WO2019076005A1 - 太阳能面板清扫机器人的边缘定位装置及其定位方法 - Google Patents

太阳能面板清扫机器人的边缘定位装置及其定位方法 Download PDF

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Publication number
WO2019076005A1
WO2019076005A1 PCT/CN2018/081991 CN2018081991W WO2019076005A1 WO 2019076005 A1 WO2019076005 A1 WO 2019076005A1 CN 2018081991 W CN2018081991 W CN 2018081991W WO 2019076005 A1 WO2019076005 A1 WO 2019076005A1
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Prior art keywords
data
solar panel
image
line
vehicle body
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PCT/CN2018/081991
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English (en)
French (fr)
Inventor
汪志祥
徐建荣
徐斐
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苏州瑞得恩光能科技有限公司
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Application filed by 苏州瑞得恩光能科技有限公司 filed Critical 苏州瑞得恩光能科技有限公司
Priority to JP2019558440A priority Critical patent/JP6995881B2/ja
Priority to US16/611,497 priority patent/US11014131B2/en
Publication of WO2019076005A1 publication Critical patent/WO2019076005A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B08CLEANING
    • B08BCLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B13/00Accessories or details of general applicability for machines or apparatus for cleaning
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J11/00Manipulators not otherwise provided for
    • B25J11/008Manipulators for service tasks
    • B25J11/0085Cleaning
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1656Programme controls characterised by programming, planning systems for manipulators
    • B25J9/1664Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
    • B25J9/1666Avoiding collision or forbidden zones
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/13Edge detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/141Control of illumination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10048Infrared image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • G06T2207/30256Lane; Road marking
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

Definitions

  • the invention relates to the field of cleaning robots, in particular to an edge positioning device used by a solar panel cleaning robot and a positioning method thereof.
  • a solar panel is a device that converts solar energy directly into electrical energy using photovoltaics that occur under the illumination of semiconductor materials. Solar panels can generate electricity in places where there is sunlight, so solar panels are suitable for a variety of applications, from large power stations to small portable chargers.
  • the working environment of solar panels can only be outdoor, and the biggest problem affecting their work is not the wind and rain, but the dust accumulated all the year round. Dust or other attachments on the solar panel may affect the transmittance of the panel and impede the photoelectric efficiency, which will seriously affect the efficiency of the panel directly acquiring sunlight, reduce the energy absorption and conversion efficiency of the panel, and reduce the power generation efficiency.
  • the solar panel can only be manually and regularly cleaned up. Due to the large area of the solar panel and the large number of panels used by the large power station, the dust will accumulate repeatedly and need to be repeatedly cleaned; therefore, the labor cost is high. The cleaning efficiency is low and the cleaning effect is poor.
  • the solar panel has an edge position
  • the cleaning robot when the cleaning robot is in the edge position for cleaning, if it cannot find it in the edge position of the solar panel in time, it is likely to cause an accident due to the path planning problem. fall.
  • the solar panels are generally placed at a high place, if the cleaning robot falls off from it, it is likely to cause damage to the fuselage and cause a certain economic loss.
  • An object of the present invention is to provide an edge positioning device for a solar panel cleaning robot to solve the problem that the existing cleaning robot cannot be positioned at the edge of the solar panel in time.
  • the present invention provides an edge positioning device for a solar panel cleaning robot, wherein the solar panel cleaning robot includes a vehicle body that travels or resides on at least one solar panel.
  • the solar panel is rectangular, and has four border lines at its edges, and is provided with warp and weft lines perpendicular to each other, wherein the width of the border line is greater than the width of the warp and the weft.
  • the edge positioning device includes an image acquisition unit and an image recognition processing unit, wherein the image acquisition unit is disposed on the vehicle body for collecting surface image information of the solar panel on the vehicle body travel route, and The image information is transmitted to the image recognition processing unit.
  • the image recognition processing unit After receiving the surface image information of the solar panel, the image recognition processing unit collects target line information in the surface image information, and then compares the collected target line information with a preset data, and According to the comparison result of the two, it is judged whether the vehicle body is walking in the edge region of the solar panel in which it is located.
  • the surface image information of the solar panel includes line information of a warp, a weft, or a border line on the solar panel.
  • the collected target line information is line information in the image information, and then the collected line information is compared with a preset border line data, if the collected target line information is equal to or greater than The preset border line data is considered to have a border line in the image, thereby determining that the vehicle body is walking in an edge region of the solar panel.
  • the collected line information includes at least one of line width data or line area data
  • the preset border line data correspondingly includes border line width data or area. At least one of the data.
  • the image acquisition unit first sets effective four-point framing coordinates before performing image acquisition, and then collects surface image information of the solar panel within the four-point framing coordinate range. .
  • the image recognition processing unit after receiving the image transmitted by the image acquisition unit, the image recognition processing unit first converts the image into a black and white image, wherein the line graphic in the image is white.
  • the image recognition processing unit determines that the received border line is in the received image by using the width data or the area data of the continuous white line in the converted image. Width data or area data comparison in the border line data, if the width data of the collected line is equal to the width data in the preset border line data, or the collected area data is equal to or If the area data is larger than the preset border line data, the vehicle body is considered to be walking in the edge area of the solar panel.
  • the width data of the preset border line is 25 and the area data is 25 ⁇ 75
  • the related data of the collected white line is compared with one or two of the two data. Then, the judgment of the border line is performed according to the comparison result.
  • the image recognition processing unit determines that the vehicle body is walking in an edge region of the solar panel, and further calculates a side boundary of the collected solar panel surface image to the identification
  • the distance data of the border line is compared, and the calculated distance data is compared with a preset distance threshold. If the calculated distance data is greater than the preset distance threshold, an instruction indication is issued. Moving the vehicle body to the outside of the traveling route until the calculated distance length is equal to the distance threshold; and when the calculated distance data is less than the preset distance threshold, issuing an instruction to indicate the vehicle The body moves inside the walking route.
  • the manner of setting the distance ⁇ value of the collected side of the image to the border line may be various.
  • one of the distance values may be determined by the distance from the side of the collected image to the nearest side of the border line; or the distance threshold is The distance from the side of the captured image to the median line of the border line is determined; or the distance ⁇ value is the side of the collected image to the border line The distance from the far side is determined.
  • the edge positioning device further includes a light irradiation unit, and the light emitted by the light irradiation unit may appear in a surface image of the solar panel collected by the image acquisition unit.
  • the image recognition processing unit collects the length data of the illumination light in the received image information as target line information, and compares the length data of the illumination light with a stored preset length threshold data. And if the length data of the illumination light is less than the preset length threshold data, the vehicle body is considered to be walking in an edge region of the solar panel.
  • the light irradiation unit is preferably an infrared irradiation unit, but is not limited thereto.
  • an instruction is issued to indicate that the vehicle body is walking.
  • the vehicle body is further provided with a lighting unit for providing light illumination for the image collecting unit.
