CN105592253A - Method for carrying out automatic meter reading on energy meter based on image acquisition and automatic meter reading platform - Google Patents

Method for carrying out automatic meter reading on energy meter based on image acquisition and automatic meter reading platform Download PDF

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Publication number
CN105592253A
CN105592253A CN201610122885.1A CN201610122885A CN105592253A CN 105592253 A CN105592253 A CN 105592253A CN 201610122885 A CN201610122885 A CN 201610122885A CN 105592253 A CN105592253 A CN 105592253A
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China
Prior art keywords
image
bezel
processing
value
cluster
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CN201610122885.1A
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Chinese (zh)
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不公告发明人
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周杰
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Priority to CN201510152400.9A priority Critical patent/CN104702920B/en
Publication of CN105592253A publication Critical patent/CN105592253A/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed circuit television systems, i.e. systems in which the signal is not broadcast
    • H04N7/183Closed circuit television systems, i.e. systems in which the signal is not broadcast for receiving images from a single remote source
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/2251Constructional details
    • H04N5/2254Mounting of optical parts, e.g. lenses, shutters, filters or optical parts peculiar to the presence or use of an electronic image sensor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • G06K9/32Aligning or centering of the image pick-up or image-field
    • G06K9/3233Determination of region of interest
    • G06K9/325Detection of text region in scene imagery, real life image or Web pages, e.g. licenses plates, captions on TV images
    • G06K9/3258Scene text, e.g. street name
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/2251Constructional details
    • H04N5/2253Mounting of pick-up device, electronic image sensor, deviation or focusing coils
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R11/00Electromechanical arrangements for measuring time integral of electric power, i.e. electric energy or current, e.g. of consumption
    • G01R11/02Constructional details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/54Combinations of preprocessing functions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/001Image restoration
    • G06T5/003Deblurring; Sharpening
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/225Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
    • H04N5/232Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed circuit television systems, i.e. systems in which the signal is not broadcast
    • H04N7/181Closed circuit television systems, i.e. systems in which the signal is not broadcast for receiving images from a plurality of remote sources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/04Picture signal generators
    • H04N9/045Picture signal generators using solid-state devices

Abstract

The present invention relates to a method for carrying out automatic meter reading on an energy meter based on image acquisition and an automatic meter reading platform. The method comprises the steps of (1) capturing the meter frame of the energy meter through a CMOS image sensor to obtain an meter frame image, (2) carrying out image processing on the meter frame image obtained in the step (1) through a digital signal processor to obtain an energy meter reading, and (3) storing and displaying the energy meter reading obtained in the step (2) through a FLASH memory and an LCD screen. The method is implemented by the automatic meter reading platform based on CMOS image acquisition. The platform comprises the CMOS image sensor, the digital signal processor, the LCD screen and the FLASH memory, wherein the CMOS image sensor, the LCD screen and the FLASH memory are connected to the digital signal processor. By the present invention, an original cumbersome manual meter reading operation can be replaced, the influences of fog and haze weather on meter reading is overcome, and the efficiency and accuracy of the meter reading is improved.

Description

Based on IMAQ, electric energy meter is carried out method and the automatic data logging platform of automatic data logging
Technical field
The present invention relates to electric energy meter field, relate in particular to a kind of method of based on cmos image collection, electric energy meter being carried out automatic data logging.
Background technology
Electric energy meter is the instrument of measuring with electric unit or personal electric reading, it is the important referential data of power supply department charge and allotment electric power resource, the One's name is legion of electric energy meter simultaneously, substantially each need to arrange an electric energy meter by electric unit, and each family resident also needs to arrange separately an electric energy meter. Thereby, can find out from value and the characteristic distributions of electric energy meter, the reading collection of electric energy meter need to meet efficient and high-precision requirement simultaneously.
But all there is intrinsic defect in electric energy meter reading scheme of the prior art: (1), although manual meter reading method can ensure to gather the precision of reading, need to expend a large amount of costs of labor, and collecting efficiency is not high, and real-time is not strong; (2) more existing electronic meter reading schemes can only ensure the reading collection under home; because much electricity table is placed in open air; under the lower weather of visibility; for example, under foggy days environment; tend to cause the electric energy meter of shooting image blurring unclear; correspondingly, the error in reading of identification is very large.
