CN115342760B - Landslide early warning method, system, terminal and storage medium for dumping site - Google Patents
Landslide early warning method, system, terminal and storage medium for dumping site Download PDFInfo
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Abstract
The invention discloses a landslide early warning method, a system, a terminal and a storage medium for a dumping site, which comprise the following steps: collecting a bending guided wave signal between a waveguide tube and a side slope to obtain waveguide signal data; respectively drawing an event curve, a ringing curve and an energy rate curve according to waveguide signal data; detecting curve characteristics of an event curve, a ringing curve and an energy rate curve; if the curve characteristic detection of the event curve, the ringing curve and the energy rate curve are all qualified, determining a landslide early warning value according to the curved guided wave event, and drawing a landslide early warning curve according to the landslide early warning value; if the landslide early warning curve meets landslide conditions, judging that landslide risks exist on the side slope, and sending landslide early warning prompts aiming at the dumping site. According to the invention, the landslide analysis can be automatically carried out on the side slope by analyzing the bending guided wave signal between the waveguide tube and the side slope, and the state of the side slope in the dumping site is monitored without using monitoring equipment manually, so that the labor cost and the equipment cost are reduced, and the use cost of the landslide early warning of the dumping site is reduced.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a landslide early warning method, a system, a terminal and a storage medium for a dumping site.
Background
Along with the rapid development of Chinese economy, the excavation of side slopes in a dumping site is involved in engineering construction of mines, highways, railways, water conservancy and hydropower and the like, and the problem of instability of the side slopes of different types and scales is often faced. Slope landslide becomes one of the most frequent geological disasters, seriously threatens the life and property safety of people and influences the safety construction and operation of engineering, so that the landslide early warning problem of the dumping site is more and more important for people.
In the existing landslide early warning process of the dumping site, monitoring equipment such as a theodolite, a level gauge and a total station are generally used for monitoring the state of a side slope in the dumping site manually, and the landslide early warning of the dumping site is sent out based on a side slope monitoring result, but because the monitoring equipment such as the theodolite, the level gauge and the total station are high in price, and the monitoring equipment needs to be used for monitoring in a manual mode, the use cost of the landslide early warning of the dumping site is high.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a landslide early warning method, a system, a terminal and a storage medium for a dumping site, which concretely adopts the following technical scheme:
A method for early warning landslide of a dump, the method comprising:
placing a waveguide tube in a side slope of a soil discharge field, and collecting a bending guided wave signal between the waveguide tube and the side slope to obtain waveguide signal data;
determining event rate, ringing count rate and energy rate between the waveguide tube and the side slope according to the waveguide signal data, and respectively drawing an event curve, a ringing curve and an energy rate curve according to the event rate, the ringing count rate and the energy rate;
performing curve characteristic detection on the event curve, the ringing curve and the energy rate curve, wherein the curve characteristic detection is used for detecting consistency of curve characteristics among the event curve, the ringing curve and the energy rate curve;
if the curve characteristic detection of the event curve, the ringing curve and the energy rate curve are all qualified, determining a landslide early warning value according to a curved guided wave event in the waveguide signal data, and drawing a landslide early warning curve according to the landslide early warning value;
if the landslide early warning curve meets landslide conditions, judging that the side slope has landslide risk, and sending landslide early warning prompt to the soil discharge field.
Preferably, the detecting the curve characteristic of the event curve, the ringing curve and the energy rate curve includes:
respectively obtaining the maximum amplitude values in the event curve, the ringing curve and the energy rate curve to obtain an event rate amplitude value, a ringing counting amplitude value and an energy rate amplitude value;
if the event rate amplitude, the ringing count amplitude and the energy rate amplitude are all larger than the corresponding amplitude threshold values, obtaining a difference value between adjacent event rates in the event curve to obtain an event rate difference value;
if the event rate difference value is larger than a first difference value threshold value, carrying out feature marking on the adjacent event rates, and generating an event feature area in the event curve according to the event rates subjected to feature marking;
obtaining a difference value between adjacent ringing count rates in the ringing curve to obtain a ringing count difference value;
if the ringing count difference is greater than a second difference threshold, performing feature marking on the adjacent ringing count rates, and generating a ringing feature area in the ringing curve according to the feature-marked ringing count rates;
acquiring a difference value between adjacent energy rates in the energy rate curve to obtain an energy rate difference value;
If the energy difference value is larger than a third difference value threshold value, performing feature marking on the adjacent energy rates, and generating an energy rate feature area in the energy rate curve according to the energy rates subjected to feature marking;
comparing the event characteristic region, the ringing characteristic region and the energy characteristic region in time;
if the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched, judging that the curve characteristics of the event curve, the ringing curve and the energy curve are qualified;
and if the time comparison of the event characteristic region, the ringing characteristic region and the energy characteristic region is not qualified, judging that the curve characteristic detection of the event curve, the ringing curve and the energy curve is not qualified.
The method comprises the steps of obtaining the maximum amplitude value in an event curve, a ringing curve and an energy curve respectively, obtaining the event rate amplitude value, the ringing count amplitude value and the energy rate amplitude value, judging whether the event curve, the ringing curve and the energy rate curve meet the curve characteristic when landslide occurs or not based on the amplitude value of the event rate amplitude value, the ringing count amplitude value and the amplitude value of the energy rate amplitude value, obtaining the event rate difference value by obtaining the difference value between adjacent event rates in the event curve, judging based on the amplitude value of the event rate difference value and a first difference value threshold, automatically generating an event characteristic region, automatically generating a ringing characteristic region based on the amplitude value of the ringing count difference value and a second difference value threshold, automatically generating an energy rate characteristic region based on the amplitude value of the energy rate difference value and a third difference value threshold, and automatically judging whether the event characteristic region, the ringing characteristic region and the energy rate characteristic region are qualified or not by comparing the event characteristic region, the ringing characteristic region and the energy rate characteristic region in time;
Preferably, the time comparing the event feature area, the ringing feature area and the energy rate feature area includes:
respectively acquiring the starting time and the ending time of the event characteristic region, the ringing characteristic region and the energy characteristic region to obtain a first time range, a second time range and a third time range;
respectively calculating the time length difference values among the first time range, the second time range and the third time range;
and if the difference value of each duration is smaller than the duration threshold value, judging that the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched.
