CN105023432B - Jam level Network Recognition system - Google Patents
Jam level Network Recognition system Download PDFInfo
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- CN105023432B CN105023432B CN201510317936.1A CN201510317936A CN105023432B CN 105023432 B CN105023432 B CN 105023432B CN 201510317936 A CN201510317936 A CN 201510317936A CN 105023432 B CN105023432 B CN 105023432B
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- 238000001914 filtration Methods 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 22
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- 239000003623 enhancer Substances 0.000 claims description 15
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 9
- 229910052744 lithium Inorganic materials 0.000 claims description 9
- 230000002708 enhancing effect Effects 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 5
- 230000000903 blocking effect Effects 0.000 description 4
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- 238000005516 engineering process Methods 0.000 description 4
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- 239000003595 mist Substances 0.000 description 2
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
Abstract
The present invention relates to a kind of jam level Network Recognition system, described identification system includes image receiving apparatus on the spot, car terminals data receiver and embedded processing equipment, described image receiving apparatus on the spot receives the section image on the spot of the target road section of the camera transmission being in target road section by network service, described car terminals data receiver is received by network service and is in the automobile real-time speed that the car terminals of target road section sends, described embedded processing equipment determines the jam level of target road section according to described section image on the spot and described automobile real-time speed.By means of the invention it is possible to photographing image field and car speed combination on the spot are used for determining congestion level on the spot, and the weighted value of each factor when determining congestion level can be arranged on according to haze concentration on the spot.
Description
Technical field
The present invention relates to network communication field, particularly relate to a kind of jam level Network Recognition system.
Background technology
Due to the growth often beyond urban traffic road area that increases of automobile quantity, thus, road
Blocking up and be increasingly becoming the common fault in each city, be especially on duty early evening peak and period festivals or holidays, road
Road blocks up and wastes the time of people, reduces the operating efficiency of entire society.
In order to more reasonably utilize existing urban road resource, prior art occurring in that, some provide
The technical scheme of road congestion conditions, is adapted to assist in people and avoids congestion in road section, when reducing current
Between, increase work efficiency.Fact proved, use section parameter of blocking up can effectively relax urban congestion
Problem.
But, in prior art, the detection to the congestion level in a certain section commonly relies on single factor test inspection
Survey pattern, such as satellite remote sensing images, on the spot car speed or on the spot photographed images, but single factor test inspection
Surveying and be easily subject to the interference that self detection system is brought, photographed images is easily subject to mist on the spot the most on the spot
The interference of haze concentration, causes accuracy of detection the highest.
To this end, the present invention proposes a kind of new section congestion level detection scheme, it is possible to will take the photograph on the spot
As image and car speed combination on the spot, and when determining section congestion level on the spot, adaptive should be two
Individual factor arranges rational weighted value, thus the dual factors of the effective guarantee present invention detect the detection of pattern
Precision, the efficient trip being convenient for people to.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides a kind of jam level network
Identification system, based on haze concentration on the spot determine on the spot photographed images and on the spot car speed two factor exist
Determine weighted value during target road section jam level, meanwhile, also introduce high-precision image recognition skill
Art and battery saving mode, improve reliability and the accuracy of identification system.
According to an aspect of the present invention, it is provided that a kind of jam level Network Recognition system, described identification
System includes image receiving apparatus, car terminals data receiver and embedded processing equipment on the spot,
Described image receiving apparatus on the spot is in the camera transmission of target road section by network service reception
The section of target road section image on the spot, described car terminals data receiver is received by network service
Be in target road section car terminals send automobile real-time speed, described embedded processing equipment according to
Described section image on the spot and described automobile real-time speed determine the jam level of target road section.