Therefore, need a kind of new automatic copying electric meter method, adopt the mode of electronic meter reading to substitute original manual metering mode, simultaneously, electronic meter reading mode is carried out to upgrading, increase Sharp processing of image function, overcome the adverse effect of foggy days to electric energy meter Recognition of Reading, thereby can meet the efficient and high-precision requirement that electric energy meter reading gathers.
Summary of the invention
In order to address the above problem, according to an aspect of the present invention, the invention provides a kind of method of based on cmos image collection, electric energy meter being carried out automatic data logging, it comprises:
(1) by cmos image sensor, the bezel, cluster of electric energy meter is taken to obtain bezel, cluster image;
(2) the bezel, cluster image by digital signal processor, step (1) being obtained carries out image processing, to obtain electric energy meter reading;
(3) the electric energy meter reading respectively step (2) being obtained by FLASH memory and LCD display is stored and shows;
The automatic copying electric meter platform that wherein said method utilization gathers based on cmos image is implemented, described platform comprises cmos image sensor, digital signal processor, LCD display and FLASH memory, and wherein said cmos image sensor, described LCD display and described FLASH memory are connected with described digital signal processor respectively.
Particularly, described cmos image sensor is for taking to obtain bezel, cluster image to the bezel, cluster of electric energy meter, described digital signal processor is connected with described cmos image sensor, for described bezel, cluster image is carried out to image processing, to obtain electric energy meter reading, described FLASH memory is connected with described digital signal processor, for storing described electric energy meter reading, described LCD display is connected with described digital signal processor, for showing described electric energy meter reading.
More specifically, the described automatic copying electric meter platform based on cmos image collection also comprises: CSI interface, between cmos image sensor and image pre-processing device, send image pre-processing device to for the bezel, cluster image that described cmos image sensor is taken;
The first parallel port, between described digital signal processor and described LCD display, for described numeral is believed
The electric energy meter reading that number processor obtains sends described LCD display to show;
The second parallel port, between described digital signal processor and described FLASH memory, sends described FLASH memory to store for the electric energy meter reading that described digital signal processor is obtained;
Power supply, comprise solar powered device, battery, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described battery, determine whether be switched to described solar powered device to be powered by described solar powered device according to battery dump energy, described electric pressure converter is connected with described change-over switch, taking by the 5V voltage transitions of inputting by change-over switch as 3.3V voltage;
Image pre-processing device, between described CSI interface and described digital signal processor, be used for receiving described bezel, cluster image, described bezel, cluster image is carried out to mist elimination processing to obtain mist elimination bezel, cluster image, described mist elimination bezel, cluster image is inputted to described digital signal processor to carry out image processing to obtain electric energy meter reading.
More specifically, described image pre-processing device also comprises:
Storage subset, for pre-stored sky upper limit gray threshold and sky lower limit gray threshold, described sky upper limit gray threshold and described sky lower limit gray threshold are for separating of the sky dummy section of publishing picture in picture, also, for pre-stored presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255;
Haze concentration detects subset, is arranged in air, for detecting in real time the haze concentration of electric energy meter position, and determines haze removal intensity according to haze concentration, and described haze is removed intensity value between 0 to 1;
Subset is divided in region, connect described CSI interface to receive described bezel, cluster image, described bezel, cluster image is carried out to gray processing processing to obtain gray processing bezel, cluster image, also be connected with storage subset, pixel by gray value in described gray processing bezel, cluster image between described sky upper limit gray threshold and described sky lower limit gray threshold is identified and is formed gray processing sky sub pattern, be partitioned into described gray processing sky sub pattern to obtain the non-sky subimage of gray processing from described gray processing bezel, cluster image, position based on the non-sky subimage of described gray processing in described bezel, cluster image obtains the colour non-sky subimage corresponding with the non-sky subimage of described gray processing,
Black channel obtains subset, divides subset be connected to obtain the non-sky subimage of described colour with described region, for each pixel in the non-sky subimage of described colour, calculates its R, G, and B tri-Color Channel pixel values, at described coloured silk
