CN115374826A - Machine soil direct contact type filler compaction state distinguishing method and application - Google Patents
Machine soil direct contact type filler compaction state distinguishing method and application Download PDFInfo
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Abstract
The method for judging the filling compaction state of the mechanical soil direct contact type and the application thereof comprise the steps of monitoring a vibration signal of the vibratory roller in real time; arranging a vibration wave excitation device to excite high-frequency vibration waves, and monitoring a continuous compaction control index detection device; separating and extracting the vibration waves by utilizing the vibration characteristics with high vibration frequency of the high-frequency waves to obtain acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle, comparing and analyzing the two acceleration time-course curves to obtain the time when the vibration waves generated by the vibratory roller reach the front wheel and the rear wheel of the detection vehicle, and calculating to obtain the wave velocity of the vibration waves; the compaction requirements are met after the rolling for years in the region with lower wave velocity of obvious vibration waves and the detection of the wave velocity. The invention completes the detection of compaction quality in the construction stage and adjusts the construction working condition in the poor area under the compaction state, thereby greatly improving the efficiency of the high-speed railway roadbed construction quality inspection and having remarkable economic and social benefits.
Description
Technical Field
The invention belongs to the technical field of continuous compaction of high-speed railway subgrades. Specifically, the invention relates to a method for distinguishing a filling material compaction state by machine soil direct contact and application thereof.
Background
According to the theory of advanced railway planning for new traffic compendium of strong country in 8 months in 2020, the railway network in China is proposed to be built first, so that the interconnection and intercommunication of the railway network at home and abroad are realized, and it is pointed out that the railway network in China reaches about 20 kilometers by 2035 years, wherein about 7 kilometers of high-speed rails are used, the railway coverage is realized in cities with more than 20 million people, and the high-speed railway access in cities with more than 50 million people is realized. By 2050 years, a more developed and perfect modern railway network is built. With the increase of the base mileage of the high-speed railway in China, the safety type of the high-speed railway subgrade becomes more important, the compaction quality of the high-speed railway subgrade is also emphasized, and then the method for judging the safety performance of the high-speed railway subgrade becomes more important.
At present, the control methods of the compaction quality of the high-speed railway subgrade mainly comprise the following steps:
empirical method: 1. a compaction pass method: judging whether the roadbed is compacted or not according to the on-site compaction condition and the compaction times of the vibratory roller; 2. a wheel tracking method: the roadbed compaction can be judged through the rolling traces of the on-site road roller until the traces disappear; 3. direct measurement: dry density method: the compaction degree of the roadbed is directly measured by a sand filling method, a water filling method and other methods.
Mechanical index control method: 1. k30: the compaction degree of the roadbed is represented by a flat plate loading method K30; 2. evd: the dynamic deformation modulus is measured to indicate the degree of compaction of the subgrade.
Continuous compaction index: the compaction index is calculated by arranging a sensor on the vibratory roller and monitoring the position of an eccentric mass in the vibratory roller.
The empirical method is not suitable for objectively judging the compaction degree of the roadbed because most of the compaction is judged to be influenced by human factors. The direct measurement method is a method that point-to-surface control is not suitable for large-area measurement, and mechanical indexes and continuous compaction indexes represent compaction degree through an indirect index and do not directly represent density, so that certain defects exist.
In addition, several prior arts are as follows: CN112924310A discloses a method for detecting compaction quality of rockfill dam material based on soil stiffness, and discloses a method for detecting compaction quality of rockfill dam material based on soil stiffness, which comprises the following steps: establishing a three-degree-of-freedom dynamic analysis model of a rolling machine-soil body vibration system which can be applied to the rock-fill dam material by combining the rolling characteristic of the rock-fill dam material, and obtaining the relation between soil body parameters and the acceleration of the vibration system; taking an absolute value of the measured acceleration signal data of the vibrating wheel, and performing peak value selection and sliding average to obtain an average amplitude a2m of the acceleration signal of the vibrating wheel; through parameter sensitivity analysis, the soil mass damping cs can be assumed to be a damping value in an initial rolling state all the time, and the obtained acceleration average amplitude a2m and the relation between the soil mass parameters and the acceleration are used for rapidly calculating the soil mass stiffness to reflect the compaction quality of the rock-fill dam material in the vibration compaction process. The method can be applied to the field control of compaction quality and the detection of clay core walls and other fine materials, and has better detection effect on rockfill materials, gravel materials and other coarse materials.
