CN107228977A - A kind of automation kilowatt-hour meter based on image recognition - Google Patents
A kind of automation kilowatt-hour meter based on image recognition Download PDFInfo
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- CN107228977A CN107228977A CN201610421339.8A CN201610421339A CN107228977A CN 107228977 A CN107228977 A CN 107228977A CN 201610421339 A CN201610421339 A CN 201610421339A CN 107228977 A CN107228977 A CN 107228977A
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- hour meter
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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
-
- 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
-
- 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
-
- 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
-
- 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
Abstract
The present invention relates to a kind of automation kilowatt-hour meter based on image recognition, including EEPROM storage chips, CMOS vision sensors, image detecting apparatus and Ling Yang SPCE061A chips, EEPROM storage chips, CMOS vision sensors and image detecting apparatus joint operation, housing feature for providing kilowatt-hour meter, Ling Yang SPCE061A chips are connected with EEPROM storage chips, CMOS vision sensors and image detecting apparatus respectively, for determining whether the housing of kilowatt-hour meter is damaged.By means of the invention it is possible to provide important reference data by image recognition technology for the kilowatt-hour meter replacement operation at electric power equipment management center.
Description
The present invention be Application No. 2016101804894, the applying date be on March 25th, 2016, a kind of entitled " base
In image recognition automation kilowatt-hour meter application method " patent divisional application.
Technical field
The present invention relates to field of image recognition, more particularly to a kind of automation kilowatt-hour meter based on image recognition.
Background technology
Kilowatt-hour meter is divided by purposes, can be divided into：Active watt-hour meter, wattless component watt-hour meter, maximum demand meter, standard electric degree
Table, multi tariff time-sharing electric meter, pre payment watthour meter (point coin-feed, magnetic card type, electric card type), loss meter, multi-functional electricity
Spend table and intelligent kilowatt-hour meter.
Kilowatt-hour meter is divided by operation principle, can be divided into：Induction type (mechanical), state type (electronic type), electromechanical
Formula (hybrid).
Kilowatt-hour meter is divided by access phase line, can be divided into single-phase, phase three-wire three, three-phase and four-line kilowatt-hour meter.
Currently, lack the damaged care testing device of special kilowatt-hour meter housing, and existing kilowatt-hour meter structural redundancy
Excessively, detection efficiency is low, while needing the damaged care testing device of kilowatt-hour meter housing being integrated into kilowatt-hour meter structure, to save
Save originally crowded common equipment space.
Accordingly, it would be desirable to a kind of automation kilowatt-hour meter based on image recognition, the structure to kilowatt-hour meter is improved, Er Qieneng
Enough housing breakages to kilowatt-hour meter are detected in real time, so as in the case where avoiding wasting common equipment space, expand
The function of kilowatt-hour meter.
The content of the invention
In order to solve the above problems, the invention provides a kind of automation kilowatt-hour meter based on image recognition, make full use of
Electric degree table space, carries out performance optimization to the kilowatt-hour meter at each resident uses in the prior art staircase, improves it to electricity
The detection accuracy of amount, also introduce targetedly, high-precision image detecting technique with determine kilowatt-hour meter framed picture and
The matching degree between gray scale benchmark housing is preset, and output housing normal signal is determined whether based on matching degree, outlined outside
Existing breakage signal or housing badly broken signal, so as to provide data basis for the voting plan of changing of electric administrative department.
Deposited according to an aspect of the present invention there is provided a kind of automation kilowatt-hour meter based on image recognition, including EEPROM
Store up chip, CMOS vision sensors, image detecting apparatus and Ling Yang SPCE061A chips, EEPROM storage chips, CMOS visions
Sensor and image detecting apparatus joint operation, the housing feature for providing kilowatt-hour meter, Ling Yang SPCE061A chips respectively with
EEPROM storage chips, CMOS vision sensors and image detecting apparatus connection, for determining whether the housing of kilowatt-hour meter is damaged.
