CN105842532A - Method for using image identification-based automatic electric meter - Google Patents
Method for using image identification-based automatic electric meter Download PDFInfo
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- CN105842532A CN105842532A CN201610180489.4A CN201610180489A CN105842532A CN 105842532 A CN105842532 A CN 105842532A CN 201610180489 A CN201610180489 A CN 201610180489A CN 105842532 A CN105842532 A CN 105842532A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/10—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods using digital techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/068—Arrangements for indicating or signaling faults
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- Computer Vision & Pattern Recognition (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention relates to a method for using an image identification-based automatic electric meter including an EEPROM memory chip, a CMOS visual sensor, an image detection device and a Sunplus SPCE061A chip, wherein the EEPROM memory chip, the CMOS visual sensor and the image detection device work jointly to provide outer frame characteristics of the electric meter, the Sunplus SPCE061A chip is respectively connected with the EEPROM memory chip, the CMOS visual sensor and the image detection device to determine whether the outer frame of the electric meter is damaged. Important referential data can be provided for replacing electric meters of an electric power equipment management center through image identification technology.
Description
Technical field
The present invention relates to field of image recognition, particularly relate to a kind of automatization based on image recognition electric degree
The using method of table.
Background technology
Kilowatt-hour meter is divided by purposes, can be divided into: active watt-hour meter, wattless component watt-hour meter, maximum demand
Table, reference kilowatthourmeter, multi tariff time-sharing electric meter, pre payment watthour meter (point coin-feed, magnetic card type,
Electric card type), loss meter, multi-function watt-hour meter and intelligent kilowatt-hour meter.
Kilowatt-hour meter is divided by operation principle, can be divided into: vicarious (mechanical type), state type (electricity
Minor), electromechanical (hybrid).
Kilowatt-hour meter divides by accessing phase line, can be divided into single-phase, phase three-wire three, three-phase and four-line kilowatt-hour meter.
Currently, special kilowatt-hour meter housing breakage care testing device, and existing kilowatt-hour meter are lacked
Structural redundancy too much, detection efficiency is low, simultaneously need to damaged for kilowatt-hour meter housing detection in real time set
For being integrated in kilowatt-hour meter structure, to save the most crowded common equipment space.
Accordingly, it would be desirable to a kind of automatization based on image recognition kilowatt-hour meter, the structure of kilowatt-hour meter is carried out
Improve, and the housing breakage of kilowatt-hour meter can be detected in real time, thus avoiding waste
In the case of common equipment space, expand the function of kilowatt-hour meter.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of automatization based on image recognition electric degree
Table, makes full use of kilowatt-hour meter space, the electric degree at staircase use each resident in prior art
Table carries out performance optimization, improves its detection accuracy to electricity, also introduces targetedly, high
The image detecting technique of precision is to determine between kilowatt-hour meter framed picture and default gray scale benchmark housing
Matching degree, and determine whether to export housing normal signal, housing appearance breakage letter based on matching degree
Number or housing badly broken signal, thus for electric administrative department change voting plan provide data basis.
According to an aspect of the present invention, it is provided that a kind of automatization based on image recognition kilowatt-hour meter, bag
Include EEPROM storage chip, CMOS vision sensor, image detecting apparatus and Ling Yang
SPCE061A chip, EEPROM storage chip, CMOS vision sensor and image detecting apparatus
Joint operation, for providing the housing feature of kilowatt-hour meter, Ling Yang SPCE061A chip respectively with
EEPROM storage chip, CMOS vision sensor and image detecting apparatus connect, and are used for determining electricity
The housing of degree table is the most damaged.
