CN105242232A - Automatic checking method for fault of outdoor electric energy meter - Google Patents
Automatic checking method for fault of outdoor electric energy meter Download PDFInfo
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- CN105242232A CN105242232A CN201510649244.7A CN201510649244A CN105242232A CN 105242232 A CN105242232 A CN 105242232A CN 201510649244 A CN201510649244 A CN 201510649244A CN 105242232 A CN105242232 A CN 105242232A
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Abstract
The invention relates to an automatic checking method for a fault of an outdoor electric energy meter. The method includes the steps: sending a test signal to a to-be-checked electric energy meter by means of an infrared transceiver so that the to-be-checked electric energy meter controls a display of the meter to display a test string included by the test signal; photographing the display of the to-be-checked electric energy meter by means of a CCD high definition camera to enable a test image to be output; processing the test image by an image processor so that a string in the test image is output, serves as an identification string and then is output; and utilizing an ARM11 processor to compare the identification string with the test string to determine whether a fault alarm signal is emitted. The method also comprises the step of demisting the image. The automatic checking method can automatically and accurate check a fault of an outdoor electric energy meter in all weather conditions.
Description
The divisional application of the patent of " outdoor electrical energy meter fault self-verifying method " that the present invention is application number is 201510152737.X, the applying date, to be April 1, denomination of invention in 2015 be.
Technical field
The present invention relates to electric energy meter field, particularly relate to a kind of outdoor electrical energy meter fault self-verifying method.
Background technology
Electric energy meter be power supply management department be used for detecting each with electric unit or individual use the metering outfit of electric energy, carry out the foundation of charging with electric unit or individual to each, therefore, electric energy meter whether exist fault determine power supply department whether can charge to electric unit or individual equitably.
The information of electric energy meter is passed on mainly through its display screen.In the production run of electric energy meter, its display screen or treatment facility or transmission equipment there will be defect unavoidably, cause the display of display screen not meet expection, existing defects, have a strong impact on the reception and registration of metrical information.Therefore, needing suspecting that the electric energy meter that there is fault detects, especially for some outdoor electric energy meters, because distance high-voltage circuit is comparatively near, being unfavorable for dismounting, being also unfavorable near inspection, thus higher to the requirement of inspection.
In prior art, display defect is carried out to the outdoor electric energy meter of suspected malfunctions and detect main employing manual detection mode, detection operation is many, testing staff needs the step complexity inputted, accuracy and the efficiency of detection are not high, and need to lay down electric energy meter and carry out offline inspection, even if having some electronics in X-ray inspection X terminal, for the outdoor electric energy meter under haze weather, because some can not, near detecting, cause its accuracy of detection to be easy to be subject to the impact of haze degree near high-tension line.
Therefore, need a kind of outdoor electrical energy meter fault method of inspection based on detection of electrons newly, substitute the manual detection mode of complicated poor efficiency, transform existing simply constructed electronic checkout terminal, realize the on-line checkingi of the display defect to various types of outdoor electric energy meter.
Summary of the invention
In order to solve the problem, according to an aspect of the present invention, the invention provides a kind of outdoor electrical energy meter fault self-verifying method, it comprises: utilize infrared transceiver to send test massage to detected electric energy meter, so that described detected electric energy meter controls its display screen show the test character string that described test signal comprises; The display screen of CCD high-definition camera to described detected electric energy meter is utilized to take to export test pattern; Image processor is utilized to carry out image procossing to described test pattern, to identify character string in described test pattern and to export as identification string; ARM11 processor is utilized to compare, described identification string and described test character string to determine whether to send failure alarm signal.
Preferably, wherein said CCD high-definition camera is also taken to export contour images to the profile of described detected electric energy meter, and the resolution of described test pattern and described contour images is all 1920 × 1080.
More specifically, described method comprises further and carries out mist elimination process respectively to obtain the step of mist elimination test pattern and mist elimination contour images to described test pattern and described contour images.
Preferably, described method utilizes outdoor electrical energy meter fault automatic gauging terminal to implement.Therefore, according to another aspect of the present invention, present invention also offers a kind of outdoor electrical energy meter fault automatic gauging terminal, described inspection terminal comprises infrared transceiver, CCD high-definition camera, image processor and ARM11 processor, described infrared transceiver is used for sending test massage to detected electric energy meter, so that described detected electric energy meter controls its display screen show the test character string that described test signal comprises, described CCD high-definition camera is used for taking to export test pattern to the display screen of described detected electric energy meter, described image processor is connected with described CCD high-definition camera, for carrying out image procossing to described test pattern, to identify character string in described test pattern and to export as identification string, described ARM11 processor is connected with described image processor, for described identification string and described test character string are compared, to determine whether to send failure alarm signal.
