CN207440847U - Travelling data processing unit and system - Google Patents
Travelling data processing unit and system Download PDFInfo
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- CN207440847U CN207440847U CN201720942303.4U CN201720942303U CN207440847U CN 207440847 U CN207440847 U CN 207440847U CN 201720942303 U CN201720942303 U CN 201720942303U CN 207440847 U CN207440847 U CN 207440847U
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Abstract
The utility model embodiment provides a kind of travelling data processing unit and system, belongs to technical field of data processing, solves the problems, such as that existing mobile unit cannot identify the driving behavior of driver.The travelling data processing unit includes：Collecting unit, for according to specify collection mechanism, collection vehicle traveling during travelling data, the travelling data include travel speed, acquisition time, vehicle position information；Processing unit for analyzing the travelling data, obtains travelling data analysis result；Transmitting element, for the travelling data analysis result and user identifier to be sent to server platform, so that travelling data analysis result corresponding with the user identifier is summarized and stored by the server platform, checked convenient for user corresponding with user identifier.The utility model embodiment is suitable for the processing to travelling data.
Description
Technical field
The utility model is related to data processing technique, more particularly to a kind of travelling data processing unit and system.
Background technology
As the improvement of people's living standards, automobile is increasingly subject to people as a kind of vehicles of fast and flexible
Favor.In some high-end vehicles, expensive sensor, electronic radar and monitoring device can be loaded with, based on these
Mobile unit can be monitored the driving behavior of driver.
Present inventor has found that the said program of the prior art has following lack in the process of implementing the utility model
It falls into：Although above-mentioned mobile unit can provide certain safety guarantee for traffic safety, do not possess to driver's row generally
For recognition capability, and since the driving technology of driver is irregular, driver have in vehicle operation it is many not
The operation of safety or damage vehicle, easily causes traffic accident, how driver's driving behavior is identified, to help to drive
Member improves driving habit, becomes current problem to be solved.
Utility model content
The purpose of the utility model embodiment is to provide a kind of travelling data processing unit and system, for solving existing vehicle
Carry the problem of equipment cannot identify the driving behavior of driver.
To achieve these goals, the utility model embodiment provides a kind of travelling data processing unit, including：
Collecting unit, for according to specify collection mechanism, collection vehicle traveling during travelling data, the driving number
According to including travel speed, acquisition time, vehicle position information；
Processing unit for analyzing the travelling data, obtains travelling data analysis result；
Transmitting element, for the travelling data analysis result and user identifier to be sent to server platform, with toilet
It states server platform travelling data analysis result corresponding with the user identifier is summarized and stored, convenient for marking with user
Know corresponding user to check.
Further, the specified collection mechanism includes time collection mechanism and apart from collection mechanism, the time acquisition
Mechanism is the acquisition of interval predetermined time, it is described apart from collection mechanism to be spaced a predetermined distance acquisition.
Further, the collecting unit, being additionally operable to, which ought detect that travel speed is more than or equal to, presets minimum road speed
When, start the travelling data during collection vehicle traveling.
Further, the collecting unit, being additionally operable to, which ought detect that travel speed is less than, presets minimum road speed, and holds
During continuous setting time, stop the travelling data during collection vehicle traveling.
Further, the processing unit includes：
Preprocessing module, for determining driving starting point and driving end point, so as to the driving starting point and driving
The corresponding travelling data in collection point between end point is analyzed.
Further, the preprocessing module includes：
First chooses submodule, for since the running data of first collection point, choosing in the first setting time and adopting
Collect the running data of point；
First comparison sub-module, for by the travel speed in the running data with preset minimum road speed compared with
Compared with；
First determination sub-module, for determining treat corresponding more than or equal to the travel speed for presetting minimum road speed
Survey collection point；
First computational submodule, for calculating the acquisition time of the collection point to be measured, with the collection point to be measured each
The time difference of the acquisition time of corresponding previous collection point, and obtain the sum of described time difference；
Second computational submodule, for calculating the sum of described time difference and the ratio of first setting time；
Driving starting point determination sub-module, for when the ratio is more than or equal to first threshold, determining described first
Collection point is driving starting point.
Further, described first submodule is chosen, is additionally operable to, when the ratio is less than first threshold, adopt from second
The running data of collection point starts, and chooses the running data of collection point in the first setting time.
Further, the preprocessing module includes：
Second chooses submodule, for since the running data of a collection point last, choosing the second setting forward
The running data of collection point in time；
Second comparison sub-module, for by the travel speed in the running data with preset minimum road speed compared with
Compared with；
Second determination sub-module, for determining treat corresponding more than or equal to the travel speed for presetting minimum road speed
Survey collection point；
3rd computational submodule, for calculating the acquisition time of the collection point to be measured, with the collection point to be measured each
The time difference of the acquisition time of corresponding previous collection point, and obtain the sum of described time difference；
4th computational submodule, for calculating the sum of described time difference and the ratio of second setting time；
It drives a vehicle end point determination sub-module, for when the ratio is more than or equal to second threshold, determining described reciprocal the
One collection point is driving end point.
Further, described second submodule is chosen, be additionally operable to when the ratio is less than second threshold, from second from the bottom
The running data of a collection point starts, and chooses the running data of collection point in the second setting time forward.
Further, the processing unit further includes：
Total kilometrage computing module, for according to the corresponding vehicle position in collection point between driving starting point and end point of driving a vehicle
Confidence ceases, and vehicle traveling total kilometrage is calculated.
Further, the processing unit further includes：
Total time-consuming computing module, for calculating the difference of driving end point acquisition time corresponding with starting point of driving a vehicle, really
Determine vehicle traveling total time-consuming.
Further, the processing unit further includes：
Anxious acceleration times computing module, for arbitrarily choosing two companies between the driving starting point and driving end point
Continuous collection point, and the difference of the second collection point and the corresponding travel speed in the first collection point is calculated, and when the difference
During more than anxious acceleration reference factor, anxious acceleration times add up to add one.
Further, the processing unit further includes：
Anxious deceleration number computing module, for arbitrarily choosing two companies between the driving starting point and driving end point
Continuous collection point, and the difference of the first collection point and the corresponding travel speed in the second collection point is calculated, and when the difference
During more than anxious deceleration reference factor, anxious deceleration number adds up to add one.
Further, the vehicle position information includes longitude and latitude, and the processing unit further includes：
Take a sudden turn number computing module, for arbitrarily choosing specified between the driving starting point and driving end point
Several continuous collection points, and the average angle between the collection point is obtained according to the longitude and latitude of the collection point, with
And average speed is obtained according to the travel speed of the collection point, when the average angle and the average speed are respectively greater than suddenly
When angle of turn coefficient and zig zag velocity coeffficient, zig zag number adds up to add one.
On the other hand, the utility model embodiment also provides a kind of travelling data processing system, which is characterized in that including institute
The travelling data processing unit and server platform stated, the server platform, for receiving travelling data analysis result and use
Family identifies, and travelling data analysis result corresponding with the user identifier is summarized and stored.
Through the above technical solutions, using collecting unit according to specified collection mechanism, the row during collection vehicle traveling
Car data, then processing unit the travelling data is analyzed, travelling data analysis result is obtained, by transmitting element by institute
It states travelling data analysis result and user identifier is sent to server platform, so that the server platform will be marked with the user
Know corresponding travelling data analysis result to be summarized and stored, be checked convenient for user corresponding with user identifier.This practicality is new
Type embodiment solves the problems, such as the driving behavior that existing mobile unit cannot identify driver, and user is by checking travelling data
Analysis result improves daily driving habits, plays the role of actively promoting to maintenance love vehicle.
The other feature and advantage of the utility model embodiment will give specifically in subsequent specific embodiment part
It is bright.
Description of the drawings
Attached drawing is that the utility model embodiment is further understood for providing, and a part for constitution instruction,
With explaining the utility model embodiment together with following specific embodiment, but do not form to the utility model embodiment
Limitation.In the accompanying drawings：
Fig. 1 is a kind of structure chart for travelling data processing unit that the utility model embodiment provides；
Fig. 2 is the structure chart for another travelling data processing unit that the utility model embodiment provides；
Fig. 3 is the structure chart for another travelling data processing unit that the utility model embodiment provides；
Fig. 4 is the flow chart for the execution corresponding with Fig. 3 structure charts that the utility model embodiment provides；
Fig. 5 is the structure chart for another travelling data processing unit that the utility model embodiment provides；
Fig. 6 is the flow chart for the execution corresponding with Fig. 5 structure charts that the utility model embodiment provides；
Fig. 7 is the structure chart for another travelling data processing unit that the utility model embodiment provides；
Fig. 8 is the structure chart for another travelling data processing unit that the utility model embodiment provides；
Fig. 9 is the structure chart for another travelling data processing unit that the utility model embodiment provides；
Figure 10 is the structure chart for the yet a further travelling data processing unit that the utility model embodiment provides；
Figure 11 is the structure chart for still another travelling data processing unit that the utility model embodiment provides；
Figure 12 is a kind of structure chart for travelling data processing system that the utility model embodiment provides.
Specific embodiment
The specific embodiment of the utility model embodiment is described in detail below in conjunction with attached drawing.It should be understood that
It is that specific embodiment described herein is merely to illustrate and explains the utility model embodiment is not limited to this reality
Use new embodiment.
The utility model provides a kind of travelling data processing unit, and the travelling data processing unit is set positioned at mobile terminal
It is standby upper, such as the mobile phone terminal based on Android platform or vehicle termination or the mobile phone terminal based on iOS platforms etc., such as scheme
Shown in 1, the travelling data processing unit 10 includes collecting unit 11, processing unit 12 and transmitting element 13.
Wherein, the collecting unit 11, for according to specify collection mechanism, collection vehicle traveling during driving number
According to the travelling data includes travel speed, acquisition time, vehicle position information.
Wherein, the specified collection mechanism includes time collection mechanism and apart from collection mechanism, the time collection mechanism
For the acquisition of interval predetermined time, that is, the travelling data being spaced during predetermined time collection vehicle traveling, such as interval gather for 5 seconds
Travelling data, it is described apart from collection mechanism to be spaced a predetermined distance acquisition, that is, be spaced a predetermined distance during collection vehicle travels
Travelling data, such as interval 3 meters acquisition travelling datas.Above two collection mechanism can be applied to the utility model implementation
In example.
Wherein, vehicle position information can include the geographic position datas such as the longitude of vehicle present position, latitude, height above sea level.
The collecting unit includes bluetooth, and the hardware such as WiFi, GPS are acquired vehicle position information, and bluetooth and WiFi are mainly used to
Assistant GPS verifies the accuracy of location data, and GPS is used for gathering longitude, the geographic position datas such as latitude and height above sea level.The acquisition
Unit further includes gyroscope, is mainly used to gather travel speed, including acceleration.
In addition, the travelling data collected can also be cached to local data base by the collecting unit, for follow-up right
The travelling data is handled.
The processing unit 12 for analyzing the travelling data, obtains travelling data analysis result；
The transmitting element 13, for the travelling data analysis result and user identifier to be sent to server platform,
So that travelling data analysis result corresponding with the user identifier is summarized and is stored by the server platform, convenient for
The corresponding user of user identifier checks.
Wherein, the user identifier is to represent the unique identification information of user, the transmitting element by internet, such as
Travelling data analysis result and user identifier are transmitted to server platform, so that server platform is to same by 4G nets or WiFi
One user, the travelling data analysis result for gathering from each different travelling data processing units and obtaining after handling are summarized
And store, it ensure that the comprehensive and uniformity of travelling data analysis result, also allow for user and check in the later stage.
By the utility model embodiment, using collecting unit according to specified collection mechanism, during collection vehicle traveling
Travelling data, then processing unit the travelling data is analyzed, travelling data analysis result is obtained, by transmitting element
The travelling data analysis result and user identifier are sent to server platform, so that the server platform will be with the use
Family identifies corresponding travelling data analysis result and is summarized and stored, and is checked convenient for user corresponding with user identifier.This reality
Solves the problems, such as the driving behavior that existing mobile unit cannot identify driver with new embodiment, user is by checking driving
Data results improve daily driving habits, play the role of actively promoting to maintenance love vehicle.
In one embodiment of the utility model, the collecting unit 11 is additionally operable to detect that travel speed is more than
During equal to presetting minimum road speed, start the travelling data during collection vehicle traveling.For example, driving starts, work as detection
When being more than or equal to 20km/h to travel speed, that is, think that vehicle enters driving states, start the row during collection vehicle traveling
Car data.Likewise, the collecting unit 11, being additionally operable to, which ought detect that travel speed is less than, presets minimum road speed, and holds
During continuous setting time, stop the travelling data during collection vehicle traveling.Detect that travel speed is less than 20km/ for example, working as
H, and when continuing 1 minute, then stop the travelling data during collection vehicle traveling.
In another embodiment of the utility model, as shown in Fig. 2, the processing unit 12 includes：
Preprocessing module 21, for determining driving starting point and driving end point, so as to the driving starting point and row
The corresponding travelling data in collection point between vehicle end point is analyzed.
During due to driving starting and ending, the corresponding travelling data in collection point is unstable, therefore to starting to gather and terminate
Travelling data during acquisition is handled, and determines really driving starting point and driving end point, so as to be originated to the driving
The corresponding travelling data in collection point between point and driving end point is more accurate when being analyzed.
Wherein, as shown in figure 3, the preprocessing module 21 includes：
First chooses submodule 31, for since the running data of first collection point, choosing in the first setting time
The running data of collection point；
First comparison sub-module 32, for by the travel speed in the running data with preset minimum road speed compared with
Compared with；
First determination sub-module 33, it is corresponding more than or equal to the travel speed for presetting minimum road speed for determining
Collection point to be measured；
First computational submodule 34, it is each with the collection point to be measured for calculating the acquisition time of the collection point to be measured
The time difference of the acquisition time of self-corresponding previous collection point, and obtain the sum of described time difference；
Second computational submodule 35, for calculating the sum of described time difference and the ratio of first setting time；
Starting point of driving a vehicle determination sub-module 36, for when the ratio is more than or equal to first threshold, determining described first
A collection point is driving starting point.
It in addition, described first chooses submodule 31, is additionally operable to when the ratio is less than first threshold, from second acquisition
The running data of point starts, and chooses the running data of collection point in the first setting time.
As shown in figure 4, it is the corresponding process flow of the driving starting point that is handled with submodule shown in Fig. 3：
401st, since the running data of i-th of collection point, the running data of collection point in the first setting time is chosen,
Middle i ∈ N, such as since the running data of the 1st collection point, choose the running data of all collection points within 5 minutes；
402nd, the travel speed in the running data is compared with presetting minimum road speed, for example, will traveling speed
Degree is compared with 20km/h；
403rd, determine more than or equal to the corresponding collection point to be measured of travel speed for presetting minimum road speed；
404th, the acquisition time of the collection point to be measured is calculated, with the corresponding previous acquisition in collection point to be measured
The time difference of the acquisition time of point, and obtain the sum of described time difference；
405th, ratio of the sum of the described time difference with first setting time is calculated；
406th, judge whether the ratio is more than or equal to first threshold；
407th, when the ratio is more than or equal to first threshold, it is greater than being equal to 0.8, it is determined that first collection point
For starting point of driving a vehicle.
408th, when the ratio is less than first threshold, by i=i+1, i.e., since the running data of second collection point,
After the running data of collection point in the first setting time is handled, meet the requirement of step 407, so that it is determined that driving a vehicle
Initial point.
As shown in figure 5, the preprocessing module 21 includes：
Second chooses submodule 51, is set for since the running data of a collection point last, choosing second forward
It fixes time the running data of interior collection point；
Second comparison sub-module 52, for by the travel speed in the running data with preset minimum road speed compared with
Compared with；
Second determination sub-module 53, it is corresponding more than or equal to the travel speed for presetting minimum road speed for determining
Collection point to be measured；
3rd computational submodule 54, it is each with the collection point to be measured for calculating the acquisition time of the collection point to be measured
The time difference of the acquisition time of self-corresponding previous collection point, and obtain the sum of described time difference；
4th computational submodule 55, for calculating the sum of described time difference and the ratio of second setting time；
End point of driving a vehicle determination sub-module 56, for when the ratio is more than or equal to second threshold, determining the inverse
First collection point is driving end point.
In addition, described second chooses submodule 51, it is additionally operable to when the ratio is less than second threshold, from penultimate
The running data of collection point starts, and chooses the running data of collection point in the second setting time forward.
As shown in fig. 6, it is the corresponding process flow of the driving starting point that is handled with the submodule shown in Fig. 5：
601st, since the running data of n-th of collection point, the running data of collection point in the second setting time is chosen,
Middle n ∈ N, such as the sum of collection point are 100, then since the running data of the 100th collection point, choose within 5 minutes
All collection points running data；
602nd, the travel speed in the running data is compared with presetting minimum road speed, for example, will traveling speed
Degree is compared with 20km/h；
603rd, determine more than or equal to the corresponding collection point to be measured of travel speed for presetting minimum road speed；
604th, the acquisition time of the collection point to be measured is calculated, with the corresponding previous acquisition in collection point to be measured
The time difference of the acquisition time of point, and obtain the sum of described time difference；
605th, ratio of the sum of the described time difference with second setting time is calculated；
606th, judge whether the ratio is more than or equal to second threshold；
607th, when the ratio is more than or equal to second threshold, it is greater than being equal to 0.8, it is determined that n-th of acquisition
Point is driving end point, i.e., a collection point last is driving end point.
608th, when the ratio is less than second threshold, by n=n-1, the i.e. running data from penultimate collection point
Start, after the running data of collection point in the second setting time is handled, meet the requirement of step 607, so that it is determined that
Driving end point.
By above-mentioned driving starting point and driving end point determine, to it is described driving starting point and driving end point between
The corresponding travelling data in collection point analyzed, such as total kilometrage calculates, and total time-consuming calculates, and anxious acceleration times calculate, and suddenly subtract
Fast number calculates, and zig zag number calculates etc..
As shown in fig. 7, the processing unit 12 further includes：
Total kilometrage computing module 71, for according to the corresponding vehicle in collection point between driving starting point and end point of driving a vehicle
Vehicle traveling total kilometrage is calculated in location information.
It can add up to the distance between all collection points between driving starting point and end point of driving a vehicle.
As shown in figure 8, the processing unit 12 further includes：
Total time-consuming computing module 81, for calculating the difference of driving end point acquisition time corresponding with starting point of driving a vehicle,
Determine that vehicle travels total time-consuming.
That is, the corresponding acquisition time of the end point that will drive a vehicle, acquisition time corresponding with driving starting point takes difference, so as to really
Determine vehicle traveling total time-consuming.
As shown in figure 9, the processing unit 12 further includes：
Anxious acceleration times computing module 91, for arbitrarily choosing two between the driving starting point and driving end point
Continuous collection point, and the difference of the second collection point and the corresponding travel speed in the first collection point is calculated, and when the difference
When value is more than anxious acceleration reference factor, anxious acceleration times add up to add one.
Wherein, two continuous collection points are arbitrarily chosen between the driving starting point and driving end point, when described
The acceleration between two collection points before two collection points chosen does not accelerate to be anxious, and the second collection point and the first acquisition
When the difference of the corresponding travel speed of point is more than anxious acceleration reference factor, anxious acceleration times add up to add one, i.e., described selection
Two collection points in the second collection point accelerate to be anxious.
As shown in Figure 10, the processing unit 12 further includes：
Anxious deceleration number computing module 101, for arbitrarily choosing two between the driving starting point and driving end point
A continuous collection point, and the difference of the first collection point and the corresponding travel speed in the second collection point is calculated, and when described
When difference is more than anxious deceleration reference factor, anxious deceleration number adds up to add one.
Wherein, when the acceleration between two collection points before two collection points of the selection does not slow down to be anxious, and
When the difference of the corresponding travel speed in first collection point and the second collection point is more than anxious deceleration reference factor, anxious deceleration number
Accumulative plus one, i.e., the second collection point is anxious deceleration in two collection points of described selection.
As shown in figure 11, the vehicle position information includes longitude and latitude, and the processing unit 12 further includes：
Take a sudden turn number computing module 111, refers to for arbitrarily being chosen between the driving starting point and driving end point
Determine the continuous collection point of number, and the average angle between the collection point is obtained according to the longitude and latitude of the collection point
It spends and average speed is obtained according to the travel speed of the collection point, when the average angle and the average speed are distinguished
During more than sharp turn angles coefficient and zig zag velocity coeffficient, zig zag number adds up to add one.
Wherein, corresponding point in rectangular coordinate system is converted to according to the corresponding longitude in collection point and latitude of selection, by
This can calculate the average angle between these collection points, for example, the line of every three collection points obtains an angle, it
It will be averaged afterwards after the angled summation of institute, the average angle between all collection points obtained, by the average angle and zig zag
Coefficient of angularity is compared and obtains average speed according to the travel speed of the collection point, by the average speed and urgency
Turning speed coefficient is compared, when the average angle and the average speed are respectively greater than sharp turn angles coefficient and racing
During curved velocity coeffficient, zig zag number adds up to add one.
Furthermore it is also possible to count running time for different velocity band, for example, for idling (such as travel speed
Scope is less than 5km/h), low speed (such as travel speed scope is 5-20km/h), (such as travel speed scope is 20- to middling speed
40km/h) and at a high speed the running time of (such as travel speed scope is more than 40km/h) each speed interval is counted.It is elected
After taking a collection point, the corresponding travel speed in the collection point is obtained, and judges which speed is the travel speed belong to
Section determines affiliated speed interval, obtains the adjacent corresponding acquisition time in a upper collection point in the collection point afterwards, calculates
Go out the collection point and the difference of the acquisition time of a upper collection point, and the difference is added to the total of affiliated speed interval
In time.
The above-mentioned analysis to travelling data to user by improving driving habit come maintenance van, has very high reference price
Value.
Correspondingly, the utility model embodiment also provides a kind of travelling data processing system, as shown in figure 12, the driving
Data handling system includes travelling data processing unit 10 and server platform 121, the server platform 121, for receiving
Travelling data analysis result corresponding with the user identifier is summarized and is deposited by travelling data analysis result and user identifier
Storage.
No matter which vehicle user drives, and can uniquely determine user identity by user identifier, so as in server
Platform is summarized and is stored to travelling data analysis result corresponding to the user.
It, can be by sending corresponding user identifier, so as to obtain when user wants to check travelling data analysis result
Corresponding travelling data analysis result, user can be browsed by terminal-pair travelling data analysis result, be improved daily
Driving habits play the role of actively promoting to maintenance love vehicle.
The optional embodiment of the utility model example is described in detail above in association with attached drawing, still, the utility model is implemented
Example is not limited to the detail in the above embodiment, can be right in the range of the technology design of the utility model embodiment
The technical solution of the utility model embodiment carries out a variety of simple variants, these simple variants belong to the utility model embodiment
Protection domain.
It is further to note that the specific technical features described in the above specific embodiments, in not lance
In the case of shield, it can be combined by any suitable means.In order to avoid unnecessary repetition, the utility model is implemented
Example no longer separately illustrates various combinations of possible ways.
It will be appreciated by those skilled in the art that it is that can pass through to implement the method for the above embodiments
Program instructs relevant hardware to complete, which uses including some instructions so that one in a storage medium
A (can be microcontroller, chip etc.) or processor (processor) perform the whole of each embodiment the method for the application
Or part steps.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
In addition, can also be combined between a variety of embodiments of the utility model embodiment, as long as
It should equally be considered as the utility model embodiment disclosure of that without prejudice to the thought of the utility model embodiment.
Claims (9)
1. a kind of travelling data processing system, which is characterized in that including travelling data processing unit and server platform, the clothes
Business device platform, for receiving travelling data analysis result and user identifier, by travelling data corresponding with the user identifier point
Analysis result is summarized and is stored.
2. system according to claim 1, which is characterized in that the travelling data processing unit includes：
Collecting unit, for according to specify collection mechanism, collection vehicle traveling during travelling data, the travelling data bag
Include travel speed, acquisition time, vehicle position information；
Processing unit for analyzing the travelling data, obtains travelling data analysis result；
Transmitting element, for the travelling data analysis result and user identifier to be sent to server platform, so as to the clothes
Business device platform travelling data analysis result corresponding with the user identifier is summarized and is stored, convenient for user identifier pair
The user answered checks.
3. system according to claim 2, which is characterized in that the specified collection mechanism include time collection mechanism and away from
From collection mechanism, the time collection mechanism is the acquisition of interval predetermined time, it is described apart from collection mechanism to be spaced a predetermined distance
Acquisition.
4. system according to claim 2, which is characterized in that the collecting unit is additionally operable to detect travel speed
During more than or equal to presetting minimum road speed, start the travelling data during collection vehicle traveling.
5. system according to claim 2, which is characterized in that the collecting unit is additionally operable to detect travel speed
Less than default minimum road speed, and during lasting setting time, stop the travelling data during collection vehicle traveling.
6. system according to claim 2, which is characterized in that the processing unit includes：
Preprocessing module, for determining driving starting point and driving end point, to terminate to the driving starting point and driving
The corresponding travelling data in collection point between point is analyzed.
7. system according to claim 6, which is characterized in that the processing unit further includes：
Anxious acceleration times computing module, it is continuous for arbitrarily choosing two between the driving starting point and driving end point
Collection point, and the difference of the second collection point and the corresponding travel speed in the first collection point is calculated, and when the difference is more than
During anxious acceleration reference factor, anxious acceleration times add up to add one.
8. system according to claim 6, which is characterized in that the processing unit further includes：
Anxious deceleration number computing module, it is continuous for arbitrarily choosing two between the driving starting point and driving end point
Collection point, and the difference of the first collection point and the corresponding travel speed in the second collection point is calculated, and when the difference is more than
During anxious deceleration reference factor, anxious deceleration number adds up to add one.
9. system according to claim 6, which is characterized in that the vehicle position information includes longitude and latitude, described
Processing unit further includes：
Take a sudden turn number computing module, and number is specified for arbitrarily being chosen between the driving starting point and end point of driving a vehicle
Continuous collection point, and the average angle between the collection point, Yi Jigen are obtained according to the longitude and latitude of the collection point
Average speed is obtained according to the travel speed of the collection point, when the average angle and the average speed are respectively greater than zig zag
When coefficient of angularity and zig zag velocity coeffficient, zig zag number adds up to add one.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109102587A (en) * | 2018-07-24 | 2018-12-28 | 中国华能集团清洁能源技术研究院有限公司 | The monitor and monitoring method of equipment running data |
| CN109493448A (en) * | 2018-09-26 | 2019-03-19 | 平安科技（深圳）有限公司 | Driving recording data processing method, device, computer equipment and storage medium |
| CN110047167A (en) * | 2019-04-15 | 2019-07-23 | 上海经达信息科技股份有限公司 | Vehicle zig zag number equivalent statistics method |
| CN110509925A (en) * | 2019-08-29 | 2019-11-29 | 合肥工业大学 | A kind of zig zag recognition methods based on car networking data |
| CN113923623A (en) * | 2021-10-15 | 2022-01-11 | 深圳鼎然信息科技有限公司 | Vehicle driving data acquisition and driving behavior evaluation method and device and mobile terminal |
-
2017
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| CN110047167A (en) * | 2019-04-15 | 2019-07-23 | 上海经达信息科技股份有限公司 | Vehicle zig zag number equivalent statistics method |
| CN110047167B (en) * | 2019-04-15 | 2021-08-17 | 上海经达信息科技股份有限公司 | Equivalent statistical method for sharp turn times of vehicle |
| CN110509925A (en) * | 2019-08-29 | 2019-11-29 | 合肥工业大学 | A kind of zig zag recognition methods based on car networking data |
| CN110509925B (en) * | 2019-08-29 | 2021-03-23 | 合肥工业大学 | Method for identifying sharp turn based on Internet of vehicles data |
| CN113923623A (en) * | 2021-10-15 | 2022-01-11 | 深圳鼎然信息科技有限公司 | Vehicle driving data acquisition and driving behavior evaluation method and device and mobile terminal |
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