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CN104714068B - Robot to outdoor electric energy meter meter reading - Google Patents

Robot to outdoor electric energy meter meter reading Download PDF

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Publication number
CN104714068B
CN104714068B CN201510153366.7A CN201510153366A CN104714068B CN 104714068 B CN104714068 B CN 104714068B CN 201510153366 A CN201510153366 A CN 201510153366A CN 104714068 B CN104714068 B CN 104714068B
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China
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electric energy
energy meter
value
image
pixel
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CN104714068A (en
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李可
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HARBIN HUIXIN INSTRUMENT CO., LTD.
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HARBIN HUIXIN INSTRUMENT Co Ltd
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Priority to CN201510153366.7A priority Critical patent/CN104714068B/en
Priority to CN201610272916.1A priority patent/CN105974169A/en
Priority to CN201610272829.6A priority patent/CN105785088B/en
Priority to CN201610272830.9A priority patent/CN105974168A/en
Publication of CN104714068A publication Critical patent/CN104714068A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R11/00Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/20Scenes; Scene-specific elements in augmented reality scenes

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)
  • Image Processing (AREA)

Abstract

The present invention relates to a kind of robot to outdoor electric energy meter meter reading, including the Big Dipper omniselector, portable hard drive, CMOS vision sensor, Recognition of Reading device and master controller, portable hard drive is used for prestoring all kinds of electric energy meter template, and for prestoring the maximum scale of each class electric energy meter template, minimum scale and pointer model, CMOS vision sensor is used for shooting electric energy meter image, Recognition of Reading device is connected with CMOS vision sensor electric energy meter image is performed image procossing, master controller is connected with the Big Dipper omniselector to control the advanced positions of robot, also it is connected respectively with portable hard drive and Recognition of Reading device, for controlling the automatic meter reading of robot.The present invention also enhances sharpening processor, for performing to go haze to process to electric energy meter image.By the present invention, even if under haze weather, it is also possible to control robot and accurately arrive target meter reading position, and realize the high accuracy meter reading to various outdoor electric energy meters.

Description

Robot to outdoor electric energy meter meter reading
Technical field
The present invention relates to electric energy meter monitoring field, particularly relate to a kind of machine to outdoor electric energy meter meter reading People.
Background technology
Being widely used of electric energy meter, is power supply department charge and the important references number of allotment electric power resource According to, each is required for installing oneself a electric energy meter with electric unit or individual and monitors the use of oneself Power consumption.
It is positioned at and there is the meter reading with the electric energy meter of electric unit of high-tension line is always a difficult problem, due to These electric energy meters are near high-tension line, it is impossible to arrangement personnel use the meter reading of manual patrol, hand-kept Pattern, and these electric energy meters are usually located at outdoor, if using electronics meter reading pattern to carry out at a distance Meter reading, it is necessary to there are some image processing equipments, it is possible to overcome the haze weather impact on meter reading image, Otherwise, the meter reading data precision obtained is the lowest.
After the meter reading scheme of the electric energy meter of high voltage electric unit of the prior art or employing power-off Manual read's table schema, this mode disturbs and works with the normal of electric unit, or uses based on image The remote electronic pattern processed, this mode depends on the readability of electric energy meter image, sternly Under weight haze weather, electric energy meter image is clear not, correspondingly, and the electric energy meter reading accuracy of reading Poor, affect the regular fee work of power supply department.
Accordingly, it would be desirable to a kind of new technical scheme to outdoor electric energy meter meter reading, it is possible to alternative cost is high Artificial meter reading mode, and transform existing remote electronics meter reading mode to high voltage electric list Position outdoor electric energy meter meter reading operation highly efficient and real-time, it is thus achieved that meter reading data not by weather Impact.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of robot to outdoor electric energy meter meter reading, Introduce far-end remote control commands and the robot traveling control model of near-end speech control instruction combination, First pass through robot described in the remote control commands coarse adjustment of Remote feeding management platform and advance to target reading Epi-position is put, then by the phonetic control command of near-end site administrator for machine People's Bank of China described in fine tuning Enter target meter reading position, improve the automaticity of meter reading, prestore all kinds of electric energy meter mould simultaneously Plate and maximum scale, minimum scale and the pointer model of each class electric energy meter template, to improve meter reading Accuracy, finally, the introducing of sharpening processor overcomes the haze weather unfavorable shadow to meter reading data Ring.
