CN110243946B - Bending guided wave monitoring method for early warning of dam break of tailing reservoir dam body - Google Patents
Bending guided wave monitoring method for early warning of dam break of tailing reservoir dam body Download PDFInfo
- Publication number
- CN110243946B CN110243946B CN201910541712.7A CN201910541712A CN110243946B CN 110243946 B CN110243946 B CN 110243946B CN 201910541712 A CN201910541712 A CN 201910541712A CN 110243946 B CN110243946 B CN 110243946B
- Authority
- CN
- China
- Prior art keywords
- guided wave
- bending guided
- bending
- dam
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/11—Analysing solids by measuring attenuation of acoustic waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4472—Mathematical theories or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/01—Indexing codes associated with the measuring variable
- G01N2291/015—Attenuation, scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0232—Glass, ceramics, concrete or stone
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/269—Various geometry objects
- G01N2291/2698—Other discrete objects, e.g. bricks
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Immunology (AREA)
- General Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Mathematical Optimization (AREA)
- Signal Processing (AREA)
- Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Physics (AREA)
- Mathematical Analysis (AREA)
- Algebra (AREA)
- Acoustics & Sound (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention discloses a bending guided wave monitoring method for early warning of dam break of a tailing pond dam body. The method comprises the following steps of 1: determining the position of a monitoring point along the direction of the span of the stacking dam on the basis of fully analyzing the existing engineering data and carrying out geological mapping investigation; step 2: drilling and embedding a waveguide rod array at the monitoring point; 1) drilling and embedding PVC pipes in the monitoring points; 2) selecting a waveguide rod; 3) determining the number N of waveguide rods; 4) placing the waveguide rod at the central position of the PVC pipe; 5) the orifice is plugged by a rubber plug; and step 3: mounting a bending guided wave sensor; and 4, step 4: establishing a signal acquisition base station; and 5: signal acquisition; step 6: and analyzing and processing the data. The bending guided wave monitoring method for the early warning of dam break of the tailing reservoir dam body has the advantages of low labor cost, all-weather automatic monitoring, simplicity and easiness in operation of the monitoring method, simplicity in data analysis, few error factors and high detection precision.
Description
Technical Field
The invention relates to the technical field of mine construction, in particular to a bending guided wave monitoring method for early warning of dam break of a tailing pond dam body.
Background
The tailing pond is used for storing tailings and waste water left after ore crushing and screening, belongs to an industrial structure under construction, and the height of the tailing pond is increased along with the discharge of the tailings and the waste water along with the continuous mining of mines, so that the tailing pond belongs to a danger source with the potential energy being increased continuously. The dam body of the tailing pond consists of an initial dam and a stacking dam, wherein the stacking dam is formed by stacking tailings and belongs to a loose medium stacking body, a stacking sub-dam is formed along with the increase of the height of the dam body, and dam break accidents are mostly caused by the damage of the stacking sub-dam. The accumulation dam is different from a common rock slope, the cohesive force among particles of the accumulation dam is almost zero, and the tensile strength is extremely low, so that the dam break is easily and directly caused by the action of external factors. Once a dam is broken, the huge potential energy of the dam can cause serious damage to the life, property and environment of downstream residents. The dam break of the tailing dam is caused by the combined action of internal and external factors under the accumulation effect of a certain period of time, so that the safety of the dam body needs to be monitored in real time, and corresponding measures are taken to prevent accidents.
Dam body displacement monitoring: dam body displacement is an intuitive reflection index in a disaster evolution process and is divided into dam body surface and internal displacement monitoring according to the position of a monitoring point. The method comprises the steps of firstly, arranging a fixed monitoring datum point network at a key position of the dam body, then regularly monitoring the elevation and the position of the monitoring point network through an instrument, and deducing the deformation development condition of the tailing dam body through monitoring data. However, this monitoring method has the following disadvantages: how the arrangement mode of the monitoring points is determined has no clear specification; the dam breaking of the tailing dam body is not specified when the variable quantity of the coordinates of the monitoring points is large; is susceptible to geographical climate environment, so that the monitoring precision is reduced. Common deformation means in the dam body comprise an inclinometer, a settlement gauge and the like, wherein monitoring instruments are usually embedded in key positions such as the highest position of the dam body and a position with large foundation topographic and geological changes, the inclinometer measures the inclination length and the angle of a pulley through the instruments to calculate the horizontal displacement of the dam body, the settlement gauge works on a sensor through water column pressure, and then the water column elevation is calculated through calculating a pressure change value to obtain the settlement elevation of the dam body. This method has the following disadvantages: the pitch (gauge length) and depth of embedment of the sensors have no clear specifications; the monitoring means only carry out single index monitoring on the monitoring points; the dam break index of displacement amount has no clear standard. The two monitoring methods are based on dam body displacement, can only describe the macroscopic damage trend of the dam body, and cannot carry out microscopic description on the damage evolution process inside the dam body.
Monitoring a dam body infiltration line: the seepage monitoring is one of important projects of dam body safety monitoring, accurate seepage monitoring data are obtained, and the premise of dam body safety assessment and analysis is provided. The vibrating wire osmometer is widely used due to the characteristics of simple structure and stable performance. The method comprises the steps of embedding a sensor of the osmometer below a water level line of a dam body, calculating the water level of each measuring point through a numerical simulation formula according to single-hole water pressure information measured by the sensor, and finally fitting the change trend of the whole saturation line according to the water level condition of the whole section. The method measures errors in two aspects: on the one hand, errors in the measured parameters and, on the other hand, errors in the instrument itself. The measurement parameter error comprises a measurement error of the installation depth of the sensor; density value error and gravity acceleration value error of the tailing water; the installation depth of the sensor is generally measured manually by adopting a tape, so that the measurement error of the index is larger due to the technology of a measurer, the bending deformation of a cable, the scale deformation of the tape and other reasons; at present, the density of most tailing water in a tailing pond is fixed at a value of 1 multiplied by 103kg/m3, and the density of the tailing water in a pressure measuring pipe is influenced by water temperature, heavy metal ions, soil particles and the like under the actual condition, and the value is generally larger than 1; the values of the gravitational acceleration are 9.8m/s2 for most tailings ponds, and the values are different according to different latitudes and different altitudes. The errors of the instrument comprise temperature influence, the precision of air pressure compensation equipment, the long-term stability of the steel string and the like, wherein the temperature influence is the main reason. In addition, the number of the monitoring sections and the number of the monitoring points of the monitoring sections are not clear and standardized, and too much number of the monitoring sections causes labor and cost increase, and too little number of the monitoring sections causes low reliability of monitoring results.
