CN106127768A - Big data car steering area image analysis system - Google Patents
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Abstract
The present invention relates to a kind of big data car steering area image analysis system, including CMOS sensing equipment, big data processing platform (DPP) and MSP430 single-chip microcomputer, CMOS sensing equipment is for gathering the driver area image of automobile, big data processing platform (DPP) is connected with CMOS sensing equipment and MSP430 single-chip microcomputer respectively by network, for determining the relevant information of each sunlight subimage in the image of driver area based on driver area image, and the relevant information of each sunlight subimage in the image of driver area is sent to MSP430 single-chip microcomputer.By means of the invention it is possible to the relevant information in the tupe quick obtaining car steering area image of big data platform.
Description
Technical field
The present invention relates to big data processing field, particularly relate to a kind of big data car steering area image analysis system.
Background technology
Manual Types ofshading sunshade scope is less, it is impossible to trunk whole facial or even whole to driver is effectively protected
Protect.To this end, in prior art, some vehicle manufacturer are provided with the detection of electrons of sunlight strength near steering position and set
Standby or the electron detection device of sunlight scope, determines the protection operator scheme of relevant device according to testing result.
But, above-mentioned electronics Types ofshading is the simplest, on the one hand, do not account for vehicle travels direction to sun
Light irradiates the impact brought, and causes shaded effects the highest, on the other hand, does not accounts for when sunshade policy selection, driver
Select and general passenger selection exist conflict in place of, it is consistent for causing the sunshade means for the whole vehicles, nothing
Method allowing for driver and the demand of other passengers, such as, when sunlight is too strong, may strengthen air-conditioner temperature and the wind of the vehicles
Amount, thus cause driver to obtain comfortable and that other passenger's body-sensing are the coolest situation and occur.
Accordingly, it would be desirable to a kind of new scheme based on sunlight observing and controlling, improve existing electronics sunshade mechanism, by driving
Sunlight strength and the sunlight model of position detect, by association vehicle travels direction to determine sunshade strategy,
The most key, the sunshade strategy determined customizes for driver, fully takes into account the difference of driver and other passengers
Sun-shading requirements, thus all personnel for riding public transportation means provides more preferable Consumer's Experience.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of big data car steering area image analysis system, pass through
Detect the concrete sunlight radiation situation of steering position in real time, introduce multiple image processing equipment and concrete sunlight radiation situation is carried out
Quantitative analysis, judges the travel direction of the vehicles simultaneously, thus according to travel direction, position that sunlight subimage is corresponding
Put and the area ratio of correspondence determines sunshade or the drive control signal of heat extraction equipment near steering position.
According to an aspect of the present invention, it is provided that a kind of big data car steering area image analysis system, described system
Including CMOS sensing equipment, big data processing platform (DPP) and MSP430 single-chip microcomputer, CMOS sensing equipment is for gathering the driving of automobile
Area image, big data processing platform (DPP) is connected with CMOS sensing equipment and MSP430 single-chip microcomputer respectively by network, be used for based on
Driver area image determines the relevant information of each sunlight subimage in the image of driver area, and by the image of driver area each
The relevant information of sunlight subimage is sent to MSP430 single-chip microcomputer.
