CN105513345A - Congestion level analysis platform based on double communication data - Google Patents
Congestion level analysis platform based on double communication data Download PDFInfo
- Publication number
- CN105513345A CN105513345A CN201510835144.3A CN201510835144A CN105513345A CN 105513345 A CN105513345 A CN 105513345A CN 201510835144 A CN201510835144 A CN 201510835144A CN 105513345 A CN105513345 A CN 105513345A
- Authority
- CN
- China
- Prior art keywords
- target road
- road section
- remote sensing
- section
- spot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004891 communication Methods 0.000 title claims abstract description 22
- 230000009977 dual effect Effects 0.000 claims description 19
- 238000010295 mobile communication Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 238000000926 separation method Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a congestion level analysis platform based on double communication data. The analysis platform comprises remote sensing data receiving equipment, field data receiving equipment and master control equipment. The remote sensing data receiving equipment receives remote sensing images, sent by a remote sensing satellite, of a target road section; the field data receiving equipment receives field images, sent by cameras at the position of the target road section, of the target road section; the master control equipment determines the congestion level of the target road section according to the remote sensing images and the field images of the target road section. By means of the congestion level analysis platform based on double communication data, the satellite remote sensing images and the field images are combined for determining the onsite congestion level, and a weight value of each factor in determination of the congestion level can be set up according to cloud thickness.
Description
The divisional application of the patent of " the jam level analysis platforms based on dual communication data " that the present invention is application number is 201510306503.6, the applying date, to be June 6, denomination of invention in 2015 be.
Technical field
The present invention relates to the communications field, particularly relate to a kind of jam level analysis platform based on dual communication data.
Background technology
The congestion in section is one of most important navigation data in navigator, and he helps people to avoid congestion in road section, is convenient to traffic control sector disrtibution path resource.The data accuracy of congestion determines the quality good or not of navigator.
Current, single factor test detecting pattern is generally depended on to the detection of the congestion level in a certain section, such as satellite remote sensing images, on the spot car speed or on the spot photographed images, but single factor test detects the interference being easily subject to self detection system and bringing, such as satellite remote sensing is easily subject to the interference of Cloud layer thickness, causes accuracy of detection not high.
For this reason, the present invention proposes a kind of new section congestion level detection scheme, can by satellite remote sensing images and image combination on the spot, and determine on the spot section congestion level time, adaptively should be two factors rational weighted value is set, thus the accuracy of detection of effective guarantee dual factors detecting pattern of the present invention, the trip for people provides more valuable reference data.
Summary of the invention
In order to solve the technical matters that prior art exists, the invention provides a kind of jam level analysis platform based on dual communication data, based on Cloud layer thickness determination satellite remote sensing date and the weighted value of photographed data two factor when determining target road section jam level on the spot, simultaneously, also introduce high-precision image recognition technology and battery saving mode, improve reliability and the accuracy of analysis platform.
According to an aspect of the present invention, provide a kind of jam level analysis platform based on dual communication data, described analysis platform comprises Remote sensing data reception equipment, on the spot data receiver and main control equipment, described Remote sensing data reception equipment receives the section remote sensing images of the target road section that remote sensing satellite sends, described data receiver on the spot receives the section image on the spot of the target road section that the camera that is in target road section sends, and described main control equipment is according to the jam level of described section remote sensing images and described section image determination on the spot target road section.
