic real-time change characteristic model, establishes a metering information and impedance dynamic real-time change fusion model based on time matching, establishes an electricity larceny prevention non-destructive detection method based on comprehensive comparison of impedance dynamic real-time change and metering information, achieves online monitoring and evidence obtaining of electricity larceny behaviors, can effectively obtain evidence of electricity larceny behaviors of users, effectively solves the problem of manual inspection, comprises methods of checking and removing boxes, electric energy meters and the like, is large in workload, and easily causes strong objection of users, and has large field work difficulty.
3. This electricity larceny prevention remote monitoring method of batch meter, after stealing electric user and online evidence collection through the preliminary determination, carry out the gate control management through camera equipment to the user's batch meter cabinet of preliminary determination, when equipment such as above-mentioned batch meter produces unusual warning or incident record, the image acquisition unit starts, carry out image acquisition to the situation around the batch meter (cabinet), and pass to monitor platform through the communication unit to the incident situation that produces and the image data of gathering, realize the whole range to stealing the electricity action and make a video recording evidence of getting, then carry out accurate determination to stealing electric user with obtaining anti-electricity-stealing legal evidence, can accurate and efficient confirm stealing electric user, the effectual problem of stealing the electricity-stealing function of batch meter not enough at present of having solved simultaneously.
Drawings
FIG. 1 is a schematic diagram of a process for identifying the type of field electricity stealing based on time-frequency characteristics of dynamic grid parameters;
FIG. 2 is a schematic view of a non-destructive detection process for preventing electricity stealing based on the comprehensive comparison of the dynamic real-time change of impedance and the electric quantity;
FIG. 3 is a functional schematic diagram of an on-site batch tank.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: an electricity larceny prevention remote intelligent monitoring method comprises the following steps:
s1, preliminary determination
When electricity stealing happens, line impedance obtained by reverse calculation of actual measurement values (voltage, active power and reactive power) changes and deviates from the real operation parameters of the line, user electricity utilization information characteristic extraction and analysis are carried out through windowed interpolation short-time Fourier transform (IpSFT), three aspects including frequency domain characteristic, time domain characteristic and line resistance are extracted and analyzed, line impedance which does not change along with the operation of a power grid is selected as a reference, a user field electricity stealing behavior characteristic database is formed, a correlation matrix is established by applying matrix theoretical knowledge on the basis of the user field electricity stealing behavior characteristic database, the correlation matrix is abstracted by a graph theory method, the solution of the correlation matrix is obtained, a user field electricity stealing behavior identification model is established by integrating the characteristic database and the correlation matrix, the electricity stealing subscribers are preliminarily determined.
S2, obtaining evidence of on-line electricity stealing
The comprehensive comparison of impedance dynamic change characteristics and electric quantity data is used as a support, a high-accuracy impedance dynamic real-time change characteristic model is established by adding a high-accuracy time tag in the impedance dynamic change process, a metering information and impedance dynamic real-time change fusion model based on time matching is established, the metering information comprises port electric energy metering value, loop line loss, line position and other information, the metering information is comprehensively calculated, an anti-electricity-stealing non-destructive detection method based on the comprehensive comparison of impedance dynamic real-time change and the metering information is established, and online monitoring evidence obtaining of electricity stealing behaviors is achieved.
S3, video and audio evidence obtaining and electricity stealing user determination
After the electricity stealing users and online evidence collection are preliminarily determined through the steps of S1 and S2, door control management is carried out on the preliminarily determined user metering cabinets through the camera equipment, the camera equipment works and carries out real-time accurate evidence collection through online detection, processing and display coordination, the online detection comprises wrong wiring identification, error verification, transformer precision mechanical transformation ratio detection and online monitoring, the online monitoring is that the detection quantity condition of a site is monitored in real time through the wrong wiring identification, the error verification and the transformer precision and transformation ratio detection and is transmitted to the electricity stealing prevention inspection main station system in real time, the online processing comprises data analysis, a safety module and data storage, the data analysis is mainly carried out through comprehensive analysis and research and judgment on the electricity utilization condition of the electric quantity, the voltage, the current, the event record and the like stored in the data storage by the electric energy meter, and the video obtained by the camera equipment, The audio frequency electricity stealing evidence obtaining is stored in a digital memory, the on-line display comprises a display function, an uplink communication and a downlink communication, the display function is to display the detection states of various functions, the values or the wave forms of voltage and current, the electricity stealing result and the like, the communication unit comprises the uplink communication and the downlink communication, the uplink communication is connected with the electricity anti-stealing inspection master station system through a 4G or other communication mode, the downlink communication is that the detector is communicated with the electric energy meter, the communication mode is infrared, an RS485 communication interface is reserved, when the equipment such as the metering box generates abnormal alarm or event record, the camera equipment is started, carry out image acquisition to the situation around batch meter (cabinet) to reach monitor platform through the image data that communication unit uploaded the incident condition of production and gather, realize stealing the whole of electric action to make a video recording of scene and collect evidence, then carry out accurate the affirmation to stealing the electricity user with the legal evidence that obtains anti-electricity-stealing.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An electricity larceny prevention remote intelligent monitoring method is characterized by comprising the following steps:
s1, preliminary determination
When electricity stealing happens, the line impedance obtained by reverse calculation of actual measurement values (voltage, active power and reactive power) changes and deviates from the real operation parameters of the line, the extraction and analysis of the electricity utilization information characteristics of a user are carried out by windowing interpolation short-time Fourier transform (IPSTFT), the line impedance which does not change along with the operation of a power grid is selected as a reference quantity to form a user field electricity stealing behavior characteristic database, matrix theory knowledge is applied on the basis of the user field electricity stealing behavior characteristic database to establish an association matrix, the association matrix is abstracted by a graph theory method to solve the association matrix, a user field electricity stealing behavior identification model is established by integrating the characteristic database and the association matrix, and a primary electricity stealing user is determined.
