CN113420611A - Method and device for detecting safety state of surrounding rock of roadway and electronic equipment - Google Patents
Method and device for detecting safety state of surrounding rock of roadway and electronic equipment Download PDFInfo
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Abstract
The application discloses a method for detecting a safety state of surrounding rocks of a roadway, which comprises the following steps: acquiring a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected; performing wavelet transformation on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected; according to the type of the surrounding rock of the roadway, acquiring a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected; and determining the safety state of the surrounding rock of the roadway to be detected according to the integral value and the safety criterion. Therefore, the method and the device can be used for determining the safety state of the surrounding rock of the roadway without depending on the vibration velocity peak value as the only basis for detecting the safety state of the surrounding rock of the roadway, and by combining the type of the surrounding rock of the roadway and the integral value of the time energy density curve which has strong correlation with the blasting vibration velocity peak value and the vibration dominant frequency, the safety state of the surrounding rock of the roadway is determined, and the reliability of the detection result of the safety state of the surrounding rock of the roadway is improved.
Description
Technical Field
The application relates to the technical field of coal mining, in particular to a method and a device for detecting a safety state of surrounding rocks of a roadway and electronic equipment.
Background
In recent years, with the rapid increase of the intelligence level of mining equipment, the requirement on the operation safety in the surrounding rock coverage area of the roadway is higher and higher. Accordingly, the detection of the safety state of the surrounding rock of the roadway has become one of the important directions for research.
In the related art, a regression analysis method is generally adopted to determine the safety state of the surrounding rock of the roadway. In particular, the regression analysis based on the peak velocity is the main detection method.
However, due to the regression analysis mode based on the peak value of the seismic velocity, the detection method has the defect of too single basis, and the detection result of the roadway surrounding rock safety state is very likely to have low accuracy and poor reliability.
Therefore, how to improve the accuracy and reliability in the detection process of the roadway surrounding rock safety state becomes a problem to be solved urgently.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present application is to provide a method for detecting a safety state of a surrounding rock of a roadway, which is used for solving the technical problems of low accuracy and poor reliability of a detection result of the safety state of the surrounding rock of the roadway in the prior art.
In order to achieve the above object, an embodiment of a first aspect of the present application provides a method for detecting a safety state of surrounding rock of a roadway, where the method includes: acquiring a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected; performing wavelet transformation on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected; according to the type of the surrounding rock of the roadway, acquiring a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected; and determining the safety state of the surrounding rock of the roadway to be detected according to the integral value and the safety criterion.
In addition, the method for detecting the safety state of the surrounding rock of the roadway according to the embodiment of the application can further have the following additional technical characteristics:
according to an embodiment of the application, the wavelet decomposition is carried out on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected, and the wavelet decomposition comprises the following steps: performing wavelet transformation on the roadway surrounding rock response signal to obtain the energy distribution condition in the frequency domain of the roadway surrounding rock response signal; and acquiring the type of the surrounding rock of the roadway to be detected according to the energy distribution condition.
According to an embodiment of the application, the acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the energy distribution condition comprises: acquiring a wavelet energy spectrum according to the energy distribution condition; and acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the wavelet energy spectrum.
According to an embodiment of the application, the acquiring, according to the type of the surrounding rock of the roadway, a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected includes: according to the type of the surrounding rock of the roadway, acquiring the safety criterion corresponding to the type of the surrounding rock of the roadway and the time energy density curve of the surrounding rock of the roadway to be detected; and acquiring the integral value of the time energy density curve of the surrounding rock of the roadway to be detected according to the time energy density curve and a time axis.
According to an embodiment of the application, the obtaining of the safety criterion corresponding to the roadway surrounding rock type according to the roadway surrounding rock type includes: according to the type of the surrounding rock of the roadway, obtaining candidate safety criteria corresponding to the type of the surrounding rock of the roadway; inputting the roadway surrounding rock response signal into a trained safety criterion prediction model to obtain a predicted safety criterion; and acquiring the safety criterion according to the candidate safety criterion and the prediction safety criterion.
According to an embodiment of the present application, further comprising: obtaining a sample signal and a sample safety criterion corresponding to the sample signal; and training a safety criterion prediction model to be trained according to the sample signal and the sample safety criterion until a model training end condition is met, and generating the safety criterion prediction model.
According to an embodiment of the present application, further comprising: and generating and sending a safety state alarm prompt aiming at the surrounding rock of the roadway to be detected according to the safety state.
According to the method for detecting the safety state of the surrounding rock of the roadway, the type of the surrounding rock of the roadway and the integral value of the time energy density curve which has strong correlation with the blasting vibration speed peak value and the vibration dominant frequency can be combined to determine the safety state of the surrounding rock of the roadway, and the reliability of the detection result of the safety state of the surrounding rock of the roadway is improved.
In order to achieve the above object, an embodiment of a second aspect of the present application provides a device for detecting a safety state of surrounding rocks in a roadway, where the device includes: the first acquisition module is used for acquiring a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected; the first determining module is used for performing wavelet transformation on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected; the second acquisition module is used for acquiring a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected according to the type of the surrounding rock of the roadway; and the second determining module is used for determining the safety state of the surrounding rock of the roadway to be detected according to the integral value and the safety criterion.
