CN109883531A - Vehicle vibration kind identification method and system based on acceleration transducer - Google Patents
Vehicle vibration kind identification method and system based on acceleration transducer Download PDFInfo
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- CN109883531A CN109883531A CN201910165432.0A CN201910165432A CN109883531A CN 109883531 A CN109883531 A CN 109883531A CN 201910165432 A CN201910165432 A CN 201910165432A CN 109883531 A CN109883531 A CN 109883531A
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Abstract
The present invention proposes the vehicle vibration kind identification method based on acceleration transducer, comprising the following steps: acceleration transducer acquires vehicle acceleration data in real time and carries out high-pass filtering processing；The difference for calculating the acceleration information by high-pass filtering processing of current time acquisition and the acceleration information by high-pass filtering processing of last moment acquisition, draws and updates PI curve, extracts vibration feature according to PI curve；By extracted vibration feature compared with the vibration type in database, matched vibration type, can confirm the vibration type of vehicle if it exists；Matched vibration type if it does not exist, then continue to repeat the above steps.The present invention also proposes the system using the above method, including acceleration transducer, digital high-pass filter, processor, and wherein acceleration transducer is connect by digital high-pass filter with processor.The present invention can effectively identify vehicle vibration type, improve the recognition efficiency of vehicle vibration type, improve user experience.
Description
Technical field
The present invention relates to car networking application fields, more particularly, to a kind of vehicle vibration based on acceleration transducer
Kind identification method and system.
Background technique
Vehicle intelligent equipment will start parking safety protection function after general vehicle parking, when vehicle is because being tapped or other reasons
When causing to generate significant shock, security system for vehicles can generate security alarm.Common vehicle vibration judgement side currently on the market
Method is: using the motion terminals mode of acceleration transducer, after vehicle parking, certain threshold being arranged to acceleration transducer
Value, acceleration transducer is in real time acquired the acceleration information of vehicle, when the acceleration that acceleration transducer collects
When difference between the acceleration of last time acquisition is more than the threshold value of setting, one can be triggered on the interruption foot of acceleration transducer
A interruption, while processor is sent by the data of acquisition, judge whether to issue security protection report by carrying out after processor calculation processing
It is alert.
However, the biggish vibration of vehicle can only be recognized in the prior art, such as vehicle is tapped, vehicle window is pounded, but not
It can identify specific vibration reason, can not such as judge to influence that vehicle is caused to shake or due to artificially causing due to typhoon weather
Vehicle rock, be easy to cause wrong report.And acceleration transducer is there are internal noise, the threshold value set by the acceleration transducer
When too small, it is easy that acceleration transducer triggering is caused to be interrupted due to the internal noise of acceleration transducer, leads to that vehicle is caused to pacify
False alarm prevention.
Summary of the invention
The present invention is to overcome described in the above-mentioned prior art because that can not identify that vehicle vibration type causes to be easy to produce wrong report
Defect, a kind of vehicle vibration kind identification method based on acceleration transducer is provided.
In order to solve the above technical problems, technical scheme is as follows:
Vehicle vibration kind identification method based on acceleration transducer, comprising the following steps:
S1: acceleration transducer acquires the acceleration information of vehicle in real time, then carries out acceleration information collected
High-pass filtering processing；
S2: the acceleration information by high-pass filtering processing of current time acquisition and the process of last moment acquisition are calculated
The difference of the acceleration information of high-pass filtering processing；
S3: drawing according to the difference and updates PI curve, then extracts vibration feature by PI curve；
S4: compared with by the extracted vibration feature vibration features for shaking type different in database: when being extracted
Vibration feature and a certain vibration type when matching, confirm that the vibration type of vehicle is matched vibration type；When not depositing
In matched vibration type, step S1 is jumped to.