According to an aspect of the present invention, it is provided that a kind of robot to outdoor electric energy meter meter reading, described Robot include the Big Dipper omniselector, portable hard drive, CMOS vision sensor, Recognition of Reading device and Master controller, described portable hard drive is used for prestoring all kinds of electric energy meter template, and for depositing in advance Store up maximum scale, minimum scale and the pointer model of each class electric energy meter template, described CMOS vision Sensor is used for shooting electric energy meter image, and described Recognition of Reading device is with described CMOS vision sensor even Connect described electric energy meter image performs image procossing, described master controller and described the Big Dipper omniselector Connect to control the advanced positions of described robot, also with described portable hard drive and described Recognition of Reading device Connect respectively, for controlling the automatic meter reading of described robot.
More specifically, in the described robot to outdoor electric energy meter meter reading, also include: power supply, Including solar powered device, accumulator, switching switch and electric pressure converter, described switching switch with Described solar powered device and described accumulator connect respectively, according to the decision of accumulator dump energy are No being switched to described solar powered device to be powered by described solar powered device, described voltage turns Parallel operation is connected with described switching switch, will be converted to 3.3V by the 5V voltage of switching switch input Voltage;Speech recognition device, for being converted to the signal of telecommunication, and based on institute by the voice of site administrator State the signal of telecommunication and generate phonetic control command;Wireless communication interface, wireless with the power supply management platform of far-end Connecting, with wireless receiving remote control commands, described remote control commands includes the Big Dipper control instruction; Robot driving mechanism, is connected with described master controller, is used under the control of described master controller, The behavior act of described robot, described behavior act is driven to include advancing, retreat, turn to and crossing over; Sharpening processor, between described CMOS vision sensor and described Recognition of Reading device, is used for Receive described electric energy meter image, described electric energy meter image goes haze process and removes haze electricity to obtain Energy table image, goes haze electric energy meter image to input described Recognition of Reading device to replace described electric energy by described Table image is by image procossing;Described sharpening processor also includes: storage subset, for depositing in advance Storage sky upper limit gray threshold and sky lower limit gray threshold, described sky upper limit gray threshold and described Sky lower limit gray threshold, for isolating the sky areas in image, is additionally operable to prestore default picture Element value threshold value, described presetted pixel value threshold value value is between 0 to 255;Haze Concentration Testing sets Standby, it is positioned in air, for the haze concentration of detection electric energy meter position in real time, and according to haze Concentration determines that intensity removed by haze, and described haze removes intensity value between 0 to 1;Region divides Subset, connects described CMOS vision sensor to receive described electric energy meter image, to described electric energy Table image carries out gray processing and processes to obtain gray processing electric energy meter image, is also connected with storage subset, By gray value in described gray processing electric energy meter image at described sky upper limit gray threshold and described sky Pixel identification between lower limit gray threshold also forms gray processing sky sub pattern, from described gray processing electricity Described gray processing sky sub pattern can be partitioned into obtain gray processing non-sky subimage by table image, based on Described gray processing non-sky subimage position in described electric energy meter image obtains and described gray processing The colour non-sky subimage that non-sky subimage is corresponding;Black channel obtains subset, with described district Territory divides subset and connects to obtain described colour non-sky subimage, for described colour non-sky gap Each pixel in image, calculates its R, G, B tri-Color Channel pixel value, non-at described colour The R of all pixels in sky subimage, G, B tri-extract a numerical value in Color Channel pixel value The Color Channel at little Color Channel pixel value place is as black channel;Overall air light value obtains son Equipment, is connected to obtain described presetted pixel value threshold value with storage subset, also divides with described region Subset and described black channel obtain subset and connect respectively to obtain described electric energy meter image and institute State black channel, by black channel pixel value in described electric energy meter image more than or equal to presetted pixel value threshold Multiple pixels of value form set of pixels to be tested, will have maximum gradation value in described set of pixels to be tested The gray value of pixel as overall air light value;Atmospheric scattering light value obtains subset, with described district Territory divides subset and described haze Concentration Testing subset connects, respectively to described electric energy meter image Each pixel, extracts its R, G, B tri-in Color Channel pixel value minima as object pixel Value, uses the Gaussian filter EPGF (edge-preserving gaussian filter) keeping edge It is filtered described target pixel value processing to obtain filtered target pixel value, target pixel value is subtracted Go filtered target pixel value to obtain object pixel difference, use EPGF that object pixel difference is carried out Filtered target pixel value, to obtain filtered target pixel value difference, is deducted filtered target pixel by Filtering Processing Difference removes reference value to obtain haze, haze is removed intensity and is multiplied by haze removal reference value to obtain Threshold value removed by haze, takes haze and removes the minima in threshold value and target pixel value as comparison reference Value, takes the atmospheric scattering light value as each pixel of the maximum in comparison reference and 0;Medium Transfer rate obtains subset, obtains subset and described atmospheric scattering light value with described overall air light value Obtain subset to connect respectively, by the atmospheric scattering light value of each pixel divided by overall