  • the lighting unit comprises an LED light.
  • the illumination unit is disposed behind the image acquisition unit.
  • the vehicle body includes a casing, and two sides of the vehicle body are provided with a walking device, the casing covers the walking device, and the image collecting unit collects The resulting image includes an image of the surface location of the solar panel between the housing and the travel device.
  • the image acquisition unit is disposed at a position between the traveling device and the housing.
  • the image acquisition unit includes a camera, and the lens of the camera is disposed in a direction toward the ground.
  • an edge positioning method for a solar panel cleaning robot including a panel image acquisition step and an image analysis step.
  • the solar panel in which the cleaning robot is located is rectangular, and has four border lines at its edges, and is provided with warp and weft lines perpendicular to each other, wherein the width of the border line is greater than the width of the warp and the weft in the same .
  • image capturing step surface image information of the solar panel on the traveling path of the cleaning robot body is acquired, and the surface image information is transmitted to the image recognition processing unit of the cleaning robot.
  • the image recognition processing unit After receiving the surface image information of the solar panel, the image recognition processing unit acquires target line information in the surface image information, and the target line information and a preset Comparing the data, and then judging whether the vehicle body is walking in the edge region of the solar panel in accordance with the comparison result of the two.
  • the collected surface image information of the solar panel includes line information of a warp, a weft or a border line on the solar panel.
  • the collected target line information is the line information in the collected surface image information, and then the collected line information is compared with the preset frame line data in the preset, if the collected target line information is If the frame line data is equal to or larger than the preset frame data, it is considered that there is a border line in the surface image, and then the vehicle body is determined to walk in an edge region of the solar panel.
  • the collected line information includes at least one of line width data or line area data
  • the preset border line data correspondingly includes border line width data or area. At least one of the data.
  • the collected surface image information of the solar panel includes an illumination light that is irradiated on the solar panel, the target line is the illumination light, and the length of the illumination light is extracted. Data, and then comparing the length data of the illumination light with a stored preset length threshold data. If the length data of the illumination light is less than the preset length threshold data, the vehicle body is considered to be The edge region of the solar panel walks.
  • an instruction is issued to instruct the vehicle body to travel to the route The external movement is until the detected length of the illumination light is equal to the length threshold; and when the detected illumination light length is less than the length threshold, an instruction is issued to indicate the internal movement of the vehicle body to the traveling path.
  • the invention has the advantages that the edge positioning device of the solar panel cleaning robot and the positioning method thereof are provided, and the width, area or length data of the line identified in the collected image information, and the preset border line data therein Or comparing the threshold value or the length threshold value, according to the comparison result, determining whether the cleaning robot is located at the edge position of the solar panel, so that the solar panel of the cleaning robot is effectively reduced. The risk of falling on, thus avoiding unnecessary property damage.
  • FIG. 1 is a schematic structural view of a cleaning robot according to an embodiment of the present invention, wherein a side portion of the vehicle body shown in the drawing is not shown with a housing portion thereof;
  • FIG. 2 is a schematic structural view of the cleaning robot shown in FIG. 1 at another angle;
  • FIG. 3 is a schematic view of the cleaning robot shown in FIG. 1 on a solar panel;
  • FIG. 4 is a schematic structural view of a cleaning robot according to still another embodiment of the present invention, which is disposed on a solar panel, and wherein a side portion of the vehicle body shown in the drawing is not illustrated with a casing portion thereof.
  • a component When a component is described as being “on” another component, the component can be placed directly on the other component; an intermediate component can also be present, the component being placed on the intermediate component, And the intermediate part is placed on another part.
  • a component When a component is described as “mounted to” or “connected to” another component, it can be understood as “directly” or “connected”, or a component is “mounted to” or “connected” through an intermediate component. To “another part.
  • the present invention provides an edge positioning device for a solar panel cleaning robot 100, wherein the solar panel cleaning robot 100 includes a vehicle body 10 that travels or resides on at least one solar panel 200.
  • the solar panel 200 is a rectangle having four border lines at its edges, and is provided with warp and weft lines perpendicular to each other, wherein the width of the border lines is greater than the width of the warp threads and the weft lines therein.
  • the edge locating device includes an image capturing unit 13 and an image recognition processing unit, wherein the image capturing unit 13 is disposed on the vehicle body 10 for collecting the solar panel 200 on the traveling path of the vehicle body 10. Surface image information, and the image information is transmitted to the image recognition processing unit.
  • the image recognition processing unit After receiving the surface image information of the solar panel, the image recognition processing unit collects target line information in the surface image information, and then compares the collected target line information with a preset data, and then According to the comparison result of the two, it is judged whether the vehicle body is walking in the edge region of the solar panel in which it is located.
  • the present invention correspondingly provides different technical solutions.
  • the target line in the surface image of the solar panel may be line information of the solar panel 200 itself, for example, a line of the border line 210.
  • the width of the border line 210 is larger than the width of the warp threads 211 and the weft threads 212, and the presence of the border line 210 indicates that the edge area of the solar panel is already present. Therefore, by collecting the lines of the border line 210 Information can be used to determine whether the vehicle body 10 is in the edge region of the solar panel 200 in which it is located.
  • the vehicle body 10 is traveling at an edge region of the solar panel 200 in which it is located by a change in the length of a line projected externally onto the solar panel 200.
  • the image collection unit 13 collects the The length of the illumination light included in the image information of the surface of the solar panel is also constant.
  • the length of the illumination light included in the image information of the surface of the solar panel collected by the image acquisition unit is correspondingly shortened, so that the vehicle body 10 can be judged. Whether it is in the edge area of the solar panel 200.
  • Embodiment 1 will be described with reference to FIGS. 1 to 3, and Embodiment 2 will be described with reference to FIG. 4.
  • the embodiment provides an edge positioning device for the solar panel cleaning robot 100.
  • the solar panel cleaning robot 100 includes a vehicle body 10 that travels or resides on at least one solar panel 200.
  • the solar panel 200 is rectangular, and has four border lines 210 at its edges, and is provided with warp threads 211 and weft lines 212 perpendicular to each other, wherein the width of the border lines 210 is larger than the warp threads 211 and the weft lines therein. The width of 212.
  • the edge locating device includes an image capturing unit 13 and an image recognition processing unit, wherein the image capturing unit 13 is disposed on the vehicle body 10 for collecting the solar panel 200 on the traveling path of the vehicle body 10.
  • Surface image information wherein the image information includes line information of the warp 211, the weft 212, or the border line 210 on the solar panel, and the collected image is sent to the image recognition processing unit.
  • the image acquisition unit 13 sets effective four-point view coordinates before performing image acquisition, and then collects image information within the four-point view coordinate range.
  • the image acquisition unit 13 may be a camera, but is not limited thereto.
  • the lens of the camera is disposed in a direction toward the ground, but is not limited thereto.
  • the lens of the camera may also be inclined at an angle, which may be determined as needed, without limitation.