More specifically, in the automation kilowatt-hour meter based on image recognition, including：CMOS vision sensors, are set
In the top of kilowatt-hour meter, the housing towards kilowatt-hour meter is shot, to obtain high definition framed picture；Complexity detection device, with
CMOS vision sensors are connected, and are calculated and are exported for receiving high definition framed picture image, and based on high definition framed picture image
Image complexity；Gray scale conversion equipment, is connected with CMOS vision sensors, for receiving high definition framed picture image, for height
Each pixel in clear framed picture image, extracts its Color Channel component of R, G, B tri-, to the Color Channel point of R, G, B tri-
It is average to be weighted that amount assigns different weighted values, to obtain corresponding gray value, the gray value composition ash of all pixels point
Degreeization image, the weighted value of the wherein Color Channel component of R, G, B tri- is respectively 0.3,0.59 and 0.11；Current transformer and sampling
Circuit, is connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for A phase lines, B phase lines and C phase lines
Current signal in road is sampled respectively；A phase lines, B phase lines and C phase lines in voltage sample circuit, with alternating current circuit
Road is connected, for being sampled respectively to the voltage signal in A phase lines, B phase lines and C phase lines；Current signal conditioning electricity
Road, is connected with current transformer and sample circuit, for carrying out signal condition to sampling current；Voltage signal conditioning circuit, with
Voltage sample circuit is connected, for carrying out signal condition to sampling voltage；AD73360 chips, nurse one's health electricity with current signal respectively
Road and voltage signal conditioning circuit connection, 16 A/D are performed to the sampling current after conditioning and the sampling voltage after conditioning respectively
Conversion, obtains digital current signal and digital voltage signal, and also carrying out data by serial peripheral equipment interface SPI and controller leads to
Letter；EEPROM storage chips, bidirectional data exchange is carried out by serial peripheral equipment interface SPI and controller；System power supply power supply mould
Block, is connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for performing alternating current to the conversion of direct current, is
Each electronic device provides direct current power supply；GPRS communication interfaces, are connected with controller, for receiving and exporting alternating current circuit
Active power and reactive power；Display interface, is connected with controller, for receive and show alternating current circuit active power and
Reactive power；Electric line carrier communication equipment, is connected with controller, including carrier wave receiving circuit and carrier wave transtation mission circuit, carrier wave
Receiving circuit is made up of termination power, bandpass filter and AFE(analog front end), and carrier wave transtation mission circuit is by signal coupling circuit, resonance work(
Rate amplifier and modulated spread spectrum signal input interface composition；Image filtering equipment, turns with complexity detection device and gray scale respectively
Change equipment connection, the filtering strategies for determining selection based on image complexity, when image complexity is in default complexity scope
When below lower limit, selection gaussian filtering strategy is filtered to gray level image, when image complexity is in default complexity scope
When more than the upper limit, selection mean filter strategy is filtered to gray level image, when image complexity is in default complexity scope
Within when, selection medium filtering strategy gray level image is filtered；Global binarizing apparatus, sets with complexity detection respectively
The connection of standby and image filtering equipment, the determination strategy for determining global binary-state threshold based on image complexity, it is determined that complete
After office's binary-state threshold, gray level image is subjected to binary conversion treatment using global binary-state threshold so that two after processing
The pixel value of value image only has 0 or 255 this two kinds selections, wherein determining global binary-state threshold really based on image complexity
Determine strategy to specifically include：When image complexity is below default complexity range lower limit, global two-value is determined using Two-peak method
Change threshold value, when image complexity is more than default complexity range limit, global two-value is determined using maximum variance between clusters
Change threshold value, when image complexity is when within default complexity scope, global binary-state threshold is determined using mean value method；Image
Calibration equipment, is connected to receive binary image with global binarizing apparatus, for carrying out rotation school successively to binary image
Positive processing, redundancy cut processing and image normalization processing, to obtain correction chart picture；Contour detecting equipment, respectively with image calibration
Positive equipment and gray scale conversion equipment connection, for based on default kilowatt-hour meter housing contour detecting correction chart kilowatt-hour meter housing as in
Position, and the position based on kilowatt-hour meter housing in correction chart picture is partitioned into block diagram outside corresponding kilowatt-hour meter at gray level image
Picture；Ling Yang SPCE061A chips, are connected with contour detecting equipment and EEPROM storage chips, for determining kilowatt-hour meter framed picture
Matching degree between default gray scale benchmark housing, and output housing normal signal, housing are determined whether based on matching degree
There is breakage signal or housing badly broken signal；Ling Yang SPCE061A chips are also stored with AD73360 chips, EEPROM respectively
Chip, GPRS communication interfaces and display interface connection, are exported for receiving AD73360 chips by serial peripheral equipment interface SPI
Digital current signal and digital voltage signal, having for digital current signal is determined based on digital current signal and digital voltage signal
The active power and reactive power of valid value, the virtual value of digital voltage signal and alternating current circuit；Wherein, EEPROM storage chips
It is additionally operable to store default gray scale benchmark housing；Wherein, electric line carrier communication equipment is connected with Ling Yang SPCE061A chips, is used for
Are there is into breakage signal in housing normal signal, housing or housing badly broken signal is sent in the electric power equipment management of distal end
The heart, to there is electric power equipment management center to determine the need for changing kilowatt-hour meter.