The R of all pixels in look non-sky subimage, G, extracts the Color Channel at Color Channel pixel value place of a numerical value minimum as black channel in B tri-Color Channel pixel values;
Entirety atmosphere light value obtains subset, be connected to obtain presetted pixel value threshold value with described storage subset, obtain subset with described region division subset and described black channel and be connected respectively to obtain described bezel, cluster image and described black channel, the multiple pixels that black channel pixel value in described bezel, cluster image are more than or equal to presetted pixel value threshold value form set of pixels to be tested, will in described set of pixels to be tested, have the gray value atmosphere light value as a whole of pixel of maximum gradation value, atmospheric scattering light value obtains subset, detecting subset with described region division subset and described haze concentration is connected respectively, to each pixel of described bezel, cluster image, extract its R, G, in B tri-Color Channel pixel values, minimum of a value is as target pixel value, use the Gaussian filter EPGF (edge-preservinggaussianfilter) of keep the edge information to carry out filtering processing to obtain filtering target pixel value to described target pixel value, target pixel value is deducted to filtering target pixel value to obtain object pixel difference, use EPGF to carry out filtering processing to obtain filtering object pixel difference to object pixel difference, filtering target pixel value is deducted to filtering object pixel difference and remove a reference value to obtain haze, haze is removed to intensity and be multiplied by haze removal a reference value to obtain haze removal threshold value, get haze and remove the minimum of a value reference value as a comparison in threshold value and target pixel value, get maximum in comparison reference and the 0 atmospheric scattering light value as each pixel, medium transmission rate is obtained subset, obtaining subset and described atmospheric scattering light value with described overall atmosphere light value obtains subset and is connected respectively, the atmospheric scattering light value of each pixel is removed to value divided by overall atmosphere light value with acquisition, deduct described except value is to obtain the medium transmission rate of each pixel by 1, sharpening image acquisition subset, divide subset with described region, described overall atmosphere light value obtains subset and obtains subset with described medium transmission rate and be connected respectively, by the 1 medium transmission rate that deducts each pixel to obtain the first difference, described the first difference is multiplied by overall atmosphere light value to obtain product value, the pixel value of each pixel in described bezel, cluster image is deducted to described product value to obtain the second difference, by described the second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described bezel, cluster image, the pixel value of each pixel comprises the R of each pixel in described bezel, cluster image, G, B tri-Color Channel pixel values, correspondingly, the sharpening pixel value of each pixel obtaining comprises the R of each pixel, G, B tri-Color Channel sharpening pixel values, the sharpening pixel value composition mist elimination bezel, cluster image of all pixels,
Wherein, described haze concentration detects subset and is also built-in with static storage cell, and for pre-stored comparison table, haze concentration preserved by described comparison table and haze is removed the corresponding relation between intensity.
Particularly, the bezel, cluster image that described cmos image sensor is taken sends image pre-processing device to, described image pre-processing device carries out mist elimination processing to obtain mist elimination bezel, cluster image to described bezel, cluster image, after being inputted to described digital signal processor, described mist elimination bezel, cluster image carries out successively image sharpening, self adaptation recursive filtering and OCR identifying processing, to obtain electric energy meter reading.
Particularly, in described method, described cmos image sensor is the OV7640 sensor of Omnivision company.
Particularly, in described method, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset adopts respectively different fpga chips to realize.
Particularly, in described method, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset is integrated on a circuit board.
Particularly, in described method, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset is integrated in a fpga chip.
According to another aspect of the present invention, the present invention also provides a kind of automatic copying electric meter platform gathering based on cmos image, described platform comprises digital signal processor, LCD display, FLASH memory and cmos image sensor, described cmos image sensor is for taking to obtain bezel, cluster image to the bezel, cluster of electric energy meter, described digital signal processor is connected with described cmos image sensor, for described bezel, cluster image is carried out to image processing, to obtain electric energy meter reading, described FLASH memory is connected with described digital signal processor, be used for storing described electric energy meter reading, described LCD display is connected with described digital signal processor, be used for showing described electric energy meter reading.