More specifically, in described big data car steering area image analysis system, including: CMOS sensing equipment, if
Put in automobile, steering position front, for steering position scene being carried out image acquisition with output driver area image；Big number
According to processing platform, it is connected with CMOS sensing equipment by network, is used for receiving driver area image and driver area image being entered
Row processes, and big data processing platform (DPP) includes: gray processing processing equipment, is connected with CMOS sensing equipment by network, including passage
Parameter extraction unit, weighted value memory element and gray value computing unit, channel parameters extraction unit is used for receiving driver area
Image, extracts the R passage pixel value of each pixel in the image of driver area, G passage pixel value and channel B pixel value,
Weighted value memory element is used for having prestored R channel weighting value, G channel weighting value and channel B weighted value, and gray value calculates single
Unit is connected with channel parameters extraction unit and weighted value memory element respectively, for each pixel in the image of driver area,
By R passage pixel value and the product of R channel weighting value, the product of G passage pixel value and G channel weighting value and channel B pixel
Value and the product addition of channel B weighted value with obtain for the gray value of pixel, and based in the image of driver area each
The gray value of pixel obtains the gray level image that driver area image is corresponding；Wherein, R channel weighting value value is
0.298839, G channel weighting value value is 0.586811, and channel B weighted value value is 0.114350；Histogram distribution detection sets
Standby, be connected with gray processing processing equipment, be used for receiving gray level image, and gray level image is carried out grey level histogram process with
Obtain corresponding histogram image, when histogram image presents bimodal distribution, send global threshold and select signal, otherwise, send out
Go out non-global threshold and select signal；Threshold value selects equipment, is connected with histogram distribution detection equipment, for receiving overall situation threshold
When value selects signal, global threshold 128 is exported as threshold data, when receiving non-global threshold and selecting signal, by phase
Adjacent pixel gray difference threshold 40 exports as threshold data；Binary conversion treatment equipment, selects equipment and Nogata with threshold value respectively
Figure distribution detection device connects, for when receiving global threshold and selecting signal, for each picture in gray level image
Vegetarian refreshments, when gray value more than or equal to threshold data time, by for pixel be set to white level pixel, when gray value is less than
During threshold data, by for pixel be set to black level pixel, and the binary image that output gray level image is corresponding；
Binary conversion treatment equipment is additionally operable to when receiving non-global threshold and selecting signal, for each pixel in gray level image
Point, calculate vertical direction upwards apart from the gray value of pixel of its 3 pixels as upper grey scale pixel value, calculate Vertical Square
To downwards apart from the gray value of pixel of its 3 pixels as lower grey scale pixel value, calculated level direction to the left apart from its 3
The gray value of the pixel of individual pixel is as left grey scale pixel value, and calculated level direction is to the right apart from the picture of its 3 pixels
The gray value of vegetarian refreshments is as right grey scale pixel value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to
The absolute value of the difference of threshold data and left grey scale pixel value and right grey scale pixel value less than or equal to threshold data time, by for picture
Vegetarian refreshments is set to white level pixel, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value more than threshold data or
The absolute value of the difference of left grey scale pixel value and right grey scale pixel value more than threshold data time, by for pixel be set to black appliances
Flat pixel, and the binary image that output gray level image is corresponding；Picture smooth treatment equipment, with binary conversion treatment equipment even
Connect, be used for receiving binary image, for each pixel in binary image, when adjacent all pixels exist
During more than half trip point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel set
It is set to white level pixel, and exports the smoothed image that binary image is corresponding；Medium filtering equipment, processes with image balance and sets
Standby connection, is used for receiving smoothed image, is analyzed determining that each noise divides to the gray value of the pixel of smoothed image
The distribution radius in cloth region, the maximum in distribution radius based on each noise profile region determines the filter carrying out medium filtering
Ripple block of pixels size, uses the filtered pixel block size determined that smoothed image carries out medium filtering and processes to obtain filtering figure
Picture；Sunlight parameter detection equipment, is connected to obtain filtering image with medium filtering equipment；For each picture in filtering image
Vegetarian refreshments, mates its gray value with default sunlight tonal range, when its gray value is in default sunlight tonal range, really
Determining it is sunlight pixel；By in filtering image all sunlight pixels form region split from filtering image with
Obtain each sunlight subimage；And determine its position in filtering image based on each sunlight subimage and calculate it and account for
Area ratio according to filtering image；Export position corresponding to each sunlight subimage and the most corresponding area ratio；
Solar energy detection equipment, detects current solar energy intensity in real time；Power supply unit, including solar powered device, electric power storage
Pond, switching switch and electric pressure converter, switching switch is respectively with solar energy detection equipment, solar powered device and accumulator even
Connect, when the solar energy intensity that the dump energy of accumulator is not enough and current is optionally greater than preset strength threshold value, be switched to the sun
Energy power supply device is to be powered by solar powered device, and electric pressure converter is connected with switching switch, switching defeated by switching
The 5V voltage entered is converted to 3.3V voltage, and the most solar powered device includes solar energy photovoltaic panel；Wireless charging device, respectively
It is connected with solar energy detection equipment and accumulator, presets when the solar energy intensity that the dump energy of accumulator is not enough and current is less than
During intensity, setting up with neighbouring wireless charging terminal and be connected to start wireless charging operation, wireless charging device also turns with voltage
Parallel operation connects to realize voltage conversion；Digital compass, is arranged in the front end instrumental panel of automobile, is used for detecting in real time and exporting
Vehicle traveling direction；Digital compass includes two-dimensional magnetic field sensor, for detecting based on magnetic resistance and exporting vehicle traveling direction,
Digital compass also includes electro-magnetic feedback circuit, for eliminating the sensitive skew brought because of variations in temperature；MSP430 monolithic
Machine, is arranged in the front end instrumental panel of automobile, is connected with digital compass, also by network with sunlight parameter detection equipment even
Connect, for receiving the position of vehicle traveling direction, each sunlight subimage correspondence respectively and the most corresponding area ratio, and
The position corresponding respectively based on vehicle traveling direction, each sunlight subimage and area ratio corresponding respectively determine driving control
Signal processed；Multiple air outlets, are respectively provided with in the different mount points near Driving Position；Multiple Boiler pressure control equipment, often
One corresponding air outlet of Boiler pressure control equipment, for controlling the air force of corresponding air outlet；Air-conditioning control equipment, with many
Individual Boiler pressure control equipment connects, and is also connected with MSP430 single-chip microcomputer, is used for receiving drive control signal, and controls letter based on driving
Number it is driven multiple Boiler pressure control equipment controlling.