More specifically, in the automation kilowatt-hour meter based on image recognition：GPRS communication interfaces are arranged on kilowatt-hour meter
Housing on.
More specifically, in the automation kilowatt-hour meter based on image recognition：Electric line carrier communication equipment is arranged on
On the trailing flank of kilowatt-hour meter.
More specifically, in the automation kilowatt-hour meter based on image recognition：The capacity of EEPROM storage chips is 1M
Byte.
More specifically, in the automation kilowatt-hour meter based on image recognition：Ling Yang SPCE061A and AD73360 cores
Piece, EEPROM storage chips and display interface are integrated on one piece of surface-mounted integrated circuit.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the block diagram for automating kilowatt-hour meter based on image recognition according to embodiment of the present invention.
Reference：1EEPROM storage chips；2CMOS vision sensors；3 image detecting apparatus；4 Ling Yang SPCE061A
Chip
Embodiment
The embodiment to the automation kilowatt-hour meter based on image recognition of the present invention is carried out in detail below with reference to accompanying drawings
Explanation.
Kilowatt-hour meter is used in use, due to ambient pressure or for a long time, and its housing has damaged possibility, one
Denier housing is damaged, then kilowatt-hour meter internal component is easily exposed, and the normal operation of kilowatt-hour meter in itself is caused harm, for example
Internal component is caused to damage, measurement accuracy declines, meanwhile, also easy resident gets an electric shock, and add that kilowatt-hour meter uses is dangerous
Property.
Accordingly, it would be desirable to which during the use of kilowatt-hour meter, the inspection of equipment inspection, especially housing is periodically carried out to kilowatt-hour meter
Look into, in the case where finding to have housing breakage, housing is changed in time, or even change kilowatt-hour meter, so as to avoid kilowatt-hour meter from being broken
Go bad and avoid resident from getting an electric shock.
However, in the prior art, the equipment inspection to civil watt-hour meter is usually periodically to be pacified by electric power equipment management center
Row's human hand is maked an inspection tour, and excessively relies on artificial experience, and equipment inspection is not real-time, easily occurs making an inspection tour interval time
The long situation without finding the breakage of kilowatt-hour meter housing in time, in addition, if checking that custom-made is only for the housing of kilowatt-hour meter
Vertical electronic equipment, is that each kilowatt-hour meter disposes one, then occupies excessive equipment public space.Meanwhile, existing kilowatt-hour meter
Accuracy of detection it is not high, it is necessary to which optimizing detection 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 automation kilowatt-hour meter based on image recognition, can be to electricity
The measurement mechanism of the electrical energy parameter of degree table is optimized, and improves its accuracy of detection, while can be to the damaged feelings of the housing of kilowatt-hour meter
Condition is detected in real time, is alarmed in time when finding that housing is damaged, to avoid occurring with electrification.
Fig. 1 is the block diagram for automating kilowatt-hour meter based on image recognition according to embodiment of the present invention,
Including EEPROM storage chips, CMOS vision sensors, image detecting apparatus and Ling Yang SPCE061A chips, EEPROM storage cores
Piece, CMOS vision sensors and image detecting apparatus joint operation, the housing feature for providing kilowatt-hour meter, Ling Yang SPCE061A
Chip is connected with EEPROM storage chips, CMOS vision sensors and image detecting apparatus respectively, for determining the outer of kilowatt-hour meter
Whether frame is damaged.
