CN113700231A - Highway photovoltaic ceiling system of intelligence snow removing - Google Patents

Highway photovoltaic ceiling system of intelligence snow removing Download PDF

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Publication number
CN113700231A
CN113700231A CN202111010570.5A CN202111010570A CN113700231A CN 113700231 A CN113700231 A CN 113700231A CN 202111010570 A CN202111010570 A CN 202111010570A CN 113700231 A CN113700231 A CN 113700231A
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snow
preset
photovoltaic
image
unit
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CN113700231B (en
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陈羿铭
王宇凤
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Nupt Institute Of Big Data Research At Yancheng
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Nupt Institute Of Big Data Research At Yancheng
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    • EFIXED CONSTRUCTIONS
    • E04BUILDING
    • E04DROOF COVERINGS; SKY-LIGHTS; GUTTERS; ROOF-WORKING TOOLS
    • E04D13/00Special arrangements or devices in connection with roof coverings; Protection against birds; Roof drainage ; Sky-lights
    • E04D13/10Snow traps ; Removing snow from roofs; Snow melters
    • E04D13/103De-icing devices or snow melters
    • EFIXED CONSTRUCTIONS
    • E04BUILDING
    • E04DROOF COVERINGS; SKY-LIGHTS; GUTTERS; ROOF-WORKING TOOLS
    • E04D13/00Special arrangements or devices in connection with roof coverings; Protection against birds; Roof drainage ; Sky-lights
    • EFIXED CONSTRUCTIONS
    • E04BUILDING
    • E04DROOF COVERINGS; SKY-LIGHTS; GUTTERS; ROOF-WORKING TOOLS
    • E04D13/00Special arrangements or devices in connection with roof coverings; Protection against birds; Roof drainage ; Sky-lights
    • E04D13/04Roof drainage; Drainage fittings in flat roofs, balconies or the like
    • E04D13/076Devices or arrangements for removing snow, ice or debris from gutters or for preventing accumulation thereof
    • E04D13/0762De-icing devices or snow melters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/10Cleaning arrangements
    • H02S40/12Means for removing snow
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/695Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
    • 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
    • G06T2207/30181Earth observation
    • G06T2207/30184Infrastructure
    • 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
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/10Photovoltaic [PV]
    • 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

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  • Engineering & Computer Science (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Geometry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Buildings Adapted To Withstand Abnormal External Influences (AREA)

Abstract

The invention provides an intelligent snow-removing expressway photovoltaic ceiling system, which comprises: the snow quantity counting module is used for collecting snow images on a photovoltaic module of a highway photovoltaic ceiling based on a preset camera and analyzing to obtain the current snow depth on the photovoltaic module; the snow quantity comparison module is used for comparing the current snow depth on the photovoltaic module with a preset snow depth and matching a target snow removal mode based on a comparison result; and the intelligent snow removing module is used for removing snow on the accumulated snow on the photovoltaic assembly of the photovoltaic ceiling of the expressway based on the target snow removing mode. Snow removing operation is carried out to the snow on the photovoltaic ceiling through different snow removing modes, has improved snow removing efficiency, has reduced the snow removing cost, has saved a large amount of manpower resources.

Description

Highway photovoltaic ceiling system of intelligence snow removing
Technical Field
The invention relates to the technical field of intelligent snow removal of photovoltaic modules, in particular to an intelligent snow removal expressway photovoltaic ceiling system.
Background
At present, road accumulated snow, ramp accumulated snow, ice and the like bring great negative effects on traffic safety and smoothness, particularly for a highway, traffic accidents are caused by wet and slippery accumulated snow on the road surface, and under the condition of serious accumulated snow, the highway has to stop traffic, so that the normal production and life are greatly affected. Every year, the transportation department consumes huge expenses in the aspect of removing snow on expressways, the traditional snow melting and deicing modes mainly comprise a manual removing method and a mechanical removing method, the snow removing mode is high in cost, time and labor are consumed, and particularly when continuous snow falling is encountered, staged snow removing cannot achieve a sufficient effect.
Therefore, the intelligent snow removing expressway photovoltaic ceiling system is used for removing snow on the photovoltaic ceiling in different snow removing modes, so that the snow removing efficiency is improved, the snow removing cost is reduced, and a large amount of manpower resources are saved.
Disclosure of Invention
The invention provides an intelligent snow-removing expressway photovoltaic ceiling system which is used for removing snow on a photovoltaic ceiling in different snow removing modes, so that the snow removing efficiency is improved, the snow removing cost is reduced, and a large amount of manpower resources are saved.
The invention provides an intelligent snow-removing expressway photovoltaic ceiling system, which comprises:
the snow quantity counting module is used for collecting snow images on a photovoltaic module of a highway photovoltaic ceiling based on a preset camera and analyzing to obtain the current snow depth on the photovoltaic module;
the snow quantity comparison module is used for comparing the current snow depth on the photovoltaic module with a preset snow depth and matching a target snow removal mode based on a comparison result;
and the intelligent snow removing module is used for removing snow on the accumulated snow on the photovoltaic assembly of the photovoltaic ceiling of the expressway based on the target snow removing mode.
Preferably, a highway photovoltaic ceiling system of intelligence snow removing, snow volume statistics module includes:
the angle adjusting unit is used for controlling the preset camera to carry out first image acquisition on the accumulated snow on the photovoltaic module of the highway photovoltaic ceiling based on an image acquisition instruction sent by the control terminal to obtain a first acquired image;
the angle adjusting unit is further used for judging whether the accumulated snow area in the first collected image is located in a preset area of the first collected image;
the angle adjusting unit is further configured to determine current position information of the snow area in the first collected image and position information of a preset area when the snow area is not in the preset area, and adjust an angle of the preset camera based on the snow area and the position information of the preset area;
and the image acquisition unit is used for controlling the preset camera to carry out second image acquisition on the accumulated snow on the photovoltaic component of the highway photovoltaic ceiling according to the adjusted angle to obtain a second acquired image, wherein the second acquired image is used for carrying out image acquisition on the accumulated snow on the photovoltaic component of the highway photovoltaic ceiling through a plurality of angles.