More specifically, in described jam level Network Recognition system, also include: haze concentration is asked
Equipment, is connected with gps data query facility, is used for being sent to the gps data of target road section work as
The meteorological monitor supervision platform in ground, in order to described local meteorological monitor supervision platform is according to the gps data of target road section
Determine the haze concentration of target road section；Haze concentration receives equipment, is used for receiving described local meteorological prison
The haze concentration of the target road section that control platform returns；Request reception equipment, for receiving target road section
The request of congestion level, the request of the congestion level of described target road section includes the title of target road section
With the mark of requesting terminal, described request receives asking of the congestion level of the equipment described target road section of parsing
Seek to obtain the mark of the title of target road section and requesting terminal；Portable hard drive, is used for prestoring power
The weight table of comparisons, automobile upper limit gray threshold, automobile lower limit gray threshold and 9 jam level threshold values,
The described weight table of comparisons, with haze concentration for index, saves when determining section jam level on the spot
View data weighted value and car terminals data rights weight values, haze concentration is the biggest, on the spot view data power
Weight values is the least, and car terminals data rights weight values is the biggest, described automobile upper limit gray threshold and described automobile
Lower limit gray threshold is for by the automobile in image and background separation, and described 9 jam level threshold values are pressed
According to the most equally distributed mode value to determine 10 jam level intervals；Gps data is looked into
Inquiry equipment, uses Cloud Server form to realize, with the entitled index in section, has prestored each road
The gps data of section, described gps data query facility is connected with described request reception equipment, is used for
The gps data of name query target road section based on target road section；Gps data sends equipment, with institute
State gps data query facility to connect, for being sent to be in target by the gps data of target road section
The camera in section and the car terminals being in target road section, in order to be in the camera of target road section
Return the section image on the spot of target road section, it is simple to the car terminals being in target road section returns its reality
Shi Sudu；Described image receiving apparatus on the spot is for receiving the mesh that the camera being in target road section returns
The section image on the spot in mark section, including wavelet filtering subset, edge enhancer equipment, gray processing
Processing subset, automobile identification subset and microcontroller, described wavelet filtering subset receives described
Section image on the spot, performs at filtering based on Haar wavelet transform wave filter described section image on the spot
Reason, to obtain section filtering image, described edge enhancer equipment is with described wavelet filtering subset even
Connect, described section filtering image is performed edge enhancing and processes, to obtain section enhancing image, described
Gray processing processes subset and is connected with described edge enhancer equipment to hold described section enhancing image
Row gray processing processes, it is thus achieved that gray level image, and described automobile identification subset processes with described gray processing
Subset and described portable hard drive connect respectively, by gray value in described gray level image at described automobile
Pixel identification between upper limit gray threshold and described automobile lower limit gray threshold also forms multiple automobile
Subgraph, described microcontroller is connected with described automobile identification subset, by multiple automobile subgraphs
Quantity exports as the automobile quantity of target road section；Described car terminals data receiver is used for receiving
It is in the real-time speed that the car terminals of target road section sends；Described embedded processing equipment and described shifting
Dynamic hard disk, described haze concentration receive equipment, described image receiving apparatus on the spot and described car terminals
Data receiver connects respectively, and haze concentration based on target road section is looked in the described weight table of comparisons
Find the weighted value of view data on the spot of correspondence and corresponding car terminals data rights weight values, by correspondence
View data weighted value is multiplied with the automobile quantity of target road section on the spot, by corresponding car terminals data
Weighted value and the reciprocal multiplication of real-time speed, by two product addition to obtain the journey of blocking up of target road section
Number of degrees value, falls the congestion level numerical value of target road section a certain in described 10 jam level intervals
Grade corresponding to individual grade interval is as the jam level of target road section；Congestion level sends equipment,
It is connected respectively with described request reception equipment and described embedded processing equipment, for based on described request
The mark of terminal, the jam level of the target road section exported by described embedded processing equipment is sent to institute
State the requesting terminal corresponding to the mark of requesting terminal；Wherein, described wavelet filtering subset, edge
Enhancer equipment, gray processing process subset, automobile identification subset is respectively adopted different model
Fpga chip realizes, and described wavelet filtering subset, edge enhancer equipment, gray processing process
Subset, automobile identification subset and microcontroller are integrated on one piece of surface-mounted integrated circuit；Described embedding
Enter the request at the congestion level receiving the target road section that request reception equipment sends of the formula processing equipment
Time, described gps data query facility, described gps data are sent equipment, described haze concentration
Request equipment, described haze concentration receive equipment, described image receiving apparatus on the spot and described automobile eventually
End data receives equipment and starts from battery saving mode, when described embedded processing equipment is sending target road
Section jam level after, control described gps data query facility, described gps data send equipment,
Described haze concentration request equipment, described haze concentration receive equipment, described image receiving apparatus on the spot
Battery saving mode is entered with described car terminals data receiver.
More specifically, in described jam level Network Recognition system: described microcontroller is single-chip microcomputer.
More specifically, in described jam level Network Recognition system, also include: display device, with
Described embedded processing equipment connects, for showing the quantity of automobile on the spot of described target road section, described
The automobile quantity of target road section and the jam level of described target road section.
