CN107219300B - A kind of compactness detection on locomotive system based on the degree of correlation - Google Patents
A kind of compactness detection on locomotive system based on the degree of correlation Download PDFInfo
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
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Abstract
The compactness detection on locomotive system based on the degree of correlation that the invention discloses a kind of, including vibrating sensor, data collecting instrument, host computer, display, acceleration signal is acquired by vibrating sensor, data centralized procurement instrument connects vibrating sensor by IEPE interface and receives acceleration signal, after improving vibration signal, AD conversion, FFT transform, amplitude and phase in frequency domain information are sent to host computer, host computer carries out the algorithm based on degree of correlation function coefficients to spectrum information and calculates compactness, and sends display for compactness and show.Detection on locomotive compactness can show the information of compactness in time in the construction process, make improvements measure in time for construction party, provide construction quality.
Description
Technical field
The compactness detection on locomotive system based on the degree of correlation that the present invention relates to a kind of.
Background technique
Today's society Process of Urbanization Construction is in the stage of the development that strides greatly, laying either quality of the people to road
Or the requirement of quantity has all reached a unprecedented height, and the compacting of embankment, roadbed and basic material is for highway road
The performance in face is intuitively important, accounts for the extreme portions of National Highway construction budget.Heterogeneity, equipment and the operation of earth materials
The difficulty of moisture content is determined in the variability of personnel and maintenance even laminating thickness verification, so that required soil compaction is difficult to
It realizes.Current quality control and appropriate guarantee test device, commonly used in assessing the practical compaction area less than 1%.
The method of traditional inspection compactness, such as core cutter method fill micromicrofarad, bubble method etc..All be after compacting again
Inspection is sampled to soil, this quadrat method will rely on manual operations known to carefulness, take a lot of work, is time-consuming, and being provided only in
It is being obtained in a limited number of test points as a result, thus often with biggish randomness.Meanwhile traditional method can not be
Asian TV Station obtains the information of compactness during carrying out, thus when being compacted insufficient, it can only do over again and press again, and in overcompaction
Then good-by wastes energy.
Therefore people wish to always a kind of device of detection on locomotive compactness for a long time, and can be with real-time display
Continuous compactness is as a result, to operator and construction technology to instruct.
Successively there are several detection on locomotive devices to come out since the seventies, such as in world patent W082/01905, it is auspicious
Allusion quotation patent SE424455 (Dynapac company, Sweden), the index of the compactness is nondimensional harmonic ratio, i.e. compacting evaluation CMV,
This algorithm was facts have proved later without commonly used value.
The eighties BOMAG, AMMANN start to manufacture continuous control product compaction.Its principle is all compacting meter principle, is adopted
With harmonic ratio class index, such as 10CMV of Germany.Second half the 1990s, it is rigid to which platform soil that Bomag has introduced offer
Spend the vibration modulus Evib of measurement (such as: Krober et al. is proposed for 2001 in article).1999, Ammann was also introduced
Soil stiffness parameter ks(also referred to as KB) (Anderegg 1998, Anderegg and Kaufmann2004).Evib and ks
Introduction, indicate to more mechanization, great the drilling with performance-relevant soil attribute (such as: soil stiffness/modulus) measurement
Become.So far major main engine plants commercial city has devised oneself with vehicle compactness monitoring device and algorithm, but monitors about compactness
Algorithm all Shortcomings, do not have generality.
As Road Machinery Branch of Xugong Construction Machinery Group Co., Ltd., domestic road roller largest production manufacturer,
It is designed in conjunction with existing compactness big data, Vehicular vibration parameter, soil attribute and develops a kind of compacting based on the degree of correlation
Spend detection on locomotive algorithm and system.
Summary of the invention
Purpose: in order to overcome the deficiencies in the prior art, the present invention provide it is a kind of based on the compactness of the degree of correlation with
Car test examining system.
