CN110132491A - Intelligent tire amount of unbalance vibration signal processing system based on Cosine Window fft algorithm - Google Patents
Intelligent tire amount of unbalance vibration signal processing system based on Cosine Window fft algorithm Download PDFInfo
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- CN110132491A CN110132491A CN201910521908.XA CN201910521908A CN110132491A CN 110132491 A CN110132491 A CN 110132491A CN 201910521908 A CN201910521908 A CN 201910521908A CN 110132491 A CN110132491 A CN 110132491A
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- China
- Prior art keywords
- intelligent tire
- computing system
- fft algorithm
- cosine window
- sensor
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M1/00—Testing static or dynamic balance of machines or structures
- G01M1/14—Determining unbalance
- G01M1/16—Determining unbalance by oscillating or rotating the body to be tested
- G01M1/22—Determining unbalance by oscillating or rotating the body to be tested and converting vibrations due to unbalance into electric variables
- G01M1/225—Determining unbalance by oscillating or rotating the body to be tested and converting vibrations due to unbalance into electric variables for vehicle wheels
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/141—Discrete Fourier transforms
- G06F17/142—Fast Fourier transforms, e.g. using a Cooley-Tukey type algorithm
Abstract
Intelligent tire amount of unbalance vibration signal processing system of the disclosure of the invention based on Cosine Window fft algorithm, including sensor, the sensor is mounted on intelligent tire, the sensor is electrically connected with signal amplifier, the signal amplifier is connected with filter band, the filter band is electrically connected with data collecting card, and data collecting card is connect with computing system, the computing system includes electronic map roadway information system, and computing system uses Cosine Window fft algorithm, the present invention passes through sensor, signal amplifier, filter band, data collecting card, the acquisition of the realization driving vehicle intelligent tire vibration signal such as computing system, amplification, conditioning, pretreatment and processing, wherein, computing system uses Cosine Window fft algorithm, in conjunction with electronic map roadway information system, effectively obtain the real-time amount of unbalance vibration of intelligent tire Asynchronous-sampling signal can be effectively treated in the amplitude and phase of signal, the system, meet intelligent tire on-line monitoring fast and accurately measurement demand.
Description
Technical field
The present invention relates to intelligent tire detecting real-time technical fields, the specially intelligent tire based on Cosine Window fft algorithm
Amount of unbalance vibration signal processing system.
Background technique
Currently, the research and development of intelligent tire detecting real-time technology are one of Main ways of automotive technology development；Collection is received in real time
Integrate, transmission performance local environment information, and the tire that these information are made accurate judgment and handled is intelligent tire,
Its basic necessary functions will also monitor tire force-bearing situation under driving status, deformations of tyre degree in addition to monitoring the mild tire pressure of tire
And road surface friction force etc., and to Auto Electronic Controlled System provide these multidate informations in time and facilitate and handled；Intelligent tire
Research be related to material, structure, sensing, signal processing, wireless telecommunications and embedded in real time multinomial advanced technology, the Neng Gouyou such as calculate
The service life for improving to effect tire, reduces rate of blowing out, and is that safe driving of vehicle and reduction automobile are influenced in vehicle control system
Using the key element to environmental impact, and the signal processing system of intelligent tire is even more to realize the key component of its function.
In general signal treatment process, filtering and spectrum analysis be signal processing key element, filtering primarily to
Desired signal is obtained, omits clutter, and filter out unwanted signal, usually there is a low pass, high pass, band logical, the modes such as band resistance,
And spectrum analysis is then to indicate the amplitude of signal and phase or energy conversion with frequency coordinate axis, and then it is special to analyze frequency
Property, the common method for carrying out signal processing is to carry out Fourier transformation, can be by some complexity not by Fourier transformation
Easily directly analysis signal decomposition is that several have the sum of the sinusoidal signal of certain relationship between each other, makes these complicated signals
Analysis is become easy, obtains the frequency, amplitude and phase of sophisticated signal, existing intelligent tire detecting real-time technology is to intelligence
It can not achieve line monitoring fast and accurately measurement demand when tire is detected, and hardware diagnostic maintenance is complicated, is not easy to make
With needing to improve.