air light value with Obtain except value, deduct 1 described except value is to obtain the medium transmission rate of each pixel;Sharpening figure As obtaining subset, divide subset with described region, described overall air light value obtains subset and Described medium transmission rate obtains subset and connects respectively, deducts the medium transmission rate of each pixel by 1 To obtain the first difference, described first difference is multiplied by overall air light value to obtain product value, by institute State the pixel value of each pixel in electric energy meter image and deduct described product value to obtain the second difference, will Described second difference divided by the medium transmission rate of each pixel to obtain the sharpening of each pixel Pixel value, every during in described electric energy meter image, the pixel value of each pixel includes described electric energy meter image The R of one pixel, G, B tri-Color Channel pixel value, correspondingly, it is thus achieved that each pixel Sharpening pixel value includes the R of each pixel, G, B tri-Color Channel sharpening pixel value, institute Haze electric energy meter image is formed by the sharpening pixel value of pixel;Described the Big Dipper omniselector is used for connecing Receipts the Big Dipper aeronautical satellite is provided, current the Big Dipper data of described robot;Described portable hard drive It is additionally operable to store electric energy meter upper limit gray threshold and electric energy meter lower limit gray threshold, the described electric energy meter upper limit Gray threshold and described electric energy meter lower limit gray threshold are for by the electric energy meter dial plate in image and background Separate;Described Recognition of Reading device also include median filter unit, pretreatment unit, object-recognition unit, Template matching unit and pointer position determine that unit, described median filter unit process with described sharpening Equipment 6 connects, for described go haze electric energy meter image filtering to export filtering image, described pre- Processing unit is connected with described median filter unit, for described filtering image is carried out gray processing process With output gray level image, described object-recognition unit and described pretreatment unit and described portable hard drive Connect respectively, by gray value in described gray level image at described electric energy meter upper limit gray threshold and described Pixel identification between electric energy meter lower limit gray threshold also forms electric energy meter plate image, described template Matching unit is connected respectively with described object-recognition unit and described portable hard drive, based on described electric energy meter The target electricity of dial plate subimage match query in all kinds of electric energy meter templates that described portable hard drive stores Energy table template, provides maximum scale, minimum scale and the pointer model of described target electric energy meter template, Described pointer position determines that unit connects respectively with described object-recognition unit and described template matching unit Connect, based in electric energy meter plate image described in described electric energy meter plate image recognition with described pointer The gauge pointer of Model Matching, calculates the pointer angle of gauge pointer and the horizontal direction recognized, point Do not calculate described maximum scale and described minimum scale and the maximum scale angle of horizontal direction and minimum Scale angle, according to pointer angle value bit between maximum scale angle and minimum scale angle Put, determine outdoor electric energy meter reading;Described master controller and institute's speech recognizer, described channel radio Communication interface, described robot driving mechanism, described the Big Dipper omniselector, described portable hard drive and described Recognition of Reading device connects respectively, controls institute according to described phonetic control command or described remote control commands Stating robot driving mechanism, described master controller receives the outdoor electric energy meter that described Recognition of Reading device sends Reading, and described outdoor electric energy meter reading is forwarded to described for fulgurite by described wireless communication interface Platform, the data storage of portable hard drive described in described main controller controls, described remote control commands Advancing to target meter reading position for robot described in coarse adjustment, described phonetic control command is used for fine tuning institute State robot and advance to target meter reading position;Wherein, for fulgurite described in described master controller wireless receiving The Big Dipper control instruction in the remote control commands that platform sends, described the Big Dipper control instruction bag Including target the Big Dipper data, robot driving mechanism described in described main controller controls advances to described north The position of target the Big Dipper data described in current the Big Dipper Data Matching that bucket star omniselector sends.
More specifically, in the described robot to outdoor electric energy meter meter reading, described master controller is connecing The described power supply management platform receiving the forwarding of described wireless communication interface has successfully received outdoor electric energy meter reading During the return instruction counted, control the relay indicating light of described robot by predetermined time of preset frequency flicker Number, to point out site administrator.
More specifically, in the described robot to outdoor electric energy meter meter reading, institute's speech recognizer bag Including sound sensor unit and voice recognition chip, described sound sensor unit is for by site administrator Voice is converted to the signal of telecommunication, and described voice recognition chip connects described sound sensor unit, for based on The described signal of telecommunication generates phonetic control command.
More specifically, in the described robot to outdoor electric energy meter meter reading, described voice recognition chip Use the LD3320 chip of ICRoute company.
More specifically, in the described robot to outdoor electric energy meter meter reading, described median filter unit, Described pretreatment unit, described object-recognition unit, described template matching unit and described pointer position Determine that unit is respectively adopted different fpga chips and realizes.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the present invention block diagram to an embodiment of the robot of outdoor electric energy meter meter reading.