More specifically, in described outdoor electrical energy meter fault automatic gauging terminal, described CCD high-definition camera is also for taking to export contour images to the profile of described detected electric energy meter, and the resolution of described test pattern and described contour images is all 1920 × 1080;
Further, described terminal also comprises:
Power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage;
Reset unit, for each electronic unit in described inspection terminal is returned to default conditions, the default conditions of each electronic unit described are the state that described inspection terminal manufacturer sets when described inspection terminal is dispatched from the factory;
Static memory, for prestoring the benchmark image template of the electric energy meter of various species, the benchmark image template of the electric energy meter of each kind is for taking obtained pattern in advance to the benchmark electric energy meter of each kind, described static memory has also prestored electric energy meter information table, described electric energy meter information table with electric energy meter kind for index, save the infrared communication address of each electric energy meter, test character string, character upper limit gray threshold and character lower limit gray threshold, described character upper limit gray threshold and described character lower limit gray threshold are for being separated the character on the display screen of kind electric energy meter corresponding in image with image background,
Alarm appliance, be connected with described ARM11 processor, comprise loudspeaker and warning LED, described loudspeaker warns file for playing the language corresponding with described failure alarm signal, described warning LED is used for showing redness when receiving described failure alarm signal, shows green when receiving non-fault cue;
Mist elimination haze treatment facility, between described CCD high-definition camera and described image processor, for receiving described test pattern and described contour images, mist elimination process is carried out respectively to obtain mist elimination test pattern and mist elimination contour images to described test pattern and described contour images, substitute described test pattern and described contour images, described mist elimination test pattern and mist elimination contour images are inputted described image processor.
Particularly, described mist elimination haze treatment facility comprises:
Haze Concentration Testing subset, is arranged in air, for detecting the haze concentration of detected electric energy meter position in real time, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1;
Overall air light value obtains subset, is connected to obtain described test pattern, calculates the gray-scale value of each pixel in described test pattern, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole with described CCD high-definition camera;
Atmospheric scattering light value obtains subset, be connected respectively with described CCD high-definition camera and described haze Concentration Testing subset, to each pixel of described test pattern, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF (edge-preservinggaussianfilter) at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel,
Medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel;
Sharpening Image Acquisition subset, with described CCD high-definition camera, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in described test pattern is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described test pattern, the pixel value of each pixel comprises the R of each pixel in described test pattern, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition mist elimination test pattern of all pixels.
More specifically, the described mist elimination haze treatment facility mist elimination processing mode of carrying out described contour images is identical with the mist elimination processing mode of carrying out described test pattern.
More specifically, described image processor is connected with described mist elimination haze treatment facility, comprise electric energy meter type identification unit, contrast strengthen unit, median filter unit, gray processing processing unit, Character segmentation unit and character recognition unit, described electric energy meter type identification unit is connected respectively with described mist elimination haze treatment facility and described static memory, described mist elimination contour images is mated one by one with the benchmark image template of the electric energy meter of described various species, electric energy meter type corresponding for the benchmark image template that the match is successful is outputted in described static memory preserve as determining electric energy meter type, described contrast strengthen unit is connected to carry out contrast enhancement processing to described mist elimination test pattern with described CCD high-definition camera, image is strengthened to obtain, described median filter unit is connected to carry out medium filtering process to described enhancing image with described contrast strengthen unit, to obtain filtering image, described gray processing processing unit is connected with described median filter unit, gray processing process is carried out to described filtering image, to obtain gray level image, described Character segmentation unit is connected respectively with described gray processing processing unit and described static memory, gray-scale value in described gray level image is formed multiple character subimage in the pixel identification determining character upper limit gray threshold and determined between character lower limit gray threshold, described character recognition unit is connected with described Character segmentation unit, character corresponding to each character subimage is identified based on predetermined OCR recognizer, and according to each character subimage position in described gray level image, the multiple characters identified are combined, to obtain described identification string.