More specifically, described based in the jam level analysis platform of dual communication data, also comprise: image recognition apparatus, be connected respectively with described Remote sensing data reception equipment and described data receiver on the spot, for the section remote sensing images determination remote sensing automobile quantity in based target section, for based target section section on the spot image determine automobile quantity on the spot, congestion level request receiving equipment, for the request of the congestion level in receiving target section, the request of the congestion level of described target road section comprises the title of target road section and the mark of requesting terminal, memory device, 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 take cloud thickness as index, save remotely-sensed data weighted value when determining section jam level and data rights weight values on the spot, cloud thickness is larger, remotely-sensed data weighted value is less, data rights weight values is larger on the spot, described automobile upper limit gray threshold and described automobile lower limit gray threshold are used for the automobile in image and background separation, described 9 jam level threshold values according to equally distributed mode value from small to large to determine 10 jam level intervals, query facility, adopt Cloud Server form to realize, be called index with section name, prestored the gps data in each section, described query facility is connected with described main control equipment, for the gps data of the name query target road section in based target section, target road section information transmitting apparatus, be connected with described query facility, for the gps data of target road section being sent to remote sensing satellite and the camera being in target road section, so that remote sensing satellite returns the section remote sensing images of target road section, the camera being convenient to be in target road section returns section image on the spot, cloud thickness requesting service, is connected with described query facility, for the gps data of target road section is sent to local meteorological monitor supervision platform, so that the meteorological monitor supervision platform in described locality is according to the cloud thickness of the gps data determination target road section of target road section, cloud thickness receiving equipment, receives the cloud thickness of the target road section that the meteorological monitor supervision platform in described locality returns, described Remote sensing data reception equipment is for receiving the section remote sensing images of the target road section of remote sensing satellite transmission, described data receiver is on the spot for receiving the section image on the spot of the target road section of the camera transmission being in target road section, described image recognition apparatus comprises image pre-processor, automobile recognizer and microcontroller, described image pre-processor is connected respectively with described Remote sensing data reception equipment and described data receiver on the spot, described automobile recognizer is connected respectively with described image pre-processor and described memory device, described microcontroller is connected with described automobile recognizer, described image recognition apparatus performs following operation to described section remote sensing images: described image pre-processor performs medium filtering successively to described section remote sensing images, edge strengthens and gray processing process, to obtain gray processing remote sensing images, described automobile recognizer is by the pixel identification of gray-scale value in described gray processing remote sensing images between described automobile upper limit gray threshold and described automobile lower limit gray threshold and form multiple remote sensing automobile subimage, the remote sensing automobile quantity of the quantity of multiple remote sensing automobile subimage as target road section exports by described microcontroller, described image recognition apparatus is to the following operation of described section image execution on the spot: to described section, image performs medium filtering to described image pre-processor successively on the spot, edge strengthens and gray processing process, to obtain gray processing image on the spot, described automobile recognizer is by the pixel identification of gray-scale value in described gray processing on the spot image between described automobile upper limit gray threshold and described automobile lower limit gray threshold and form multiple subimage of automobile on the spot, and the on the spot automobile quantity of the quantity of multiple subimage of automobile on the spot as target road section exports by described microcontroller, described main control equipment and described congestion level request receiving equipment, described memory device, described cloud thickness receiving equipment, described Remote sensing data reception equipment is connected respectively with described data receiver on the spot, resolve the request of the congestion level of described target road section with the mark of the title and requesting terminal that obtain target road section, the cloud thickness in based target section finds corresponding remotely-sensed data weighted value and the corresponding weight values of data rights on the spot in the described weight table of comparisons, the remotely-sensed data weighted value of correspondence is multiplied with the remote sensing automobile quantity of target road section, the weight values of data rights on the spot of correspondence is multiplied with the quantity of automobile on the spot of target road section, by two product addition to obtain the congestion level numerical value of target road section, the congestion level numerical value of target road section is dropped on the jam level of the grade in described 10 jam level intervals corresponding to some grade intervals as target road section, congestion level transmitting apparatus, is connected with described main control equipment, for the mark based on described request terminal, the jam level of target road section is sent to described request terminal, wherein, described main control equipment is when the request of congestion level receiving the target road section that congestion level request receiving equipment sends, by described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment and described data receiver on the spot start from battery saving mode, when described main control equipment is after the jam level sending target road section, control described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment and described data receiver on the spot enter battery saving mode.
More specifically, described based in the jam level analysis platform of dual communication data: described congestion level request receiving equipment is the one in GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication interface.
More specifically, described based in the jam level analysis platform of dual communication data: described congestion level transmitting apparatus is the one in GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication interface.
More specifically, described based in the jam level analysis platform of dual communication data, also comprise: display unit equipment, be connected with described main control equipment, for showing the remote sensing automobile quantity of described target road section, the quantity of automobile on the spot of described target road section and the jam level of described target road section.
