CN115311759A - Method, device and equipment for obtaining vehicle endurance target and storage medium - Google Patents
Method, device and equipment for obtaining vehicle endurance target and storage medium Download PDFInfo
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- CN115311759A CN115311759A CN202210806737.7A CN202210806737A CN115311759A CN 115311759 A CN115311759 A CN 115311759A CN 202210806737 A CN202210806737 A CN 202210806737A CN 115311759 A CN115311759 A CN 115311759A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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- G—PHYSICS
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- 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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
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Abstract
The invention discloses a method, a device, equipment and a storage medium for acquiring a vehicle endurance target, wherein the method comprises the following steps: acquiring running track data of a vehicle, and identifying road intersections in the running track data; according to the identification of road intersections, dividing the driving track of the vehicle into the minimum roads with the optimal number, and combining the repeated minimum roads, wherein the minimum road is an intersection of a head road and a tail road, and the road does not contain any intersection; identifying the minimum road attribute after combination, counting the area driving mileage proportion, the daily driving mileage and the damage value of the driving area of the vehicle, and calculating the total damage of the driving area of the vehicle every day; and determining a vehicle endurance target according to the total damage of the daily driving area of the vehicle. The method and the device can accurately calculate the endurance condition of the vehicle of a single user, and can quickly extract and count the information of the user.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a method, a device, equipment and a storage medium for acquiring a vehicle endurance target.
Background
The durability test of the vehicle on the strengthened pavement in a test yard before the vehicle is on the market is an important link for testing the durability of the vehicle body and the chassis, the result of the vehicle in the test link directly influences the judgment of the durability quality of the important structure of the vehicle, and in order to test whether the durability of the important structure of the vehicle meets the design expectation, the mode of the durability test of the strengthened pavement needs to be associated with the actual vehicle using condition of a user.
At present, a method for acquiring user durability is mainly questionnaire survey, the proportion of a user driving area is presumed from user or after-sales data in a questionnaire consultation mode, and then a user durability target is determined from the damage attribute of the user driving area.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for obtaining a vehicle endurance target, which can accurately calculate the endurance condition of a vehicle under different road conditions and quickly extract and count the information of a user.
In a first aspect, the present application provides a vehicle endurance goal acquiring method, comprising the steps of:
acquiring running track data of a vehicle, and identifying road intersections in the running track data;
according to the identification of road intersections, dividing the driving track of the vehicle into the minimum roads with the optimal number, and combining the repeated minimum roads, wherein the minimum road is an intersection of a head road and a tail road, and the road does not contain any intersection;
identifying the minimum road attribute after combination, counting the area driving mileage proportion, the daily driving mileage and the damage value of the driving area of the vehicle, and calculating the total damage of the driving area of the vehicle every day;
and determining a vehicle endurance target according to the total damage of the daily driving area of the vehicle.
In one possible implementation mode, the running track data of the vehicle is obtained through a GPS, the course angle of a turning point in the running track data is calculated, and a threshold value is set to cluster the turning point;
randomly selecting the non-clustered turning points as seeds, calculating the distances between the seeds and all the non-clustered turning points, clustering all the turning points with the distances smaller than a preset distance into a class, and identifying all the turning points in the clustered class so as to determine the attributes of all the turning points;
and determining the intersection points of the roads in the vehicle driving track data according to the attributes of all the turning points.
In one possible embodiment, the burrs, no signals, sudden changes and overtaking tracks in the GPS signals are repaired according to median filtering and Kalman filtering.
In one possible embodiment, the driving track of the vehicle is divided into the optimal number of minimum roads by identifying the intersection points of the two roads from head to tail, and the minimum roads in the optimal number are merged by traversing the same track.
In one possible implementation mode, corresponding mathematical models are respectively established according to different road attributes; identifying a merged minimum road attribute, wherein the minimum road attribute comprises: urban area, suburb, country, provincial road, country, high speed, mountain road.
In one possible implementation, the vehicle driving track is intercepted according to the boundary, the signal inside the contour is intercepted as urban area and suburban area, and the signal outside the contour is intercepted as national province and country.
In one possible embodiment, according to a formula
Calculating the damage value of the daily driving area of the vehicle, wherein Target is the userEndurance target, R i Is regional mileage proportion, da i Is the zone damage value, dis is the daily mileage of the vehicle, and m is the number of zone divisions.
In a second aspect, the present application provides a vehicle endurance target acquiring apparatus, comprising;
the identification module is used for acquiring the driving track data of the vehicle and identifying road intersections in the driving track data;
the merging module is used for dividing the driving track of the vehicle into the minimum roads with the optimal number according to the identified road intersections, and merging the repeated minimum roads, wherein the minimum roads are the intersections of the first road and the last road, and the roads do not contain any intersections;
the calculation module is used for identifying the combined minimum road attribute, counting the area mileage and daily mileage of the vehicle and the damage value of the driving area, and calculating the total damage of the driving area of the vehicle every day;
and the determining module is used for determining the vehicle endurance target according to the total damage of the daily driving area of the vehicle.
In a third aspect, the present application further provides an electronic device, including: a processor; a memory having computer readable instructions stored thereon which, when executed by the processor, implement the method of any of the first aspects.
In a fourth aspect, the present application also provides a computer readable storage medium storing computer program instructions which, when executed by a computer, cause the computer to perform the method of any of the first aspects.
The method, the device, the equipment and the storage medium for obtaining the vehicle endurance target are used for obtaining the driving track data of the vehicle and identifying the road intersection in the driving track data; according to the identification of road intersections, dividing the driving track of the vehicle into the minimum roads with the optimal number, and combining the repeated minimum roads, wherein the minimum road is an intersection of a head road and a tail road, and the road does not contain any intersection; identifying the minimum road attribute after combination, counting the area mileage proportion, the daily mileage and the damage value of the driving area of the vehicle, and calculating the total damage of the driving area of the vehicle every day; and determining a vehicle durability target according to the total damage of the daily driving area of the vehicle. The method can accurately calculate the endurance conditions of the vehicle under different road conditions, and can quickly extract and count the information of the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart of a method for obtaining a vehicle endurance goal provided in an embodiment of the present application;
FIG. 2 is a schematic view of a vehicle endurance goal obtaining apparatus provided in an embodiment of the present application;
FIG. 3 is a schematic view of a minimum road merge provided in an embodiment of the present application;
FIG. 4 is a schematic diagram of vehicle trajectory optimization provided in an embodiment of the present application;
FIG. 5 is a schematic view of an electronic device provided in an embodiment of the present application;
fig. 6 is a schematic diagram of a computer-readable program medium provided in an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for obtaining a vehicle endurance goal according to the present invention, and as shown in fig. 1, the flowchart includes:
step S101: the driving track data of the vehicle is obtained, and road intersection points in the driving track data are identified.
Specifically, the method includes acquiring travel track data of a vehicle through a sensor mounted on the vehicle, wherein the travel track and the data of the vehicle include: the method comprises the steps of identifying road intersections in vehicle driving track data, namely identifying the turning points in the vehicle driving track data, specifically, after acquiring the vehicle driving track data, processing GPS track signals to improve the identification precision of the turning points, and removing burrs and overtaking tracks, wherein a removing algorithm comprises the steps of carrying out median filtering on longitude, latitude and vehicle speed signals in the driving tracks by taking 4 points as a group, carrying out Kalman filtering on the basis of the kinematic relationship of the longitude, the latitude and the vehicle speed on the basis of the vehicle dynamics principle, carrying out integral calculation on the basis of the kinematic relationship of the longitude, the latitude and the vehicle speed, carrying out angular domain expansion on the basis of the solved mileage information, and repairing thorns, no signals, sudden changes and overtaking tracks contained in the vehicle driving track signals after related calculation to improve the identification precision of the turning points.
Calculating a course angle of the track based on the repaired track, setting a course angle difference angle of 4 degrees as a turning threshold value after taking an absolute value, identifying turning points, clustering the turning points according to the identified turning points, specifically, randomly selecting a turning point object without a category as a seed, then finding all sample sets of which the core object distance threshold value is smaller than a set value as a cluster, and then continuously selecting another core object without a category to find all sample sets of which the core object distance threshold value is smaller than the set value to obtain another cluster. And identifying all turning points in the clustered objects until all the core objects have the categories, determining the attributes of the turning points, and determining the intersection points of the roads in the vehicle driving track data according to the attributes of all the turning points. It is understood that the curve point attributes include curve points and non-curve points.
In one embodiment, all the turning points with similar positions are gathered into one type, then the number of the turning points in the cluster is counted according to a counting method, and when the number of the elements contained in the cluster is smaller than the number of the elements of the preset percentile, the cluster is judged to be a non-intersection (a turning point, a small path entrance and the like).
Step S102: according to the identification of the road intersection points, the driving track of the vehicle is divided into the minimum roads with the optimal number, the repeated minimum roads are combined, the minimum roads are the intersection points of the first road and the last road, and the roads do not contain any intersection points.
And cutting the driving track of the vehicle into a plurality of minimum roads through the identified road intersections, wherein the minimum roads are the intersections of the head roads and the tail roads, and the roads do not contain any intersections. The minimum reason is illustrated, wherein the minimum is understood to mean that the head end of a straight line has two branches, the tail end of the straight line also has two branches, and the middle of the road does not contain any other branch points, namely the minimum road. The minimum roads with repeated tracks in the cut minimum roads are merged, and it can be understood that more repeated data generated when the vehicle runs through the same road exist in the vehicle running track, so that more repeated work exists when the attribute of the area where each track is located is determined, and the minimum roads with the same track are merged, so that the workload of identifying the road attribute of the vehicle running area is reduced.
In one embodiment, the vehicle driving track is compared with the turning point database, if the vehicle driving track passes through a turning point, the track is cut off from the turning point, and the track passing through the same road can be identified by recording types with the same distance in the identification of the cut-off user data and the turning point, so that the rapid combination of the vehicle repeated vehicle driving tracks is realized.
Step S103: and identifying the combined minimum road attribute, counting the area mileage and daily mileage of the vehicle and the damage value of the driving area, and calculating the total damage of the driving area of the vehicle every day.
Specifically, after minimum roads with the same identification track are combined, corresponding mathematical models are respectively established for different road attributes, and the combined minimum road attributes are identified, wherein the road attributes are divided into the following parts according to the positions of the roads and the difference of the damage effect on vehicles: urban area, suburb, country, high speed, mountain road. Determining the attribute of each minimum cut road, and counting the proportion of the vehicle running in each area, wherein the proportion of the vehicle running in the urban area, suburban area, national province, rural area, high speed and mountain road and the total mileage of the vehicle running in each day can be understood, and the damage of each area can be calculated.
It should be noted that, for a rural road of 1km and an urban road of 1km, the damage effect of the ground load on the vehicle is different, and therefore, the damage per kilometer of the rural road and the damage per kilometer of the urban road need to be calculated respectively. And identifying the area where each cut minimum road is located based on the vehicle running track, and identifying the attribute of the area where each cut minimum road is located so as to determine the damage of each minimum road.
In one embodiment, the mountain road identification is performed according to a formula
Wherein the content of the first and second substances,
and the acceleration value after the rolling average of the ith point is obtained, a is the original acceleration value, and N is the average segment data length.
Optionally, with N data pointsCalculating the rolling average of the three-directional acceleration a of the mass center for a group, and extracting the average of the signals
The formula of the angle of the ramp is obtained through the trigonometric relation when the vehicle goes uphill
Wherein the content of the first and second substances,
is the rolling average acceleration in the X direction (longitudinal direction),
for a rolling average acceleration in the Y-direction (sideways),
is the rolling average acceleration in the Z direction (perpendicular to the ground) and theta is the ramp angle.
Optionally, the 30 ° is used as an amplitude limit, the deflection angle θ is deburred, when a signal with a deflection angle larger than 5 ° and a mileage exceeding 1km appears in a road signal, the vehicle is considered to be in a mountain road state, and similarly, when a section of flat road surface is mixed between two mountain roads and the distance of the flat road surface is smaller than 1km, the related road attribute is considered to be a mountain road.
In one embodiment, at high speed identification, the method is based on formula
Rolling average is carried out on the vehicle speed, when the average value is more than 90km/h for continuous 30min, the road section is considered as high speed, wherein
The rolling average speed is, speed is an acceleration value, and N is the average section data length.
In one embodiment, when identifying urban areas, suburbs, national provinces, and rural areas, the user trajectory is intercepted through the boundary, the signals inside the contour are intercepted as urban areas and suburbs, and the signals outside the contour are intercepted as national provinces, and rural areas.
In one embodiment, modeling is carried out based on the acceleration of the spindle head, the accelerations of the spindle head 3 in the directions are summed through vectors, then the pseudo damage in each direction is calculated, and according to the position of the vector in a spherical coordinate, a damage ball with the damage size represented by color can be obtained.
Step S104: and determining a vehicle durability target according to the total damage of the daily driving area of the vehicle.
Specifically, the damage of each region is calculated, the damage of each region is ranked from large to small, fitting is carried out by adopting a Weibull function, and 95% of equally-ranked user damage is solved from the fitted function, namely the target user damage.
Optionally, the GPS signals are acquired through the sensor, the cutting is performed according to turning points extracted from the user GPS signals, and the track recognition is performed by the same method as the user track road attribute recognition, so as to obtain detailed damage data under each road. According to the formula
Calculating the damage value of the daily driving area of the vehicle, wherein Target is the durable Target of the user, and R i Is regional mileage ratio, da i Is the zone damage value, dis is the daily mileage of the vehicle, and m is the number of zone divisions.
The application provides a method, a device, equipment and a storage medium for acquiring a vehicle endurance target, which are used for acquiring the driving track data of a vehicle and identifying road intersections in the driving track data; according to the identification of the road intersection, dividing the driving track of the vehicle into the minimum roads with the optimal number, and combining the repeated minimum roads, wherein the minimum road is the intersection of a head road and a tail road; identifying the minimum road attribute after combination, and counting the driving track occupation ratio of each area of the vehicle to determine the daily driving area occupation ratio of the vehicle; and calculating the damage value of the daily driving area ratio of the vehicle to determine the vehicle endurance target. The method can accurately calculate the endurance conditions of the vehicle under different road conditions, and can quickly extract and count the information of the user.
Referring to fig. 2, fig. 2 is a schematic view of a vehicle endurance goal acquiring apparatus according to the present invention, and as shown in fig. 2, the vehicle endurance goal acquiring apparatus includes:
the identification module 201 is used for acquiring the driving track data of the vehicle and identifying road intersections in the driving track data;
the merging module 202 is configured to divide a driving track of a vehicle into the minimum roads of an optimal number according to the identified road intersections, and merge the repeated minimum roads, where the minimum road is an intersection of two roads, namely a head road and a tail road, and the road does not contain any intersection;
and the calculating module 203 is used for identifying the combined minimum road attribute, counting the area mileage and daily mileage of the vehicle and the damage value of the driving area, and calculating the total damage of the driving area of the vehicle every day.
A determining module 204, configured to determine a vehicle endurance target according to the damage of each region.
Further, in an embodiment, the identification module 201 is further configured to obtain the driving track data of the vehicle through a GPS, calculate a heading angle of a turning point in the track data, and set a threshold to cluster the turning point;
randomly selecting the non-clustered turning points as seeds, calculating the distances between the seeds and all the non-clustered turning points, clustering all the turning points with the distances smaller than a preset distance into a class, and identifying all the turning points in the clustered class so as to determine the attributes of all the turning points;
and determining the intersection points of the roads in the vehicle driving track data according to the attributes of all the turning points.
Further, in an embodiment, the identification module 201 is further configured to repair a spike, no signal, a sudden change, and an overtaking track in the GPS signal according to the median filtering and the kalman filtering.
Further, in an embodiment, the merging module 202 is further configured to divide the driving trajectory of the vehicle into an optimal number of minimum roads by identifying intersections of two roads, and merge the minimum roads in the optimal number that go back and forth through the same trajectory.
Further, in an embodiment, the calculating module 203 is further configured to, for different road attributes, respectively establish corresponding mathematical models to identify a merged minimum road attribute, where the minimum road attribute includes: urban area, suburb, country, high speed, mountain road.
Further, in an embodiment, the determining module 204 is further configured to determine a formula
Calculating the damage value of the daily driving area of the vehicle, wherein Target is the durable Target of the user, and R i Is regional mileage ratio, da i Is the zone damage value, dis is the daily mileage of the vehicle, and m is the number of zone divisions.
Referring to fig. 3, fig. 3 is a schematic view illustrating a minimum road merging provided by the present invention, as shown in fig. 3,
and comparing the vehicle running track with the turning point database, and if a turning point is found in the GPS track, cutting off the track from the turning point. The same distance-based clustering in the identification of the intercepted user data and the turning points can identify the tracks passing through the same road, thereby realizing the rapid combination of the tracks.
Referring to fig. 4, fig. 4 is a schematic diagram illustrating the vehicle trajectory optimization provided by the present invention, as shown in fig. 4,
it can be seen from the figure that the overtaking track signals in the GPS track signals are falling fluctuation, and after the overtaking track signals are removed, the GPS track signals are regular in performance, and it is seen that the change before and after the removal is large.
In one embodiment, the identification precision of turning points can be improved by processing the GPS tracks of the users, namely eliminating interference signals such as burrs, no signals, sudden changes, overtaking tracks and the like.
Optionally, the elimination algorithm is to use 4 points as a group for longitude, latitude and vehicle speed signals in the GPS, develop median filtering, develop kalman filtering based on the vehicle dynamics principle and based on the kinematic relationship of longitude, latitude and vehicle speed, finally develop integral calculation by using the smoothed vehicle speed as an original signal, develop angle domain expansion by using the solved mileage information, and realize the repair of the problems of burrs, no signal, sudden change, overtaking track and the like contained in the GPS signals through calculation.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 that couples various system components including the memory unit 520 and the processing unit 510.
Wherein the storage unit stores program code that is executable by the processing unit 510 to cause the processing unit 510 to perform steps according to various exemplary embodiments of the present invention as described in the section "example methods" above in this specification.
The storage unit 520 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM) 521 and/or a cache memory unit 522, and may further include a read only memory unit (ROM) 523.
The storage unit 520 may also include a program/utility 524 having a set (at least one) of program modules 525, such program modules 525 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 500 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 560. As shown, the network adapter 560 communicates with the other modules of the electronic device 500 over the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, and may also be implemented by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
According to an aspect of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary method" of this description, when said program product is run on said terminal device.
Referring to fig. 6, a program product 600 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
In summary, the method, the device, the equipment and the storage medium for obtaining the durable target of the vehicle, provided by the application, are used for obtaining the driving track data of the vehicle and identifying the road intersection in the driving track data; according to the identification of road intersections, dividing the driving track of the vehicle into the minimum roads with the optimal number, and combining the repeated minimum roads, wherein the minimum road is an intersection of a head road and a tail road, and the road does not contain any intersection; identifying the minimum road attribute after combination, counting the area driving mileage proportion, the daily driving mileage and the damage value of the driving area of the vehicle, and calculating the total damage of the driving area of the vehicle every day; and determining a vehicle durability target according to the total damage of the daily driving area of the vehicle. The method can accurately calculate the endurance conditions of the vehicle under different road conditions, and can quickly extract and count the information of the user.
The foregoing are merely exemplary embodiments of the present application and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A vehicle endurance target acquisition method, comprising:
acquiring running track data of a vehicle, and identifying road intersections in the running track data;
according to the identification of the road intersections, dividing the driving track of the vehicle into the minimum roads with the optimal number, and combining the repeated minimum roads, wherein the minimum road is an intersection of a head road and a tail road, and the road does not contain any intersection;
identifying the minimum road attribute after combination, counting the area driving mileage proportion, the daily driving mileage and the damage value of the driving area of the vehicle, and calculating the total damage of the driving area of the vehicle every day;
and determining a vehicle endurance target according to the total damage of the daily driving area of the vehicle.
2. The method of claim 1, wherein the obtaining travel track data of the vehicle and identifying road intersections in the travel track data comprises:
acquiring the running track data of a vehicle through a GPS, calculating the course angle of a turning point in the running track data and setting a threshold value to cluster the turning point;
randomly selecting the non-clustered turning points as seeds, calculating the distances between the seeds and all the non-clustered turning points, clustering all the turning points with the distances smaller than a preset distance into a class, and identifying all the turning points in the clustered class so as to determine the attributes of all the turning points;
and determining the intersection points of the roads in the vehicle driving track data according to the attributes of all the turning points.
3. The method of claim 2, wherein:
and repairing burrs, no signal, sudden change and overtaking tracks in the GPS signal according to the median filtering and the Kalman filtering.
4. The method of claim 1, wherein merging the repeated minimal roads comprises:
the method comprises the steps of dividing a driving track of a vehicle into the minimum roads with the optimal number by identifying the intersection points of the two roads with the head and the tail, and combining the tracks with the same round trip experience of the minimum roads in the optimal number.
5. The method of claim 1, wherein the identifying the merged minimum road attribute comprises:
respectively establishing corresponding mathematical models aiming at different road attributes; identifying a merged minimum road attribute, wherein the minimum road attribute comprises: urban area, suburb, country, high speed, mountain road.
6. The method of claim 5, wherein:
and intercepting the vehicle running track according to the boundary, wherein the signals inside the contour are intercepted as urban areas and suburbs, and the signals outside the contour are intercepted as national provinces, roads and villages.
7. The method of claim 1, wherein determining a vehicle endurance goal based on the total damage to the daily driving area of the vehicle comprises:
according to the formula
Calculating the damage value of the daily driving area of the vehicle, wherein Target is the durable Target of the user, and R i Is regional mileage ratio, da i Is the zone damage value, dis is the daily mileage of the vehicle, and m is the number of zone divisions.
8. A durable target acquisition apparatus for a vehicle, characterized by comprising:
the identification module is used for acquiring the driving track data of the vehicle and identifying road intersections in the driving track data;
the merging module is used for dividing the driving track of the vehicle into the minimum roads with the optimal number according to the identified road intersections, and merging the repeated minimum roads, wherein the minimum road is an intersection of a head road and a tail road, and the road does not contain any intersection;
the calculation module is used for identifying the combined minimum road attribute, counting the area mileage and daily mileage of the vehicle and the damage value of the driving area, and calculating the total damage of the driving area of the vehicle every day;
and the determining module is used for determining the vehicle durability target according to the total damage of the daily driving area of the vehicle.
9. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory having stored thereon computer readable instructions which, when executed by the processor, implement the method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores computer program instructions which, when executed by a computer, cause the computer to perform the method according to any one of claims 1 to 7.
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