More specifically, in described big data car steering area image analysis system, also include: portable hard drive, be used for
Sunlight tonal range is preset in storage.
More specifically, in described big data car steering area image analysis system: portable hard drive is arranged on automobile
In the instrumental panel of front end.
More specifically, in described big data car steering area image analysis system: MSP430 single-chip microcomputer is hard with mobile
Dish is integrated on one piece of surface-mounted integrated circuit.
More specifically, in described big data car steering area image analysis system, also include: time division duplex communication connects
Mouthful, is connected with MSP430 single-chip microcomputer, for the position of wireless transmission vehicle traveling direction, each sunlight subimage respectively correspondence with
And the most corresponding area ratio.
More specifically, in described big data car steering area image analysis system: time division duplex communication interface is arranged
On body of a motor car.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the structure square frame according to the big data car steering area image analysis system shown in embodiment of the present invention
Figure.
Reference: 1CMOS sensing equipment；2 big data processing platform (DPP)s；3MSP430 single-chip microcomputer
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the big data car steering area image analysis system of the present invention is carried out
Describe in detail.
Owing to the steering position at driver place is typically in the front end of the vehicles, and taking at other passengers
Position is typically in the rear end of the vehicles, and therefore, the sunlight irradiated area that driver is born is greater than general passenger and is held
The sunlight irradiated area being subject to, and, the sunlight exposure rate that driver is born is greater than the sunlight photograph that general passenger is born
Penetrate intensity.As can be seen here, in the decision-making blocked for sunlight, the selection with general passenger that selects of driver is to there is conflict
Probability.
But, in prior art, the sunlight mechanism of blocking for driver is generally only and is simply to set a sunshading board,
By driver in the case of sunlight strength is too high, manually selecting and push sunshading board and protect, this mode is the most backward.With
Time, electronics sunshade means of the prior art are fairly simple, do not account for the selection of driver and the selection of general passenger
In place of conflict.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data car steering area image analysis system, it is possible to
In view of driver select and general passenger selection conflict in place of, according to the concrete sunlight radiation situation of steering position,
Exclusively for driver arrange a set of adaptive sunshade mechanism, thus solve driver select and general passenger selection it
Between contradiction.
Fig. 1 is the structure square frame according to the big data car steering area image analysis system shown in embodiment of the present invention
Figure, described system includes CMOS sensing equipment, big data processing platform (DPP) and MSP430 single-chip microcomputer, and CMOS sensing equipment is used for gathering
The driver area image of automobile, big data processing platform (DPP) is connected with CMOS sensing equipment and MSP430 single-chip microcomputer respectively by network
Connect, for determining the relevant information of each sunlight subimage in the image of driver area based on driver area image, and by driver's compartment
In area image, the relevant information of each sunlight subimage is sent to MSP430 single-chip microcomputer.
Then, continue the concrete structure of the big data car steering area image analysis system of the present invention is carried out further
Explanation.