The time comparison of the event characteristic region, the ringing characteristic region and the energy characteristic region can be effectively judged whether to be qualified or not by respectively calculating the time length difference values among the first time range, the second time range and the third time range and comparing each time length difference value with a time length threshold value; preferably, the determining a landslide early warning value according to the curved guided wave event in the waveguide signal data includes:
respectively acquiring the bending guided wave amplitude of each bending guided wave event in the waveguide signal data, and calculating the landslide early warning value according to the bending guided wave amplitude;
The formula adopted for calculating the landslide early warning value according to the bending guided wave amplitude comprises the following steps:
lg[N(A/20)]＝a-b×(A/20)
wherein A is the bending guided wave amplitude, N (A/20) is the accumulated frequency of bending guided wave events with the bending guided wave amplitude being greater than A/20, a is an empirical constant, and b is the landslide early warning value.
The method comprises the steps of respectively acquiring the bending guided wave amplitude of each bending guided wave event in the waveguide signal data, and effectively calculating a landslide early warning value based on the bending guided wave amplitude, so that the accuracy of the landslide early warning value is improved;
preferably, the placing the waveguide in a side slope of a dumping site includes:
acquiring historical landslide information of the dumping site, and determining the side slope according to the historical landslide information;
obtaining geological information and position information of the side slope, and determining hole spacing and the number of waveguides according to the geological information;
and arranging drilling holes in the side slope according to the hole spacing, and inserting each waveguide tube into the corresponding drilling hole.
The method comprises the steps of acquiring historical landslide information, automatically determining the slope based on the historical landslide information, acquiring geological information and position information of the slope, automatically determining hole spacing and the number of waveguides based on the geological information, and improving the accuracy of waveguide placement;
Preferably, after each waveguide is inserted into the corresponding borehole, the method further comprises:
an acoustic wave sensor is arranged on each waveguide tube, and the acoustic wave sensor is connected with an amplifier;
and setting the gain of the amplifier, connecting the amplifier with the gain set with a filter, and setting the frequency of the filter.
Preferably, the diameter of the waveguide tube is 30mm, the wall thickness is 2mm, and the length of the waveguide tube is L Rod ＝L Hole(s) +0.3m，L Hole(s) For the pitch of the bore holes for the waveguide, the density of the waveguide was 7850kg/m 3 The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.03Np/wl, and the transverse wave attenuation coefficient is 0.08Np/wl.
The quality of acoustic emission signals on the waveguide tube is improved through the arrangement of the diameter, the length, the density, the elastic modulus, the Poisson ratio, the longitudinal wave attenuation coefficient and the transverse wave attenuation coefficient of the waveguide tube; another object of an embodiment of the present invention is to provide a landslide early warning system for a dump, the system including:
the signal acquisition unit is used for placing the waveguide tube in a side slope of the dumping site and acquiring a bending guided wave signal between the waveguide tube and the side slope to obtain waveguide signal data;
The curve drawing unit is used for determining the event rate, the ringing count rate and the energy rate between the waveguide tube and the side slope according to the waveguide signal data, and drawing an event curve, a ringing curve and an energy rate curve according to the event rate, the ringing count rate and the energy rate respectively;
the characteristic detection unit is used for detecting the curve characteristics of the event curve, the ringing curve and the energy rate curve, and the curve characteristic detection is used for detecting the consistency of the curve characteristics among the event curve, the ringing curve and the energy rate curve;
the early warning value determining unit is used for determining a landslide early warning value according to a bending guided wave event in the waveguide signal data and drawing a landslide early warning curve according to the landslide early warning value if the curve characteristic detection of the event curve, the ringing curve and the energy rate curve is qualified;
and the landslide early warning unit is used for judging that the side slope has landslide risk if the landslide early warning curve meets landslide conditions, and sending landslide early warning prompt to the dumping site.
The beneficial effects of the invention are as follows: the method can effectively collect the bending guided wave signals between the waveguide tube and the side slope to obtain waveguide signal data, can effectively draw an event curve, a ringing curve and an energy curve based on the waveguide signal data, can automatically detect the consistency of curve characteristics among the event curve, the ringing curve and the energy curve by detecting the curve characteristics of the event curve, the ringing curve and the energy curve, can automatically determine and draw a landslide early warning curve through the bending guided wave event in the waveguide signal data, can effectively detect whether the side slope has landslide risk by analyzing the landslide early warning curve, improves the accuracy of landslide early warning sent by the side slope. It is a further object of an embodiment of the present invention to provide a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, which processor implements the steps of the method as described above when executing the computer program.
It is a further object of embodiments of the present invention to provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above method.
The beneficial effects of the invention are as follows: the method can effectively collect the bending guided wave signals between the waveguide tube and the side slope to obtain waveguide signal data, can effectively draw an event curve, a ringing curve and an energy curve based on the waveguide signal data, can automatically detect the consistency of curve characteristics among the event curve, the ringing curve and the energy curve by detecting the curve characteristics of the event curve, the ringing curve and the energy curve, can automatically determine and draw a landslide early warning curve through the bending guided wave event in the waveguide signal data, can effectively detect whether the side slope has landslide risk by analyzing the landslide early warning curve, improves the accuracy of landslide early warning sent by the side slope.