CN110927257A discloses a detection system and method for detecting compaction quality of a basic flight area pavement influence area, and discloses a detection system and method for detecting compaction quality of a basic flight area pavement influence area on line in real time, in particular to a real-time detection and acceptance method for detecting compaction quality of an airport flight area pavement influence area. The method can quickly, accurately and efficiently detect the compaction degree and uniformity of the compaction layer without damage, establish acceptance criteria and effectively guide compaction construction management.
CN107938611A discloses a coupling roller vibration dam material compaction quality real-time detection device and method, relates to dam construction quality control field, for avoiding the error that the compaction quality is characterized because of the change of roller vibration frequency f, realizes the real-time detection of the compaction quality of earth-rock dam or roller compacted concrete dam, and provides the powerful guarantee for ensuring the dam construction quality. The invention discloses a real-time detection device for compaction quality of a coupling grinding wheel vibrating dam material, which comprises 5 parts of a grinding acceleration sensor, a GNSS positioning module, a vehicle-mounted integrated controller module, a wireless communication module and a grinding machine power module, wherein the grinding acceleration sensor is arranged on a vibrating wheel of a grinding machine and does not rotate along with the vibrating wheel. The invention is mainly applied to construction quality control occasions.
In the three prior arts, a roadbed compaction quality detection index is obtained by monitoring the vibration response of the vibration wheel in the rolling process through a data processing method, but the compaction quality detection index is greatly influenced by the speed and the vibration working condition of the vibratory roller, and a standard qualified value of the compaction index cannot be provided. The invention obtains a compaction quality direct detection index shear wave velocity by arranging vibration response measuring points at a plurality of positions of the vibratory roller, thereby directly reflecting the compaction quality of the roadbed.
Disclosure of Invention
The invention aims to provide a method for judging a continuous compaction control index by directly detecting the properties closely related to a filler, and the method can directly reflect the compaction quality of the filler in a soil body.
The invention provides a method for judging the compaction state of a filler by a machine-soil direct contact mode, which comprises the following steps:
step 1: mounting a three-way acceleration sensor on a frame of a front wheel of the vibratory roller, and monitoring a vibration signal of the vibratory roller in real time; arranging a vibration wave excitation device at a position close to the vibration wheel;
step 2: installing a continuous compaction control index detection device on a self-movable automatic power trolley or a vibratory roller;
and 3, step 3: exciting high-frequency vibration waves through a vibration wave exciting device at the construction stage of the vibratory roller, and simultaneously monitoring the installed continuous compaction control index detection device in real time, wherein a signal detected by an acceleration sensor on the detection device consists of three parts: respectively environmental noise, vibration waves of the vibration wheel and high-frequency excitation waves;
and 4, step 4: separating the vibration waves by utilizing the vibration characteristics of high vibration frequency of the high-frequency waves, and extracting the vibration waves by adopting a band-pass filtering processing mode;
and 5: obtaining acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle after filtering in the step (4), and comparing and analyzing the two acceleration time-course curves to obtain the time when the vibration waves generated by the vibratory roller reach the front wheel and the rear wheel of the detection vehicle, so as to calculate the wave speed of the vibration waves;
and 6: the soil compaction state can be evaluated through the propagation speed of the vibration wave by calculating the acceleration signal generated by the vibration of the vibration wheel and acquired in the step (4);
and 7: the compaction requirements are met after the rolling for years in the region with lower wave velocity of obvious vibration waves and the detection of the wave velocity.
The invention also discloses a method for judging the compacted state of the filling by using the machine soil direct contact type filling, which is applied to the construction process of the high-speed railway roadbed.
Has the advantages that:
(1) Carrying out compaction detection under the condition of not damaging the roadbed;
(2) Monitoring in real time during the compaction construction process;
(3) The detection of the compaction area changes along with the change of the position of the detection vehicle, and the normal construction progress is not influenced.
Drawings
FIG. 1 is a schematic diagram of a vibration wheel signal;
FIG. 2 is a front view of a continuous compaction control index detection apparatus;
FIG. 3 is a left side view of a continuous compaction control index detection apparatus;
FIG. 4 is a continuous compaction apparatus mounted on a vibratory roller;
FIG. 5 is a flow chart of a state determination method;
fig. 6 is a time course curve of acceleration of the detecting device: (a) detecting an acceleration time course curve for the front wheel; (b) detecting an acceleration time course curve for the rear wheel;
FIG. 7 is a first set of post-bandpass filtered acceleration time-course curves: (a) is a front wheel acceleration time-course curve after band-pass filtering; (b) is a rear wheel acceleration time course curve after band-pass filtering;
FIG. 8 is a second set of bandpass filtered acceleration time curves: (a) is a front wheel acceleration time course curve after band-pass filtering; and (b) is a time course curve of the acceleration of the rear wheel after band-pass filtering.
FIG. 9 is a comparative analysis diagram of acceleration time-course curves of two sensors after band-pass filtering of the first group of vibration waves.
Detailed Description
The present invention is described in further detail below with reference to specific embodiments, and the examples are given only for illustrating the present invention and not for limiting the scope of the present invention.
The invention provides a method for judging the compaction state of a filler by a machine-soil direct contact mode, which comprises the following steps:
(1) The three-way acceleration sensor is mounted on a frame of a front wheel of the vibratory roller, vibration signals of the vibratory roller are monitored in real time, and the vibration signals of the vibratory roller are mainly concentrated at 27Hz, the noise distribution of environmental vibration is high, but the amplitude of the acceleration signals is low, so that the vibration signals can be identified by arranging a vibration wave excitation device at a position close to the vibratory roller and inputting high-frequency vibration signals.
(2) A continuous compaction control index detection device (a device capable of detecting a ground acceleration sensor) is arranged on a self-movable automatic trolley or a vibratory roller, and the device has the following specific form:
the method comprises the following steps: the device is modified on the basis of an original movable automatic trolley (or other movable equipment), a plurality of transverse and vertical connecting rods are additionally arranged at the front wheel position (or the automobile body position), wherein the transverse connecting rods are connected with wheels of the automatic trolley, the connected devices are bearings capable of rotating along with the automobile, when the detection trolley moves forwards, if the devices are connected to the wheel positions, the bearings rotate along with the wheels, the transverse connecting rods cannot rotate, and if the devices are installed on the automobile body position, the problems cannot occur. The other end of the connecting rod is connected with a longitudinal connecting rod, mutual restraint of the longitudinal connecting rod and the transverse connecting rod is that the transverse connecting rod restrains horizontal displacement of the longitudinal connecting rod but does not restrain vertical displacement of the longitudinal connecting rod, an acceleration sensor is arranged on the vertical connecting rod to monitor ground vertical acceleration of the detection vehicle in the advancing process to carry out real-time monitoring, and fig. 2 is a schematic diagram of the device. And placing the detection vehicle on the same lane of the vibratory roller in the construction process.
The second method comprises the following steps: the transverse connecting rod, the vertical connecting rod and the acceleration sensor are arranged on a vehicle body of the vibratory roller, and the rigid wheel in the device is contacted with the ground to directly detect the vibration wave.