Summary of the invention
The purpose of the present invention is to provide the intelligent tire amount of unbalance vibration signal processing systems based on Cosine Window fft algorithm
System can not achieve line monitoring and fast and accurately measure when being detected with the intelligent tire for solving to mention in above-mentioned background technique
Demand, and hardware diagnostic maintenance is complicated, the problem of being not convenient to use.
To achieve the above object, the invention provides the following technical scheme: the intelligent tire based on Cosine Window fft algorithm is uneven
Vibration signal processing system is measured, including sensor, the sensor are mounted on intelligent tire, the sensor is electrically connected
There is signal amplifier, the signal amplifier is connected with filter band, and the filter band is electrically connected with data collecting card, and data
Capture card is connect with computing system, and the computing system includes electronic map roadway information system, and computing system uses cosine
Window fft algorithm, the computing system are connected with printer.
Preferably, the sensor uses piezoelectric force transducer.
Preferably, the signal amplifier uses charge amplifier or voltage amplifier.
Preferably, the sensor is electrically connected by signal amplifier and filter band.
Preferably, the filter band is electrically connected by data collecting card and computing system.
Preferably, the printer and computing system are electrically connected.
The present invention provides the intelligent tire amount of unbalance vibration signal processing systems based on Cosine Window fft algorithm, have
Below the utility model has the advantages that
(1) present invention acquires information by sensor, eliminates noise through signal amplifier amplified signal, and by filter band
And interference signal, treated, and the real-time amount of unbalance vibration signal of intelligent tire passes through data collecting card input computing system, meter
Calculation system uses Cosine Window fast fourier transform algorithm (fft algorithm), can handle synchronous sampling signal and asynchronous-sampling simultaneously
Signal eliminates the intelligent tire vibration signal due to caused by the irregularity degree of ground, thus in conjunction with electronic map roadway information system
Improve the validity of the real-time amount of unbalance vibration signal of intelligent tire of acquisition, the real-time amount of unbalance vibration signal of intelligent tire
Processing system meets intelligent tire on-line monitoring fast and accurately measurement demand, economical and practical promotional value with higher,
High safety and reliability of the present invention, strong real-time is open big, has an extremely strong scalability, and hardware diagnostic maintenance is simple, can
Depending on, image.
Detailed description of the invention
Fig. 1 is system flow chart of the invention.
Fig. 2 is Hanning window and spectrogram of the invention.
In figure: 1, sensor；2, signal amplifier；3, filter band；4, data collecting card；5, computing system；6, printer.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.
As shown in Figs. 1-2, the present invention provides a kind of technical solution: the intelligent tire based on Cosine Window fft algorithm is uneven
Vibration signal processing system is measured, including sensor 1, the sensor 1 are mounted on intelligent tire, the sensor 1 electrically connects
It is connected to signal amplifier 2, the signal amplifier 2 is connected with filter band 3, and the filter band 3 is electrically connected with data collecting card
4, and data collecting card 4 is connect with computing system 5, the computing system 5 includes electronic map roadway information system, and is calculated
System 5 uses Cosine Window fft algorithm, and the computing system 5 is connected with printer 6.
The sensor 1 uses piezoelectric force transducer, and with high sensitivity, frequency response is wide, measurement range is wide, overload capacity
The features such as strong, is easy to use；The signal amplifier 2 uses charge amplifier or voltage amplifier, charge amplifier output electricity
Pressure is directly proportional to the quantity of electric charge, unrelated with cable capacitance, but circuit is complicated, and adjustment is difficult, and price is higher, piezoelectric force transducer
When being used cooperatively with voltage amplifier, because of line cord capacitive effect, connecting cable cannot be too long；The sensor 1 passes through
Signal amplifier 2 and filter band 3 are electrically connected, and are passed after the information that sensor 1 acquires being amplified by signal amplifier 2
It is sent in filter band 3；The filter band 3 is electrically connected by data collecting card 4 and computing system 5, and filter band 3 is mainly used to disappear
Except noise and interference signal, through filter band 3, treated that the real-time amount of unbalance vibration signal of intelligent tire passes through data collecting card 4
Input computing system 5；The printer 6 is electrically connected with computing system 5, can be printed processing result by printer 6
Come.
It should be noted that the intelligent tire amount of unbalance vibration signal processing system based on Cosine Window fft algorithm, in work
When making, information is acquired using sensor, eliminates noise and interference signal through signal amplifier amplified signal, and by filter band,
Treated the real-time amount of unbalance vibration signal of intelligent tire inputs computing system by data collecting card, more than computing system uses
Porthole fast fourier transform algorithm (fft algorithm) is handled, and wherein steps are as follows for fft algorithm:
(1) original series are pressed the odd, even property of target constantly to decompose, is decomposed into N number of individual event by a N sequences always
Sequence.
(2) DFT for calculating N number of individual event sequence, has acquired the DFT of N number of individual event sequence.
(3) DFT of N number of individual event sequence is synthesized two-by-two, finally obtains the DFT of a N sequences, here it is original series
DFT.
FFT calculation procedure can be worked out according to above-mentioned thought；
Wherein the type of Cosine Window includes
(1) Hanning window (Hanning)
Also known as raised cosine window, window function image and its frequency spectrum such as Fig. 2, the function of time are
ω (f)=0.5Q (f)+0.25 [Q (f+1/ τ)+Q (f-1/ τ)]
In formula: Q (f)=τ sin (π f τ)/(π f τ)
(2) Hamming window (Hamming)
ω (f)=0.54Q (f)+0.23 [Q (f+1/ τ)+Q (f-1/ τ)]
Hamming window is substantially consistent with Hanning window, and only coefficient is different, therefore image has fine distinction.
The size of spectral leakage is related with the secondary lobe size of window function, therefore selects window function should be from holding maximum information
Two aspects of secondary lobe are measured and eliminated to comprehensively consider, on the one hand, in order to obtain steeper intermediate zone, and obtain higher frequency point
It distinguishes power, to make main lobe width in the frequency spectrum of window function narrow as far as possible；On the other hand, in order to reduce acromion and ripple, resistance is improved
The decaying of band should make the decaying of secondary lobe big as far as possible.
Compared to rectangular window, Hanning window (Hanning) main lobe is widened and is reduced, and secondary lobe is then substantially reduced, and leaks from reducing
Viewpoint is set out, and Hanning window is better than rectangular window, but Hanning window main lobe widens frequency resolution decline.It compared with rectangular window, leakage,
Fluctuation has considerable degree of reduction, and selectively also improves.And Hamming window (Hamming) is due to weighting coefficient difference, it is other
Valve is smaller compared to Hanning window, thus caused by spectral leakage it is smaller, but its side lobe attenuation speed is smaller than Hanning window,
Therefore the decaying of stopband is small.
By using Cosine Window fast fourier transform algorithm (fft algorithm), synchronous sampling signal and different can be handled simultaneously
Sampled signal is walked, in conjunction with electronic map roadway information system, eliminates the vibration letter of the intelligent tire due to caused by the irregularity degree of ground
Number, which thereby enhance the validity of the real-time amount of unbalance vibration signal of intelligent tire of acquisition, the real-time amount of unbalance of intelligent tire
Vibration signal processing system meets intelligent tire on-line monitoring fast and accurately measurement demand, with higher economical and practical
Promotional value, high safety and reliability of the present invention, strong real-time is open big, has extremely strong scalability, hardware diagnostic maintenance
Simply, visually, image.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
1. the intelligent tire amount of unbalance vibration signal processing system based on Cosine Window fft algorithm, including sensor (1), special
Sign is: the sensor (1) is mounted on intelligent tire, and the sensor (1) is electrically connected with signal amplifier (2), institute
It states signal amplifier (2) to be connected with filter band (3), the filter band (3) is electrically connected with data collecting card (4), and data are adopted
Truck (4) is connect with computing system (5), and the computing system (5) includes electronic map roadway information system, and computing system
(5) Cosine Window fft algorithm is used, the computing system (5) is connected with printer (6).