Drawings
FIG. 1 is a schematic view of the installation position between a waveguide tube and a side slope provided by the invention;
FIG. 2 is a flow chart of a landslide warning method for a dump provided by a first embodiment of the invention;
FIG. 3 is a schematic view of a free hollow cylinder structure provided in a first embodiment of the present invention in cylindrical coordinates;
fig. 4 is a schematic diagram showing a change of a ringing count rate with time in a destabilizing process of a dump according to a first embodiment of the present invention;
FIG. 5 is a schematic diagram showing the event rate and the energy rate over time during a destabilizing process of a dump according to the first embodiment of the present invention;
FIG. 6 is a diagram showing the accumulated event number, accumulated ringing count and accumulated energy over time during the destabilization of the dump according to the first embodiment of the present invention;
FIG. 7 is a schematic diagram showing the time-dependent change of event rate and landslide warning value in the course of destabilizing the dump according to the first embodiment of the present invention;
FIG. 8 is a flowchart of a landslide warning method for a dump according to a second embodiment of the present invention;
fig. 9 is a schematic structural diagram of a landslide warning system for a dump according to a third embodiment of the present invention;
fig. 10 is a schematic structural diagram of a terminal device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
Referring to fig. 1, a waveguide is disposed in a side slope of a dump, an acoustic sensor is disposed on the waveguide, when the side slope of the dump is deformed in a sliding manner, the waveguide interacts with waste stones in the dump, generated acoustic emission signals propagate along the waveguide in the form of guided waves, the characteristics of reduced attenuation and long propagation distance of the guided waves are met, the stability of the side slope of the dump is monitored by using a guided wave technology, and early warning is performed on the landslide of the dump by using the influence law of the landslide of the dump on the parameter characteristics (such as event rate, ringing count rate, energy rate and the like) of the curved guided waves.
Example 1
Referring to fig. 2, a flowchart of a landslide early warning method for a dump according to a first embodiment of the present invention may be applied to any terminal device or system, and the landslide early warning method for a dump includes the steps of:
S10, placing a waveguide tube in a side slope of a soil discharge field, and collecting a bending guided wave signal between the waveguide tube and the side slope to obtain waveguide signal data;
the waveguide tube is placed in a side slope of the dumping site, waveguide signal data between the waveguide tube and the side slope can be effectively collected, a data base is effectively provided for the dumping site landslide early warning based on the waveguide signal data, and optionally, in the step, the waveguide tube is placed in the side slope of the dumping site, and the method comprises the following steps:
acquiring historical landslide information of the dumping site, and determining the side slope according to the historical landslide information; inquiring the latest landslide event in the dumping site based on the historical landslide information, and acquiring the information of the slope in the inquired landslide event;
obtaining geological information and position information of the side slope, and determining hole spacing and the number of waveguides according to the geological information; in this step, the hole pitch is obtained by matching the obtained geological information with a pre-stored pitch lookup table, the pitch lookup table stores correspondence between different geological information and corresponding hole pitches, the length of the side slope bottom edge is obtained, and the number N of waveguides is determined according to the length of the side slope bottom edge and the hole pitch;
Drilling holes in the side slope according to the hole spacing, and inserting each waveguide tube into the corresponding drilling hole; the direction of drilling holes on the side slope is vertically downward, and the diameter of the drilling holes is the diameter of the waveguide tube.
Further, in this step, after each waveguide is inserted into the corresponding borehole, the method further includes:
an acoustic wave sensor is arranged on each waveguide tube, and the acoustic wave sensor is connected with an amplifier;
setting the gain of the amplifier, connecting the amplifier with the gain setting with a filter, and setting the frequency of the filter;
the wave guide is exposed out of 0.3m on the earth surface, an acoustic wave sensor is arranged on the side face of the wave guide, a pre-amplifier is connected, the gain of the amplifier is set to 40dB, the signal to noise ratio is improved, a filter is connected, the frequency is limited within the range of 10-40 kHz, background noise caused by the environment is eliminated, the signal threshold value is set to 33dB, and the wave guide monitoring electronic elements (such as the amplifier, the filter, a central processing unit and the like) are covered by a protective cover.
Further, in this embodiment, the filter is connected to the data acquisition and processing system, the data of each monitoring point is stored in a classified manner, the data acquisition and processing system is powered by the solar battery, and a signal acquisition base station is established near the slope, so as to avoid the problem that the solar battery is not powered enough after a period of operation and the storage capacity of the data acquisition and processing system is limited, reduce the monitoring cost of the user, only record and store the feature parameter of the ring count of the guided wave, and the ring count is the number of times that the amplitude of the guided wave signal crosses the preset threshold voltage in a period of time.
Specifically, in this embodiment, the monitoring and collection of the guided wave signal are continuous, and the data collected by the signal base station is remotely accessed and downloaded by installing the wireless signal transmission unit. Under normal working conditions, a worker remotely accesses the sensor every day, downloads the acquired information data, sorts and gathers the information data, checks the information data on site every other week, monitors the acquired data every three hours under the condition of damage, rainfall or external operation interference; data were monitored every one hour during extreme weather or strong external operating disturbances.
Preferably, the embodiment further optimizes the pipe diameter of the waveguide, establishes an air-pipe-air three-dimensional model under the cylindrical coordinates based on the elastic dynamics theory, and establishes a dispersion equation of the curved guided wave in the waveguide by using a global matrix method according to the continuous conditions of displacement and stress on the assumption that the excited guided wave propagates in the guided wave in a simple harmonic form, wherein the derivation steps are as follows:
in order to establish a dispersion equation of guided waves in a free hollow cylinder structure, a certain assumption is firstly made so as to solve the dispersion equation, and the basic assumption is as follows:
(a) The hollow cylinder structure is axisymmetric and has infinite size along the axial direction;
(b) The hollow cylinder structure is a uniform and isotropic elastic medium;
(c) The air medium surrounding the hollow cylinder structure is considered as vacuum;
(d) The guided wave propagating in the hollow cylinder structure is a continuous energy signal;
please refer to fig. 3, which is a schematic diagram of a free hollow cylinder structure under the cylindrical coordinates, r in fig. 3 1 Is the inner radius of a free hollow cylinder structure, r 2 Is the outer radius of the free hollow cylinder structure and assumes that the guided wave propagates along the z-axis.
In the cylindrical coordinate system of the free hollow cylinder structure, the fluctuation equation in the medium can be expressed as:
wherein: delta is the expression of the volumetric strain in the cylindrical coordinate system:
ω r ，ω θ and omega θ For three orthogonal rotation amounts, the displacement gradient expressions are:
helmholtz (Helmholtz) decomposition with displacement:
and a vector algorithm in the cylindrical coordinate system, the displacement expressions of the three directions of r, theta and z in the cylindrical coordinate system can be obtained as follows:
wherein psi is r ，ψ θ ，ψ z Is the component of the vector potential psi in the three directions of r, theta and z.