Then, continue to carry out further the concrete structure of the automation kilowatt-hour meter based on image recognition of the present invention
It is bright.
The kilowatt-hour meter includes：CMOS vision sensors, are arranged on the top of kilowatt-hour meter, and the housing towards kilowatt-hour meter is carried out
Shoot, to obtain high definition framed picture；Complexity detection device, is connected with CMOS vision sensors, for receiving high definition housing
Image graph picture, and calculated and output image complexity based on high definition framed picture image；Gray scale conversion equipment, is passed with CMOS visions
Sensor is connected, and for receiving high definition framed picture image, for each pixel in high definition framed picture image, extracts it
The Color Channel component of R, G, B tri-, different weighted values is assigned to the Color Channel component of R, G, B tri- to be weighted averagely, to obtain
Corresponding gray value is obtained, the gray value of all pixels point constitutes the weight of gray level image, wherein the Color Channel component of R, G, B tri-
Value is respectively 0.3,0.59 and 0.11.
The kilowatt-hour meter includes：A phase lines, B phase lines and C in current transformer and sample circuit, with alternating current circuit
Phase line is connected, for being sampled respectively to the current signal in A phase lines, B phase lines and C phase lines；Voltage sampling electricity
Road, is connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for A phase lines, B phase lines and C phase lines
In voltage signal be sampled respectively；Current signal conditioning circuit, is connected with current transformer and sample circuit, for taking
Sample electric current carries out signal condition.
The kilowatt-hour meter includes：Voltage signal conditioning circuit, is connected with voltage sample circuit, for being carried out to sampling voltage
Signal condition；AD73360 chips, are connected with current signal conditioning circuit and voltage signal conditioning circuit, after conditioning respectively
Sampling voltage after sampling current and conditioning performs 16 A/D conversions respectively, obtains digital current signal and digital voltage signal,
Row data communication is also entered by serial peripheral equipment interface SPI and controller.
The kilowatt-hour meter includes：EEPROM storage chips, bi-directional data is carried out by serial peripheral equipment interface SPI and controller
Exchange；System power supply power module, is connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for performing exchange
Electricity arrives the conversion of direct current, and direct current power supply is provided for each electronic device；GPRS communication interfaces, are connected with controller, use
In the active power and reactive power that receive and export alternating current circuit.
The kilowatt-hour meter includes：Display interface, is connected with controller, the active power for receiving and showing alternating current circuit
And reactive power；Electric line carrier communication equipment, is connected with controller, including carrier wave receiving circuit and carrier wave transtation mission circuit, carries
Ripple receiving circuit is made up of termination power, bandpass filter and AFE(analog front end), and carrier wave transtation mission circuit is by signal coupling circuit, resonance
Power amplifier and modulated spread spectrum signal input interface composition.
The kilowatt-hour meter includes：Image filtering equipment, is connected with complexity detection device and gray scale conversion equipment respectively, uses
In the filtering strategies that selection is determined based on image complexity, when image complexity is below default complexity range lower limit, choosing
Gaussian filtering strategy is selected to be filtered gray level image, when image complexity is more than default complexity range limit, choosing
Select mean filter strategy to be filtered gray level image, when image complexity is when within default complexity scope, in selection
Value filtering strategy is filtered to gray level image.
The kilowatt-hour meter includes：Global binarizing apparatus, is connected with complexity detection device and image filtering equipment respectively,
Determination strategy for determining global binary-state threshold based on image complexity, it is determined that after global binary-state threshold, using
Gray level image is carried out binary conversion treatment by global binary-state threshold so that the pixel value of the binary image after processing only has 0
Or 255 this two kinds selections, wherein the determination strategy for determining global binary-state threshold based on image complexity is specifically included：Work as image
When complexity is below default complexity range lower limit, global binary-state threshold is determined using Two-peak method, when image complexity exists
When more than default complexity range limit, global binary-state threshold is determined using maximum variance between clusters, when image complexity exists
When within default complexity scope, global binary-state threshold is determined using mean value method.