Described system includes: CMOS sensing equipment, in being arranged on automobile, steering position front, for steering position field
Scape carries out image acquisition with output driver area image；Big data processing platform (DPP), is connected with CMOS sensing equipment by network, uses
In receiving driver area image and driver area image being processed.
Big data processing platform (DPP) includes: gray processing processing equipment, is connected with CMOS sensing equipment by network, including passage
Parameter extraction unit, weighted value memory element and gray value computing unit, channel parameters extraction unit is used for receiving driver area
Image, extracts the R passage pixel value of each pixel in the image of driver area, G passage pixel value and channel B pixel value,
Weighted value memory element is used for having prestored R channel weighting value, G channel weighting value and channel B weighted value, and gray value calculates single
Unit is connected with channel parameters extraction unit and weighted value memory element respectively, for each pixel in the image of driver area,
By R passage pixel value and the product of R channel weighting value, the product of G passage pixel value and G channel weighting value and channel B pixel
Value and the product addition of channel B weighted value with obtain for the gray value of pixel, and based in the image of driver area each
The gray value of pixel obtains the gray level image that driver area image is corresponding；Wherein, R channel weighting value value is
0.298839, G channel weighting value value is 0.586811, and channel B weighted value value is 0.114350；Histogram distribution detection sets
Standby, be connected with gray processing processing equipment, be used for receiving gray level image, and gray level image is carried out grey level histogram process with
Obtain corresponding histogram image, when histogram image presents bimodal distribution, send global threshold and select signal, otherwise, send out
Go out non-global threshold and select signal；Threshold value selects equipment, is connected with histogram distribution detection equipment, for receiving overall situation threshold
When value selects signal, global threshold 128 is exported as threshold data, when receiving non-global threshold and selecting signal, by phase
Adjacent pixel gray difference threshold 40 exports as threshold data.
Big data processing platform (DPP) includes: binary conversion treatment equipment, selects equipment and histogram distribution detection respectively with threshold value
Equipment connects, for when receiving global threshold and selecting signal, for each pixel in gray level image, working as gray scale
Value more than or equal to threshold data time, by for pixel be set to white level pixel, when gray value less than threshold data time,
By for pixel be set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment
Equipment is additionally operable to, when receiving non-global threshold and selecting signal, for each pixel in gray level image, calculate and hang down
Nogata to upwards apart from the gray value of pixel of its 3 pixels as upper grey scale pixel value, calculate vertical direction downwards away from
From the gray value of pixel of its 3 pixels as lower grey scale pixel value, calculated level direction is to the left apart from its 3 pixels
The gray value of pixel as left grey scale pixel value, calculated level direction is to the right apart from the ash of pixel of its 3 pixels
Angle value is as right grey scale pixel value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to threshold data
And the absolute value of the difference of left grey scale pixel value and right grey scale pixel value less than or equal to threshold data time, by for pixel arrange
For white level pixel, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left pixel ash
The absolute value of the difference of angle value and right grey scale pixel value more than threshold data time, by for pixel be set to black level pixel
Point, and the binary image that output gray level image is corresponding.
Big data processing platform (DPP) includes: picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving two-value
Change image, for each pixel in binary image, when adjacent all pixels exist more than half saltus step
During point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel
Point, and export the smoothed image that binary image is corresponding；Medium filtering equipment, is connected with image balance processing equipment, is used for connecing
Receive smoothed image, the gray value of the pixel of smoothed image is analyzed determining the distribution half in each noise profile region
Footpath, the maximum in distribution radius based on each noise profile region determines the filtered pixel block size carrying out medium filtering,
Use the filtered pixel block size determined that smoothed image carries out medium filtering to process to obtain filtering image.
Big data processing platform (DPP) includes: sunlight parameter detection equipment, is connected to obtain filtering image with medium filtering equipment；
For each pixel in filtering image, its gray value is mated with default sunlight tonal range, when its gray value
Time in default sunlight tonal range, determine that it is sunlight pixel；All sunlight pixels in filtering image are formed
Region splits to obtain each sunlight subimage from filtering image；And determine that it is in filter based on each sunlight subimage
Position in ripple image and calculate its area ratio occupying filtering image；Export the position that each sunlight subimage is the most corresponding
Put and the most corresponding area ratio.
