CN109729164A - Intelligent network joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method - Google Patents
Intelligent network joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method Download PDFInfo
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Abstract
The present invention discloses a kind of intelligent network connection Automobile Computing Platform Che Duanyu cloud operation grade distribution method, it is so that vehicle end execution requirement of real-time is high, calculation amount is small, calculates from vehicle characteristic data with strong points, cloud executes the data that computationally intensive, sharing is strong, requirement of real-time is low and is calculated as criterion, scene information rank function F (t) of the building one about the time, set a function threshold, calculating task is executed beyond the clouds when the value of F (t) is more than or equal to the threshold value, executes calculating task at vehicle end when the value of F (t) is less than the threshold value.The present invention is shared out the work and helped one another by the resource-sharing in the cloud Che Duanyu, can be for intelligent, intelligent network joins the computing platform design considerations of automobile under net connectionization background, and solution intelligent automobile operation system is huge, the problem of computational burden weight.
Description
Technical field
The present invention relates to intelligent network connection car datas to calculate, and in particular to intelligent network joins the cloud Automobile Computing Platform Che Duanyu
Operation grade distribution method.
Background technique
With the application of the technologies such as internet, artificial intelligence, cloud computing and big data, the intelligence of automobile, Networking journey
Spend higher and higher, the development of intelligent automobile automatic Pilot technology, and efficient In-vehicle networking, countless communication interfaces is general
And completely new challenge is proposed to automobile.Increase severely for example, intelligent network joins automobile with extraneous information interaction amount, therewith bring
Data processing load increases, and vehicle system will also become complicated huge, this is undesirable for intelligent automobile manufacture.
With shared, the application of cloud platform of big data, automobile developer and manufacturer want to more utilize this
A little resources realize resource-sharing, mitigate the computational burden of vehicle, simplify architectural framework, realize the lightweight of vehicle as far as possible.So
And the considerations of being an impediment to the rate limitation and information security of current cloud platform (hereinafter referred to as cloud) communication, these resources are also at present
Do not reach effectively shared, cloud is only used as the data source at vehicle computing platform (hereinafter referred to as vehicle end), and intelligent driving vehicle
Calculating work be concentrated mainly on the computing platform at vehicle end.But this phenomenon with the communication technology from now on development (such as
Develop the high speed network of 5G, 6G) and information security technology progress and laws and regulations it is sound, be not suitable at last, intelligence
The computation burden of vehicle will be increasing, how to distribute the calculating task in cloud Yu vehicle end at that time, how to cooperate, thus
Optimal path and movement are cooked up to vehicle, it will be a huge problem.
At present in intelligent driving field, the calculating task specific division of labor not yet how is distributed to cloud and vehicle end, therefore,
The reasonable division of labor mode of research, makes great efforts the standardization of construction intelligent vehicle data computation module, docks with big data cloud platform, letter
Change vehicle system, reduce vehicle computing platform cost, is the project for being worth research.
Summary of the invention
In order to realize resource-sharing, shares out the work and helps one another, developed using Internet technology, the present invention puts forth effort on the solution prior art
Middle intelligent automobile operation system is huge, the problem of computational burden weight, provides a kind of intelligent network connection Automobile Computing Platform Che Duanyu cloud
Hold operation grade distribution method.
The technical solution used in the present invention is as follows: a kind of intelligent network connection Automobile Computing Platform Che Duanyu cloud operation grade
Distribution method, with vehicle end execution requirement of real-time is high, calculation amount is small, calculates from vehicle characteristic data with strong points, cloud is executed
Data computationally intensive, that sharing is strong, requirement of real-time is low are calculated as criterion, scene information grade letter of the building one about the time
Number F (t)；For the scene information rank function F (t), a function threshold is set, when the value of F (t) is more than or equal to the threshold value
When execute calculating task beyond the clouds, when the value of F (t) be less than the threshold value when vehicle end execute calculating task.