In the technical program, by the way that acceleration information collected is carried out high-pass filtering processing, it can effectively filter and add
The internal noise of velocity sensor, to avoid causing to trigger security alarm due to acceleration transducer internal noise.In addition, this
Technical solution is by the acceleration information through high-pass filtering processing of calculating current time acquisition with last moment acquisition through height
The difference of the acceleration information of pass filter processing, and drawn according to difference calculated and update PI curve and extract vibration feature.
When some the vibration type matching stored in extracted vibration feature and database, the shake of vehicle can be recognized accurately
Dynamic type, it is ensured that car alarming is accurate.
Preferably, acceleration information is the acceleration information in the X-axis, Y-axis, Z-direction of acceleration transducer.
Preferably, the acceleration information handled by high-pass filtering and upper a period of time that current time acquires were calculated in step S2
The calculation formula for carving the difference of the acceleration information by high-pass filtering processing of acquisition is as follows:
X '=Xcurrent-Xprevious
Y '=Ycurrent-Yprevious
Z '=Zcurrent-Zprevious
Wherein, Xcurrent、Ycurrent、ZcurrentIndicate the warp of the current time acquisition in three axis direction of acceleration transducer
Cross the acceleration information of high-pass filtering processing, Xprevious、Yprevious、ZpreviousIt indicates in three axis direction of acceleration transducer
The acceleration information of last moment acquisition handled by high-pass filtering, X ', Y ', current time acquisition in three axis direction of Z ' expression
The acceleration information by high-pass filtering processing and last moment acquisition the acceleration information by high-pass filtering processing
Difference.
Preferably, in the PI curve in step S3, the calculation formula of PI is as follows:
PI=| X ' |+| Y ' |+| Z ' |
Wherein, PI is the summation of the absolute value of the data difference in three axis direction of acceleration transducer.
Preferably, the vibration feature in step S3 includes at least one of the following: the value of wave crest, the value of trough, wave crest and wave
The time difference between time difference, wave crest and next wave crest between paddy, slope of a curve.
Preferably, the vibration feature of the different vibration types stored in the database in step S4 is different by acquisition
It shakes the sample of type and therefrom extracts common vibration feature and obtain.The vibration type stored in the database of this preferred embodiment
Corresponding vibration is characterized in the great amount of samples by acquiring different vibration types and therefrom extracts its corresponding common vibration feature
Afterwards, it is saved by system typing, therefore does not need the adjustment setting of user's individual, and the calculation amount of processor can be effectively reduced,
The real-time of discrimination and algorithm is improved simultaneously, realizes quickly identification vehicle vibration type.
The present invention also proposes a kind of vehicle vibration identification system based on acceleration transducer, including acceleration sensing
Device, digital high-pass filter, processor, wherein the input terminal of the output end of acceleration transducer and digital high-pass filter connects
It connects, the output end of digital high-pass filter and the input terminal of processor connect；
Wherein, the acceleration transducer for acquiring the acceleration information of vehicle in real time, through digital high-pass filter
It is sent in processor after filter action, processor calculates the acceleration information of current time acquisition handled by high-pass filtering
With the difference of the acceleration information by high-pass filtering processing of last moment acquisition, the processor is according to difference calculated
It draws and updates PI curve, vibration feature is then extracted by PI curve, the processor is by extracted vibration feature and number
Vibration feature according to the different vibration types in library compares, when extracted vibration feature matches with a certain vibration type,
The vibration type that can confirm vehicle is matched vibration type.
In the technical program, acceleration transducer for acquiring the acceleration information of vehicle, digital high-pass filter in real time
The internal noise generated for filtered acceleration sensor internal is to avoid impacting the data processing of processor, processing
Device is calculated, updates PI curve and is extracted vibration feature to the acceleration information collected by high-pass filtering processing, is led to
The vibration features for crossing vibration types different from what is stored in database match the vibration type of determining vehicle.
Compared with prior art, the beneficial effect of technical solution of the present invention is: it can effectively identify vehicle vibration type, it is real
It now accurately identifies vehicle vibration and precisely warns；Calculation amount is few, improves the recognition efficiency of vehicle vibration type, it is ensured that in real time
Property；The phenomenon that effectively reducing wrong report improves user experience.