In addition, according to the detection device for the safe state of the surrounding rock of the roadway of the embodiment of the application, the following additional technical features can be provided:
according to an embodiment of the application, the first determining module is further configured to perform wavelet transformation on the roadway surrounding rock response signal to obtain an energy distribution condition in a frequency domain of the roadway surrounding rock response signal; and acquiring the type of the surrounding rock of the roadway to be detected according to the energy distribution condition.
According to an embodiment of the present application, the first determining module is further configured to obtain a wavelet energy spectrum according to the energy distribution; and acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the wavelet energy spectrum.
According to an embodiment of the application, the second obtaining module is further configured to obtain the safety criterion corresponding to the type of the surrounding rock of the roadway and the time energy density curve of the surrounding rock of the roadway to be detected according to the type of the surrounding rock of the roadway; and acquiring the integral value of the time energy density curve of the surrounding rock of the roadway to be detected according to the time energy density curve and a time axis.
According to an embodiment of the application, the second obtaining module is further configured to obtain, according to the type of the surrounding rock of the roadway, a candidate safety criterion corresponding to the type of the surrounding rock of the roadway; inputting the roadway surrounding rock response signal into a trained safety criterion prediction model to obtain a predicted safety criterion; and acquiring the safety criterion according to the candidate safety criterion and the prediction safety criterion.
According to an embodiment of the present application, the second obtaining module is further configured to obtain the sample signal and a sample safety criterion corresponding to the sample signal; and training a safety criterion prediction model to be trained according to the sample signal and the sample safety criterion until a model training end condition is met, and generating the safety criterion prediction model.
According to an embodiment of the present application, further comprising: and the reminding module is used for generating and sending a safety state alarm reminding aiming at the surrounding rock of the roadway to be detected according to the safety state.
The detection device for the roadway surrounding rock safety state provided by the embodiment of the second aspect of the application can be used for determining the safety state of the roadway surrounding rock by combining the type of the roadway surrounding rock and the integral value of the time energy density curve which has stronger correlation with the blasting vibration speed peak value and the vibration dominant frequency as the only basis for detecting the safety state of the roadway surrounding rock, and the reliability of the detection result of the safety state of the roadway surrounding rock is improved.
In order to achieve the above object, an embodiment of a third aspect of the present application provides an electronic device, including: the detection method for the safety state of the surrounding rock of the roadway comprises the steps of storing a detection result, and carrying out detection on the safety state of the surrounding rock of the roadway according to the first aspect of the application.
In order to achieve the above object, a fourth aspect of the present application provides a computer-readable storage medium, where the program is executed by a processor to implement the method for detecting the safety state of the surrounding rock of the roadway according to any one of the embodiments of the first aspect of the present application.
In order to achieve the above object, an embodiment of a fifth aspect of the present application provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for detecting a safety state of surrounding rocks in a roadway is implemented as described above.
Drawings
Fig. 1 is a schematic diagram of a method for detecting a safety state of surrounding rocks of a roadway according to an embodiment of the application.
Fig. 2 is a schematic view of a method for detecting a safety state of surrounding rocks of a roadway according to another embodiment of the present application.
Fig. 3 is a schematic view of a method for detecting a safety state of surrounding rocks of a roadway according to another embodiment of the present application.
Fig. 4 is a schematic view of a method for detecting a safety state of surrounding rocks of a roadway according to another embodiment of the present application.
Fig. 5 is a schematic view of a method for detecting a safety state of surrounding rocks of a roadway according to another embodiment of the present application.
Fig. 6 is a schematic diagram of a signal speed time course and a time energy density curve disclosed in one embodiment of the present application.
FIG. 7 is a graph illustrating the correlation of the shock velocity peak value and the TEDI value according to one embodiment of the present disclosure.
FIG. 8 is a graph illustrating the correlation between the dominant frequency of vibration and the TEDI value according to one embodiment of the present disclosure.
FIG. 9 is a graph illustrating the correlation between TEDI values and duration of vibration in accordance with one embodiment of the present disclosure.
Fig. 10 is a schematic diagram of the TEDI values of the surrounding rock responses of different types of roadways according to one embodiment of the present application.
Fig. 11 is a schematic view of a method for detecting a safety state of surrounding rocks in a roadway according to another embodiment of the present application.
Fig. 12 is a schematic structural diagram of a detection device for a roadway surrounding rock safety state according to an embodiment of the present application.
Fig. 13 is a schematic structural diagram of a detection device for a roadway surrounding rock safety state according to another embodiment of the present application.
Fig. 14 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.
Detailed Description
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It should be noted that, at present, the safety criterion considering the blasting vibration frequency is mostly obtained by performing regression analysis on the basis of the vibration velocity peak value, and is only an extension of an independent threshold theory, the comprehensive blasting vibration effect on a target structure when the vibration velocity peak value, the vibration dominant frequency and the vibration are held is not really considered at the same time, and a quantitative relation between the safety criterion and the damage degree of the surrounding rock of the roadway is not established, so that certain defects and shortcomings exist in the practical engineering application.