More specifically, described ARM11 processor is connected respectively with the unit of described image processor, described static memory, described CCD high-definition camera and described infrared transceiver, first control described CCD high-definition camera and take described contour images, control described mist elimination haze treatment facility and mist elimination process carried out to described contour images, control described electric energy meter type identification unit identify described in determined electric energy meter type, subsequently, electric energy meter information table described in electric energy meter type search has been determined based on described in described static memory, infrared communication address corresponding to electric energy meter type has been determined described in obtaining, test character string, character upper limit gray threshold and character lower limit gray threshold respectively as determining infrared communication address, location survey examination character string, determine character upper limit gray threshold and determined character lower limit gray threshold to be saved in static memory, control described infrared transceiver to have the detected electric energy meter determining infrared communication address send comprise described in the test signal of location survey examination character string, so that described detected electric energy meter controls its display screen show the examination of the location survey character string that described test signal comprises.More specifically, described ARM11 processor controls described CCD high-definition camera shooting test pattern after Preset Time, control described mist elimination haze treatment facility and mist elimination process is carried out to described test pattern, and start described contrast strengthen unit, described median filter unit, described gray processing processing unit, described Character segmentation unit and described character recognition unit are to obtain described identification string, and the location survey preserved in described identification string and described static memory is tried character string match, the match is successful then sends non-fault cue, it fails to match then sends failure alarm signal.
More specifically, described detected electric energy meter receive comprise described in location survey examination character string test signal time, use its internal memory to preserve its current reading in real time, so that recover its current reading after test ending on its display screen.
More specifically, in described outdoor electrical energy meter fault automatic gauging terminal, described electric energy meter type identification unit, described contrast strengthen unit, described median filter unit, described gray processing processing unit, described Character segmentation unit and described character recognition unit adopt different fpga chips to realize respectively.
More specifically, in described outdoor electrical energy meter fault automatic gauging terminal, described inspection terminal also comprises bar code resolver, to detect the bar code that detected electric energy meter posts, obtains address name and the station address of corresponding detected electric energy meter ownership.
More specifically, in described outdoor electrical energy meter fault automatic gauging terminal, described inspection terminal also comprises wireless communication interface, be connected with described ARM11 processor and described bar code resolver, described address name and described station address to be wirelessly transmitted to when receiving described failure alarm signal the power supply management platform of far-end.
More specifically, in described outdoor electrical energy meter fault automatic gauging terminal, described inspection terminal also comprises shooting secondary light source, comprise luminance sensor and lighting source, described luminance sensor is used for testing environment brightness, described lighting source is connected with described luminance sensor, for adjusting illumination light intensity that it provides, that take for auxiliary CCD high-definition camera based on described ambient brightness.
Outdoor electrical energy meter fault self-verifying method of the present invention, adopt the type of image processing techniques determination electric energy meter, according to the parameters that the type determination electric energy meter display defect of electric energy meter detects, adopt Infrared Transmission mode to realize electric energy meter and check the information interaction between terminal, improve versatility and the intelligence degree of electric energy meter defects detection, more crucially, according to atmospheric attenuation model determination haze to the influence factor of image, and the process of mist elimination haze is carried out to the electric energy meter test pattern gathered under foggy days, obtain electric energy meter test pattern clearly, thus ensure the accuracy that outdoor electrical energy meter fault is checked.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of an embodiment of the outdoor electrical energy meter fault automatic gauging terminal implementing outdoor electrical energy meter fault self-verifying method of the present invention.
Fig. 2 is the block diagram of another embodiment of the outdoor electrical energy meter fault automatic gauging terminal implementing outdoor electrical energy meter fault self-verifying method of the present invention.
Fig. 3 is the block diagram of the mist elimination haze treatment facility of the outdoor electrical energy meter fault automatic gauging terminal illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of outdoor electrical energy meter fault self-verifying method of the present invention is described in detail.
Being widely used of electric energy meter; be the most basic measuring terminal of power supply management division management user power utilization, each electricity consumption user needs installation electric energy meter with its electricity consumption amount of real time measure, thus; the demand of electric energy meter is large especially, and the market of electric energy meter is also very active.
Electric energy meter common on Vehicles Collected from Market can have following several mode classification: (1) is by purposes: industry and utility meters, electronic standard table, maximum demand meter, multi tariff table; (2) by structure and principle of work: induction type (mechanical type), state type (electronic type), electromechanical (hybrid); (3) by access power supply natures: alternating-current meter, direct current table; (4) by class of accuracy: conventional common table: 0.2S, 0.5S, 0.2,0.5,1.0,2.0 etc.; (5) by installing the mode of connection: direct access, indirectly access type; (6) by consumer: single-phase, phase three-wire three, three-phase and four-line electric energy meter.