Further, the scene information rank function F (t) of building is as follows:
F (t)=[N+V+C] * η1*η2*η3*η4*η5*η6
In formula, F (t) is t moment scene information rank function value；N is in scene from vehicle ambient intelligence terminal number parameter,
V is from vehicle speed parameter；C is road network condition parameter；η1Coefficient, η are influenced for visibility2Coefficient is influenced for section history accident rate,
η3Coefficient, η are influenced for vehicle congestion4Influence coefficient, η are arbitrarily walked for non-motor vehicle or pedestrian5Coefficient, η are influenced for signal lamp6
Coefficient is influenced for fastlink.
Further, a function threshold is defined for every money vehicle.
Further, for intelligent terminal number of parameters N in scene, value range is set as 1~n, according to from around vehicle
The number value of intelligent terminal, surrounding terminal number is more, and value is bigger.
Further, from the speed parameter V of vehicle, value range is set as 0~n, according to from vehicle current vehicle speed value, works as vehicle
When speed is less than or equal to 20km/h, V value is 0, and when speed is higher, value is bigger.
Further, for road network condition parameter C, value range is set as 0~n, current bandwidth accounts for road according to certain section
The ratio value of net maximum bandwidth, the ratio that current bandwidth accounts for road network maximum bandwidth is bigger, and value is bigger.
Further, for the value upper limit n in each parameter, it is natural number, is set according to vehicle.
Further:
Coefficient η is influenced for visibility1, visibility is higher, and value is smaller；
Coefficient η is influenced for section history accident rate2, section history accident rate is lower, and value is smaller；
Coefficient η is influenced for vehicle congestion3, congestion is lighter, and value is smaller；
Non-motor vehicle or pedestrian, which are arbitrarily walked, influences coefficient η4, non-motor vehicle or pedestrian's interference are more serious, and value is got over
It is small；
Coefficient η is influenced for signal lamp5, having traffic lights section value relatively large, without traffic lights section value phase
To smaller；
Coefficient η is influenced for fastlink6, in fastlink, value is relatively large, and in non-high-speed section, value is opposite
It is smaller.
Further, coefficient value is respectively influenced between 0~1.
Compared with prior art, the present invention significantly has the beneficial effect that:
After 1. the present invention utilizes the cloud Che Duanyu cooperated computing, cloud to distribute a part of calculating task, vehicle computing platform
Calculation power demand will be greatly reduced, to reduce the cost of vehicle end computing platform.
It is grinding for vehicle end and cloud calculating from now on 2. the operating bounds in cloud and vehicle computing platform can be divided clearly
Study carefully and specific division of labor range has been determined, reduces computing redundancy or deficiency.
3. combining national conditions, it is contemplated that the road conditions and vehicle congestion road conditions that weather, pedestrian and vehicle are arbitrarily walked enrich
The applicable scene of " Yun Guanduan " system.
4. all calculating can upload to cloud storage in real time, data sharing is provided for other vehicles.
Other features and advantages of the present invention will illustrate in the following description, and partial become from specification
It is clear that understand through the implementation of the invention.
Specific embodiment
The present invention is described in detail below with reference to embodiment, but it will be appreciated by those skilled in the art that, below
Embodiment is not the unique restriction made to technical solution of the present invention, all to be done under technical solution of the present invention Spirit Essence
Any equivalents or change are regarded as belonging to the scope of protection of the present invention.
The present invention combines the basic framework and cloud platform, Internet technology characteristic of current intelligent vehicle, according to vehicle end and
The computing capability and work emphasis in cloud, the basic principle taken is: vehicle end being mainly used for realize that requirement of real-time is high, counts
Calculation amount is smaller, calculates just for the data of vehicle individual character, by cloud be mainly used for realizing calculation amount is huge, sharing is strong,
The relatively low data of requirement of real-time calculate.And the computing capability and specific algorithm due to vehicle end computing platform are different, it can not
Divided rank is gone with unified standard, so the present invention takes corresponding to different road conditions and scene, to scene locating for vehicle
Classification processing is carried out, the division of labor in vehicle end and cloud is calculated in this, as benchmark, obtains unified measurement.