More specifically, described based in the jam level analysis platform of dual communication data, also comprise: power-supply unit, be connected with described main control equipment, for under the control of described main control equipment, determine whether described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment and described data receiver on the spot enter battery saving mode.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the jam level analysis platform based on dual communication data illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of the jam level analysis platform based on dual communication data of the present invention is described in detail.
Along with the development of auto industry, it is more and more frequent that people rely on automobile to go on a journey, and in strange section, people often need to rely on navigation, avoid congested link, improve traffic efficiency.Thus, the congestion in each section is particularly important in auto navigation.
Current navigator, it generally depends on single factor test pattern to the detection of the congestion in section, and this pattern is easily interfered, and causes the reference data improved not have reference value, even has misleading, for the trip of people brings inconvenience.
In order to overcome above-mentioned deficiency, the present invention has built a kind of jam level analysis platform based on dual communication data, satellite remote sensing images and photographing image field are combined the real-time jam level judging each target road section by weighting scheme, effectively solves the problems of the technologies described above.
Fig. 1 is the block diagram of the jam level analysis platform based on dual communication data illustrated according to an embodiment of the present invention, described analysis platform comprises Remote sensing data reception equipment 1, data receiver 2 and main control equipment 3 on the spot, described Remote sensing data reception equipment 1 receives the section remote sensing images of the target road section that remote sensing satellite sends, described data receiver on the spot 2 receives the section image on the spot of the target road section of the camera transmission being in target road section, described main control equipment 3 is according to the jam level of described section remote sensing images and described section image determination on the spot target road section.
Then, continue to be further detailed the concrete structure of the jam level analysis platform based on dual communication data of the present invention.
Described analysis platform also comprises: image recognition apparatus, be connected with described Remote sensing data reception equipment 1 and described data receiver on the spot difference 2, for the section remote sensing images determination remote sensing automobile quantity in based target section, for based target section section on the spot image determine automobile quantity on the spot.
Described analysis platform also comprises: congestion level request receiving equipment, and for the request of the congestion level in receiving target section, the request of the congestion level of described target road section comprises the title of target road section and the mark of requesting terminal.
Described analysis platform also comprises: memory device, 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 take cloud thickness as index, save remotely-sensed data weighted value when determining section jam level and data rights weight values on the spot, cloud thickness is larger, remotely-sensed data weighted value is less, data rights weight values is larger on the spot, described automobile upper limit gray threshold and described automobile lower limit gray threshold are used for the automobile in image and background separation, described 9 jam level threshold values according to equally distributed mode value from small to large to determine 10 jam level intervals.
Described analysis platform also comprises: query facility, adopt Cloud Server form to realize, be called index with section name, prestored the gps data in each section, described query facility is connected with described main control equipment, for the gps data of the name query target road section in based target section.
Described analysis platform also comprises: target road section information transmitting apparatus, be connected with described query facility, for the gps data of target road section being sent to remote sensing satellite and the camera being in target road section, so that remote sensing satellite returns the section remote sensing images of target road section, the camera being convenient to be in target road section returns section image on the spot.
Described analysis platform also comprises: cloud thickness requesting service, be connected with described query facility, for the gps data of target road section is sent to local meteorological monitor supervision platform, so that the meteorological monitor supervision platform in described locality is according to the cloud thickness of the gps data determination target road section of target road section.
Described analysis platform also comprises: cloud thickness receiving equipment, receives the cloud thickness of the target road section that the meteorological monitor supervision platform in described locality returns.
Described Remote sensing data reception equipment 1 is for receiving the section remote sensing images of the target road section of remote sensing satellite transmission.
Described data receiver on the spot 2 is for receiving the section image on the spot of the target road section of the camera transmission being in target road section.