Fig. 2 is the present invention structure square frame to the another embodiment of the robot of outdoor electric energy meter meter reading Figure.
Detailed description of the invention
Embodiment to the robot to outdoor electric energy meter meter reading of the present invention below with reference to accompanying drawings It is described in detail.
Along with the development of robotics Yu artificial intelligence technology, outdoor movable robot is used to replace Manually carry out equipment operation to be possibly realized.
Robot belongs to electric power specialized robot research category, and he collects electromechanical integration, multisensor melts Conjunction, navigator fix, path planning, machine vision, Based Intelligent Control, and be wirelessly transferred, electromagnetism hold concurrently The technology such as appearance are in one.
Robot carries the sensors such as visible camera, thermal infrared imager, pick up, ultrasound wave, Employing magnetic tracks is navigated, and by optimum path planning, outdoor high pressure equipment can carry out autonomous or remote control and patrol Depending on.By methods such as machine vision, infrared measurement of temperature, sound detection, robot can collect equipment The information such as infrared chart, image and audio frequency, and the thermal defect of automatic identification equipment, abnormal appearance, open Close or the position of disconnecting link, meter reading, oil level indicator position etc., generate unified standard alarm item and Patrol and examine report, send warning information to operations staff, and provide basic data for equipment state overhauling.
Robot system also can be accessed by the fixed video monitoring point in electricity consumption place, and covering robot cannot arrive The observation dead angle reached, it is achieved the whole audience video surveillance.In unmanned, few man on duty electricity consumption place Or intelligent power place, especially under the geographical conditions such as plateau, cold or severe weather conditions, machine People can replace or indirect labor completes the monitoring operation of electricity consumption Premises Equipment.After completing monitor task, Robot is returned to accumulator plant's automatic charging.
The robot to outdoor electric energy meter meter reading of the present invention, uses robot electronics meter reading mode to replace The artificial meter reading mode of meter reading difficulty, by using the far-end coarse adjustment of robot meter reading position and near-end fine tuning In conjunction with mode, it is possible to accurately control robot and arrive target meter reading position, use more intelligent simultaneously Automatic meter reading mode, and according to atmospheric attenuation model determine haze to the influence factor of image to realize High-precision remove haze image procossing, various outdoor electric energy meter readings in having ensured high voltage electric place Correct reading.
Fig. 1 is the present invention block diagram to an embodiment of the robot of outdoor electric energy meter meter reading, Described robot includes the Big Dipper omniselector 1, portable hard drive 2, CMOS vision sensor 3, reading Evaluator 4 and master controller 5, described portable hard drive 2 is used for prestoring all kinds of electric energy meter template, And for prestoring maximum scale, minimum scale and the pointer model of each class electric energy meter template, Described CMOS vision sensor 3 is used for shooting electric energy meter image, and described Recognition of Reading device 4 is with described CMOS vision sensor 3 connects described electric energy meter image is performed image procossing, described main control Device 5 is connected the advanced positions controlling described robot with described the Big Dipper omniselector 1, also with described Portable hard drive 2 and described Recognition of Reading device 4 connect respectively, for controlling the automatic reading of described robot Table.
Fig. 2 is the present invention structure square frame to the another embodiment of the robot of outdoor electric energy meter meter reading Figure, it can be seen that unlike Fig. 1, add sharpening processor 6, position in this embodiment Between CMOS vision sensor 3 and Recognition of Reading device 4.
Then, continue the concrete structure of the robot of the outdoor electric energy meter meter reading of Fig. 2 is carried out further Explanation.
Described robot also includes: power supply, including solar powered device, accumulator, switching Switch and electric pressure converter, described switching switch divides with described solar powered device and described accumulator Do not connect, decide whether to be switched to described solar powered device with by institute according to accumulator dump energy Stating solar powered device to power, described electric pressure converter is connected with described switching switch, passing through The 5V voltage of switching switch input is converted to 3.3V voltage.
Described robot also includes: speech recognition device, for being converted to by the voice of site administrator The signal of telecommunication, and generate phonetic control command based on the described signal of telecommunication.
Described robot also includes: wireless communication interface, and the power supply management platform wireless connections of far-end, With wireless receiving remote control commands, described remote control commands includes the Big Dipper control instruction.
Described robot also includes: robot driving mechanism, is connected with described master controller 5, is used for Under the control of described master controller 5, drive the behavior act of described robot, described behavior act Including advancing, retreat, turn to and crossing over.
Described robot also includes: sharpening processor 6, is positioned at described CMOS vision sensor 3 And between described Recognition of Reading device 4, be used for receiving described electric energy meter image, to described electric energy meter image Carry out haze process and remove haze electric energy meter image to obtain, go haze electric energy meter image to input by described Described Recognition of Reading device 4 is to replace described electric energy meter image by image procossing.