Therefore, the method for detecting the safety state of the surrounding rock of the roadway comprises the steps of establishing finite element models of different types of surrounding rocks of the roadway under the action of a blasting load, extracting response signals of the surrounding rocks of the roadway, establishing time-frequency domain characteristics of time-energy density function analysis surrounding rock response signals based on a wavelet transform theory, using an Integral value (Integral of the time-energy density, abbreviated as TEDI) of a time-energy density curve as a judgment index for evaluating the blasting vibration effect, and establishing a quantitative relation between the TEDI value and the damage degree of the surrounding rocks of the roadway.
The following describes a method and a device for detecting a safety state of surrounding rocks of a roadway, and an electronic device according to an embodiment of the application with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a method for detecting a safety state of surrounding rock in a roadway according to an embodiment disclosed in the present application.
As shown in fig. 1, the method for detecting the safety state of the surrounding rock of the roadway provided by the embodiment of the application specifically includes the following steps:
s101, acquiring a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected.
The roadway surrounding rock to be detected can be roadway surrounding rock in any area, and the specific determination mode can be set according to actual conditions.
For example, the roadway may be divided into n sections of 1 to n, and in this case, the roadway surrounding rock corresponding to the nth section may be used as the roadway surrounding rock to be detected.
It should be noted that, in the application, in order to further improve the accuracy of the detection result of the safety state of the surrounding rock of the roadway to be detected, preprocessing operations such as demodulation, denoising, conversion and the like may be performed on the response signal of the surrounding rock of the roadway.
For example, the denoising processing may be performed through the processes of performing wavelet transformation, wavelet inverse transformation, signal reconstruction, and the like on the roadway surrounding rock response signal, so as to obtain a denoised roadway surrounding rock response signal.
And S102, performing wavelet transformation on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected.
In the embodiment of the application, the roadway surrounding rock response signal can be subjected to wavelet transformation to obtain a time energy density function, and the energy distribution condition (frequency band energy ratio) in the frequency domain of the roadway surrounding rock response signal is obtained according to the time energy density function. Furthermore, a wavelet energy spectrum can be obtained according to the energy distribution condition, and the roadway surrounding rock type of the roadway surrounding rock to be detected can be obtained according to the wavelet energy spectrum.
Note that for an arbitrary function f (t) E L2(R), the continuous wavelet transform can be performed by the following formula:
wherein the content of the first and second substances,
denotes f (t) and
inner product (inner product),
is composed of
The conjugate function of (a).
Further, the inverse transform of the continuous wavelet transform may be performed by the following formula:
thus, according to the inner product theorem (Moyal theorem), the equation above can be rewritten by squaring both sides of the equation:
therefore, the integral of the square of the wavelet coefficient has a direct proportion relation with the energy of the analyzed signal.
In this case, the above formula can be rewritten as follows according to the concept of energy density:
since the scale a in wavelet transform has obvious corresponding relation with frequency (ω), the following formula is called as a time energy density function, and describes the distribution of energy in a specific frequency interval of a signal along with time b:
it should be noted that, in practical application, the integral interval of the above formula can fall within the frequency range of the main frequency band of the analysis signal by selecting a as the frequency interval of the main frequency band of the blasting vibration signal, so as to obtain the rule that the energy in the main frequency band changes with time.
In the embodiment of the application, after the time-frequency domain characteristics, namely the energy distribution condition, of the roof response signals are analyzed by using the time-energy density function established based on the wavelet transform theory, the roadway surrounding rock type of the roadway surrounding rock to be detected can be obtained according to the energy distribution condition.
It should be noted that, in the present application, a specific classification manner of the roadway surrounding rock types is not limited, and may be set according to an actual situation. For example, roadway surrounding rocks can be classified into 4 categories, labeled as category i surrounding rocks, category ii surrounding rocks, category iii surrounding rocks, and category iv surrounding rocks, respectively.
S103, according to the type of the surrounding rock of the roadway, obtaining a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected.
It should be noted that the TEDI value has strong correlation with the peak value of the blasting vibration velocity and the vibration dominant frequency, the correlation coefficients are 0.6574 and 0.6237, respectively, and also has a certain correlation with the duration of the blasting vibration, and the correlation coefficient is 0.3531.
Therefore, the blasting vibration is not determined by a single factor, but is determined by a plurality of factors such as the velocity peak value, the dominant frequency, the duration and the like of the blasting vibration, and the blasting damage safety criterion established by the single factor is inaccurate. Therefore, the TEDI value is used as the judgment basis of the roadway surrounding rock safety state in the application.
And S104, determining the safety state of the surrounding rock of the roadway to be detected according to the integral value and a safety criterion.
In the embodiment of the application, various types of safety states of the surrounding rocks of the roadway to be detected can be preset, and the specific setting mode is not limited. For example, 4 safety states of the surrounding rock of the roadway can be set according to related engineering regulations, namely long-term stability, basic stability, temporary stability and no self-stability capability; for example, 3 kinds of safe states of the surrounding rock of the roadway may be set, which are a stable state, a local destruction state, and a total destruction state.