Described image recognition apparatus comprises image pre-processor, automobile recognizer and microcontroller, described image pre-processor is connected respectively with described Remote sensing data reception equipment 1 and described data receiver on the spot 2, described automobile recognizer is connected respectively with described image pre-processor and described memory device, described microcontroller is connected with described automobile recognizer, described image recognition apparatus performs following operation to described section remote sensing images: described image pre-processor performs medium filtering successively to described section remote sensing images, edge strengthens and gray processing process, to obtain gray processing remote sensing images, described automobile recognizer is by the pixel identification of gray-scale value in described gray processing remote sensing images between described automobile upper limit gray threshold and described automobile lower limit gray threshold and form multiple remote sensing automobile subimage, the remote sensing automobile quantity of the quantity of multiple remote sensing automobile subimage as target road section exports by described microcontroller, described image recognition apparatus is to the following operation of described section image execution on the spot: to described section, image performs medium filtering to described image pre-processor successively on the spot, edge strengthens and gray processing process, to obtain gray processing image on the spot, described automobile recognizer is by the pixel identification of gray-scale value in described gray processing on the spot image between described automobile upper limit gray threshold and described automobile lower limit gray threshold and form multiple subimage of automobile on the spot, and the on the spot automobile quantity of the quantity of multiple subimage of automobile on the spot as target road section exports by described microcontroller.
Described main control equipment 3 and described congestion level request receiving equipment, described memory device, described cloud thickness receiving equipment, described Remote sensing data reception equipment 1 is connected respectively with described data receiver on the spot 2, resolve the request of the congestion level of described target road section with the mark of the title and requesting terminal that obtain target road section, the cloud thickness in based target section finds corresponding remotely-sensed data weighted value and the corresponding weight values of data rights on the spot in the described weight table of comparisons, the remotely-sensed data weighted value of correspondence is multiplied with the remote sensing automobile quantity of target road section, the weight values of data rights on the spot of correspondence is multiplied with the quantity of automobile on the spot of target road section, by two product addition to obtain the congestion level numerical value of target road section, the congestion level numerical value of target road section is dropped on the jam level of the grade in described 10 jam level intervals corresponding to some grade intervals as target road section.
Described analysis platform also comprises: congestion level transmitting apparatus, is connected with described main control equipment 3, for the mark based on described request terminal, the jam level of target road section is sent to described request terminal.
Wherein, described main control equipment 3 is when the request of congestion level receiving the target road section that congestion level request receiving equipment sends, by described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment 1 and described data receiver on the spot 2 start from battery saving mode, when described main control equipment 3 is after the jam level sending target road section, control described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment 1 and described data receiver on the spot 2 enter battery saving mode.
Alternatively, described congestion level request receiving equipment is the one in GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication interface; Described congestion level transmitting apparatus is the one in GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication interface; Described analysis platform also comprises: display unit equipment, is connected with described main control equipment 3, for showing the remote sensing automobile quantity of described target road section, the quantity of automobile on the spot of described target road section and the jam level of described target road section; Described analysis platform also comprises: power-supply unit, be connected with described main control equipment 3, for under the control of described main control equipment 3, determine whether described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment 1 and described data receiver on the spot 2 enter battery saving mode.
In addition, FPGA (Field-ProgrammableGateArray), i.e. field programmable gate array, he is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD.He occurs as a kind of semi-custom circuit in special IC (ASIC) field, has both solved the deficiency of custom circuit, overcomes again the shortcoming that original programming device gate circuit number is limited.
With the circuit design that hardware description language (Verilog or VHDL) completes, can through simple comprehensive and layout, being burned onto fast on FPGA and testing, is the technology main flow of modern IC designs checking.These can be edited element and can be used to realize some basic logic gates (such as AND, OR, XOR, NOT) or more more complex combination function such as demoder or mathematical 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 be coupled together the logical block of FPGA inside by editable connection as required, just looks like that a breadboard has been placed in a chip.One dispatch from the factory after the logical block of finished product FPGA can change according to deviser with being connected, so FPGA can complete required logic function.
FPGA is in general slow than the speed of ASIC (special IC), realizes same function ratio ASIC circuit area and wants large.But they also have a lot of advantages such as can finished product fast, can be modified the mistake in correction program and more cheap cost.Manufacturer also may provide the FPGA of cheap still edit capability difference.Because these chips have poor can edit capability, so exploitations of these designs complete on common FPGA, then design is transferred to one and is similar on the chip of ASIC.Another method is with CPLD (ComplexProgrammableLogicDevice, CPLD).The exploitation of FPGA has a great difference relative to the exploitation of conventional P C, single-chip microcomputer.FPGA, based on concurrent operation, realizes with hardware description language; Very large difference is had compared to the sequential operation of PC or single-chip microcomputer (no matter being von Neumann structure or Harvard structure).