  • the image recognition processing unit is preferably disposed on the vehicle body 10, but is not limited thereto. After receiving the surface image information of the solar panel, the image recognition processing unit collects the line information in the surface image information, and then compares the collected line information with a preset border line data. If the collected line information is equal to or larger than the preset border line data, it is considered that there is a border line in the image, and then the vehicle body 10 is determined to walk in an edge region of the solar panel 200.
  • the collected line information includes at least one of line width data or line area data
  • the preset border line data correspondingly includes border line width data or area. At least one of the data.
  • the image recognition processing unit first converts the image into a black and white color image, wherein the line graphic in the image is white.
  • the black and white image conversion method involved in use includes a two-position method, but is not limited thereto.
  • the image recognition processing unit determines that the received border line is in the received image by using the width data or the area data of the continuous white line in the converted image. Width data or area data comparison in the border line data, if the width data of the collected line is equal to the width data in the preset border line data, or the area data of the collected line If the area data in the preset border line data is equal to or greater than the preset, the vehicle body is considered to be walking at the edge of the solar panel.
  • the width data of the preset border line is 25 and the area data is 25 ⁇ 75
  • the related data of the collected white line is compared with one or two of the two data. Then, the judgment of the border line is performed according to the comparison result.
  • the side boundary of the image is further calculated to the identified a distance data of the frame, and comparing the calculated distance data with a preset distance threshold, and if the calculated distance data is greater than a preset distance threshold, an instruction is issued to indicate the car
  • the body 10 moves to the outside of the traveling route until the calculated distance length is equal to the distance threshold; and when the calculated distance data is smaller than the preset distance threshold, an instruction is issued to instruct the vehicle body 10 to The internal movement of the walking route.
  • the manner of setting the distance ⁇ of the collected side of the image to the border line 210 may be various. .
  • one of the distance ⁇ values may be determined by the distance from the side of the collected image to the nearest side of the border line 210; or the distance ⁇ value is Determining a distance from a side of the collected image to a median line of the border line 210; or, the distance threshold is a side of the collected image to the border The distance from the farthest side of line 210 is determined.
  • the vehicle body 10 includes a casing 11 on both sides of which a traveling device 12 is disposed, and the casing 11 covers the traveling device 12
  • the image collected by the image acquisition unit 13 includes the solar panel surface position image between the housing 11 and the traveling device 12.
  • the image pickup unit 13 is disposed at a position between the traveling device 12 and the casing 11.
  • a lighting unit 14 may be disposed on the vehicle body 10 to provide light illumination for the image capturing unit 13.
  • the illumination unit 14 may be disposed at the rear of the image acquisition unit 13 in the form of an LED lamp, but is not limited thereto.
  • the solar panel cleaning robot 100 includes a vehicle body 10 that travels or resides on at least one solar panel 200.
  • the edge locating device includes an infrared ray irradiation unit 15, an image acquisition unit 13, and an image recognition processing unit, wherein the infrared ray A emitted by the infrared ray irradiation unit 15 is irradiated on the solar panel 200 of the traveling path of the vehicle body 10 and has
  • the image acquisition unit 13 is configured to acquire a surface image of the solar panel 200 on the travel route of the vehicle body 10 and transmit the surface image to the image recognition processing unit of the edge positioning device.
  • the infrared rays irradiated on the surface of the solar panel 200 by the infrared ray irradiation unit 15 may appear in the surface image of the solar panel 200 collected by the image pickup unit 13.
  • the image acquisition unit 13 may be a camera, but is not limited thereto.
  • the lens of the camera is disposed in a direction toward the ground, but is not limited thereto.
  • the lens of the camera may also be inclined at an angle, which may be determined as needed, without limitation.
  • the image recognition processing unit is preferably disposed on the vehicle body 10, but is not limited thereto. After receiving the surface image information of the solar panel, the image recognition processing unit collects the length data of the infrared rays in the surface image information red, and compares the length data of the infrared rays with a stored preset length. The value data is compared. If the length data of the infrared rays is smaller than the preset length threshold data, the vehicle body 10 is considered to be traveling in an edge region of the solar panel 200.
  • the image recognition processing unit finds that the infrared length in the received image information is greater than the preset length threshold data, an instruction is issued to instruct the vehicle body 10 to move to the outside of the traveling route, so as to avoid The cleaning of the position of the opposite edge of the solar panel 200 is omitted until the detected infrared length is equal to the length threshold.
  • an instruction is issued to instruct the vehicle body 10 to move toward the inside of the traveling path to prevent falling from the edge of the solar panel 200 where it is located.
  • the vehicle body 10 includes a housing 11 , and two sides of the vehicle body 10 are provided with a traveling device 12 , and the housing 11 covers the traveling device 12 .
  • the image acquired by the image acquisition unit 13 includes a location of the solar panel surface between the housing 11 and the travel device 12.
  • the image pickup unit 13 is disposed at a position between the traveling device 12 and the casing 11.
  • the infrared ray irradiation unit 15 is disposed behind the image pickup unit 13 and obliquely illuminates the infrared ray toward the front at a certain angle.
  • a light unit 14 may be disposed on the vehicle body 10 to provide light illumination for the image capturing unit 13.
  • the lighting unit 14 may be disposed at the rear of the image collecting unit 13 in the form of an LED lamp, but is not limited thereto.
  • an edge positioning method for a solar panel cleaning robot 100 comprising a panel image acquisition step and an image analysis step.
  • the solar panel 200 in which the solar panel cleaning robot 100 is located is rectangular, and has four border lines at its edges, and is provided with warp and weft lines perpendicular to each other, wherein the width of the border line is larger than the warp and the Describe the width of the weft.
  • image capturing step surface image information of the solar panel on the traveling path of the cleaning robot body is collected and transmitted to the image recognition processing unit of the cleaning robot.
  • the image recognition processing unit After receiving the surface image information of the solar panel, the image recognition processing unit acquires target line information in the surface image information, and the target line information and a preset The data is compared, and then it is judged whether or not the vehicle body 10 is traveling in the edge region of the solar panel 200 in accordance with the comparison result of the two.
  • the collected surface image information of the solar panel 200 includes the line information of the warp 211, the weft 212, or the border line 210 on the solar panel 200.
  • the collected target line information is line information in the image information, and then the collected line information is compared with preset border line data, if the collected target line information is equal to or greater than When the preset border line data is described, it is considered that there is a border line in the image, and it is determined that the vehicle body 10 is walking in the edge region of the solar panel 200 where it is located.
  • the collected line information includes at least one of line width data or line area data
  • the preset border line data correspondingly includes border line width data or area. At least one of the data.
  • the collected surface image information of the solar panel includes an illumination light that is irradiated on the solar panel, the target line is the illumination light, and the illumination light is extracted. Length data, and then comparing the length data of the illumination light with a stored preset length threshold data, and if the length data of the illumination light is less than the preset length threshold data, the vehicle body is considered 10 walks in an edge region of the solar panel 200.