Described sharpening processor 6 also includes with lower component:
Storage subset, is used for prestoring 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 isolating the sky in image Dummy section, is additionally operable to prestore presetted pixel value threshold value, and described presetted pixel value threshold value value is 0 Between 255;
Haze Concentration Testing subset, is positioned in air, for detection electric energy meter position in real time Haze concentration, and determine that intensity removed by haze according to haze concentration, described haze is removed intensity value and is existed Between 0 to 1;
Region divides subset, connects described CMOS vision sensor 3 to receive described electric energy meter figure Picture, described electric energy meter image is carried out gray processing process to obtain gray processing electric energy meter image, also with deposit Storage subset connects, by gray value in described gray processing electric energy meter image at described sky upper limit gray scale threshold Pixel identification between value and described sky lower limit gray threshold also forms gray processing sky sub pattern, from Described gray processing electric energy meter image is partitioned into described gray processing sky sub pattern to obtain the non-sky of gray processing Null subgraph picture, obtains based on described gray processing non-sky subimage position in described electric energy meter image The colour non-sky subimage that sky subimage non-with described gray processing is corresponding;
Black channel obtains subset, divides subset with described region and is connected to obtain described colour non- Sky subimage, for each pixel in described colour non-sky subimage, calculates its R, G, B Three Color Channel pixel values, the R, G, B tri-of all pixels in described colour non-sky subimage Color Channel pixel value extracts the Color Channel at the minimum Color Channel pixel value place of a numerical value As black channel;
Overall air light value obtains subset, is connected to obtain described presetted pixel value with storage subset Threshold value, also divides subset with described region and described black channel obtains subset and is connected respectively to obtain Obtain described electric energy meter image and described black channel, by black channel pixel value in described electric energy meter image Set of pixels to be tested is formed, by described picture to be tested more than or equal to multiple pixels of presetted pixel value threshold value Element concentrates the gray value of the pixel with maximum gradation value as overall air light value;
Atmospheric scattering light value obtains subset, divides subset and the inspection of described haze concentration with described region Survey subset to connect respectively, each pixel to described electric energy meter image, extract its R, G, B In three Color Channel pixel values, minima is as target pixel value, uses the Gaussian smoothing filter keeping edge Ripple device EPGF (edge-preserving gaussian filter) is filtered place to described target pixel value Target pixel value, to obtain filtered target pixel value, is deducted filtered target pixel value to obtain target by reason Pixel value difference, uses EPGF to be filtered object pixel difference processing to obtain filtered target pixel Difference, deducts filtered target pixel value filtered target pixel value difference to obtain haze and removes reference value, Haze is removed intensity be multiplied by haze remove reference value with obtain haze remove threshold value, take haze remove threshold Minima in value and target pixel value, as comparison reference, takes the maximum in comparison reference and 0 It is worth the atmospheric scattering light value as each pixel;
Medium transmission rate obtains subset, obtains subset and described air with described overall air light value Scattering light value obtains subset and connects respectively, by big divided by entirety for the atmospheric scattering light value of each pixel Gas light value, to obtain except value, deducts described except value is to obtain the medium transmission rate of each pixel by 1;
Sharpening Image Acquisition subset, divides subset, described overall air light value with described region Obtain subset and described medium transmission rate obtains subset and connects respectively, deduct each pixel by 1 Medium transmission rate to obtain the first difference, described first difference is multiplied by overall air light value to obtain Product value, deducts described product value to obtain by the pixel value of each pixel in described electric energy meter image Second difference, by described second difference divided by the medium transmission rate of each pixel to obtain each picture The sharpening pixel value of element, in described electric energy meter image, the pixel value of each pixel includes described electric energy The R of each pixel in table image, G, B tri-Color Channel pixel value, correspondingly, it is thus achieved that every The sharpening pixel value of one pixel includes the R of each pixel, G, B tri-Color Channel sharpening Pixel value, the sharpening pixel value composition of all pixels removes haze electric energy meter image.
Described the Big Dipper omniselector 1 for receiving the Big Dipper aeronautical satellite and provided, described robot Current the Big Dipper data.
Described portable hard drive 2 is additionally operable to store electric energy meter upper limit gray threshold and electric energy meter lower limit gray scale threshold Value, described electric energy meter upper limit gray threshold and described electric energy meter lower limit gray threshold are for by image Electric energy meter dial plate and background separation.