There is query when the reading of user to electric energy meter display screen and report for repairment, or the power supply management department personnel that arrange work are when carrying out daily servicing to its electric energy meter managed, all need to use electric energy meter fault detection terminal to check electric energy meter, due to electric energy meter enormous amount, therefore the detection efficiency of electric energy meter fault detection terminal, accuracy and cost performance all require harshness, more especially near the detection of the outdoor electric energy meter of high-tension line, be limited by installation environment, it is higher to the requirement of syndrome check.Existing manual detection mode or simple detection of electrons mode can not meet the current demand of power supply management department.
The present invention establishes a kind of outdoor electrical energy meter fault self-verifying method, build a kind of outdoor electrical energy meter fault automatic gauging terminal, first electric energy meter type is judged based on image recognition technology, to take differentiated display defect recognition technology based on dissimilar electric energy meter, the introducing of infrared communication technique and various character recognition technologies targetedly simultaneously, accurately reliably complete the detection to electric energy meter display defect, finally, adding of mist elimination haze treatment facility, overcome the adverse effect of inclement weather to outdoor electric energy meter test pattern.
Fig. 1 is the block diagram of an embodiment of the outdoor electrical energy meter fault automatic gauging terminal implementing outdoor electrical energy meter fault self-verifying method of the present invention, described inspection terminal comprises infrared transceiver 1, CCD high-definition camera 2, image processor 3 and ARM11 processor 4, described infrared transceiver 1 is for sending test massage to detected electric energy meter, so that described detected electric energy meter controls its display screen show the test character string that described test signal comprises, described CCD high-definition camera 2 is for taking to export test pattern to the display screen of described detected electric energy meter, described image processor 3 is connected with described CCD high-definition camera 2, for carrying out image procossing to described test pattern, to identify character string in described test pattern and to export as identification string, described ARM11 processor 4 is connected with described image processor 3, for described identification string and described test character string are compared, to determine whether to send failure alarm signal.Described ARM11 processor 4 is also connected to realize the control to them with infrared transceiver 1, CCD high-definition camera 2 respectively.
Found out by Fig. 2, compared to Figure 1, mist elimination haze treatment facility 5 is added than Fig. 1, mist elimination haze treatment facility 5 is between described CCD high-definition camera 2 and described image processor 3, for receiving described test pattern and described contour images, mist elimination process is carried out respectively to obtain mist elimination test pattern and mist elimination contour images to described test pattern and described contour images, substitute described test pattern and described contour images, described mist elimination test pattern and mist elimination contour images are inputted described image processor 3.
Then, with reference to Fig. 2, the concrete structure of an embodiment of the outdoor electrical energy meter fault automatic gauging terminal of enforcement outdoor electrical energy meter fault self-verifying method of the present invention is further detailed.
Described inspection terminal also comprises: power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage.
Described inspection terminal also comprises: reset unit, and for each electronic unit in described inspection terminal is returned to default conditions, the default conditions of each electronic unit described are the state that described inspection terminal manufacturer sets when described inspection terminal is dispatched from the factory.
Described inspection terminal also comprises: static memory, for prestoring the benchmark image template of the electric energy meter of various species, the benchmark image template of the electric energy meter of each kind is for taking obtained pattern in advance to the benchmark electric energy meter of each kind, described static memory has also prestored electric energy meter information table, described electric energy meter information table with electric energy meter kind for index, save the infrared communication address of each electric energy meter, test character string, character upper limit gray threshold and character lower limit gray threshold, described character upper limit gray threshold and described character lower limit gray threshold are for being separated the character on the display screen of kind electric energy meter corresponding in image with image background.
Described inspection terminal also comprises: alarm appliance, be connected with described ARM11 processor 4, comprise loudspeaker and warning LED, described loudspeaker warns file for playing the language corresponding with described failure alarm signal, described warning LED is used for showing redness when receiving described failure alarm signal, shows green when receiving non-fault cue.
Described CCD high-definition camera 2 is for taking to export test pattern to the display screen of described detected electric energy meter, also for taking to export contour images to the profile of described detected electric energy meter, the resolution of described test pattern and described contour images is all 1920 × 1080.
Described inspection terminal also comprises: mist elimination haze treatment facility 5, between described CCD high-definition camera 2 and described image processor 3, for receiving described test pattern and described contour images, mist elimination process is carried out respectively to obtain mist elimination test pattern and mist elimination contour images to described test pattern and described contour images, substitute described test pattern and described contour images, described mist elimination test pattern and mist elimination contour images are inputted described image processor 3.
As shown in Figure 3, the parts of described mist elimination haze treatment facility 5 are described.