Preferably, a highway photovoltaic ceiling system of intelligence snow removing, snow volume statistics module still includes:
the system comprises an image acquisition unit, a storage unit and a control unit, wherein the image acquisition unit is used for acquiring an acquired snow cover image on a photovoltaic assembly of a photovoltaic ceiling of the expressway and extracting an effective area image in the snow cover image, the effective area image is an area comprising snow cover characteristic information, and the effective area image comprises a preset calibration rod;
the image processing unit is used for filtering the effective area image based on preset low-pass filters with different filter coefficients to obtain filter images corresponding to the different filter coefficients;
the image processing unit is further configured to determine an intermediate-frequency image corresponding to the effective area image based on the filtered image corresponding to the different filter coefficients and the effective area image, where the intermediate-frequency image is an image including intermediate-frequency information of the effective image;
the image processing unit is further configured to remove background noise of the intermediate-frequency image based on a preset denoising method, determine a target gradient of each pixel in the intermediate-frequency image, and determine a sharpness evaluation value of the intermediate-frequency image based on the target gradient of each pixel and a preset weight corresponding to each pixel;
a data comparison unit for comparing the sharpness evaluation value with a preset sharpness value;
the definition adjusting unit is used for judging that the collected snow images are unqualified if the definition evaluation value is smaller than the preset definition value, and determining the breadth size and the resolution parameter of the intermediate-frequency image;
the definition adjusting unit is further configured to perform definition emphasis processing on each pixel point of the intermediate-frequency image based on the breadth size and the resolution parameter of the intermediate-frequency image to obtain a standard intermediate-frequency image;
the snow depth determining unit is used for acquiring a calibration rod image before accumulated snow is preset and determining the proportional relation between the length of a calibration rod in the calibration rod image and the actual length, wherein the calibration rod is provided with a first position calibration mark;
the snow depth determining unit is further configured to determine a height value of the current calibration rod in the intermediate-frequency image, which is submerged by snow, to obtain a second position calibration mark;
the snow depth determining unit is further used for obtaining the snow depth measured by the calibration rod in the intermediate frequency image based on the first position calibration mark and the second position calibration mark, and carrying out scaling on the snow depth measured by the calibration rod in the intermediate frequency image based on the proportional relation between the length of the calibration rod in the calibration rod image and the actual length to obtain the actual depth of the snow on the photovoltaic component of the photovoltaic ceiling of the expressway.
Preferably, the intelligent snow-removing expressway photovoltaic ceiling system comprises a snow depth determining unit:
the accumulated snow depth acquiring unit is used for acquiring the actual depth of accumulated snow on a photovoltaic assembly of the highway photovoltaic ceiling;
the traffic control unit is used for judging whether the highway needs to be subjected to traffic limitation or not based on the actual depth of the accumulated snow on the basis of the control terminal;
if the traffic limitation is required to be carried out on the expressway, the control terminal determines the time length required for eliminating the accumulated snow corresponding to the current accumulated snow depth based on a preset analysis method, and sends a traffic limitation reminding signal to the intelligent driver terminal and removes the time of the traffic limitation based on a preset wireless communication mode;
the data recording unit is used for recording and storing date information corresponding to the traffic restriction and the time for releasing the traffic restriction;
otherwise, the control terminal matches the corresponding target snow removal mode to perform snow removal operation based on the actual depth of the current accumulated snow
Preferably, a highway photovoltaic ceiling system of intelligence snow removing, snow volume comparison module includes:
the snow depth comparing unit is used for acquiring the current snow depth on the photovoltaic assembly and comparing the current snow depth with a preset snow depth;
if the current snow depth on the photovoltaic module is smaller than the preset snow depth, judging that a first target snow removing mode is adopted for snow removing operation;
and if the current snow depth on the photovoltaic module is larger than or equal to the preset snow depth, judging to adopt a second target snow removing mode to carry out snow removing operation.
Preferably, a highway photovoltaic ceiling system of intelligence snow removing, intelligence snow removing module includes:
the snow removal mode acquisition unit is used for acquiring a target snow removal mode corresponding to snow accumulated on a photovoltaic assembly of a photovoltaic ceiling of the highway, wherein the target snow removal mode is one of a first target snow removal mode or a second target snow removal mode;
the intelligent snow removing system comprises a first intelligent snow removing unit, a second intelligent snow removing unit and a control unit, wherein the first intelligent snow removing unit is used for acquiring an included angle value formed between a current sunlight ray and a photovoltaic module of a photovoltaic ceiling based on a preset angle sensor when the target snow removing mode is the first target snow removing mode;
the angle correction unit is used for comparing the included angle value with a preset included angle value, and if the included angle value is not equal to the preset included angle value, adjusting the inclination angle of the photovoltaic component of the photovoltaic ceiling to enable the included angle value formed between the photovoltaic component of the photovoltaic ceiling and the current sunlight ray to be equal to the preset included angle value;
the heat providing unit is used for obtaining first heat generated by power generation of a photovoltaic module after the inclination angle of the photovoltaic module of the photovoltaic ceiling is adjusted, and performing first snow removing operation on accumulated snow on the photovoltaic module of the highway photovoltaic ceiling based on the first heat and front irradiation of sunlight rays;
the second intelligent snow removing unit is used for carrying out first power supply on a direct current heating device preset in a gutter in the photovoltaic assembly based on a preset converter when the target snow removing mode is a second target snow removing mode, acquiring second heat generated by the power supply, and carrying out snow removing operation on accumulated snow in the gutter based on the second heat;
the second intelligent snow removing unit is further used for obtaining snow removing results of accumulated snow in the gutter, controlling a preset energy storage device to reversely supply power to the photovoltaic module based on a preset photovoltaic controller after the accumulated snow in the gutter is completely melted and led out, and obtaining third heat generated by the reverse power supply, wherein the photovoltaic module is reversely supplied power based on the preset energy storage device;
the second intelligent snow removing unit is further used for removing snow on the photovoltaic assembly based on the third heat, so that the snow on the photovoltaic assembly slides into the gutter;
the second intelligent snow removing unit is further used for controlling the preset energy storage device to supply power for the second direct current heating device preset in the gutter in the photovoltaic module based on the preset converter, acquiring fourth heat generated by power supply, and removing snow on snow accumulated in the gutter after sliding down based on the fourth heat.
Preferably, the highway photovoltaic ceiling system of intelligence snow removing, angle correction unit includes:
the attitude initialization unit is used for initializing the attitude of the photovoltaic assembly to be the attitude with the maximum output voltage and shooting an image containing the sun based on a camera preset on the photovoltaic assembly;
the sun position determining unit is used for carrying out binarization processing on the image containing the sun to obtain a binarized image, wherein the binarized image contains a plurality of bright pixel points;
the sun position determining unit is further configured to cluster the bright pixel points to obtain a plurality of brightness regions communicated by the bright pixel points, and determine a brightness region with a largest area among the brightness regions;
the sun position determining unit is further configured to determine a central position of the brightness region with the largest area, where the central position is a sun position;
the angle deviation value determining unit is used for acquiring real-time angle data of the photovoltaic module based on a preset data acquisition device, and determining a real-time angle deviation value between the current attitude and the attitude opposite to the sun of the photovoltaic module based on the real-time angle data of the photovoltaic module and the position of the sun;
the angle adjusting unit is used for controlling a preset driving device to adjust the current posture of the photovoltaic assembly based on the real-time angle deviation value so as to obtain a target posture corresponding to the photovoltaic assembly;
the output power detection unit is used for acquiring the output voltage of the photovoltaic module in real time based on the target posture and comparing the output voltage with a preset threshold value;
if the output voltage is smaller than the preset threshold, judging that the posture of the photovoltaic assembly is unqualified to be adjusted, and finely adjusting the target posture corresponding to the photovoltaic assembly until the output voltage is larger than or equal to the preset threshold;
otherwise, judging that the posture adjustment of the photovoltaic assembly is qualified.