The scalar potential phi and the vector phi respectively satisfy:
at the same time, the three components of the vector potential ψ satisfy the following equations respectively:
wherein:
is Laplace operator under the cylindrical coordinate system, which is defined as:
The stress-strain relationship under the cylindrical coordinate system is as follows:
the bending guided wave is related to the circumferential angle θ, and Zhou Xiangjie, when taken as 1, can represent most cases, and the displacement field can be expressed as follows from the derivation of Gazis:
wherein: k is the wave number and ω is the wave circumference ratio.
f＝AZ 1 (α 1 r)+BW 1 (α 1 r)
g 1 ＝A 1 Z 2 (β 1 r)+B 1 W 2 (β 1 r)
g 3 ＝A 3 Z 1 (β 1 r)+B 3 W 1 (β 1 r)
Wherein Z is 1 、W 1 Is a first order Bessel function, Z 2 、W 2 Is a second order Bessel function;
c L is the longitudinal wave velocity in the free hollow cylinder structure; c T Is the transverse wave velocity in the free hollow cylinder structure;
α 1 ＝|α|，β 1 ＝|β|。
FIG. 3 shows a stress free hollow cylinder model of infinite length, wherein the coordinate axis z is the centerline of the cylinder, r 1 、r 2 Respectively the inner radius and the outer radius of the cylinder. The boundary conditions are as follows: at r=r 1 And r=r 2 Where sigma rr ＝σ rz ＝σ r θ＝0。
According to Hooke's law, the stress component of the stress field can be obtained:
wherein: lambda and mu are respectively the lame constants of the free hollow cylindrical waveguide.
Substituting the above three formulas into boundary conditions to obtain the amplitude A, B, A 1 、B 1 、A 3 、B 3 Is a characteristic equation composed of the coefficient determinant:
[c ij ] 6×6 [A B A 1 B 1 A 3 B 3 ] T ＝[0 0 0 0 0 0] T
for the above formula to have a non-zero solution, the determinant of the coefficient matrix is zero, i.e.: c ij |＝0
The method is a dispersion equation of the bending guided wave in the free hollow cylinder structure.
The theoretical analysis calculates the material parameters of the free hollow cylindrical waveguide structure as shown in table 1.
Table 1 material parameters of waveguides
And (3) numerically solving a dispersion equation of the bending guided wave in the waveguide tube by using extrapolation prediction and a double-scale iterative approximation algorithm to obtain an attenuation dispersion curve of the bending guided wave of the waveguide tube, wherein the inner diameter of the attenuation dispersion curve is changed within a range of 2-6 mm, and obtaining the optimal waveguide tube size by calculating and comparing the attenuation dispersion curves of the bending guided wave of the waveguide tube with different inner diameters and wall thicknesses.
Preferably, in this embodiment, the waveguide has a diameter of 30mm, a wall thickness of 2mm, and a length L Rod ＝L Hole(s) +0.3m，L Hole(s) For the pitch of the bore holes for the waveguide, the density of the waveguide was 7850kg/m 3 The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.03Np/wl, and the transverse wave attenuation coefficient is 0.08Np/wl.
Step S20, determining event rate, ringing count rate and energy rate between the waveguide tube and the side slope according to the waveguide signal data, and respectively drawing an event curve, a ringing curve and an energy rate curve according to the event rate, the ringing count rate and the energy rate;
the method comprises the steps of sending collected waveguide signal data to a central processing unit, processing the waveguide signal data by matlab software to obtain characteristic parameters such as event rate, ringing count rate, energy and accumulated ringing count, respectively drawing an event curve, a ringing curve and an energy curve according to the event rate, the ringing count rate and the energy rate, and effectively characterizing the change trend of the event rate, the ringing count rate, the energy rate and other parameters based on the drawn event curve, the ringing curve and the energy rate.
Specifically, referring to fig. 4 to 5, when the slope of the dump is in a stable state, the event rate, the ringing count rate and the energy rate are maintained in a low level state, and when a landslide occurs, the event rate, the ringing count rate and the energy rate are rapidly increased, a data peak occurs, and then are rapidly reduced as the slope is restored to a stable state.
Step S30, carrying out curve characteristic detection on the event curve, the ringing curve and the energy rate curve, wherein the curve characteristic detection is used for detecting consistency of curve characteristics among the event curve, the ringing curve and the energy rate curve;
when the stability of the dumping site is monitored based on waveguide signal data, the integral evolution trend of the event curve, the ringing curve and the energy rate curve is the same, and the event curve, the ringing curve and the energy rate curve all have rising trends and are in step-type change when landslide occurs; referring to fig. 6, the cumulative ringing count is the total number of ringing counts in the waveguide signal data, the cumulative energy is the total number of energy in the waveguide signal data, the cumulative event count is the total number of curved guided wave events in the waveguide signal data, the step phenomenon of the cumulative ringing count is more obvious, the cumulative energy is far greater than the cumulative ringing count and the cumulative event count in value, some small changes such as broken stone rolling and local landslide stages can be ignored, the guided wave cumulative parameter can qualitatively describe the landslide of the waste stone field, but the landslide events reflected by the parameters are slightly different;
In the step, the consistency of the curve characteristics among the event curve, the ringing curve and the energy rate curve can be automatically detected by carrying out curve characteristic detection on the event curve, the ringing curve and the energy rate curve, namely, whether step-type change occurs in the event curve, the ringing curve and the energy rate curve is respectively judged; if step change occurs in any curve, judging that the curve characteristic detection of the corresponding curve is qualified.
Step S40, if the curve characteristic detection of the event curve, the ringing curve and the energy rate curve is qualified, determining a landslide early warning value according to a curved guided wave event in the waveguide signal data, and drawing a landslide early warning curve according to the landslide early warning value;
after a landslide early-warning curve is drawn according to a landslide early-warning value, a landslide condition is detected for the landslide early-warning curve, the landslide condition is used for detecting whether the curve characteristic of the landslide early-warning curve meets the curve characteristic when landslide occurs or not through determining the landslide early-warning value (b value), and optionally, in the step, the step of determining the landslide early-warning value according to the curved guided wave event in the waveguide signal data comprises the following steps:
Respectively acquiring the bending guided wave amplitude of each bending guided wave event in the waveguide signal data, and calculating the landslide early warning value according to the bending guided wave amplitude; the formula adopted for calculating the landslide early warning value according to the bending guided wave amplitude comprises the following steps:
lg[N(A/20)]＝a-b×(A/20)
wherein A is the bending guided wave amplitude, N (A/20) is the accumulated frequency of bending guided wave events with the bending guided wave amplitude being greater than A/20, a is an empirical constant, and b is a landslide early warning value; in the step, a landslide early warning value is calculated by utilizing a least square method, the magnitude of an event is generally reflected by the magnitude of guided waves, and the magnitude is divided by 20 to correspond to the earthquake magnitude, so that the distribution of the magnitude of the bent guided waves is approximately similar to the distribution of the earthquake magnitude.