More specifically, in described jam level Network Recognition system, also include: power supply unit, bag
Include solar powered device, lithium battery, switching switch and electric pressure converter, described switching switch and institute
State solar powered device and described lithium battery connects respectively, according to the dump energy decision of lithium battery be
No being switched to described solar powered device to be powered by described solar powered device, described voltage turns
Parallel operation is connected with described switching switch, will be converted to 3.3V by the 5V voltage of switching switch input
Voltage.
More specifically, in described jam level Network Recognition system: described embedded processing equipment is
ARM11 processor.
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 jam level Network Recognition system shown in embodiment of the present invention
Figure.
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the jam level Network Recognition system of the present invention is carried out
Describe in detail.
Current navigator, it commonly relies on single factor test mould to the detection of the congestion in section
Formula, this pattern is easily subject to interference, causes the reference data improved without reference to value, even has
Having misleading, the trip for people brings inconvenience.
In order to overcome above-mentioned deficiency, the present invention has built a kind of jam level Network Recognition system, will be real
Ground photographed images and on the spot car speed combine the reality judging each target road section by weighting scheme
Time jam level, thus effectively solve above-mentioned technical problem.
Fig. 1 is the structure square frame according to the jam level Network Recognition system shown in embodiment of the present invention
Figure, described identification system includes image receiving apparatus 1, car terminals data receiver 2 and on the spot
Embedded processing equipment 3, described image receiving apparatus on the spot 1 is received by network service and is in target
The section image on the spot of the target road section that the camera in section sends, described car terminals data receiver sets
Standby 2 are in the automobile real-time speed that the car terminals of target road section sends, institute by network service reception
State embedded processing equipment 3 and determine target according to described section image on the spot and described automobile real-time speed
The jam level in section.
Then, continue the concrete structure of the jam level Network Recognition system of the present invention is carried out further
Explanation.
Described identification system also includes: haze concentration request equipment, is connected with gps data query facility,
For the gps data of target road section being sent to local meteorological monitor supervision platform, in order to described work as ground vapour
As monitor supervision platform determines the haze concentration of target road section according to the gps data of target road section.
Described identification system also includes: haze concentration receives equipment, is used for receiving described local meteorological prison
The haze concentration of the target road section that control platform returns.
Described identification system also includes: request reception equipment, for receiving the congestion level of target road section
Request, the request of the congestion level of described target road section includes the title of target road section and request eventually
The mark of end, described request receives the request of the congestion level of the equipment described target road section of parsing to obtain
The title of target road section and the mark of requesting terminal.
Portable hard drive, is used for prestoring the weight table of comparisons, automobile upper limit gray threshold, automobile lower limit
Gray threshold and 9 jam level threshold values, the described weight table of comparisons, with haze concentration for index, preserves
The weighted value of view data on the spot when determining section jam level and car terminals data rights weight values,
Haze concentration is the biggest, and view data weighted value is the least on the spot, and car terminals data rights weight values is the biggest, institute
State automobile upper limit gray threshold and described automobile lower limit gray threshold for by the automobile in image and the back of the body
Scape separate, described 9 jam level threshold values according to the most equally distributed mode value to determine
10 jam level intervals.
Described identification system also includes: gps data query facility, uses Cloud Server form to realize,
With the entitled index in section, having prestored the gps data in each section, described gps data is looked into
Inquiry equipment is connected with described request reception equipment, for name query target road section based on target road section
Gps data.
Described identification system also includes: gps data sends equipment, with described gps data query facility
Connect, for the gps data of target road section being sent to the camera being in target road section and being in mesh
The car terminals in mark section, in order to the camera being in target road section returns to the section of target road section in fact
Ground image, it is simple to the car terminals being in target road section returns its real-time speed.
Described image receiving apparatus on the spot 1 is for receiving the target that the camera being in target road section returns
The section in section image on the spot, at wavelet filtering subset, edge enhancer equipment, gray processing
Reason subset, automobile identification subset and microcontroller, described wavelet filtering subset receives described road
Section image on the spot, performs filtering based on Haar wavelet transform wave filter to described section image on the spot and processes,
To obtain section filtering image, described edge enhancer equipment is connected with described wavelet filtering subset,
Described section filtering image is performed edge enhancing process, to obtain section enhancing image, described gray scale
Change processes subset and is connected with described edge enhancer equipment described section enhancing image is performed ash
Degreeization processes, it is thus achieved that gray level image, and described automobile identification subset and described gray processing process son and set
Standby and described portable hard drive connects, respectively by gray value in described gray level image in the described automobile upper limit
Pixel identification between gray threshold and described automobile lower limit gray threshold also forms multiple automobile subgraph
Picture, described microcontroller is connected with described automobile identification subset, by the quantity of multiple automobile subgraphs
Automobile quantity as target road section exports.