Preferably, a highway photovoltaic ceiling system of intelligence snow removing, second intelligence snow removing unit includes:
the power determining unit is used for acquiring power supply power when a preset energy storage device is controlled to reversely supply power to the photovoltaic module based on a preset photovoltaic controller, and determining an internal resistance value in the reverse power supply process;
the heat calculation unit is used for acquiring the reverse power supply duration and determining a third heat value generated by the reverse power supply based on the power supply power and the internal resistance value in the reverse power supply process;
the heat quantity comparison unit is used for comparing the third heat quantity value with a preset heat quantity threshold value;
if the third heat value is larger than or equal to the preset heat threshold value, judging that the third heat generated by the reverse power supply is qualified, and judging that snow removal operation on accumulated snow can be realized by combining with sunlight;
otherwise, judging that the third heat generated by the reverse power supply is unqualified.
Preferably, highway photovoltaic ceiling system of intelligence snow removing, second intelligence snow removing unit still includes:
the information acquisition unit is used for acquiring the melting speed of the accumulated snow on the photovoltaic module and comparing the melting speed with a preset melting speed;
the snow removal measure adjusting unit is used for sending a first alarm prompt to the monitoring terminal and sending a power supply power adjusting instruction for performing reverse power supply on the photovoltaic module when the melting speed is smaller than the preset melting speed;
the monitoring terminal is used for adjusting the output voltage of the preset energy storage device based on the power supply power adjustment instruction until the melting speed is greater than or equal to the preset melting speed;
and the monitoring terminal is also used for monitoring the melting condition of the accumulated snow on the photovoltaic module in real time when the melting speed is greater than or equal to the preset melting speed, and recording and storing the melting condition.
Preferably, highway photovoltaic ceiling system of intelligence snow removing, monitor terminal includes:
the voltage monitoring unit is used for acquiring output voltage of the preset energy storage device adjusted based on the power supply power adjustment instruction and comparing the output voltage with rated voltage of the preset energy storage device;
if the output voltage is smaller than or equal to the rated voltage of a preset energy storage device, judging that the output voltage of the preset energy storage device is within an adjustable range, and performing reverse power supply operation on the photovoltaic module based on the output voltage;
otherwise, judging that the preset energy storage device is overloaded, and sending second alarm information to the monitoring terminal;
and the monitoring terminal is used for matching a corresponding target solution from preset problem solutions based on the second alarm information and performing snow removing intervention operation on the accumulated snow on the photovoltaic module based on the target solution.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of an intelligent snow removal highway photovoltaic ceiling system in an embodiment of the present invention;
FIG. 2 is a first block diagram of a snow statistics module for intelligent snow removal in an embodiment of the present invention;
fig. 3 is a second structural diagram of a snow amount statistic module for intelligent snow removal in the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, as shown in fig. 1, includes:
the snow quantity counting module is used for collecting snow images on a photovoltaic module of a highway photovoltaic ceiling based on a preset camera and analyzing to obtain the current snow depth on the photovoltaic module;
the snow quantity comparison module is used for comparing the current snow depth on the photovoltaic module with a preset snow depth and matching a target snow removal mode based on a comparison result;
and the intelligent snow removing module is used for removing snow on the accumulated snow on the photovoltaic assembly of the photovoltaic ceiling of the expressway based on the target snow removing mode.
In the embodiment, the preset camera is arranged on the photovoltaic module in advance and is used for collecting image information of accumulated snow on the photovoltaic module.
In this embodiment, the preset snow depth is set in advance, and is manually adjustable, and is used for determining a standard for adopting a snow removal mode.
In this embodiment, the target snow removal mode may be that accumulated snow on the surface of the photovoltaic module is timely melted and slipped down by heat generated by front illumination and back reflection power generation of the photovoltaic module; or in snowy weather, sunlight cannot penetrate through accumulated snow covered on the photovoltaic assembly, heat generated by back reflection light is not enough to enable the attached accumulated snow to be stripped from the photovoltaic assembly, the DC/DC converter system supplies power to the direct current heating device pre-arranged in the gutter, the accumulated snow in the gutter is melted and guided out of the gutter, meanwhile, the photovoltaic controller supplies power to the photovoltaic assembly reversely to generate heat, the accumulated snow slides to the gutter from the inclined photovoltaic assembly, and the accumulated snow is melted into water and guided into one of two sides of the highway under the action of the direct current heating device in the gutter.
The beneficial effects of the above technical scheme are: snow removing operation is carried out to the snow on the photovoltaic ceiling through different snow removing modes, has improved snow removing efficiency, has reduced the snow removing cost, has saved a large amount of manpower resources.
Example 2:
on the basis of the above embodiment 1, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, as shown in fig. 2, the snow volume statistics module includes:
the angle adjusting unit is used for controlling the preset camera to carry out first image acquisition on the accumulated snow on the photovoltaic module of the highway photovoltaic ceiling based on an image acquisition instruction sent by the control terminal to obtain a first acquired image;
the angle adjusting unit is further used for judging whether the accumulated snow area in the first collected image is located in a preset area of the first collected image;
the angle adjusting unit is further configured to determine current position information of the snow area in the first collected image and position information of a preset area when the snow area is not in the preset area, and adjust an angle of the preset camera based on the snow area and the position information of the preset area;
and the image acquisition unit is used for controlling the preset camera to carry out second image acquisition on the accumulated snow on the photovoltaic component of the highway photovoltaic ceiling according to the adjusted angle to obtain a second acquired image, wherein the second acquired image is used for carrying out image acquisition on the accumulated snow on the photovoltaic component of the highway photovoltaic ceiling through a plurality of angles.
In this embodiment, the first collected image refers to an image obtained by collecting snow on the photovoltaic assembly before the preset camera adjusts the angle, and a reference is provided for adjusting the preset camera angle.
In this embodiment, the preset region is set in advance, and may be, for example, a central region of the captured image.
In this embodiment, the current position information refers to a current position of the snow area in the first captured image, and the determination is performed by placing the first captured image in a rectangular coordinate system when determining the position.
In this embodiment, the position information of the preset region refers to position coordinates of the set region in the first captured image.
In this embodiment, the second collected image refers to an image obtained by photographing after adjusting the angle of the preset camera, and the snow area is located in the preset area of the second collected image.
The beneficial effects of the above technical scheme are: gather the image of last snow of photovoltaic module through presetting the camera to adjust the snow region to in presetting the region, be convenient for carry out accurate analysis to the degree of depth of snow, thereby select out the snow removing mode that corresponds, be convenient for improve snow removing efficiency.