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA includes the Programmadle logic unit of some relatively large amount.The density of CPLD logic gate is between several thousand to several ten thousand logical blocks, and FPGA normally arrives millions of several ten thousand.The key distinction of CPLD and FPGA is their system architecture.CPLD is a somewhat restrictive structure.This structure is arranged by the logical groups of one or more editable result sum and forms with the register of the locking of some relatively small amounts.Such result lacks editor's dirigibility, but but have the time delay and logical block that can estimate to the advantage of linkage unit height ratio.And FPGA has a lot of linkage units, although allow him edit more flexibly like this, structure is complicated many.
Adopt the jam level analysis platform based on dual communication data of the present invention, for the technical matters that single factor test section congestion level detecting pattern testing result precision in prior art is not high, satellite remote sensing images and photographing image field are combined by weighting scheme, carry out graduation to the congestion level of each target road section to judge, thus provide more valuable navigation data for people.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (2)
1. the jam level analysis platform based on dual communication data, described analysis platform comprises Remote sensing data reception equipment, on the spot data receiver and main control equipment, described Remote sensing data reception equipment receives the section remote sensing images of the target road section that remote sensing satellite sends, described data receiver on the spot receives the section image on the spot of the target road section that the camera that is in target road section sends, and described main control equipment is according to the jam level of described section remote sensing images and described section image determination on the spot target road section.
2., as claimed in claim 1 based on the jam level analysis platform of dual communication data, it is characterized in that, described analysis platform also comprises:
Image recognition apparatus, be connected respectively with described Remote sensing data reception equipment and described data receiver on the spot, for the section remote sensing images determination remote sensing automobile quantity in based target section, for based target section section on the spot image determine automobile quantity on the spot;
Congestion level request receiving equipment, for the request of the congestion level in receiving target section, the request of the congestion level of described target road section comprises the title of target road section and the mark of requesting terminal;
Memory device, 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 take cloud thickness as index, save remotely-sensed data weighted value when determining section jam level and data rights weight values on the spot, cloud thickness is larger, remotely-sensed data weighted value is less, data rights weight values is larger on the spot, described automobile upper limit gray threshold and described automobile lower limit gray threshold are used for the automobile in image and background separation, described 9 jam level threshold values according to equally distributed mode value from small to large to determine 10 jam level intervals,
Query facility, adopt Cloud Server form to realize, be called index with section name, prestored the gps data in each section, described query facility is connected with described main control equipment, for the gps data of the name query target road section in based target section;
Target road section information transmitting apparatus, be connected with described query facility, for the gps data of target road section being sent to remote sensing satellite and the camera being in target road section, so that remote sensing satellite returns the section remote sensing images of target road section, the camera being convenient to be in target road section returns section image on the spot;
Cloud thickness requesting service, is connected with described query facility, for the gps data of target road section is sent to local meteorological monitor supervision platform, so that the meteorological monitor supervision platform in described locality is according to the cloud thickness of the gps data determination target road section of target road section;
Cloud thickness receiving equipment, receives the cloud thickness of the target road section that the meteorological monitor supervision platform in described locality returns;
Described Remote sensing data reception equipment is for receiving the section remote sensing images of the target road section of remote sensing satellite transmission;
Described data receiver is on the spot for receiving the section image on the spot of the target road section of the camera transmission being in target road section;