Step S50, if the landslide early warning curve meets landslide conditions, judging that the side slope has landslide risk, and sending landslide early warning prompt to the dumping site;
referring to fig. 7, when the side slope of the dump is in a stable state, the event rate is kept at a lower level, the landslide early warning value is at a higher level, which indicates that the event rate is suddenly increased when the side slope of the dump slides, the landslide early warning value is in a trend of rapidly decreasing, which is caused by the fact that broken stone and waveguide rub against each other and collide to generate a high-amplitude and high-energy event, then the event rate is restored to a lower level again, the landslide early warning value is in an ascending trend and has a maximum value along with time, which indicates that the event rate is increased, the slope body is adjusted to a balanced state under the action of dead weight and lasts for a period of time, when the event rate is suddenly increased for the second time, the landslide early warning value is rapidly decreased, namely the second landslide event occurs, when the event rate is restored to the average level again, the landslide early warning value is in an ascending trend, and when the event rate is increased for the third time, namely the third landslide event occurs, the landslide early warning value has a distinct turning point before the landslide early warning value slides on the dump, which can be used as a precursor of the feature;
In the step, whether the landslide early-warning curve meets landslide conditions or not is judged by detecting the variation trend of each landslide early-warning value in the landslide early-warning curve, if the landslide early-warning curve meets the landslide conditions, the landslide risk is judged, and the landslide early-warning prompt is automatically sent to a soil discharge field so as to achieve the effect of automatically carrying out landslide early-warning.
In the embodiment, the waveguide is placed in the side slope of the earth-discharging field, the bending guided wave signal between the waveguide and the side slope can be effectively acquired, waveguide signal data can be obtained, an event curve, a ringing curve and an energy rate curve can be effectively drawn based on the waveguide signal data, the consistency of curve characteristics among the event curve, the ringing curve and the energy rate curve can be automatically detected by detecting the curve characteristics of the event curve, the ringing curve and the energy rate curve, a landslide early warning curve can be automatically determined and drawn through the bending guided wave event in the waveguide signal data, whether the side slope has a landslide risk can be effectively detected by analyzing the landslide early warning curve, and the accuracy of landslide warning sent by the earth-discharging field is improved.
Example 2
Referring to fig. 8, a flowchart of a landslide warning method for a dump according to a second embodiment of the present invention is provided, where the step of step S30 is further refined, and includes the steps of:
step S31, respectively obtaining the maximum amplitude values in the event curve, the ringing curve and the energy rate curve to obtain an event rate amplitude value, a ringing count amplitude value and an energy rate amplitude value;
the method comprises the steps of respectively calculating the difference values of adjacent points in an event curve, a ringing curve and an energy rate curve, determining the maximum difference value of the adjacent points in the event curve, the ringing curve and the energy rate curve as the maximum amplitude value, and obtaining the event rate amplitude value, the ringing counting amplitude value and the energy rate amplitude value;
step S32, if the event rate amplitude, the ringing count amplitude and the energy rate amplitude are all larger than the corresponding amplitude threshold values, obtaining a difference value between adjacent event rates in the event curve to obtain an event rate difference value;
the amplitude threshold value can be set according to requirements, the amplitude threshold values corresponding to the event rate amplitude value, the ringing count amplitude value and the energy rate amplitude value can be the same or different, and if the event rate amplitude value, the ringing count amplitude value and the energy rate amplitude value are all larger than the corresponding amplitude threshold values, the event curve, the ringing curve and the energy rate curve are judged to meet the curve characteristics when landslide occurs;
In the step, if the event rate amplitude, the ringing count amplitude and/or the energy rate amplitude are/is smaller than or equal to the corresponding amplitude threshold, determining that the corresponding curve does not meet the curve characteristic when landslide occurs, namely determining that the curve characteristic of the corresponding curve is unqualified in detection;
preferably, in the step, if the curve feature detection of any two curves of the event curve, the ringing curve and the energy rate curve is qualified, and the curve feature detection of the other curve is not qualified, a feature detection error prompt is performed on the curve with unqualified curve feature detection, and based on the feature detection error prompt, a user can be effectively reminded of checking the information of each curve in time, the accuracy of landslide early warning of the dumping site is improved, and the failure phenomenon of landslide early warning of the dumping site caused by data errors is prevented.