  • the illumination light is preferably infrared light, but is not limited thereto.
  • an instruction is issued to indicate that the vehicle body is walking.
  • the external movement of the route until the detected length of the illumination light is equal to the length threshold; and when the detected illumination light length is less than the length threshold, an instruction is issued to indicate the internal movement of the vehicle body to the traveling route .
  • the invention provides an edge positioning device for a solar panel cleaning robot and a positioning method thereof, which adopts the width, area or length data of the line identified in the collected image information, and the preset border line data or Is the distance ⁇ or the length ⁇ value compared, according to the comparison result, determining whether the cleaning robot is located at the edge position of the solar panel, so that the cleaning robot can be effectively reduced on the solar panel The risk of falling, thus avoiding unnecessary property damage.

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Abstract

一种太阳能面板清扫机器人的边缘定位装置及其定位方法。太阳能面板清扫机器人包括车体(10)和边缘定位装置,车体在至少一太阳能面板(200)上行驶或驻留。边缘定位装置包括图像采集单元(13)和图像识别处理单元,其中图像采集单元设置在车体上,用于采集车体行走路线上的太阳能面板的表面图像信息。图像识别处理单元用于处理图像信息,进而判断车体是否在太阳能面板的边缘区域行走。

Description

太阳能面板清扫机器人的边缘定位装置及其定位方法 技术领域
本发明涉及清扫机器人领域,特别涉及一种太阳能面板清扫机器人使用的边缘定位装置及其定位方法。
背景技术
在化石燃料日趋减少的情况下,作为一种新兴的可再生能源的太阳能已成为人类使用能源的重要组成部分,近十年来,太阳能应用技术在世界各国都得到迅猛发展。太阳能面板是指利用半导体材料在光照条件下发生的光生伏特效应(photovoltaic)将太阳能直接转换为电能的器件。有太阳光的地方就能发电,因此太阳能面板适用于从大型发电站到小型便携式充电器等多种场合,近年来得到飞速发展。
太阳能面板的工作环境只能是户外,影响其工作的最大问题并不是风雨雷电,而是常年累积的灰尘。太阳能面板上附着有灰尘或其它附着物,会影响面板板的透光率,阻碍光电效率,从而会严重影响面板直接获取阳光的效率,降低面板的能量吸收和转换效率,降低发电效率。现有技术的太阳能面板在使用中只能依靠人工定期完成清理工作,由于太阳能面板面积较大、大型电站同时使用的面板较多,而灰尘会反复累积,需要反复清洗;因此人力成本很高、清理效率低、清理效果较差。在很多场合,为了提高空间利用率,太阳能面板都是利用支架设置在高处,这就给清理工作带来更大的难度和风险。很多太阳能面板的用户为了降低清理成本只能选择不清理,这样只能被迫承担灰尘导致的电能损耗。这样,就需要有一个新的自动清理设备,对太阳能面板能够进行 自动清理。
对此,业界开发出了一种新型的清扫机器人来进行太阳能面板的清洁,具体可参看中国专利申请201610836028.8号所揭示的相关内容。但随着这种清扫机器人在实际中的不断使用,业界也发现其需要进行新型功能的研发,来克服实际遇到的各种问题,
例如,由于太阳能面板都是存在边缘位置,而当所述清扫机器人处于边缘位置进行清扫时,若是其自身不能及时发现其处于太阳能面板的边缘位置,则很可能会出现因路径规划问题而导致意外跌落。由于太阳能面板一般都是设置在高处,若是所述清扫机器人从其上跌落下来,则很可能会使得其机身损坏,造成一定的经济损失。
因此,确有必要来开发一种新型的太阳能面板清扫机器人的边缘定位装置,来克服现有技术中的缺陷。
发明内容
本发明的一个目的在于,提供一种太阳能面板清扫机器人的边缘定位装置,以解决现有清扫机器人不能及时在太阳能面板边缘处进行定位的问题。
为解决上述问题,本发明提供一种太阳能面板清扫机器人的边缘定位装置,其中所述太阳能面板清扫机器人包括车体,所述车体在至少一太阳能面板上行驶或驻留。所述太阳能面板为矩形,其边缘处设有四条边框线,其内设有彼此垂直的经线及纬线,其中所述边框线的宽度大于其内所述经线及所述纬线的宽度。所述边缘定位装置包括图像采集单元和图像识别处理单元,其中所述图像采集单元设置在所述车体上,用于采集所述车体行走路线上的太阳能面板的表面图像信息,并将所述图像信息发送给所述图像识别处理单元。所述图像 识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述表面图像信息中的目标线条信息,然后将采集到的所述目标线条信息与一预设的数据比较,并根据两者的比较结果判断所述车体是否在所在太阳能面板的边缘区域行走。
进一步的,在不同实施方式中,所述太阳能面板的表面图像信息包括太阳能面板上的经线、纬线或是边框线的线条信息。所述采集到的目标线条信息为所述图像信息中的线条信息,然后将采集到的所述线条信息与一预设的边框线数据比较,若是采集到的所述目标线条信息等于或是大于所述预设的边框线数据,则认为所述图像中存在边框线,进而判断所述车体在所在太阳能面板的边缘区域行走。
进一步的,在不同实施方式中,所述采集到的线条信息包括线条宽度数据或是线条面积数据中的至少一种,所述预设的边框线数据相应地也包括边框线宽度数据或是面积数据中的至少一种。
进一步的,在不同实施方式中,所述图像采集单元在进行图像采集前,会先设置出有效的四点取景坐标,然后在所述四点取景坐标范围内采集所述太阳能面板的表面图像信息。