Example 3:
on the basis of the foregoing embodiment 1, this embodiment provides an intelligent snow removal expressway photovoltaic ceiling system, as shown in fig. 3, the snow amount statistics module further includes:
the system comprises an image acquisition unit, a storage unit and a control unit, wherein the image acquisition unit is used for acquiring an acquired snow cover image on a photovoltaic assembly of a photovoltaic ceiling of the expressway and extracting an effective area image in the snow cover image, the effective area image is an area comprising snow cover characteristic information, and the effective area image comprises a preset calibration rod;
the image processing unit is used for filtering the effective area image based on preset low-pass filters with different filter coefficients to obtain filter images corresponding to the different filter coefficients;
the image processing unit is further configured to determine an intermediate-frequency image corresponding to the effective area image based on the filtered image corresponding to the different filter coefficients and the effective area image, where the intermediate-frequency image is an image including intermediate-frequency information of the effective image;
the image processing unit is further configured to remove background noise of the intermediate-frequency image based on a preset denoising method, determine a target gradient of each pixel in the intermediate-frequency image, and determine a sharpness evaluation value of the intermediate-frequency image based on the target gradient of each pixel and a preset weight corresponding to each pixel;
a data comparison unit for comparing the sharpness evaluation value with a preset sharpness value;
the definition adjusting unit is used for judging that the collected snow images are unqualified if the definition evaluation value is smaller than the preset definition value, and determining the breadth size and the resolution parameter of the intermediate-frequency image;
the definition adjusting unit is further configured to perform definition emphasis processing on each pixel point of the intermediate-frequency image based on the breadth size and the resolution parameter of the intermediate-frequency image to obtain a standard intermediate-frequency image;
the snow depth determining unit is used for acquiring a calibration rod image before accumulated snow is preset and determining the proportional relation between the length of a calibration rod in the calibration rod image and the actual length, wherein the calibration rod is provided with a first position calibration mark;
the snow depth determining unit is further configured to determine a height value of the current calibration rod in the intermediate-frequency image, which is submerged by snow, to obtain a second position calibration mark;
the snow depth determining unit is further used for obtaining the snow depth measured by the calibration rod in the intermediate frequency image based on the first position calibration mark and the second position calibration mark, and carrying out scaling on the snow depth measured by the calibration rod in the intermediate frequency image based on the proportional relation between the length of the calibration rod in the calibration rod image and the actual length to obtain the actual depth of the snow on the photovoltaic component of the photovoltaic ceiling of the expressway.
In this embodiment, the effective area image refers to an image area that can be used for determining the depth of snow in the acquired image, for example, the acquired image includes a snow area, sky, and the like, where the snow area is an effective area image.
In this embodiment, the region of snow characteristic information refers to a thickness or a coverage area or the like that can clearly indicate the presence of snow.
In the embodiment, the preset calibration rod is set on the photovoltaic module in advance, the collected image needs to contain the preset calibration rod, and the calibration rod is used for measuring the depth of accumulated snow on the photovoltaic module.
In this embodiment, different preset filter coefficients are set in advance, and different low-pass filters are used to perform filtering processing on the acquired image, and different filter coefficients can be changed manually.
In this embodiment, filtering the image refers to filtering the acquired image to different degrees to obtain a final image that meets the requirement.
In this embodiment, the preset denoising method is set in advance, is used for removing noise in the intermediate frequency image, and is performed by denoising through the prior art.
In this embodiment, the target gradient refers to a gray scale variation degree value of each pixel point in the image.
In this embodiment, the preset weight is set in advance, and is used for measuring the importance level value of each pixel in the acquired image.
In this embodiment, the sharpness evaluation value is a parameter for evaluating the sharpness of an image.
In this embodiment, the preset sharpness value is set in advance, and is used to measure whether the processed sharpness meets the expected requirement.
In this embodiment, the first position marking means a corresponding initial position without snow.
In this embodiment, the second position-marking index refers to the position of the marking rod that is currently reached by the snow surface when measuring the thickness of the snow.
The beneficial effects of the above technical scheme are: through handling the image of gathering, it is enough clear to ensure the image of gathering, has improved the rate of accuracy of confirming the snow depth, and the distance difference between the final mark signal of the processing position several numbers that simultaneously through the measurement of calibration pole to accurately obtain the actual thickness of snow depth through the conversion relation, improved the accuracy of snow depth confirming, be convenient for simultaneously according to the snow depth confirm the snow removing mode that corresponds, improved snow removing efficiency.
Example 4:
on the basis of the above embodiment 3, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and snow depth determination unit includes:
the accumulated snow depth acquiring unit is used for acquiring the actual depth of accumulated snow on a photovoltaic assembly of the highway photovoltaic ceiling;
the traffic control unit is used for judging whether the highway needs to be subjected to traffic limitation or not based on the actual depth of the accumulated snow on the basis of the control terminal;
if the traffic limitation is required to be carried out on the expressway, the control terminal determines the time length required for eliminating the accumulated snow corresponding to the current accumulated snow depth based on a preset analysis method, and sends a traffic limitation reminding signal to the intelligent driver terminal and removes the time of the traffic limitation based on a preset wireless communication mode;
the data recording unit is used for recording and storing date information corresponding to the traffic restriction and the time for releasing the traffic restriction;
otherwise, the control terminal matches the corresponding target snow removal mode to perform snow removal operation based on the actual depth of the current accumulated snow
In this embodiment, the preset analysis method is set in advance, and is used to determine whether the current product depth affects the driving of the vehicle on the expressway and the severity value of the impact.
In this embodiment, the preset wireless communication method is set in advance, and for example, the preset wireless communication method may be a broadcast notification to a vehicle-mounted broadcast by a satellite, or may be a mobile phone terminal that transmits information to a driver.
The beneficial effects of the above technical scheme are: whether the actual depth information of the current accumulated snow can influence the driving of vehicles on the expressway or not is judged, and when the influence is caused, traffic control is carried out on the expressway, the accumulated snow on the photovoltaic assembly is convenient to safely and effectively snow removing operation, and the driving safety of drivers on the expressway is improved.
Example 5:
on the basis of the above embodiment 1, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and snow volume comparison module includes:
the snow depth comparing unit is used for acquiring the current snow depth on the photovoltaic assembly and comparing the current snow depth with a preset snow depth;
if the current snow depth on the photovoltaic module is smaller than the preset snow depth, judging that a first target snow removing mode is adopted for snow removing operation;
and if the current snow depth on the photovoltaic module is larger than or equal to the preset snow depth, judging to adopt a second target snow removing mode to carry out snow removing operation.
In this embodiment, the preset snow depth is set in advance, and can be adjusted appropriately according to actual conditions.
In this embodiment, the first target snow removal mode refers to that the accumulated snow on the surface of the photovoltaic module is timely melted and slipped off due to heat generated by front illumination and back reflection power generation of the photovoltaic module.
In this embodiment, the second target snow removal mode refers to when in a snowy weather, sunlight cannot pass through snow covered on the photovoltaic module, heat generated by back reflection light is not enough to peel off the attached snow from the photovoltaic module, the DC electric heating device pre-installed in the gutter is powered through the DC/DC converter system, so that the snow in the gutter is melted and guided out of the gutter, and meanwhile, the photovoltaic controller is used for generating heat through back power supply of the photovoltaic module, so that the snow slides to the gutter from the inclined photovoltaic module, and the snow is melted into water and guided into two sides of the highway under the action of the DC electric heating device in the gutter.
The beneficial effects of the above technical scheme are: the corresponding snow removal mode is determined through the snow depth, the pertinence of snow removal is facilitated, the snow removal efficiency is improved, the snow removal cost is reduced, and a large amount of manpower and material resources are saved.