Step S33, if the event rate difference value is larger than a first difference value threshold value, carrying out feature marking on the adjacent event rates, and generating an event feature area in the event curve according to the event rates subjected to feature marking;
the first difference threshold can be set according to requirements, the first difference threshold is used for detecting whether landslide features are met between adjacent event rates corresponding to the event rate difference values, in the step, if the event rate difference value is larger than the first difference threshold, the adjacent event rates are subjected to feature marking, an event feature area is generated according to the event rates subjected to feature marking, and the event feature area is used for representing a time period, obtained based on event rate analysis, of the possibility of landslide occurrence;
Step S34, obtaining the difference between adjacent ringing count rates in the ringing curve to obtain a ringing count difference;
step S35, if the ringing count difference is greater than a second difference threshold, the adjacent ringing count rates are marked, and in the ringing curve, a ringing characteristic area is generated according to the marked ringing count rates;
the second difference threshold can be set according to requirements, the second difference threshold is used for detecting whether a landslide feature is met between ringing count rates corresponding to ringing count difference values, in the step, if the ringing count difference values are larger than the second difference threshold, adjacent ringing count rates are subjected to feature marking, a ringing feature area is generated according to the ringing count rates subjected to feature marking, and the ringing feature area is used for representing a period of time, which is obtained based on ringing count rate analysis, in which landslide is likely to occur;
step S36, obtaining the difference value between adjacent energy rates in the energy rate curve to obtain an energy rate difference value;
step S37, if the energy difference value is larger than a third difference value threshold value, performing feature marking on the adjacent energy rates, and generating an energy rate feature area according to the energy rates subjected to feature marking in the energy rate curve;
The third difference threshold can be set according to requirements, the third difference threshold is used for detecting whether landslide features are met between adjacent energy ratios corresponding to the energy ratio difference values, in the step, if the energy ratio difference values are larger than the third difference threshold, the adjacent energy ratios are subjected to feature marking, and an energy ratio feature area is generated according to the energy ratio difference values subjected to feature marking, and the energy ratio feature area is used for representing a time period, obtained based on energy ratio analysis, of the possibility of landslide occurrence;
step S38, comparing the event characteristic region, the ringing characteristic region and the energy rate characteristic region in time;
the step of comparing the event feature area, the ringing feature area and the energy rate feature area in time is optional, and includes:
respectively acquiring the starting time and the ending time of the event characteristic region, the ringing characteristic region and the energy characteristic region to obtain a first time range, a second time range and a third time range;
Respectively calculating the time length difference values among the first time range, the second time range and the third time range;
if the difference value of each duration is smaller than the duration threshold, determining that the event feature area, the ringing feature area and the energy feature area are time-aligned, wherein the duration threshold can be set according to requirements, for example, the duration threshold can be set to 0.08 seconds, 0.1 seconds, 0.5 seconds, 0.8 seconds or 1 second, etc.
Step S39, if the time of the event characteristic area, the ringing characteristic area and the energy characteristic area are matched, judging that the curve characteristics of the event curve, the ringing curve and the energy curve are qualified;
if the time of the event feature area, the ringing feature area and the energy rate feature area are compared, judging that the event feature, the ringing feature and the energy rate feature are consistent in time feature, namely, the curve feature detection of the event curve, the ringing curve and the energy rate curve is qualified;
step S310, if the time comparison of the event feature area, the ringing feature area and the energy rate feature area is not qualified, judging that the curve feature detection of the event curve, the ringing curve and the energy rate curve is not qualified;
If the time of the event feature area, the ringing feature area and the energy rate feature area are matched, the event feature, the ringing feature and the energy rate feature are not consistent in time feature, namely, the curve feature detection of the event curve, the ringing curve and the energy rate curve is qualified.
In this embodiment, the maximum amplitude values in the event curve, the ringing curve and the energy rate curve are obtained respectively, so that the event rate amplitude value, the ringing count amplitude value and the energy rate amplitude value are obtained, based on the magnitude judgment between the event rate amplitude value, the ringing count amplitude value and the energy rate amplitude value and the corresponding amplitude threshold value, whether the event curve, the ringing curve and the energy rate curve meet the curve characteristics when landslide occurs can be automatically judged, the event rate difference value is obtained by obtaining the difference value between adjacent event rates in the event curve, based on the magnitude judgment between the event rate difference value and the first difference value threshold value, the event characteristic region can be automatically generated, based on the magnitude judgment between the ringing count difference value and the second difference value threshold value, the ringing characteristic region can be automatically generated, and based on the magnitude judgment between the energy rate difference value and the third difference value threshold value, the event characteristic region, the ringing characteristic region and the energy rate characteristic region can be automatically compared, and whether the curve characteristic detection of the event curve, the ringing curve and the energy rate curve is qualified can be automatically judged.
Example 3
Referring to fig. 9, a schematic structural diagram of a landslide warning system 100 for a dump according to a third embodiment of the present invention includes: the system comprises a signal acquisition unit 10, a curve drawing unit 11, a characteristic detection unit 12, an early warning value determination unit 13 and a landslide early warning unit 14, wherein:
and the signal acquisition unit 10 is used for placing the waveguide tube in a side slope of the dumping site and acquiring a bending guided wave signal between the waveguide tube and the side slope to obtain waveguide signal data.
Wherein the signal acquisition unit 10 is further configured to: acquiring historical landslide information of the dumping site, and determining the side slope according to the historical landslide information;
obtaining geological information and position information of the side slope, and determining hole spacing and the number of waveguides according to the geological information;
and arranging drilling holes in the side slope according to the hole spacing, and inserting each waveguide tube into the corresponding drilling hole.
Optionally, the signal acquisition unit 10 is further configured to: an acoustic wave sensor is arranged on each waveguide tube, and the acoustic wave sensor is connected with an amplifier;
and setting the gain of the amplifier, connecting the amplifier with the gain set with a filter, and setting the frequency of the filter.
A curve drawing unit 11 for determining an event rate, a ringing count rate, and an energy rate between the waveguide and the slope according to the waveguide signal data, and drawing an event curve, a ringing curve, and an energy rate curve according to the event rate, the ringing count rate, and the energy rate, respectively.
And a feature detection unit 12, configured to perform a feature detection on the event curve, the ringing curve, and the energy rate curve, where the feature detection is configured to detect consistency of feature curves among the event curve, the ringing curve, and the energy rate curve.
Wherein the feature detection unit 12 is further configured to: respectively obtaining the maximum amplitude values in the event curve, the ringing curve and the energy rate curve to obtain an event rate amplitude value, a ringing counting amplitude value and an energy rate amplitude value;
if the event rate amplitude, the ringing count amplitude and the energy rate amplitude are all larger than the corresponding amplitude threshold values, obtaining a difference value between adjacent event rates in the event curve to obtain an event rate difference value;
if the event rate difference value is larger than a first difference value threshold value, carrying out feature marking on the adjacent event rates, and generating an event feature area in the event curve according to the event rates subjected to feature marking;
Obtaining a difference value between adjacent ringing count rates in the ringing curve to obtain a ringing count difference value;
if the ringing count difference is greater than a second difference threshold, performing feature marking on the adjacent ringing count rates, and generating a ringing feature area in the ringing curve according to the feature-marked ringing count rates;
acquiring a difference value between adjacent energy rates in the energy rate curve to obtain an energy rate difference value;
if the energy difference value is larger than a third difference value threshold value, performing feature marking on the adjacent energy rates, and generating an energy rate feature area in the energy rate curve according to the energy rates subjected to feature marking;
comparing the event characteristic region, the ringing characteristic region and the energy characteristic region in time;
if the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched, judging that the curve characteristics of the event curve, the ringing curve and the energy curve are qualified;
and if the time comparison of the event characteristic region, the ringing characteristic region and the energy characteristic region is not qualified, judging that the curve characteristic detection of the event curve, the ringing curve and the energy curve is not qualified.
