CN109708861A - A kind of automobile exhaust pipe thermal vibration detection method and detection system, computer program - Google Patents
A kind of automobile exhaust pipe thermal vibration detection method and detection system, computer program Download PDFInfo
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- CN109708861A CN109708861A CN201811653844.0A CN201811653844A CN109708861A CN 109708861 A CN109708861 A CN 109708861A CN 201811653844 A CN201811653844 A CN 201811653844A CN 109708861 A CN109708861 A CN 109708861A
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Abstract
The invention belongs to automobile exhaust pipe thermal vibration detection technique field, a kind of automobile exhaust pipe thermal vibration detection method and detection system, computer program are disclosed, vibrating sensor is utilized to acquire automobile exhaust pipe thermal vibration data；Noise data is generated with noise transducer acquisition automobile exhaust pipe thermal vibration；Automobile exhaust pipe crack image data are acquired using camera；Exhaust pipe of engine hot end intensity is analyzed；The vibration data, noise data and normal data of acquisition are compared into judgement using data determining program；Using alarm according to judging that exceeded result carries out timely alert notification user；Utilize vibration data, the noise data of the automobile exhaust pipe of display display acquisition.This invention ensures that the accuracy of model, and the purpose of development cost is reduced as a result, realizing and shortening the development cycle based on intensive analysis has been obtained to endurance test stress and accelerating curve.
Description
Technical field
The invention belongs to automobile exhaust pipe thermal vibration detection technique fields more particularly to a kind of automobile exhaust pipe thermal vibration to examine
Survey method and detection system, computer program.
Background technique
Automobile exhaust bellows is also known as automobile exhaust pipe hose, it is installed between engine exhaust branch pipe and silencer
In exhaust pipe, make whole gas extraction system in Flexible spacecraft, to play vibration and noise reducing, facilitate installation and extend exhausting silencer system
The effect in service life.It is mainly used for Light-duty Vehicle, minicar and car, and structure is that double-ply bellows is cladded with wire sets, both ends
The structure of straight section housing snap ring, to make noise elimination effect more preferably, bellows interior can match telescopic joint or net cover.Material: main material
Matter is stainless steel SUS304, and cutting ferrule and adapter tube material can be stainless steel or aluminum-plated steel.However, existing automobile exhaust pipe thermal vibration inspection
Survey process is big to noise measuring data error, inaccuracy；Meanwhile the performance evaluation of exhaust pipe strength durable mainly pass through it is single quiet
Intensity operating condition or operating condition of test heat cycle are estimated, there are operating condition define it is unreasonable, it is difficult to consider the limitation that vibration influences.
In conclusion problem of the existing technology is:
(1) existing automobile exhaust pipe thermal vibration detection process is big to noise measuring data error, inaccuracy；Meanwhile it being vented
The performance evaluation of pipe strength durable is mainly estimated by single static strength operating condition or operating condition of test heat cycle, and there are operating condition definition
It is unreasonable, it is difficult to consider the limitation that vibration influences.
(2) during acquiring automobile exhaust pipe thermal vibration data by vibrating sensor in the prior art, using tradition
Algorithm the vibration source inside automobile exhaust pipe is identified, the dimension and correlation of characteristic value cannot be effectively reduced,
Difficulty and the training time of classifier training are increased, while reducing the correct recognition rata of target.
(3) during noise transducer acquisition automobile exhaust pipe thermal vibration generates noise data in the prior art, in complexity
Under noise jamming, reflected sonic signals are not effectively separated out, reduce the signal-to-noise ratio of echo signal.
(4) in the prior art during camera acquisition automobile exhaust pipe crack image data, there is big in image
Measure variety classes, different shape, and the irregular noise of cloth.These noises have seriously affected the detection in crack, and traditional filter
Wave algorithm can not effectively filter out various noises.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of automobile exhaust pipe thermal vibration detection method and detections
System, computer program.
The invention is realized in this way a kind of automobile exhaust pipe thermal vibration detection system includes:
Vibrating data collection module, noise data acquisition module, crack image acquisition module, main control module, intensive analysis
Module, data judgment module, alarm module, display module；
Vibrating data collection module, connect with main control module, for acquiring the vibration of automobile exhaust pipe heat by vibrating sensor
Dynamic data；
Noise data acquisition module is connect with main control module, for acquiring the vibration of automobile exhaust pipe heat by noise transducer
Movable property gives birth to noise data；
Crack image acquisition module, connect with main control module, for acquiring automobile exhaust pipe crack image by camera
Data；
Main control module, with vibrating data collection module, noise data acquisition module, crack image acquisition module, intensity point
Module, data judgment module, alarm module, display module connection are analysed, is worked normally for controlling modules by single-chip microcontroller；
Intensive analysis module, connect with main control module, for analyzing exhaust pipe of engine hot end intensity；
Data judgment module, connect with main control module, for passing through data determining program for the vibration data of acquisition, noise
Data and normal data compare judgement；
Alarm module is connect with main control module, for by alarm according to judge that exceeded result carries out timely alarm and lead to
Know user；
Display module is connect with main control module, the vibration data of the automobile exhaust pipe for being acquired by display display,
Noise data.