The kilowatt-hour meter includes：Image correcting device, is connected to receive binary image with global binarizing apparatus, is used for
Carry out rotation correction processing, redundancy successively to binary image and cut processing and image normalization processing, to obtain correction chart picture；
Contour detecting equipment, is connected with image correcting device and gray scale conversion equipment respectively, for based on default kilowatt-hour meter housing profile
The position of kilowatt-hour meter housing in correction chart picture is detected, and the position based on kilowatt-hour meter housing in correction chart picture is at gray level image
It is partitioned into corresponding kilowatt-hour meter framed picture.
The kilowatt-hour meter includes：Ling Yang SPCE061A chips, are connected with contour detecting equipment and EEPROM storage chips, use
In it is determined that matching degree between kilowatt-hour meter framed picture and default gray scale benchmark housing, and determined whether based on matching degree defeated
Go out housing normal signal, housing and breakage signal or housing badly broken signal occur；Ling Yang SPCE061A chips also respectively with
AD73360 chips, EEPROM storage chips, GPRS communication interfaces and display interface connection, pass through for receiving AD73360 chips
The digital current signal and digital voltage signal of serial peripheral equipment interface SPI output, are believed based on digital current signal and digital voltage
Number determine digital current signal virtual value, the virtual value of digital voltage signal and the active power of alternating current circuit and idle work(
Rate.
Wherein, EEPROM storage chips are additionally operable to store default gray scale benchmark housing；Wherein, electric line carrier communication equipment
It is connected with Ling Yang SPCE061A chips, for housing normal signal, housing into breakage signal or housing badly broken signal to occur
The electric power equipment management center of distal end is sent to, to there is electric power equipment management center to determine the need for changing kilowatt-hour meter.
Alternatively, in the kilowatt-hour meter：GPRS communication interfaces are 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 chips is 1M bytes；And can be by Ling Yang
SPCE061A is integrated on one piece of surface-mounted integrated circuit with AD73360 chips, EEPROM storage chips and display interface.
In addition, CMOS (Complementary Metal-Oxide-Semiconductor), Chinese scientific name is complementary metal
Oxide semiconductor, he is originally a kind of important chip in computer system, saves the most basic data of System guides.CMOS
Manufacturing technology and general computer chip do not have difference, mainly use what silicon and germanium both elements were made partly to lead
Body, makes it co-exist the semiconductor with N (band-electricity) and P (band+electricity) level, the electricity produced by the two complementary effects on CMOS
Stream, which can be processed, chip record and is interpreted to image.Found that CMOS can also be used as the figure in digital photography by processing later
As sensor.
For the portable use independently of power network, the CMOS technology famous with low power consumption characteristic is bright with one
Aobvious advantage：Cmos image sensor is designed for 5V and 3.3V supply voltages.And CCD chip then needs about 12V
Supply voltage, therefore have to using electric pressure converter, so as to cause power consumption to increase.In terms of total power consumption, control
Another benefit will be brought by being integrated into systemic-function in cmos sensor：He eliminates all outer with other semiconductor elements
Portion's connecting line.Nowadays the driver of its high power consumption has been abandoned, because the consumed energy that communicated in chip internal
It is more much lower than outside implementation by PCB or substrate.
Cmos sensor can also be subdivided into passive type element sensor (Passive Pixel Sensor CMOS) and active
Formula element sensor (Active Pixel Sensor CMOS).
Passive type element sensor (Passive Pixel Sensor, abbreviation PPS), is called passive type element sensor,
He is made up of the photodiode and a switching tube of a reverse bias.Photodiode is substantially one is partly led by p-type
The PN junction of body and N-type semiconductor composition, he can be equivalent to reverse bias diode and a mos capacitance parallel connection.When opening
When closing pipe unlatching, photodiode is connected with vertical alignment (Column bus).Charge integration positioned at alignment end amplifies
Device reading circuit (Charge integrating amplifier) holding column line voltage is a constant, when photodiode storage
Signal charge when being read, its voltage is reset to column line voltage level, at the same time, the electric charge being directly proportional to optical signal by
Charge integration amplifier is converted to electric charge output.