Described Recognition of Reading device 4 also include median filter unit, pretreatment unit, object-recognition unit, Template matching unit and pointer position determine unit;
Described median filter unit is connected with described sharpening processing equipment 6, for removing haze to described Electric energy meter image filtering is to export filtering image;
Described pretreatment unit is connected with described median filter unit, for carrying out described filtering image Gray processing processes with output gray level image;
Described object-recognition unit is connected respectively with described pretreatment unit and described portable hard drive, by institute State gray value in gray level image grey at described electric energy meter upper limit gray threshold and described electric energy meter lower limit Spend the pixel identification between threshold value and form electric energy meter plate image;
Described template matching unit is connected respectively with described object-recognition unit and described portable hard drive, base Inquire about in all kinds of electric energy meter templates that described portable hard drive stores in described electric energy meter plate image The target electric energy meter template of coupling, provides the maximum scale of described target electric energy meter template, minimum scale With pointer model;
Described pointer position determines that unit divides with described object-recognition unit and described template matching unit Do not connect, based in electric energy meter plate image described in described electric energy meter plate image recognition with described The gauge pointer of pointer Model Matching, calculates the pointer angle of gauge pointer and the horizontal direction recognized Degree, calculate respectively described maximum scale and described minimum scale and horizontal direction maximum scale angle and Minimum scale angle, according to pointer angle numerical value between maximum scale angle and minimum scale angle Position, determines outdoor electric energy meter reading.
Described master controller 5 and institute's speech recognizer, described wireless communication interface, described robot Drive mechanism, described the Big Dipper omniselector 1, described portable hard drive 2 and described Recognition of Reading device 4 points Do not connect, control described robotically-driven according to described phonetic control command or described remote control commands Mechanism.
Described master controller 5 receives the outdoor electric energy meter reading that described Recognition of Reading device 4 sends, and will Described outdoor electric energy meter reading is forwarded to described power supply management platform, institute by described wireless communication interface Stating master controller 5 and control the data storage of described portable hard drive 2, described remote control commands is for thick Adjusting described robot to advance to target meter reading position, described phonetic control command is for machine described in fine tuning People advances to target meter reading position.
Wherein, what power supply management platform described in described master controller 5 wireless receiving sent remotely controls to refer to The Big Dipper control instruction in order, described the Big Dipper control instruction includes target the Big Dipper data, described Master controller 5 controls described robot driving mechanism and advances to working as of described the Big Dipper omniselector 1 transmission The position of target the Big Dipper data described in front the Big Dipper Data Matching.
Wherein, in the described robot to outdoor electric energy meter meter reading, described master controller 5 is receiving The described power supply management platform forwarded to described wireless communication interface has successfully received outdoor electric energy meter reading Return instruction time, the relay indicating light controlling described robot flashes pre-determined number by preset frequency, To point out site administrator;Alternatively, institute's speech recognizer includes sound sensor unit and voice Identification chip, described sound sensor unit is used for site administrator's voice is converted to the signal of telecommunication, institute State voice recognition chip and connect described sound sensor unit, for generating voice control based on the described signal of telecommunication System instruction, described voice recognition chip can use the LD3320 chip of ICRoute company, Yi Jisuo State median filter unit, described pretreatment unit, described object-recognition unit, described template matching list First and described pointer position determines that unit can be respectively adopted different fpga chips and realize.
It addition, haze image can remove haze by what a series of images processing equipment realized image, To obtain the image of sharpening, improve the visibility of image.These image processing equipments perform not respectively Same image processing function, the principle formed based on haze, reach to remove the effect of haze.Haze figure The sharpening of picture processes all has great using value, military domain bag for dual-use field Including military and national defense, remote sensing navigation etc., civil area includes road monitoring, target following and automatic Pilot Deng.
The process that haze image is formed can be described by atmospheric attenuation process, in haze image and reality The medium of the available overall air light value of the relation between image i.e. sharpening image and each pixel passes Defeated rate is stated, i.e. in the case of known haze image, according to overall air light value and each picture The medium transmission rate of element, can solve sharpening image.
There are some and have in the solving of medium transmission rate for overall air light value and each pixel Effect and through the means of checking, such as, for the medium transmission rate of each pixel, need to obtain whole Body atmosphere light value and the atmospheric scattering light value of each pixel, and the atmospheric scattering light value of each pixel Can be at the Gaussian smoothing that each pixel pixel value in haze image is carried out twice holding edge Filtering and obtain, therebetween, the intensity that haze is removed is adjustable;And the acquisition pattern of entirety air light value has Two kinds, a kind of mode is, (i.e. can make in haze image by obtaining the black channel of haze image The black channel value of some pixels is the lowest, black channel is R, and G, B tri-is in Color Channel A kind of), in haze image, the multiple pixels bigger than normal by finding black channel pixel value are found The pixel of gray value maximum obtains, and gray value that will search out, gray value is maximum pixel is made For overall air light value, participate in the sharpening of each pixel in haze image and process;It addition, it is overall Air light value also can obtain in the following manner: calculates the gray value of each pixel in haze image, will The gray value of the pixel that gray value is maximum is as overall air light value.