Another object of the present invention is to provide a kind of automobile exhaust for carrying the automobile exhaust pipe thermal vibration detection system
Pipe thermal vibration on-line checking platform.
Another object of the present invention is to provide a kind of automobile exhaust pipe thermal vibration, and detection method includes the following steps:
Step 1 acquires automobile exhaust pipe thermal vibration data using vibrating sensor by vibrating data collection module；
Step 2 acquires automobile exhaust pipe thermal vibration using noise transducer by noise data acquisition module and generates noise
Data；
Step 3 acquires automobile exhaust pipe crack image data using camera by crack image acquisition module；
Step 4, main control module analyze exhaust pipe of engine hot end intensity by intensive analysis module；
Step 5 utilizes data determining program by the vibration data, noise data and mark of acquisition by data judgment module
Quasi- data compare judgement；
Step 6, by alarm module using alarm according to judging that exceeded result carries out timely alert notification user；
Step 7 utilizes vibration data, the noise data of the automobile exhaust pipe of display display acquisition by display module.
Further, the noise data acquisition module acquisition method is as follows:
(1) voice signal is received by sound transducer；
(2) voice signal is adjusted using pulsewidth modulation, obtains rectangular wave pulse signal；
(3) rectangular wave pulse signal is carried out that period interpolation is taken to handle to obtain the signal sequence of specified fixed intervals
Column；
(4) it is sampled to obtain sampled signal after handling the signal sequence of the specified fixed intervals according to preset rules
Sequence；
(5) it is handled the sampled signal sequence to obtain frequency-region signal, to extract the frequency of the sampled signal sequence
Spectrum signature；
(6) spectrum signature is weighted to obtain to the corresponding noise figure of the voice signal.
Further, described to carry out the rectangular wave pulse signal period interpolation is taken to handle to obtain specified fixed intervals
The step of signal sequence includes:
The pulse period for obtaining the voice signal obtains the pulse period corresponding discrete signal；
Upper new value is increased in the time point position of the specified fixed intervals of the discrete signal using interpolation method, is formed specified
The signal sequence of fixed intervals.
Further, the signal sequence by the specified fixed intervals is sampled to obtain after handling according to preset rules
The step of sampled signal sequence includes:
Inversion operation is carried out to the signal sequence of the specified fixed intervals, obtains inverted signal sequence；
The inverted signal sequence is sampled according to the specified period, obtains sampled signal sequence.
Further, described to be handled the sampled signal sequence to obtain frequency-region signal, to extract the sampled signal
The step of spectrum signature of sequence includes:
The spectrum signature of the sampled signal sequence is extracted using Fast Fourier Transform (FFT).
Further, described to be weighted to obtain to the corresponding noise figure of the voice signal by the spectrum signature
Step includes:
The spectrum signature is calculated using A weighted to obtain to the corresponding noise figure of the voice signal.
Further, described to be weighted to obtain to the corresponding noise figure of the voice signal by the spectrum signature
Step includes:
When the value in the spectrum signature is in the first range, the spectrum signature is calculated using A weighted and is obtained to institute
State the corresponding noise figure of voice signal；
When the value in the spectrum signature is in the second range, the spectrum signature is calculated using B weighted and is obtained to institute
State the corresponding noise figure of voice signal；
When the value in the spectrum signature is within the scope of third, the spectrum signature is calculated using C weighted and is obtained to institute
State the corresponding noise figure of voice signal.
Further, the intensive analysis module analysis method is as follows:
1) exhaust pipe of engine hot end related data is acquired；
2) finite element analysis model in exhaust pipe of engine hot end is established；
3) mark result is modified the finite element analysis model according to material parameter and exhaust pipe hot end mode, obtains
To target finite element analysis model；
4) the road vibration accelerating curve obtained according to vehicle endurance test stress and actual measurement utilizes the target finite member
Analysis model calculates and obtains the exhaust pipe of engine hot end intensive analysis result.
Further, the finite element analysis model for establishing exhaust pipe of engine hot end, comprising:
Establish the initial model in the exhaust pipe of engine hot end；
Finite element division is carried out to the initial model according to exhaust pipe assembling model, obtains finite element analysis model.