Technical solution: in order to solve the above technical problems, the technical solution adopted by the present invention are as follows:
A kind of compactness detection on locomotive system based on the degree of correlation, it is characterised in that: acquired including vibrating sensor, data
Instrument, host computer, display,
Acceleration signal is acquired by vibrating sensor, data centralized procurement instrument connects vibrating sensor by IEPE interface and receives
Acceleration signal, after improving vibration signal, the amplitude and phase in frequency domain information are sent to by AD conversion, FFT transform
Host computer, host computer carries out the algorithm based on degree of correlation function coefficients to spectrum information and calculates compactness, and compactness is sent
It is shown to display.
Preferably, the design of the vibrating sensor is to sensitivity, range, frequency response, resonance frequency, work temperature
Degree, degree of protection, isolation method, output form, installation form, system power supply power supply, shell protection measure these indexs are done
Detailed standard requirements.
Preferably, the design of the data collecting instrument is to system power supply, outlet method, operating temperature, storage temperature
Degree, degree of protection, time-domain information storage TF card slot, time-domain information storage sample rate, the resolution ratio of timing information, EMC test this
A little indexs have done detailed requirement.
Preferably, the data collecting instrument further includes data storage device, powers on i.e. unlatching memory module, carries out
Storing data is completed in the storage of vibration time-domain signal, power-off in real time.The data format of storage answers storage time axis information simultaneously, deposits
The purpose of data of storage is the historical data in order to call when display plays back compacting process and compactness parameter.
Preferably, the host computer receives the frequency domain information of data collecting instrument by CAN bus, and believes frequency domain
The phase and range parameter of breath carry out the calculating of the compactness based on relevancy algorithm, and calculated result is sent by CAN bus
It is shown to display.
Preferably, the display carries out real-time display to the compactness parameter that host computer uploads, and will pressure
Solidity parameter, which is compared with design objective and result is carried out the division in color, facilitates operator to check, and display
Also have the function of playback display compacting process and compactness parameter.
The detection method for the compactness detection on locomotive system based on the degree of correlation that the present invention also provides described, including following step
It is rapid:
Step a: vibrating sensor acquires time domain acceleration signal；
Step b: time domain acceleration signal carries out anti-aliasing filter by analog filter；
Step c: by filtered analog signal with certain sampling rate, AD transformation is carried out；
Step d: after acquisition certain point number, a Fast Fourier Transform (FFT) is carried out；
Step e: the frequency information after Fast Fourier Transform (FFT) carries out sequence marshalling by amplitude and phase；
Step f: host computer carries out degree of correlation function system for the empirical data saved in spectrum information and memory block is received
Number calculates；
Step g: generating correlation function coefficient function, and find out the maximum value of the function, and using this value as current compacting
The numerical value of degree.
The utility model has the advantages that the compactness detection on locomotive system provided by the invention based on the degree of correlation, have the advantage that 1, with
Compactness is surveyed in car test, can be shown the information of compactness in time in the construction process, be made improvements measure in time for construction party, mention
For construction quality.2, the time-domain information stored in data collecting instrument, facilitate operator look back construction data, convenient for management with apply
Monitoring of the work side to work progress.3, the calculating of degree of correlation function considers the vibration characteristics of soil itself, according to big data
Spectrum curve is fitted, can not have to make vehicle the work demarcated, the use process of simplified system.
Detailed description of the invention
Fig. 1 is system block diagram of the invention.
Specific embodiment
The present invention will be further explained combined with specific embodiments below.
As shown in Figure 1, for a kind of compactness detection on locomotive system based on the degree of correlation of the present invention, including vibrating sensor,
Data collecting instrument, host computer, display, for data collecting instrument by IEPE interface, the acceleration signal for receiving vibrating sensor is logical
It crosses the analog filter that cutoff frequency is 500Hz and carries out anti-aliasing filter, then with the sampling rate of 4.096KHz, vibration is believed
Number carry out AD transformation.After 4096 points of every sampling, a Fast Fourier Transform (this time-frequency spectrum resolving power is 1Hz) is carried out, after
Amplitude and phase within the scope of 1-300Hz are sent to host computer, communications protocol and mode are shown in Table 1.Host computer passes through the degree of correlation
Algorithm, which calculates, to be sent display by CAN bus for result after compactness and shows.
1 spectrum information communications protocol of table
1, the index of vibrating sensor are as follows:
● sensitivity: 50mv/g
● range: ± 25g
● frequency response: 1~5000HZ (± 5%)
● resonance frequency: 20KHZ
● operating temperature: -40~100 DEG C
● degree of protection: IP67
● isolation method: it is isolated with ground
● output form: whole linear sealing output
● installation form: 2-M6
● system power supply power supply: 9~36V of DC
● shell protection measure: stainless steel material is used to ensure that product is not corroded by humidity salt mist degree etc..
2, the index of data collecting instrument are as follows:
● system power supply: 9~36V
● outlet method: sealing waterproof, sensor cable outlet 2.5m；1 meter of centralized procurement instrument CAN cable outlet (shielding multiple twin
Line)
● operating temperature: -40 DEG C to+85 DEG C (- 40 °F to+185 °F)
● storage temperature: -55 DEG C of 125 DEG C of to (- 67 °F to+257 °F)
● degree of protection: sensor IP67
● time-domain signal stores TF card slot: maximum supports 32G；
● time-domain information stores sample rate: 4.096K
● the resolution ratio of time-domain information: 1/4096=250 μ s.
● EMC:Directive:72/245/EWG
Directive:75/322/EWG
DIN EN 13309,
ISO 7637,
DIN EN 14982
The data collecting instrument further includes data storage device, powers on i.e. unlatching memory module, is vibrated in real time
Storing data is completed in time-domain signal storage, power-off.The data format of storage answers storage time axis information simultaneously, the data mesh of storage
Be for display plays back compacting process and when compactness parameter calls historical data.
The host computer, by CAN bus receive data collecting instrument frequency domain information, and to the phase of frequency domain information with
Range parameter carry out the compactness based on relevancy algorithm calculating, and by calculated result by CAN bus be sent to display into
Row display.
The display, to host computer upload compactness parameter carry out real-time display, and by compactness parameter with
Design objective, which is compared and result is carried out the division in color, facilitates operator to check, and display also has playback
Show the function of compacting process and compactness parameter.
The present invention also provides a kind of compactness detection on locomotive algorithm based on the degree of correlation, using degree of correlation function to acceleration
The frequency domain information of signal carries out the numerical value that compactness is calculated in processing, the specific steps are as follows:
Step a: vibrating sensor acquires time domain acceleration signal；
Step b: time domain acceleration signal carries out anti-aliasing filter by the analog filter that cutoff frequency is 500Hz；
Step c: by filtered analog signal with 4.096KHz sampling rate, AD transformation is carried out；
Step d: after 4096 points of acquisition, a Fast Fourier Transform (FFT) is carried out；
Step e: the frequency information after Fast Fourier Transform (FFT) is carried out the sequence marshalling of 1-300 by amplitude and phase；
Step f: host computer carries out degree of correlation function system for the empirical data saved in spectrum information and memory block is received
Number calculates；
Step g: define number m initial value be 0 it is corresponding be the 1-300 of data in step e marshalling sequence, m is greater than 300
Otherwise then jump procedure j calculates Rxx(0) the correlation function value and R of data are currently receivedyy(0) empirical data from phase
Pass degree function value, calculation formula are
The auto-correlation function of rumble spectrum signal ordered series of numbers x (n) is defined as
Step h: the cross correlation measure function R of current data and empirical data is calculatedxy(m), formula is
Step i: correlation function coefficient function ρ is calculatedxyIt (m), is a nondimensional function, and value range is [0,1],
Formula isM=m+1；Jump procedure g；
Step j: to ρxyCirculation comparison is carried out, the maximum value of the function is found out, then this value is the compacting degree of current data
Value.
Correlation formula and letter explanation: the auto-correlation function of rumble spectrum signal ordered series of numbers x (n) is defined as
The cross-correlation function of rumble spectrum signal x (n) and y (n) is defined as:
The correlation coefficient function of rumble spectrum signal x (n) and y (n), is defined as:
In above formula, m indicates that the circulation subscript of sequence, value range are 0~300.N indicates sequence length, is natural number, this
N value 300 in embodiment.
The above is only a preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (7)
1. a kind of compactness detection on locomotive system based on the degree of correlation, it is characterised in that: acquired including vibrating sensor, data
Instrument, host computer, display,
Acceleration signal is acquired by vibrating sensor, data centralized procurement instrument is connected vibrating sensor and received by IEPE interface to be accelerated
Signal is spent, after improving vibration signal, the amplitude and phase in frequency domain information are sent to upper by AD conversion, FFT transform
Machine, host computer carries out the algorithm based on degree of correlation function coefficients to frequency domain information and calculates compactness, and sends compactness to aobvious
Show that device is shown；
The algorithm based on degree of correlation function coefficients calculates compactness, comprising:
The sequence marshalling that frequency domain information is carried out to 1-300 by amplitude and phase, obtains the marshalling sequence of 1-300；
Step g: define number m initial value for 0 it is corresponding be the 1-300 marshalling sequence；M is greater than 300 jump procedures
Otherwise j calculates Rxx(0) the correlation function value and R of data are currently receivedyy(0) the correlation function number of empirical data
Value, calculation formula areM=0；
The auto-correlation function of rumble spectrum signal ordered series of numbers x (n) is defined as
In formula, m indicates that the circulation subscript of sequence, value range are 0~300；N indicates sequence length, is natural number；
Step h: the cross correlation measure function R of current data and empirical data is calculatedxy(m), formula is
Step i: correlation function coefficient function ρ is calculatedxyIt (m), is a nondimensional function, and value range is [0,1], formula
ForM=m+1；Jump procedure g；
Step j: to ρxyCirculation comparison is carried out, the maximum value of the function is found out, then this value is the compactness numerical value of current data.
2. the compactness detection on locomotive system according to claim 1 based on the degree of correlation, it is characterised in that: the vibration passes
The sensitivity 50mv/g of sensor, 1~5000HZ of frequency response, resonance frequency 20KHZ, operating temperature -40~100 DEG C.
3. the compactness detection on locomotive system according to claim 1 based on the degree of correlation, it is characterised in that: the data are adopted
Collect 9~36V of system power supply of instrument, -40 DEG C to+85 DEG C of operating temperature, -55 DEG C to 125 DEG C of storage temperature, time-domain information storage is adopted
Sample rate 4.096K, timing information resolution ratio be 250 μ s.
4. the compactness detection on locomotive system according to claim 1 based on the degree of correlation, it is characterised in that: the data are adopted
Collecting instrument further includes data storage device, powers on i.e. unlatching memory module, carries out the storage of vibration time-domain signal, power-off in real time and completes
Storing data.
5. the compactness detection on locomotive system according to claim 1 based on the degree of correlation, it is characterised in that: the host computer
The frequency domain information of data collecting instrument is received by CAN bus, and the phase of frequency domain information is carried out to range parameter based on related
The compactness for spending algorithm calculates, and sends display by CAN bus for calculated result and show.
6. the compactness detection on locomotive system according to claim 1 based on the degree of correlation, it is characterised in that: the display
Real-time display is carried out to the compactness parameter that host computer uploads, and compactness parameter is compared with design objective and will be tied
The division that fruit carries out in color facilitates operator to check, and display also has playback display compacting process and compactness ginseng
Several functions.
7. the detection method of the compactness detection on locomotive system described in claim 1 based on the degree of correlation, which is characterized in that including
Following steps:
Step a: vibrating sensor acquires time domain acceleration signal；
Step b: time domain acceleration signal carries out anti-aliasing filter by analog filter；
Step c: it by filtered analog signal with certain sampling rate, is AD converted；
Step d: after acquisition certain point number, primary quick FFT transform is carried out；
Step e: the frequency domain information after quick FFT transform carries out sequence marshalling by amplitude and phase；
Step f: host computer carries out degree of correlation function coefficients meter for the empirical data saved in frequency domain information and memory block is received
It calculates；
Step g: correlation function coefficient function is generated, and finds out the maximum value of the function, and using this value as current compactness
Numerical value.
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| CN107991466A (en) * | 2018-01-24 | 2018-05-04 | 江苏润城市政建设工程有限公司 | A kind of backfilling of earthwork compactness measuring device |
| CN112730622B (en) * | 2021-03-16 | 2021-06-22 | 西南交通大学 | Roadbed compaction quality testing method, device and equipment and readable storage medium |
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