Active pixel sensor (Active Pixel Sensor, abbreviation APS), is called active element sensor.It is several
While CMOS PPS dot structures are invented, it is rapidly be recognized that buffer or amplifier are introduced in pixel to be changed
The performance of kind pixel, there is the amplifier of oneself in CMOS APS in each pixel.The amplifying transistor for being integrated in surface subtracts
Lack the effective surface area of pixel element, reduced " packaging density ", reflected 40%~50% incident light.This sensing
Another problem of device is that have preferable matching between the multi-channel amplifier for how making sensor, and this can be residual by reducing
The fixed pattern noise of remaining level is preferably realized.Quilt during only being read herein due to each amplifier in CMOS APS pixels
Excite, so CMOS APS power dissipation ratio ccd image sensor is also small.
Using the automation kilowatt-hour meter based on image recognition of the present invention, kilowatt-hour meter can not improved for prior art
The technical problem detected in real time to kilowatt-hour meter housing is realized while energy, identifying device is mounted on kilowatt-hour meter to avoid wasting
Common equipment space, by improving kilowatt-hour meter structure accurately to determine in three-phase power circuit each mutually and to close the wattful power of phase
Rate, reactive power and apparent energy, the housing feature for detecting kilowatt-hour meter is used for by housing detection device, and based on the electric degree
The housing feature of table determines the housing damaged degree of the kilowatt-hour meter, is carried so as to be replaced for the kilowatt-hour meter of electric administrative department
For important evidence.
Although it is understood that the present invention is disclosed as above with preferred embodiment, but above-described embodiment and being not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible variations and modification are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (2)
1. a kind of automation kilowatt-hour meter based on image recognition, including the inspection of EEPROM storage chips, CMOS vision sensors, image
Measurement equipment and Ling Yang SPCE061A chips, EEPROM storage chips, CMOS vision sensors and image detecting apparatus joint operation,
Housing feature for providing kilowatt-hour meter, Ling Yang SPCE061A chips respectively with EEPROM storage chips, CMOS vision sensors
Connected with image detecting apparatus, for determining whether the housing of kilowatt-hour meter is damaged.
2. the automation kilowatt-hour meter as claimed in claim 1 based on image recognition, it is characterised in that the kilowatt-hour meter includes：
CMOS vision sensors, are arranged on the top of kilowatt-hour meter, and the housing towards kilowatt-hour meter is shot, to obtain high definition housing
Image；
Complexity detection device, is connected with CMOS vision sensors, for receiving high definition framed picture image, and based on outside high definition
Block diagram is calculated and output image complexity as image；
Gray scale conversion equipment, is connected with CMOS vision sensors, for receiving high definition framed picture image, for block diagram outside high definition
As each pixel in image, its Color Channel component of R, G, B tri- is extracted, the Color Channel component of R, G, B tri- is assigned not
Same weighted value is average to be weighted, to obtain corresponding gray value, and the gray value of all pixels point constitutes gray level image,
The weighted value of the wherein Color Channel component of R, G, B tri- is respectively 0.3,0.59 and 0.11；
Current transformer and sample circuit, are connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for A phases
Current signal in circuit, B phase lines and C phase lines is sampled respectively；
Voltage sample circuit, is connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for A phase lines, B phases
Voltage signal in circuit and C phase lines is sampled respectively；
Current signal conditioning circuit, is connected with current transformer and sample circuit, for carrying out signal condition to sampling current；
Voltage signal conditioning circuit, is connected with voltage sample circuit, for carrying out signal condition to sampling voltage；
AD73360 chips, are connected with current signal conditioning circuit and voltage signal conditioning circuit respectively, to the sampling electricity after conditioning
Sampling voltage after stream and conditioning performs 16 A/D conversions respectively, obtains digital current signal and digital voltage signal, also passes through
Serial peripheral equipment interface SPI enters row data communication with controller；
EEPROM storage chips, bidirectional data exchange is carried out by serial peripheral equipment interface SPI and controller；
System power supply power module, is connected with the A phase lines in alternating current circuit, B phase lines and C phase lines, for performing exchange
Electricity arrives the conversion of direct current, and direct current power supply is provided for each electronic device；
GPRS communication interfaces, are connected with controller, active power and reactive power for receiving and exporting alternating current circuit；
Display interface, is connected with controller, active power and reactive power for receiving and showing alternating current circuit；
Electric line carrier communication equipment, is connected with controller, including carrier wave receiving circuit and carrier wave transtation mission circuit, and carrier wave receives electricity