More specifically, in described automatization based on image recognition kilowatt-hour meter, including: CMOS regards
Sense sensor, is arranged on the top of kilowatt-hour meter, and the housing towards kilowatt-hour meter shoots, to obtain height
Clear framed picture；Complexity detection equipment, is connected with CMOS vision sensor, is used for receiving high definition
Framed picture image, and calculate based on high definition framed picture image and export image complexity；Gray scale turns
Change equipment, is connected with CMOS vision sensor, is used for receiving high definition framed picture image, for height
Each pixel in clear framed picture image, extracts its R, G, B tri-Color Channel component,
The weighted value different to R, G, B tri-Color Channel component impartings is average to be weighted, to obtain
Corresponding gray value, gray value composition gray level image, wherein R, G, B tri-of all pixels
The weighted value of Color Channel component is respectively 0.3,0.59 and 0.11；Current transformer and sample circuit,
Be connected with the A phase line in alternating current circuit, B phase line and C phase line, for A phase line,
Current signal in B phase line and C phase line is sampled respectively；Voltage sample circuit, and exchanges
A phase line, B phase line and C phase line in circuit connect, for A phase line, B phase line
Voltage signal in road and C phase line is sampled respectively；Current signal conditioning circuit, mutual with electric current
Sensor and sample circuit connect, for sampling current is carried out signal condition；Voltage signal conditioning circuit,
It is connected with voltage sample circuit, for sampling voltage is carried out signal condition；AD73360 chip, point
Be not connected with current signal conditioning circuit and voltage signal conditioning circuit, to the sampling current after conditioning and
Sampling voltage after conditioning performs 16 A/D conversions respectively, it is thus achieved that digital current signal and numeral electricity
Pressure signal, carries out data communication also by serial peripheral equipment interface SPI and controller；EEPROM stores
Chip, carries out bidirectional data exchange by serial peripheral equipment interface SPI and controller；System power supply power supply
Module, is connected with the A phase line in alternating current circuit, B phase line and C phase line, is used for performing friendship
Stream electricity, to galvanic conversion, provides direct current power supply for each electronic device；GPRS communication connects
Mouthful, it is connected with controller, for receiving active power and the reactive power of also output AC circuit；Aobvious
Show interface, be connected with controller, for receiving and show active power and the reactive power of alternating current circuit；
Electric line carrier communication equipment, is connected with controller, receives circuit and carrier wave transtation mission circuit including carrier wave,
Carrier wave receive circuit formed by coupling circuit, band filter and AFE (analog front end), carrier wave transtation mission circuit by
Signal coupling circuit, tuned power amplifier and modulated spread spectrum signal input interface composition；Image filtering
Equipment, is connected with complexity detection equipment and gray scale converting apparatus, respectively for based on image complexity
Determine the filtering strategies of selection, when image complexity is below default complexity range lower limit, select
Gray level image is filtered by gaussian filtering strategy, when image complexity is in default complexity scope
When limiting above, mean filter strategy is selected gray level image to be filtered, when image complexity is in advance
If time within complexity scope, select medium filtering strategy that gray level image is filtered；The overall situation two
Value equipment, is connected with complexity detection equipment and image filtering equipment respectively, for multiple based on image
Miscellaneous degree determines the determination strategy of overall situation binary-state threshold, after determining overall situation binary-state threshold, uses
Gray level image is carried out binary conversion treatment by overall situation binary-state threshold so that the binary image after process
Pixel value only have 0 or 255 these two kinds selections, wherein determine overall situation binaryzation based on image complexity
The determination strategy of threshold value specifically includes: when image complexity is below default complexity range lower limit,
Use Two-peak method determine the overall situation binary-state threshold, when image complexity default complexity range limit with
Time upper, maximum variance between clusters was used to determine overall situation binary-state threshold, when image complexity is being preset again
Time within miscellaneous degree scope, mean value method is used to determine overall situation binary-state threshold；Image correcting device, with
Overall situation binarizing apparatus connects to receive binary image, for rotating binary image successively
Correction process, redundancy cutting process and image normalization process, to obtain correction chart picture；Contour detecting
Equipment, is connected with image correcting device and gray scale converting apparatus respectively, outside based on default kilowatt-hour meter
The position of kilowatt-hour meter housing in frame contour detecting correction chart picture, and based on kilowatt-hour meter housing in correction chart picture
Position be partitioned at gray level image correspondence kilowatt-hour meter framed picture；Ling Yang SPCE061A core
Sheet, is connected with contour detecting equipment and EEPROM storage chip, is used for determining the outer block diagram of kilowatt-hour meter
Matching degree between picture and default gray scale benchmark housing, and determine whether outside output based on matching degree
There is breakage signal or housing badly broken signal in frame normal signal, housing；Ling Yang SPCE061A core
Sheet the most respectively with AD73360 chip, EEPROM storage chip, GPRS communication interface and display
Interface connects, for receiving the digital current that AD73360 chip is exported by serial peripheral equipment interface SPI
Based on digital current signal and digital voltage signal, signal and digital voltage signal, determine that digital current is believed
Number virtual value, the virtual value of digital voltage signal and the active power of alternating current circuit and idle merit
Rate；Wherein, EEPROM storage chip is additionally operable to store default gray scale benchmark housing；Wherein, electric power
Line carrier communication equipment is connected with Ling Yang SPCE061A chip, for by housing normal signal, housing
Occur that breakage signal or housing badly broken signal are sent to the electric power equipment management center of far-end, in order to
Electric power equipment management center is had to determine the need for changing kilowatt-hour meter.