Relation between concrete haze image and real image i.e. sharpening image, and parameters Between relation can be found in above content.
By the discussion to haze image formation basic theory, build between haze image and sharpening image Relation, represent this relation by multiple parameters, subsequently by the multiple parameter values obtained and haze figure The image that picture the most reducible acquisition definition is higher, owing to some statistical means have been used in the acquisition of parameter And empirical means, the image that the most described definition is higher can not be fully equivalent to real image, but Have and considerable degree of gone haze effect, provide effectively for the every field operation under haze weather Ensure.
Use the robot to outdoor electric energy meter meter reading of the present invention, for room, existing high voltage electric place Outer electric energy meter reading is inconvenient or reads the technical problem that data precision is the highest, utilizes network technology and voice Identification technology, controls remote location and short range position control combines, and ensures that robot can be accurate to Reach predetermined meter reading position, transform existing automatic meter reading technology, use more intelligent image processing method Formula realizes high accuracy, the automatic meter reading of highly compatible, improves the work efficiency of transformer substation robot, More it is essential that by the analysis to atmospheric attenuation model, introduce sharpening processor to remove haze Impact on electric energy meter image, so that it is guaranteed that outdoor electric energy meter also can be normally carried out far under haze weather Distance electronic type automatic meter reading.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore, Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection In the range of.

Claims (1)

1. the robot to outdoor electric energy meter meter reading, it is characterized in that, described robot includes the Big Dipper omniselector, portable hard drive, CMOS vision sensor, Recognition of Reading device and master controller, described portable hard drive is used for prestoring all kinds of electric energy meter template, and for prestoring the maximum scale of each class electric energy meter template, minimum scale and pointer model, described CMOS vision sensor is used for shooting electric energy meter image, described Recognition of Reading device is connected with described CMOS vision sensor described electric energy meter image is performed image procossing, described master controller is connected with described the Big Dipper omniselector to control the advanced positions of described robot, also it is connected respectively with described portable hard drive and described Recognition of Reading device, for controlling the automatic meter reading of described robot;
Described robot also includes:
Power supply, including solar powered device, accumulator, switching switch and electric pressure converter, described switching switch is connected respectively with described solar powered device and described accumulator, decide whether to 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 switching switch, will be converted to 3.3V voltage by the 5V voltage of switching switch input;
Speech recognition device, for the voice of site administrator is converted to the signal of telecommunication, and generates phonetic control command based on the described signal of telecommunication;
Wireless communication interface, with the power supply management platform wireless connections of far-end, with wireless receiving remote control commands, described remote control commands includes the Big Dipper control instruction;
Robot driving mechanism, is connected with described master controller, under the control of described master controller, drives the behavior act of described robot, described behavior act to include advancing, retreat, turn to and crossing over;
Sharpening processor, between described CMOS vision sensor and described Recognition of Reading device, for receiving described electric energy meter image, described electric energy meter image goes haze process and removes haze electric energy meter image to obtain, go haze electric energy meter image to input described Recognition of Reading device to replace described electric energy meter image by image procossing by described;
Described sharpening processor also includes:
Storage subset, for prestoring 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 isolating the sky areas in image, being additionally operable to prestore presetted pixel value threshold value, described presetted pixel value threshold value value is between 0 to 255;
Haze Concentration Testing subset, is positioned in air, for the haze concentration of detection electric energy meter position in real time, and determines that intensity removed by haze according to haze concentration, and described haze removes intensity value between 0 to 1;
Region divides subset, connect described CMOS vision sensor to receive described electric energy meter image, described electric energy meter image carries out gray processing process to obtain gray processing electric energy meter image, also it is connected with storage subset, by the pixel identification between described sky upper limit gray threshold and described sky lower limit gray threshold of the gray value in described gray processing electric energy meter image and form gray processing sky sub pattern, it is partitioned into described gray processing sky sub pattern to obtain gray processing non-sky subimage from described gray processing electric energy meter image, the colour non-sky subimage that sky subimage non-with described gray processing is corresponding is obtained based on described gray processing non-sky subimage position in described electric energy meter image;
Black channel obtains subset, divide subset with described region to be connected to obtain described colour non-sky subimage, for each pixel in described colour non-sky subimage, calculate its R, G, B tri-Color Channel pixel value, the R of all pixels in described colour non-sky subimage, G, B tri-extracts the Color Channel at the minimum Color Channel pixel value place of a numerical value in Color Channel pixel value as black channel;