The present invention is from multiple dimensions such as the information processing capacity of scene, information processing real-time and current network conditions, structure
The scene information rank function about the time is built, is embodied in benefit, building rank function is as follows:
F (t)=[N+V+C] * η1*η2*η3*η4*η5*η6
If it is bigger to set rank function value, then it represents that calculating task is heavier beyond the clouds, if rank function value is smaller, in vehicle
Hold the calculating task weight executed.
Wherein, F (t) is t moment scene information rank function value；N is in scene from vehicle ambient intelligence terminal number parameter
(such as vehicle, roadside device, base station of end to end communication etc. can be carried out), by t moment from the intelligent terminal number around vehicle
It determines；V is the speed parameter from vehicle, by determining from vehicle current vehicle speed；C is road network condition parameter, and by the section, current bandwidth is accounted for
The ratio of the network maximum bandwidth determines；η1~η6For various influence factor correction factors, wherein set visibility influence coefficient as
η1, it is η that section history accident rate, which influences coefficient,2, it is η that vehicle congestion, which influences coefficient,3, non-motor vehicle or pedestrian arbitrarily walk influence
Coefficient is η4, it is η that signal lamp, which influences coefficient,5, it is η that fastlink, which influences coefficient,6, other influence coefficients can accumulate.
Above each parameter is all indicated with numerical quantization, finally constitutes numerical evaluation function.
The setting of the above parameter and correction factor is on the basis of vehicle, and for every money vehicle, these parameters, which have, uniformly to be set
Calibration is quasi-, is only to illustrate setting method with embodiment below, not to the restriction of a certain vehicle or all vehicles.
The information exchange between " end and end " is carried out from Che Keyu ambient intelligence terminal, intelligent terminal number is more, more advantageous
Communication between " end and end ".Can be according to from vehicle feature for every money vehicle, it can sets itself surrounding intelligence in the process of moving
Energy terminal number is to its affecting parameters N.It is natural number that the setting principle of parameter, which is by 1~n, n, and surrounding terminal number is more, ginseng
Number value is bigger.
For example, when number of terminals is less around, can setup parameter rank it is slightly lower, by one terminal of every increase or two ends
As soon as when end or minizone, an incremental parametric degree is then all attributed to highest parametric degree when quantity is more.As table 1 is passed the imperial examinations at the provincial level
Example, ambient intelligence terminal number can set affecting parameters as 1 when within 2, be set as 2 when reaching 3, be set as when reaching 4
3 ..., 10 are set to after reaching 10.
Table 1:
| Surrounding vehicles number | 2 | 3 | 4 | … | 10 | … |
| Parameter N | 1 | 2 | 3 | … | 10 | 10 |
Certainly, other access rules can also be set, such as with 2 Che Weiyi parametric degrees of every increase, value is 1 at 1~2,
Value is 2 at 3~4 ..., 10~... it is 6.
From the speed parameter V of vehicle, mainly related with from the current speed of vehicle, speed is higher, needs to locate within the unit time
The information content of reason is bigger, it is desirable that the computing capability for calculating end is stronger.Speed is higher, and parameter rank is higher, and value is bigger, e.g., if
Determining parameter value range is 0~n, and it is 0 that speed, which is less than or equal to V value when 20km/h, equidistant to divide when speed is greater than 20km/h
N grade is all set to peak n more than 120km/h later.As shown in table 2, setting n maximum is taken as 10.
Table 2:
Certain section road network condition parameter C, the ratio that current bandwidth accounts for prevailing conditions lower network maximum bandwidth by the section are determined
It is fixed, if the ratio that current bandwidth accounts for network maximum bandwidth is bigger, illustrate that network capacity is strong, cloud can quickly transmit calculating
As a result, mitigating the computation burden at vehicle end.The range of net condition parameter C is equally set as 1~n, limit accounting is that current bandwidth accounts for
The 100% of prevailing conditions lower network maximum bandwidth, so road network condition parameter C can be set as maximum value, such as the value 4 in table 3.It is right
In intermediate accounting situation, sectional value is 2 if 0~0.4 value of accounting in table 3 is 1,0.4~0.6 value.It can also press
The incremental value of equivalence, such as 0.1 ratio of every rising are incremented by an order of magnitude, until ratio is 1.