More specifically, in described automatization based on image recognition kilowatt-hour meter: GPRS communication interface
It is arranged on the housing of kilowatt-hour meter.
More specifically, in described automatization based on image recognition kilowatt-hour meter: electric line carrier communication
Equipment is arranged on the trailing flank of kilowatt-hour meter.
More specifically, in described automatization based on image recognition kilowatt-hour meter: EEPROM stores core
The capacity of sheet is 1M byte.
More specifically, in described automatization based on image recognition kilowatt-hour meter: Ling Yang SPCE061A
With AD73360 chip, EEPROM storage chip and display Interface integration at one piece of surface-mounted integrated circuit
On.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the knot according to automatization based on the image recognition kilowatt-hour meter shown in embodiment of the present invention
Structure block diagram.
Reference: 1EEPROM storage chip；2CMOS vision sensor；3 image detections
Equipment；4 Ling Yang SPCE061A chips
Detailed description of the invention
Embodiment party to automatization based on the image recognition kilowatt-hour meter of the present invention below with reference to accompanying drawings
Case is described in detail.
Kilowatt-hour meter in use, due to ambient pressure or uses for a long time, and its housing exists broken
The possibility damaged, once housing is damaged, then kilowatt-hour meter internal component easily comes out, to kilowatt-hour meter
The properly functioning of itself works the mischief, such as, cause internal component to damage, and certainty of measurement declines, with
Time, also easily resident gets an electric shock, and adds the insecurity that kilowatt-hour meter uses.
Accordingly, it would be desirable to during the use of kilowatt-hour meter, periodically kilowatt-hour meter is carried out equipment inspection, especially
It is the inspection of housing, in the case of finding to there is housing breakage, changes housing in time, even more
Change kilowatt-hour meter, thus avoid kilowatt-hour meter destroyed and avoid resident to get an electric shock.
But, in prior art, the equipment inspection to civil watt-hour meter is usually by electric power equipment management
Center regularly schedules staff and makes an inspection tour, and excessively relies on artificial experience, and equipment inspection is not real-time
Property, easily there is making an inspection tour interval time long and find the feelings that kilowatt-hour meter housing is damaged the most in time
Condition, it addition, the electronic equipment of the housing inspection custom-made independence if kilowatt-hour meter, for each electricity
Degree table disposes one, then occupy too much equipment public space.Meanwhile, the detection of existing kilowatt-hour meter
Precision is the highest, needs to optimize testing mechanism, improves its detection efficiency to alternating current circuit parameters.
In order to overcome above-mentioned deficiency, the present invention has built a kind of automatization based on image recognition electric degree
Table, it is possible to be optimized the measurement mechanism of the electrical energy parameter of kilowatt-hour meter, improves its accuracy of detection, with
Time the housing breakage of kilowatt-hour meter can be detected in real time, find housing breakage time enter in time
Row is reported to the police, to avoid occurring with electrification.
Fig. 1 is the knot according to automatization based on the image recognition kilowatt-hour meter shown in embodiment of the present invention
Structure block diagram, including EEPROM storage chip, CMOS vision sensor, image detecting apparatus
With Ling Yang SPCE061A chip, EEPROM storage chip, CMOS vision sensor and image
Detection equipment joint operation, for providing the housing feature of kilowatt-hour meter, Ling Yang SPCE061A chip divides
It is not connected with EEPROM storage chip, CMOS vision sensor and image detecting apparatus, is used for
Determine that the housing of kilowatt-hour meter is the most damaged.