Optionally, the feature detection unit 12 is further configured to: respectively acquiring the starting time and the ending time of the event characteristic region, the ringing characteristic region and the energy characteristic region to obtain a first time range, a second time range and a third time range;
respectively calculating the time length difference values among the first time range, the second time range and the third time range;
and if the difference value of each duration is smaller than the duration threshold value, judging that the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched.
And the early warning value determining unit 13 is configured to determine a landslide early warning value according to a curved guided wave event in the waveguide signal data and draw a landslide early warning curve according to the landslide early warning value if the curve feature detection of the event curve, the ringing curve and the energy curve is qualified.
Wherein the early warning value determining unit 13 is further configured to: respectively acquiring the bending guided wave amplitude of each bending guided wave event in the waveguide signal data, and calculating the landslide early warning value according to the bending guided wave amplitude;
the formula adopted for calculating the landslide early warning value according to the bending guided wave amplitude comprises the following steps:
lg[N(A/20)]＝a-b×(A/20)
Wherein A is the bending guided wave amplitude, N (A/20) is the accumulated frequency of bending guided wave events with the bending guided wave amplitude being greater than A/20, a is an empirical constant, and b is the landslide early warning value.
And the landslide early warning unit 14 is used for judging that the side slope has landslide risk if the landslide early warning curve meets landslide conditions, and sending a landslide early warning prompt to the dumping site.
In the embodiment, the waveguide is placed in the side slope of the earth-discharging field, the bending guided wave signal between the waveguide and the side slope can be effectively acquired, waveguide signal data can be obtained, an event curve, a ringing curve and an energy rate curve can be effectively drawn based on the waveguide signal data, the consistency of curve characteristics among the event curve, the ringing curve and the energy rate curve can be automatically detected by detecting the curve characteristics of the event curve, the ringing curve and the energy rate curve, a landslide early warning curve can be automatically determined and drawn through the bending guided wave event in the waveguide signal data, whether the side slope has a landslide risk can be effectively detected by analyzing the landslide early warning curve, and the accuracy of landslide warning sent by the earth-discharging field is improved.
Example 4
Fig. 10 is a block diagram of a terminal device 2 according to a fourth embodiment of the present application. As shown in fig. 10, the terminal device 2 of this embodiment includes: a processor 20, a memory 21 and a computer program 22 stored in said memory 21 and executable on said processor 20, such as a program for a dump landslide warning method. The processor 20, when executing the computer program 22, implements the steps in the embodiments of the landslide warning method for the dump, such as S10 to S50 shown in fig. 2, or S31 to S310 shown in fig. 8. Alternatively, the processor 20 may implement the functions of each unit in the embodiment corresponding to fig. 9 when executing the computer program 22, and the detailed description of each unit in the embodiment corresponding to fig. 9 will be specifically referred to herein and omitted.
Illustratively, the computer program 22 may be partitioned into one or more units that are stored in the memory 21 and executed by the processor 20 to complete the present application. The one or more units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 22 in the terminal device 2. For example, the computer program 22 may be divided into a signal acquisition unit 10, a curve drawing unit 11, a feature detection unit 12, an early warning value determination unit 13 and a landslide early warning unit 14, each unit functioning specifically as described above.
The terminal device may include, but is not limited to, a processor 20, a memory 21. It will be appreciated by those skilled in the art that fig. 9 is merely an example of the terminal device 2 and does not constitute a limitation of the terminal device 2, and may include more or less components than illustrated, or may combine certain components, or different components, e.g., the terminal device may further include an input-output device, a network access device, a bus, etc.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Wherein the computer readable storage medium may be nonvolatile or volatile. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each method embodiment described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable storage medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable storage medium may be appropriately scaled according to the requirements of jurisdictions in which such computer readable storage medium does not include electrical carrier signals and telecommunication signals, for example, according to jurisdictions and patent practices.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (9)
1. The landslide early warning method for the dump is characterized by comprising the following steps:
placing a waveguide tube in a side slope of a soil discharge field, and collecting a bending guided wave signal between the waveguide tube and the side slope to obtain waveguide signal data;
determining event rate, ringing count rate and energy rate between the waveguide tube and the side slope according to the waveguide signal data, and respectively drawing an event curve, a ringing curve and an energy rate curve according to the event rate, the ringing count rate and the energy rate;
performing curve characteristic detection on the event curve, the ringing curve and the energy rate curve, wherein the curve characteristic detection is used for detecting consistency of curve characteristics among the event curve, the ringing curve and the energy rate curve;
If the curve characteristic detection of the event curve, the ringing curve and the energy rate curve are all qualified, determining a landslide early warning value according to a curved guided wave event in the waveguide signal data, and drawing a landslide early warning curve according to the landslide early warning value;
if the landslide early warning curve meets landslide conditions, judging that the side slope has landslide risk, and sending landslide early warning prompt to the soil discharge field;
the performing curve feature detection on the event curve, the ringing curve and the energy rate curve includes:
respectively obtaining the maximum amplitude values in the event curve, the ringing curve and the energy rate curve to obtain an event rate amplitude value, a ringing counting amplitude value and an energy rate amplitude value;
if the event rate amplitude, the ringing count amplitude and the energy rate amplitude are all larger than the corresponding amplitude threshold values, obtaining a difference value between adjacent event rates in the event curve to obtain an event rate difference value;
if the event rate difference value is larger than a first difference value threshold value, carrying out feature marking on the adjacent event rates, and generating an event feature area in the event curve according to the event rates subjected to feature marking;
Obtaining a difference value between adjacent ringing count rates in the ringing curve to obtain a ringing count difference value;
if the ringing count difference is greater than a second difference threshold, performing feature marking on the adjacent ringing count rates, and generating a ringing feature area in the ringing curve according to the feature-marked ringing count rates;
acquiring a difference value between adjacent energy rates in the energy rate curve to obtain an energy rate difference value;
if the energy difference value is larger than a third difference value threshold value, performing feature marking on the adjacent energy rates, and generating an energy rate feature area in the energy rate curve according to the energy rates subjected to feature marking;
comparing the event characteristic region, the ringing characteristic region and the energy characteristic region in time;
if the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched, judging that the curve characteristics of the event curve, the ringing curve and the energy curve are qualified;
and if the time comparison of the event characteristic region, the ringing characteristic region and the energy characteristic region is not qualified, judging that the curve characteristic detection of the event curve, the ringing curve and the energy curve is not qualified.