Described system includes: solar energy detection equipment, detects current solar energy intensity in real time；Power supply unit, bag
Include solar powered device, accumulator, switching switch and electric pressure converter, switching switch respectively with solar energy detection equipment, too
Sun energy power supply device and accumulator connect, and preset when the solar energy intensity that the dump energy of accumulator is not enough and current is optionally greater than
During intensity threshold, being switched to solar powered device to be powered by solar powered device, electric pressure converter is with switching switch even
Connecing, will be converted to 3.3V voltage by the 5V voltage of switching switch input, the most solar powered device includes solar energy
Volt plate.
Described system includes: wireless charging device, is connected, when accumulator with solar energy detection equipment and accumulator respectively
When not enough the and current solar energy intensity of dump energy is less than preset strength, sets up with neighbouring wireless charging terminal and be connected to open
Dynamic wireless charging operation, wireless charging device is also connected with electric pressure converter to realize voltage conversion；Digital compass, is arranged on
In the front end instrumental panel of automobile, it is used for detecting in real time and exporting vehicle traveling direction；Digital compass includes that two-dimensional magnetic field senses
Device, for detecting and export vehicle traveling direction based on magnetic resistance, digital compass also includes electro-magnetic feedback circuit, be used for eliminating because of
The sensitive skew brought for variations in temperature.
Described system includes: MSP430 single-chip microcomputer, is arranged in the front end instrumental panel of automobile, is connected with digital compass,
It is connected with sunlight parameter detection equipment also by network, is used for receiving vehicle traveling direction, each sunlight subimage correspondence respectively
Position and respectively corresponding area ratio, and based on vehicle traveling direction, position that each sunlight subimage is the most corresponding
And corresponding area ratio determines drive control signal respectively；Multiple air outlets, are respectively provided with near Driving Position
In different mount points；Multiple Boiler pressure control equipment, the corresponding air outlet of each Boiler pressure control equipment, it is used for controlling correspondence and goes out
The air force in air port.
Described system includes: air-conditioning control equipment, is connected with multiple Boiler pressure control equipment, also with MSP430 single-chip microcomputer even
Connect, be used for receiving drive control signal, and be driven controlling to multiple Boiler pressure control equipment based on drive control signal.
Alternatively, in the system, also include: portable hard drive, be used for storing default sunlight tonal range；Portable hard drive
It is arranged in the front end instrumental panel of automobile；MSP430 single-chip microcomputer and portable hard drive are integrated on one piece of surface-mounted integrated circuit；Also wrap
Include: time division duplex communication interface, be connected with MSP430 single-chip microcomputer, for wireless transmission vehicle traveling direction, each sunlight subgraph
As the most corresponding position and the most corresponding area ratio；Time division duplex communication interface is arranged on body of a motor car.
It addition, 4G LTE is the standard of a global general-use, including two kinds of network schemer FDD and TDD, it is respectively used in pairs
Frequency spectrum and non-paired frequency spectrum.Operator's initially accepting or rejecting purely for the consideration to spectrum availability between two patterns.Greatly
Multi-operator will dispose two kinds of networks simultaneously, in order to makes full use of its all frequency spectrum resources having.FDD and TDD is in technology
Upper difference is the least, and the main distinction is that and uses different duplex modes, FDD (FDD) and time division duplex (TDD)
It is two kinds of different duplex modes.
FDD be separate two symmetrical frequency channels on be received and transmitted, with protection frequency range separate reception and
Send channel.FDD must use paired frequency, relies on frequency to carry out differentiating uplink and downlink link, and its unidirectional resource is in the time
On be continuous print.FDD, when supporting symmetrical service, can make full use of the frequency spectrum of up-downgoing, but when supporting non-symmetrical service, frequently
Spectrum utilization rate will be substantially reduced.
TDD separates reception with the time and sends channel.In the mobile communication system of TDD mode, receive and transmission makes
With the different time-gap of same frequency carrier as the carrying of channel, its unidirectional resource is discontinuous in time, the time
Resource is distributed in the two directions.Certain time period is sent a signal to mobile station by base station, and the other time is by moving
Platform sends a signal to base station, must harmonious ability work well between base station and mobile station.