More specifically, in the described automatic copying electric meter platform gathering based on cmos image, also comprise: CSI interface, between cmos image sensor and image pre-processing device, sends image pre-processing device to for the bezel, cluster image that described cmos image sensor is taken;
The first parallel port, between described digital signal processor and described LCD display, sends described LCD display to show for the electric energy meter reading that described digital signal processor is obtained;
The second parallel port, between described digital signal processor and described FLASH memory, for by described numeral
The electric energy meter reading that signal processor obtains sends described FLASH memory to store;
Power supply, comprise solar powered device, battery, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described battery, determine whether be switched to described solar powered device to be powered by described solar powered device according to battery dump energy, described electric pressure converter is connected with described change-over switch, taking by the 5V voltage transitions of inputting by change-over switch as 3.3V voltage;
Image pre-processing device, between described CSI interface and described digital signal processor, be used for receiving described bezel, cluster image, described bezel, cluster image is carried out to mist elimination processing to obtain mist elimination bezel, cluster image, described mist elimination bezel, cluster image is inputted to described digital signal processor to carry out image processing to obtain electric energy meter reading.
More specifically, described image pre-processing device also comprises:
Storage subset, for pre-stored sky upper limit gray threshold and sky lower limit gray threshold, described sky upper limit gray threshold and described sky lower limit gray threshold are for separating of the sky dummy section of publishing picture in picture, also, for pre-stored presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255;
Haze concentration detects subset, is arranged in air, for detecting in real time the haze concentration of electric energy meter position, and determines haze removal intensity according to haze concentration, and described haze is removed intensity value between 0 to 1;
Subset is divided in region, connect described CSI interface to receive described bezel, cluster image, described bezel, cluster image is carried out to gray processing processing to obtain gray processing bezel, cluster image, also be connected with storage subset, pixel by gray value in described gray processing bezel, cluster image between described sky upper limit gray threshold and described sky lower limit gray threshold is identified and is formed gray processing sky sub pattern, be partitioned into described gray processing sky sub pattern to obtain the non-sky subimage of gray processing from described gray processing bezel, cluster image, position based on the non-sky subimage of described gray processing in described bezel, cluster image obtains the colour non-sky subimage corresponding with the non-sky subimage of described gray processing,
Black channel obtains subset, divide subset with described region and be connected to obtain the non-sky subimage of described colour, for each pixel in the non-sky subimage of described colour, calculate its R, G, B tri-Color Channel pixel values, the R of all pixels in the non-sky subimage of described colour, G, extracts the Color Channel at Color Channel pixel value place of a numerical value minimum as black channel in B tri-Color Channel pixel values;
Entirety atmosphere light value obtains subset, be connected to obtain presetted pixel value threshold value with described storage subset, obtain subset with described region division subset and described black channel and be connected respectively to obtain described bezel, cluster image and described black channel, the multiple pixels that black channel pixel value in described bezel, cluster image are more than or equal to presetted pixel value threshold value form set of pixels to be tested, will in described set of pixels to be tested, have the gray value atmosphere light value as a whole of pixel of maximum gradation value;
Atmospheric scattering light value obtains subset, detecting subset with described region division subset and described haze concentration is connected respectively, to each pixel of described bezel, cluster image, extract its R, G, in B tri-Color Channel pixel values, minimum of a value is as target pixel value, use the Gaussian filter EPGF (edge-preservinggaussianfilter) of keep the edge information to carry out filtering processing to obtain filtering target pixel value to described target pixel value, target pixel value is deducted to filtering target pixel value to obtain object pixel difference, use EPGF to carry out filtering processing to obtain filtering object pixel difference to object pixel difference, filtering target pixel value is deducted to filtering object pixel difference and remove a reference value to obtain haze, haze is removed to intensity and be multiplied by haze removal a reference value to obtain haze removal threshold value, get haze and remove the minimum of a value reference value as a comparison in threshold value and target pixel value, get maximum in comparison reference and the 0 atmospheric scattering light value as each pixel,
Medium transmission rate is obtained subset, obtaining subset and described atmospheric scattering light value with described overall atmosphere light value obtains subset and is connected respectively, the atmospheric scattering light value of each pixel is removed to value divided by overall atmosphere light value with acquisition, deduct described except value is to obtain the medium transmission rate of each pixel by 1;
Sharpening image acquisition subset, divide subset with described region, described overall atmosphere light value obtains subset and obtains subset with described medium transmission rate and be connected respectively, by the 1 medium transmission rate that deducts each pixel to obtain the first difference, described the first difference is multiplied by overall atmosphere light value to obtain product value, the pixel value of each pixel in described bezel, cluster image is deducted to described product value to obtain the second difference, by described the second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described bezel, cluster image, the pixel value of each pixel comprises the R of each pixel in described bezel, cluster image, G, B tri-Color Channel pixel values, correspondingly, the sharpening pixel value of each pixel obtaining comprises the R of each pixel, G, B tri-Color Channel sharpening pixel values, the sharpening pixel value composition mist elimination bezel, cluster image of all pixels,
Described digital signal processor, receiving after described mist elimination bezel, cluster image, carries out image sharpening, self adaptation recursive filtering and OCR identifying processing to described mist elimination bezel, cluster image, successively to obtain electric energy meter reading;
Wherein, described haze concentration detects subset and is also built-in with static storage cell, and for pre-stored comparison table, haze concentration preserved by described comparison table and haze is removed the corresponding relation between intensity.
More specifically, in the described automatic copying electric meter platform gathering based on cmos image, described cmos image sensor is the OV7640 sensor of Omnivision company.
More specifically, in the described automatic copying electric meter platform gathering based on cmos image, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset adopts respectively different fpga chips to realize.
More specifically, in the described automatic copying electric meter platform gathering based on cmos image, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset is integrated on a circuit board.
More specifically, in the described automatic copying electric meter platform gathering based on cmos image, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset is integrated in a fpga chip.
The automatic copying electric meter platform that electric energy meter is carried out the method for automatic data logging and gathered based on cmos image based on cmos image collection of the present invention, utilize high-precision acquisition technology and image processing techniques, ensure the high efficiency of data acquisition, determine the influence factor of haze to image according to atmospheric attenuation model simultaneously, and the electric energy meter image gathering under foggy days is carried out to the processing of mist elimination haze, obtain electric energy meter image clearly, thereby ensure the accuracy that reading gathers.
Brief description of the drawings
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of automatic copying electric meter platform gathering based on cmos image illustrating according to an embodiment of the present invention.
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the automatic copying electric meter platform based on cmos image collection of the present invention is elaborated.
Electric energy can convert various energy to. As: by electric furnace energy transform into heat energy, convert mechanical energy to by motor, convert luminous energy etc. to by electric light. And the ammeter that records this electric energy is electric energy meter.
The operation principle of electric energy meter is as follows: when electric energy meter access circuit-under-test, just have alternating current to flow through in current coil and potential winding, these two alternating currents produce respectively the magnetic flux of alternation in their iron core; Alternating flux, through aluminium dish, induces eddy current in aluminium dish; Eddy current is subject to again the effect of power in magnetic field, thereby makes aluminium dish obtain torque (initiatively moment) and rotate. The power of load consumption is larger, larger by the electric current of current coil, and the eddy current inducing in aluminium dish is also larger, and the moment that aluminium dish is rotated is just larger. The size that is torque is directly proportional with the power of load consumption. Power is larger, and torque is also larger, and aluminium dish rotates also just faster. When aluminium dish rotates, be subject to again the effect of the braking moment of permanent magnet generation, braking moment and active moment opposite direction; The size of braking moment is directly proportional to the rotating speed of aluminium dish, and aluminium dish rotates sooner, and braking moment is also larger. In the time that active moment and braking moment reach transient equilibrium, aluminium dish is by uniform rotation. The electric energy that load consumes is directly proportional to the revolution of aluminium dish. When aluminium dish rotates, drive counter, consumed electric energy is indicated. The simple procedure of electric energy meter work that Here it is.
Because electric energy meter has widely distributedly, and the correctness of electric energy meter reading is extremely important. Therefore, the collection of electric energy meter reading should be accurate again fast. But electric energy meter reading acquisition platform of the prior art cannot meet this 2 requirements simultaneously. For this reason, the present invention has built a kind of automatic copying electric meter platform gathering based on cmos image, meet efficient requirement by image acquisition and processing technology targetedly, realize and under bad weather, also can carry out the collection of high-precision electric energy meter reading by the processing of mist elimination haze, thereby meet the setting requirement of power supply department.
Fig. 1 is the block diagram of automatic copying electric meter platform gathering based on cmos image illustrating according to an embodiment of the present invention, described platform comprises digital signal processor 1, LCD display 4, FLASH memory 3 and cmos image sensor 2, described cmos image sensor 2 is for taking to obtain bezel, cluster image to the bezel, cluster of electric energy meter, described digital signal processor 1 is connected with described cmos image sensor 2, for described bezel, cluster image is carried out to image processing, to obtain electric energy meter reading, described FLASH memory 3 is connected with described digital signal processor 1, be used for storing described electric energy meter reading, described LCD display 4 is connected with described digital signal processor 1, be used for showing described electric energy meter reading.
Then, continue the concrete structure of the automatic copying electric meter platform based on cmos image collection of the present invention to be further detailed.
Described platform also comprises: CSI interface, between cmos image sensor 2 and image pre-processing device, sends image pre-processing device to for the bezel, cluster image that described cmos image sensor 2 is taken.
Described platform also comprises: the first parallel port, between described digital signal processor 1 and described LCD display 4, sends described LCD display 4 to show for the electric energy meter reading that described digital signal processor 1 is obtained.
Described platform also comprises: the second parallel port, between described digital signal processor 1 and described FLASH memory 3, sends described FLASH memory 3 to store for the electric energy meter reading that described digital signal processor 1 is obtained.
Described platform also comprises: power supply, comprise solar powered device, battery, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described battery, determine whether be switched to described solar powered device to be powered by described solar powered device according to battery dump energy, described electric pressure converter is connected with described change-over switch, taking by the 5V voltage transitions of inputting by change-over switch as 3.3V voltage.
Described platform also comprises: image pre-processing device, between described CSI interface and described digital signal processor 1, be used for receiving described bezel, cluster image, described bezel, cluster image is carried out to mist elimination processing to obtain mist elimination bezel, cluster image, described mist elimination bezel, cluster image is inputted to described digital signal processor 1 to carry out image processing to obtain electric energy meter reading.
Described image pre-processing device also comprises: storage subset, and for pre-stored sky upper limit gray threshold and sky
Empty lower limit gray threshold, described sky upper limit gray threshold and described sky lower limit gray threshold are for separating of the sky dummy section of publishing picture in picture, and also for pre-stored presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255.
Described image pre-processing device also comprises: haze concentration detects subset, is arranged in air, for detecting in real time the haze concentration of electric energy meter position, and determines haze removal intensity according to haze concentration, and described haze is removed intensity value between 0 to 1.
Described image pre-processing device also comprises: subset is divided in region, connect described CSI interface to receive described bezel, cluster image, described bezel, cluster image is carried out to gray processing processing to obtain gray processing bezel, cluster image, also be connected with storage subset, pixel by gray value in described gray processing bezel, cluster image between described sky upper limit gray threshold and described sky lower limit gray threshold is identified and is formed gray processing sky sub pattern, be partitioned into described gray processing sky sub pattern to obtain the non-sky subimage of gray processing from described gray processing bezel, cluster image, position based on the non-sky subimage of described gray processing in described bezel, cluster image obtains the colour non-sky subimage corresponding with the non-sky subimage of described gray processing.
Described image pre-processing device also comprises: black channel obtains subset, divide subset with described region and be connected to obtain the non-sky subimage of described colour, for each pixel in the non-sky subimage of described colour, calculate its R, G, B tri-Color Channel pixel values, the R of all pixels in the non-sky subimage of described colour, G, extracts the Color Channel at Color Channel pixel value place of a numerical value minimum as black channel in B tri-Color Channel pixel values.
Described image pre-processing device also comprises: overall atmosphere light value obtains subset, be connected to obtain presetted pixel value threshold value with described storage subset, obtain subset with described region division subset and described black channel and be connected respectively to obtain described bezel, cluster image and described black channel, the multiple pixels that black channel pixel value in described bezel, cluster image are more than or equal to presetted pixel value threshold value form set of pixels to be tested, will in described set of pixels to be tested, have the gray value atmosphere light value as a whole of pixel of maximum gradation value.
Described image pre-processing device also comprises: atmospheric scattering light value obtains subset, detecting subset with described region division subset and described haze concentration is connected respectively, to each pixel of described bezel, cluster image, extract its R, G, in B tri-Color Channel pixel values, minimum of a value is as target pixel value, use the Gaussian filter EPGF (edge-preservinggaussianfilter) of keep the edge information to carry out filtering processing to obtain filtering target pixel value to described target pixel value, target pixel value is deducted to filtering target pixel value to obtain object pixel difference, use EPGF to carry out filtering processing to obtain filtering object pixel difference to object pixel difference, filtering target pixel value is deducted to filtering object pixel difference and remove a reference value to obtain haze, haze is removed to intensity and be multiplied by haze removal a reference value to obtain haze removal threshold value, get haze and remove the minimum of a value reference value as a comparison in threshold value and target pixel value, get maximum in comparison reference and the 0 atmospheric scattering light value as each pixel.
Described image pre-processing device also comprises: medium transmission rate is obtained subset, obtain subset and described atmospheric scattering light value with described overall atmosphere light value and obtain subset and be connected respectively, by the atmospheric scattering light value of each pixel divided by entirety
Atmosphere light value, to obtain except value, deducts described except value is to obtain the medium transmission rate of each pixel by 1.
Described image pre-processing device also comprises: sharpening image acquisition subset, divide subset with described region, described overall atmosphere light value obtains subset and obtains subset with described medium transmission rate and be connected respectively, by the 1 medium transmission rate that deducts each pixel to obtain the first difference, described the first difference is multiplied by overall atmosphere light value to obtain product value, the pixel value of each pixel in described bezel, cluster image is deducted to described product value to obtain the second difference, by described the second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described bezel, cluster image, the pixel value of each pixel comprises the R of each pixel in described bezel, cluster image, G, B tri-Color Channel pixel values, correspondingly, the sharpening pixel value of each pixel obtaining comprises the R of each pixel, G, B tri-Color Channel sharpening pixel values, the sharpening pixel value composition mist elimination bezel, cluster image of all pixels.
Described digital signal processor 1, receiving after described mist elimination bezel, cluster image, carries out image sharpening, self adaptation recursive filtering and OCR identifying processing to described mist elimination bezel, cluster image, successively to obtain electric energy meter reading.
Wherein, described haze concentration detects subset and is also built-in with static storage cell, and for pre-stored comparison table, haze concentration preserved by described comparison table and haze is removed the corresponding relation between intensity.
More specifically, in the described automatic copying electric meter platform gathering based on cmos image, described cmos image sensor is the OV7640 sensor of Omnivision company.
Wherein, in described platform, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset can adopt respectively different fpga chips to realize; Or described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset can be integrated on a circuit board; Alternatively, described region is divided subset, described black channel and is obtained subset, described overall atmosphere light value and obtain that subset, described atmospheric scattering light value obtain subset, described medium transmission rate obtains subset and described sharpening image acquisition subset can be integrated in a fpga chip.
In addition, haze image can be realized by a series of images treatment facility the mist elimination haze of image, to obtain the image of sharpening, improves the visibility of image. These image processing equipments are carried out respectively different image processing functions, and the principle forming based on haze reaches the effect of removing haze. The sharpening of haze image is processed all has great using value for dual-use field, and military domain comprises military and national defense, remote sensing navigation etc., and civil area comprises road monitoring, target following and automatic Pilot etc.
The process that haze image forms can be described by atmospheric attenuation process, be that relation between sharpening image can be explained by the medium transmission rate of overall atmosphere light value and each pixel at haze image and real image, the in the situation that of known haze image, according to the medium transmission rate of overall atmosphere light value and each pixel, can solve sharpening image.
There are some effectively and means of process checking in the solving of medium transmission rate for overall atmosphere light value and each pixel, for example, for the medium transmission rate of each pixel, need to obtain the atmospheric scattering light value of overall atmosphere light value and each pixel, and the atmospheric scattering light value of each pixel can be to each pixel, the pixel value in haze image carries out the Gaussian smoothing filtering of twice keep the edge information and obtains, therebetween, the intensity that haze is removed is adjustable, and overall atmosphere light value can (make the black channel value of some pixels very low by the black channel that obtains haze image in haze image, black channel is R, G, one in B tri-Color Channels), in haze image, the pixel of finding gray value maximum by finding in black channel pixel value multiple pixels bigger than normal obtains, be about to search out, the gray value of the pixel of gray value maximum is atmosphere light value as a whole, participate in the sharpening processing of each pixel in haze image. concrete haze image and real image are the relation between sharpening image, and relation between parameters can be referring to above content.
By haze image being formed to the discussion of principle, build the relation between haze image and sharpening image, by this relation of multiple Parametric Representations, be the higher image of reducible acquisition definition by the multiple parameter values and the haze image that obtain subsequently, because some statistical means and empirical means have been used in the acquisition of parameter, therefore the image that described definition is higher can not be equal to real image completely, but there is the mist elimination haze effect of certain degree, for the every field operation under haze weather provides effective guarantee.
In addition, parallel port is parallel interface, refers to adopt parallel transmission mode to transmit the interface standard of data. From the simplest parallel data register or special purpose interface IC chip, as 8255,6820 etc., to more complicated SCSI or IDE parallel interface, kind has tens of kinds.
The interface features of a parallel interface can be described from two aspects: the width of the data channel of 1, transmitting with parallel mode, also claims the figure place that interface transmits; 2, for coordinating the additional interface control line of parallel data transmission or claiming the characteristic of interactive signal. The width of data can be from 1-128 position or wider, and the most frequently used is 8, can once transmit 8 data bit by interface. Usually said LPT interface in the most frequently used parallel interface of computer realm.
Adopt the automatic copying electric meter platform gathering based on cmos image of the present invention, low and may have at bad weather the technical problem that precision is not high for existing electric energy meter reading system effectiveness, by adopting IMAQ and image processing techniques targetedly, substitute manual metering mode, improve meter reading efficiency, simultaneously, add the image preprocess apparatus based on atmospheric attenuation model to realize the processing of mist elimination haze, reduce haze on the impact of quality of the image of checking meter, avoid electric energy meter reading image data disturbed.
Be understandable that, although the present invention discloses as above with preferred embodiment, but above-described embodiment is not in order to limit the present invention. For any those of ordinary skill in the art, do not departing from technical solution of the present invention scope situation, all can utilize the technology contents of above-mentioned announcement to make many possible variations and modification to technical solution of the present invention, or be revised as the equivalent embodiment of equivalent variations. Therefore, every content that does not depart from technical solution of the present invention,, all still belongs in the scope of technical solution of the present invention protection any simple modification made for any of the above embodiments, equivalent variations and modification according to technical spirit of the present invention.

Claims (1)

1. a method of based on cmos image collection, electric energy meter being carried out automatic data logging, it comprises:
(1) by cmos image sensor, the bezel, cluster of electric energy meter is taken to obtain bezel, cluster image;
(2) the bezel, cluster image by digital signal processor, step (1) being obtained carries out image processing, to obtain electric energy meter reading;
(3) the electric energy meter reading respectively step (2) being obtained by FLASH memory and LCD display is stored and shows;
The automatic copying electric meter platform that described method utilization gathers based on cmos image is implemented, described platform comprises cmos image sensor, digital signal processor, LCD display and FLASH memory, and wherein said cmos image sensor, described LCD display and described FLASH memory are connected with described digital signal processor respectively;
Described automatic copying electric meter platform also comprises:
CSI interface, between cmos image sensor and image pre-processing device, sends image pre-processing device to for the bezel, cluster image that described cmos image sensor is taken;
The first parallel port, between described digital signal processor and described LCD display, sends described LCD display to show for the electric energy meter reading that described digital signal processor is obtained;
The second parallel port, between described digital signal processor and described FLASH memory, sends described FLASH memory to store for the electric energy meter reading that described digital signal processor is obtained;
Power supply, comprise solar powered device, battery, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described battery, determine whether be switched to described solar powered device to be powered by described solar powered device according to battery dump energy, described electric pressure converter is connected with described change-over switch, taking by the 5V voltage transitions of inputting by change-over switch as 3.3V voltage;
Image pre-processing device, between described CSI interface and described digital signal processor, be used for receiving described bezel, cluster image, described bezel, cluster image is carried out to mist elimination processing to obtain mist elimination bezel, cluster image, described mist elimination bezel, cluster image is inputted to described digital signal processor to carry out image processing to obtain electric energy meter reading;
The bezel, cluster image that described cmos image sensor is taken sends image pre-processing device to, described image pre-processing device carries out mist elimination processing to obtain mist elimination bezel, cluster image to described bezel, cluster image, after being inputted to described digital signal processor, described mist elimination bezel, cluster image carries out successively image sharpening, self adaptation recursive filtering and OCR identifying processing, to obtain electric energy meter reading;
Described cmos image sensor is the OV7640 sensor of Omnivision company.
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