Then, continue the concrete structure of automatization based on the image recognition kilowatt-hour meter of the present invention is carried out
Further instruction.
Described kilowatt-hour meter includes: CMOS vision sensor, is arranged on the top of kilowatt-hour meter, towards electricity
The housing of degree table shoots, to obtain high definition framed picture；Complexity detection equipment, with CMOS
Vision sensor connects, and is used for receiving high definition framed picture image, and based on high definition framed picture image
Calculate and export image complexity；Gray scale converting apparatus, is connected with CMOS vision sensor, is used for
Receive high definition framed picture image, for each pixel in high definition framed picture image, extract
Its R, G, B tri-Color Channel component, to R, G, B tri-Color Channel component give different power
Weight values is average to be weighted, to obtain corresponding gray value, and the gray value composition ash of all pixels
Degreeization image, wherein R, G, B tri-the weighted value of Color Channel component be respectively 0.3,0.59 and 0.11.
Described kilowatt-hour meter includes: A phase line in current transformer and sample circuit, with alternating current circuit,
B phase line and C phase line connect, for the electricity in A phase line, B phase line and C phase line
Stream signal is sampled respectively；A phase line in voltage sample circuit, with alternating current circuit, B phase line
Road and C phase line connect, for the voltage signal in A phase line, B phase line and C phase line
It is sampled respectively；Current signal conditioning circuit, is connected with current transformer and sample circuit, is used for
Sampling current is carried out signal condition.
Described kilowatt-hour meter includes: voltage signal conditioning circuit, is connected with voltage sample circuit, for right
Sampling voltage carries out signal condition；AD73360 chip, respectively with current signal conditioning circuit and voltage
Signal conditioning circuit connects, and the sampling voltage after the sampling current after conditioning and conditioning is performed 16 respectively
Position A/D conversion, it is thus achieved that digital current signal and digital voltage signal, also by Serial Peripheral Interface (SPI)
SPI and controller carry out data communication.
Described kilowatt-hour meter includes: EEPROM storage chip, by serial peripheral equipment interface SPI and control
Device carries out bidirectional data exchange；System power supply power module, with the A phase line in alternating current circuit, B
Phase line and C phase line connect, and are used for performing alternating current to galvanic conversion, for each electronics device
Part provides direct current power supply；GPRS communication interface, is connected with controller, is used for receiving and exporting
The active power of alternating current circuit and reactive power.
Described kilowatt-hour meter includes: display interface, is connected with controller, is used for receiving and showing AC line
The active power on road and reactive power；Electric line carrier communication equipment, is connected with controller, including carrying
Ripple receives circuit and carrier wave transtation mission circuit, and carrier wave receives circuit by coupling circuit, band filter and mould
Intending front end composition, carrier wave transtation mission circuit is by signal coupling circuit, tuned power amplifier and band spectrum modulation
Signal input interface forms.
Described kilowatt-hour meter includes: image filtering equipment, converts with complexity detection equipment and gray scale respectively
Equipment connects, for determining the filtering strategies of selection based on image complexity, when image complexity is in advance
If time below complexity range lower limit, select gaussian filtering strategy that gray level image is filtered, when
When image complexity is more than default complexity range limit, select mean filter strategy to gray processing figure
As being filtered, when image complexity is within default complexity scope, select medium filtering strategy
Gray level image is filtered.
Described kilowatt-hour meter includes: overall situation binarizing apparatus, respectively with complexity detection equipment and image filter
Wave device connects, for determining the determination strategy of overall situation binary-state threshold based on image complexity, really
After fixed overall situation binary-state threshold, overall situation binary-state threshold is used to be carried out at binaryzation by gray level image
Reason so that the pixel value of the binary image after process only has 0 or 255 these two kinds selections, Qi Zhongji
Determine that in image complexity the determination strategy of overall situation binary-state threshold specifically includes: when image complexity exists
When presetting below complexity range lower limit, Two-peak method is used to determine overall situation binary-state threshold, when image is multiple
When miscellaneous degree is more than default complexity range limit, maximum variance between clusters is used to determine overall situation binaryzation
Threshold value, when image complexity is within default complexity scope, uses mean value method to determine the overall situation two
Value threshold value.