Overall air light value obtains subset, it is connected to obtain described presetted pixel value threshold value with storage subset, also divide subset with described region and described black channel obtains subset and is connected respectively to obtain described electric energy meter image and described black channel, black channel pixel value in described electric energy meter image is formed set of pixels to be tested more than or equal to multiple pixels of presetted pixel value threshold value, using the gray value of the pixel in described set of pixels to be tested with maximum gradation value as overall air light value;
nullAtmospheric scattering light value obtains subset,Divide subset with described region and described haze Concentration Testing subset is connected respectively,Each pixel to described electric energy meter image,Extract its R,G,In B tri-Color Channel pixel value, minima is as target pixel value,Use and keep the Gaussian filter EPGF (edge-preserving gaussian filter) at edge to be filtered described target pixel value processing to obtain filtered target pixel value,Target pixel value is deducted filtered target pixel value to obtain object pixel difference,EPGF is used to be filtered object pixel difference processing to obtain filtered target pixel value difference,Filtered target pixel value is deducted filtered target pixel value difference and removes reference value to obtain haze,Haze is removed intensity and is multiplied by haze removal reference value to obtain haze removal threshold value,Take haze and remove the minima in threshold value and target pixel value as comparison reference,Take the atmospheric scattering light value as each pixel of the maximum in comparison reference and 0;
Medium transmission rate obtains subset, obtain subset with described overall air light value and described atmospheric scattering light value obtains subset and is connected respectively, by the atmospheric scattering light value of each pixel divided by overall air light value to obtain except value, deduct described except value is to obtain the medium transmission rate of each pixel by 1;
nullSharpening Image Acquisition subset,Subset is divided with described region、Described overall air light value obtains subset and described medium transmission rate obtains subset and connects respectively,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 electric energy meter image 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,The R of each pixel during the pixel value of each pixel includes described electric energy meter image in described electric energy meter image,G,B tri-Color Channel pixel value,Correspondingly,The sharpening pixel value of each pixel obtained includes the R of each pixel,G,B tri-Color Channel sharpening pixel value,The sharpening pixel value composition of all pixels removes haze electric energy meter image;
Described the Big Dipper omniselector for receive the Big Dipper aeronautical satellite provided, current the Big Dipper data of described robot;
Described portable hard drive is additionally operable to store electric energy meter upper limit gray threshold and electric energy meter lower limit gray threshold, described electric energy meter upper limit gray threshold and described electric energy meter lower limit gray threshold for by the electric energy meter dial plate in image and background separation;
nullDescribed Recognition of Reading device also includes median filter unit、Pretreatment unit、Object-recognition unit、Template matching unit and pointer position determine unit,Described median filter unit is connected with described sharpening processing equipment,For going haze electric energy meter image filtering to export filtering image to described,Described pretreatment unit is connected with described median filter unit,Process for described filtering image being carried out gray processing with output gray level image,Described object-recognition unit is connected respectively with described pretreatment unit and described portable hard drive,By the pixel identification between described electric energy meter upper limit gray threshold and described electric energy meter lower limit gray threshold of the gray value in described gray level image and form electric energy meter plate image,Described template matching unit is connected respectively with described object-recognition unit and described portable hard drive,Based on described electric energy meter plate image target electric energy meter template of match query in all kinds of electric energy meter templates that described portable hard drive stores,Provide the maximum scale of described target electric energy meter template、Minimum scale and pointer model,Described pointer position determines that unit is connected respectively with described object-recognition unit and described template matching unit,Based on gauge pointer with described pointer Model Matching in electric energy meter plate image described in described electric energy meter plate image recognition,Calculate the pointer angle of gauge pointer and the horizontal direction recognized,Calculate described maximum scale and described minimum scale and the maximum scale angle of horizontal direction and minimum scale angle respectively,According to pointer angle numerical value position between maximum scale angle and minimum scale angle,Determine outdoor electric energy meter reading;
Described master controller and institute's speech recognizer, described wireless communication interface, described robot driving mechanism, described the Big Dipper omniselector, described portable hard drive and described Recognition of Reading device connect respectively, described robot driving mechanism is controlled according to described phonetic control command or described remote control commands, described master controller receives the outdoor electric energy meter reading that described Recognition of Reading device sends, and described outdoor electric energy meter reading is forwarded to described power supply management platform by described wireless communication interface, the data storage of portable hard drive described in described main controller controls, described remote control commands advances to target meter reading position for robot described in coarse adjustment, described phonetic control command advances to target meter reading position for robot described in fine tuning;
Wherein, the Big Dipper control instruction in the remote control commands that power supply management platform described in described master controller wireless receiving sends, described the Big Dipper control instruction includes target the Big Dipper data, and robot driving mechanism described in described main controller controls advances to the position of target the Big Dipper data described in current the Big Dipper Data Matching that described the Big Dipper omniselector sends.
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