2. The method for landslide warning of claim 1, wherein the time-comparing the event feature region, the ringing feature region, and the energy feature region comprises:
respectively acquiring the starting time and the ending time of the event characteristic region, the ringing characteristic region and the energy characteristic region to obtain a first time range, a second time range and a third time range;
respectively calculating the time length difference values among the first time range, the second time range and the third time range;
and if the difference value of each duration is smaller than the duration threshold value, judging that the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched.
3. The method of claim 1, wherein determining a landslide warning value based on curved guided wave events in the waveguide signal data comprises:
respectively acquiring the bending guided wave amplitude of each bending guided wave event in the waveguide signal data, and calculating the landslide early warning value according to the bending guided wave amplitude;
the formula adopted for calculating the landslide early warning value according to the bending guided wave amplitude comprises the following steps:
lg[N(A/20)]＝a-b×(A/20)
Wherein A is the bending guided wave amplitude, N (A/20) is the accumulated frequency of bending guided wave events with the bending guided wave amplitude being greater than A/20, a is an empirical constant, and b is the landslide early warning value.
4. The method for landslide warning of a dump of claim 1 wherein the placing a waveguide in a side slope of the dump comprises:
acquiring historical landslide information of the dumping site, and determining the side slope according to the historical landslide information;
obtaining geological information and position information of the side slope, and determining hole spacing and the number of waveguides according to the geological information;
and arranging drilling holes in the side slope according to the hole spacing, and inserting each waveguide tube into the corresponding drilling hole.
5. The method for landslide warning of claim 4 wherein said inserting each waveguide into a corresponding one of said bores further comprises:
an acoustic wave sensor is arranged on each waveguide tube, and the acoustic wave sensor is connected with an amplifier;
and setting the gain of the amplifier, connecting the amplifier with the gain set with a filter, and setting the frequency of the filter.
6. The landslide warning method of a dump of any one of claims 1 to 5, characterized in that the waveguide has a diameter of 30mm and a wall thickness of 2mm, and the waveguide has a length of L Rod ＝L Hole(s) +0.3m，L Hole(s) For the pitch of the bore holes for the waveguide, the density of the waveguide was 7850kg/m 3 The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.03Np/wl, and the transverse wave attenuation coefficient is 0.08Np/wl.
7. A dump landslide warning system, the system comprising:
the signal acquisition unit is used for placing the waveguide tube in a side slope of the dumping site and acquiring a bending guided wave signal between the waveguide tube and the side slope to obtain waveguide signal data;
the curve drawing unit is used for determining the event rate, the ringing count rate and the energy rate between the waveguide tube and the side slope according to the waveguide signal data, and drawing an event curve, a ringing curve and an energy rate curve according to the event rate, the ringing count rate and the energy rate respectively;
the characteristic detection unit is used for detecting the curve characteristics of the event curve, the ringing curve and the energy rate curve, and the curve characteristic detection is used for detecting the consistency of the curve characteristics among the event curve, the ringing curve and the energy rate curve;
the early warning value determining unit is used for determining a landslide early warning value according to a bending guided wave event in the waveguide signal data and drawing a landslide early warning curve according to the landslide early warning value if the curve characteristic detection of the event curve, the ringing curve and the energy rate curve is qualified;
The landslide early warning unit is used for judging that the side slope has landslide risk if the landslide early warning curve meets landslide conditions, and sending landslide early warning prompt to the dumping site;
the feature detection unit is further configured to: respectively obtaining the maximum amplitude values in the event curve, the ringing curve and the energy rate curve to obtain an event rate amplitude value, a ringing counting amplitude value and an energy rate amplitude value;
if the event rate amplitude, the ringing count amplitude and the energy rate amplitude are all larger than the corresponding amplitude threshold values, obtaining a difference value between adjacent event rates in the event curve to obtain an event rate difference value;
if the event rate difference value is larger than a first difference value threshold value, carrying out feature marking on the adjacent event rates, and generating an event feature area in the event curve according to the event rates subjected to feature marking;
obtaining a difference value between adjacent ringing count rates in the ringing curve to obtain a ringing count difference value;
if the ringing count difference is greater than a second difference threshold, performing feature marking on the adjacent ringing count rates, and generating a ringing feature area in the ringing curve according to the feature-marked ringing count rates;
Acquiring a difference value between adjacent energy rates in the energy rate curve to obtain an energy rate difference value;
if the energy difference value is larger than a third difference value threshold value, performing feature marking on the adjacent energy rates, and generating an energy rate feature area in the energy rate curve according to the energy rates subjected to feature marking;
comparing the event characteristic region, the ringing characteristic region and the energy characteristic region in time;
if the time of the event characteristic region, the ringing characteristic region and the energy characteristic region is matched, judging that the curve characteristics of the event curve, the ringing curve and the energy curve are qualified;
and if the time comparison of the event characteristic region, the ringing characteristic region and the energy characteristic region is not qualified, judging that the curve characteristic detection of the event curve, the ringing curve and the energy curve is not qualified.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 6.
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| GB0901443D0 (en) * | 2009-01-29 | 2009-03-11 | Univ Loughborough | Acoustic emission soil slope displacement rate sensor |
| CN104965027B (en) * | 2015-07-13 | 2018-09-21 | 中国矿业大学 | The analysis method extended based on image recognition and sound emission positioning and anchoring rock cranny |
| CN110320279B (en) * | 2019-05-06 | 2020-11-03 | 清华大学 | Landslide monitoring method based on active waveguide acoustic emission technology |
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