进一步的,在不同实施方式中,所述图像识别处理单元在接收到由所述图像采集单元传送的图像后,将其先变换为黑白两色图像,其中所述图像中的线条图形为白色。
进一步的,在不同实施方式中,所述图像识别处理单元判断收到的所述图像中存在边框线条的方式是将转换后的所述图像中的连续白色线条的宽度数据或是面积数据与预设的所述边框线数据中的宽度数据或是面积数据比对, 若是采集到的线条的宽度数据与预设的所述边框线数据中的宽度数据相等,或者,采集到的面积数据等于或是大于预设的所述边框线数据中的面积数据,则认为所述车体在所在太阳能面板的边缘区域行走。
例如,所述预设的边框线的宽度数据是25、面积数据是25X75,则以此为基础将采集到的白色线条的相关数据与这两个数据中的一个或是两个进行比对,然后根据比对结果进行所述边框线的判断。以上列出的数值仅为举例性说明,并无任何限制。
进一步的,在不同实施方式中,所述图像识别处理单元判断出所述车体在所在太阳能面板的边缘区域行走后,进一步计算所述采集到的太阳能面板表面图像的侧边边界到所述识别出的边框线的距离数据,并将所述计算出的距离数据与一预设的距离阙值进行比较,若是计算出的距离数据大于所述预设的距离阙值时,则会发出指令指示所述车体向所在行走路线的外部移动,直到计算出的距离长度等于所述距离阙值;而当计算出的距离数据小于所述预设的距离阙值时,则发出指令指示所述车体向所在行走路线的内部移动。
进一步的,在不同实施方式中,由于所述边框线具有一定的宽度,因此,采集到的所述图像的侧边到所述边框线的距离阙值的设定方式,可以有多种。例如,其中一种可以是,所述距离阙值是以所述采集到的所述图像的侧边到所述边框线最近侧边的距离所确定;或者,所述距离阙值是以所述采集到的所述图像的侧边到所述边框线的中位线的距离所确定;又或者,所述距离阙值是以所述采集到的所述图像的侧边到所述边框线最远侧边的距离所确定。
进一步的,在不同实施方式中,所述边缘定位装置还包括一光线照射单元,所述光线照射单元照射出的光线会出现在所述图像采集单元采集到的所述 太阳能面板的表面图像中。所述图像识别处理单元采集收到的所述图像信息中的所述照射光线的长度数据作为目标线条信息,并将所述照射光线的长度数据与一存储的预设长度阙值数据进行比对,若是所述照射光线的长度数据小于所述预设长度阙值数据,则认为所述车体在所述太阳能面板的边缘区域行走。所述光线照射单元,优选为红外线照射单元,但不限于此。
进一步的,在不同实施方式中,当所述图像识别处理单元发现收到的图像中的所述照射光线长度大于所述预设长度阙值数据时,则发出指令指示所述车体向所在行走路线的外部移动,直到检测到的所述照射光线长度等于所述长度阙值;而当检测到的所述照射光线长度小于所述长度阙值时,则发出指令指示所述车体向所在行走路线的内部移动。
进一步的,在不同实施方式中,所述车体上还设置有照明单元,为所述图像采集单元提供光线照明。
进一步的,在不同实施方式中,所述照明单元包括LED灯。
进一步的,在不同实施方式中,所述照明单元设置在所述图像采集单元的后方。
进一步的,在不同实施方式中,所述车体包括一壳体,所述车体的两侧设置有行走装置,所述壳体将所述行走装置罩设于内,所述图像采集单元采集到的图像包括位于所述壳体与所述行走装置之间的所述太阳能面板的表面位置图像。
进一步的,在不同实施方式中,所述图像采集单元设置在所述行走装置和壳体之间的位置处。
进一步的,在不同实施方式中,所述图像采集单元包括摄像头,所述摄 像头的镜头是以朝向地面的方向设置。
进一步的,本发明的又一实施方式中,提供了一种太阳能面板清扫机器人的边缘定位方法,包括一面板图像采集步骤以及一图像分析步骤。所述清扫机器人所在的太阳能面板为矩形,其边缘处设有四条边框线,其内设有彼此垂直的经线及纬线,其中所述边框线的宽度大于其内所述经线及所述纬线的宽度。在所述图像采集步骤中,采集所述清扫机器人车体行走路线上的太阳能面板的表面图像信息,并将所述表面图像信息发送给所述清扫机器人的图像识别处理单元。在所述图像分析步骤中,所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述表面图像信息中的目标线条信息,并将所述目标线条信息与一预设的数据比较,然后根据两者的比较结果判断所述车体是否在所在太阳能面板的边缘区域行走。
进一步的,在不同实施方式中,采集到的所述太阳能面板的表面图像信息包括太阳能面板上的经线、纬线或是边框线的线条信息。所述采集到的目标线条信息为采集到的所述表面图像信息中的线条信息,然后将采集到的所述线条信息与其内预设的边框线数据比较,若是采集到的所述目标线条信息等于或是大于所述预设的边框线数据,则认为所述表面图像中存在边框线,进而判断所述车体在所在太阳能面板的边缘区域行走。
进一步的,在不同实施方式中,所述采集到的线条信息包括线条宽度数据或是线条面积数据中的至少一种,所述预设的边框线数据相应的也是包括边框线宽度数据或是面积数据中的至少一种。
进一步的,在不同实施方式中,采集到的所述太阳能面板的表面图像信息包括照射在所述太阳能面板上的一条照射光线,所述目标线条为所述照射光 线,并提取该照射光线的长度数据,然后将所述照射光线的长度数据与一存储的预设长度阙值数据进行比对,若是所述照射光线的长度数据小于所述预设长度阙值数据,则认为所述车体在所述太阳能面板的边缘区域行走。
进一步的,在不同实施方式中,当所述图像识别处理单元发现收到的图像中的照射光线长度大于所述预设长度阙值数据时,则会发出指令指示所述车体向所在行走路线的外部移动,直到检测到的照射光线长度等于所述长度阙值;而当检测到的照射光线长度小于所述长度阙值时,则发出指令指示所述车体向所在行走路线的内部移动。
本发明优点在于,提供一种太阳能面板清扫机器人的边缘定位装置及其定位方法,通过对采集到的图像信息中识别出的线条的宽度、面积或是长度数据,与其内预设的边框线数据或是距离阙值或是长度阙值相比对,根据比对结果,确定所述清扫机器人是否处在所处太阳能面板的边缘位置,如此,可有效的降低所述清扫机器人在所处太阳能面板上的跌落风险,从而避免不必要的财产损失。
附图说明
图1为本发明实施例中清扫机器人的结构示意图,其中图中所示车体的侧部未图示其壳体部分;
图2为图1所示的清扫机器人另一角度下的结构示意图;
图3为图1所示的清扫机器人在太阳能面板上的示意图;
图4为本发明又一实施例中清扫机器人的的结构示意图,其处在一太阳能面板上,且其中图中所示车体的侧部未图示其壳体部分。
图中部件编号如下:
太阳能面板清扫机器人100,太阳能面板200,边框线210,经线211,纬线212;车体10,壳体11,行走装置12,图像采集单元13,照明单元14,红外线照射单元15。
具体实施方式
以下参考说明书附图介绍本发明的优选实施例,证明本发明可以实施,所述实施例可以向本领域中的技术人员完整介绍本发明,使其技术内容更加清楚和便于理解。本发明可以通过许多不同形式的实施例来得以体现,本发明的保护范围并非仅限于文中提到的实施例。