Described car terminals data receiver 2 sends for receiving the car terminals being in target road section
Real-time speed.
Described embedded processing equipment 3 receives equipment, institute with described portable hard drive, described haze concentration
State image receiving apparatus 1 and described car terminals data receiver 2 on the spot to connect respectively, based on mesh
The haze concentration in mark section finds the view data weight on the spot of correspondence in the described weight table of comparisons
Value and corresponding car terminals data rights weight values, by the corresponding weighted value of view data on the spot and target road
The automobile quantity of section is multiplied, by the phase reciprocal of corresponding car terminals data rights weight values with real-time speed
Take advantage of, by two product addition to obtain the congestion level numerical value of target road section, blocking up target road section
The degree numerical value grade corresponding to some grade interval that falls in described 10 jam level intervals is made
Jam level for target road section.
Described identification system also includes: congestion level sends equipment, with described request reception equipment and institute
State embedded processing equipment 3 to connect respectively, for mark based on described requesting terminal, by described embedding
The jam level of the target road section entering the output of formula processing equipment is sent to the mark institute of described requesting terminal
Corresponding requesting terminal.
Wherein, described wavelet filtering subset, edge enhancer equipment, gray processing process subset,
Automobile identification subset is respectively adopted the fpga chip of different model and realizes, described wavelet filtering
Equipment, edge enhancer equipment, gray processing process subset, automobile identification subset and microcontroller
It is integrated on one piece of surface-mounted integrated circuit；Described embedded processing equipment 3 receive request reception set
During the request of the congestion level of the target road section that preparation is sent, by described gps data query facility, described
Gps data sends equipment, described haze concentration asks equipment, described haze concentration to receive equipment, institute
State image receiving apparatus 1 and described car terminals data receiver 2 on the spot to open from battery saving mode
Dynamic, when described embedded processing equipment 3 is after the jam level sending target road section, control described GPS
Data query equipment, described gps data send equipment, described haze concentration request equipment, described mist
Haze concentration receives equipment, described image receiving apparatus on the spot 1 and described car terminals data receiver
2 enter battery saving mode.
Alternatively, described microcontroller is single-chip microcomputer；Described jam level Network Recognition system also includes:
Display device, is connected with described embedded processing equipment 3, for showing described target road section on the spot
Automobile quantity, the automobile quantity of described target road section and the jam level of described target road section；Described gather around
Stifled hierarchical network identification system also includes: power supply unit, including solar powered device, lithium battery,
Switching switch and electric pressure converter, described switching switch and described solar powered device and described lithium electricity
Pond connects respectively, decides whether to be switched to described solar powered device according to the dump energy of lithium battery
To be powered by described solar powered device, described electric pressure converter is connected with described switching switch, with
3.3V voltage will be converted to by the 5V voltage of switching switch input；And, described embedded processing
Equipment 3 is ARM11 processor.
It addition, FPGA (Field-Programmable Gate Array), i.e. field-programmable gate array
Row, he is the product of development further on the basis of the programming devices such as PAL, GAL, CPLD.
He is to occur as a kind of semi-custom circuit in special IC (ASIC) field, both solves
Determine the deficiency of custom circuit, overcome again the shortcoming that original programming device gate circuit number is limited.
The circuit design completed with hardware description language (Verilog or VHDL), can be through letter
Single comprehensive and layout, is quickly burned onto on FPGA and tests, and is modern IC designs checking
Technology main flow.These can be edited element and can be used to realize some basic logic gates (ratio
Such as AND, OR, XOR, NOT) or more more complicated combination function such as decoder or number
Learn equation.Inside most FPGA, in these editable elements, also comprise memory cell
Such as trigger (Flip-flop) or other more complete block of memory.System designer can root
By editable connection, the logical block within FPGA is coupled together according to needing, just look like an electricity
Road breadboard has been placed in a chip.One dispatch from the factory after the logical block of finished product FPGA and connection
Can change according to designer, so FPGA can complete required logic function.
FPGA in general speed than ASIC (special IC) is slow, it is achieved same merit
Can be bigger than ASIC circuit area.But they also have a lot of advantages such as can quick finished product,
The mistake in correction program and less expensive cost can be modified to.Manufacturer is likely to provide cheap
But edit capability difference FPGA.Because these chips have poor can edit capability, so
The exploitation of these designs is to complete on common FPGA, then design is transferred to one and is similar to
On the chip of ASIC.Another method is with CPLD (Complex Programmable Logic
Device, CPLD).The exploitation of FPGA is relative to tradition PC, the opening of single-chip microcomputer
Send out and be very different.FPGA, based on concurrent operation, realizes with hardware description language；Compared to
The order operation of PC or single-chip microcomputer (either von Neumann structure or Harvard structure) has the biggest difference.