Use the big data car steering area image analysis system of the present invention, cannot be steering position for prior art
Driver provide customization sunshade strategy technical problem, by the sunlight radiation situation of steering position is carried out image acquisition,
Introduce a series of images processing equipment the image collected accurately is analyzed, analysis result is combined vehicle travels side
To determine the visor mode at steering position, the visor mode determined is specific to driver rather than all passengers.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-described embodiment being not used to
Limit the present invention.For any those of ordinary skill in the art, without departing under technical solution of the present invention ambit,
Technical solution of the present invention is made many possible variations and modification by the technology contents that all may utilize the disclosure above, or is revised as
Equivalent embodiments with change.Therefore, every content without departing from technical solution of the present invention, according to the technical spirit pair of the present invention
Any simple modification made for any of the above embodiments, equivalent variations and modification, all still fall within the scope of technical solution of the present invention protection
In.
Claims (7)
1. a big data car steering area image analysis system, described system includes that CMOS sensing equipment, big data process
Platform and MSP430 single-chip microcomputer, CMOS sensing equipment is for gathering the driver area image of automobile, and big data processing platform (DPP) is passed through
Network is connected with CMOS sensing equipment and MSP430 single-chip microcomputer respectively, for determining driver area image based on driver area image
In the relevant information of each sunlight subimage, and the relevant information of each sunlight subimage in the image of driver area is sent to
MSP430 single-chip microcomputer.
2. big data car steering area image analysis system as claimed in claim 1, it is characterised in that described system bag
Include:
CMOS sensing equipment, in being arranged on automobile, steering position front, for carrying out image acquisition with defeated to steering position scene
Go out driver area image；
Big data processing platform (DPP), is connected with CMOS sensing equipment by network, is used for receiving driver area image and to driver's compartment
Area image processes, and big data processing platform (DPP) includes:
Gray processing processing equipment, is connected with CMOS sensing equipment by network, including channel parameters extraction unit, weighted value storage
Unit and gray value computing unit, channel parameters extraction unit is used for receiving driver area image, extracts driver area image
In the R passage pixel value of each pixel, G passage pixel value and channel B pixel value, weighted value memory element is for depositing in advance
Stored up R channel weighting value, G channel weighting value and channel B weighted value, gray value computing unit respectively with channel parameters extraction unit
Connect with weighted value memory element, for each pixel in the image of driver area, by R passage pixel value and R channel weighting
The product addition of the product of value, the product of G passage pixel value and G channel weighting value and channel B pixel value and channel B weighted value
With obtain for the gray value of pixel, and obtain driver area based on the gray value of each pixel in the image of driver area
The gray level image that image is corresponding；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is
0.586811, channel B weighted value value is 0.114350；
Histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving gray level image, and to gray level image
Carry out grey level histogram to process to obtain corresponding histogram image, when histogram image presents bimodal distribution, send the overall situation
Threshold value selects signal, otherwise, sends non-global threshold and selects signal；
Threshold value selects equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by complete
Office's threshold value 128 exports as threshold data, when receiving non-global threshold and selecting signal, by neighbor pixel gray difference threshold
40 export as threshold data；
Binary conversion treatment equipment, selects equipment and histogram distribution detection equipment to be connected, for receiving entirely respectively with threshold value
When office's threshold value selects signal, for each pixel in gray level image, when gray value is more than or equal to threshold data, will
For pixel be set to white level pixel, when gray value less than threshold data time, by for pixel be set to black
Level pixel point, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment be additionally operable to receive non-entirely
When office's threshold value selects signal, for each pixel in gray level image, calculate vertical direction upwards apart from its 3 pixels
The gray value of the pixel of point as upper grey scale pixel value, calculates vertical direction downwards apart from the pixel of its 3 pixels
Gray value as lower grey scale pixel value, calculated level direction to the left apart from the gray value of pixel of its 3 pixels as a left side
Grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels as right grey scale pixel value, when
The absolute value of the difference of upper grey scale pixel value and lower grey scale pixel value is less than or equal to threshold data and left grey scale pixel value and right pixel
The absolute value of the difference of gray value less than or equal to threshold data time, by for pixel be set to white level pixel, when upper picture
The absolute value of the difference of element gray value and lower grey scale pixel value more than threshold data or left grey scale pixel value and right grey scale pixel value it