Video monitoring: the method is mainly used for replacing the daily inspection of an artificial dam area, a video monitoring device is usually arranged at important positions of a dam body, a flood discharge port, a top-spreading ore-drawing position, a downstream slope of the dam body and the like, and the operation condition of the tailing dam can be observed in a main control mode and a high-definition mode through a field camera data transmission system. The method comprises the following steps: video transmission is limited by the communication signal; the monitoring room needs to be provided with a high-capacity hard disk server; the video quality is easily poor due to external interference.
Practice proves that: the tailing dam sliding and breaking process has acoustic signals, but due to the fact that the generated signals are small, propagation attenuation inside a dam body is large, sensor probe installation is inconvenient, and the like, acoustic technology is not applied to tailing dam body safety monitoring all the time.
Disclosure of Invention
The invention provides a bending guided wave monitoring method for early warning of dam break of a tailing dam body, which can determine the change characteristics of the interior of the dam body by analyzing and researching received bending guided wave signals, thereby achieving the purpose of carrying out safety monitoring on the tailing dam body, and has the advantages of low labor cost, all-weather automatic monitoring, simple and easy operation of a monitoring method, simple data analysis, less error factors and higher detection precision.
In order to achieve the purpose, the invention provides the following scheme:
a bending guided wave monitoring method for early warning of dam break of a tailing reservoir dam body comprises the following steps:
step 1: according to relevant regulations of technical Specifications for monitoring safety of tailings ponds (AQ2030-2010) and technical regulations for safety of tailings ponds (AQ2006-2005), determining the position of a monitoring point along the span direction of a stacking dam on the basis of fully analyzing existing engineering data and carrying out geological mapping investigation;
step 2: drilling and embedding a waveguide rod array at the monitoring point;
1) drilling and embedding a PVC pipe at the monitoring point, wherein the PVC pipe is sleeved with a water-permeable geotextile, is vertical to the top surface of the dam of the accumulation dam, and has an aperture of 75mm and a depth of 10-20 m;
2) selection of waveguide rods: the waveguide rod is made of 304 stainless steel round steel, the diameter of the waveguide rod is 20mm, and the density of the waveguide rod is 7.93g/cm3The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.003Np/wl, the transverse wave attenuation coefficient is 0.008Np/wl, and the length of the waveguide rod is LRod＝LHole(s)+0.5，LHole(s)Is the vertical distance between the top surface of the dam and the top surface of the initial dam, the unit is: m;
3) determining the number N of waveguide rods: according to the requirements of 'technical standard for safety monitoring of tailings ponds' and 'monitoring standard for geotechnical engineering', the distance S between monitoring points is 5m-15m, and different hole distances are selected according to different geological conditions, namely the number N of waveguide rods is determined;
4) placing the waveguide rod at the central position of the PVC pipe, filling steel balls between the waveguide rod and the PVC pipe wall from the bottom of the PVC pipe, wherein the diameter of each steel ball is 8mm, and the density of each steel ball is 7.93g/cm3The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.003Np/wl, the transverse wave attenuation coefficient is 0.008Np/wl, and the steel ball is filled from the level height of the top surface of the initial dam to the opening;
5) the hole opening is tightly plugged by a rubber plug to prevent external noise interference, the plugging length is 0.1m, and then the PVC pipe is pulled out;
and step 3: mounting a bending guided wave sensor;
the waveguide rod is exposed out of the ground surface by 0.5m, a bending guided wave sensor is arranged on the side part of the waveguide rod, the bending guided wave sensor is covered by a metal protective cover, and the preamplifier adopts an AE2A model;
and 4, step 4: establishing a signal acquisition base station;
the preamplifier is connected to a Sensor high way II monitoring system, the system is powered by a solar storage battery, and a signal acquisition base station is established at a stable position near a tailing dam;
and 5: signal acquisition;
under normal working conditions, a worker collects data once every two days to the signal collecting base station, and under the interference of rainfall or external operation, the worker collects data once every day to the signal collecting base station; under extreme weather or strong external operation disturbance, acquiring data once by a signal acquisition base station at an interval of one hour;
step 6: analyzing the processed data;
1) amplifying and filtering the collected sound wave electric signals through a signal processing module of the upper computer, performing analog-to-digital conversion on the sound wave voltage signals to generate data, and sending the data to a central processing unit of the upper computer after performing operation processing on the data;
2) the central processing unit of the upper computer draws a guided wave signal dynamic waveform diagram according to the processed data, and extracts a bending guided wave ringing counting characteristic parameter, a bending guided wave energy characteristic parameter, a bending guided wave fractal dimension characteristic parameter and a bending guided wave b value characteristic parameter from the guided wave signal dynamic waveform diagram by using a time domain waveform characteristic parameter analysis method;
3) inputting the ringing count characteristic parameter, the bending guided wave energy characteristic parameter, the fractal dimension characteristic parameter and the b-value characteristic parameter of the bending guided wave into Matlab software of an upper computer for simulation to obtain a bending guided wave ringing count-time distribution diagram, a bending guided wave energy-time distribution diagram, a bending guided wave signal fractal dimension-time curve diagram and a bending guided wave signal b-value-time curve diagram, thereby judging the stable state of the dam body.
Optionally, the diameter of the waveguide rod in step 2 is selected to be 20mm, and specifically includes:
1) frequency dispersion analysis
When the bending guided wave propagates in the wave guide rod, the bending guided wave satisfies the formula (1)
J1(αr1)J1 2(βr1)(y1ξα 2+y2ξαξβ+y3ξβ+y4ξα+y5)＝0 (1)
In the formula:
y1＝2(β2r1 2-kr1 2)2
y2＝ 2β2r1 4(5k2+β2)
y3＝(β6-2β4k2+β2k4)r1 6-(10β4-2β2k2+4k4)r1 4
y4＝2β2r1 4(2β2k2r1 2-β2-9k2)
y5＝β2r1 4[-(β4+2β2k2+k2)r1 2+(8β2+8k2)]
ξx＝xJ0(x)/J1(x)
k is the wave number in the direction of the travelling wave, ω is the circular frequency of the wave, J0(x) And J1(x) Bessel functions of the first kind, zero and first order, respectively, cpAnd csThe wave velocities of longitudinal wave and transverse wave of the waveguide rod respectively, lambda and mu are the Lame constant of the free 304 steel waveguide rod respectively, r1Is the radius of the waveguide rod;
2) respectively drawing attenuation curves of the curved guided wave propagation of the waveguide rods with the diameters of 14mm, 16mm, 18mm and 20mm according to a formula (1), and selecting the waveguide rod with the diameter of 20mm with the minimum attenuation as the optimal waveguide rod monitoring diameter by comparing the change rule of the attenuation curves.