According to the method for detecting the safety state of the surrounding rock of the roadway, the type of the surrounding rock of the roadway and the integral value of the time energy density curve which has strong correlation with the blasting vibration speed peak value and the vibration dominant frequency can be combined to determine the safety state of the surrounding rock of the roadway, and the reliability of the detection result of the safety state of the surrounding rock of the roadway is improved.
It should be noted that in the application, when the wavelet decomposition is attempted to be performed on the surrounding rock response signal of the roadway to obtain the surrounding rock type of the surrounding rock of the roadway to be detected, the surrounding rock type of the roadway can be determined according to the wavelet energy spectrum.
As a possible implementation manner, as shown in fig. 2, the method specifically includes the following steps:
s201, performing wavelet transformation on the roadway surrounding rock response signal to obtain the energy distribution condition in the frequency domain of the roadway surrounding rock response signal.
In the embodiment of the application, the roadway surrounding rock response signals can be subjected to wavelet transformation to obtain a time energy density function. Further, a frequency-band energy ratio (frequency-band energy ratio) can be determined according to the time energy density function, so that the energy distribution situation in the frequency domain of the roadway surrounding rock response signal can be obtained.
S202, acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the energy distribution condition.
As a possible implementation manner, as shown in fig. 3, on the basis of the foregoing embodiment, a specific process of acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the energy distribution condition in the step S202 includes the following steps:
s301, acquiring a wavelet energy spectrum according to the energy distribution condition.
S302, acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the wavelet energy spectrum.
In the embodiment of the application, a wavelet energy spectrum including damage early warning indexes (energy ratio ERV and energy ratio deviation ERVD) can be obtained according to the energy distribution condition. Further, the roadway surrounding rock type of the roadway surrounding rock to be detected can be obtained according to the wavelet energy spectrum.
According to the detection method for the roadway surrounding rock safety state, the roadway surrounding rock response signals can be subjected to wavelet transformation to obtain the energy distribution situation in the frequency domain of the roadway surrounding rock response signals, and then the roadway surrounding rock type of the roadway surrounding rock to be detected is obtained according to the energy distribution situation, so that a foundation can be laid for monitoring the roadway surrounding rock safety states of different roadway surrounding rock types, and the adaptability and the effectiveness in the detection process of the roadway surrounding rock safety state are improved.
It should be noted that, in the present application, when trying to obtain the safety criterion corresponding to the type of the surrounding rock of the roadway and the integral value of the time energy density curve of the surrounding rock of the roadway to be detected according to the type of the surrounding rock of the roadway, as shown in fig. 4, the method specifically includes the following steps:
s401, according to the type of the surrounding rock of the roadway, obtaining safety criteria corresponding to the type of the surrounding rock of the roadway and a time energy density curve of the surrounding rock of the roadway to be detected.
When the safety criterion corresponding to the roadway surrounding rock type is obtained according to the roadway surrounding rock type, the corresponding safety criterion can be obtained based on a pre-trained safety criterion prediction model.
As a possible implementation manner, as shown in fig. 5, on the basis of the foregoing embodiment, a specific process of obtaining a safety criterion corresponding to a type of surrounding rock of a roadway according to the type of the surrounding rock of the roadway in the foregoing step includes the following steps:
s501, obtaining candidate safety criteria corresponding to the roadway surrounding rock type according to the roadway surrounding rock type.
It should be noted that, the safety criterion is a reference value of the integral value, and the safety state of the surrounding rock of the roadway can be determined according to the integral value and the safety criterion. The safety criterion may be a fixed value or a range, which is not limited herein. It is understood that the integral values corresponding to different types of roadway surrounding rock may correspond to different types of safety criteria.
In the embodiment of the present application, various types of security states may be preset, which is not limited herein. For example, taking the safety state of the surrounding rock of the roadway as an example, 4 safety states of the surrounding rock of the roadway can be set by referring to relevant engineering regulations, namely long-term stability, basic stability, temporary stability and no self-stability capability; for example, 3 kinds of safe states of the surrounding rock of the roadway may be set, which are a stable state, a local destruction state, and a total destruction state.
In one embodiment, taking the safety criterion of the surrounding rocks of the roadway as an example, the safety criterion of the surrounding rocks of the roadway includes a first preset range, a second preset range and a third preset range, an upper limit value of the first preset range is smaller than a lower limit value of the second preset range, and an upper limit value of the second preset range is smaller than a lower limit value of the third preset range.
And S502, inputting the roadway surrounding rock response signal into the trained safety criterion prediction model to obtain a predicted safety criterion.
In the embodiment of the application, the predicted safety criterion can be obtained through a trained safety criterion prediction model. It should be noted that the safety criterion prediction model may be set according to actual conditions, for example, the safety criterion prediction model may be a bp (back propagation) neural network model in the neural network model.
S503, obtaining the safety criterion according to the candidate safety criterion and the predicted safety criterion.