Further, it is described according to material parameter and exhaust pipe hot end mode to mark result to the finite element analysis model into
Row amendment, obtains target finite element analysis model, comprising:
Calculate the boundary condition in the exhaust pipe of engine hot end under declared working condition；
According to the boundary condition, the exhaust pipe of engine transient flow field obtained under working cycles is calculated；
Using the exhaust pipe transient flow field, acquires the interior of the exhaust pipe of engine hot end and keep away face temperature and convection current
The coefficient of heat transfer；
According to the temperature of exhaust pipe of engine hot end inner wall and the convection transfer rate, analysis obtains the hair
The thermo parameters method in motivation exhaust pipe hot end；
The material parameter of the finite element analysis model is corrected according to the thermo parameters method, and according to mode to mark result
The finite element analysis model is modified, target finite element analysis model is obtained.
Advantages of the present invention and good effect are as follows:
Noise data acquisition module of the present invention handles the voice signal received, then will treated signal into
Row interpolation forms the signal sequence of specified fixed intervals, then the serial operation of signal sequence progress of specified fixed intervals can be obtained
To the noise figure of the voice signal, to realize the recognition accuracy of noise sound；Meanwhile it being established by intensive analysis module
The finite element model in exhaust pipe of engine hot end is then based on material parameter and mode and carries out to mark result to the finite element model
Amendment, obtains target finite element analysis model, and final calculate obtains the exhaust pipe of engine hot end intensive analysis result.Due to
It is corrected the accuracy that ensure that model to finite element model, and is based on obtaining endurance test stress and accelerating curve
Intensive analysis has been arrived as a result, reducing durability experiment, has realized the purpose for shortening development cycle reduction development cost.
Vibrating data collection module acquires the process of automobile exhaust pipe thermal vibration data by vibrating sensor in the present invention
In, the vibration source inside automobile exhaust pipe is identified, in order to effectively reduce the dimension and correlation of characteristic value, is reduced
The difficulty of classifier training and training time, while improving the correct recognition rata of target, using principal component analysis in target
Recognizer.
Noise data acquisition module acquires automobile exhaust pipe thermal vibration by noise transducer and generates noise number in the present invention
According in the process, under Complex Noise interference, in order to which reflected sonic signals are effectively separated, the signal-to-noise ratio of echo signal is improved,
Denoising Algorithm is combined using EEMD and ICA.
During crack image acquisition module acquires automobile exhaust pipe crack image data by camera in the present invention,
There is the irregular noises of a large amount of variety classes, different shape, and cloth in image.These noises have seriously affected the inspection in crack
It surveys, and traditional filtering algorithm can not effectively filter out various noises, the present invention uses the multilevel filter algorithm based on connected region.
Detailed description of the invention
Fig. 1 is automobile exhaust pipe thermal vibration detection method flow chart provided in an embodiment of the present invention.
Fig. 2 is automobile exhaust pipe thermal vibration detection system structure chart provided in an embodiment of the present invention.
In figure: 1, vibrating data collection module；2, noise data acquisition module；3, crack image acquisition module；4, master control
Module；5, intensive analysis module；6, data judgment module；7, alarm module；8, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Existing automobile exhaust pipe thermal vibration detection process is big to noise measuring data error, inaccuracy；Meanwhile exhaust pipe is strong
Degree endurance quality analysis is mainly estimated by single static strength operating condition or operating condition of test heat cycle, and there are operating condition definition not to conform to
Reason, it is difficult to consider the limitation that vibration influences.
During acquiring automobile exhaust pipe thermal vibration data by vibrating sensor in the prior art, using traditional calculation
Method identifies the vibration source inside automobile exhaust pipe, cannot effectively reduce the dimension and correlation of characteristic value, increases
The difficulty of classifier training and training time, while reducing the correct recognition rata of target.
During noise transducer acquisition automobile exhaust pipe thermal vibration generates noise data in the prior art, in Complex Noise
Under interference, reflected sonic signals are not effectively separated out, reduce the signal-to-noise ratio of echo signal.
In the prior art during camera acquisition automobile exhaust pipe crack image data, there is largely not in image
The irregular noise of same type, different shape, and cloth.These noises have seriously affected the detection in crack, and traditional filtering is calculated
Method can not effectively filter out various noises.
In order to solve the problems existing in the prior art, concrete scheme is described in detail application principle of the present invention below.
As shown in Figure 1, detection method includes the following steps for automobile exhaust pipe thermal vibration provided in an embodiment of the present invention:
S101: acquisition automobile exhaust pipe thermal vibration data are generated using noise transducer acquisition automobile exhaust pipe thermal vibration
Noise data；Automobile exhaust pipe crack image data are acquired using camera；
S102: according to the data of above-mentioned detection, exhaust pipe of engine hot end intensity is analyzed, judges journey using data
The vibration data, noise data and normal data of acquisition are compared judgement by sequence；
S103: using alarm according to judging that exceeded result carries out timely alert notification user；
S104: vibration data, the noise data of the automobile exhaust pipe of display display acquisition are utilized.
In the embodiment of the present invention, step S101, camera is calculated using gray level image cross hairs region clarity theoretical model
Method collection automobile exhaust pipe crack image data include:
The image in camera for acquiring automobile exhaust pipe crack image data is made of m × n pixel, pixel ash
Angle value matrix B (I, J), wherein 0≤I≤m-1,0≤J≤n-1.
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, then the 1/2 of gray scale difference value uses BdifIt can table
Show and be shown below:
According to cross hairs gray level image sharpness computation theoretical model, if the clarity of gray level image is C, available ten
Wordline gray level image clarity improved model, is shown below:
As the preferred embodiment of the present invention, vibrating data collection module 1 acquires automobile exhaust pipe heat by vibrating sensor
During vibration data, the vibration source inside automobile exhaust pipe is identified, in order to effectively reduce the dimension of characteristic value
Several and correlation, reduces difficulty and the training time of classifier training, while improving the correct recognition rata of target, using master
Constituent analysis in Target Recognition Algorithms, specifically includes the following steps:
Step 1 does mesh to the vibration signal of training sample using the vibration signal of known target type as training sample
Specificity analysis is marked, characteristic value is extracted；
Step 2, to the characteristic value formula of all training samples(i=1,2 ..., n；J=
1,2 ..., p), D indicates variance in formula, does standardization, and acquire the mean value and variance of each characteristic value；
Step 3 carries out principal component analysis to the result after training sample standardization, acquires standardized feature vector
With meet several principal components before contribution margin requirement, this is also the process of 2 feature extractions；
Step 4 is trained classifier using the comprehensive characteristics value after principal component analysis, determines the parameter of classifier
After the completion of classifier training, into the identification process of practical application, algorithm flow is as follows:
1) vibration signal of result to be sorted is subjected to target characteristics analysis, extracts characteristic value；
2) using the mean value and variance of the characteristic value obtained in training process, data normalization processing is carried out to characteristic value；
3) using the standardized feature vector obtained in training process, several principal components constitute new multidimensional before directly acquiring
Characteristic value, the input as classifier；
4) new characteristic value is inputted into classifier, obtains classification results.
As the preferred embodiment of the present invention, noise data acquisition module 2 acquires automobile exhaust pipe heat by noise transducer
During vibration generates noise data, under Complex Noise interference, in order to which reflected sonic signals are effectively separated, target is improved
The signal-to-noise ratio of signal combines Denoising Algorithm using EEMD and ICA, specifically includes the following steps:
Observation signal X (t) is decomposed into IMF collection using EEMD algorithm by step 1；
Step 2, takes subsequent several IMF components, and linear superposition constructs virtual signal channel Xxirtual(t)；
Step 3, using FastICA algorithm to virtual signal channel Xxirtual(t) divided with observation signal channel X (t)
From obtaining the estimation signal S (t) of observation signal.
As the preferred embodiment of the present invention, crack image acquisition module 3 acquires automobile exhaust pipe crack figure by camera
During as data, there is the irregular noises of a large amount of variety classes, different shape, and cloth in image.These noises are tight
The detection in crack is affected again, and traditional filtering algorithm can not effectively filter out various noises, the present invention, which uses, is based on connected region
The multilevel filter algorithm in domain, specifically includes the following steps:
Step 1 seeks the connected region and boundary rectangle of bianry image；
If Ck(x, y) is the connected region of P (x, y), p CkA known point B in (x, y) is that a side length is 3 just
Square structure element, calculating process are as follows；
In formula:Indicate dilation operation, the initial value Z of Z0For p, work as algorithmic statement, i.e. Zj=Zj+1When, ZjAs one connection
Then region calculates the minimum and maximum coordinate of each connected region, so that it may obtain the boundary rectangle of each connected region；
Step 2, the zeroth order square filtering based on connected region
Crack is a kind of structure with spatial connectivity, and a crack has certain length, therefore can adopt
It is filtered with the zeroth order square of connected region；If nkFor the zeroth order square of each connected region, with target pixel points in connected region
Number indicate, NnFor the number of connected region, F (x, y) is the image after filtering, sets a threshold value Tn, filtering
Such as formula
Step 3 is filtered based on connected region rectangular degree；
Since uneven illumination is even and the influence of surface texture, there is a large amount of block distortions in bianry image, and split
Seam is a kind of elongated structure, therefore the rectangular degree that can use connected region is filtered.The company in F (x, y) is calculated first
Logical region Dk(x, y) then calculates the rectangular degree of each connected region, such as formula
In formula: SMFor the area of the side length boundary rectangle parallel with reference axis；If NRFor the number of connected region, Y (x, y)
For the image after filtering, a threshold value T is setR, filtering such as formula
Step 4, special noise filtering
If NwFor the number of connected region, 3 threshold value T are setw、ThAnd Tr, filtering such as formula
K=1 in formula, 2 ..., Nw。
As the preferred embodiment of the present invention, 2 acquisition method of noise data acquisition module provided by the invention is as follows:
(1) voice signal is received by sound transducer；
(2) voice signal is adjusted using pulsewidth modulation, obtains rectangular wave pulse signal；
(3) rectangular wave pulse signal is carried out that period interpolation is taken to handle to obtain the signal sequence of specified fixed intervals
Column；
(4) it is sampled to obtain sampled signal after handling the signal sequence of the specified fixed intervals according to preset rules
Sequence；
(5) it is handled the sampled signal sequence to obtain frequency-region signal, to extract the frequency of the sampled signal sequence
Spectrum signature；
(6) spectrum signature is weighted to obtain to the corresponding noise figure of the voice signal.
It is provided by the invention to carry out the rectangular wave pulse signal to take period interpolation as the preferred embodiment of the present invention
Handling the step of obtaining the signal sequence of specified fixed intervals includes:
The pulse period for obtaining the voice signal obtains the pulse period corresponding discrete signal；
Upper new value is increased in the time point position of the specified fixed intervals of the discrete signal using interpolation method, is formed specified
The signal sequence of fixed intervals.
Signal sequence provided by the invention by the specified fixed intervals sample after handling according to preset rules
Include: to the step of sampled signal sequence
Inversion operation is carried out to the signal sequence of the specified fixed intervals, obtains inverted signal sequence；
The inverted signal sequence is sampled according to the specified period, obtains sampled signal sequence.
It is provided by the invention to be handled the sampled signal sequence to obtain frequency-region signal, to extract the sampled signal
The step of spectrum signature of sequence includes:
The spectrum signature of the sampled signal sequence is extracted using Fast Fourier Transform (FFT).
It is provided by the invention to be weighted to obtain to the corresponding noise figure of the voice signal by the spectrum signature
The step of include:
The spectrum signature is calculated using A weighted to obtain to the corresponding noise figure of the voice signal.
In embodiments of the present invention, provided by the invention to be weighted to obtain to the sound by the spectrum signature
The step of signal corresponding noise figure includes:
When the value in the spectrum signature is in the first range, the spectrum signature is calculated using A weighted and is obtained to institute
State the corresponding noise figure of voice signal；
When the value in the spectrum signature is in the second range, the spectrum signature is calculated using B weighted and is obtained to institute
State the corresponding noise figure of voice signal；
When the value in the spectrum signature is within the scope of third, the spectrum signature is calculated using C weighted and is obtained to institute
State the corresponding noise figure of voice signal.
In embodiments of the present invention, 5 analysis method of intensive analysis module provided is as follows:
1) exhaust pipe of engine hot end related data is acquired；
2) finite element analysis model in exhaust pipe of engine hot end is established；
3) mark result is modified the finite element analysis model according to material parameter and exhaust pipe hot end mode, obtains
To target finite element analysis model；
4) the road vibration accelerating curve obtained according to vehicle endurance test stress and actual measurement utilizes the target finite member
Analysis model calculates and obtains the exhaust pipe of engine hot end intensive analysis result.
As the preferred embodiment of the present invention, the finite element analysis mould provided by the invention for establishing exhaust pipe of engine hot end
Type, comprising:
Establish the initial model in the exhaust pipe of engine hot end；
Finite element division is carried out to the initial model according to exhaust pipe assembling model, obtains finite element analysis model.
It is provided by the invention according to material parameter and exhaust pipe hot end mode to mark result to the finite element analysis model
It is modified, obtains target finite element analysis model, comprising:
Calculate the boundary condition in the exhaust pipe of engine hot end under declared working condition；
According to the boundary condition, the exhaust pipe of engine transient flow field obtained under working cycles is calculated；
Using the exhaust pipe transient flow field, acquires the interior of the exhaust pipe of engine hot end and keep away face temperature and convection current
The coefficient of heat transfer；
According to the temperature of exhaust pipe of engine hot end inner wall and the convection transfer rate, analysis obtains the hair
The thermo parameters method in motivation exhaust pipe hot end；
The material parameter of the finite element analysis model is corrected according to the thermo parameters method, and according to mode to mark result
The finite element analysis model is modified, target finite element analysis model is obtained.
As shown in Fig. 2, automobile exhaust pipe thermal vibration detection system provided in an embodiment of the present invention includes: vibrating data collection
Module 1, noise data acquisition module 2, crack image acquisition module 3, main control module 4, intensive analysis module 5, data judge mould
Block 6, alarm module 7, display module 8.
Vibrating data collection module 1 is connect with main control module 4, for acquiring automobile exhaust pipe heat by vibrating sensor
Vibration data；
Noise data acquisition module 2 is connect with main control module 4, for acquiring automobile exhaust pipe heat by noise transducer
Vibration generates noise data；
Crack image acquisition module 3 is connect with main control module 4, for acquiring automobile exhaust pipe crack figure by camera
As data；
Main control module 4, with vibrating data collection module 1, noise data acquisition module 2, crack image acquisition module 3, strong
It spends analysis module 5, data judgment module 6, alarm module 7, display module 8 to connect, for controlling modules by single-chip microcontroller
It works normally；
Intensive analysis module 5 is connect with main control module 4, for analyzing exhaust pipe of engine hot end intensity；
Data judgment module 6 is connect with main control module 4, for by data determining program by the vibration data of acquisition, make an uproar
Sound data and normal data compare judgement；
Alarm module 7 is connect with main control module 4, for by alarm according to judge the timely alarm of exceeded result progress
Notify user；
Display module 8 is connect with main control module 4, the vibration number for the automobile exhaust pipe by display display acquisition
According to, noise data.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. a kind of automobile exhaust pipe thermal vibration detection method, which is characterized in that the automobile exhaust pipe thermal vibration detection method packet
It includes:
Step 1 acquires automobile exhaust pipe thermal vibration data using vibrating sensor by vibrating data collection module；
Step 2 acquires automobile exhaust pipe thermal vibration using noise transducer by noise data acquisition module and generates noise number
According to；
Step 3 acquires automobile exhaust pipe crack image data using camera by crack image acquisition module；
Step 4, main control module analyze exhaust pipe of engine hot end intensity by intensive analysis module；
Step 5 utilizes data determining program by the vibration data, noise data and criterion numeral of acquisition by data judgment module
Judge according to comparing；
Step 6, by alarm module using alarm according to judging that exceeded result carries out timely alert notification user；
Step 7 utilizes vibration data, the noise data of the automobile exhaust pipe of display display acquisition by display module.
2. automobile exhaust pipe thermal vibration detection method as described in claim 1, which is characterized in that the noise data acquisition module
Acquisition method includes:
(1) voice signal is received by sound transducer；
(2) voice signal is adjusted using pulsewidth modulation, obtains rectangular wave pulse signal；
(3) rectangular wave pulse signal is carried out that period interpolation is taken to handle to obtain the signal sequence of specified fixed intervals；
(4) it is sampled to obtain sampled signal sequence after handling the signal sequence of the specified fixed intervals according to preset rules
Column；
(5) it is handled the sampled signal sequence to obtain frequency-region signal, it is special with the frequency spectrum for extracting the sampled signal sequence
Sign；
(6) spectrum signature is weighted to obtain to the corresponding noise figure of the voice signal；
It is described to carry out the rectangular wave pulse signal period interpolation is taken to handle to obtain the signal sequence for specifying fixed intervals
Step includes:
The pulse period for obtaining the voice signal obtains the pulse period corresponding discrete signal；
Upper new value is increased in the time point position of the specified fixed intervals of the discrete signal using interpolation method, forms specified fix
The signal sequence at interval；
The signal sequence by the specified fixed intervals is sampled to obtain sampled signal sequence after handling according to preset rules
The step of column includes:
Inversion operation is carried out to the signal sequence of the specified fixed intervals, obtains inverted signal sequence；
The inverted signal sequence is sampled according to the specified period, obtains sampled signal sequence.
3. automobile exhaust pipe thermal vibration detection method as claimed in claim 2, which is characterized in that described by the sampled signal sequence
The step of column are handled to obtain frequency-region signal, spectrum signature to extract the sampled signal sequence include:
The spectrum signature of the sampled signal sequence is extracted using Fast Fourier Transform (FFT)；
It is described the spectrum signature is weighted to obtain include: to the step of voice signal corresponding noise figure
The spectrum signature is calculated using A weighted to obtain to the corresponding noise figure of the voice signal；
It is described the spectrum signature is weighted to obtain include: to the step of voice signal corresponding noise figure
When the value in the spectrum signature is in the first range, the spectrum signature is calculated using A weighted and is obtained to the sound
The corresponding noise figure of sound signal；
When the value in the spectrum signature is in the second range, the spectrum signature is calculated using B weighted and is obtained to the sound
The corresponding noise figure of sound signal；
When the value in the spectrum signature is within the scope of third, the spectrum signature is calculated using C weighted and is obtained to the sound
The corresponding noise figure of sound signal.
4. automobile exhaust pipe thermal vibration detection method as described in claim 1, which is characterized in that the intensive analysis module analysis
Method includes:
1) exhaust pipe of engine hot end related data is acquired；
2) finite element analysis model in exhaust pipe of engine hot end is established；
3) mark result is modified the finite element analysis model according to material parameter and exhaust pipe hot end mode, obtains mesh
Mark finite element analysis model；
4) the road vibration accelerating curve obtained according to vehicle endurance test stress and actual measurement, utilizes the target finite meta analysis
Model calculates and obtains the exhaust pipe of engine hot end intensive analysis result.
5. automobile exhaust pipe thermal vibration detection method as claimed in claim 4, which is characterized in that described to establish the exhaust pipe of engine
The finite element analysis model in hot end includes:
Establish the initial model in the exhaust pipe of engine hot end；
Finite element division is carried out to the initial model according to exhaust pipe assembling model, obtains finite element analysis model；
It is described that mark result is modified the finite element analysis model according to material parameter and exhaust pipe hot end mode, it obtains
Target finite element analysis model, comprising:
Calculate the boundary condition in the exhaust pipe of engine hot end under declared working condition；
According to the boundary condition, the exhaust pipe of engine transient flow field obtained under working cycles is calculated；
Using the exhaust pipe transient flow field, acquires the interior of the exhaust pipe of engine hot end and keep away face temperature and heat convection
Coefficient；
According to the temperature of exhaust pipe of engine hot end inner wall and the convection transfer rate, analysis obtains the engine
The thermo parameters method in exhaust pipe hot end；
Correct the material parameter of the finite element analysis model according to the thermo parameters method, and according to mode to mark result to institute
It states finite element analysis model to be modified, obtains target finite element analysis model.
6. a kind of computer program for realizing automobile exhaust pipe thermal vibration detection method described in Claims 1 to 5 any one.
7. a kind of information data processing for realizing automobile exhaust pipe thermal vibration detection method described in Claims 1 to 5 any one
Terminal.
8. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires automobile exhaust pipe thermal vibration detection method described in 1-5 any one.
9. a kind of automobile exhaust pipe thermal vibration detection system of automobile exhaust pipe thermal vibration detection method as described in claim 1,
It is characterized in that, the automobile exhaust pipe thermal vibration detection system includes:
Vibrating data collection module, connect with main control module, for acquiring automobile exhaust pipe thermal vibration number by vibrating sensor
According to；
Noise data acquisition module is connect with main control module, is produced for acquiring automobile exhaust pipe thermal vibration by noise transducer
Raw noise data；
Crack image acquisition module, connect with main control module, for acquiring automobile exhaust pipe crack image data by camera；
Main control module, with vibrating data collection module, noise data acquisition module, crack image acquisition module, intensive analysis mould
Block, data judgment module, alarm module, display module connection, work normally for controlling modules by single-chip microcontroller；
Intensive analysis module, connect with main control module, for analyzing exhaust pipe of engine hot end intensity；
Data judgment module, connect with main control module, for passing through data determining program for the vibration data of acquisition, noise data
Judgement is compared with normal data；
Alarm module is connect with main control module, for by alarm according to judge the timely alert notification use of exceeded result progress
Family；
Display module is connect with main control module, vibration data, the noise for the automobile exhaust pipe by display display acquisition
Data.
10. a kind of automobile exhaust pipe thermal vibration for carrying automobile exhaust pipe thermal vibration detection system described in claim 9 is examined online
Survey platform.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110378011A (en) * | 2019-07-16 | 2019-10-25 | 西安石油大学 | A kind of metal bellows hydraulic bulging process robust design method |
| CN111006831A (en) * | 2019-12-29 | 2020-04-14 | 万向通达股份公司 | Automobile exhaust system simulation thermal vibration test device |
| CN111735534A (en) * | 2020-07-02 | 2020-10-02 | 江苏弘冉智能科技有限公司 | Vehicle parking safety behavior early warning system and method |
| CN113092128A (en) * | 2021-03-26 | 2021-07-09 | 一汽奔腾轿车有限公司 | Unattended endurance test alarm system |
| CN114570670A (en) * | 2022-05-06 | 2022-06-03 | 张家港保税区亚鑫精密制管有限公司 | Necking pipe fitting necking strength detection tool |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4144423B2 (en) * | 2003-04-28 | 2008-09-03 | マツダ株式会社 | Engine part failure prediction system and control program therefor |
| CN202119602U (en) * | 2011-06-22 | 2012-01-18 | 芜湖恒耀汽车零部件有限公司 | Air tightness detection machine for automobile exhaust pipe |
| CN107917786A (en) * | 2017-11-20 | 2018-04-17 | 广西科技大学 | A kind of method of automobile exhaust pipe vibration experiment |
| CN108072529A (en) * | 2016-11-14 | 2018-05-25 | 天津华方科技有限公司 | Using the device of Internet of Things vibrating sensor monitoring automobile exhaust pipe exception |
| CN108240905A (en) * | 2018-03-20 | 2018-07-03 | 苏州中汽检测技术服务有限公司 | A kind of automobile exhaust pipe thermal vibration detecting system |
| CN108332845A (en) * | 2018-05-16 | 2018-07-27 | 上海小慧智能科技有限公司 | Noise measuring method and acoustic meter |
| CN108595849A (en) * | 2018-04-27 | 2018-09-28 | 江铃汽车股份有限公司 | A kind of exhaust pipe of engine hot junction strength analysis method and device |
| CN108799081A (en) * | 2018-08-13 | 2018-11-13 | 安徽纽威吉新能源汽车技术有限公司 | A kind of control system of automobile air conditioner compressor |
| CN108843441A (en) * | 2018-09-18 | 2018-11-20 | 江苏宝时达动力科技有限公司 | A kind of efficient ICS intercooler system of integrated water cooling inlet manifold and control method |
| CN110568786A (en) * | 2019-08-12 | 2019-12-13 | 中铁七局集团有限公司 | Blasting monitoring system and method for blasting construction of central urban area |
-
2018
- 2018-12-29 CN CN201811653844.0A patent/CN109708861A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4144423B2 (en) * | 2003-04-28 | 2008-09-03 | マツダ株式会社 | Engine part failure prediction system and control program therefor |
| CN202119602U (en) * | 2011-06-22 | 2012-01-18 | 芜湖恒耀汽车零部件有限公司 | Air tightness detection machine for automobile exhaust pipe |
| CN108072529A (en) * | 2016-11-14 | 2018-05-25 | 天津华方科技有限公司 | Using the device of Internet of Things vibrating sensor monitoring automobile exhaust pipe exception |
| CN107917786A (en) * | 2017-11-20 | 2018-04-17 | 广西科技大学 | A kind of method of automobile exhaust pipe vibration experiment |
| CN108240905A (en) * | 2018-03-20 | 2018-07-03 | 苏州中汽检测技术服务有限公司 | A kind of automobile exhaust pipe thermal vibration detecting system |
| CN108595849A (en) * | 2018-04-27 | 2018-09-28 | 江铃汽车股份有限公司 | A kind of exhaust pipe of engine hot junction strength analysis method and device |
| CN108332845A (en) * | 2018-05-16 | 2018-07-27 | 上海小慧智能科技有限公司 | Noise measuring method and acoustic meter |
| CN108799081A (en) * | 2018-08-13 | 2018-11-13 | 安徽纽威吉新能源汽车技术有限公司 | A kind of control system of automobile air conditioner compressor |
| CN108843441A (en) * | 2018-09-18 | 2018-11-20 | 江苏宝时达动力科技有限公司 | A kind of efficient ICS intercooler system of integrated water cooling inlet manifold and control method |
| CN110568786A (en) * | 2019-08-12 | 2019-12-13 | 中铁七局集团有限公司 | Blasting monitoring system and method for blasting construction of central urban area |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110378011A (en) * | 2019-07-16 | 2019-10-25 | 西安石油大学 | A kind of metal bellows hydraulic bulging process robust design method |
| CN111006831A (en) * | 2019-12-29 | 2020-04-14 | 万向通达股份公司 | Automobile exhaust system simulation thermal vibration test device |
| CN111735534A (en) * | 2020-07-02 | 2020-10-02 | 江苏弘冉智能科技有限公司 | Vehicle parking safety behavior early warning system and method |
| CN113092128A (en) * | 2021-03-26 | 2021-07-09 | 一汽奔腾轿车有限公司 | Unattended endurance test alarm system |
| CN114570670A (en) * | 2022-05-06 | 2022-06-03 | 张家港保税区亚鑫精密制管有限公司 | Necking pipe fitting necking strength detection tool |
| CN114570670B (en) * | 2022-05-06 | 2022-08-05 | 张家港保税区亚鑫精密制管有限公司 | Necking pipe fitting necking strength detection tool |
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