Table 3:
Other than above-mentioned principal element, there are also weather conditions, section accident, and vehicle congestion, non-motor vehicle or pedestrian are random
It walks, situations such as signal lamp, fastlink, the computing capability of the above-mentioned factor can be impacted, therefore, some shadows can be set
Coefficient is rung for scene information amendment.Setting visibility influences coefficient as η1, it is η that section history accident rate, which influences coefficient,2, vehicle gathers around
The stifled coefficient that influences is η3, non-motor vehicle or pedestrian walk influence coefficient arbitrarily as η4, it is η that signal lamp, which influences coefficient,5, fastlink
Influence coefficient is η6, can be accumulated if any other influence factors.
(1) in the case that bad weather or visibility are too low, the Limited information acquired in the vehicle onboard sensor needs benefit
Decision is carried out with communicating between cloud and other vehicles, road on a large scale, thus travel route and operation of the planning from vehicle, therefore,
The visibility more end Gao Shiche computing capability is stronger, and visibility influences coefficient η1It is smaller.
(2) it takes place frequently section in traffic accident, cloud is analyzed using the traffic accident data before the section, to advise from vehicle
The transit route and operation of safe and reasonable are marked, cloud can carry out in advance the section when from vehicle close to Frequent Accidents section
Emergency route planning, from after the vehicle safety section, path also can be used as path data deposit when subsequent vehicle passes through, because
This, section history accident impact rate coefficient η when zero defects2It is minimum.
(3) in vehicle congestion section, Vehicle Speed is slower, lower to the requirement of real-time of data processing, and surrounding
Vehicle is more, and calculative data volume is huge, thus selects cloud to cook up quick transit route from vehicle, and cloud can tie
The ambient conditions such as transit route and the signal lamp of surrounding vehicles are closed, cook up quick, safe lead to for each car of congested link
Mode is crossed, vehicle end only takes over when receiving the danger early warning for meeting with collision, therefore, coefficient is influenced when congestion is lighter
η3It is smaller.
(4) section is arbitrarily walked in pedestrian or motor vehicle, it is irregular to pedestrian around or non-motor vehicle needs to calculate end
Fast reaction is made in movement, thus very high to the requirement of real-time of calculating, and vehicle end sensor can incude surrounding pedestrian or non-in real time
Motor vehicle, and instruction is quickly issued, commander is safely and reasonably avoided from vehicle, therefore, is there is non-motor vehicle or pedestrian's interference
In the case where, influence coefficient η4Value is smaller, and interference is more serious, and value is smaller.
(5) having section near signal lamp intersection, vehicle route is relatively regular, cloud can according to front signal light state and
The state of front vehicles is that safety, economic route are cooked up from vehicle.For example, several distances and rear is without vehicle in front of away from red light
With at any time, cloud commander since vehicle it is in place slide, when guaranteeing from vehicle near arriving signal lamp, signal lamp becomes
Green；It without signal lamp section, generally requires vehicle end and makes emergency processing, so requirement of real-time is high.Therefore, there is signal
The specifications such as lamp section signal lamp influences coefficient η5Value is bigger, is not having signal lamp section, is influencing coefficient η5Value is smaller.
(6) in express highway section, vehicle environmental is relatively simple, lower to the requirement of real-time for calculating end, and cloud can be right
Vehicle route is made rational planning for.Such as it is planned for right-hand lane in time before expressway exit, and import highway
When entrance, to vehicle is imported and the vehicle in lane is planned, while avoiding collision, the row of other vehicles is not influenced
It sails.Therefore, in fastlink, coefficient η is influenced6Value is relatively large；In non-high-speed section, coefficient η is influenced6Value is relatively small.
The above coefficient value is between 0~1.