S2, obtaining evidence of on-line electricity stealing
The method is based on comprehensive comparison of impedance dynamic change characteristics and electric quantity data, a high-accuracy impedance dynamic real-time change characteristic model is established by adding a high-accuracy time tag in the impedance dynamic change process, a metering information and impedance dynamic real-time change fusion model based on time matching is established, an anti-electricity-stealing non-destructive detection method based on comprehensive comparison of impedance dynamic real-time change and metering information is established, and online monitoring and evidence obtaining of electricity-stealing behaviors are achieved.
S3, video and audio evidence obtaining and electricity stealing user determination
After the electricity stealing users are preliminarily determined and the electricity stealing users are subjected to online evidence obtaining through the steps of S1 and S2, door control management is carried out on the preliminarily determined user metering cabinets through the camera equipment, when abnormal alarms or event records are generated by the metering cabinets and other equipment, the camera equipment is started, image acquisition is carried out on the surrounding conditions of the metering cabinets, the generated event conditions and the acquired image data are uploaded to the monitoring platform through the communication unit, the whole-process image obtaining and evidence obtaining of the field electricity stealing behaviors are achieved, and then accurate determination is carried out on the electricity stealing users through the obtained electricity stealing prevention legal evidence.
2. The method according to claim 1, wherein in step S1, the extraction and analysis of the user electricity consumption information features are performed through windowed interpolation short-time fourier transform (IpSTFT), which includes three aspects of frequency domain features, time domain features and line resistance.
3. The remote intelligent monitoring method for avoiding electric larceny as claimed in claim 1, wherein the metering information in step S2 includes information such as port electric energy metering value, loop line loss, and line location, and the metering information is calculated comprehensively.
4. The remote intelligent monitoring method for preventing electricity theft according to claim 1, wherein in step S3, the camera device integrates camera shooting, photography and sound recording, so as to satisfy the characteristics of high definition, portability and concealment, and has the performance characteristic of high-speed transmission.
5. The remote intelligent monitoring method for preventing electricity theft according to claim 1, wherein the camera device of step S3 is working and performs real-time accurate evidence collection through on-line detection, processing and display coordination, the on-line detection includes wrong wiring identification, error detection, transformer precision machine transformation ratio detection and on-line monitoring, the on-line processing includes data analysis, security module and data storage, and the on-line display includes display function, uplink communication and downlink communication.
6. The remote intelligent monitoring method for preventing electricity theft according to claim 5, wherein the online monitoring is to monitor the field detection amount in real time through wrong wiring identification, error detection and mutual inductor precision and transformation ratio detection, and transmit the detection amount to the anti-electricity-theft inspection master station system in real time.
7. The remote intelligent monitoring method for preventing electricity theft according to claim 5, wherein the data analysis mainly comprises comprehensive analysis and judgment of electricity consumption of electricity, voltage, current, event record and the like stored in the data storage of the electric energy meter, and video and audio evidence of electricity theft obtained by the camera equipment are stored in the data storage.
8. The remote intelligent monitoring method for preventing electricity theft according to claim 5, wherein the display function is to display the detection states of various functions, the voltage and current values or waveforms, the electricity theft result, etc., the communication unit comprises an uplink communication and a downlink communication, the uplink communication is connected with the electricity theft prevention inspection master station system through 4G or other communication modes, the downlink communication is the communication between the detector and the electric energy meter, the communication mode is infrared, and an RS485 communication interface is reserved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010838076.7A CN112003372B (en) | 2020-08-19 | 2020-08-19 | Remote intelligent monitoring method for preventing electricity theft |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010838076.7A CN112003372B (en) | 2020-08-19 | 2020-08-19 | Remote intelligent monitoring method for preventing electricity theft |
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| CN114758462A (en) * | 2022-03-15 | 2022-07-15 | 国网上海市电力公司 | Intelligent low-voltage electricity stealing behavior identification control system |
| CN114881808A (en) * | 2022-04-01 | 2022-08-09 | 云南电网有限责任公司昭通供电局 | Electric power electricity stealing accurate identification method based on big data and electricity stealing prevention system |
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