Example 6:
on the basis of above-mentioned embodiment 1, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and intelligence snow removing module includes:
the snow removal mode acquisition unit is used for acquiring a target snow removal mode corresponding to snow accumulated on a photovoltaic assembly of a photovoltaic ceiling of the highway, wherein the target snow removal mode is one of a first target snow removal mode or a second target snow removal mode;
the intelligent snow removing system comprises a first intelligent snow removing unit, a second intelligent snow removing unit and a control unit, wherein the first intelligent snow removing unit is used for acquiring an included angle value formed between a current sunlight ray and a photovoltaic module of a photovoltaic ceiling based on a preset angle sensor when the target snow removing mode is the first target snow removing mode;
the angle correction unit is used for comparing the included angle value with a preset included angle value, and if the included angle value is not equal to the preset included angle value, adjusting the inclination angle of the photovoltaic component of the photovoltaic ceiling to enable the included angle value formed between the photovoltaic component of the photovoltaic ceiling and the current sunlight ray to be equal to the preset included angle value;
the heat providing unit is used for obtaining first heat generated by power generation of a photovoltaic module after the inclination angle of the photovoltaic module of the photovoltaic ceiling is adjusted, and performing first snow removing operation on accumulated snow on the photovoltaic module of the highway photovoltaic ceiling based on the first heat and front irradiation of sunlight rays;
the second intelligent snow removing unit is used for carrying out first power supply on a direct current heating device preset in a gutter in the photovoltaic assembly based on a preset converter when the target snow removing mode is a second target snow removing mode, acquiring second heat generated by the power supply, and carrying out snow removing operation on accumulated snow in the gutter based on the second heat;
the second intelligent snow removing unit is further used for obtaining snow removing results of accumulated snow in the gutter, controlling a preset energy storage device to reversely supply power to the photovoltaic module based on a preset photovoltaic controller after the accumulated snow in the gutter is completely melted and led out, and obtaining third heat generated by the reverse power supply, wherein the photovoltaic module is reversely supplied power based on the preset energy storage device;
the second intelligent snow removing unit is further used for removing snow on the photovoltaic assembly based on the third heat, so that the snow on the photovoltaic assembly slides into the gutter;
the second intelligent snow removing unit is further used for controlling the preset energy storage device to supply power for the second direct current heating device preset in the gutter in the photovoltaic module based on the preset converter, acquiring fourth heat generated by power supply, and removing snow on snow accumulated in the gutter after sliding down based on the fourth heat.
In this embodiment, the preset angle sensor is set in advance and is used for determining an included angle value between the photovoltaic module and the sunlight ray.
In this embodiment, the predetermined included angle value is set in advance, and the included angle between the sunlight ray and the photovoltaic module should reach 90 degrees.
In this embodiment, the preset converter is set in advance and is used for switching a power supply mode, wherein the power supply mode is to supply power to the preset energy storage device through photovoltaic power generation and supply power to the photovoltaic module through the preset energy storage device.
In the embodiment, the preset direct current heating device is set in advance, is arranged in the water guide channel and is used for melting the accumulated snow in the water guide channel, and convenience is provided for melting the accumulated snow on the photovoltaic assembly.
In this embodiment, it predetermines photovoltaic controller control and predetermines energy memory right photovoltaic module carries out the anti-power supply when the temperature that the solar ray provided and the heat that the photoelectricity produced are not enough to melt snow, switches the power supply mode through predetermineeing photovoltaic controller, promptly through predetermineeing energy memory and carry out the anti-power supply to photovoltaic module, carries out snow removing operation through the heat energy that the anti-power supply produced and the heat that the solar ray provided.
The beneficial effects of the above technical scheme are: carry out corresponding snow removing operation to different snow depths through adopting different snow removing modes, be convenient for improve snow removing efficiency, reduced the consumption of snow removing cost and manpower and materials simultaneously.
Example 7:
on the basis of the above embodiment 6, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and the angle correction unit includes:
the attitude initialization unit is used for initializing the attitude of the photovoltaic assembly to be the attitude with the maximum output voltage and shooting an image containing the sun based on a camera preset on the photovoltaic assembly;
the sun position determining unit is used for carrying out binarization processing on the image containing the sun to obtain a binarized image, wherein the binarized image contains a plurality of bright pixel points;
the sun position determining unit is further configured to cluster the bright pixel points to obtain a plurality of brightness regions communicated by the bright pixel points, and determine a brightness region with a largest area among the brightness regions;
the sun position determining unit is further configured to determine a central position of the brightness region with the largest area, where the central position is a sun position;
the angle deviation value determining unit is used for acquiring real-time angle data of the photovoltaic module based on a preset data acquisition device, and determining a real-time angle deviation value between the current attitude and the attitude opposite to the sun of the photovoltaic module based on the real-time angle data of the photovoltaic module and the position of the sun;
the angle adjusting unit is used for controlling a preset driving device to adjust the current posture of the photovoltaic assembly based on the real-time angle deviation value so as to obtain a target posture corresponding to the photovoltaic assembly;
the output power detection unit is used for acquiring the output voltage of the photovoltaic module in real time based on the target posture and comparing the output voltage with a preset threshold value;
if the output voltage is smaller than the preset threshold, judging that the posture of the photovoltaic assembly is unqualified to be adjusted, and finely adjusting the target posture corresponding to the photovoltaic assembly until the output voltage is larger than or equal to the preset threshold;
otherwise, judging that the posture adjustment of the photovoltaic assembly is qualified.
In this embodiment, the binarization processing refers to processing an image containing the sun into an image of only two colors of black and white.
In this embodiment, the luminance areas where the bright pixel points are communicated refer to the pixel points with higher luminance under the influence of the sunlight and only including black and white colors in the image after the image including the sun is subjected to binarization processing.
In this embodiment, the preset data acquisition device is set in advance and is used for acquiring real-time angle data of the photovoltaic module.
In this embodiment, the real-time angle deviation value refers to a difference between a current angle between the photovoltaic device and the solar ray and an angle between the photovoltaic device and the solar ray when the photovoltaic device is perpendicular to the solar ray.
In this embodiment, it is well set for in advance to predetermine drive arrangement, can be motor etc. for drive photovoltaic module carries out the adjustment of gradient.
In this embodiment, the target posture refers to posture information corresponding to the photovoltaic module when the current inclination angle of the photovoltaic module is adjusted to make the photovoltaic module perpendicular to the solar ray.
In this embodiment, the preset threshold is set in advance, and is used to measure whether the output voltage of the adjusted photovoltaic module reaches the maximum value when the photovoltaic module depends on light for power generation.
The beneficial effects of the above technical scheme are: through obtaining the image that contains the sun, and handle, confirm the angle value that sun and photovoltaic module formed and the real-time deviation value of predetermineeing the angle value, accomplish the adjustment to photovoltaic module, it is perpendicular to make photovoltaic module and sunlight be, whether the voltage value through detecting electricity generation output is the biggest simultaneously, accomplish the final adjustment to photovoltaic module gradient, ensure that light assists the subassembly and can receive the direct projection of sunlight as far as when generating electricity, improve the generating power, thereby produce more heat and be used for snow removing operation, the efficiency of snow removing has been improved.
Example 8:
on the basis of above-mentioned embodiment 6, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and second intelligence snow removing unit includes:
the power determining unit is used for acquiring power supply power when a preset energy storage device is controlled to reversely supply power to the photovoltaic module based on a preset photovoltaic controller, and determining an internal resistance value in the reverse power supply process;
the heat calculation unit is used for acquiring the reverse power supply duration and determining a third heat value generated by the reverse power supply based on the power supply power and the internal resistance value in the reverse power supply process;
the heat quantity comparison unit is used for comparing the third heat quantity value with a preset heat quantity threshold value;
if the third heat value is larger than or equal to the preset heat threshold value, judging that the third heat generated by the reverse power supply is qualified, and judging that snow removal operation on accumulated snow can be realized by combining with sunlight;
otherwise, judging that the third heat generated by the reverse power supply is unqualified.
In this embodiment, the internal resistance value refers to the sum of internal resistance values existing in the photovoltaic module and each electronic device in the preset energy storage device, and the internal resistance value can be directly obtained according to an internal resistance table of an electronic instrument.
In this embodiment, the preset heat threshold is set in advance, and is used for measuring whether the heat generated by the reverse power supply can successfully melt the accumulated snow or not, and is obtained through multiple training.
The beneficial effects of the above technical scheme are: by obtaining the power supply power and the internal resistance value of the reverse power supply, the heat value generated in the reverse power supply process can be conveniently and accurately calculated, so that whether the accumulated snow can be successfully melted or not can be conveniently and accurately judged, and the accumulated snow melting efficiency is improved.
Example 9:
on the basis of above-mentioned embodiment 6, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and second intelligence snow removing unit still includes:
the information acquisition unit is used for acquiring the melting speed of the accumulated snow on the photovoltaic module and comparing the melting speed with a preset melting speed;
the snow removal measure adjusting unit is used for sending a first alarm prompt to the monitoring terminal and sending a power supply power adjusting instruction for performing reverse power supply on the photovoltaic module when the melting speed is smaller than the preset melting speed;
the monitoring terminal is used for adjusting the output voltage of the preset energy storage device based on the power supply power adjustment instruction until the melting speed is greater than or equal to the preset melting speed;
and the monitoring terminal is also used for monitoring the melting condition of the accumulated snow on the photovoltaic module in real time when the melting speed is greater than or equal to the preset melting speed, and recording and storing the melting condition.
In this embodiment, the preset melting speed is set in advance to measure whether the melting speed of the current accumulated snow reaches the expected requirement, wherein the preset melting speed is not fixed and can be modified manually.
In this embodiment, the preset energy storage device is arranged on the back of the photovoltaic module in advance and is used for performing reverse power supply operation on the photovoltaic module.
The beneficial effects of the above technical scheme are: by monitoring the melting speed of the accumulated snow, the melting condition of the accumulated snow can be mastered in real time, and the melting speed of the accumulated snow is improved.
Example 10:
on the basis of above-mentioned embodiment 9, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, monitor terminal includes:
the voltage monitoring unit is used for acquiring output voltage of the preset energy storage device adjusted based on the power supply power adjustment instruction and comparing the output voltage with rated voltage of the preset energy storage device;
if the output voltage is smaller than or equal to the rated voltage of a preset energy storage device, judging that the output voltage of the preset energy storage device is within an adjustable range, and performing reverse power supply operation on the photovoltaic module based on the output voltage;
otherwise, judging that the preset energy storage device is overloaded, and sending second alarm information to the monitoring terminal;
and the monitoring terminal is used for matching a corresponding target solution from preset problem solutions based on the second alarm information and performing snow removing intervention operation on the accumulated snow on the photovoltaic module based on the target solution.
In this embodiment, the solution to the predetermined problem is planned in advance, and is used to perform alternative snow removing operation when the heat generated by sunlight and reverse power supply is not enough to melt snow, for example, the snow melting speed may be increased by means of salt spreading and the like.
The beneficial effects of the above technical scheme are: through the output voltage of the preset energy storage device of real-time detection, when the melting speed is still slower after the output voltage of the preset energy storage device reaches the rated voltage, the corresponding solution is matched to intervene in snow removal operation, so that the snow removal efficiency is improved, and the snow removal operation is conveniently and quickly completed.
Example 11:
on the basis of above-mentioned embodiment 1, this embodiment provides a highway photovoltaic ceiling system of intelligence snow removing, and snow volume statistics module includes:
snow volume statistics unit for obtain the analysis and obtain the snow degree of depth on the photovoltaic module, and according to the snow degree of depth confirms actual snow volume on the photovoltaic module, simultaneously according to when snow volume calculation adopts and presets energy memory and carry out the reverse power supply, to the thermal utilization ratio of reverse power supply production, concrete step includes:
a first calculating unit, configured to calculate an actual snow accumulation amount on the photovoltaic module according to the following formula:
Q=(1-δ)*α*β*h;
wherein Q represents the actual amount of snow on the photovoltaic module; delta represents an error factor, and the value range is (0.05, 0.15); h represents the snow depth on the photovoltaic module; β represents a length value of the photovoltaic module; a represents a width value of the photovoltaic module;
the second calculating unit is used for calculating the utilization rate of heat generated by reverse power supply when the preset energy storage device is adopted for reverse power supply according to the following formula:
Figure BDA0003238782460000201
wherein eta represents the utilization rate of heat generated by reverse power supply, and the value range is (0, 1); c represents the specific heat capacity of the accumulated snow; ρ represents the density value of the accumulated snow; q represents the actual amount of snow on the photovoltaic module; t represents a corresponding temperature value when snow on the photovoltaic module begins to melt; t is t0Expressing a corresponding temperature value when the accumulated snow on the photovoltaic module is not melted; i represents a power supply current value when a preset energy storage device is adopted for reverse power supply; r represents the internal resistance value of the preset energy storage device when the preset energy storage device is adopted for reverse power supply; t represents the time length value of the reverse power supply;
the heat utilization ratio comparison unit is used for comparing the calculated heat utilization ratio with a preset utilization ratio;
if the calculated utilization rate of the heat is larger than or equal to the preset utilization rate, judging that the utilization rate of the heat generated by reverse power supply is qualified when reverse power supply is performed by adopting a preset energy storage device;
otherwise, when the preset energy storage device is adopted for reverse power supply, the utilization rate of heat generated by the reverse power supply is unqualified, an alternative intervention scheme is matched from a preset snow removal scheme library, snow on the photovoltaic module is intervened and removed based on the alternative intervention scheme, and the snow melting speed is increased.
In this embodiment, the actual snow accumulation amount refers to a deviation of a theoretical calculation result caused by an artificial reason or a measurement error, and is an actual snow accumulation amount value obtained after being affected by the deviation.
In this embodiment, the internal resistance value can be directly obtained by looking up the internal resistance table.
In this embodiment, the preset utilization rate is set in advance, and is used for measuring the utilization condition of the accumulated snow on the photovoltaic module to the generated heat when the accumulated snow is melted.
The beneficial effects of the above technical scheme are: through calculating the snow accumulation volume to when snow melts to photovoltaic module according to the snow accumulation volume calculation, to the thermal utilization ratio of reverse power supply production, can in time judge whether snow on the photovoltaic module can reach and predetermine snow removing speed requirement according to the size of utilization ratio, and be convenient for adjust snow removing mode when can not reach and predetermine the requirement, thereby improve snow removing effect and snow removing efficiency.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. The utility model provides a highway photovoltaic ceiling system of intelligence snow removing which characterized in that includes:
the snow quantity counting module is used for collecting snow images on a photovoltaic module of a highway photovoltaic ceiling based on a preset camera and analyzing to obtain the current snow depth on the photovoltaic module;
the snow quantity comparison module is used for comparing the current snow depth on the photovoltaic module with a preset snow depth and matching a target snow removal mode based on a comparison result;
and the intelligent snow removing module is used for removing snow on the accumulated snow on the photovoltaic assembly of the photovoltaic ceiling of the expressway based on the target snow removing mode.
2. The intelligent snow-removing highway photovoltaic ceiling system according to claim 1 wherein the snow statistics module comprises:
the angle adjusting unit is used for controlling the preset camera to carry out first image acquisition on the accumulated snow on the photovoltaic module of the highway photovoltaic ceiling based on an image acquisition instruction sent by the control terminal to obtain a first acquired image;
the angle adjusting unit is further used for judging whether the accumulated snow area in the first collected image is located in a preset area of the first collected image;
the angle adjusting unit is further configured to determine current position information of the snow area in the first collected image and position information of a preset area when the snow area is not in the preset area, and adjust an angle of the preset camera based on the snow area and the position information of the preset area;
and the image acquisition unit is used for controlling the preset camera to carry out second image acquisition on the accumulated snow on the photovoltaic component of the highway photovoltaic ceiling according to the adjusted angle to obtain a second acquired image, wherein the second acquired image is used for carrying out image acquisition on the accumulated snow on the photovoltaic component of the highway photovoltaic ceiling through a plurality of angles.
3. The intelligent snow-removing highway photovoltaic ceiling system according to claim 1, wherein the snow quantity statistics module further comprises:
the system comprises an image acquisition unit, a storage unit and a control unit, wherein the image acquisition unit is used for acquiring an acquired snow cover image on a photovoltaic assembly of a photovoltaic ceiling of the expressway and extracting an effective area image in the snow cover image, the effective area image is an area comprising snow cover characteristic information, and the effective area image comprises a preset calibration rod;
the image processing unit is used for filtering the effective area image based on preset low-pass filters with different filter coefficients to obtain filter images corresponding to the different filter coefficients;
the image processing unit is further configured to determine an intermediate-frequency image corresponding to the effective area image based on the filtered image corresponding to the different filter coefficients and the effective area image, where the intermediate-frequency image is an image including intermediate-frequency information of the effective image;
the image processing unit is further configured to remove background noise of the intermediate-frequency image based on a preset denoising method, determine a target gradient of each pixel in the intermediate-frequency image, and determine a sharpness evaluation value of the intermediate-frequency image based on the target gradient of each pixel and a preset weight corresponding to each pixel;
a data comparison unit for comparing the sharpness evaluation value with a preset sharpness value;
the definition adjusting unit is used for judging that the collected snow images are unqualified if the definition evaluation value is smaller than the preset definition value, and determining the breadth size and the resolution parameter of the intermediate-frequency image;
the definition adjusting unit is further configured to perform definition emphasis processing on each pixel point of the intermediate-frequency image based on the breadth size and the resolution parameter of the intermediate-frequency image to obtain a standard intermediate-frequency image;
the snow depth determining unit is used for acquiring a calibration rod image before accumulated snow is preset and determining the proportional relation between the length of a calibration rod in the calibration rod image and the actual length, wherein the calibration rod is provided with a first position calibration mark;
the snow depth determining unit is further configured to determine a height value of the current calibration rod in the intermediate-frequency image, which is submerged by snow, to obtain a second position calibration mark;
the snow depth determining unit is further used for obtaining the snow depth measured by the calibration rod in the intermediate frequency image based on the first position calibration mark and the second position calibration mark, and carrying out scaling on the snow depth measured by the calibration rod in the intermediate frequency image based on the proportional relation between the length of the calibration rod in the calibration rod image and the actual length to obtain the actual depth of the snow on the photovoltaic component of the photovoltaic ceiling of the expressway.
4. The intelligent snow-removing highway photovoltaic ceiling system according to claim 3 wherein the snow depth determining unit comprises:
the accumulated snow depth acquiring unit is used for acquiring the actual depth of accumulated snow on a photovoltaic assembly of the highway photovoltaic ceiling;
the traffic control unit is used for judging whether the highway needs to be subjected to traffic limitation or not based on the actual depth of the accumulated snow on the basis of the control terminal;
if the traffic limitation is required to be carried out on the expressway, the control terminal determines the time length required for eliminating the accumulated snow corresponding to the current accumulated snow depth based on a preset analysis method, and sends a traffic limitation reminding signal to the intelligent driver terminal and removes the time of the traffic limitation based on a preset wireless communication mode;
the data recording unit is used for recording and storing date information corresponding to the traffic restriction and the time for releasing the traffic restriction;
otherwise, the control terminal matches the corresponding target snow removal mode to perform snow removal operation based on the actual depth of the current accumulated snow.
5. The intelligent snow-removing highway photovoltaic ceiling system according to claim 1 wherein the snow quantity comparison module comprises:
the snow depth comparing unit is used for acquiring the current snow depth on the photovoltaic assembly and comparing the current snow depth with a preset snow depth;
if the current snow depth on the photovoltaic module is smaller than the preset snow depth, judging that a first target snow removing mode is adopted for snow removing operation;
and if the current snow depth on the photovoltaic module is larger than or equal to the preset snow depth, judging to adopt a second target snow removing mode to carry out snow removing operation.
6. The intelligent snow-removing highway photovoltaic ceiling system according to claim 1 wherein intelligent snow-removing module comprises:
the snow removal mode acquisition unit is used for acquiring a target snow removal mode corresponding to snow accumulated on a photovoltaic assembly of a photovoltaic ceiling of the highway, wherein the target snow removal mode is one of a first target snow removal mode or a second target snow removal mode;
the intelligent snow removing system comprises a first intelligent snow removing unit, a second intelligent snow removing unit and a control unit, wherein the first intelligent snow removing unit is used for acquiring an included angle value formed between a current sunlight ray and a photovoltaic module of a photovoltaic ceiling based on a preset angle sensor when the target snow removing mode is the first target snow removing mode;
the angle correction unit is used for comparing the included angle value with a preset included angle value, and if the included angle value is not equal to the preset included angle value, adjusting the inclination angle of the photovoltaic component of the photovoltaic ceiling to enable the included angle value formed between the photovoltaic component of the photovoltaic ceiling and the current sunlight ray to be equal to the preset included angle value;
the heat providing unit is used for obtaining first heat generated by power generation of a photovoltaic module after the inclination angle of the photovoltaic module of the photovoltaic ceiling is adjusted, and performing first snow removing operation on accumulated snow on the photovoltaic module of the highway photovoltaic ceiling based on the first heat and front irradiation of sunlight rays;
the second intelligent snow removing unit is used for carrying out first power supply on a direct current heating device preset in a gutter in the photovoltaic assembly based on a preset converter when the target snow removing mode is a second target snow removing mode, acquiring second heat generated by the power supply, and carrying out snow removing operation on accumulated snow in the gutter based on the second heat;
the second intelligent snow removing unit is further used for obtaining snow removing results of accumulated snow in the gutter, controlling a preset energy storage device to reversely supply power to the photovoltaic module based on a preset photovoltaic controller after the accumulated snow in the gutter is completely melted and led out, and obtaining third heat generated by the reverse power supply, wherein the photovoltaic module is reversely supplied power based on the preset energy storage device;
the second intelligent snow removing unit is further used for removing snow on the photovoltaic assembly based on the third heat, so that the snow on the photovoltaic assembly slides into the gutter;
the second intelligent snow removing unit is further used for controlling the preset energy storage device to supply power for the second direct current heating device preset in the gutter in the photovoltaic module based on the preset converter, acquiring fourth heat generated by power supply, and removing snow on snow accumulated in the gutter after sliding down based on the fourth heat.
7. The intelligent snow-removing highway photovoltaic ceiling system according to claim 6 wherein the angle correction unit comprises:
the attitude initialization unit is used for initializing the attitude of the photovoltaic assembly to be the attitude with the maximum output voltage and shooting an image containing the sun based on a camera preset on the photovoltaic assembly;
the sun position determining unit is used for carrying out binarization processing on the image containing the sun to obtain a binarized image, wherein the binarized image contains a plurality of bright pixel points;
the sun position determining unit is further configured to cluster the bright pixel points to obtain a plurality of brightness regions communicated by the bright pixel points, and determine a brightness region with a largest area among the brightness regions;
the sun position determining unit is further configured to determine a central position of the brightness region with the largest area, where the central position is a sun position;
the angle deviation value determining unit is used for acquiring real-time angle data of the photovoltaic module based on a preset data acquisition device, and determining a real-time angle deviation value between the current attitude and the attitude opposite to the sun of the photovoltaic module based on the real-time angle data of the photovoltaic module and the position of the sun;
the angle adjusting unit is used for controlling a preset driving device to adjust the current posture of the photovoltaic assembly based on the real-time angle deviation value so as to obtain a target posture corresponding to the photovoltaic assembly;
the output power detection unit is used for acquiring the output voltage of the photovoltaic module in real time based on the target posture and comparing the output voltage with a preset threshold value;
if the output voltage is smaller than the preset threshold, judging that the posture of the photovoltaic assembly is unqualified to be adjusted, and finely adjusting the target posture corresponding to the photovoltaic assembly until the output voltage is larger than or equal to the preset threshold;
otherwise, judging that the posture adjustment of the photovoltaic assembly is qualified.
8. The intelligent snow-removing highway photovoltaic ceiling system according to claim 6 wherein the second intelligent snow-removing unit comprises:
the power determining unit is used for acquiring power supply power when a preset energy storage device is controlled to reversely supply power to the photovoltaic module based on a preset photovoltaic controller, and determining an internal resistance value in the reverse power supply process;
the heat calculation unit is used for acquiring the reverse power supply duration and determining a third heat value generated by the reverse power supply based on the power supply power and the internal resistance value in the reverse power supply process;
the heat quantity comparison unit is used for comparing the third heat quantity value with a preset heat quantity threshold value;
if the third heat value is larger than or equal to the preset heat threshold value, judging that the third heat generated by the reverse power supply is qualified, and judging that snow removal operation on accumulated snow can be realized by combining with sunlight;
otherwise, judging that the third heat generated by the reverse power supply is unqualified.
9. The intelligent snow-removing highway photovoltaic ceiling system according to claim 6 wherein second intelligent snow-removing unit further comprises:
the information acquisition unit is used for acquiring the melting speed of the accumulated snow on the photovoltaic module and comparing the melting speed with a preset melting speed;
the snow removal measure adjusting unit is used for sending a first alarm prompt to the monitoring terminal and sending a power supply power adjusting instruction for performing reverse power supply on the photovoltaic module when the melting speed is smaller than the preset melting speed;
the monitoring terminal is used for adjusting the output voltage of the preset energy storage device based on the power supply power adjustment instruction until the melting speed is greater than or equal to the preset melting speed;
and the monitoring terminal is also used for monitoring the melting condition of the accumulated snow on the photovoltaic module in real time when the melting speed is greater than or equal to the preset melting speed, and recording and storing the melting condition.
10. The intelligent snow-removing highway photovoltaic ceiling system according to claim 9 wherein the monitoring terminal comprises:
the voltage monitoring unit is used for acquiring output voltage of the preset energy storage device adjusted based on the power supply power adjustment instruction and comparing the output voltage with rated voltage of the preset energy storage device;
if the output voltage is smaller than or equal to the rated voltage of a preset energy storage device, judging that the output voltage of the preset energy storage device is within an adjustable range, and performing reverse power supply operation on the photovoltaic module based on the output voltage;
otherwise, judging that the preset energy storage device is overloaded, and sending second alarm information to the monitoring terminal;
and the monitoring terminal is used for matching a corresponding target solution from preset problem solutions based on the second alarm information and performing snow removing intervention operation on the accumulated snow on the photovoltaic module based on the target solution.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114164790A (en) * 2021-12-27 2022-03-11 哈尔滨职业技术学院 Intelligent pavement ice and snow clearing and compacting equipment and using method thereof
CN114332715A (en) * 2021-12-30 2022-04-12 武汉华信联创技术工程有限公司 Method, device and equipment for identifying snow through automatic meteorological observation and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011149116A1 (en) * 2010-05-24 2011-12-01 주식회사 에스에너지 Snow removal device for a photovoltaic power generation system
CN102589461A (en) * 2012-01-17 2012-07-18 华中科技大学 Image-based snow depth measuring method
CN112054763A (en) * 2020-08-27 2020-12-08 平潭煜想时代科技有限公司 Solar photovoltaic generator snow removing method, solar photovoltaic generator and device
CN212726940U (en) * 2020-09-17 2021-03-16 中国科学技术大学 Control system for preventing photovoltaic roof accumulated snow
CN113054901A (en) * 2021-05-11 2021-06-29 江苏中元盛辉新能源科技有限公司 Highway photovoltaic ceiling system of intelligence snow removing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011149116A1 (en) * 2010-05-24 2011-12-01 주식회사 에스에너지 Snow removal device for a photovoltaic power generation system
CN102589461A (en) * 2012-01-17 2012-07-18 华中科技大学 Image-based snow depth measuring method
CN112054763A (en) * 2020-08-27 2020-12-08 平潭煜想时代科技有限公司 Solar photovoltaic generator snow removing method, solar photovoltaic generator and device
CN212726940U (en) * 2020-09-17 2021-03-16 中国科学技术大学 Control system for preventing photovoltaic roof accumulated snow
CN113054901A (en) * 2021-05-11 2021-06-29 江苏中元盛辉新能源科技有限公司 Highway photovoltaic ceiling system of intelligence snow removing

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114164790A (en) * 2021-12-27 2022-03-11 哈尔滨职业技术学院 Intelligent pavement ice and snow clearing and compacting equipment and using method thereof
CN114164790B (en) * 2021-12-27 2022-05-10 哈尔滨职业技术学院 Intelligent pavement ice and snow clearing and compacting equipment and using method thereof
CN114332715A (en) * 2021-12-30 2022-04-12 武汉华信联创技术工程有限公司 Method, device and equipment for identifying snow through automatic meteorological observation and storage medium

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