在附图中,结构相同的部件以相同数字标号表示,各处结构或功能相似的组件以相似数字标号表示。附图所示的每一部件的尺寸和厚度是任意示出的,本发明并没有限定每个组件的尺寸和厚度。为了使图示更清晰,附图中有些地方适当夸大了部件的厚度。
本发明所提到的方向用语,例如「上」、「下」、「前」、「后」、「左」、「右」、「内」、「外」、「侧面」等,仅是附图中的方向,只是用来解释和说明本发明,而不是用来限定本发明的保护范围。
当某些部件被描述为“在”另一部件“上”时,所述部件可以直接置于所述另一部件上;也可以存在一中间部件,所述部件置于所述中间部件上,且所述中间部件置于另一部件上。当一个部件被描述为“安装至”或“连接至”另一部件时,二者可以理解为直接“安装”或“连接”,或者一个部件通过一中间部件间接“安装至”、或“连接至”另一个部件。
本发明提供一种太阳能面板清扫机器人100的边缘定位装置,其中所述太阳能面板清扫机器人100包括一车体10,所述车体10在至少一太阳能面板 200上行驶或驻留。所述太阳能面板200为一矩形,其边缘处设有四条边框线,其内设有彼此垂直的经线及纬线,其中所述边框线的宽度大于其内所述经线及所述纬线的宽度。所述边缘定位装置包括一图像采集单元13和一图像识别处理单元,其中所述图像采集单元13设置在所述车体10上,用于采集所述车体10行走路线上的太阳能面板200的表面图像信息,并将所述图像信息发送给所述图像识别处理单元。所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述表面图像信息中的目标线条信息,然后将采集到的所述目标线条信息与一预设的数据比较,然后根据两者的比对结果判断所述车体是否在所在太阳能面板的边缘区域行走。
进一步的,对于所述采集到的所述太阳能面板的表面图像信息中的目标线条而言,可以是有不同的类型,根据这些不同类型的线条,本发明相应提供不同的技术方案。
具体来讲,所述太阳能面板表面图像中的目标线条,既可以是太阳能面板200上本身就具有的线条信息,例如,边框线210线条。所述边框线210的宽度比经线211及纬线212的宽度大,同时由于所述边框线210的存在即可表明此处已处于太阳能面板的边缘区域,因此,通过采集所述边框线210的线条信息,即可来判断所述车体10是否处在所在太阳能面板200的边缘区域。
又或者,通过外部投射到所述太阳能面板200上的线条的长度变化来判断所述车体10是否在所处太阳能面板200的边缘区域行走。具体来讲,当所述车体10在所在太阳能面板200上正常行走时,外部照射到所在太阳能面板200上的光线的长度是一定的,相应的,所述图像采集单元13采集到的所述太阳能面板表面的图像信息中包括的所述照射光线的长度也是一定的。而当所述 车体10在所在太阳能面板200的边缘处行走时,所述外部照射光线,因为所述车体10位于所在太阳能面板200的边缘区域,因此,部分照射光线可能已落在所在太阳能面板200之外,相应的,所述图像采集单元采集到的所述太阳能面板表面的图像信息中包括的所述照射光线的长度也会相应的缩短,如此,即可来判断所述车体10是否处在所在太阳能面板200的边缘区域。
进一步的,以下将结合附图和具体实施例,对上述这两种通过采集所在太阳能面板的表面图像信息包括的不同线条信息,可实现相同的处于所在太阳能面板边缘区域行走的判断结果,所采用的具体技术方案做进一步的详细说明。其中实施例一将结合附图1~3进行说明,实施例二将结合附图4进行说明。
实施例一
如图1、2及3所示,本实施例提供了一种太阳能面板清扫机器人100的边缘定位装置。所述太阳能面板清扫机器人100包括一车体10,所述车体10在至少一太阳能面板200上行驶或驻留。
所述太阳能面板200为矩形,其边缘处设有四条边框线210,其内设有彼此垂直的经线211及纬线212,其中所述边框线210的宽度大于其内所述经线211及所述纬线212的宽度。
所述边缘定位装置包括一图像采集单元13和一图像识别处理单元,其中所述图像采集单元13设置在所述车体10上,用于采集所述车体10行走路线上的太阳能面板200的表面图像信息,其中所述图像信息包括太阳能面板上的所述经线211、纬线212或是边框线210的线条信息,并将采集到的所述图像发送给所述图像识别处理单元。
进一步的,所述图像采集单元13在进行图像采集前,先设置出有效的四 点取景坐标,然后在所述四点取景坐标范围内采集图像信息。所述图像采集单元13可以是一摄像头,但不限于此。在一个具体实施方式中,所述摄像头的镜头是以朝向地面的方向设置,但不限于此。在其他实施方式中,所述摄像头的镜头也可以是以一定角度倾斜设置,具体可随需要而定,并无限制。
所述图像识别处理单元优选设置在所述车体10上,但不限于此。所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述表面图像信息中的所述线条信息,然后将采集到的所述线条信息与一预设的边框线数据比较,若是采集到的所述线条信息等于或是大于所述预设的边框线数据,则认为所述图像中存在边框线条,进而判断所述车体10在所在太阳能面板200的边缘区域行走。
进一步的,在不同实施方式中,所述采集到的线条信息包括线条宽度数据或是线条面积数据中的至少一种,所述预设的边框线数据相应的也是包括边框线宽度数据或是面积数据中的至少一种。
进一步的,所述图像识别处理单元在接收到由所述图像采集单元13传送的图像后,将所述图像先变换为黑白两色图像,其中所述图像中的线条图形为白色。涉及使用的黑白图像转化方法包括二位法,但不限于此。
进一步的,在不同实施方式中,所述图像识别处理单元判断收到的所述图像中存在边框线条的方式是将转换后的所述图像中的连续白色线条的宽度数据或是面积数据与预设的所述边框线数据中的宽度数据或是面积数据比对,若是采集到的线条的宽度数据与预设的所述边框线数据中的宽度数据相等,或者,采集到的线条的面积数据等于或是大于预设的所述边框线数据中的面积数据,则认为所述车体在所在太阳能面板的边缘处行走。
例如,所述预设的边框线的宽度数据是25、面积数据是25X75,则以此为基础将采集到的白色线条的相关数据与这两个数据中的一个或是两个进行比对,然后根据比对结果进行所述边框线的判断。以上列出的数值仅为举例性说明,并无任何限制。
进一步的,在不同实施方式中,所述述图像识别处理单元在判断出所述车体10在所在太阳能面板200的边缘处行走后,进一步计算所述图像的侧边边界到所述识别出的边框的距离数据,并将所述计算出的距离数据与一预设的距离阙值进行比较,若是计算出的距离数据大于其内预设的距离阙值时,则会发出指令指示所述车体10向所在行走路线的外部移动,直到计算出的距离长度等于所述距离阙值;而当计算出的距离数据小于所述预设距离阙值时,则发出指令指示所述车体10向所在行走路线的内部移动。