2. the intelligent tire amount of unbalance vibration signal processing system according to claim 1 based on Cosine Window fft algorithm,
It is characterized by: the sensor (1) uses piezoelectric force transducer.
3. the intelligent tire amount of unbalance vibration signal processing system according to claim 1 based on Cosine Window fft algorithm,
It is characterized by: the signal amplifier (2) uses charge amplifier or voltage amplifier.
4. the intelligent tire amount of unbalance vibration signal processing system according to claim 1 based on Cosine Window fft algorithm,
It is characterized by: the sensor (1) is electrically connected by signal amplifier (2) and filter band (3).
5. the intelligent tire amount of unbalance vibration signal processing system according to claim 1 based on Cosine Window fft algorithm,
It is characterized by: the filter band (3) is electrically connected by data collecting card (4) and computing system (5).
6. the intelligent tire amount of unbalance vibration signal processing system according to claim 1 based on Cosine Window fft algorithm,
It is characterized by: the printer (6) and computing system (5) are electrically connected.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910521908.XA CN110132491A (en) | 2019-06-17 | 2019-06-17 | Intelligent tire amount of unbalance vibration signal processing system based on Cosine Window fft algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910521908.XA CN110132491A (en) | 2019-06-17 | 2019-06-17 | Intelligent tire amount of unbalance vibration signal processing system based on Cosine Window fft algorithm |
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| CN110132491A true CN110132491A (en) | 2019-08-16 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114112192A (en) * | 2021-11-26 | 2022-03-01 | 中国汽车工程研究院股份有限公司 | Fan residual unbalance testing and analyzing method based on transfer function |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102967414A (en) * | 2012-11-07 | 2013-03-13 | 郑州大学 | Method for extracting imbalanced components of micro-speed-difference double-rotor system based on frequency spectrum correction |
| CN106197484A (en) * | 2016-06-30 | 2016-12-07 | 中工科安科技有限公司 | A kind of sine and cosine encoder high-precision signal processing system and method thereof |
| CN106500913A (en) * | 2016-09-20 | 2017-03-15 | 北京工业大学 | A kind of tire dynamic and balance machine amount of unbalance measurement apparatus |
| CN108470086A (en) * | 2018-02-09 | 2018-08-31 | 中国汽车工程研究院股份有限公司 | The dynamics simulation method of unbalance amount of tire |
-
2019
- 2019-06-17 CN CN201910521908.XA patent/CN110132491A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102967414A (en) * | 2012-11-07 | 2013-03-13 | 郑州大学 | Method for extracting imbalanced components of micro-speed-difference double-rotor system based on frequency spectrum correction |
| CN106197484A (en) * | 2016-06-30 | 2016-12-07 | 中工科安科技有限公司 | A kind of sine and cosine encoder high-precision signal processing system and method thereof |
| CN106500913A (en) * | 2016-09-20 | 2017-03-15 | 北京工业大学 | A kind of tire dynamic and balance machine amount of unbalance measurement apparatus |
| CN108470086A (en) * | 2018-02-09 | 2018-08-31 | 中国汽车工程研究院股份有限公司 | The dynamics simulation method of unbalance amount of tire |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114112192A (en) * | 2021-11-26 | 2022-03-01 | 中国汽车工程研究院股份有限公司 | Fan residual unbalance testing and analyzing method based on transfer function |
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Application publication date: 20190816 |