Described kilowatt-hour meter includes: image correcting device, is connected to receive two-value with overall situation binarizing apparatus
Change image, for binary image being carried out successively rotation correction process, redundancy cutting process and image
Normalized, to obtain correction chart picture；Contour detecting equipment, respectively with image correcting device and ash
Degree converting apparatus connects, outside based on kilowatt-hour meter in default kilowatt-hour meter housing contour detecting correction chart picture
The position of frame, and be partitioned at gray level image based on the position of kilowatt-hour meter housing in correction chart picture right
The kilowatt-hour meter framed picture answered.
Described kilowatt-hour meter includes: Ling Yang SPCE061A chip, with contour detecting equipment and EEPROM
Storage chip connects, for determining the coupling between kilowatt-hour meter framed picture and default gray scale benchmark housing
Degree, and based on matching degree determine whether to export housing normal signal, housing occur breakage signal or
Housing badly broken signal；Ling Yang SPCE061A chip the most respectively with AD73360 chip,
EEPROM storage chip, GPRS communication interface and display interface connect, and are used for receiving AD73360
Digital current signal that chip is exported by serial peripheral equipment interface SPI and digital voltage signal, based on number
Word current signal and digital voltage signal determine the virtual value of digital current signal, digital voltage signal
Virtual value and the active power of alternating current circuit and reactive power.
Wherein, EEPROM storage chip is additionally operable to store default gray scale benchmark housing；Wherein, electric power
Line carrier communication equipment is connected with Ling Yang SPCE061A chip, for by housing normal signal, housing
Occur that breakage signal or housing badly broken signal are sent to the electric power equipment management center of far-end, in order to
Electric power equipment management center is had to determine the need for changing kilowatt-hour meter.
Alternatively, in described kilowatt-hour meter: GPRS communication interface is arranged on the housing of kilowatt-hour meter；
Electric line carrier communication equipment is arranged on the trailing flank of kilowatt-hour meter；The capacity of EEPROM storage chip
For 1M byte；And Ling Yang SPCE061A and AD73360 chip, EEPROM can be deposited
Storage chip and display Interface integration are on one piece of surface-mounted integrated circuit.
It addition, CMOS (Complementary Metal-Oxide-Semiconductor), middle literature
Entitled complementary metal oxide semiconductors (CMOS), he is originally a kind of important chip in computer system, preserves
The data that System guides is most basic.It is poor that the manufacturing technology of CMOS and general computer chip do not have
Not, the quasiconductor made mainly by silicon and germanium both elements so that it is coexist on CMOS
Band N (band-electricity) and the quasiconductor of P (band+electricity) level, electricity produced by the two complementary effect
Stream can be processed chip record and be interpreted to image.Found that CMOS can also make through processing later
For the imageing sensor in digital photography.
For independent of the portable use of electrical network, the CMOS skill famous with low power consumption characteristic
Art has an obvious advantage: cmos image sensor is for 5V and 3.3V supply voltage
Design.CCD chip then needs the supply voltage of about 12V, therefore has to use one
Electric pressure converter, thus cause power consumption to increase.In terms of total power consumption, integrated with systemic-function controlling
Another benefit will be brought: it is all that he eliminates with other semiconductor elements in cmos sensor
External connection line.The driver of its high power consumption is abandoned the most, this is because carry out at chip internal
The energy that communication is consumed is more much lower than by the outside implementation of PCB or substrate.
Cmos sensor also can be subdivided into passive type element sensor (Passive Pixel Sensor
CMOS) with active pixel sensor (Active Pixel Sensor CMOS).
Passive type element sensor (Passive Pixel Sensor is called for short PPS), is again passive type picture
Element sensor, he is made up of a back-biased light sensitive diode and a switching tube.Photosensitive two poles
Pipe is substantially a PN junction being made up of P-type semiconductor and N-type semiconductor, and he can be equivalent to one
Individual back-biased diode and a mos capacitance parallel connection.When switching tube is opened, photosensitive two poles
Pipe connects with vertical alignment (Column bus).The charge integration amplifier being positioned at alignment end is read
Going out circuit (Charge integrating amplifier) keeps column line voltage to be a constant, when photosensitive two poles
The signal charge of pipe storage is when being read, and its voltage is reset to column line voltage level, meanwhile,
The electric charge being directly proportional to optical signal is converted to electric charge output by charge integration amplifier.
Active pixel sensor (Active Pixel Sensor is called for short APS), is again active picture
Element sensor.Almost while CMOS PPS dot structure is invented, it is rapidly be recognized that at picture
In element, introducing buffer or amplifier can improve the performance of pixel, each pixel in CMOS APS
Inside there is the amplifier of oneself.The transistor that amplifies being integrated in surface decreases effective table of pixel element
Area, reduces " packaging density ", makes the incident illumination of 40%～50% be reflected.This sensor
Another problem be how to make to have between the multichannel amplifier of sensor preferably coupling, this can
Preferably realize with the fixed pattern noise by reducing residual level.Due in CMOS APS pixel
Each amplifier only at this read during be excited, so CMOS APS power dissipation ratio CCD figure
The least as sensor.
Use automatization based on the image recognition kilowatt-hour meter of the present invention, cannot carry for prior art
Realize the technical problem that kilowatt-hour meter housing is detected in real time while high kilowatt-hour meter performance, device will be identified
It is mounted on kilowatt-hour meter to avoid wasting common equipment space, by improving kilowatt-hour meter structure with the most really
Determine each phase and the conjunction active power of phase, reactive power and apparent energy in three-phase power circuit, pass through
Housing detection equipment is for detecting the housing feature of kilowatt-hour meter, and housing feature based on described kilowatt-hour meter
Determine the housing damaged degree of described kilowatt-hour meter such that it is able to the kilowatt-hour meter for electric administrative department is replaced
Important evidence is provided.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement
Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from
Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention
Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore,
Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection
In the range of.
Claims (6)
1. a using method for automatization based on image recognition kilowatt-hour meter, the method includes:
1) a kind of automatization based on image recognition kilowatt-hour meter is provided, including EEPROM storage chip,
CMOS vision sensor, image detecting apparatus and Ling Yang SPCE061A chip, EEPROM deposits
Storage chip, CMOS vision sensor and image detecting apparatus joint operation, for providing kilowatt-hour meter
Housing feature, Ling Yang SPCE061A chip respectively with EEPROM storage chip, CMOS vision
Sensor and image detecting apparatus connect, for determining that the housing of kilowatt-hour meter is the most damaged；
2) this kilowatt-hour meter is used.
2. the method for claim 1, it is characterised in that described kilowatt-hour meter includes:
CMOS vision sensor, is arranged on the top of kilowatt-hour meter, and the housing towards kilowatt-hour meter is clapped
Take the photograph, to obtain high definition framed picture；
Complexity detection equipment, is connected with CMOS vision sensor, is used for receiving high definition framed picture
Image, and calculate based on high definition framed picture image and export image complexity；
Gray scale converting apparatus, is connected with CMOS vision sensor, is used for receiving high definition framed picture figure
Picture, for each pixel in high definition framed picture image, extracts its R, G, B tri-color
Channel components, to R, G, B tri-Color Channel component give different weighted value to be weighted putting down
All, to obtain corresponding gray value, the gray value composition gray level image of all pixels, wherein R,
G, B tri-the weighted value of Color Channel component be respectively 0.3,0.59 and 0.11；
A phase line, B phase line and C phase in current transformer and sample circuit, with alternating current circuit
Connection, for carrying out respectively the current signal in A phase line, B phase line and C phase line
Sampling；
Voltage sample circuit, is connected with the A phase line in alternating current circuit, B phase line and C phase line,
For the voltage signal in A phase line, B phase line and C phase line is sampled respectively；
Current signal conditioning circuit, is connected with current transformer and sample circuit, for sampling current
Carry out signal condition；
Voltage signal conditioning circuit, is connected with voltage sample circuit, for sampling voltage is carried out signal
Conditioning；
AD73360 chip, is connected with current signal conditioning circuit and voltage signal conditioning circuit respectively,
Sampling voltage after sampling current after conditioning and conditioning is performed respectively 16 A/D conversions, it is thus achieved that
Digital current signal and digital voltage signal, also by serial peripheral equipment interface SPI and controller number
According to communication；
EEPROM storage chip, carries out bi-directional data friendship by serial peripheral equipment interface SPI and controller
Change；
System power supply power module, with the A phase line in alternating current circuit, B phase line and C phase line
Connect, be used for performing alternating current to galvanic conversion, provide direct current power confession for each electronic device
Should；
GPRS communication interface, is connected with controller, for receiving and the wattful power of output AC circuit
Rate and reactive power；
Display interface, is connected with controller, for receiving and show active power and the nothing of alternating current circuit
Merit power；
Electric line carrier communication equipment, is connected with controller, receives circuit including carrier wave and carrier wave sends
Circuit, carrier wave receives circuit and is formed by coupling circuit, band filter and AFE (analog front end), and carrier wave sends
Circuit is made up of signal coupling circuit, tuned power amplifier and modulated spread spectrum signal input interface；
Image filtering equipment, is connected, for base with complexity detection equipment and gray scale converting apparatus respectively
The filtering strategies of selection is determined, when image complexity is at default complexity range lower limit in image complexity
Time following, select gaussian filtering strategy that gray level image is filtered, when image complexity is being preset
Time more than complexity range limit, select mean filter strategy that gray level image is filtered, work as figure
During as complexity within default complexity scope, select medium filtering strategy that gray level image is carried out
Filtering；
Overall situation binarizing apparatus, is connected with complexity detection equipment and image filtering equipment respectively, is used for
Determine the determination strategy of overall situation binary-state threshold based on image complexity, determine overall situation binary-state threshold
Afterwards, use overall situation binary-state threshold that gray level image is carried out binary conversion treatment so that after process
The pixel value of binary image only has 0 or 255 these two kinds selections, wherein determines based on image complexity
The determination strategy of overall situation binary-state threshold specifically includes: when image complexity is under default complexity scope
When limit is following, Two-peak method is used to determine overall situation binary-state threshold, when image complexity is in default complexity
Time more than range limit, maximum variance between clusters is used to determine overall situation binary-state threshold, when image is complicated
When degree is within default complexity scope, mean value method is used to determine overall situation binary-state threshold；
Image correcting device, is connected to receive binary image with overall situation binarizing apparatus, for two
Value image carries out rotation correction process, redundancy cutting process and image normalization successively and processes, to obtain
Obtain correction chart picture；
Contour detecting equipment, is connected with image correcting device and gray scale converting apparatus respectively, for based on
Preset the position of kilowatt-hour meter housing in kilowatt-hour meter housing contour detecting correction chart picture, and based on correction chart picture
The position of middle kilowatt-hour meter housing is partitioned into the kilowatt-hour meter framed picture of correspondence at gray level image；
Ling Yang SPCE061A chip, is connected with contour detecting equipment and EEPROM storage chip,
For determining the matching degree between kilowatt-hour meter framed picture and default gray scale benchmark housing, and based on
Join degree and determine whether that breakage signal or housing badly broken letter occur in output housing normal signal, housing
Number；Ling Yang SPCE061A chip the most respectively with AD73360 chip, EEPROM storage chip,
GPRS communication interface and display interface connect, and are used for receiving AD73360 chip and are connect by serial peripheral
The digital current signal of mouth SPI output and digital voltage signal, based on digital current signal and numeral electricity
Pressure signal determines the virtual value of digital current signal, the virtual value of digital voltage signal and alternating current circuit
Active power and reactive power；
Wherein, EEPROM storage chip is additionally operable to store default gray scale benchmark housing；
Wherein, electric line carrier communication equipment is connected with Ling Yang SPCE061A chip, for by housing
Normal signal, housing occur that breakage signal or housing badly broken signal are sent to the power equipment of far-end
Administrative center, in order to have electric power equipment management center to determine the need for changing kilowatt-hour meter.
3. method as claimed in claim 2, it is characterised in that:
GPRS communication interface is arranged on the housing of kilowatt-hour meter.
4. method as claimed in claim 2, it is characterised in that:
Electric line carrier communication equipment is arranged on the trailing flank of kilowatt-hour meter.