进一步的,在不同实施方式中,由于所述边框线210具有一定的宽度,因此,采集到的所述图像的侧边到所述边框线210的距离阙值的设定方式,可以有多种。例如,其中一种可以是,所述距离阙值是以所述采集到的所述图像的侧边到所述边框线210最近侧边的距离所确定;或者,所述距离阙值是以所述采集到的所述图像的侧边到所述边框线210的中位线的距离所确定;又或者,所述距离阙值是以所述采集到的所述图像的侧边到所述边框线210最远侧边的距离所确定。
进一步的,在一个优选实施方式中,所述车体10包括一壳体11,所述车体10的两侧设置有行走装置12,所述壳体11将所述行走装置12罩设于内,所述图像采集单元13采集到的图像包括位于所述壳体11与所述行走装置12之间的所述太阳能面板表面位置图像。或者可以说,其中所述图像采集单元13 设置在所述行走装置12和壳体11之间的位置处。
进一步的,为了保证所述图像采集单元13采集到的图像信息的清晰度,所述车体10上还可设置有一照明单元14,以为所述图像采集单元13提供光线照明。具体的,所述照明单元14可以是设置在所述图像采集单元13的后方,采用LED灯的形式,但不限于此。
实施例二
请参阅图4所示,本实施方式中提供了一种太阳能面板清扫机器人100的边缘定位装置。所述太阳能面板清扫机器人100包括一车体10,所述车体10在至少一太阳能面板200上行驶或驻留。
所述边缘定位装置包括一红外线照射单元15、一图像采集单元13和图像识别处理单元,其中所述红外线照射单元15发出的红外线A照射在所述车体10行进路线的太阳能面板200上并且具有一定的长度,所述图像采集单元13用于采集所述车体10行进路线上的太阳能面板200的表面图像并将所述表面图像发送给所述边缘定位装置的所述图像识别处理单元。所述红外线照射单元15照射在所述太阳能面板200表面上的红外线会出现在所述图像采集单元13的采集到的所述太阳能面板200的表面图像中。
所述图像采集单元13可以是一摄像头,但不限于此。在一个具体实施方式中,所述摄像头的镜头是以朝向地面的方向设置,但不限于此。在其他实施方式中,所述摄像头的镜头也可以是以一定角度倾斜设置,具体可随需要而定,并无限制。
所述图像识别处理单元优选设置在所述车体10上,但不限于此。所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,在所述表面图像 信息红采集所述红外线的长度数据,并将所述红外线的长度数据与一存储的预设长度阙值数据进行比对,若是所述红外线的长度数据小于所述预设长度阙值数据,则认为所述车体10在所述太阳能面板200的边缘区域行走。
进一步的,当所述图像识别处理单元发现收到的图像信息中的红外线长度大于所述预设长度阙值数据时,则会发出指令指示所述车体10向所在行走路线的外部移动,以免遗漏对所处太阳能面板200相对边缘的位置的清扫,直到检测到的红外线长度等于所述长度阙值。而当检测到的红外线长度小于所述长度阙值时,则发出指令指示所述车体10向所在行走路线的内部移动,以免从所处太阳能面板200的边缘掉落。
进一步的,在一个优选实施方式中,所述车体10包括壳体11,所述车体10的两侧设置有行走装置12,所述壳体11将所述行走装置12罩设于内,所述图像采集单元13采集到的图像包括位于所述壳体11与所述行走装置12之间的所述太阳能面板表面的位置。或者可以说,其中所述图像采集单元13设置在所述行走装置12和壳体11之间的位置处。所述红外线照射单元15设置在所述图像采集单元13的后方,并以一定角度向前方倾斜照射红外线。
进一步的,为了保证所述图像采集单元13采集到的图像信息的清晰度,其中所述车体10上还可设置有一照明单元14,为所述图像采集单元13提供光线照明。具体的,其中所述照明单元14可以是设置在所述图像采集单元13的后方,采用LED灯的形式,但不限于此。
进一步的,本发明的又一实施方式中,提供了一种太阳能面板清扫机器人100的边缘定位方法,所述方法包括一面板图像采集步骤以及一图像分析步骤。所述太阳能面板清扫机器人100所在的太阳能面板200为矩形,其边缘处 设有四条边框线,其内设有彼此垂直的经线及纬线,其中所述边框线的宽度大于其内所述经线及所述纬线的宽度。在所述图像采集步骤中,采集所述清扫机器人车体行走路线上的太阳能面板的表面图像信息,并将其发送给所述清扫机器人的图像识别处理单元。在所述图像分析步骤中,所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述表面图像信息中的目标线条信息,并将所述目标线条信息与一预设的数据比较,然后根据两者的比较结果判断所述车体10是否在所在太阳能面板200的边缘区域行走。
进一步的,在不同实施方式中,采集到的所述太阳能面板200的表面图像信息包括太阳能面板200上的经线211、纬线212或是边框线210的线条信息。所述采集到的目标线条信息为所述图像信息中的线条信息,然后将采集到的所述线条信息与预设的边框线数据比较,若是采集到的所述目标线条信息等于或是大于所述预设的边框线数据,则认为所述图像中存在边框线条,进而判断所述车体10在所在太阳能面板200的边缘区域行走。
进一步的,在不同实施方式中,所述采集到的线条信息包括线条宽度数据或是线条面积数据中的至少一种,所述预设的边框线数据相应的也是包括边框线宽度数据或是面积数据中的至少一种。
进一步的,在不同实施方式中,采集到的所述太阳能面板的表面图像信息包括照射在所述太阳能面板上的一条照射光线,所述目标线条为所述照射光线,并提取所述照射光线的长度数据,然后将所述照射光线的长度数据与一存储的预设长度阙值数据进行比对,若是所述照射光线的长度数据小于所述预设长度阙值数据,则认为所述车体10在所述太阳能面板200的边缘区域行走。其中所述照射光线优选为红外线照射光线,但不限于此。
进一步的,在不同实施方式中,当所述图像识别处理单元发现收到的图像中的照射光线长度大于其内预设的长度阙值数据时,则会发出指令指示所述车体向所在行走路线的外部移动,直到检测到的照射光线长度等于所述长度阙值;而当检测到的照射光线长度小于所述长度阙值时,则发出指令指示所述车体向所在行走路线的内部移动。
本发明提供的一种太阳能面板清扫机器人的边缘定位装置及其定位方法,其通过对采集到的图像信息中识别出的线条的宽度、面积或是长度数据,与其内预设的边框线数据或是距离阙值或是长度阙值相比对,根据比对结果,确定所述清扫机器人是否处在所处太阳能面板的边缘位置,如此,可有效的降低所述清扫机器人在所处太阳能面板上的跌落风险,从而避免不必要的财产损失。
以上所述仅是本发明的优选实施方式,应当指出,对于本技术领域的普通技术人员,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。

Claims (18)

  1. 一种太阳能面板清扫机器人的边缘定位装置,其中所述太阳能面板清扫机器人包括一车体,所述车体在至少一太阳能面板上行驶或驻留;所述太阳能面板为矩形,其边缘处设有四条边框线,其内设有彼此垂直的经线及纬线,其中所述边框线的宽度大于其内所述经线及所述纬线的宽度;其中,