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA
Include the Programmadle logic unit of some relatively large amount.The density of CPLD gate arrives thousand of
Between several ten thousand logical blocks, and FPGA is typically several ten thousand to millions of.CPLD and FPGA
The main distinction be their system architecture.CPLD is a somewhat restrictive structure.This knot
Structure is arranged by the logical groups of one or more editable result sum and the locking of some relatively small amounts
Register composition.Such result be a lack of edit flexibility, but but have it is anticipated that delay
Time and the logical block advantage to connecting unit height ratio.And FPGA is to have a lot of connection lists
Unit, although so allowing him edit more flexibly, but structure is complicated many.
Use the jam level Network Recognition system of the present invention, gather around for single factor test section in prior art
The technical problem that stifled degree detecting mode detection results precision is the highest, will photographed images and on the spot vapour on the spot
Vehicle speed is combined by weighting scheme, classifies the congestion level of each target road section
Judge, thus provide more valuable navigation data for people.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement
Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from
Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention
Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore,
Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection
In the range of.
Claims (1)
1. a jam level Network Recognition system, described identification system includes that image-receptive sets on the spot
Standby, car terminals data receiver and embedded processing equipment, described image receiving apparatus on the spot leads to
Cross the section image on the spot that network service receives the target road section of the camera transmission being in target road section,
Described car terminals data receiver receives the car terminals being in target road section by network service
The automobile real-time speed sent, described embedded processing equipment is according to described section image on the spot and described
Automobile real-time speed determines the jam level of target road section；
Described identification system also includes:
Haze concentration request equipment, is connected with gps data query facility, for by target road section
Gps data is sent to local meteorological monitor supervision platform, in order to described local meteorological monitor supervision platform is according to mesh
The gps data in mark section determines the haze concentration of target road section；
Haze concentration receives equipment, for receiving the target road section that described local meteorological monitor supervision platform returns
Haze concentration；
Request reception equipment, for receiving the request of the congestion level of target road section, described target road section
The request of congestion level include the title of target road section and the mark of requesting terminal, described request connects
Receiving unit resolves the request of the congestion level of described target road section to obtain the title of target road section and to ask
Seek the mark of terminal；
Portable hard drive, is used for prestoring the weight table of comparisons, automobile upper limit gray threshold, automobile lower limit
Gray threshold and 9 jam level threshold values, the described weight table of comparisons, with haze concentration for index, preserves
The weighted value of view data on the spot when determining section jam level and car terminals data rights weight values,
Haze concentration is the biggest, and view data weighted value is the least on the spot, and car terminals data rights weight values is the biggest, institute
State automobile upper limit gray threshold and described automobile lower limit gray threshold for by the automobile in image and the back of the body
Scape separate, described 9 jam level threshold values according to the most equally distributed mode value to determine
10 jam level intervals；
Gps data query facility, uses Cloud Server form to realize, with the entitled index in section, in advance
First storing the gps data in each section, described gps data query facility receives with described request
Equipment connects, for the gps data of name query target road section based on target road section；
Gps data sends equipment, is connected with described gps data query facility, for by target road section
Gps data be sent to be in the camera of target road section and be in the car terminals of target road section, with
It is easy to be in the section image on the spot of the camera return target road section of target road section, it is simple to be in target
The car terminals in section returns its real-time speed；
Described image receiving apparatus on the spot is for receiving the target road that the camera being in target road section returns
The section image on the spot of section, processes including wavelet filtering subset, edge enhancer equipment, gray processing
Subset, automobile identification subset and microcontroller, described wavelet filtering subset receives described section
Image on the spot, performs filtering based on Haar wavelet transform wave filter to described section image on the spot and processes, with
Obtaining section filtering image, described edge enhancer equipment is connected with described wavelet filtering subset, right
Described section filtering image performs edge enhancing and processes, to obtain section enhancing image, described gray processing
Process subset to be connected with described edge enhancer equipment described section strengthens image execution gray scale
Change processes, it is thus achieved that gray level image, and described automobile identification subset processes subset with described gray processing