Described mist elimination haze treatment facility 5 comprises: haze Concentration Testing subset 51, be arranged in air, for detecting the haze concentration of detected electric energy meter position in real time, and remove intensity according to haze concentration determination haze, described haze removes intensity value between 0 to 1.
Described mist elimination haze treatment facility 5 comprises: overall air light value obtains subset 52, be connected to obtain described test pattern with described CCD high-definition camera 2, calculate the gray-scale value of each pixel in described test pattern, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole.
Described mist elimination haze treatment facility 5 comprises: atmospheric scattering light value obtains subset 53, be connected respectively with described CCD high-definition camera 2 and described haze Concentration Testing subset 51, to each pixel of described test pattern, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF (edge-preservinggaussianfilter) at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel.
Described mist elimination haze treatment facility 5 comprises: medium transmission rate obtains subset 54, obtain subset 52 and described atmospheric scattering light value with described overall air light value to obtain subset 53 and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel.
Described mist elimination haze treatment facility 5 comprises: sharpening Image Acquisition subset 55, with described CCD high-definition camera 2, described overall air light value obtains subset 52 and is connected respectively with described medium transmission rate acquisition subset 54, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in described test pattern is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described test pattern, the pixel value of each pixel comprises the R of each pixel in described test pattern, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition mist elimination test pattern of all pixels.
The mist elimination processing mode that described mist elimination haze treatment facility 5 carries out described contour images is identical with the mist elimination processing mode of carrying out described test pattern.
Described image processor 3 is connected with described mist elimination haze treatment facility 5, comprises electric energy meter type identification unit, contrast strengthen unit, median filter unit, gray processing processing unit, Character segmentation unit and character recognition unit.
Described electric energy meter type identification unit is connected respectively with described mist elimination haze treatment facility 5 and described static memory, described mist elimination contour images is mated one by one with the benchmark image template of the electric energy meter of described various species, electric energy meter type corresponding for the benchmark image template that the match is successful is outputted in described static memory preserve as determining electric energy meter type.
Described contrast strengthen unit is connected to carry out contrast enhancement processing to described mist elimination test pattern with described CCD high-definition camera, to obtain enhancing image.
Described median filter unit is connected to carry out medium filtering process, to obtain filtering image to described enhancing image with described contrast strengthen unit.
Described gray processing processing unit is connected with described median filter unit, carries out gray processing process to described filtering image, to obtain gray level image.
Described Character segmentation unit is connected respectively with described gray processing processing unit and described static memory, and gray-scale value in described gray level image is formed multiple character subimage in the pixel identification determining character upper limit gray threshold and determined between character lower limit gray threshold.
Described character recognition unit is connected with described Character segmentation unit, character corresponding to each character subimage is identified based on predetermined OCR recognizer, and the multiple characters identified are combined, to obtain described identification string according to each character subimage position in described gray level image.
The unit of described ARM11 processor 4 and described image processor 3, described static memory, described CCD high-definition camera 2 is connected respectively with described infrared transceiver 1, first control described CCD high-definition camera 2 and take described contour images, control described mist elimination haze treatment facility 5 and mist elimination process is carried out to described contour images, control described electric energy meter type identification unit identify described in determined electric energy meter type, subsequently, electric energy meter information table described in electric energy meter type search has been determined based on described in described static memory, infrared communication address corresponding to electric energy meter type has been determined described in obtaining, test character string, character upper limit gray threshold and character lower limit gray threshold respectively as determining infrared communication address, location survey examination character string, determine character upper limit gray threshold and determined character lower limit gray threshold to be saved in static memory, control described infrared transceiver 1 to have the detected electric energy meter determining infrared communication address send comprise described in the test signal of location survey examination character string, so that described detected electric energy meter controls its display screen show the examination of the location survey character string that described test signal comprises.
Described ARM11 processor 4 controls described CCD high-definition camera 2 and takes test pattern after Preset Time, control described mist elimination haze treatment facility 5 and mist elimination process is carried out to described test pattern, and start described contrast strengthen unit, described median filter unit, described gray processing processing unit, described Character segmentation unit and described character recognition unit are to obtain described identification string, and the location survey preserved in described identification string and described static memory is tried character string match, the match is successful then sends non-fault cue, it fails to match then sends failure alarm signal.
Wherein, described detected electric energy meter receive comprise described in location survey examination character string test signal time, use its internal memory to preserve its current reading in real time, so that recover its current reading after test ending on its display screen.
Wherein, in described inspection terminal, alternatively, described electric energy meter type identification unit, described contrast strengthen unit, described median filter unit, described gray processing processing unit, described Character segmentation unit and described character recognition unit adopt different fpga chips to realize respectively.