    所述边缘定位装置包括一图像采集单元和一图像识别处理单元,其中所述图像采集单元设置在所述车体上,用于采集所述车体行走路线上的太阳能面板的表面图像信息,并将所述图像信息发送给所述图像识别处理单元;
    所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述图像信息中的目标线条信息,然后将采集到的所述目标线条信息与一预设的数据比较,并根据比较结果判断所述车体是否在所在太阳能面板的边缘区域行走。
  2. 如权利要求1所述的边缘定位装置,其中所述太阳能面板的表面图像信息包括太阳能面板上的经线、纬线或是边框线的线条信息;所述目标线条信息为所述图像信息中的线条信息,然后将采集到的所述线条信息与一预设的边框线数据比较,若是采集到的所述目标线条信息等于或是大于所述预设的边框线数据,则认为所述图像中存在边框线,进而判断所述车体在所在太阳能面板的边缘区域行走。
  3. 如权利要求2所述的边缘定位装置,其中所述采集到的线条信息包括线条宽度数据或是线条面积数据中的至少一种,所述预设的边框线数据相应的也包括边框线宽度数据或是面积数据中的至少一种。
  4. 如权利要求1所述的边缘定位装置,其中所述图像采集单元在进行图像采集前,先设置出有效的四点取景坐标,然后在所述四点取景坐标范围内采集所述太阳能面板的表面图像信息。
  5. 如权利要求2所述的边缘定位装置,其中所述图像识别处理单元在接收到由所述图像采集单元传送的图像后,将所述图像先变换为黑白两色图像,其中所述图像中的线条图形为白色。
  6. 如权利要求5所述的边缘定位装置,其中所述图像识别处理单元判断收到的所述图像中存在边框线条的方式是,将转换后的所述图像中的连续白色线条的宽度数据或是面积数据与预设的所述边框线数据中的宽度数据或是面积数据比对,若是采集到的线条的宽度数据与预设的所述边框线数据中的宽度数据相等,或者,线条的面积数据等于或是大于预设的所述边框线数据中的面积数据,则认为所述车体在所在太阳能面板的边缘区域行走。
  7. 如权利要求2所述的边缘定位装置,其中所述图像识别处理单元在判断出所述车体在所在太阳能面板的边缘区域行走后,进一步计算所述采集到的太阳能面板表面图像的侧边边界到所述识别出的边框线的距离数据,并将所述计算出的距离数据与其内预设的距离阙值进行比较,若是计算出的距离数据大于其内预设的距离阙值时,则会发出指令指示所述车体向所在行走路线的外部移动,直到计算出的距离长度等于所述距离阙值;而当计算出的距离数据小于所述预设距离阙值时,则发出指令指示所述车体向所在行走路线的内部移动。
  8. 如权利要求1所述的边缘定位装置,还包括一光线照射单元,所述光线照射单元照射出的光线出现在所述图像采集单元采集到的所述太阳能面板的表面图像中;所述图像识别处理单元采集收到的所述图像信息中的所述照射光线的长度数据为目标线条信息,并将所述所述照射光线的长度数据与一存储的预设长度阙值数据进行比对,若是所述照射光线的长度数据小于所述预设长度阙值数据,则认为所述车体在所述太阳能面板的边缘区域行走。
  9. 如权利要求8所述的边缘定位装置,其中当所述图像识别处理单元发现收到的图像中的所述照射光线长度大于所述预设长度阙值数据时,则会发出指令指示所述车体向所在行走路线的外部移动,直到检测到的所述照射光线长度等于所述预设长度阙值数据;而当检测到的所述照射光线长度小于所述预设长度阙值数据时,则发出指令指示所述车体向所在行走路线的内部移动。
  10. 如权利要求1所述的边缘定位装置,其中所述车体上还设置有一照明单元,为所述图像采集单元提供光线照明。
  11. 如权利要求1所述的边缘定位装置,其中所述车体包括一壳体,所述车 体的两侧设置有行走装置,所述壳体将所述行走装置罩设于内,所述图像采集单元采集到的图像包括位于所述壳体与所述行走装置之间的所述太阳能面板的表面位置图像。
  12. 如权利要求11所述的边缘定位装置,其中所述图像采集单元设置在所述行走装置和壳体之间的位置处。
  13. 如权利要求1所述的边缘定位装置,其中所述图像采集单元包括摄像头,所述摄像头的镜头是以朝向地面的方向设置。
  14. 一种太阳能面板清扫机器人的边缘定位方法,其中所述清扫机器人所在的太阳能面板为矩形,其边缘处设有四条边框线,其内设有彼此垂直的经线及纬线,其中所述边框线的宽度大于其内所述经线及所述纬线的宽度;所述边缘定位方法包括一面板图像采集步骤以及一图像分析步骤;
    在所述图像采集步骤中,采集所述清扫机器人车体行走路线上的太阳能面板的表面图像信息,并将所述表面图像信息发送给所述清扫机器人的图像识别处理单元;
    在所述图像分析步骤中,所述图像识别处理单元在接收到所述太阳能面板的表面图像信息后,采集所述表面图像信息中的目标线条信息,并将目标线条信息与一预设的数据比较,然后根据两者的比较结果判断所述车体是否在所在太阳能面板的边缘区域行走。
  15. 如权利要求14所述的边缘定位方法,其中采集到的所述太阳能面板的表面图像信息包括所述太阳能面板上的经线、纬线或是边框线的线条信息;所述采集到的目标线条信息为所述图像信息中的线条信息,然后将采集到的所述线条信息与其内预设的边框线数据比较,若是采集到的所述目标线条信息等于或是大于所述预设的边框线数据,则认为采集到的所述表面图像中存在边框线,进而判断所述车体在所在太阳能面板的边缘区域行走。
  16. 如权利要求15所述的边缘定位方法,其中所述采集到的线条信息包括线条宽度数据或是线条面积数据中的至少一种,所述预设的边框线数据相应的也是包括边框线宽度数据或是面积数据中的至少一种。
  17. 如权利要求14所述的边缘定位方法,其中采集到的所述太阳能面板的表面图像信息包括照射在所述太阳能面板上的一条照射光线,所述目标线条为所述照射光线,并提取所述照射光线的长度数据,然后将所述照射光线的长度数据与一存储的预设长度阙值数据进行比对,若是所述照射光线的长度数据小于所述预设长度阙值数据,则认为所述车体在所述太阳能面板的边缘区域行走。
  18. 如权利要求17所述的边缘定位方法,其中当所述图像识别处理单元发现收到的所述表面图像中的照射光线长度大于所述预设长度阙值数据时,则会发出指令指示所述车体向所在行走路线的外部移动,直到检测到的照射光线长度等于所述长度阙值数据;而当检测到的照射光线长度小于所述预设长度阙值时,则发出指令指示所述车体向所在行走路线的内部移动。
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CN110882969A (zh) * 2019-11-22 2020-03-17 深圳怪虫机器人有限公司 一种沿桥面自动行走的光伏清洁机器人
CN111687858A (zh) * 2020-06-20 2020-09-22 深圳怪虫机器人有限公司 一种具有检测光伏面板底纹类型的光伏清洁机器人

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