It can be accumulated if any other influence factors, therefore, scene information rank function is extended to:
F (t)=[N+V+C] * η1*η2*η3*η4*η5*η6*η7*…*ηn
Therefore the design principle of scene information rank function F (t), scene information processing etc. is judged according to functional value
Grade, functional value is bigger, and calculating task beyond the clouds is bigger, and functional value is smaller, and the calculating task at vehicle end is bigger.For every money vehicle
Type can customize a function threshold, execute calculating task beyond the clouds more than or equal to the threshold value, is less than the threshold value at vehicle end and executes meter
Calculation task.The present invention makes full use of the respective advantage in the cloud Che Duanyu, is performed in unison with calculating task, it can be achieved that efficient parsing is automatic
Driving condition, the purpose for driving path of making rational planning for.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.
Claims (9)
1. a kind of intelligent network joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method, which is characterized in that held with vehicle end
Row requirement of real-time is high, calculation amount is small, calculates from vehicle characteristic data with strong points, cloud execution is computationally intensive, sharing is strong,
The low data of requirement of real-time are calculated as criterion, scene information rank function F (t) of the building one about the time；
For the scene information rank function F (t), set a function threshold, when the value of F (t) is more than or equal to the threshold value
Cloud executes calculating task, executes calculating task at vehicle end when the value of F (t) is less than the threshold value.
2. intelligent network according to claim 1 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method, special
Sign is that the scene information rank function F (t) of building is as follows:
F (t)=[N+V+C] * η1*η2*η3*η4*η5*η6
In formula, F (t) is t moment scene information rank function value；N is the number of parameters of ambient intelligence terminal in scene；V is certainly
The speed parameter of vehicle；C is road network condition parameter；η1Coefficient, η are influenced for visibility2Coefficient, η are influenced for section history accident rate3
Coefficient, η are influenced for vehicle congestion4Influence coefficient, η are arbitrarily walked for non-motor vehicle or pedestrian5Coefficient, η are influenced for signal lamp6For
Fastlink influences coefficient.
3. intelligent network according to claim 1 or 2 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method,
It is characterized in that, defines a function threshold for every money vehicle.
4. intelligent network according to claim 2 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method, special
Sign is, for, from vehicle ambient intelligence terminal number N, setting value range in scene as 1~n, according to whole from vehicle ambient intelligence
The number value at end, surrounding terminal number is more, and value is bigger.
5. intelligent network according to claim 2 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method, special
Sign is, for the speed parameter V from vehicle, sets value range as 0~n, according to from the current real-time speed value of vehicle, works as speed
When less than 20km/h, T value is 0, and speed is higher, and value is bigger.
6. intelligent network according to claim 2 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method, special
Sign is, for road network condition parameter C, sets value range as 0~n, current bandwidth accounts for road network maximum bandwidth according to certain section
Ratio value, the ratio that current bandwidth accounts for road network maximum bandwidth is bigger, and value is bigger.
7. joining Automobile Computing Platform Che Duanyu cloud operation ranking score formula according to intelligent network described in claim 4 or 5 or 6
Method, which is characterized in that for the value upper limit n in each parameter, be natural number, set according to vehicle.
8. intelligent network according to claim 4 or 5 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method,
It is characterized in that,
Coefficient η is influenced for visibility1, visibility is higher, and value is smaller；
Coefficient η is influenced for section history accident rate2, section history accident rate is lower, and value is smaller；
Coefficient η is influenced for vehicle congestion3, congestion is lighter, and value is smaller；
Non-motor vehicle or pedestrian, which are arbitrarily walked, influences coefficient η4, non-motor vehicle or pedestrian's interference are more serious, and value is smaller；
Coefficient η is influenced for signal lamp5, having signal lamp section value relatively large, relatively without signal lamp section value
It is small；
Coefficient η is influenced for fastlink6, in fastlink, value is relatively large, and in non-high-speed section, value is relatively small.
9. the intelligent network according to claim 2 or 8 joins Automobile Computing Platform Che Duanyu cloud operation grade distribution method,
It is characterized in that, each coefficient value that influences is between 0~1.
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| CN114147700A (en) * | 2020-09-08 | 2022-03-08 | 深圳果力智能科技有限公司 | Intelligent mobile robot system |
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