Optionally, the diameter of steel ball selects for 8mm, specifically includes:
1) respectively combining the selected waveguide rod with the optimal diameter of 20mm with steel balls with the diameters of 6mm, 8mm, 10mm and 12mm, and drawing a main frequency signal attenuation distribution rule graph under different combinations;
2) and selecting the steel balls with the diameters of 8mm corresponding to the combinations with concentrated main frequency signals and small attenuation as the optimal steel ball monitoring diameter according to the main frequency signal attenuation distribution rule graphs under different combinations.
Optionally, in step 6: (3) inputting the ringing count characteristic parameter, the bending guided wave energy characteristic parameter, the bending guided wave fractal dimension characteristic parameter and the bending guided wave b value characteristic parameter into Matlab software of an upper computer for simulation to obtain a bending guided wave ringing count-time distribution diagram, a bending guided wave energy-time distribution diagram, a bending guided wave signal fractal dimension-time curve diagram and a bending guided wave signal b value-time curve diagram, so as to judge the stable state of a dam body, and the method specifically comprises the following steps:
when the dam body is in the slip period, the bending guided wave ringing count is in an ascending trend, when the dam body is in the slip period, the bending guided wave ringing count is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave ringing count is in a descending trend;
when the dam body is in the slip period, the bending guided wave energy is in an ascending trend, when the dam body is in the slip period, the bending guided wave energy is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave energy is in a descending trend;
when the dam body is in the slip period, the bending guided wave fractal dimension is in an ascending trend, when the dam body is in the slip period, the bending guided wave fractal dimension is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave fractal dimension is in a descending trend;
when the dam body is in the slip period, the bending guided wave b value is in a descending trend, when the dam body is in the slip period, the bending guided wave b value is in a low-value fluctuation change, and when the dam body is in the slip to stable period, the bending guided wave b value is in an ascending trend.
A control system of a bending guided wave monitoring method for early warning of dam break of a dam body of a tailing reservoir comprises a PVC pipe, a waveguide rod, steel balls, a bending guided wave Sensor, a preamplifier, a signal acquisition base station and an upper computer, wherein the upper computer comprises a signal processing module and a central processor, the signal acquisition base station comprises a Sensor highwall II monitoring system, the PVC pipe is pre-embedded at a monitoring point, the waveguide rod is placed at the central position of the PVC pipe, the steel balls are filled between the waveguide rod and the wall of the PVC pipe from the bottom of the PVC pipe, the bending guided wave Sensor is installed at the top end of the waveguide rod and is connected to the Sensor highwall II monitoring system through the preamplifier, the Sensor highwall II monitoring system transmits acquired acoustic signals to the signal processing module for amplification and filtering processing, and the central processor carries out bending ringing characteristic parameters, and ringing characteristic parameters according to processed data, And the central processing unit inputs the extracted ringing count characteristic parameter of the bending guided wave, the energy characteristic parameter of the bending guided wave, the fractal dimension characteristic parameter of the bending guided wave and the b value characteristic parameter of the bending guided wave into Matlab software of the upper computer to draw a curve graph of the characteristic parameters changing along with time.
Optionally, the material selected for the waveguide rod is 304 stainless steel.
Optionally, the bending guided wave sensor is of a type R6 α.
Optionally, the model AE2A is adopted for the preamplifier.
Optionally, the Sensor Highway ii monitoring system includes a first wireless transmission device, the upper computer includes a second wireless transmission device, and the Sensor Highway ii monitoring system is connected with the upper computer through wireless.
Optionally, the first wireless transmission device and the second wireless transmission device are one or more of a GPRS module, a Zigbee module, a Wifi module, and an NFC communication module.
Compared with the prior art, the technology has the following beneficial effects:
the invention provides a bending guided wave monitoring method for early warning of dam break of a tailing pond dam body, which is characterized in that a monitoring point of the dam body is determined on the basis of relevant standard regulations and engineering geological data, then a guided wave meter is embedded in the monitoring point, and a sensor probe is arranged on the exposed side of a waveguide rod in the guided wave meter. When the dam body deforms and changes, the steel balls in the wave guide meter and the steel balls and the wave guide rod are extruded and collided to generate bent wave guide signals, the signals are transmitted to the side sensor through the wave guide rod and collected by the base station instrument, and the stability condition of the dam body is judged according to the change characteristics of the signals through data analysis. The invention provides a bending guided wave monitoring method for early warning of dam break of a tailing dam body, which can determine the change characteristics of the interior of the dam body by analyzing and researching received bending guided wave signals so as to achieve the aim of carrying out safety monitoring on the tailing dam body, and has the advantages of low labor cost, all-weather automatic monitoring, simple and easy operation of a monitoring method, simple data analysis, less error factors and higher detection precision.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic view of a tailing dam monitoring installation according to an embodiment of the invention;
FIG. 2 is a schematic view of a monitoring principle of a "guided wave meter" according to an embodiment of the present invention;
FIG. 3 is a diagram of the layout of a Sensor Highway II monitoring system in accordance with an embodiment of the present invention;
FIG. 4 is a graph of attenuation of a curved guided wave in a waveguide rod according to an embodiment of the present invention;
FIG. 5 is a graph showing the main frequency attenuation distribution of a bending guided wave in a guided wave meter according to an embodiment of the present invention;
FIG. 6 is a graph of a curved guided wave signal ringing count versus time profile according to an embodiment of the present invention;
FIG. 7 is a graph of energy versus time for a curved guided wave signal according to an embodiment of the present invention;
FIG. 8 is a graph of fractal dimension versus time for a curved guided wave signal in accordance with an embodiment of the present invention;
FIG. 9 is a graph of b-value versus time for a bending guided wave signal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a bending guided wave monitoring method for early warning of dam break of a tailing dam body, which can determine the change characteristics of the interior of the dam body by analyzing and researching received bending guided wave signals so as to achieve the aim of carrying out safety monitoring on the tailing dam body, and has the advantages of low labor cost, all-weather automatic monitoring, simple and easy operation of a monitoring method, simple data analysis, less error factors and higher detection precision.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a schematic view of monitoring and installing a tailing dam according to an embodiment of the present invention, and as shown in fig. 1, a bending guided wave monitoring method for early warning of dam break of a tailing reservoir dam body includes:
step 1: according to relevant regulations of technical Specifications for monitoring safety of tailings ponds (AQ2030-2010) and technical regulations for safety of tailings ponds (AQ2006-2005), the position of a monitoring point is determined along the span direction of the stacking dam 2 on the basis of fully analyzing existing engineering data and carrying out geological mapping investigation.
Step 2: and drilling holes at the monitoring points to embed the waveguide rod array.
1) Drilling and embedding a PVC pipe at the monitoring point, wherein the PVC pipe is sleeved with a water-permeable geotextile, is vertical to the top surface of the stacking dam, has an aperture of 75mm and a depth of 10-20m (determined according to conditions such as dam body design and tailing particle size);
2) selection of waveguide rod 4: the waveguide rod 4 is made of 304 stainless steel round steel, the diameter of the waveguide rod 4 is selected to be 20mm, and the density of the waveguide rod 4 is 7.93g/cm3The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.003Np/wl, the transverse wave attenuation coefficient is 0.008Np/wl, and the length of the waveguide rod is LRod＝LHole(s)+0.5，LHole(s)Is the vertical distance between the top surface of the dam and the top surface of the initial dam, the unit is: m;
3) determining the number N of waveguide rods 4: according to the requirements of 'technical standard for safety monitoring of tailings ponds' and 'monitoring standard for geotechnical engineering', the distance S between monitoring points is 5m-15m, and different hole distances are selected according to different geological conditions, namely the number N of waveguide rods is determined;
4) placing the waveguide rod 4 at the central position of the PVC pipe, filling steel balls 3 between the waveguide rod and the PVC pipe wall from the bottom of the PVC pipe, wherein the diameter of each steel ball 3 is 8mm, and the density of each steel ball 3 is 7.93g/cm3The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.003Np/wl, the transverse wave attenuation coefficient is 0.008Np/wl, and the steel ball is filled from the level height of the top surface of the initial dam to the opening;
5) the drill way is plugged tightly with rubber buffer 5, prevents the external noise interference, and the jam length is 0.1m, then will the PVC pipe is extracted.
And step 3: mounting of the bending guided wave sensor 6.
The waveguide rod 4 is exposed out of 0.5m on the ground surface, the bending guided wave sensor 6 is installed on the side part, the bending guided wave sensor 6 is covered by a metal protective cover, and the preamplifier adopts an AE2A model.
And 4, step 4: and establishing a signal acquisition base station.
The preamplifier is connected to a Sensor high way II monitoring system 10 which is powered by a solar storage battery, and a signal acquisition base station is established at a stable position near a tailing dam.
The signal acquisition base station is provided with a plurality of computers, the number of the computers is determined according to the number of monitoring points, each computer monitors partial monitoring points, the solar storage battery supplies power for the operation of the computer of the signal acquisition base station, AEwin software is installed on each computer, when the AEwin software is in operation acquisition, signals can be transmitted to the AEwin software of the computer from a Sensor end for storage, and the Sensor Highway II monitoring system 10 is only a general name formed by the above.
And 5: and (5) signal acquisition.
Under normal working conditions, a worker collects data once every two days to the signal collecting base station, and under the interference of rainfall or external operation, the worker collects data once every day to the signal collecting base station; under extreme weather or strong external operation disturbance, data are collected once by a signal collecting base station at an interval of one hour.
Step 6: and analyzing and processing the data.
1) Amplifying and filtering the collected sound wave electric signals through a signal processing module of the upper computer, performing analog-to-digital conversion on the sound wave voltage signals to generate data, and sending the data to a central processing unit of the upper computer after performing operation processing on the data;
2) the central processing unit of the upper computer draws a guided wave signal dynamic waveform diagram according to the processed data, and extracts a bending guided wave ringing counting characteristic parameter, a bending guided wave energy characteristic parameter, a bending guided wave fractal dimension characteristic parameter and a bending guided wave b value characteristic parameter from the guided wave signal dynamic waveform diagram by using a time domain waveform characteristic parameter analysis method;
and (3) bending guided wave ringing counting and energy characteristic analysis: in the time domain, the larger the ringing count and the energy value are, the more the dam body structure is unstable at the moment, the large-range rupture deformation occurs inside the dam body, and the dam break sign is generated; the ringing count and the energy value are lower, which indicates that the dam body structure at the moment is stable. Judging the stability condition of the dam body according to the variation trend of the ringing count and the energy parameter value in the time domain;
and (3) analyzing the fractal dimension characteristic of the bending guided wave parameters: fractal is a powerful means for describing local characteristics of things and describing a natural chaos phenomenon, and has self-similarity and scale invariance. The increase of the fractal dimension of the guided wave parameter in the dam break process of the tailing dam indicates that the order degree of the dam body is reduced, the decrease of the fractal dimension indicates that the order degree of the dam body is improved, and the actual change trend of the dam body is reflected by analyzing the change characteristics of the fractal dimension of the bent guided wave parameter.
B value characteristic analysis of bending guided wave: the b value is often used as a means for the failure process and mechanism change of research objects in the geotechnical field. When the value b is rapidly reduced, the large-scale penetration of the internal cracks of the material is shown, and the instability expansion state of the dam body is shown; the b value is fluctuated, which indicates that the micro-fracture state in the material is slowly developed, and the dam body is in a gradual stable expansion process; the b value is increased, which shows that the small-scale destruction proportion in the material is increased.
Inputting the ringing count characteristic parameter, the bending guided wave energy characteristic parameter, the fractal dimension characteristic parameter and the b-value characteristic parameter of the bending guided wave into Matlab software of an upper computer for simulation to obtain a bending guided wave ringing count-time distribution diagram, a bending guided wave energy-time distribution diagram, a bending guided wave signal fractal dimension-time curve diagram and a bending guided wave signal b-value-time curve diagram, thereby judging the stable state of the dam body.
In the step 6: (3) inputting the ringing count characteristic parameter, the bending guided wave energy characteristic parameter, the bending guided wave fractal dimension characteristic parameter and the bending guided wave b value characteristic parameter into Matlab software of an upper computer for simulation to obtain a bending guided wave ringing count-time distribution diagram, a bending guided wave energy-time distribution diagram, a bending guided wave signal fractal dimension-time curve diagram and a bending guided wave signal b value-time curve diagram, so as to judge the stable state of a dam body, and the method specifically comprises the following steps:
when the dam body is in the slip period, the bending guided wave ringing count is in an ascending trend, when the dam body is in the slip period, the bending guided wave ringing count is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave ringing count is in a descending trend;
when the dam body is in the slip period, the bending guided wave energy is in an ascending trend, when the dam body is in the slip period, the bending guided wave energy is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave energy is in a descending trend;
when the dam body is in the slip period, the bending guided wave fractal dimension is in an ascending trend, when the dam body is in the slip period, the bending guided wave fractal dimension is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave fractal dimension is in a descending trend;
when the dam body is in the slip period, the bending guided wave b value is in a descending trend, when the dam body is in the slip period, the bending guided wave b value is in a low-value fluctuation change, and when the dam body is in the slip to stable period, the bending guided wave b value is in an ascending trend.
A control system of a bending guided wave monitoring method for early warning of dam break of a dam body of a tailing reservoir comprises a PVC pipe, a waveguide rod, steel balls, a bending guided wave Sensor, a preamplifier, a signal acquisition base station and an upper computer, wherein the upper computer comprises a signal processing module and a central processor, the signal acquisition base station comprises a Sensor highwall II monitoring system, the PVC pipe is pre-embedded at a monitoring point, the waveguide rod is placed at the central position of the PVC pipe, the steel balls are filled between the waveguide rod and the wall of the PVC pipe from the bottom of the PVC pipe, the bending guided wave Sensor is installed at the top end of the waveguide rod and is connected to the Sensor highwall II monitoring system through the preamplifier, the Sensor highwall II monitoring system transmits acquired acoustic signals to the signal processing module for amplification and filtering processing, and the central processor carries out bending ringing characteristic parameters, and ringing characteristic parameters according to processed data, And the central processing unit inputs the extracted ringing count characteristic parameter of the bending guided wave, the energy characteristic parameter of the bending guided wave, the fractal dimension characteristic parameter of the bending guided wave and the b value characteristic parameter of the bending guided wave into Matlab software of the upper computer to draw a curve graph of the characteristic parameters changing along with time. The material of the waveguide rod is 304 stainless steel. The bending guided wave sensor is R6 alpha. The bending guided wave propagates axially along the waveguide rod and causes the rod end to vibrate radially so as to be monitored by the sensor. The preamplifier was used with model AE 2A. The Sensor Highway II monitoring system comprises a first wireless transmission device, the upper computer comprises a second wireless transmission device, and the Sensor Highway II monitoring system is connected with the upper computer in a wireless mode. The first wireless transmission device and the second wireless transmission device are one or more of a GPRS module, a Zigbee module, a Wifi module and an NFC communication module.
The microcosmic deformation of the interior of the dam body of the tailing pond cannot be observed visually, and when the interior of the dam body is deformed greatly, dam break is indicated to be imminent, and at the moment, preventive measures cannot be taken. According to the invention, by embedding the wave guide meter in the dam body, when the dam body has small deformation change, the wave guide meter is extruded, so that the friction collision between steel balls 3 and between the steel balls 3 and the waveguide rod 4 in the wave guide meter generates bending wave guide signals, and the monitored instrument acquires the signals. The method has the advantages that the problem that the stability of the dam body of the tailing dam cannot be directly monitored acoustically is solved by embedding the wave guide meter.
The bending guided wave signals in the guided wave meter are generated by the stability change of the dam body, so the change characteristics of different stages of the tailing dam are all stored in the bending guided wave signals. Through carrying out a series of data analysis on the bending guided wave signals, the stability condition of the dam body can be reflected by researching the change rule of the signals.
In order to verify the safety and feasibility of the 'guided wave meter' monitoring tailings dam, a dam break model test is carried out, a tailings dam body model is established according to an actual engineering example and a similar simulation principle, a waveguide rod 4 of the test is made of 304 stainless steel, the diameter of the waveguide rod is made of four scales of 14mm, 16mm, 18mm and 20mm, a steel ball 3 is made of 304 stainless steel, the diameter of the steel ball is made of four scales of 6mm, 8mm, 10mm and 12mm, and monitoring points are arranged according to the scheme shown in figure 1. And then loading the dam model through external force to enable the dam to gradually develop towards a destabilization state, and then monitoring the whole dam break process in real time through a monitoring system to obtain a bending guided wave signal.
Composition of "guided wave meter": the 'guided wave meter' is formed by combining a guide rod and a steel ball, and the 'guided wave meter' is optimized in size: based on the bending guided wave frequency dispersion equation in the formula (1) in the step 2, the four waveguide rods with the diameters are optimized, and the comparison analysis shows that the bending guided wave propagation attenuation of the waveguide rod 4 with the diameter of 20mm is the minimum, and the waveguide rod 4 with the diameter of 20mm is optimized to be the optimal diameter of the experiment; respectively combining the waveguide rod 4 with the optimal diameter of 20mm with steel balls 3 with the diameters of 6mm, 8mm, 10mm and 12mm, and drawing a main frequency signal attenuation distribution rule graph under different combinations; and selecting the steel ball 3 with the diameter of 8mm corresponding to the combination with concentrated main frequency signals and small attenuation as the optimal steel ball monitoring diameter according to the main frequency signal attenuation distribution rule graphs under different combinations, and obtaining the optimal dimension combination of the wave guide meter, namely a wave guide rod 4 with the diameter of 20mm and the steel ball 3 with the diameter of 8 mm. And carrying out data analysis on the dam break test signal monitored under the scale.
Fig. 2 is a schematic view of a monitoring principle of a "guided wave meter" in an embodiment of the present invention, as shown in fig. 2, when a dam body slips, a deformation extrusion force 8 is generated, a bending guided wave signal 9 is generated under the action of the deformation extrusion force 8, and the right side of fig. 2 is a propagation mode thereof. The method is characterized in that a 'guided wave meter' is embedded in a monitoring point position, a Sensor probe is installed on the exposed side of a waveguide rod in the 'guided wave meter', in the deformation change process of a dam body, deformation extrusion force 8 is generated by extrusion collision between steel balls in the 'guided wave meter' and between the steel balls and the waveguide rod, a bending guided wave signal 9 is generated under the action of the deformation extrusion force 8, the bending guided wave signal 9 is transmitted to a side bending guided wave Sensor 6 through the waveguide rod 4 and is collected by a Sensor Highway II monitoring system in a signal collection base station, and the stability condition of the dam body is judged according to the change characteristics of the signal through data analysis.
Fig. 3 shows the arrangement of a Sensor Highway ii monitoring system 10 according to an embodiment of the present invention, and as shown in fig. 3, a longitudinal wave signal Sensor 6 is connected to the Sensor Highway ii monitoring system 10 through a cable 11, the system is powered by a solar storage battery, and a signal acquisition base station is established at a stable position near a tailing dam.
Fig. 4 is a graph of attenuation curve of a bending guided wave in a waveguide rod according to an embodiment of the present invention, and as shown in fig. 4, a dispersion analysis:
when the bending guided wave propagates in the wave guide rod, the bending guided wave satisfies the formula (1)
J1(αr1)J1 2(βr1)(y1ξα 2+y2ξαξβ+y3ξβ+y4ξα+y5)＝0 (1)
In the formula:
y1＝2(β2r1 2-kr1 2)2
y2＝2β2r1 4(5k2+β2)
y3＝(β6-2β4k2+β2k4)r1 6-(10β4-2β2k2+4k4)r1 4
y4＝2β2r1 4(2β2k2r1 2-β2-9k2)
y5＝β2r1 4[-(β4+2β2k2+k2)r1 2+(8β2+8k2)]
ξx＝xJ0(x)/J1(x)
k is the wave number in the direction of the travelling wave, ω is the circular frequency of the wave, J0(x) And J1(x) Bessel functions of the first kind, zero and first order, respectively, cpAnd csThe wave velocities of longitudinal wave and transverse wave of the waveguide rod respectively, lambda and mu are the Lame constant of the free 304 steel waveguide rod respectively, r1Is the radius of the waveguide rod;
respectively drawing attenuation curves of the curved guided wave propagation of the waveguide rods with the diameters of 14mm, 16mm, 18mm and 20mm according to a formula (1), and selecting the waveguide rod with the diameter of 20mm with the minimum attenuation as the optimal waveguide rod monitoring diameter by comparing the change rule of the attenuation curves.
Fig. 5 is a main frequency attenuation distribution diagram of a bending guided wave waveform in a guided wave meter according to an embodiment of the present invention, as shown in fig. 5, 1) a waveguide rod 4 with an optimal diameter of 20mm is selected to be combined with steel balls 3 with diameters of 6mm, 8mm, 10mm, and 12mm, respectively, and main frequency signal attenuation distribution rule diagrams under different combinations are drawn; 2) and selecting the steel ball 3 with the diameter of 8mm corresponding to the combination with concentrated main frequency signals and small attenuation as the optimal steel ball monitoring diameter according to the main frequency signal attenuation distribution rule graphs under different combinations.
Fig. 6 and 7 are a distribution diagram of a ringing count-time and an energy-time of a bending guided wave signal, where, as shown in fig. 6 and 7, the ringing count and the magnitude of the energy value reflect the number and intensity of the bending guided wave signal at this time, and it can be obtained by combining the graph and the experimental process, when the dam is in a stable period, the ringing count and the energy value are small, that is, there is no bending guided wave signal at this stage; when the dam body is in a deformation period, ringing counting and energy numerical values are enhanced, namely, an obvious bending guided wave signal is generated in the period; when the dam body is in a slip period, ringing counts and energy values sharply increase, namely the bending guided wave signals generated in the stage are the strongest and the most; when the dam body is in the stage of slipping to a stable state, the ringing count and the energy value are reduced, namely the generated bending guided wave signals are reduced. The ringing count and the energy have different representations in different change stages of the dam body and can be used as an index for early warning the stability of the dam body.
Fig. 8 is a curve of fractal dimension-time curve of a bending guided wave signal according to an embodiment of the present invention, and it can be obtained by combining fig. 8 and an experimental process, where the fractal dimension is a process of first rising and then falling in the whole dam break change process of a dam body, and a maximum value of the fractal dimension appears in a dam body slip period. In the whole dam break process, the fractal dimension rises firstly and then falls, and the maximum value appears in the dam body slip period. The change characteristic can be used as an index for early warning the stability of the dam body.
Fig. 9 is a graph of b-value-time curve of a bending guided wave signal according to an embodiment of the present invention, and it can be obtained by combining fig. 9 and an experimental process that the b-value of the entire dam break process of the dam body exhibits a characteristic of "falling-fluctuating-rising", and before the slip period, the b-value exhibits a falling trend, and when the b-value of the dam body is in a low-value fluctuating change, the b-value of the dam body slips to a stable period, and the b-value of the dam body rises. The characteristic that the b values of the dam body in different dam break stages have different changes can be used as an index for early warning the stability of the dam body.
The invention provides a bending guided wave monitoring method for early warning of dam break of a tailing pond dam body, which is characterized in that a monitoring point of the dam body is determined on the basis of relevant standard regulations and engineering geological data, then a guided wave meter is embedded in the monitoring point, and a sensor probe is arranged on the exposed side of a waveguide rod in the guided wave meter. When the dam body deforms and changes, the steel balls in the wave guide meter and the steel balls and the wave guide rod are extruded and collided to generate bent wave guide signals, the signals are transmitted to the side sensor through the wave guide rod and collected by the base station instrument, and the stability condition of the dam body is judged according to the change characteristics of the signals through data analysis. The invention provides a bending guided wave monitoring method for early warning of dam break of a tailing dam body, which can determine the change characteristics of the interior of the dam body by analyzing and researching received bending guided wave signals so as to achieve the aim of carrying out safety monitoring on the tailing dam body, and has the advantages of low labor cost, all-weather automatic monitoring, simple and easy operation of a monitoring method, simple data analysis, less error factors and higher detection precision.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (5)
1. A bending guided wave monitoring method for early warning of dam break of a tailing reservoir dam body is characterized by comprising the following steps:
step 1: according to relevant regulations of technical Specifications for monitoring safety of tailings ponds (AQ2030-2010) and technical regulations for safety of tailings ponds (AQ2006-2005), determining the position of a monitoring point along the span direction of a stacking dam on the basis of fully analyzing existing engineering data and carrying out geological mapping investigation;
step 2: drilling and embedding a waveguide rod array at the monitoring point;
1) drilling and embedding a PVC pipe at the monitoring point, wherein the PVC pipe is sleeved with a water-permeable geotextile, is vertical to the top surface of the dam of the accumulation dam, and has an aperture of 75mm and a depth of 10-20 m;
2) selection of waveguide rodSelecting: the waveguide rod is made of 304 stainless steel round steel, the diameter of the waveguide rod is 20mm, and the density of the waveguide rod is 7.93g/cm3The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.003Np/wl, the transverse wave attenuation coefficient is 0.008Np/wl, and the length of the waveguide rod is LRod＝LHole(s)+0.5，LHole(s)Is the vertical distance between the top surface of the dam and the top surface of the initial dam, the unit is: m;
3) determining the number N of waveguide rods: according to the requirements of 'technical standard for safety monitoring of tailings ponds' and 'monitoring standard for geotechnical engineering', the distance S between monitoring points is 5m-15m, and different hole distances are selected according to different geological conditions, namely the number N of waveguide rods is determined;
4) placing the waveguide rod at the central position of the PVC pipe, filling steel balls between the waveguide rod and the PVC pipe wall from the bottom of the PVC pipe, wherein the diameter of each steel ball is 8mm, and the density of each steel ball is 7.93g/cm3The elastic modulus is 210GPa, the Poisson ratio is 0.3, the longitudinal wave attenuation coefficient is 0.003Np/wl, the transverse wave attenuation coefficient is 0.008Np/wl, and the steel ball is filled from the level height of the top surface of the initial dam to the opening;
5) the hole opening is tightly plugged by a rubber plug to prevent external noise interference, the plugging length is 0.1m, and then the PVC pipe is pulled out;
and step 3: mounting a bending guided wave sensor;
the waveguide rod is exposed out of the ground surface by 0.5m, a bending guided wave sensor is arranged on the side part of the waveguide rod, the bending guided wave sensor is covered by a metal protective cover, and the preamplifier adopts an AE2A model;
and 4, step 4: establishing a signal acquisition base station;
the preamplifier is connected to a Sensor high way II monitoring system, the system is powered by a solar storage battery, and a signal acquisition base station is established at a stable position near a tailing dam;
and 5: signal acquisition;
under normal working conditions, a worker collects data once every two days to the signal collecting base station, and under the interference of rainfall or external operation, the worker collects data once every day to the signal collecting base station; under extreme weather or strong external operation disturbance, acquiring data once by a signal acquisition base station at an interval of one hour;
step 6: analyzing the processed data;
1) amplifying and filtering the collected sound wave electric signals through a signal processing module of the upper computer, performing analog-to-digital conversion on the sound wave voltage signals to generate data, and sending the data to a central processing unit of the upper computer after performing operation processing on the data;
2) the central processing unit of the upper computer draws a guided wave signal dynamic waveform diagram according to the processed data, and extracts a bending guided wave ringing counting characteristic parameter, a bending guided wave energy characteristic parameter, a bending guided wave fractal dimension characteristic parameter and a bending guided wave b value characteristic parameter from the guided wave signal dynamic waveform diagram by using a time domain waveform characteristic parameter analysis method;
3) inputting the ringing count characteristic parameter, the bending guided wave energy characteristic parameter, the fractal dimension characteristic parameter and the b-value characteristic parameter of the bending guided wave into Matlab software of an upper computer for simulation to obtain a bending guided wave ringing count-time distribution diagram, a bending guided wave energy-time distribution diagram, a bending guided wave signal fractal dimension-time curve diagram and a bending guided wave signal b-value-time curve diagram, thereby judging the stable state of the dam body;
the diameter of the waveguide rod in the step 2 is selected to be 20mm, and the method specifically comprises the following steps:
1) frequency dispersion analysis
When the bending guided wave propagates in the wave guide rod, the bending guided wave satisfies the formula (1)
J1(αr1)J1 2(βr1)(y1ξα 2+y2ξαξβ+y3ξβ+y4ξα+y5)＝0 (1)
In the formula:
y1＝2(β2r1 2-kr1 2)2
y2＝2β2r1 4(5k2+β2)
y3＝(β6-2β4k2+β2k4)r1 6-(10β4-2β2k2+4k4)r1 4
y4＝2β2r1 4(2β2k2r1 2-β2-9k2)
y5＝β2r1 4[-(β4+2β2k2+k2)r1 2+(8β2+8k2)]
ξx＝xJ0(x)/J1(x)
k is the wave number in the direction of the travelling wave, ω is the circular frequency of the wave, J0(x) And J1(x) Bessel functions of the first kind, zero and first order, respectively, cpAnd csThe wave velocities of longitudinal wave and transverse wave of the waveguide rod respectively, lambda and mu are the Lame constant of the free 304 steel waveguide rod respectively, r1Is the waveguide rod radius;
2) drawing an attenuation curve of the bent guided wave propagation of the waveguide rod according to a formula (1), and selecting the waveguide rod with the minimum attenuation and the diameter of 20mm as an optimal waveguide rod monitoring diameter by comparing the change rule of the attenuation curve;
the diameter of steel ball selects for 8mm, specifically includes:
1) combining the waveguide rod with the optimal diameter of 20mm and the steel ball, and drawing a main frequency signal attenuation distribution rule graph under different combinations;
2) selecting steel balls with the diameters of 8mm corresponding to the combinations with concentrated main frequency signals and small attenuation as optimal steel ball monitoring diameters according to the main frequency signal attenuation distribution rule graphs under different combinations;
in the step 6: 3) inputting the ringing count characteristic parameter, the bending guided wave energy characteristic parameter, the bending guided wave fractal dimension characteristic parameter and the bending guided wave b value characteristic parameter into Matlab software of an upper computer for simulation to obtain a bending guided wave ringing count-time distribution diagram, a bending guided wave energy-time distribution diagram, a bending guided wave signal fractal dimension-time curve diagram and a bending guided wave signal b value-time curve diagram, so as to judge the stable state of a dam body, and the method specifically comprises the following steps:
when the dam body is in the slip period, the bending guided wave ringing count is in an ascending trend, when the dam body is in the slip period, the bending guided wave ringing count is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave ringing count is in a descending trend;
when the dam body is in the slip period, the bending guided wave energy is in an ascending trend, when the dam body is in the slip period, the bending guided wave energy is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave energy is in a descending trend;
when the dam body is in the slip period, the bending guided wave fractal dimension is in an ascending trend, when the dam body is in the slip period, the bending guided wave fractal dimension is in a maximum value, and when the dam body is in the slip period to the stable period, the bending guided wave fractal dimension is in a descending trend;
when the dam body is in the slip period, the bending guided wave b value is in a descending trend, when the dam body is in the slip period, the bending guided wave b value is in a low-value fluctuation change, and when the dam body is in the slip to stable period, the bending guided wave b value is in an ascending trend.
2. The control system of the bending guided wave monitoring method for the early warning of the dam break of the dam body of the tailing pond based on the claim 1 is characterized by comprising a PVC pipe, a wave guide rod, steel balls, a bending guided wave Sensor, a preamplifier, a signal acquisition base station and an upper computer, wherein the upper computer comprises a signal processing module and a central processing unit, the signal acquisition base station comprises a Sensor high way II monitoring system, the PVC pipe is pre-embedded at a monitoring point, the wave guide rod is placed at the central position of the PVC pipe, the steel balls are filled between the wave guide rod and the wall of the PVC pipe from the bottom of the PVC pipe, the bending guided wave Sensor is installed at the top end of the wave guide rod, the bending guided wave Sensor is connected to the Sensor high way II monitoring system through the preamplifier, the Sensor high way II monitoring system transmits acquired acoustic wave electric signals to the signal processing module for amplification and filtering processing, the central processing unit extracts a bending guided wave ringing counting characteristic parameter, a bending guided wave energy characteristic parameter, a bending guided wave fractal dimension characteristic parameter and a bending guided wave b value characteristic parameter according to the processed data, and the central processing unit inputs the extracted bending guided wave ringing counting characteristic parameter, the extracted bending guided wave energy characteristic parameter, the extracted bending guided wave fractal dimension characteristic parameter and the extracted bending guided wave b value characteristic parameter into Matlab software of the upper computer to draw a curve graph of the characteristic parameters along with the change of time;
the material selected by the wave guide rod is 304 stainless steel;
the preamplifier was used with model AE 2A.