Detailed description of the invention
Fig. 1 is the flow chart of the vehicle vibration kind identification method of the present embodiment.
Fig. 2 is the structural schematic diagram of the vehicle vibration identification system of the present embodiment.
3-axis acceleration schematic diagram data when Fig. 3 is shaken for vehicle.
PI curve graph when Fig. 4 is shaken for vehicle.
Fig. 5 is the PI curve graph that door handle for vehicle is drawn.
Wherein: 1. acceleration transducers；2. digital high-pass filter；3. processor.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product
Size；
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
As shown in Figure 1, the flow chart of the vehicle vibration kind identification method based on acceleration transducer for the present embodiment.
The vehicle vibration kind identification method based on acceleration transducer of the present embodiment the following steps are included:
S1: acceleration transducer 1 acquires the acceleration information of vehicle in real time, then carries out acceleration information collected
High-pass filtering processing, wherein the acceleration information of the current time vehicle collected of acceleration transducer 1 is acceleration transducer
1 X-axis, Y-axis, the acceleration information in Z-direction.
S2: the acceleration information by high-pass filtering processing of current time acquisition and the process of last moment acquisition are calculated
The difference of the acceleration information of high-pass filtering processing.Current time acquisition by high-pass filtering processing acceleration information with it is upper
The specific formula for calculation of the difference of the acceleration information by high-pass filtering processing of one moment acquisition is as follows:
X '=Xcurrent-Xprevious
Y '=Ycurrent-Yprevious
Z '=Zcurrent-Zprevious
Wherein, Xcurrent、Ycurrent、ZcurrentIndicate the warp of the current time acquisition in three axis direction of acceleration transducer
Cross the acceleration information of high-pass filtering processing, Xprevious、Yprevious、ZpreviousIt indicates in three axis direction of acceleration transducer
The acceleration information of last moment acquisition handled by high-pass filtering, X ', Y ', current time acquisition in three axis direction of Z ' expression
The acceleration information by high-pass filtering processing and last moment acquisition the acceleration information by high-pass filtering processing
Difference.
S3: drawing according to step S2 difference calculated and update PI curve, then extracts vibration feature by PI curve.
Wherein, the PI value in PI curve is the summation of the absolute value of the data difference in three axis direction of acceleration transducer,
Its calculation formula is as follows:
PI=| X ' |+| Y ' |+| Z ' |,
In addition, including at least one of the following: the value of wave crest, the value of trough, wave by the extracted vibration feature of PI curve
The time difference between time difference, wave crest and next wave crest between peak and trough, slope of a curve.
S4: compared with by the extracted vibration feature vibration features for shaking type different in database: when being extracted
Vibration feature and a certain vibration type when matching, confirm that the vibration type of vehicle is matched vibration type；When not depositing
In matched vibration type, step S1 is jumped to.
The vibration of the different vibration types stored in database in the present embodiment is characterized in by acquiring different vibration classes
Then the great amount of samples of type is therefrom extracted the corresponding common vibration feature of each vibration type and is obtained.Obtain different vibration types point
After other common vibration feature, in the database by the common vibration characteristic storage.In the specific use process, when extracted
It is identical with the vibration feature that database is stored to shake feature, or when in its error range, that is, indicates extracted vibration spy
It levies vibration type corresponding with this to match, the vibration type of current vehicle is the vibration type of Corresponding matching in database.
Acceleration is based on using one kind of the vehicle vibration kind identification method based on acceleration transducer of the present embodiment
The vehicle vibration identification system of sensor, structural schematic diagram are as shown in Figure 2.
Vehicle vibration identification system based on acceleration transducer, including acceleration transducer 1, Digital High Pass Filter
Device 2, processor 3, wherein the output end of acceleration transducer 1 is connect with the input terminal of digital high-pass filter 2, digital high-pass filter
The output end of wave device 2 is connect with the input terminal of processor 3.