In the embodiment of the application, after the candidate security criterion and the predicted security criterion are obtained, the candidate security criterion and the predicted security criterion can be compared. Optionally, in response to an error between the candidate security criterion and the predicted security criterion being within a preset allowable range, taking the candidate security criterion as the security criterion; and in response to the fact that the error between the candidate safety criterion and the predicted safety criterion is not within the preset allowable range, returning to the step of obtaining a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected, obtaining the roadway surrounding rock response signal again, and obtaining the candidate safety criterion again according to the type of the corresponding roadway surrounding rock until the error between the currently obtained candidate safety criterion and the predicted safety criterion is not within the preset allowable range.
S402, acquiring an integral value of the time energy density curve of the surrounding rock of the roadway to be detected according to the time energy density curve and the time axis.
It should be noted that, according to the definition of the time energy density function, in order to make the frequency band range of the wavelet transform correspond to the main frequency band frequency range of the signal, the value of the wavelet transform scale a may be set as a specific interval, so as to obtain the distribution of the energy of the blasting vibration signal in the main frequency band range along with the variation of the blasting vibration duration.
For example, for different signals S202, S304, S405, S506, S606, and S909, if the dominant frequency band of the pop shock signal is 15.62-31.25Hz, since the sampling frequency is set to 1000Hz, the nyquist frequency is 500Hz, the interval of a may be selected as [16,33], so that the corresponding frequency band falls within 15.62-31.25Hz, and the time energy density curve of the pop shock signal as shown in fig. 6 is obtained through Matlab programming calculation.
Under the same surrounding rock type condition, the TEDI value and the blasting vibration effect form positive correlation, the larger the TEDI value is, the larger the blasting vibration effect is, and the higher the possibility of the roadway surrounding rock being damaged is. The lower the wall rock class, the higher the TEDI value, also at the same shot center. Compared with the data point with the minimum burst center distance of the I type surrounding rock, the TEDI values of the II type surrounding rock, the III type surrounding rock and the IV type surrounding rock are increased by 16.17 percent, 61.15 percent and 154.79 percent on average.
Establishing blasting vibration safety criteria of surrounding rocks of different types of roadways according to the TEDI value of the blasting vibration signal: the TEDI value of the type I surrounding rock is less than 15, the roadway surrounding rock is safe and is more than 15 and less than 25, the crack development of the roadway surrounding rock is locally broken and is more than 25, and the roadway surrounding rock is wholly damaged; the TEDI of the type II surrounding rock is less than 10, the tunnel surrounding rock is safe and is more than 10 and less than 20, the crack development of the tunnel surrounding rock is locally broken and is more than 20, and the tunnel surrounding rock is wholly damaged; the TEDI value of the type III surrounding rock is less than 10, the roadway surrounding rock is safe, the TEDI value is more than 10 and less than 15, the fracture development of the roadway surrounding rock is locally broken, the TEDI value is more than 15, and the roadway surrounding rock is wholly damaged; the TEDI value of the IV-type surrounding rock is less than 5, the roadway surrounding rock is safe and is more than 5 and less than 10, the crack development of the roadway surrounding rock is locally broken and is more than 10, and the roadway surrounding rock is wholly damaged.
Fig. 6 lists the time courses of the blasting vibration speed of the above 6 signals and the corresponding time energy density curves, where the amplitude of the blasting vibration signal can represent the intensity of the vibration signal, and can also represent the energy of the vibration signal, it can be seen that the time energy density curve can better reflect the peaks and troughs of the vibration signal, and as the intensity of the signal is larger, the energy of the signal is larger, and the peak value of the corresponding time energy density curve is higher. Meanwhile, the time energy density curve shown in fig. 6 reflects the energy distribution condition of the vibration signal along with the time change in the range of the dominant frequency band 15.62-31.25Hz, and comprehensively considers three elements of the blasting vibration, and the specific speed time course curve contains more blasting vibration response information.
Furthermore, the corresponding characteristics of the time energy density curve and the speed time course of the blasting vibration signal can find that the blasting vibration effect of the surrounding rock of the roadway can be effectively evaluated by taking the integral value TEDI of the time energy density curve as the safety judgment index of the surrounding rock of the blasting vibration damage degree.
According to the following formula obtained after the deformation, the time energy density curve e (b) represents the distribution of signal energy with time in a certain frequency range, and therefore, the magnitude of the integral value of the time energy density curve reflects the degree of influence (damage) of the main frequency band component of the blasting vibration on the surrounding rock vibration of the roadway. Therefore, a quantitative corresponding relation between the integral value of the time energy density curve and the surrounding rock damage degree of the surrounding rock roadway under the blasting vibration effect can be established, and the influence of blasting vibration on the surrounding rock of the roadway can be evaluated. The TEDI value of each signal is calculated according to the following formula, and the correlation between the peak value of the shock velocity, the dominant frequency, the duration of the shock and the TEDI value of the blasting shock signal is further analyzed, as shown in FIGS. 7 to 9.
Furthermore, as the TEDI value has obvious correlation with the shock velocity peak value and the shock dominant frequency of the blasting shock signal, and meanwhile, the blasting shock velocity peak value and the frequency domain characteristics are influenced by the type of the surrounding rock of the roadway, the TEDI values of the blasting shock signals of the surrounding rocks of the roadway of different types have obvious difference.