Termination power, bandpass filter and AFE(analog front end) composition are route, carrier wave transtation mission circuit is amplified by signal coupling circuit, resonance power
Device and modulated spread spectrum signal input interface composition；
Image filtering equipment, is connected with complexity detection device and gray scale conversion equipment, for true based on image complexity respectively
Determine the filtering strategies of selection, when image complexity is below default complexity range lower limit, selection gaussian filtering strategy is to ash
Degreeization image is filtered, when image complexity is more than default complexity range limit, and selection mean filter strategy is to ash
Degreeization image is filtered, and when image complexity is when within default complexity scope, selection medium filtering strategy is to gray processing
Image is filtered；
Global binarizing apparatus, is connected with complexity detection device and image filtering equipment, for based on image complexity respectively
It is determined that the determination strategy of global binary-state threshold, it is determined that after global binary-state threshold, using global binary-state threshold by ash
Degreeization image carries out binary conversion treatment so that the pixel value of the binary image after processing only has 0 or 255 this two kinds selections, its
In determine that the determination strategy of global binary-state threshold is specifically included based on image complexity：When image complexity is in default complexity
When below range lower limit, global binary-state threshold is determined using Two-peak method, when image complexity is in default complexity range limit
During the above, global binary-state threshold is determined using maximum variance between clusters, when image complexity is within default complexity scope
When, global binary-state threshold is determined using mean value method；
Image correcting device, is connected to receive binary image with global binarizing apparatus, for entering successively to binary image
The processing of row rotation correction, redundancy cut processing and image normalization processing, to obtain correction chart picture；
Contour detecting equipment, is connected with image correcting device and gray scale conversion equipment respectively, for based on default kilowatt-hour meter housing
The position of kilowatt-hour meter housing in contour detecting correction chart picture, and the position based on kilowatt-hour meter housing in correction chart picture is from gray processing figure
As place is partitioned into corresponding kilowatt-hour meter framed picture；
Ling Yang SPCE061A chips, are connected with contour detecting equipment and EEPROM storage chips, for determining block diagram outside kilowatt-hour meter
Matching degree between picture and default gray scale benchmark housing, and output housing normal signal determined whether based on matching degree, it is outer
Outline existing breakage signal or housing badly broken signal；Ling Yang SPCE061A chips are also deposited with AD73360 chips, EEPROM respectively
Chip, GPRS communication interfaces and display interface connection are stored up, is exported for receiving AD73360 chips by serial peripheral equipment interface SPI
Digital current signal and digital voltage signal, digital current signal is determined based on digital current signal and digital voltage signal
The active power and reactive power of virtual value, the virtual value of digital voltage signal and alternating current circuit；
Wherein, EEPROM storage chips are additionally operable to store default gray scale benchmark housing；
Wherein, electric line carrier communication equipment is connected with Ling Yang SPCE061A chips, for housing normal signal, housing to be occurred
Breakage signal or housing badly broken signal are sent to the electric power equipment management center of distal end, to there is electric power equipment management center
Determine the need for changing kilowatt-hour meter；
The capacity of EEPROM storage chips is 1M bytes；
Ling Yang SPCE061A are integrated on one piece of surface-mounted integrated circuit with AD73360 chips, EEPROM storage chips and display interface.
Priority Applications (1)
| 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 |
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| Application Number | Priority Date | Filing Date | Title |
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| 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 | Title | Priority Date | Filing Date |
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| CN201610180489.4A Division CN105842532A (en) | 2016-03-25 | 2016-03-25 | Method for using image identification-based automatic electric meter |
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| CN107228977A true CN107228977A (en) | 2017-10-03 |
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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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| Application Number | Title | Priority Date | Filing Date |
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| CN201610180489.4A Pending CN105842532A (en) | 2016-03-25 | 2016-03-25 | Method for using image identification-based automatic electric meter |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| US20110298301A1 (en) * | 2010-04-20 | 2011-12-08 | Equal Networks, Inc. | 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 |
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2016
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| CN105842532A (en) | 2016-08-10 |
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Application publication date: 20171003 |