Wherein, in described inspection terminal, alternatively, described inspection terminal can also comprise: bar code resolver, to detect the bar code that detected electric energy meter posts, obtains address name and the station address of corresponding detected electric energy meter ownership; Wireless communication interface, is connected with described ARM11 processor 4 and described bar code resolver, described address name and described station address to be wirelessly transmitted to when receiving described failure alarm signal the power supply management platform of far-end; Shooting secondary light source, comprise luminance sensor and lighting source, described luminance sensor is used for testing environment brightness, and described lighting source is connected with described luminance sensor, for adjusting illumination light intensity that it provides, that take for auxiliary CCD high-definition camera 2 based on described ambient brightness.
In addition, haze image can realize the mist elimination haze of image by a series of images treatment facility, to obtain the image of sharpening, improves the visibility of image.These image processing equipments perform different image processing functions respectively, based on the principle that haze is formed, reach the effect removing haze.The sharpening process of haze image 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 is formed can be described by atmospheric attenuation process, relation between haze image and real image and sharpening image can be stated by the medium transmission rate of overall air light value and each pixel, namely when known haze image, according to the medium transmission rate of overall air light value with each pixel, sharpening image can be solved.
There are some effective and through verifying means in the solving of medium transmission rate for overall air light value and each pixel, such as, for the medium transmission rate of each pixel, need the atmospheric scattering light value obtaining overall air light value and each pixel, and the atmospheric scattering light value of each pixel can obtain carrying out the Gaussian smoothing filter at twice maintenance edge to the pixel value of each pixel in haze image, therebetween, the intensity of haze removal is adjustable; And the acquisition pattern of overall air light value has two kinds, a kind of mode is, black channel by obtaining haze image (namely makes the black channel value of some pixels very low in haze image, black channel is R, G, one in B tri-Color Channel), in haze image, obtain by finding the maximum pixel of gray-scale value in multiple pixels that searching black channel pixel value is bigger than normal, be about to the gray-scale value air light value as a whole of that search out, that gray-scale value is maximum pixel, participate in the sharpening process of each pixel in haze image; In addition, overall air light value is also by obtaining with under type: the gray-scale value calculating each pixel in haze image, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole.
Relation between concrete haze image and real image and sharpening image, and the relation between parameters can see above content.
By the discussion to haze image formation basic theory, build the relation between haze image and sharpening image, by this relation of multiple Parametric Representation, subsequently by the multiple parameter values that obtain and haze image and the higher image of reducible acquisition sharpness, some statistical means and empirical means have been used in acquisition due to parameter, therefore the image that described sharpness 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, infrared communication is a kind of communication mode utilizing infrared transmission information, can be used for the information such as transmission language, word, data, image.The angle of infrared transmission has a definite limitation, and infrared wavelength range is 0.70 μm of-1mm, and wherein the ripple in 300 μm of-1mm regions is also referred to as submillimeter wave.Air on infrared radiation transmission mainly affect absorption and scattering.
Infrared communication utilizes the infrared ray of 950nm near-infrared band as the media of transmission of information, i.e. communication channel.Base band binary signal is modulated to a series of burst signal by transmitting terminal, launches infrared signal by infrared transmitting tube.Receiving end converts the light arteries and veins received to electric signal, then after the process such as amplification, filtering, gives demodulator circuit carry out demodulation, exports after being reduced to binary digital signal.Conventional have realize the width modulation (PWM) of signal madulation by pulse width and realized pulse-time modulation (PPM) two kinds of methods of signal madulation by the time interval between train of impulses.
Infrared-ray communication technology comprises following specification: IrPHY, IrLAP, IrLMP, IrCOMM, TinyTP, IrOBEX, IrLAN and IrSimple.