5. method as claimed in claim 2, it is characterised in that:
The capacity of EEPROM storage chip is 1M byte.
6. method as claimed in claim 2, it is characterised in that:
Ling Yang SPCE061A and AD73360 chip, EEPROM storage chip and display sets of interfaces
On Cheng Yi block surface-mounted integrated circuit.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610421339.8A CN107228977A (en) | 2016-03-25 | 2016-03-25 | A kind of automation kilowatt-hour meter based on image recognition |
| CN201610180489.4A CN105842532A (en) | 2016-03-25 | 2016-03-25 | Method for using image identification-based automatic electric meter |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610180489.4A CN105842532A (en) | 2016-03-25 | 2016-03-25 | Method for using image identification-based automatic electric meter |
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| CN201610421339.8A Division CN107228977A (en) | 2016-03-25 | 2016-03-25 | A kind of automation kilowatt-hour meter based on image recognition |
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| CN201610421339.8A Withdrawn CN107228977A (en) | 2016-03-25 | 2016-03-25 | A kind of automation kilowatt-hour meter based on image recognition |
| CN201610180489.4A Pending CN105842532A (en) | 2016-03-25 | 2016-03-25 | Method for using image identification-based automatic electric meter |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201060513Y (en) * | 2007-05-12 | 2008-05-14 | 五洲明珠股份有限公司潍坊浩特电气分公司 | Three-phase smart card type prepaid multifunctional electric energy meter |
| CN101320053A (en) * | 2008-07-17 | 2008-12-10 | 菏泽供电公司 | Wireless data and image double-acquisition anti-electricity theft monitoring system and method thereof |
| CN101739546A (en) * | 2008-11-05 | 2010-06-16 | 沈阳工业大学 | Image cross reconstruction-based single-sample registered image face recognition method |
| CN101853397A (en) * | 2010-04-21 | 2010-10-06 | 中国科学院半导体研究所 | Bionic human face detection method based on human visual characteristics |
| WO2011133578A1 (en) * | 2010-04-20 | 2011-10-27 | Equal Networks Incorporated | Apparatus, system, and method having a wi-fi compatible alternating current (ac) power circuit module |
| CN204008845U (en) * | 2014-08-06 | 2014-12-10 | 王峰 | A kind of single-phase electric energy meter metering circuit |
| CN105118064A (en) * | 2015-04-01 | 2015-12-02 | 无锡桑尼安科技有限公司 | Method for detecting damage degree of outdoor electric energy meter |
-
2016
- 2016-03-25 CN CN201610421339.8A patent/CN107228977A/en not_active Withdrawn
- 2016-03-25 CN CN201610180489.4A patent/CN105842532A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201060513Y (en) * | 2007-05-12 | 2008-05-14 | 五洲明珠股份有限公司潍坊浩特电气分公司 | Three-phase smart card type prepaid multifunctional electric energy meter |
| CN101320053A (en) * | 2008-07-17 | 2008-12-10 | 菏泽供电公司 | Wireless data and image double-acquisition anti-electricity theft monitoring system and method thereof |
| CN101739546A (en) * | 2008-11-05 | 2010-06-16 | 沈阳工业大学 | Image cross reconstruction-based single-sample registered image face recognition method |
| WO2011133578A1 (en) * | 2010-04-20 | 2011-10-27 | Equal Networks Incorporated | Apparatus, system, and method having a wi-fi compatible alternating current (ac) power circuit module |
| CN101853397A (en) * | 2010-04-21 | 2010-10-06 | 中国科学院半导体研究所 | Bionic human face detection method based on human visual characteristics |
| CN204008845U (en) * | 2014-08-06 | 2014-12-10 | 王峰 | A kind of single-phase electric energy meter metering circuit |
| CN105118064A (en) * | 2015-04-01 | 2015-12-02 | 无锡桑尼安科技有限公司 | Method for detecting damage degree of outdoor electric energy meter |
Non-Patent Citations (2)
| Title |
|---|
| 王映辉: "《人脸识别——原理、方法与技术》", 28 February 2010 * |
| 陈晨: "防窃电表的设计与改进", 《电测与仪表》 * |
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| CN107228977A (en) | 2017-10-03 |
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