Connect respectively with described portable hard drive, by gray value in described gray level image at described automobile upper limit ash
Spend the pixel identification between threshold value and described automobile lower limit gray threshold and form multiple automobile subgraph,
Described microcontroller is connected with described automobile identification subset, using the quantity of multiple automobile subgraphs as
The automobile quantity output of target road section；
Described car terminals data receiver sends for receiving the car terminals being in target road section
Real-time speed；
Described embedded processing equipment and described portable hard drive, described haze concentration receive equipment, described
Image receiving apparatus and described car terminals data receiver connect, respectively based on target road section on the spot
Haze concentration in the described weight table of comparisons, find the weighted value of view data on the spot and right of correspondence
The car terminals data rights weight values answered, by the vapour of the corresponding weighted value of view data on the spot with target road section
Car quantity is multiplied, by the reciprocal multiplication of corresponding car terminals data rights weight values with real-time speed, by two
Individual product addition is to obtain the congestion level numerical value of target road section, by the congestion level numerical value of target road section
Fall the grade corresponding to some grade interval in described 10 jam level intervals as target road
The jam level of section；
Congestion level sends equipment, with described request reception equipment and described embedded processing equipment difference
Connect, for mark based on described requesting terminal, the target that described embedded processing equipment is exported
The jam level in section is sent to the requesting terminal corresponding to the mark of described requesting terminal；
Wherein, described wavelet filtering subset, edge enhancer equipment, gray processing process subset,
Automobile identification subset is respectively adopted the fpga chip of different model and realizes, described wavelet filtering
Equipment, edge enhancer equipment, gray processing process subset, automobile identification subset and microcontroller
It is integrated on one piece of surface-mounted integrated circuit；
Wherein, described embedded processing equipment is receiving the target road section that request reception equipment sends
During the request of congestion level, described gps data query facility, described gps data are sent equipment,
Described haze concentration request equipment, described haze concentration receive equipment, described image receiving apparatus on the spot
Start from battery saving mode with described car terminals data receiver, when described embedded processing equipment
After the jam level sending target road section, control described gps data query facility, described GPS
Data transmitting equipment, described haze concentration request equipment, described haze concentration receive equipment, described reality
Ground image receiving apparatus and described car terminals data receiver enter battery saving mode；
Described microcontroller is single-chip microcomputer；
Display device, is connected with described embedded processing equipment, for showing the reality of described target road section
Ground automobile quantity, the automobile quantity of described target road section and the jam level of described target road section；
Power supply unit, including solar powered device, lithium battery, switching switch and electric pressure converter,
Described switching switch is connected, according to lithium battery respectively with described solar powered device and described lithium battery
Dump energy decide whether to be switched to described solar powered device with by described solar energy electric supplier
Part is powered, and described electric pressure converter is connected with described switching switch, with by by switching switch input
5V voltage is converted to 3.3V voltage；
Described embedded processing equipment is ARM11 processor.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510834942.4A CN105513343B (en) | 2015-06-10 | 2015-06-10 | Jam level Network Recognition system |
| CN201510317936.1A CN105023432B (en) | 2015-06-10 | 2015-06-10 | Jam level Network Recognition system |
| CN201510834732.5A CN105427595B (en) | 2015-06-10 | 2015-06-10 | Jam level Network Recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510317936.1A CN105023432B (en) | 2015-06-10 | 2015-06-10 | Jam level Network Recognition system |
Related Child Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510834732.5A Division CN105427595B (en) | 2015-06-10 | 2015-06-10 | Jam level Network Recognition system |
| CN201510834942.4A Division CN105513343B (en) | 2015-06-10 | 2015-06-10 | Jam level Network Recognition system |
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- 2015-06-10 CN CN201510834942.4A patent/CN105513343B/en active Active
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| CN1790441A (en) * | 2004-12-16 | 2006-06-21 | 上海中油企业集团有限公司 | Urban traffic state real-time observing method and observing system |
| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
| CN101894472A (en) * | 2010-07-28 | 2010-11-24 | 浙江中控研究院有限公司 | System and method for acquiring real-time speed information of motor-driven vehicle |
| CN102855759A (en) * | 2012-07-05 | 2013-01-02 | 中国科学院遥感应用研究所 | Automatic collecting method of high-resolution satellite remote sensing traffic flow information |
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| Publication number | Publication date |
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| CN105513343A (en) | 2016-04-20 |
| CN105427595B (en) | 2016-11-23 |
| CN105427595A (en) | 2016-03-23 |
| CN105023432A (en) | 2015-11-04 |
| CN105513343B (en) | 2016-11-16 |
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