Described image recognition apparatus comprises image pre-processor, automobile recognizer and microcontroller, described image pre-processor is connected respectively with described Remote sensing data reception equipment and described data receiver on the spot, described automobile recognizer is connected respectively with described image pre-processor and described memory device, described microcontroller is connected with described automobile recognizer, described image recognition apparatus performs following operation to described section remote sensing images: described image pre-processor performs medium filtering successively to described section remote sensing images, edge strengthens and gray processing process, to obtain gray processing remote sensing images, described automobile recognizer is by the pixel identification of gray-scale value in described gray processing remote sensing images between described automobile upper limit gray threshold and described automobile lower limit gray threshold and form multiple remote sensing automobile subimage, the remote sensing automobile quantity of the quantity of multiple remote sensing automobile subimage as target road section exports by described microcontroller, described image recognition apparatus is to the following operation of described section image execution on the spot: to described section, image performs medium filtering to described image pre-processor successively on the spot, edge strengthens and gray processing process, to obtain gray processing image on the spot, described automobile recognizer is by the pixel identification of gray-scale value in described gray processing on the spot image between described automobile upper limit gray threshold and described automobile lower limit gray threshold and form multiple subimage of automobile on the spot, and the on the spot automobile quantity of the quantity of multiple subimage of automobile on the spot as target road section exports by described microcontroller,
Described main control equipment and described congestion level request receiving equipment, described memory device, described cloud thickness receiving equipment, described Remote sensing data reception equipment is connected respectively with described data receiver on the spot, resolve the request of the congestion level of described target road section with the mark of the title and requesting terminal that obtain target road section, the cloud thickness in based target section finds corresponding remotely-sensed data weighted value and the corresponding weight values of data rights on the spot in the described weight table of comparisons, the remotely-sensed data weighted value of correspondence is multiplied with the remote sensing automobile quantity of target road section, the weight values of data rights on the spot of correspondence is multiplied with the quantity of automobile on the spot of target road section, by two product addition to obtain the congestion level numerical value of target road section, the congestion level numerical value of target road section is dropped on the jam level of the grade in described 10 jam level intervals corresponding to some grade intervals as target road section,
Congestion level transmitting apparatus, is connected with described main control equipment, for the mark based on described request terminal, the jam level of target road section is sent to described request terminal;
Wherein, described main control equipment is when the request of congestion level receiving the target road section that congestion level request receiving equipment sends, by described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment and described data receiver on the spot start from battery saving mode, when described main control equipment is after the jam level sending target road section, control described query facility, described target road section information transmitting apparatus, described cloud thickness requesting service, described cloud thickness receiving equipment, described Remote sensing data reception equipment and described data receiver on the spot enter battery saving mode,
Described congestion level request receiving equipment is the one in GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication interface;
Described congestion level transmitting apparatus is the one in GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510835144.3A CN105513345B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510306503.6A CN104952247B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
| CN201510835144.3A CN105513345B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510306503.6A Division CN104952247B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105513345A true CN105513345A (en) | 2016-04-20 |
| CN105513345B CN105513345B (en) | 2016-09-21 |
Family
ID=54166867
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510835144.3A Expired - Fee Related CN105513345B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
| CN201510835142.4A Active CN105513344B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
| CN201510306503.6A Expired - Fee Related CN104952247B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
Family Applications After (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510835142.4A Active CN105513344B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
| CN201510306503.6A Expired - Fee Related CN104952247B (en) | 2015-06-06 | 2015-06-06 | Jam level analysis platforms based on dual communication data |
Country Status (1)
| Country | Link |
|---|---|
| CN (3) | CN105513345B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106408944A (en) * | 2016-11-17 | 2017-02-15 | 国网山东省电力公司东营供电公司 | Congestion level analysis platform based on double communication data |
| CN107806863A (en) * | 2017-11-07 | 2018-03-16 | 潘柏霖 | A kind of unattended reservoir monitoring system |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327901A (en) * | 2016-09-12 | 2017-01-11 | 四川长虹电器股份有限公司 | Safe travel system and safe travel method of preventing road congestion based on mobile terminal |