Adopt outdoor electrical energy meter fault automatic gauging terminal of the present invention, low for existing outdoor electric energy meter defect detecting technique detection efficiency, detection difficulty is large and cannot overcome the technical matters of adverse weather conditions, first the type of detected electric energy meter is identified, then different inspection policies is determined according to electric energy meter type, wherein use infrared communication technique to ensure detected electric energy meter and check the information interaction between terminal, finally remove haze weather to the impact of electric energy meter test pattern, thus the non-broken string realized all kinds of outdoor electric energy meter display defect, high-precision quick test.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (1)
1. an outdoor electrical energy meter fault self-verifying method, it comprises: utilize infrared transceiver to send test massage to detected electric energy meter, so that described detected electric energy meter controls its display screen show the test character string that described test signal comprises; The display screen of CCD high-definition camera to described detected electric energy meter is utilized to take to export test pattern; Image processor is utilized to carry out image procossing to described test pattern, to identify character string in described test pattern and to export as identification string; ARM11 processor is utilized to compare, described identification string and described test character string to determine whether to send failure alarm signal;
Described CCD high-definition camera is also taken to export contour images to the profile of described detected electric energy meter, and the resolution of described test pattern and described contour images is all 1920 × 1080;
Comprise further and mist elimination process is carried out respectively to obtain the step of mist elimination test pattern and mist elimination contour images to described test pattern and described contour images;
The method utilizes to comprise infrared transceiver, CCD high-definition camera, the outdoor electrical energy meter fault automatic gauging terminal of image processor and ARM11 processor is implemented, wherein said infrared transceiver is used for sending test massage to detected electric energy meter, so that described detected electric energy meter controls its display screen show the test character string that described test signal comprises, described CCD high-definition camera is used for taking to export test pattern to the display screen of described detected electric energy meter, described image processor is connected with described CCD high-definition camera, for carrying out image procossing to described test pattern, to identify character string in described test pattern and to export as identification string, described ARM11 processor is connected with described image processor, for described identification string and described test character string are compared, to determine whether to send failure alarm signal,
Described CCD high-definition camera is also taken to export contour images to the profile of described detected electric energy meter;
Described inspection terminal also comprises:
Power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage;
Reset unit, for each electronic unit in described inspection terminal is returned to default conditions, the default conditions of each electronic unit described are the state that described inspection terminal manufacturer sets when described inspection terminal is dispatched from the factory;
Static memory, for prestoring the benchmark image template of the electric energy meter of various species, the benchmark image template of the electric energy meter of each kind is for taking obtained pattern in advance to the benchmark electric energy meter of each kind, described static memory has also prestored electric energy meter information table, described electric energy meter information table with electric energy meter kind for index, save the infrared communication address of each electric energy meter, test character string, character upper limit gray threshold and character lower limit gray threshold, described character upper limit gray threshold and described character lower limit gray threshold are for being separated the character on the display screen of kind electric energy meter corresponding in image with image background,
Alarm appliance, be connected with described ARM11 processor, comprise loudspeaker and warning LED, described loudspeaker warns file for playing the language corresponding with described failure alarm signal, described warning LED is used for showing redness when receiving described failure alarm signal, shows green when receiving non-fault cue;
Mist elimination haze treatment facility, between described CCD high-definition camera and described image processor, for receiving described test pattern and described contour images, mist elimination process is carried out respectively to obtain mist elimination test pattern and mist elimination contour images to described test pattern and described contour images, substitute described test pattern and described contour images, described mist elimination test pattern and mist elimination contour images are inputted described image processor;
Described mist elimination haze treatment facility comprises:
Haze Concentration Testing subset, is arranged in air, for detecting the haze concentration of detected electric energy meter position in real time, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1;
Overall air light value obtains subset, is connected to obtain described test pattern, calculates the gray-scale value of each pixel in described test pattern, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole with described CCD high-definition camera;
Atmospheric scattering light value obtains subset, be connected respectively with described CCD high-definition camera and described haze Concentration Testing subset, to each pixel of described test pattern, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel,
Medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel;
Sharpening Image Acquisition subset, with described CCD high-definition camera, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in described test pattern is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described test pattern, the pixel value of each pixel comprises the R of each pixel in described test pattern, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition mist elimination test pattern of all pixels,
Described image processor is connected with described mist elimination haze treatment facility, comprise electric energy meter type identification unit, contrast strengthen unit, median filter unit, gray processing processing unit, Character segmentation unit and character recognition unit, described electric energy meter type identification unit is connected respectively with described mist elimination haze treatment facility and described static memory, described mist elimination contour images is mated one by one with the benchmark image template of the electric energy meter of described various species, electric energy meter type corresponding for the benchmark image template that the match is successful is outputted in described static memory preserve as determining electric energy meter type, described contrast strengthen unit is connected to carry out contrast enhancement processing to described mist elimination test pattern with described CCD high-definition camera, image is strengthened to obtain, described median filter unit is connected to carry out medium filtering process to described enhancing image with described contrast strengthen unit, to obtain filtering image, described gray processing processing unit is connected with described median filter unit, gray processing process is carried out to described filtering image, to obtain gray level image, described Character segmentation unit is connected respectively with described gray processing processing unit and described static memory, gray-scale value in described gray level image is formed multiple character subimage in the pixel identification determining character upper limit gray threshold and determined between character lower limit gray threshold, described character recognition unit is connected with described Character segmentation unit, character corresponding to each character subimage is identified based on predetermined OCR recognizer, and according to each character subimage position in described gray level image, the multiple characters identified are combined, to obtain described identification string,
The unit of described ARM11 processor and described image processor, described static memory, described CCD high-definition camera is connected respectively with described infrared transceiver, first control described CCD high-definition camera and take described contour images, control described mist elimination haze treatment facility and mist elimination process is carried out to described contour images, control described electric energy meter type identification unit identify described in determined electric energy meter type, subsequently, electric energy meter information table described in electric energy meter type search has been determined based on described in described static memory, infrared communication address corresponding to electric energy meter type has been determined described in obtaining, test character string, character upper limit gray threshold and character lower limit gray threshold respectively as determining infrared communication address, location survey examination character string, determine character upper limit gray threshold and determined character lower limit gray threshold to be saved in static memory, control described infrared transceiver to have the detected electric energy meter determining infrared communication address send comprise described in the test signal of location survey examination character string, so that described detected electric energy meter controls its display screen show the examination of the location survey character string that described test signal comprises, described ARM11 processor controls described CCD high-definition camera shooting test pattern after Preset Time, control described mist elimination haze treatment facility and mist elimination process is carried out to described test pattern, and start described contrast strengthen unit, described median filter unit, described gray processing processing unit, described Character segmentation unit and described character recognition unit are to obtain described identification string, and the location survey preserved in described identification string and described static memory is tried character string match, the match is successful then sends non-fault cue, it fails to match then sends failure alarm signal,
Described inspection terminal also comprises bar code resolver, to detect the bar code that detected electric energy meter posts, obtains address name and the station address of corresponding detected electric energy meter ownership.
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| CN201510152737.XA CN104698427B (en) | 2015-04-01 | 2015-04-01 | Automatic checking method for faults of outdoor electric energy meter |
| CN201510649244.7A CN105242232B (en) | 2015-04-01 | 2015-04-01 | Outdoor electrical energy meter fault self-verifying method |
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| CN201510649244.7A Expired - Fee Related CN105242232B (en) | 2015-04-01 | 2015-04-01 | Outdoor electrical energy meter fault self-verifying method |
| CN201510570512.6A Active CN105137387B (en) | 2015-04-01 | 2015-04-01 | Outdoor electrical energy meter fault self-verifying method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111123190A (en) * | 2020-01-03 | 2020-05-08 | 余秀枝 | Ammeter detection configuration device and method |
| CN117095389A (en) * | 2023-10-19 | 2023-11-21 | 南京电力自动化设备三厂有限公司 | Image data processing method and system based on liquid crystal visual recognition unit |
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| CN105182275B (en) * | 2015-04-01 | 2017-09-12 | 宁波市惠力诚仪表有限公司 | Outdoor electrical energy meter fault self-verifying method |
| TWI643060B (en) * | 2017-04-21 | 2018-12-01 | 精英電腦股份有限公司 | Automatic image monitoring method |
| CN107255874A (en) * | 2017-08-10 | 2017-10-17 | 国网重庆市电力公司电力科学研究院 | A kind of electric energy meter liquid-crystal apparatus fault detection method and system |
| CN108282639A (en) * | 2018-03-10 | 2018-07-13 | 嘉兴融通建筑装饰有限公司 | SG-TMS systems auxiliary monitoring system and its monitoring method |
| CN108627794B (en) * | 2018-06-27 | 2020-09-29 | 方汝松 | Intelligent instrument detection method based on deep learning |
| CN110460782B (en) * | 2019-08-28 | 2021-07-20 | 北京海益同展信息科技有限公司 | Information acquisition device, method, inspection robot and storage medium |
| CN110991522A (en) * | 2019-11-29 | 2020-04-10 | 山东万腾电子科技有限公司 | Character recognition method and system and industrial intelligent gateway |
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| CN105182275A (en) | 2015-12-23 |
| CN105182274B (en) | 2017-09-15 |
| CN105182274A (en) | 2015-12-23 |
| CN105242232B (en) | 2016-08-24 |
| CN105137387B (en) | 2017-08-04 |
| CN104698427A (en) | 2015-06-10 |
| CN104698427B (en) | 2017-05-24 |
| CN105182275B (en) | 2017-09-12 |
| CN105137387A (en) | 2015-12-09 |
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