The above-mentioned mode of the acceleration sensor arranged on the ground combines the detection of the vibration response of the surface of the roadbed filling with the detection of the vibration response movement of the roadbed filling, and has the following advantages compared with the mode of arranging the acceleration sensor in the vibration wheel in a flashing manner: 1. the sensor is directly arranged on the surface of the roadbed and moves along with the vibratory roller, and can directly detect the vibration response of the roadbed surface filler. 2. The method has the advantages that mutual correction is realized by arranging a plurality of acceleration sensors, and a novel compaction quality continuous monitoring index in the vibration rolling process is calculated.
(3) In this embodiment, two acceleration acquisition devices are installed as an example, and the device in the first method is installed with front wheels and rear wheels simultaneously, or two continuous compression control index detection devices are installed on a machine body of a vibratory roller in the second method, high-frequency vibration waves are excited in the construction stage of the vibratory roller, and the installed continuous compaction control index detection devices are monitored in real time, and signals detected by an acceleration sensor on the detection device are composed of three parts: the vibration wave of the vibration wheel is complex nonlinear mixed mode vibration wave composed of the environmental noise, vibration of the vibratory roller and the high-frequency excitation wave, and the nonlinear mixed mode vibration wave can be decomposed into vibration waves with single mode vibration characteristics in an Empirical Mode Decomposition (EMD) mode, which are called intrinsic mode component signals (IMF), and the number of the intrinsic mode component signals is determined by the width of a frequency spectrum of an original signal.
The concept of Empirical Mode Decomposition (EMD) and IMF components is defined as follows:
(1) In the data set, the number of extreme points and the number of zero-crossing points are equal or differ by at most one number;
(2) At any point, the mean of the upper envelope defined by the local maxima and the lower envelope defined by the local minima is zero.
The function that satisfies the above condition is called IMF because it represents the mode of oscillation in the original data, and IMF only involves one mode of oscillation at each cycle.
In order to obtain a stable IMF characteristic data sequence with a stable sequence, firstly, an EMD is adopted to carry out stabilization processing on an acceleration unsteady state signal.
The specific method comprises the following steps:
inputting original signal
Searching the maximum and minimum values of the signal species, and respectively fitting the upper envelope line according to the local maximum and minimum values by a cubic spline function
And a lower envelope
.
Local mean of upper and lower envelope
And taking into account the original signal x (t) and the envelope mean
A difference of (i.e.
.
Judgment of
If the intrinsic mode function requirement is met, repeating the process until the local mean value is obtained
Approaching zero time, can order
Thereby obtaining the original acceleration signal
In the process, the following relation is satisfied:
……
wherein the local mean value
Representing asymmetric components of low frequency, and defining decomposition residual error by summing k local means
The above decomposition has two main functions: 1. elimination of ride waves (small-scale disturbances superimposed on large-scale waves); 2. smoothing out uneven amplitudes. In addition, to ensure that the eigenmode function retains sufficient physical significance of amplitude and frequency modulation, a termination criterion is selected, here by limiting the Standard Deviation (SD) component size, which can be calculated from two successive screening results as follows:
typical values of SD are usually between 0.2 and 0.3
Repeating the above three steps, and processing the characteristic time scale from small to large according to the processing result to obtain each intrinsic mode function
In which the respective resulting residuals
Is treated as new data until
Becomes a monotonic function. When in use
And
and finishing the cycle when the given planting conditions are met.
Thereby, an acceleration signal can be generated
Decomposed into a set of IMFs meeting Hilbert transform requirements and a residual.
The Fourier transform is carried out on each eigenmode component signal to obtain the frequency distribution range of different eigenmode component signals according to the following formula, and the frequency distribution characteristic of the frequency spectrum range of the environmental noise is wide in distribution range but low in amplitude, so that the frequency of the vibration wave excited by the vibratory roller is about 27Hz generally, and the frequency spectrum distribution of the high-frequency excitation wave is about 80Hz.
f (t) -original signal
T-period of original signal
Therefore, the excited high-frequency vibration wave can be obtained only by adopting a band-pass filtering method to set the lower limit of the cut-off frequency of the complex nonlinear mixed mode vibration wave to be 50Hz and the upper limit of the cut-off frequency to be 150 Hz.
(4) Because the frequency of the environmental vibration noise is an acceleration time-course signal with wide frequency distribution range and lower amplitude, the vibration signal sent by the vibration wheel in the step (1) is a part with higher amplitude under a fixed frequency band of 27Hz, and the actively excited high frequency is obviously higher than the vibration wave frequency of the vibration roller during working, so that the vibration characteristic of the high vibration frequency of the high frequency wave can be utilized to separate the vibration wave, and the mode of setting band-pass filtering to cut the upper limit and the lower limit of the frequency can be adopted to extract the excited high frequency signal from the complex signal. For example, the high-frequency signal has a frequency of 50Hz, the vibration frequency of the vibration wheel is only 20Hz, the upper limit of the cut-off frequency can be set to 60Hz, and the lower limit can be set to 40Hz, so that the high-frequency vibration wave can be extracted.
(5) And (5) obtaining acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle after filtering in the step (4), comparing and analyzing the two-section acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle to obtain the time when the vibration waves generated by the vibration road roller reach the front wheel and the rear wheel of the detection vehicle, and calculating to obtain the wave speed of the vibration waves. The comparative analysis procedure was as follows: comparing the acceleration time-course curves (x axis is a time axis and y axis is an acceleration amplitude axis) of the high-frequency vibration signals acquired by the two acceleration sensors obtained in the step (4) with the x axis and the y axis in the same range, and observing the time difference of the acceleration amplitude in the same vibration period as delta t) (calculating process: step (5) obtaining the time difference of the two acceleration sensors for detecting the vibration wave in the same period, and further obtaining the calculation of the wave velocity of the vibration wave by measuring the distance between the two acceleration sensors)
(6) Since the propagation speed of the vibration wave in the solid medium changes along with the change of the properties of the solid, the propagation speed of the vibration wave in the solid increases along with the increase of the modulus and the density of the filler soil. Therefore, the compaction state of the soil body can be evaluated through calculation according to the acceleration signal generated by the vibration of the vibration wheel and acquired in the step (4):
in the above-mentioned formula, the compound has the following structure,
the propagation velocity of the vibration wave in the soil, E is the elastic modulus of the filler,
in order to obtain the poisson ratio,
density of the soil body;
one group of: x is 4m, and the structure is shown in the specification,
the time of the reaction is 0.05s,
=80m/s.
two groups are as follows: x is 4m, and the structure is shown in the specification,
the time is 0.07s, and the time is,
=57.1m/s.
in summary, compared with one group and two groups, the wave speed of one group is faster than that of the two groups, so that the compaction state of one group of fillers is directly better than that of the two groups, and the two groups of fillers need to be continuously rolled under the designed working conditions. The comparative process is exemplified as follows: fig. 6 is an acceleration time-course curve of vibration waves detected by two acceleration sensors, which contains three contents of ambient noise, high-frequency waves and vibration waves generated by the vibratory roller, fig. 7 is the high-frequency vibration waves after filtering processing in step (5), fig. 8 is a graph in which the acceleration time-course curves of two groups of high-frequency vibration waves are placed on the same x axis and y axis, the positions of arrows represent vibration signals of the same vibration period, wherein the vibration wave with a relatively high amplitude counted from left to right is the vibration signal of the acceleration sensor at a position closer to the seismic source, the vibration wave with a relatively low amplitude of the second arrow is the vibration signal of the acceleration sensor at a position farther from the seismic source, and the difference between the horizontal coordinates of the x axis corresponding to the first arrow and the second arrow is the time difference from the sensor 1 to the sensor 2, i.e., Δ t, and then the vibration wave propagation wave velocity can be obtained through step (5).
(7) The compaction requirements are met after rolling for years in an area with lower obvious vibration wave velocity and the wave velocity detection.
According to the invention, the vibration waves are separated and the high-frequency waves are identified in real time in the compaction process of the vibratory roller, and then the wave velocity related to the density of the filler is obtained through comparative analysis to evaluate the compaction quality in real time. The method overcomes the defects of post detection of the traditional detection method in the roadbed compaction and destructive detection on the roadbed surface in the background technology, and achieves the purpose of evaluating the roadbed quality in real time in the compaction process.
The foregoing shows and describes the general principles, principal features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The machine soil direct contact type filler compaction state distinguishing method is characterized by comprising the following steps: the method comprises the following steps:
step 1: mounting a three-way acceleration sensor on a frame of a front wheel of the vibratory roller, and monitoring a vibration signal of the vibratory roller in real time; a vibration wave excitation device is arranged at a position close to the vibration wheel;
step 2: installing a continuous compaction control index detection device on a self-movable automatic power trolley or a vibratory roller;
and step 3: exciting high-frequency vibration waves through a vibration wave exciting device at the construction stage of the vibratory roller, and simultaneously monitoring the installed continuous compaction control index detection device in real time, wherein a signal detected by an acceleration sensor on the detection device consists of three parts: respectively environmental noise, vibration waves of the vibration wheel and high-frequency excitation waves;
and 4, step 4: separating the vibration waves by utilizing the vibration characteristics of high vibration frequency of the high-frequency waves, and extracting the vibration waves by adopting a band-pass filtering processing mode;
and 5: obtaining acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle after filtering in the step (4), and comparing and analyzing the two acceleration time-course curves to obtain the time when the vibration waves generated by the vibratory roller reach the front wheel and the rear wheel of the detection vehicle according to the time, so as to calculate the wave speed of the vibration waves;
step 6: evaluating the soil compaction state through the vibration wave propagation speed by calculating the acceleration signal generated by the vibration of the vibration wheel and acquired in the step (4);
and 7: the compaction requirements are met after the rolling for years in the region with lower wave velocity of obvious vibration waves and the detection of the wave velocity.
2. The method for discriminating a compacted state of a filler by direct contact with machine soil according to claim 1, wherein: the step 1 further comprises the following steps: the three-way acceleration sensor is arranged on a rack of a front wheel of the vibratory roller to monitor vibration signals of the vibratory roller in real time, and the vibration signals of the vibratory roller are mainly concentrated at 27Hz, the noise distribution of environmental vibration is high, but the amplitude of the acceleration signals is low, so that the vibration signals can be identified by inputting high-frequency vibration signals through arranging a vibration wave excitation device at a position close to the vibratory roller.
3. The method for discriminating a compacted state of a filler by direct contact with machine soil according to claim 1, wherein: the step 3 further comprises the following steps: the device is modified on the basis of original movable equipment, a plurality of transverse and vertical connecting rods are additionally arranged at the front and rear wheel positions or the vehicle body position, wherein the transverse connecting rods are connected with wheels of the automatic power trolley, and the connected devices are bearings capable of rotating along with the vehicle; the other end of the connecting rod is connected with the longitudinal connecting rod, mutual restraint of the longitudinal connecting rod and the transverse connecting rod is that the transverse connecting rod restrains horizontal displacement of the longitudinal connecting rod but does not restrain vertical displacement of the longitudinal connecting rod, and the vertical connecting rod is provided with an acceleration sensor to monitor ground vertical acceleration in the advancing process of the detection vehicle so as to carry out real-time monitoring.
4. The method for discriminating a compacted state of a filler by direct contact with machine soil according to claim 3, wherein: the step 3 further comprises the following steps: the transverse connecting rod, the vertical connecting rod and the acceleration sensor are installed on a vehicle body of the vibratory roller, and a rigid wheel in the device is in contact with the ground to directly detect the vibration waves.
5. The method for discriminating a compacted state of a filler by direct contact with machine soil according to claim 1, wherein: the step 3 further comprises the following steps: the method comprises the steps that complex nonlinear mixed mode vibration waves composed of environmental noise, vibration of the vibratory roller and high-frequency excitation waves are decomposed into vibration waves with single mode vibration characteristics in an Empirical Mode Decomposition (EMD) mode, and the vibration waves are called intrinsic mode component signals (IMF), wherein the number of the intrinsic mode component signals is determined by the width of a frequency spectrum of an original signal;
the concept of Empirical Mode Decomposition (EMD) and IMF components is defined as follows:
(1) In the data set, the number of extreme points and the number of zero-crossing points are equal or differ by at most one number;
(2) At any point, the mean of the upper envelope defined by the local maxima and the lower envelope defined by the local minima is zero;
the function that satisfies the above condition is called IMF because it represents the oscillation mode in the original data, and IMF only involves one oscillation mode in each cycle;
in order to obtain a stable IMF characteristic data sequence with a stable sequence, firstly, stabilizing an acceleration unsteady-state signal by adopting Empirical Mode Decomposition (EMD);
the specific method comprises the following steps:
inputting original signal
Searching the maximum value and the minimum value of the signal species, and respectively fitting the upper envelope curve according to the local maximum value and the local minimum value by adopting a cubic spline function
And a lower envelope
.
Local mean of upper and lower envelope
And taking into account the original signal x (t) and the envelope mean
A difference of (i.e.
.
Judgment of
Whether or not to satisfy the eigenmode functionIf not, repeating the above process until the local mean value
Approaching zero, can order
Thereby obtaining the original acceleration signal
In the process, the following relation is satisfied:
……
wherein the local mean value
Representing asymmetric components of low frequency, and defining decomposition residual error by summing k local means
The above decomposition has two main effects: 1. eliminating riding wave, 2, smoothing uneven amplitude; in addition, to ensure that the eigenmode function retains sufficient physical significance of amplitude and frequency modulation, a termination criterion is selected, here by limiting the Standard Deviation (SD) component size, which can be calculated from two successive screening results as follows:
typical values of SD are usually between 0.2 and 0.3
Repeating the above steps, and processing the characteristic time scale from small to large according to the processing result to obtain each intrinsic mode function
In which the respective resulting residuals
Is treated as new data until
Becoming a monotonic function; when in use
And
when the given planting conditions are met, the cycle is ended;
thereby, an acceleration signal can be generated
Decomposing the IMF into a group of IMFs which meet the requirement of Hilbert transformation and a residual error;
carrying out Fourier transform on each eigenmode component signal to obtain the frequency distribution range of different eigenmode component signals according to the following formula, wherein the frequency distribution characteristic of the frequency spectrum range of the environmental noise is wide distribution range but low amplitude, the frequency of the vibration wave excited by the vibratory roller is about 27Hz generally, and the frequency spectrum distribution of the high-frequency excitation wave is about 80Hz;
f (t) -original signal
T-period of original signal
6. The method for discriminating a compacted state of a filler by direct contact with machine soil according to claim 1, wherein: the step 5 further comprises the following steps: obtaining acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle after filtering in the step (4), and comparing and analyzing the two-section acceleration time-course curves of the front wheel and the rear wheel of the detection vehicle to obtain the time when the vibration waves generated by the vibration road roller reach the front wheel and the rear wheel of the detection vehicle, so as to calculate the wave velocity of the vibration waves; the comparative analysis procedure is as follows: comparing the acceleration time-course curves of the high-frequency vibration signals acquired by the two acceleration sensors obtained in the step (4) with the x axis as a time axis and the y axis as an acceleration amplitude axis in the same range, observing the time difference of the acceleration amplitudes in the same vibration period and recording the time difference as delta t, and calculating the following steps: and (5) obtaining the time difference of the two acceleration sensors for detecting the vibration waves in the same period, and further obtaining the calculation of the wave speed of the vibration waves by measuring the distance between the two acceleration sensors:
7. A non-volatile storage medium, comprising a stored program, wherein the program when executed controls an apparatus in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 6.
8. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for execution by the processor, wherein the computer readable instructions when executed perform the method of any one of claims 1 to 6.
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