| CN108960028B (en) * | 2018-03-23 | 2019-04-05 | 重庆赢盛达科技有限公司 | Congestion level based on image analysis judges system |
| CN111047856B (en) * | 2019-04-09 | 2020-11-10 | 浙江鸣春纺织股份有限公司 | Multi-channel congestion index acquisition platform |
| CN111798664B (en) * | 2020-09-08 | 2020-11-24 | 武汉中科通达高新技术股份有限公司 | Illegal data identification method and device and electronic equipment |
| CN112307922A (en) * | 2020-10-23 | 2021-02-02 | 泰州芯源半导体科技有限公司 | Remote sensing data transceiving-based crisis analysis platform |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5862244A (en) * | 1995-07-13 | 1999-01-19 | Motorola, Inc. | Satellite traffic reporting system and methods |
| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
| 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 |
| CN102889892A (en) * | 2012-09-13 | 2013-01-23 | 东莞宇龙通信科技有限公司 | Live-action navigation method and navigation terminal |
| CN104008665A (en) * | 2013-02-23 | 2014-08-27 | 东莞康特尔电子有限公司 | Traffic real-time image system for Beidou satellite navigation positioning and method thereof |
-
2015
- 2015-06-06 CN CN201510835144.3A patent/CN105513345B/en not_active Expired - Fee Related
- 2015-06-06 CN CN201510835142.4A patent/CN105513344B/en active Active
- 2015-06-06 CN CN201510306503.6A patent/CN104952247B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5862244A (en) * | 1995-07-13 | 1999-01-19 | Motorola, Inc. | Satellite traffic reporting system and methods |
| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
| 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 |
| CN102889892A (en) * | 2012-09-13 | 2013-01-23 | 东莞宇龙通信科技有限公司 | Live-action navigation method and navigation terminal |
| CN104008665A (en) * | 2013-02-23 | 2014-08-27 | 东莞康特尔电子有限公司 | Traffic real-time image system for Beidou satellite navigation positioning and method thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106408944A (en) * | 2016-11-17 | 2017-02-15 | 国网山东省电力公司东营供电公司 | Congestion level analysis platform based on double communication data |
| CN107806863A (en) * | 2017-11-07 | 2018-03-16 | 潘柏霖 | A kind of unattended reservoir monitoring system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105513345B (en) | 2016-09-21 |
| CN105513344A (en) | 2016-04-20 |
| CN104952247A (en) | 2015-09-30 |
| CN104952247B (en) | 2016-08-24 |
| CN105513344B (en) | 2016-08-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105513345A (en) | Congestion level analysis platform based on double communication data | |
| CN104835329B (en) | Based on the section congestion level detection system of remote sensing communication | |
| CN109190481B (en) | Method and system for extracting road material of remote sensing image | |
| CN101571997A (en) | Method and device for fusion processing of multi-source traffic information | |
| CN104851302B (en) | A kind of jam level Network Recognition method | |
| CN109325409B (en) | Passing vehicle fake plate inspection platform | |
| CN104851296B (en) | A kind of section based on remote sensing communication degree detecting system of blocking up | |
| CN111414878B (en) | Social attribute analysis and image processing method and device for land parcels | |
| CN113935442A (en) | Method and device for classifying automatic driving function test roads of automobile and storage medium | |
| CN111739293A (en) | Data fusion method and device | |
| CN113033493A (en) | Target object inspection method and device, electronic equipment and storage medium | |
| CN108932839A (en) | A kind of colleague's vehicle judgment method and device | |
| CN114760330A (en) | Data transmission method, device, storage medium and system for Internet of vehicles | |
| CN104851297B (en) | A kind of jam level analysis platform based on dual communication data | |
| CN105513347B (en) | Use the rear car realtime monitoring system of data communication mode | |
| CN105513343A (en) | Congestion level network identification system | |
| CN116401111B (en) | Function detection method and device of brain-computer interface, electronic equipment and storage medium | |
| CN117894181A (en) | Global traffic abnormal condition integrated monitoring method and system | |
| CN205508128U (en) | Bus dispatching control platform based on control box | |
| CN115620069A (en) | Target identification method and device, terminal equipment and storage medium | |
| CN114662792A (en) | Traffic flow prediction method of recurrent neural network based on convolution of dynamic diffusion graph | |
| CN105679013A (en) | Bus dispatching control platform based on control box | |
| CN116433302A (en) | Store location method and electronic equipment | |
| CN116630916A (en) | Object detection method, device, equipment and storage medium | |
| CN117058616A (en) | Parking specification judging method, device, equipment, medium and product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Wang Yan Inventor after: Wang Yuanyuan Inventor after: Sun Mingyu Inventor before: Liu Jian |
|
| COR | Change of bibliographic data | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160819 Address after: 257091, No. 357, South Road, Dongcheng, Shandong, Dongying Applicant after: DONGYING POWER SUPPLY COMPANY, STATE GRID SHANDONG ELECTRIC POWER CO., LTD. Applicant after: State Grid Corporation of China Address before: 271099 No. 6 Longtan Road, Taishan District, Shandong, Tai'an Applicant before: Liu Jian |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160921 Termination date: 20170606 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |