CN106840192A - A kind of running state of automotive vehicle decision method of application smart mobile phone - Google Patents
A kind of running state of automotive vehicle decision method of application smart mobile phone Download PDFInfo
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- CN106840192A CN106840192A CN201710066770.XA CN201710066770A CN106840192A CN 106840192 A CN106840192 A CN 106840192A CN 201710066770 A CN201710066770 A CN 201710066770A CN 106840192 A CN106840192 A CN 106840192A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C23/00—Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- Radar, Positioning & Navigation (AREA)
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- Aviation & Aerospace Engineering (AREA)
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- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a kind of running state of automotive vehicle decision method of application smart mobile phone, the acceleration magnitude in lower three directions of mobile phone coordinate system is read by G sensor, and consider the velocity information read by GPS module, judge whether motor vehicle greatly takes a sudden turn process in jiggly accelerator, jiggly moderating process and risk.The present invention is merged to GPS and G sensor data, obtains more accurate acceleration and velocity amplitude, reduces the error that sensing data brings.The present invention do not require to be fixed on smart mobile phone on motor vehicle, but can distinguish acceleration information fluctuation be by user use mobile phone belt, or driving risk sexual behaviour caused by, can be also analyzed when user is using mobile phone, improve customer experience.Data analysing method proposed by the present invention and driving behavior judgment models improve the accuracy rate of risk Activity recognition.
Description
Technical field
The present invention relates to a kind of decision method, specifically a kind of running state of automotive vehicle judgement side of application smart mobile phone
Method.
Background technology
There are a kind of new business model, i.e., the vehicle insurance based on use and driving behavior in current banking and insurance business field
(Usage-Based Insurance, abbreviation UBI).UBI schemes based on the built-in G-sensor of smart mobile phone, GPS module are
UBI schemes that are bantamweight, being easiest to business promotion operation.
A kind of current similar method is that anxious adding is judged using the G-sensor in smart mobile phone, magnetometer by comprehensive
Deceleration event, zig zag event.This method requirement carries out the mathematical computations of complexity, the inefficient and excessive internal memory of occupancy.When
Smart mobile phone is not affixed on motor vehicle, and the accuracy of event judgement is influenceed due to the interference signal produced using mobile phone.Magnetic
The original base data that power meter is produced often easily are disturbed by other factors, and this will reduce the validity of the method.
Another kind method is to directly read linear acceleration by the built-in algorithm of smart mobile phone at present, that is, remove gravity and add
Acceleration after speed influence.The shortcoming of the method is that the smart mobile phone of some brands is not provided with built-in algorithms and directly obtains
Take linear acceleration, and the result that this kind of method is given in some cases is inaccurate.
The content of the invention
It is an object of the invention to provide a kind of running state of automotive vehicle decision method of application smart mobile phone, with solution
State the problem proposed in background technology.
To achieve the above object, the present invention provides following technical scheme：
A kind of running state of automotive vehicle decision method of application smart mobile phone, is read under mobile phone coordinate system by G-sensor
Three acceleration magnitudes in direction, and consider the velocity information read by GPS module, judge motor vehicle whether in injustice
Steady accelerator, jiggly moderating process and risk greatly take a sudden turn process.
As further scheme of the invention：Judge motor vehicle whether in jiggly accelerator, jiggly
Moderating process and risk greatly take a sudden turn process method it is as follows：Steady row is found by a sliding time window first
The time interval sailed：Intensity of variation according to speed judges whether speed is steady in interval, if steady further according to filtered
Acceleration judges whether acceleration is steady, both meets the interval that smooth-ride is just have found after smooth conditions, then right again
The data in the Δ t ' times after the interval are calculated：The gravity factor in acceleration information is removed into acquisition hand first
Machine acceleration in itself, is then carried out judging whether anxious acceleration occur to acceleration information, and anxious deceleration or zig zag event are adopted
Sampling point, if there is then further determining whether anxious acceleration and deceleration event, zig zag event occur using such sampled point.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention is merged to GPS and G-sensor data,
More accurate acceleration and velocity amplitude are obtained, the error that sensing data brings is reduced.The present invention is not required smart mobile phone
It is fixed on motor vehicle, but it is to use mobile phone belt, or driving risk row by user that can distinguish acceleration information fluctuation
For caused, can be also analyzed when user is using mobile phone, improve customer experience.Data analysing method proposed by the present invention
With the accuracy rate that driving behavior judgment models improve risk Activity recognition.
Brief description of the drawings
Fig. 1 is mobile phone coordinate system schematic diagram in running state of automotive vehicle decision method using smart mobile phone；
Fig. 2 is data sampling flow figure in running state of automotive vehicle decision method using smart mobile phone.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Fig. 1~2 are referred to, in the embodiment of the present invention, a kind of running state of automotive vehicle decision method of application smart mobile phone,
The acceleration magnitude in lower three directions of mobile phone coordinate system is read by G-sensor, and considers the speed read by GPS module
Degree information, judges whether motor vehicle is in jiggly accelerator, jiggly moderating process and the great racing of risk
Bend through journey.Judge whether motor vehicle is in jiggly accelerator, jiggly moderating process and the great racing of risk
The method for bending through journey is as follows：The time interval of smooth-ride is found by a sliding time window first：According to the change of speed
Change degree judges whether speed is steady in interval, if steady judge whether acceleration is steady further according to filtered acceleration,
Both the interval that smooth-ride is just have found after smooth conditions is met, then again to the number in the Δ t ' times after the interval
According to being calculated：The gravity factor in acceleration information is removed first obtains mobile phone acceleration in itself, then to acceleration
Data carry out judging whether anxious acceleration occur, anxious to slow down or zig zag event sampled point, if there is then using such sampling
Point further determines whether anxious acceleration and deceleration event, zig zag event occur.
The present invention develops skill by smart mobile phone built-in G-sensor, GPS module using satellite positioning tech and APP
Art, the acceleration in collection mobile phone coordinate system lower three directions, speed and this etc. data sampling time, and set according to following flow
Calculating method.
(1) data sampling method
1.1 are based on APP development environments, configure G-sensor acceleration sampling time intervals；
1.2 are based on APP development environments, configuration GPS module precision, sample frequency；
1.3 merge the speed data that acceleration information is returned with GPS, (xi,yi,zi,Speedi,Timei), wherein：
Data sampling flow figure is shown in Fig. 2.
(2) determine for judging whether motor vehicle is in the time interval Δ t of smooth-ride state
Timing after judging that motor vehicle stroke has been switched on by smart mobile phone, the data clocked in an interval of delta t areEnter the step every time, lose first sampled point in last data set, and update Δ t
Data in time interval；
(3) motor vehicle smooth-ride condition adjudgement
3.1 Steady speed judge
Steady speed condition is：
And
Wherein MaxThreshold and MinThreshold is configurable parameter.When Steady speed condition is unsatisfactory for,
It is back to (one) 1.3；When Steady speed bar meets, (three) 3.2 and ensuing operation are performed.
3.2 acceleration stationarities judge
Even if intelligent mobile phone sensor is when remaining static, the acceleration signal of the higher-order of oscillation can be also produced, be this
Processed using low pass filtering method, the data after note treatment areIt is specifically shown in following formula：
Wherein, (x1,y1,z1) it is the 1st observation in Δ t time intervals, B is configurable parameter, for controlling filtering
Degree.
Acceleration stationarity condition is：
And
And
And
Wherein MaxX, MinX, MaxY, MinY, MaxZ, MinZ are configurable parameter.When acceleration stationarity condition is discontented
When sufficient, (one) 1.3 is returned；When acceleration stationarity condition meets, ensuing operation is performed.
(4) gravity alignment
After time interval of the motor vehicle in smooth-ride is searched out, the original acceleration information that the present invention is obtained is bag
Containing gravity effect, in order to judge the acceleration magnitude of vehicle traveling direction, it is necessary to the influence of acceleration of gravity is gone
Fall.
Remember that the acceleration for removing gravity effect isSee below formula
Wherein,
(5) alignment vector
Whether acceleration magnitude is sufficiently large in 5.1 Δ t ' time intervals
Define vectorAvgDataNFor approximately representing car speed direction.Consider Δ t
The anxious acceleration and deceleration event sampled point that may occur in Δ t ' time intervals after time interval.If sampling in Δ t ' time intervals
Point acceleration magnitude is too small, then illustrate in the interval in the absence of anxious acceleration and deceleration event；Only when sampled point in Δ t ' time intervals
Acceleration magnitude exceedes threshold value calibrationAccMagnitudeThresh, and its velocity variations exceedes
Just further determine whether to be possible anxious acceleration and deceleration event during calibrationSpeedVariation, such as in the Δ t ' times
Qualified sampled point is not found in interval, then updates the sampled point in Δ t time intervals, repeat process described previously herein.
That is, the strategy of algorithm is just processed when automobile starts to show anxious acceleration and deceleration sign, do not process otherwise.
WhereinDefinition see below, claim CalibrationVectorNIt is alignment vector.
Represent and be used for determining whether that anxious acceleration and deceleration event sampled point compares stationary time interval Δ
The absolute value of t initial velocities change, N+Represent the sampled point in Δ t ' time intervals.
(6) anxious acceleration and deceleration event, zig zag event judgment rule
6.1 basic definitions
Acceleration magnitude expression formula (7) is first defined, the size of the acceleration magnitude that automobile is produced is represented.
Wherein
The sampled point in Δ t ' time intervals is represented, the sampled point is by low-pass filtering treatment and carries out
Gravity alignment.
, it is necessary to the sampled point of Δ t ' time intervals, be respectively adopted low after vehicle traveling direction alignment vector is calculated
Pass filter method, recurrence average filter method filter out High-frequency Interference and gravity interference, and calculateThe vector representation
Vector acceleration in automobile Δ t ' time intervals, i.e.,：
Searching meets the N of condition (8) formula+, its position is recorded when finding, and record its time
(8) CalibrationAccForce in formula is configurable parameter, it is necessary to the road according to deifferent regions.China is handed over
Logical environment and humanistic environment determine its value.
6.2 α angles
The acceleration direction of eligible (8) formula is designated as with the angle of vehicle traveling directionThen have：
Wherein | | | | vectorial modular arithmetic is represented, dot product is represented.Car speed direction and the angle in acceleration direction
Following important function is played in terms of automobile attitude and mobile phone state is judged：
●Close to 90 °, show that automobile may be in zig zag；
● mobile phone moment also results in along the movement of vertical vehicle traveling directionClose to 90 °；
● if car owner picks up mobile phone and receives calls, but causes mobile phone to drop accidentally, nowAlso can be close to 90 °；
● under normal circumstances, due to various disturbances,To fluctuate within the specific limits.
6.3 judgment rules
According to analysis above, and data results are combined, determine following anxious acceleration and deceleration event judgment rules：
(1) ifThen it is judged to anxious accelerated events, and willOutput；
(2) ifThen it is judged to anxious deceleration event, and willOutput；
(3) ifThen it is judged to anxious deceleration event, and willOutput；
(4)Then it is judged to anxious accelerated events, and willOutput.
Assuming that meeting having for above-mentioned (1)-(4) conditionAnother restrictive condition is：
The time difference of i.e. any anxious acceleration and deceleration event have to be larger than TimeThreshold.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be in other specific forms realized.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit requires to be limited rather than described above, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as the claim involved by limitation.
Moreover, it will be appreciated that although the present specification is described in terms of embodiments, not each implementation method is only wrapped
Containing an independent technical scheme, this narrating mode of specification is only that for clarity, those skilled in the art should
Specification an as entirety, the technical scheme in each embodiment can also be formed into those skilled in the art through appropriately combined
May be appreciated other embodiment.
Claims (2)
1. a kind of running state of automotive vehicle decision method of application smart mobile phone, it is characterised in that hand is read by G-sensor
The acceleration magnitude in lower three directions of machine coordinate system, and consider the velocity information read by GPS module, judge that motor vehicle is
It is no greatly to be taken a sudden turn process in jiggly accelerator, jiggly moderating process and risk.
2. the running state of automotive vehicle decision method of application smart mobile phone according to claim 1, it is characterised in that judge
Whether motor vehicle greatly takes a sudden turn the method for process in jiggly accelerator, jiggly moderating process and risk
It is as follows：The time interval of smooth-ride is found by a sliding time window first：Intensity of variation according to speed judges area
Whether interior speed is steady, if steady judge whether acceleration is steady further according to filtered acceleration, both meets flat
The interval of smooth-ride is just have found after steady condition, the data in the Δ t ' times after the interval are calculated again then：
The gravity factor in acceleration information is removed first obtains mobile phone acceleration in itself, then acceleration information is judged
Whether anxious acceleration is occurred, it is anxious to slow down or zig zag event sampled point, if there is then being determined whether using such sampled point
Whether anxious acceleration and deceleration event, zig zag event are occurred.
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Cited By (4)
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| CN109671275A (en) * | 2019-02-14 | 2019-04-23 | 成都路行通信息技术有限公司 | A method of obtaining vehicle and traffic behavior |
| CN109677341A (en) * | 2018-12-21 | 2019-04-26 | 深圳市元征科技股份有限公司 | A kind of information of vehicles blending decision method and device |
| CN109708634A (en) * | 2018-12-12 | 2019-05-03 | 平安科技（深圳）有限公司 | Judge automatically method, apparatus, storage medium and the electronic equipment of driving behavior |
| CN112634489A (en) * | 2020-12-09 | 2021-04-09 | 众安在线财产保险股份有限公司 | Vehicle state determination method, device and system based on mobile terminal |
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Application publication date: 20170613 |