3. The control system of the bending guided wave monitoring method for the early warning of the dam break of the tailings reservoir dam as claimed in claim 2, wherein the type of the bending guided wave sensor is R6 alpha.
4. The control system for the bending guided wave monitoring method for the early warning of the dam break of the tailing dam body according to claim 2, wherein the Sensor Highway II monitoring system comprises a first wireless transmission device, the upper computer comprises a second wireless transmission device, and the Sensor Highway II monitoring system is wirelessly connected with the upper computer.
5. The control system of the bending guided wave monitoring method for the early warning of the dam break of the tailing dam according to claim 4, wherein the first wireless transmission device and the second wireless transmission device are one or more of a GPRS module, a Zigbee module, a Wifi module and an NFC module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910541712.7A CN110243946B (en) | 2019-06-21 | 2019-06-21 | Bending guided wave monitoring method for early warning of dam break of tailing reservoir dam body |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910541712.7A CN110243946B (en) | 2019-06-21 | 2019-06-21 | Bending guided wave monitoring method for early warning of dam break of tailing reservoir dam body |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110243946A CN110243946A (en) | 2019-09-17 |
| CN110243946B true CN110243946B (en) | 2021-07-06 |
Family
ID=67888596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910541712.7A Active CN110243946B (en) | 2019-06-21 | 2019-06-21 | Bending guided wave monitoring method for early warning of dam break of tailing reservoir dam body |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110243946B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112326788A (en) * | 2020-10-23 | 2021-02-05 | 江西理工大学 | Monitoring and early warning method and system for instability of tailing dam |
| CN113218839B (en) * | 2021-04-27 | 2022-07-12 | 江西理工大学 | Monitoring method, device and system for permeation destruction phenomenon of tailing pond |
| CN115342760B (en) * | 2022-07-22 | 2023-05-16 | 江西理工大学 | Landslide early warning method, system, terminal and storage medium for dumping site |
| CN116295649B (en) * | 2023-03-24 | 2024-02-27 | 广东省源天工程有限公司 | Water conservancy monitoring system of flood discharge gate chute section |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1645040A (en) * | 2005-01-20 | 2005-07-27 | 上海交通大学 | Planar light waveguide measuring apparatus for micro-displacement |
| CN102509433A (en) * | 2011-10-31 | 2012-06-20 | 中国瑞林工程技术有限公司 | Tailing pond numerical simulation and on-line monitoring integral emergency early-warning system |
| CN105971027A (en) * | 2016-05-30 | 2016-09-28 | 江西理工大学 | Acoustic emission monitoring method used for recognizing rock slope glide plane |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0103032B1 (en) * | 1982-09-09 | 1988-03-02 | General Electric Company | Semiconductor optocoupler |
| EP1335763A2 (en) * | 2000-11-13 | 2003-08-20 | Amir Belson | Improved hemodialysis treatment apparatus and method |
-
2019
- 2019-06-21 CN CN201910541712.7A patent/CN110243946B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1645040A (en) * | 2005-01-20 | 2005-07-27 | 上海交通大学 | Planar light waveguide measuring apparatus for micro-displacement |
| CN102509433A (en) * | 2011-10-31 | 2012-06-20 | 中国瑞林工程技术有限公司 | Tailing pond numerical simulation and on-line monitoring integral emergency early-warning system |
| CN105971027A (en) * | 2016-05-30 | 2016-09-28 | 江西理工大学 | Acoustic emission monitoring method used for recognizing rock slope glide plane |
Non-Patent Citations (3)
| Title |
|---|
| 基于波导杆监测边坡破坏的声发射特性模拟试验研究;李刚;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20180115;第二章、第三章 * |
| 尾矿坝安全研究方法综述;刘迪等;《西安建筑科技大学学报（自然科学版）》;20171228;910-918 * |
| 超声导波检测技术的发展与应用现状;曲志刚;《天津科技大学学报》;20170831;1-6页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110243946A (en) | 2019-09-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110220978B (en) | Longitudinal guided wave monitoring method for early warning of dam break of tailing reservoir dam body | |
| CN110243946B (en) | Bending guided wave monitoring method for early warning of dam break of tailing reservoir dam body | |
| CN103743441B (en) | The polynary of a kind of side slope safety is coupling in line monitoring system and method | |
| KR100903949B1 (en) | Method for predicting failure of geotechnical structure | |
| CN101942987B (en) | Simple sonic logger detection, calibration and ruling method | |
| CN106767476B (en) | Slope stability monitoring and landslide early warning forecasting method based on all-fiber sensing network | |
| CN109239768B (en) | Method for testing loosening ring and damage degree of blasting surrounding rock | |
| US9010176B2 (en) | Scour sensor and method of using same | |
| WO2010086584A2 (en) | Apparatus and method for monitoring soil slope displacement rate by detecting acoustic emissions | |
| CN102021919A (en) | Foundation pit wireless monitoring and alarming device and monitoring method | |
| CN204556049U (en) | A kind of device utilizing differential pressure pick-up to monitor concreting position | |
| CN207233163U (en) | A kind of mountain flood and geological disaster early warning system | |
| CN109470775B (en) | Soil landslide infrasound signal identification and field monitoring device and method | |
| CN112071028A (en) | Monitoring and early warning method and device for shallow landslide | |
| CN104048640A (en) | Intelligent landslide catastrophe monitoring method based on L-type liquid metal antennas | |
| CN113108732B (en) | Guided wave monitoring method for slope landslide early warning | |
| CN206772282U (en) | Offshore wind power foundation absolute settlement monitoring device | |
| CN202120410U (en) | Multichannel broken-line monitoring early warning device for debris flow | |
| Smith et al. | Listening for deterioration and failure: towards smart geotechnical infrastructure | |
| Smith et al. | Inclinometer casings retrofitted with acoustic real-time monitoring systems | |
| CN113793070B (en) | Water conservancy planning construction assessment method | |
| CN112797929B (en) | Rock-soil mass deformation monitoring device and method | |
| CN103196599A (en) | System and method for monitoring soil body inner stress variation of loess field under soaking condition | |
| Pan et al. | Review of monitoring and early warning technologies for cover-collapse sinkholes | |
| CN203203574U (en) | Water seal effect monitoring and controlling device used for water seal underground oil storage cave depot |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |