CN116052399A - Slope type geological disaster monitoring method, device, equipment and medium - Google Patents
Slope type geological disaster monitoring method, device, equipment and medium Download PDFInfo
- Publication number
- CN116052399A CN116052399A CN202310030301.8A CN202310030301A CN116052399A CN 116052399 A CN116052399 A CN 116052399A CN 202310030301 A CN202310030301 A CN 202310030301A CN 116052399 A CN116052399 A CN 116052399A
- Authority
- CN
- China
- Prior art keywords
- slope
- information
- monitoring
- geological disaster
- displacement
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 117
- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000001514 detection method Methods 0.000 claims abstract description 106
- 238000006073 displacement reaction Methods 0.000 claims abstract description 68
- 230000001133 acceleration Effects 0.000 claims abstract description 57
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 9
- 238000012806 monitoring device Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 16
- 238000004088 simulation Methods 0.000 claims description 11
- 230000009467 reduction Effects 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 239000002689 soil Substances 0.000 description 7
- 230000008859 change Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 230000005484 gravity Effects 0.000 description 4
- 230000003068 static effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 239000000853 adhesive Substances 0.000 description 2
- 230000001070 adhesive effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000033001 locomotion Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 108050006002 RNA polymerase sigma factor FliA Proteins 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000005422 blasting Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000002301 combined effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
Abstract
The application discloses a slope type geological disaster monitoring method, device, equipment and medium, wherein the slope type geological disaster monitoring method comprises the following steps: monitoring and collecting first index information of a detection point at a toe in real time, wherein the first index information comprises acceleration information and inclination angle information; carrying out modal analysis on the acceleration information to obtain the natural frequency of the slope; integrating the acceleration information and combining a time domain displacement algorithm to obtain displacement information of a detection point; and carrying out geological disaster monitoring and early warning on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information. According to the slope type geological disaster monitoring method, the slope is subjected to multi-angle geological disaster monitoring and early warning through the acceleration information, the inclination angle information, the natural frequency and the displacement information, so that the timeliness and the accuracy of the geological disaster monitoring and early warning are improved.
Description
Technical Field
The invention relates to the technical field of geological disasters, in particular to a slope type geological disaster monitoring method, device, equipment and medium.
Background
The slope is the result of the combined effects of internal and external forces, geological and ergonomic activities. However, after the slope is formed, the slope is under the transformation function of the three materials. Even if a slope is formed which is stable in the early stage, the slope stability is gradually changed under the action of long-term wind, gravity and rainfall along with the time, and a dangerous slope is possibly formed by instability, namely the slope is in a state of continuous deformation and damage. The form of the deformation damage of the slope is complex and various, no matter how the slope is damaged, the root cause of the deformation damage is structural variation of the rock-soil body.
At present, the slope and collapse disasters are affected by internal factors such as the strength of a rock-soil body and the mechanical condition of a structural surface, and are also related to various external triggering factors such as rainfall, earthquake, blasting and the like, so that the early warning difficulty of the geological disasters is relatively high. Therefore, compared with a single monitoring and early warning method, the method can cause the problems of low early warning timeliness and low accuracy of geological disaster monitoring and early warning.
Disclosure of Invention
The embodiment of the invention provides a slope geological disaster monitoring method, device, equipment and medium, which are used for solving or partially solving the problems that the early warning timeliness and the accuracy of geological disaster monitoring and early warning are low as compared with a single monitoring and early warning method.
A method for monitoring a slope-like geological disaster, comprising:
monitoring and collecting first index information of a detection point at a toe in real time, wherein the first index information comprises acceleration information and inclination angle information;
performing modal analysis on the acceleration information to acquire the natural frequency of a slope;
integrating the acceleration information and combining a time domain displacement algorithm to obtain displacement information of the detection point;
and carrying out geological disaster monitoring and early warning on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
A ramp-like geological disaster monitoring device, comprising:
the first index information acquisition module is used for monitoring and acquiring first index information of a detection point at the toe of a slope in real time, wherein the first index information comprises acceleration information and inclination angle information;
the natural frequency acquisition module is used for carrying out modal analysis on the acceleration information to acquire the natural frequency of the slope;
the displacement information acquisition module is used for carrying out integral operation on the acceleration information and combining a time domain displacement algorithm to acquire the displacement information of the detection point;
and the geological disaster monitoring and early warning module is used for monitoring and early warning the geological disaster on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
The slope geological disaster monitoring device is also used for establishing a numerical simulation model, and a plurality of detection points are established at the positions of the slope top, the slope waist and the slope foot on the numerical simulation model; respectively monitoring and collecting second index information of the detection points, wherein the second index information comprises displacement information, displacement difference information and inclination angle information; and analyzing the second index information through a reduction coefficient, and determining an optimal detection point as the detection point at the toe.
In some embodiments, the first index information acquisition module is further configured to create a plurality of first detection points at a top of a slope, a waist of a slope, and a toe of a slope, where adjacent first detection points have equal intervals and are on the same straight line; and respectively creating second detection points at the top, the waist and the toe of the slope, wherein the second detection points are out of the straight line.
In some embodiments, the geological disaster monitoring and early warning module is further configured to generate a corresponding graph based on the acceleration information, the inclination angle information, the natural frequency and the displacement information; and sending geological disaster monitoring and early warning information to the corresponding user side by analyzing the abnormal data information in the chart.
The slope geological disaster monitoring device is also used for monitoring and collecting time vibration signals of detection points at the toe of the slope in real time; based on the time vibration signal, obtaining a vibration amplitude; and acquiring an absolute average value of vibration based on the vibration amplitude.
The slope geological disaster monitoring device is also used for acquiring a vibration variance and a variation coefficient based on the vibration absolute mean value; based on the vibration variance and the variation coefficient, obtaining a kurtosis index; and acquiring impact energy based on the kurtosis index.
The slope geological disaster monitoring device is also used for monitoring and collecting first index information of a detection point at the top of the slope in real time; and/or, monitoring and collecting the first index information of the detection point at the sloping waist in real time.
An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the ramp-like geological disaster monitoring method described above when executing the computer program.
A computer readable medium storing a computer program which when executed by a processor implements the ramp-like geological disaster monitoring method described above.
According to the slope type geological disaster monitoring method, device, equipment and medium, the slope is subjected to multi-angle geological disaster monitoring and early warning through the acceleration information, the inclination angle information, the natural frequency and the displacement information, so that the timeliness and the accuracy of the geological disaster monitoring and early warning are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram illustrating an application environment of a slope geological disaster monitoring method according to an embodiment of the invention;
FIG. 2 is a first flowchart of a method for monitoring a slope-like geological disaster according to a first embodiment of the present invention;
FIG. 3 is a diagram showing the slope stress and the movement acceleration of the slope geological disaster monitoring method according to the second embodiment of the present invention;
FIG. 4 is a graph showing a slope geological disaster graph of a slope geological disaster monitoring method according to a third embodiment of the present invention;
FIG. 5 is a schematic diagram of a model arrow diagram and monitoring point positions of a method for monitoring a slope-like geological disaster according to a fourth embodiment of the present invention;
FIG. 6 is a graph showing displacement information, displacement variance information and inclination angle information of a slope-like geological disaster monitoring method according to a fifth embodiment of the present invention;
FIG. 7 is a graph showing vibration history at a certain time of a slope-like geological disaster monitoring method according to a fifth embodiment of the present invention;
FIG. 8 is a second flowchart of a method for monitoring a slope-like geological disaster according to a second embodiment of the present invention;
FIG. 9 is a schematic diagram of a slope-like geological disaster monitoring device according to an embodiment of the invention;
fig. 10 is a schematic diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The slope type geological disaster monitoring method provided by the embodiment of the invention can be applied to an application environment as shown in fig. 1, and is applied to a slope type geological disaster monitoring system, wherein the slope type geological disaster monitoring system comprises a client and a server, and the client communicates with the server through a network. The client is also called a client, and refers to a program corresponding to a server and providing local services for the client. Further, the client is a computer-side program, an APP program of the intelligent device or a third party applet embedded with other APP. The client may be installed on, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices, and other electronic devices. The server may be implemented as a stand-alone server or as a server cluster composed of a plurality of servers.
In an embodiment, as shown in fig. 2, a method for monitoring a slope geological disaster is provided, and the method is applied to the server in fig. 1 for illustration, and specifically includes the following steps:
s100, monitoring and collecting first index information of a detection point at a toe in real time, wherein the first index information comprises acceleration information and inclination angle information.
In this embodiment, for an object with static equilibrium, the obvious characteristic of instability may be sudden change of acceleration, so that monitoring the indexes such as acceleration may well reflect the change of the actual stress state of the object. Simplifying the unstable slope into a point-connected sphere, and when the sphere is balanced under the action of gravity, the sphere receives gravity F G Adhesive force F c Pressure F N Is in a static state; the ball being subjected to gravity F G Adhesive force F c External force Sigma F n When in the balance state, the sphere is static; when the ball body is impacted by the instantaneous external force in the balance state, the object can generate instantaneous acceleration so as to generate micro-motion change of dynamic parameters. As shown in fig. 3. The displacement of the slope is generated when the slope is damaged and slides in a large scale, and the early warning is possibly not reached. The vibration characteristic parameters such as the vibration frequency of the slope and the like have obvious inflection points, and early warning of slope damage can be realized through monitoring the vibration frequency of the slope.
Specifically, a user sets a detection point at a slope toe of a slope, and a server monitors and collects acceleration information and inclination information of the detection point at the slope toe at high frequency, wherein the inclination information can be obtained by an inclination formula of an inclination angle alpha:
wherein the acceleration vector of the normal state (i.e. the initial state of the tilt angle) is known +>
Acceleration vector after deformation->
S200, carrying out modal analysis on the acceleration information to acquire the natural frequency of the slope.
In this embodiment, the mode refers to the natural vibration characteristic of the slope. When the slope is excited by the outside to generate motion, natural vibration occurs at a specific frequency, wherein the specific frequency is called the natural frequency of the structure, and a plurality of natural frequencies are usually the natural properties of the slope. When the internal structure of the slope changes, the natural frequency of the slope inevitably changes. After the vibration acceleration of the slope is acquired through high frequency, the acceleration data is subjected to modal analysis, the natural frequency of the rock-soil body in the slope is identified, and whether structural variation occurs in the slope can be directly judged through the analysis of the natural frequency, so that warning and early warning of slope damage are realized. Meanwhile, a series of indexes such as deformation modulus, porosity, water content and the like of the rock-soil body can be reversely calculated through the natural frequency. As shown in fig. 4.
Specifically, the server performs modal analysis on the acceleration information to acquire the natural frequency of the slope.
S300, integrating operation is carried out on the acceleration information, and a time domain displacement algorithm is combined to obtain displacement information of the detection point.
In this embodiment, the method corresponds to a device including, but not limited to, a MEMS acceleration sensor. The original acceleration acquired by the MEMS acceleration sensor is preprocessed to obtain accurate acceleration signal data, and then displacement data is obtained through integral operation and a time domain displacement correction algorithm.
In addition, the acceleration a (t) of the displacement S over time t is linked by v (t). From time t according to the principle of integration 0 By time t n The algorithm of the displacement S of (c) is:
wherein v (t) =v 0 +a(t)t。
S400, monitoring and early warning geological disasters on the slope based on acceleration information, inclination angle information, natural frequency and displacement information.
Specifically, the server monitors and pre-warns the geological disasters of the slope through acquisition and multi-angle analysis of acceleration information, inclination angle information, natural frequency and displacement information.
In addition, the equipment corresponding to the method has the integrated design of acquisition, transmission and power supply, the design and use period is short, and the monitoring precision can meet the actual requirements of ground disaster monitoring. The method has the advantages of high frequency, high precision and low power consumption, can realize early recognition early warning of slope damage and early warning of disaster, and provides powerful guarantee for emergency avoidance measures.
According to the slope type geological disaster monitoring method, the slope is subjected to multi-angle geological disaster monitoring and early warning through the acceleration information, the inclination angle information, the natural frequency and the displacement information, so that the timeliness and the accuracy of geological disaster monitoring and early warning are improved, and the problems that the timeliness and the accuracy of the early warning of geological disaster monitoring and early warning are low possibly caused by a relatively single monitoring and early warning method are solved or partially solved.
In one embodiment, as shown in fig. 8, before step S100, that is, before monitoring and collecting the first index information of the detection point at the toe in real time, the method specifically includes the following steps:
s110, establishing a numerical simulation model, and establishing a plurality of detection points at the positions of the slope top, the slope waist and the slope foot on the numerical simulation model.
The detection points comprise a first detection point and a second detection point; in step S110, steps S111 and S112 are specifically included:
s111, respectively creating a plurality of first detection points at the positions of the slope top, the slope waist and the slope toe, wherein the distances between adjacent first detection points are equal, and the first detection points are on the same straight line.
S112, respectively creating second detection points at the positions of the slope top, the slope waist and the slope toe, wherein the second detection points are out of the straight line.
S120, respectively monitoring and collecting second index information of the detection points, wherein the second index information comprises displacement information, displacement difference information and inclination angle information.
S130, analyzing the second index information through the reduction coefficient, and determining that the optimal detection point is the detection point at the toe.
The method comprises the steps of establishing a numerical simulation model, and establishing a plurality of detection points at the positions of a slope top, a slope waist and a slope foot on the numerical simulation model. And respectively creating a plurality of first detection points at the positions of the slope top, the slope waist and the slope toe, wherein the distances between adjacent first detection points are equal, and the first detection points are on the same straight line (the straight line where the Y-axis direction is). And respectively creating second detection points at the positions of the slope top, the slope waist and the slope toe, wherein the second detection points are out of the straight line. The method is characterized in that second index information of detection points is respectively monitored and collected, the second index information is used as an X-axis variable, the second index information is used as a Y-axis variable to analyze the detection points at the top, the waist and the toe of a slope, and finally, the optimal detection point is determined to be the detection point at the toe of the slope.
Specifically, the method adopts a homogeneous soil slope calculation example in an FLCA3D user manual to establish a FLAC3D model, considers the elastoplasticity characteristics of soil mass, and adopts a Mohr-coulomb strength criterion which obeys an associated flow rule, wherein the slope model is shown in figure 5.
The method examines the non-coordination of the displacement of the rock and soil mass of the slope surface with different depths, and arranges 15 detection points (detection points) at the positions of the slope top, the slope waist and the slope foot respectively, taking the slope top as an example, arranges the detection point 11 at the position of the slope top, arranges the detection points 12, 13 and 14 at each interval of 0.05m in the Y-axis transverse direction, arranges the detection point 10 at the position of 1m right below the detection point 11, and similarly, arranges 5 detection points at the positions of the slope waist and the slope foot respectively. Taking a slope top as an example, the method monitors physical quantities respectively: displacement of a slope top measuring point 11, displacement difference between the measuring points 10 and 11, included angle-dip angle between sagittal diameter and Z-axis forward direction starting from the measuring points 10 and 11, and circumferential direction of each measuring point of the slope top taking the measuring point 10 as sagittal diameter starting point (0 degree for Y-axis direction and positive for clockwise direction). The naming mode of the physical quantity measured by the slope waist and the slope toe is consistent with that of the slope top.
The change trend of the displacement and displacement difference of the slope top, the slope waist and the slope toe along with the increase of the reduction coefficient ks is shown in fig. 6, the slope top, the slope waist and the slope toe all have different sliding amplitudes along with the increase of the reduction coefficient, the sliding quantity is that the slope top is larger than the slope waist and larger than the slope toe, the displacement quantity of three measuring points is different, but the increasing trend of the displacement quantity of each measuring point along with the increase of the reduction coefficient is consistent, and when the reduction coefficient is a certain value, the displacement and the displacement difference of each measuring point are suddenly increased. At this time, the displacement of the slope surface of each part is the largest, the sliding quantity of the slope waist and the slope top is more than 0.045m, and the displacement of the slope toe is only 0.006m. Comparing the displacement differences of the slope top, the slope waist and the slope toe shows that the displacement difference variation of the slope toe is maximum although the displacement of the slope toe is minimum, so that the slope surface space rotation situation variation at the slope toe position is more obvious, and the optimal detection point is determined to be the detection point at the slope toe.
In addition, taking the "measuring point-1" as an example, as shown in fig. 6, when the reduction coefficient is gradually increased, the gradient at the toe can be far higher than the gradient at the top and the waist, and the effect of measuring the vertical gradient at the toe is better on landslide monitoring. Compared with other measuring points, the inclination angle variation in the 'measuring point-1' diagram is far larger than the measuring points of other parts. Therefore, under the condition that the optimal position of the measurement inclination angle is determined to be the toe, the initial offset angle of the slope meter measuring point in the transverse direction (Y axis) should be as small as possible, so that the measurement effect is better.
The steps S110 to S130 are used for establishing a model, detecting the detection point and collecting corresponding data information, and determining that the optimal detection point is the detection point at the toe of the slope through analysis, so that the monitoring effect is better.
In one embodiment, as shown in fig. 8, in step S400, that is, in performing geological disaster monitoring and early warning on a slope based on acceleration information, inclination angle information, natural frequency and displacement information, the method specifically includes the following steps:
s401, generating a corresponding chart based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
S402, sending geological disaster monitoring and early warning information to the corresponding user side by analyzing abnormal data information in the chart.
Specifically, the server obtains acceleration information, inclination angle information, natural frequency and displacement information and then generates a corresponding chart. The server sends geological disaster monitoring and early warning information to the corresponding user side by analyzing abnormal data information (such as large fluctuation change, obvious inflection points, abrupt increment or decrement and the like) in the chart. In which a plurality of information such as acceleration information, inclination angle information, natural frequency and displacement information can be displayed in one chart.
The steps S401 to S402 have the function that the server generates the corresponding chart and can be displayed on the user side, so that the user can conveniently check and analyze the data, and meanwhile, geological disaster monitoring and early warning information is sent to the corresponding user side, so that the user can be conveniently informed of the monitoring situation in time, and timeliness in the monitoring and early warning process is improved.
In an embodiment, as shown in fig. 8, a method for monitoring a slope geological disaster is provided, and specifically further includes the following steps:
s500, monitoring and collecting time vibration signals of detection points at the toe of the slope in real time.
S510, based on the time vibration signal, obtaining the vibration amplitude.
S520, based on the vibration amplitude, obtaining the absolute average value of vibration.
After step S520, i.e. after obtaining the absolute mean value of the vibration based on the vibration amplitude, the method specifically further comprises the following steps: s600, based on the absolute mean value of vibration, obtaining a vibration variance and a variation coefficient.
S610, obtaining a kurtosis index based on the vibration variance and the variation coefficient.
S620, obtaining impact energy based on the kurtosis index.
Specifically, the server monitors and collects time vibration signals of detection points at the toe in real time, generates a corresponding vibration waveform diagram, analyzes the vibration waveform diagram, and acquires various time domain dynamic indexes such as vibration amplitude, vibration absolute mean value, vibration variance, variation coefficient, kurtosis index and the like. Wherein the vibration amplitude x p The formula of (1) is x p ＝max|x i |，x i Is the vibration speed at a certain moment. The larger the vibration amplitude is, the more unstable the slope is, and the danger is prone to be caused; otherwise, the safety is promoted. Absolute mean value x of vibration av Is that
N is the number of samples monitored, and when the average value is larger, the higher the vibration energy of the slope is indicated, and the worse the slope stability is indicated. Vibration variance D x Is->
Coefficient of variation K v Is->
If the variation coefficient is larger, the time domain vibration signal has larger discrete type, which possibly indicates that the slope stability degree is changed, and the slope tends to be dangerous. Kurtosis index beta is->
The kurtosis index is sensitive to periodic impact signals, so that the index can be used for analyzing impact energy E in rock mass vibration of a slope at a certain moment i . Impact energy E i Is->
And c is a conversion coefficient, the reciprocal of the maximum kurtosis index can be taken, and the impact energy can provide a reference for monitoring and early warning analysis of slope geological disasters.
The steps S500 to S620 have the effects that the method is used for assisting in monitoring and early warning of slope geological disasters by acquiring and analyzing various time domain dynamic indexes such as vibration amplitude, vibration absolute mean value, vibration variance, variation coefficient, kurtosis index and the like, so that the monitoring and early warning are more accurate.
In an embodiment, as shown in fig. 8, after step S100, that is, after monitoring and collecting the first index information of the detection point at the toe in real time, the method specifically further includes the following steps:
s140, monitoring and collecting first index information of a detection point at the top of the slope in real time.
S150, and/or monitoring and collecting first index information of the detection point at the sloping waist in real time.
Specifically, the server monitors and collects the first index information of the detection point at the toe of the slope in real time, and also monitors and collects the first index information of the detection point at the top of the slope and/or at the waist of the slope in real time.
According to the slope type geological disaster monitoring method, the slope is subjected to multi-angle geological disaster monitoring and early warning through the acceleration information, the inclination angle information, the natural frequency and the displacement information, so that the timeliness and the accuracy of the geological disaster monitoring and early warning are improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
In an embodiment, a slope-type geological disaster monitoring device is provided, where the slope-type geological disaster monitoring device corresponds to the slope-type geological disaster monitoring method in the above embodiment one by one. As shown in fig. 9, the slope-type geological disaster monitoring device includes a first index information acquisition module 10, a natural frequency acquisition module 20, a displacement information acquisition module 30 and a geological disaster monitoring and early warning module 40. The functional modules are described in detail as follows:
the first index information acquisition module 10 is configured to monitor and acquire first index information of a detection point at a toe in real time, where the first index information includes acceleration information and inclination angle information.
The natural frequency acquisition module 20 is configured to perform modal analysis on the acceleration information, and acquire a natural frequency of the slope.
The displacement information obtaining module 30 is configured to integrate the acceleration information and obtain displacement information of the detection point by combining a time domain displacement algorithm.
The geological disaster monitoring and early warning module 40 is used for performing geological disaster monitoring and early warning on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
Slope class geological disaster monitoring devices still includes:
the detection point creation module is used for creating a numerical simulation model and creating a plurality of detection points at the positions of the slope top, the slope waist and the slope feet on the numerical simulation model.
The second index information monitoring module is used for respectively monitoring and collecting second index information of the detection points, wherein the second index information comprises displacement information, displacement difference information and inclination angle information.
And the optimal detection point determining module is used for analyzing the second index information through the reduction coefficient and determining that the optimal detection point is the detection point at the toe of the slope.
The detection point creation module further includes:
the first detection point creation submodule is used for respectively creating a plurality of first detection points at the positions of the slope top, the slope waist and the slope toe, wherein the distances between adjacent first detection points are equal, and the first detection points are on the same straight line.
The second detection point creation submodule is used for respectively creating second detection points at the positions of the slope top, the slope waist and the slope toe, and the second detection points are out of the straight line.
Geological disaster monitoring and early warning module still includes:
and the chart generation sub-module is used for generating a corresponding chart based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
And the sending sub-module is used for sending geological disaster monitoring and early warning information to the corresponding user side by analyzing the abnormal data information in the chart.
Slope class geological disaster monitoring devices still includes:
and the time vibration signal acquisition module is used for monitoring and acquiring the time vibration signal of the detection point at the toe of the slope in real time.
And the vibration amplitude acquisition module is used for acquiring the vibration amplitude based on the time vibration signal.
The vibration absolute average value acquisition module is used for acquiring the vibration absolute average value based on the vibration amplitude.
Slope class geological disaster monitoring devices still includes:
and the vibration variance and variation coefficient acquisition module is used for acquiring the vibration variance and variation coefficient based on the vibration absolute mean value.
And the kurtosis index acquisition module is used for acquiring the kurtosis index based on the vibration variance and the variation coefficient.
And the impact energy acquisition module is used for acquiring impact energy based on the kurtosis index.
Slope class geological disaster monitoring devices still includes:
the detection point acquisition module at the slope top is used for monitoring and acquiring first index information of the detection point at the slope top in real time.
The detection point acquisition module at the sloping waist monitors and acquires first index information of the detection point at the sloping waist in real time.
According to the slope type geological disaster monitoring device, the slope is subjected to multi-angle geological disaster monitoring and early warning through the acceleration information, the inclination angle information, the natural frequency and the displacement information, so that the timeliness and the accuracy of the geological disaster monitoring and early warning are improved.
For specific limitations of the slope-type geological disaster monitoring device, reference may be made to the above limitation of the slope-type geological disaster monitoring method, and the description thereof will not be repeated here. The modules in the slope type geological disaster monitoring device can be realized in whole or in part through software, hardware and a combination thereof. The above modules may be embedded in hardware or independent of a processor in the electronic device, or may be stored in software in a memory in the electronic device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, an electronic device is provided, which may be a server, and an internal structure thereof may be as shown in fig. 10. The electronic device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a non-volatile medium, an internal memory. The non-volatile medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile media. The database of the electronic equipment is used for data related to the slope geological disaster monitoring method. The network interface of the electronic device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a ramp-like geological disaster monitoring method.
In an embodiment, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the computer program to implement the ramp-like geological disaster monitoring method according to the above embodiment, for example, S10 to S40 shown in fig. 2. Alternatively, the processor, when executing the computer program, performs the functions of the modules/units of the slope-like geological disaster monitoring device in the above embodiments, such as the functions of the modules 10 to 40 shown in fig. 9. To avoid repetition, no further description is provided here.
In one embodiment, a computer readable medium is provided, on which a computer program is stored, which when executed by a processor implements the ramp-like geological disaster monitoring method of the above embodiment, for example, S10 to S40 shown in fig. 2. Alternatively, the computer program, when executed by the processor, performs the functions of the modules/units of the ramp-like geologic hazard monitoring apparatus of the above-described apparatus embodiments, such as the functions of modules 10-40 of fig. 9. To avoid repetition, no further description is provided here.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable medium that when executed comprises the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments of the present application may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will 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 invention, and are intended to be included in the scope of the present invention.
Claims (10)
1. A method for monitoring a slope-like geological disaster, comprising:
monitoring and collecting first index information of a detection point at a toe in real time, wherein the first index information comprises acceleration information and inclination angle information;
performing modal analysis on the acceleration information to acquire the natural frequency of a slope;
integrating the acceleration information and combining a time domain displacement algorithm to obtain displacement information of the detection point;
and carrying out geological disaster monitoring and early warning on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
2. The method for monitoring a slope-like geological disaster according to claim 1, wherein before said monitoring and collecting in real time the first index information of the detection point at the toe of the slope, further comprising:
establishing a numerical simulation model, and establishing a plurality of detection points at the positions of a slope top, a slope waist and a slope foot on the numerical simulation model;
respectively monitoring and collecting second index information of the detection points, wherein the second index information comprises displacement information, displacement difference information and inclination angle information;
and analyzing the second index information through a reduction coefficient, and determining an optimal detection point as the detection point at the toe.
3. The method for monitoring a slope-like geological disaster according to claim 2, wherein,
the detection points comprise a first detection point and a second detection point; the creating a plurality of detection points at the slope top, the slope waist and the slope toe on the numerical simulation model comprises the following steps:
respectively creating a plurality of first detection points at the positions of a slope top, a slope waist and a slope toe, wherein the distances between adjacent first detection points are equal, and the first detection points are on the same straight line;
and respectively creating second detection points at the top, the waist and the toe of the slope, wherein the second detection points are out of the straight line.
4. The method for monitoring a geological disaster of the slope type according to claim 1, wherein,
the monitoring and early warning of geological disasters are carried out on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information, and the monitoring and early warning of geological disasters comprise the following steps:
generating a corresponding chart based on the acceleration information, the inclination angle information, the natural frequency and the displacement information;
and sending geological disaster monitoring and early warning information to the corresponding user side by analyzing the abnormal data information in the chart.
5. The method for monitoring a slope-like geological disaster according to claim 1, further comprising:
monitoring and collecting time vibration signals of detection points at the toe of a slope in real time;
based on the time vibration signal, obtaining a vibration amplitude;
and acquiring an absolute average value of vibration based on the vibration amplitude.
6. The method for monitoring a slope-like geological disaster according to claim 5, wherein after said obtaining an absolute average value of vibration based on said vibration amplitude, further comprising:
based on the vibration absolute mean value, obtaining a vibration variance and a variation coefficient;
based on the vibration variance and the variation coefficient, obtaining a kurtosis index;
and acquiring impact energy based on the kurtosis index.
7. The method for monitoring the slope-like geological disaster according to claim 1, wherein after the first index information of the detection point at the toe is monitored and collected in real time, further comprising:
monitoring and collecting first index information of a detection point at the top of a slope in real time;
and/or, monitoring and collecting the first index information of the detection point at the sloping waist in real time.
8. A slope-like geological disaster monitoring device, comprising:
the first index information acquisition module is used for monitoring and acquiring first index information of a detection point at the toe of a slope in real time, wherein the first index information comprises acceleration information and inclination angle information;
the natural frequency acquisition module is used for carrying out modal analysis on the acceleration information to acquire the natural frequency of the slope;
the displacement information acquisition module is used for carrying out integral operation on the acceleration information and combining a time domain displacement algorithm to acquire the displacement information of the detection point;
and the geological disaster monitoring and early warning module is used for monitoring and early warning the geological disaster on the slope based on the acceleration information, the inclination angle information, the natural frequency and the displacement information.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the ramp-like geological disaster monitoring method according to any one of claims 1 to 7 when executing the computer program.
10. A computer readable medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the ramp-like geological disaster monitoring method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310030301.8A CN116052399B (en) | 2023-01-10 | 2023-01-10 | Slope type geological disaster monitoring method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310030301.8A CN116052399B (en) | 2023-01-10 | 2023-01-10 | Slope type geological disaster monitoring method, device, equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116052399A true CN116052399A (en) | 2023-05-02 |
| CN116052399B CN116052399B (en) | 2024-02-06 |
Family
ID=86112880
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310030301.8A Active CN116052399B (en) | 2023-01-10 | 2023-01-10 | Slope type geological disaster monitoring method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116052399B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103424099A (en) * | 2013-08-26 | 2013-12-04 | 招商局重庆交通科研设计院有限公司 | Slope monitoring and early warning system and method based on deformation data |
| JP2015108888A (en) * | 2013-12-03 | 2015-06-11 | 有限会社 ジオテック | Local collapse risk notifying service providing apparatus, providing method for the same, and medium for use in apparatus operating computer |
| CN112130175A (en) * | 2020-09-21 | 2020-12-25 | 中国地质环境监测院 | Geological monitoring system and method |
| CN112509284A (en) * | 2020-10-29 | 2021-03-16 | 石家庄铁道大学 | Geological disaster monitoring and early warning method and device and terminal equipment |
| CN112560135A (en) * | 2020-11-30 | 2021-03-26 | 北京中关村智连安全科学研究院有限公司 | Rock mass collapse early warning method based on impact energy index |
| CN114495429A (en) * | 2021-12-23 | 2022-05-13 | 北京中关村智连安全科学研究院有限公司 | Early warning method and system for collapse disaster |
-
2023
- 2023-01-10 CN CN202310030301.8A patent/CN116052399B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103424099A (en) * | 2013-08-26 | 2013-12-04 | 招商局重庆交通科研设计院有限公司 | Slope monitoring and early warning system and method based on deformation data |
| JP2015108888A (en) * | 2013-12-03 | 2015-06-11 | 有限会社 ジオテック | Local collapse risk notifying service providing apparatus, providing method for the same, and medium for use in apparatus operating computer |
| CN112130175A (en) * | 2020-09-21 | 2020-12-25 | 中国地质环境监测院 | Geological monitoring system and method |
| CN112509284A (en) * | 2020-10-29 | 2021-03-16 | 石家庄铁道大学 | Geological disaster monitoring and early warning method and device and terminal equipment |
| CN112560135A (en) * | 2020-11-30 | 2021-03-26 | 北京中关村智连安全科学研究院有限公司 | Rock mass collapse early warning method based on impact energy index |
| CN114495429A (en) * | 2021-12-23 | 2022-05-13 | 北京中关村智连安全科学研究院有限公司 | Early warning method and system for collapse disaster |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116052399B (en) | 2024-02-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhou et al. | Use it free: Instantly knowing your phone attitude | |
| CN102292025B (en) | Determining energy expenditure of a user | |
| US9599634B2 (en) | System and method for calibrating inertial measurement units | |
| CN107092759B (en) | Dam displacement monitoring point optimal arrangement method based on gravity dam foundation parameter inversion | |
| EP1862765A1 (en) | Method and wrist device | |
| JP2012503194A (en) | How to process measurements from accelerometers | |
| WO2009101566A1 (en) | Compensating pressure sensor measurements | |
| CN111852463B (en) | Gas well productivity evaluation method and equipment | |
| US20220022604A1 (en) | Receiving feedback based on pressure sensor data and movement data | |
| CN109893111B (en) | Dynamic blood pressure measurement mode selection method and device | |
| US20220260609A1 (en) | Determination device, determination method, and program recording medium | |
| CN111707294B (en) | Pedestrian navigation zero-speed interval detection method and device based on optimal interval estimation | |
| Ibrahim et al. | Accuracy limits of embedded smart device accelerometer sensors | |
| CN116052399B (en) | Slope type geological disaster monitoring method, device, equipment and medium | |
| CN113221371B (en) | Method and device for determining critical sliding surface of side slope and terminal equipment | |
| JP2016161463A (en) | Liquefaction strength curve generation method and program | |
| JP6108830B2 (en) | Portable information device, program and method capable of evaluating walking stability | |
| JPWO2014185027A1 (en) | Offset estimation apparatus, offset estimation method, and program | |
| EP3113134B1 (en) | A user fatigue level analysis component | |
| US9244538B2 (en) | Using portable electronic devices for user input | |
| JP2012135375A (en) | Activity meter | |
| CN110749336A (en) | Pedometer step counting correction method and device and non-temporary computer readable storage medium | |
| CN103505195A (en) | Method and device for measuring human body pulse and mobile terminal | |
| EP4115803A1 (en) | Fall risk determination system and method | |
| KR101441815B1 (en) | Method and apparatus for measuring exercise amount and exercise machine using the same |
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 |