Due to inside acceleration transducer there are internal noise, digital high-pass filter in the present embodiment can effectively by
Internal noise filtering in acceleration transducer acceleration information collected, avoids internal noise from causing the judgement of processor
It influences.
In the specific implementation process, acceleration transducer 1 acquires the acceleration information of vehicle, acceleration collected in real time
It is sent in processor 3 after the high-pass filtering processing that data pass through digital high-pass filter 2 and carries out calculation processing, processor 3 is counted
Calculate the acceleration information of current time acquisition handled by high-pass filtering and handling by high-pass filtering for last moment acquisition
Acceleration information difference, processor 3 draws according to difference calculated and updates PI curve, is then extracted according to PI curve
It shakes feature and works as institute compared with processor 3 is by the vibration feature of extracted vibration feature vibration type different in database
When the vibration feature of extraction and a certain vibration type match, processor 3 confirms that the vibration type of vehicle is matched vibration
Type；When matched vibration type is not present, repeat the above steps.
Specifically, when vehicle is shaken, acceleration transducer 1 in real time acquisition vehicle acceleration information, at this time plus
Velocity sensor 1 collected X-axis, Y-axis, the acceleration information of Z axis it is as shown in Figure 3.In 3-axis acceleration schematic diagram data
X-axis indicate the time, y-axis indicates the value of acceleration information, and is single at gravity acceleration g by 3-axis acceleration data reduction
The data of position, wherein g is the size of an acceleration of gravity, about 9.8m/s2.Processor 3 adopts acceleration transducer 1 in real time
The acceleration information progress calculation processing of the X-axis, Y-axis, Z axis that collect, by the data difference in three axis direction of acceleration transducer
Absolute value adduction, and be depicted as PI curve.As shown in figure 4, PI curve graph when being shaken for vehicle.Processor 3 is according to drawing
The PI curve graph of system extracts vibration feature, as wave crest value, the value of trough, peaks and troughs between time difference, wave crest is under
The characteristic values such as time difference, slope of a curve between one wave crest.Feature is shaken as can be seen from Figure 4 are as follows: Wave crest and wave trough alternately goes out
Now and the difference of the value of a bit of time, the value of wave crest and trough is kept to be no more than 45mg.By extracted vibration feature and number
It is compared according to the different types of characteristic value stored in library, when extracted vibration feature is in a certain vibration type vibration feature
When in error range, that is, indicate to meet the vibration type.
When door handle for vehicle when pulled, acceleration transducer 1 in real time acquisition vehicle acceleration information, it is collected plus
It is sent in processor 3 after the high-pass filtering processing that speed data passes through digital high-pass filter 2 and carries out calculation processing, processor
3 acceleration informations of calculating current time acquisition handled by high-pass filtering and passing through at high-pass filtering for last moment acquisition
The difference of the acceleration information of reason, processor 3 are drawn according to difference calculated and update PI curve, PI curve signal at this time
Figure is as shown in Figure 5.As can be seen from Figure 5, the vibration feature of current vehicle includes: one-off there are two peak value, a peak value compared with
Another small peak value is larger, has that the regular hour is poor, entire movement has regular hour limitation between two peak values.It can incite somebody to action at this time
The different types of characteristic value stored in extracted vibration feature and database compares, extracted vibration feature and data
Door handle for vehicle is pulled corresponding vibration type and matches in library, the vibration feature of extracted vibration feature and the type
Identical or in its error range, for database by corresponding vibration type information back in processor 3, processor 3 is true at this time
Recognize other vehicle vibration type to be pulled for door handle for vehicle.
The vehicle vibration kind identification method and system based on acceleration transducer in the present embodiment, can effectively identify
The phenomenon that vehicle vibration type, realization accurately identifies vehicle vibration and precisely warns, effectively reduce wrong report, improves user's body
It tests, and overall calculation amount is few, effectively increases the recognition efficiency of vehicle vibration type, it is ensured that the reality of vehicle vibration type identification
Shi Xing.
The same or similar label correspond to the same or similar components；
The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent；
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (7)
1. the vehicle vibration kind identification method based on acceleration transducer, which comprises the following steps:
S1: acceleration transducer acquires the acceleration information of vehicle in real time, and acceleration information collected is then carried out high pass
Filtering processing；
S2: the acceleration information by high-pass filtering processing of current time acquisition and the process high pass of last moment acquisition are calculated
The difference of the acceleration information of filtering processing；
S3: drawing according to the difference and updates PI curve, then extracts vibration feature by PI curve；
S4: compared with by the vibration feature of extracted vibration feature vibration type different in database: when extracted shake
When dynamic feature and a certain vibration type match, confirm that the vibration type of vehicle is matched vibration type；When there is no with
When its vibration type to match, step S1 is jumped to.
2. vehicle vibration kind identification method according to claim 1, it is characterised in that: the acceleration information is to accelerate
Spend the acceleration information in the X-axis, Y-axis, Z-direction of sensor.
3. vehicle vibration kind identification method according to claim 2, it is characterised in that: calculated in the step S2 current
The acceleration information by high-pass filtering processing of moment acquisition and the high-pass filtering of passing through of last moment acquisition handle acceleration
The calculation formula of the difference of data is as follows:
X '=Xcurrent-Xprevious
Y '=Ycurrent-Yprevious
Z '=Zcurrent-Zprevious
Wherein, Xcurrent、Ycurrent、ZcurrentIndicate the process high pass of current time acquisition in three axis direction of acceleration transducer
The acceleration information of filtering processing, Xprevious、Yprevious、ZpreviousIndicate upper a period of time in three axis direction of acceleration transducer
Carve the acceleration information of acquisition handled by high-pass filtering, X ', Y ', in three axis direction of Z ' expression current time acquisition process
The difference of the acceleration information by high-pass filtering processing of the acceleration information and last moment acquisition of high-pass filtering processing.
4. vehicle vibration kind identification method according to claim 3, it is characterised in that: the PI curve in the step S3
The calculation formula of the value of middle PI is as follows:
PI=| X ' |+| Y ' |+| Z ' |
Wherein, PI is the summation of the absolute value of the data difference in three axis direction of acceleration transducer.
5. vehicle vibration kind identification method according to any one of claims 1 to 4, it is characterised in that: the step S3
In vibration feature include at least one of the following:
Time difference, song between the value of wave crest, the value of trough, the time difference between peaks and troughs, wave crest and next wave crest
The slope of line.
6. vehicle vibration kind identification method according to claim 5, it is characterised in that: the database in the step S4
The vibration feature of middle stored different vibration types is the sample by acquiring different vibration types and therefrom extracts common shake
Dynamic feature obtains.
7. a kind of vehicle vibration identification system based on acceleration transducer, it is characterised in that: including acceleration transducer,
Digital high-pass filter, processor, wherein the input terminal of the output end of the acceleration transducer and digital high-pass filter connects
It connects, the output end of the digital high-pass filter and the input terminal of processor connect；
The acceleration transducer for acquiring the acceleration information of vehicle in real time, after the filter action of digital high-pass filter
It is sent in processor, what the acceleration information through being filtered that processor calculates current time acquisition was acquired with last moment
Difference through the acceleration information being filtered, the processor are drawn according to difference calculated and update PI curve, then
Vibration feature is extracted by PI curve, and the processor shakes type for extracted vibration feature is from database different
Vibration feature compares, and when extracted vibration feature matches with a certain vibration type, can confirm the vibration type of vehicle
For matched vibration type.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110657885A (en) * | 2019-10-14 | 2020-01-07 | 深圳市蓝度汽车电控技术有限公司 | Vibration alarming method and system of vibration sensor and terminal |
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Application publication date: 20190614 |
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