Difference absolute value more than threshold data time, by for pixel be set to black level pixel, and output gray level image pair
The binary image answered；
Picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving binary image, in binary image
Each pixel, when adjacent all pixels exist the trip point of more than half, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be set to white level pixel, and it is corresponding to export binary image
Smoothed image；
Medium filtering equipment, is connected with image balance processing equipment, is used for receiving smoothed image, to the pixel of smoothed image
Gray value is analyzed determining the distribution radius in each noise profile region, distribution based on each noise profile region half
Maximum in footpath determines the filtered pixel block size carrying out medium filtering, uses the filtered pixel block size determined to smooth figure
Process as carrying out medium filtering to obtain filtering image；
Sunlight parameter detection equipment, is connected to obtain filtering image with medium filtering equipment；For each in filtering image
Pixel, mates its gray value with default sunlight tonal range, when its gray value is in default sunlight tonal range,
Determine that it is sunlight pixel；The region that all sunlight pixels in filtering image form is split from filtering image
To obtain each sunlight subimage；And determine its position in filtering image based on each sunlight subimage and calculate it
Occupy the area ratio of filtering image；Export position corresponding to each sunlight subimage and the most corresponding area ratio
Rate；
Solar energy detection equipment, detects current solar energy intensity in real time；
Power supply unit, including solar powered device, accumulator, switching switch and electric pressure converter, switching switch respectively with too
Sun can detect equipment, solar powered device and accumulator and connect, when the solar energy that the dump energy of accumulator is not enough and current
When intensity is optionally greater than preset strength threshold value, being switched to solar powered device to be powered by solar powered device, voltage turns
Parallel operation is connected with switching switch, with by being converted to 3.3V voltage by the 5V voltage of switching switch input, the most solar powered
Device includes solar energy photovoltaic panel；
Wireless charging device, is connected with solar energy detection equipment and accumulator respectively, when the dump energy of accumulator is not enough and works as
When front solar energy intensity is less than preset strength, sets up with neighbouring wireless charging terminal and be connected to start wireless charging operation,
Wireless charging device is also connected with electric pressure converter to realize voltage conversion；
Digital compass, is arranged in the front end instrumental panel of automobile, is used for detecting in real time and exporting vehicle traveling direction；Electronics refers to
Compass includes two-dimensional magnetic field sensor, and for detecting and export vehicle traveling direction based on magnetic resistance, digital compass also includes electricity
Magnetic feedback circuit, for eliminating the sensitive skew brought because of variations in temperature；
MSP430 single-chip microcomputer, is arranged in the front end instrumental panel of automobile, is connected with digital compass, joins with sunlight also by network
Count detection equipment to connect, for receiving position and the difference correspondence of vehicle traveling direction, each sunlight subimage correspondence respectively
Area ratio, and based on the respectively corresponding position of vehicle traveling direction, each sunlight subimage and the most corresponding area
Ratio determines drive control signal；
Multiple air outlets, are respectively provided with in the different mount points near Driving Position；
Multiple Boiler pressure control equipment, the corresponding air outlet of each Boiler pressure control equipment, for controlling the wind of corresponding air outlet
Amount size；
Air-conditioning control equipment, is connected with multiple Boiler pressure control equipment, is also connected with MSP430 single-chip microcomputer, is used for receiving driving control
Signal, and be driven controlling to multiple Boiler pressure control equipment based on drive control signal.
3. big data car steering area image analysis system as claimed in claim 2, it is characterised in that also include:
Portable hard drive, is used for storing default sunlight tonal range.
4. big data car steering area image analysis system as claimed in claim 3, it is characterised in that:
Portable hard drive is arranged in the front end instrumental panel of automobile.
5. big data car steering area image analysis system as claimed in claim 3, it is characterised in that:
MSP430 single-chip microcomputer and portable hard drive are integrated on one piece of surface-mounted integrated circuit.
6. big data car steering area image analysis system as claimed in claim 2, it is characterised in that also include:
Time division duplex communication interface, is connected with MSP430 single-chip microcomputer, for wireless transmission vehicle traveling direction, each sunlight subgraph
As the most corresponding position and the most corresponding area ratio.
7. big data car steering area image analysis system as claimed in claim 6, it is characterised in that:
Time division duplex communication interface is arranged on body of a motor car.
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Cited By (1)
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|---|---|---|---|---|
| CN111142510A (en) * | 2018-10-16 | 2020-05-12 | 丰田自动车株式会社 | Moving body |
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