As shown in fig. 10, the TEDI values of the different categories of surrounding rock blast shock response signals increase as the distance between the centers of the blasts decreases. Generally, the smaller the distance between centers of explosion is, the larger the blasting vibration effect is, the more dangerous the surrounding rock of the roadway is, so that under the condition of the same surrounding rock category, the TEDI value and the blasting vibration effect have positive correlation, and the larger the TEDI value is, the larger the blasting vibration effect is, the higher the possibility of the surrounding rock of the roadway is damaged is. Similarly, it can be seen that under the same knock condition, the lower the class of the surrounding rocks, the larger the TEDI value, taking data point 7 as an example, the TEDI values of the first-class surrounding rocks (working conditions 1, 2 and 3) are 18.521, 18.963 and 24.120 respectively, the TEDI values of the second-class surrounding rocks (working conditions 4, 5 and 6) are 21.563, 24.530 and 25.470 respectively, the TEDI values of the third-class surrounding rocks (working conditions 7, 8 and 9) are 36.258, 31.004 and 32.017 respectively, and the TEDI values of the fourth-class surrounding rocks (working conditions 10, 11 and 12) are 51.247, 50.235 and 55.481 respectively. Compared with the class I surrounding rock, the TEDI values of the class II, III and IV surrounding rocks are increased by 16.17 percent, 61.15 percent and 154.79 percent on average.
On the other hand, although the TEDI values of the blasting vibration signals under different surrounding rock types are different under the same shot center distance condition, if the condition limit of the shot center distance is ignored, the blasting vibration signals under different surrounding rock types inevitably have the same TEDI value, and whether the same TEDI value corresponds to the damage state of the surrounding rock of the same roadway or not determines whether the surrounding rock type condition needs to be considered or not by taking the TEDI value as the blasting vibration effect safety criterion.
In order to research the corresponding relation between the TEDI values of the blasting vibration signals of the roadway surrounding rocks of different types and the states of the roadway surrounding rocks after the earthquake, extracting the state diagram of the roadway surrounding rocks at the moment of 0.5s (it can be found that under the same blasting load strength, the damage states of the roadway surrounding rocks of different types after the blasting vibration is finished are different due to the fact that the physical and mechanical properties such as elastic modulus, density and cohesion are greatly different.
In summary, it can be found through the above corresponding relationship between the damage state and the TEDI value of the roadway of the four types of surrounding rocks after the blasting vibration is completed that the TEDI values corresponding to different types of surrounding rocks under the same damage state are different, that is, different roadway surrounding rock safety discrimination standards should be formulated for different types of surrounding rocks.
According to the detection method for the safety state of the surrounding rocks of the roadway, provided by the embodiment of the first aspect of the application, three factors of blasting vibration are comprehensively considered on the basis of a time energy density curve capable of better reflecting the energy of a vibration signal, and the specific speed time-course curve contains more response information of the surrounding rocks of the roadway; meanwhile, the TEDI value has strong correlation with the peak value of the blasting vibration speed and the vibration dominant frequency and also has certain correlation with the blasting vibration duration, so that the technical problem of inaccurate detection result caused by the blasting damage safety criterion established only depending on a single factor is solved. Furthermore, each threshold value of the blasting vibration safety criterion based on the TEDI value is not influenced by surrounding rock pressure, and the surrounding rock pressure factor does not need to be directly considered when the blasting vibration effect is judged by using the safety criterion, so that the adaptability and the effectiveness in the detection process of the roadway surrounding rock safety state are further improved.
It should be noted that, in order to further ensure the accuracy of the detection result of the roadway surrounding rock safety state, a predicted safety criterion may be obtained as a criterion for determining the accuracy of a candidate safety criterion.
The following explains the training process of the safety criterion prediction model by taking the BP neural network model as the safety criterion prediction model as an example.
As a possible implementation manner, as shown in fig. 11, on the basis of the foregoing embodiment, the method specifically includes the following steps:
s1101, obtaining a sample signal and a sample safety criterion corresponding to the sample signal.
The number of the sample signals and the number of the sample safety criteria can be set according to actual conditions, and is not limited in the application. For example, 10000 sample signals and 10000 sample safety criteria may be obtained.
S1102, training the safety criterion prediction model to be trained according to the sample signal and the sample safety criterion until the model training end condition is met, and generating the safety criterion prediction model.
The model training end condition may be set according to an actual situation, and is not limited herein, for example, but not limited to, the training frequency reaches a preset frequency threshold, and the training error is smaller than a preset error threshold.
For example, a sample signal can be input into a safety criterion prediction model to be trained, the safety criterion prediction model to be trained outputs a sample prediction safety criterion, gradient information of a loss function is obtained according to the sample prediction safety criterion and the sample safety criterion, model parameters of the safety criterion prediction model are updated according to the gradient information until a model training end condition is reached, and the trained safety criterion prediction model is generated.
Further, after the safety criterion is obtained, the safety state of the surrounding rock of the roadway to be detected can be determined according to the integral value and the safety criterion.
Optionally, if the identification integral value is within a first preset range, determining that the safety state of the surrounding rock of the roadway is a stable state; optionally, if the identification integral value is in a second preset range, determining that the safety state of the surrounding rock of the roadway is a local damage state; alternatively, if the identification integral value is in a third preset range, the safety state of the surrounding rock of the roadway can be determined to be a whole damage state.
For example, the first predetermined range is less than 10, the second predetermined range is greater than or equal to 10 and less than 20, and the third predetermined range is greater than or equal to 20. In this case, if the integral value is 5, it can be determined that the safe state of the surrounding rock of the roadway is a stable state; if the integral value is 15, the safety state of the surrounding rock of the roadway can be determined to be a local destruction state; if the integral value is 25, the safe state of the surrounding rock of the roadway can be determined to be the overall destruction state.
According to the method for detecting the safety state of the surrounding rocks of the roadway, provided by the embodiment of the first aspect of the application, the TEDI value and the damage state of the surrounding rocks of the roadway after blasting vibration can be effectively predicted according to the basic conditions (the blasting vibration speed peak value, the vibration dominant frequency, the vibration duration, the category of the surrounding rocks of the roadway and the like) of blasting vibration by using the BP neural network technology, the surrounding rocks of the roadway in uncertain safety state in engineering can be predicted, and the adaptability and effectiveness in the detection process of the safety state of the surrounding rocks of the roadway are further improved.
It should be noted that, in the present application, after the security state is obtained, the corresponding reminder may be sent according to the security state.
As a possible implementation manner, a safety state alarm prompt for the surrounding rock of the roadway to be detected can be generated and sent according to the safety state. Wherein the safety state alert prompt is used to prompt the user of the safety state for the roadway surrounding rock. It will be appreciated that different security states may correspond to different reminders. It should be noted that the type of the reminder is not limited too much, and the reminder includes, but is not limited to, a light reminder, a voice reminder, a text reminder, and the like.
For example, when the safety state of the surrounding rock of the roadway is a stable state, the reminding only comprises light reminding, and the color of the light reminding is green; when the safety state of the surrounding rock of the roadway is a local damage state, the reminding comprises light reminding and voice reminding, wherein the color of the light reminding is yellow, and the voice reminding is short and intermittent voice reminding; when the safe state of tunnel country rock was the whole destruction state, remind including light warning and pronunciation warning, the colour that light was reminded is red, and pronunciation are reminded for sharp-pointed uninterrupted pronunciation and are reminded.
According to the detection method for the safety state of the surrounding rock of the roadway, the alarm reminding for the safety state of the surrounding rock of the roadway to be detected can be generated and sent according to the safety state, so that the safety state of the surrounding rock of the roadway is informed to a user in time, the safety of operation under the surrounding rock of the roadway is improved, and the personal safety of the user is guaranteed.
Fig. 12 is a schematic structural diagram of a detection device for a roadway surrounding rock safety state according to an embodiment disclosed in the present application.
As shown in fig. 12, the device 1000 for detecting the safety state of the surrounding rock in the roadway includes: a first obtaining module 110, a first determining module 120, a second obtaining module 130, and a second determining module 140. Wherein the content of the first and second substances,
the first obtaining module 110 is configured to obtain a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected;
the first determining module 120 is configured to perform wavelet transformation on the roadway surrounding rock response signal to obtain a roadway surrounding rock type of the roadway surrounding rock to be detected;
a second obtaining module 130, configured to obtain, according to the type of the surrounding rock of the roadway, a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected;
and a second determining module 140, configured to determine a safety state of the surrounding rock of the roadway to be detected according to the integral value and the safety criterion.
According to an embodiment of the present application, the first determining module 120 is further configured to perform wavelet transform on the roadway surrounding rock response signal to obtain an energy distribution condition in a frequency domain of the roadway surrounding rock response signal; and acquiring the type of the surrounding rock of the roadway to be detected according to the energy distribution condition.
According to an embodiment of the present application, the first determining module 120 is further configured to obtain a wavelet energy spectrum according to the energy distribution; and acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the wavelet energy spectrum.
According to an embodiment of the application, the second obtaining module 130 is further configured to obtain, according to the type of the surrounding rock of the roadway, the safety criterion corresponding to the type of the surrounding rock of the roadway and the time energy density curve of the surrounding rock of the roadway to be detected; and acquiring the integral value of the time energy density curve of the surrounding rock of the roadway to be detected according to the time energy density curve and a time axis.
According to an embodiment of the present application, the second obtaining module 130 is further configured to obtain, according to the type of the surrounding rock of the roadway, a candidate safety criterion corresponding to the type of the surrounding rock of the roadway; inputting the roadway surrounding rock response signal into a trained safety criterion prediction model to obtain a predicted safety criterion; and acquiring the safety criterion according to the candidate safety criterion and the prediction safety criterion.
According to an embodiment of the present application, the second obtaining module 130 is further configured to obtain the sample signal and a sample safety criterion corresponding to the sample signal; and training a safety criterion prediction model to be trained according to the sample signal and the sample safety criterion until a model training end condition is met, and generating the safety criterion prediction model.
According to an embodiment of the present application, as shown in fig. 13, the device 1000 for detecting the safety state of the surrounding rock in the roadway further includes: and the reminding module 150 is used for generating and sending a safety state alarm reminding aiming at the roadway surrounding rock to be detected according to the safety state.
According to the detection device for the safety state of the surrounding rock of the roadway, the detection device can be used for determining the safety state of the surrounding rock of the roadway by combining the type of the surrounding rock of the roadway and the integral value of the time energy density curve which has strong correlation with the peak value of the blasting vibration speed and the vibration dominant frequency without depending on the peak value of the vibration speed as the only basis for detecting the safety state of the surrounding rock of the roadway, and the reliability of the detection result of the safety state of the surrounding rock of the roadway is improved.
In order to implement the foregoing embodiments, the present application further proposes an electronic device 2000, as shown in fig. 14, which includes a memory 210, a processor 220, and a computer program stored in the memory 210 and executable on the processor 220, and when the processor executes the computer program, the travel planning method for the mobile device is implemented.
In order to implement the above embodiments, the present application also proposes a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the aforementioned travel planning method for a mobile device.
In order to implement the foregoing embodiments, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for detecting the safety state of the surrounding rock of the roadway as described above is implemented.
In the description of the present application, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In this application, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A detection method for a roadway surrounding rock safety state is characterized by comprising the following steps:
acquiring a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected;
performing wavelet transformation on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected;
according to the type of the surrounding rock of the roadway, acquiring a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected;
and determining the safety state of the surrounding rock of the roadway to be detected according to the integral value and the safety criterion.
2. The method for detecting the safety state of the surrounding rocks of the roadway according to claim 1, wherein the step of performing wavelet decomposition on the response signal of the surrounding rocks of the roadway to obtain the type of the surrounding rocks of the roadway to be detected comprises the following steps:
performing wavelet transformation on the roadway surrounding rock response signal to obtain the energy distribution condition in the frequency domain of the roadway surrounding rock response signal;
and acquiring the type of the surrounding rock of the roadway to be detected according to the energy distribution condition.
3. The method for detecting the safety state of the surrounding rocks of the roadway according to claim 2, wherein the step of obtaining the type of the surrounding rocks of the roadway to be detected according to the energy distribution condition comprises the following steps:
acquiring a wavelet energy spectrum according to the energy distribution condition;
and acquiring the roadway surrounding rock type of the roadway surrounding rock to be detected according to the wavelet energy spectrum.
4. The method for detecting the safety state of the surrounding rocks in the roadway according to claim 1, wherein the step of obtaining the safety criterion corresponding to the type of the surrounding rocks in the roadway and the integral value of the time energy density curve of the surrounding rocks to be detected according to the type of the surrounding rocks in the roadway comprises the following steps:
according to the type of the surrounding rock of the roadway, acquiring the safety criterion corresponding to the type of the surrounding rock of the roadway and the time energy density curve of the surrounding rock of the roadway to be detected;
and acquiring the integral value of the time energy density curve of the surrounding rock of the roadway to be detected according to the time energy density curve and a time axis.
5. The method for detecting the safety state of the surrounding rocks in the roadway according to claim 1, wherein the obtaining the safety criterion corresponding to the type of the surrounding rocks in the roadway according to the type of the surrounding rocks in the roadway comprises:
according to the type of the surrounding rock of the roadway, obtaining candidate safety criteria corresponding to the type of the surrounding rock of the roadway;
inputting the roadway surrounding rock response signal into a trained safety criterion prediction model to obtain a predicted safety criterion;
and acquiring the safety criterion according to the candidate safety criterion and the prediction safety criterion.
6. The method for detecting the safety state of the surrounding rocks of the roadway according to claim 5, characterized by further comprising:
obtaining a sample signal and a sample safety criterion corresponding to the sample signal;
and training a safety criterion prediction model to be trained according to the sample signal and the sample safety criterion until a model training end condition is met, and generating the safety criterion prediction model.
7. The method for detecting the safety state of the surrounding rocks of the roadway according to claim 1, characterized by further comprising:
and generating and sending a safety state alarm prompt aiming at the surrounding rock of the roadway to be detected according to the safety state.
8. The utility model provides a detection apparatus for tunnel country rock safe state which characterized in that includes:
the first acquisition module is used for acquiring a roadway surrounding rock response signal corresponding to the roadway surrounding rock to be detected;
the first determining module is used for performing wavelet transformation on the roadway surrounding rock response signal to obtain the roadway surrounding rock type of the roadway surrounding rock to be detected;
the second acquisition module is used for acquiring a safety criterion corresponding to the type of the surrounding rock of the roadway and an integral value of a time energy density curve of the surrounding rock of the roadway to be detected according to the type of the surrounding rock of the roadway;
and the second determining module is used for determining the safety state of the surrounding rock of the roadway to be detected according to the integral value and the safety criterion.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and operable on the processor, the processor implementing the method of detecting a surrounding rock safety state of a roadway as claimed in any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the method of detecting a safety status of a roadway surrounding rock according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117541997A (en) * | 2024-01-10 | 2024-02-09 | 泰安万川电器设备有限公司 | Roadway safety early warning method and system based on image features |
| CN117541997B (en) * | 2024-01-10 | 2024-03-12 | 泰安万川电器设备有限公司 | Roadway safety early warning method and system based on image features |
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