Monitoring Sampling Device and Method for Geological Disaster Slope Treatment

Abstract

The present application provides a monitoring and sampling device and method for geological disaster slope treatment. By determining all the transmitted signals collected, the attenuation gradient of ultrasonic waves in the soil between each group of adjacent detection nodes is determined. Furthermore, based on all the attenuation gradients, multiple horizontal displacement amounts during sampling of the sampler in the slope are determined. According to the proportion of velocity anomalies in all the collected rising velocities, multiple vertical displacement amounts during sampling of the sampler in the slope are determined. Based on the spatial positions corresponding to each horizontal displacement amount and each vertical displacement amount in the slope, all the horizontal displacement amounts and all the vertical displacement amounts are associated and fused, and then multiple confidence sampling points during sampling of the sampler in the slope are obtained. Sampling is controlled in the slope through each confidence sampling point. By adopting the solution of the present application, confidence sampling of the soil inside the slope can be carried out, and the naturalness of the internal structure of the slope can be maintained.

Description

Technical Field

[0001] This application relates to the technical field of monitoring and sampling, and in particular, this application relates to a monitoring and sampling device and method for geological disaster slope treatment. Background Art

[0002] Monitoring and sampling refers to the process of extracting samples from the objects to be detected according to certain technical standards and specifications in the fields of environmental monitoring, water quality detection, air monitoring, soil monitoring, etc. This process is a key link to ensure environmental quality and evaluate the impact of pollution sources on the environment. By collecting key environmental samples, the types, concentrations, and distributions of pollutants can be revealed, providing a scientific basis for pollution prevention and management.

[0003] Monitoring and sampling for geological disaster slope treatment refers to a series of sampling and monitoring activities carried out during slope treatment to understand geological structures, soil layer distributions, groundwater conditions, etc. These activities include geological exploration, hydrological monitoring, surface deformation monitoring, stress monitoring, and groundwater monitoring, etc. In traditional monitoring and sampling, only enough soil samples are collected at the designated sampling locations for testing. Sometimes, in order to make the test data more accurate, more sampling locations are designated, which may damage the internal structure of the slope, making the originally harmless slope become dangerous due to sampling. Therefore, how to conduct confidence sampling on the soil inside the slope and maintain the naturalness of the internal structure of the slope has become a difficult problem faced by the industry. Summary of the Invention

[0004] Based on this, this application provides a monitoring and sampling device and method for geological disaster slope treatment that can achieve confidence sampling of the soil inside the slope.

[0005] In the first aspect, this application provides a monitoring and sampling method for geological disaster slope treatment, which is used to control a monitoring and sampling device to conduct sampling. The monitoring and sampling device includes: an intelligent detector and a sampler, and the method includes the following steps:

[0006] Set detection nodes at equal intervals inside the slope and insert intelligent detectors simultaneously. The intelligent detector includes: an ultrasonic sensor and a speed sensor;

[0007] Automatically collect the transmitted ultrasonic signals in the horizontal direction during the process of inserting the intelligent detector into the slope through the ultrasonic sensor, and determine the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes according to all the collected transmitted signals;

[0008] Based on all the attenuation gradients, determine multiple horizontal displacement amounts when the sampler in the slope takes samples. Control the speed sensor to collect the speed of the intelligent detector during the ascending process in the slope at a specified frequency, and determine multiple vertical displacement amounts when the sampler in the slope takes samples according to the proportion of speed anomalies in all the collected ascending speeds;

[0009] Based on the spatial positions corresponding to each horizontal displacement amount and each vertical displacement amount in the slope, perform correlation fusion on all the horizontal displacement amounts and all the vertical displacement amounts, and then obtain multiple confidence sampling points when the sampler in the slope takes samples;

[0010] Control the sampler to take samples in the slope through each confidence sampling point.

[0011] In some embodiments, determining the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes according to all the transmitted signals specifically includes:

[0012] Select two adjacent detection nodes from all the detection nodes as a group of adjacent detection nodes;

[0013] Extract all the transmitted signals corresponding to this group of adjacent detection nodes from all the transmitted signals;

[0014] Determine the amplitude attenuation amount of each transmitted signal according to the initial amplitude of ultrasonic waves, the real-time amplitude of ultrasonic waves, and the propagation distance of ultrasonic waves in each transmitted signal;

[0015] Determine the attenuation gradient of ultrasonic waves propagating in the soil between this group of adjacent detection nodes according to all the amplitude attenuation amounts;

[0016] Continue to determine the attenuation gradient of ultrasonic waves propagating in the soil between the remaining groups of adjacent detection nodes.

[0017] In some embodiments, determining the amplitude attenuation amount of each transmitted signal according to the initial amplitude of ultrasonic waves, the real-time amplitude of ultrasonic waves, and the propagation distance of ultrasonic waves in each transmitted signal specifically includes:

[0018] Select one transmitted signal as the selected transmitted signal;

[0019] Obtain the difference between the initial amplitude of ultrasonic waves and the real-time amplitude of ultrasonic waves in the selected transmitted signal;

[0020] Divide the difference by the propagation distance of ultrasonic waves in the selected transmitted signal, and use the quotient obtained by the division as the amplitude attenuation amount of the selected transmitted signal;

[0021] Continue to determine the amplitude attenuation amounts of the remaining transmitted signals.

[0022] In some embodiments, determining multiple horizontal displacement amounts during sampling by the sampler within the slope based on all attenuation gradients specifically includes:

[0023] Obtain a preset attenuation gradient threshold;

[0024] Select one attenuation gradient from all the attenuation gradients as the selected attenuation gradient, and compare the selected attenuation gradient with the attenuation gradient threshold;

[0025] If the selected attenuation gradient is greater than the attenuation gradient threshold, determine the horizontal displacement amount during sampling by the sampler within the slope according to all the amplitude attenuation amounts in the adjacent detection nodes corresponding to the selected attenuation gradient;

[0026] If the selected attenuation gradient is less than or equal to the attenuation gradient threshold, do not process;

[0027] Continue to compare the remaining attenuation gradients with the attenuation gradient threshold to obtain multiple horizontal displacement amounts during sampling by the sampler within the slope.

[0028] In some embodiments, determining multiple vertical displacement amounts during sampling by the sampler within the slope according to the proportion of velocity anomalies among all the rising velocities specifically includes:

[0029] Select one detection node as the selected detection node;

[0030] Obtain all the rising velocities of the selected detection node;

[0031] Determine multiple abnormal velocities among all the rising velocities;

[0032] Based on all the abnormal velocities and all the rising velocities, determine the proportion of velocity anomalies of the selected detection node;

[0033] When the proportion of velocity anomalies is greater than the preset proportion threshold, obtain the rising velocities corresponding to each abnormal velocity, and use the distance between the position when each rising velocity is collected within the slope and the ground surface as the vertical displacement amount corresponding to the selected detection node during sampling by the sampler within the slope;

[0034] Continue to determine the vertical displacement amounts corresponding to the remaining detection nodes during sampling by the sampler within the slope.

[0035] In some embodiments, associatively fusing all the horizontal displacement amounts and all the vertical displacement amounts based on the spatial positions corresponding to each horizontal displacement amount and each vertical displacement amount within the slope, and then obtaining multiple confidence sampling points during sampling by the sampler within the slope specifically includes:

[0036] Correlate all the horizontal displacement amounts and all the vertical displacement amounts based on their corresponding spatial positions within the slope to obtain multiple correlated displacement amounts;

[0037] Obtain the spatial position coordinates of each correlated displacement amount within the slope;

[0038] Perform clustering processing on all the spatial position coordinates to obtain multiple clusters of spatial position coordinates;

[0039] Fuse all the spatial position coordinates in each cluster of spatial position coordinates into the confidence sampling points corresponding to each cluster of spatial position coordinates when the sampler in the slope takes samples.

[0040] In some embodiments, the ultrasonic sensor is a bistable ultrasonic sensor.

[0041] In a second aspect, the present application provides a monitoring and sampling device for geological disaster slope treatment. The monitoring and sampling device includes: an intelligent detector, a sampler, and a sampling control unit. Detection nodes are arranged at equal intervals within the slope, and the intelligent detector is inserted simultaneously. The intelligent detector includes: an ultrasonic sensor and a speed sensor. The sampling control unit includes:

[0042] A determination module, configured to automatically collect the transmission signals of ultrasonic waves in the horizontal direction during the process of inserting the intelligent detector into the slope through the ultrasonic sensor, and determine the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes based on all the collected transmission signals;

[0043] A processing module, configured to determine multiple horizontal displacement amounts when the sampler in the slope takes samples based on all the attenuation gradients, control the speed sensor to collect the speed of the intelligent detector during the ascending process in the slope at a specified frequency, and determine multiple vertical displacement amounts when the sampler in the slope takes samples based on the proportion of speed anomalies in all the collected ascending speeds;

[0044] The processing module is further configured to perform correlation fusion on all the horizontal displacement amounts and all the vertical displacement amounts based on their corresponding spatial positions within the slope, so as to obtain multiple confidence sampling points when the sampler in the slope takes samples;

[0045] An execution module, configured to control the sampler to take samples within the slope through each confidence sampling point.

[0046] In a third aspect, the present application provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned monitoring and sampling method for geological disaster slope treatment are implemented.

[0047] Fourthly, the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned monitoring and sampling method for geological disaster slope treatment are implemented.

[0048] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects:

[0049] In the monitoring and sampling device and method for geological disaster slope treatment provided by the present application, detection nodes are arranged at equal intervals in the slope, and intelligent detectors are inserted simultaneously. The intelligent detectors include: ultrasonic sensors and velocity sensors; the ultrasonic sensors automatically collect the transmitted ultrasonic signals in the horizontal direction during the process of inserting the intelligent detectors into the slope, and determine the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes according to all the collected transmitted signals; based on all the attenuation gradients, multiple horizontal displacement amounts during sampling by the sampler in the slope are determined, and the velocity sensors are controlled to collect the velocities of the intelligent detectors during the ascending process in the slope at a specified frequency, and multiple vertical displacement amounts during sampling by the sampler in the slope are determined according to the proportion of abnormal velocities in all the collected ascending velocities; all the horizontal displacement amounts and all the vertical displacement amounts are associated and fused based on the spatial positions corresponding to the horizontal displacement amounts and the vertical displacement amounts in the slope, and then multiple confidence sampling points during sampling by the sampler in the slope are obtained; the sampler is controlled to sample in the slope through each confidence sampling point.

[0050] It can be seen that in this application, first, detection nodes are set at equal intervals in the slope, and intelligent detectors are inserted at the same time. The intelligent detectors are smaller and thinner than the samplers, thus reducing the damage to the internal structure of the slope. Second, the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes is determined through all the collected transmission signals. The attenuation gradient is a parameter value that measures the attenuation difference degree in the vertical direction when ultrasonic waves propagate in the soil between adjacent detection nodes. The consistency of the water content at different depths in the soil can be judged through the attenuation gradient, that is: the larger the attenuation gradient, the greater the difference in the water content at different depths in the soil; the smaller the attenuation gradient, the smaller the difference in the water content at different depths in the soil. Furthermore, based on all the attenuation gradients, multiple horizontal displacement amounts when the sampler in the slope takes samples are determined. Then, multiple vertical displacement amounts when the sampler in the slope takes samples are determined according to the proportion of speed anomalies among all the collected rising speeds. Among them, the proportion of speed anomalies is a parameter value that measures the proportion of rising speed anomalies in the detection nodes, and the degree of chaos of the water content at different depths at the detection nodes can be reflected through the proportion of speed anomalies, and whether the water content in the soil at the detection nodes is consistent is judged, so as to determine whether to take samples. Finally, all the horizontal displacement amounts and all the vertical displacement amounts are associated and fused based on the corresponding spatial positions of each horizontal displacement amount and each vertical displacement amount in the slope, and the sampling locations and sampling ranges in the slope can be planned more accurately, thereby reducing the number of sampling times, and then controlling the sampler to take samples in the slope through each confidence sampling point. In summary, the technical solution of this application can perform confidence sampling on the soil inside the slope and maintain the naturalness of the internal structure of the slope. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic flowchart of a monitoring and sampling method for geological disaster slope treatment in some embodiments of this application;

[0052] Figure 2 It is a working principle diagram of an ultrasonic sensor in some embodiments of this application;

[0053] Figure 3 It is a schematic flowchart of determining the attenuation gradient in some embodiments of this application;

[0054] Figure 4 It is a schematic structural diagram of a sampling control unit in some embodiments of this application;

[0055] Figure 5 It is an internal structural diagram of a computer device in some embodiments of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] To better understand the technical solution of this application, the technical solution of this application will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0057] Referring to Figure 1 , this figure is an exemplary flowchart of a monitoring sampling method for geological disaster slope treatment shown in some embodiments of this application. The monitoring sampling method 100 for geological disaster slope treatment mainly includes the following steps:

[0058] In step 101, detection nodes are arranged at equal intervals within the slope, and intelligent detectors are inserted simultaneously. The intelligent detectors include: ultrasonic sensors and velocity sensors.

[0059] In specific implementation, the detection nodes can be arranged at equal intervals within the slope according to a preset distance. This distance can be preset according to the actual length and width of the slope. For example: on the aerial view of the slope, the actual slope length is 27 meters and the width is 9 meters, then the detection nodes are arranged at equal intervals from left to right and from back to front within the slope at a distance of 3 meters (that is, there are 4 rows of detection nodes, and each row has 10 detection nodes). In other embodiments, other methods can also be used to preset the distance, which will not be elaborated here.

[0060] It should be noted that referring to Figure 2 shown, this figure is the working principle diagram of the ultrasonic sensor in some embodiments of this application. The ultrasonic sensor includes an ultrasonic transmitter and an ultrasonic receiver. Among them, the ultrasonic wave emitted by the ultrasonic generator at one detection node passes through the obstacle and is received by the ultrasonic receiver at the adjacent detection node.

[0061] In addition, it should also be noted that the ultrasonic sensor in this application is a bistable ultrasonic sensor.

[0062] In step 102, the ultrasonic transmission signals in the horizontal direction during the process of inserting the intelligent detector into the slope are automatically collected by the ultrasonic sensor, and the attenuation gradient of the ultrasonic wave propagation in the soil between each group of adjacent detection nodes is determined according to all the collected transmission signals.

[0063] In specific implementation, the transmitted signal refers to the signal generated after ultrasonic waves pass through the soil between adjacent detection nodes. The transmitted signal includes the initial ultrasonic amplitude, the real-time ultrasonic amplitude, and the ultrasonic propagation distance. Among them, the initial ultrasonic amplitude is the amplitude when the ultrasonic transmitter initially sends ultrasonic waves, the real-time ultrasonic amplitude is the amplitude obtained when the ultrasonic waves are received by the ultrasonic receiver at the adjacent detection node after propagating in the soil, and the ultrasonic propagation distance is the distance between adjacent detection nodes. As a preferred embodiment, the automatic acquisition of the transmitted signal of ultrasonic waves in the horizontal direction during the insertion of the intelligent detector into the slope by the ultrasonic sensor can be achieved in the following manner: during the insertion of the detection sensor into the slope, the ultrasonic sensor can be controlled to automatically collect the transmitted signal of ultrasonic waves in the horizontal direction once at different depths during the insertion of the detection sensor into the slope according to actual needs, and multiple transmitted signals can be obtained. For example, when high measurement accuracy is required, the ultrasonic sensor can be controlled to automatically collect the transmitted signal of ultrasonic waves in the horizontal direction once when it penetrates 0.5 meters during the insertion of the detection sensor into the slope; when medium measurement accuracy is required, the ultrasonic sensor can be controlled to automatically collect the transmitted signal of ultrasonic waves in the horizontal direction once when it penetrates 1 meter during the insertion of the detection sensor into the slope; when low measurement accuracy is required, the ultrasonic sensor can be controlled to automatically collect the transmitted signal of ultrasonic waves in the horizontal direction once when it penetrates 3 meters during the insertion of the detection sensor into the slope. In other embodiments, the ultrasonic sensor can also be controlled to automatically collect the transmitted signal of ultrasonic waves in the horizontal direction once at different depths during the insertion of the detection sensor into the slope according to other situations, which is not limited here.

[0064] It should be noted that in this application, ultrasonic waves are sent at the same frequency, and the frequency range is generally 500 KHz to 1 MHz. The frequency of ultrasonic waves can be specifically set according to actual needs, which is not limited here.

[0065] In some embodiments, refer to Figure 3 As shown, this figure is a schematic flowchart of the process for determining the attenuation gradient in some embodiments of this application. In this embodiment, the following steps can be used to determine the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes based on all the collected transmitted signals:

[0066] In step 1021, two adjacent detection nodes are selected from all the detection nodes as a group of adjacent detection nodes;

[0067] In step 1022, all the transmitted signals corresponding to this group of adjacent detection nodes are extracted from all the transmitted signals;

[0068] In step 1023, the amplitude attenuation amount of each transmitted signal is determined according to the initial ultrasonic amplitude, the real-time ultrasonic amplitude, and the ultrasonic propagation distance in each transmitted signal;

[0069] In step 1024, the attenuation gradient of ultrasonic waves propagating in the soil between this group of adjacent detection nodes is determined according to all the amplitude attenuation amounts;

[0070] In step 1025, continue to determine the attenuation gradient of ultrasonic waves propagating in the soil between the remaining groups of adjacent detection nodes.

[0071] Among them, in specific implementation, the amplitude attenuation amount of each transmission signal can be determined according to the initial amplitude of ultrasonic waves, the real-time amplitude of ultrasonic waves, and the propagation distance of ultrasonic waves in each transmission signal, which can be implemented by the following method, that is:

[0072] Select a transmission signal as the selected transmission signal;

[0073] Obtain the difference between the initial amplitude of ultrasonic waves and the real-time amplitude of ultrasonic waves in the selected transmission signal;

[0074] Divide the difference by the propagation distance of ultrasonic waves in the selected transmission signal, and use the quotient obtained by division as the amplitude attenuation amount of the selected transmission signal;

[0075] Continue to determine the amplitude attenuation amounts of the remaining transmission signals.

[0076] It should be noted that the amplitude attenuation amount is a parameter value indicating the attenuation degree of ultrasonic waves propagating in the soil between adjacent detection nodes.

[0077] In addition, in specific implementation, the attenuation gradient of ultrasonic waves propagating in the soil between this group of adjacent detection nodes can be determined according to all the amplitude attenuation amounts, which can be implemented by the following method, that is: First, all the amplitude attenuation amounts can be sorted in descending order according to the sequence of corresponding time. Then, obtain the difference between every two adjacent amplitude attenuation amounts. Finally, divide the sum of all the differences by the total number of amplitude attenuation amounts to obtain the attenuation gradient of ultrasonic waves propagating in the soil between this group of adjacent detection nodes. Among them, the attenuation gradient is a parameter value measuring the attenuation difference degree in the vertical direction when ultrasonic waves propagate between adjacent detection nodes in the soil. It can be used to judge whether the moisture content at different depths in the soil is consistent, that is: the greater the attenuation gradient, the greater the difference in moisture content at different depths in the soil; the smaller the attenuation gradient, the smaller the difference in moisture content at different depths in the soil.

[0078] It should be noted that in this application, the acquisition time of the transmission signal corresponding to the amplitude attenuation amount is used as the time corresponding to the amplitude attenuation amount.

[0079] In addition, it should be noted that in this application, two adjacent detection nodes that have not been selected are continuously selected from all the detection nodes as a new set of adjacent detection nodes, and the steps from all the extracted transmission signals to determining the attenuation gradient of ultrasonic waves propagating in the soil between adjacent detection nodes are repeated, so as to obtain the attenuation gradient of ultrasonic waves propagating in the soil between the remaining sets of adjacent detection nodes.

[0080] In step 103, based on all the attenuation gradients, multiple horizontal displacement amounts when the sampler in the slope takes samples are determined. The speed sensor is controlled at a specified frequency to collect the speed of the intelligent detector during the ascending process in the slope, and multiple vertical displacement amounts when the sampler in the slope takes samples are determined according to the proportion of speed anomalies in all the collected ascending speeds.

[0081] In some embodiments, determining multiple horizontal displacement amounts when the sampler in the slope takes samples based on all the attenuation gradients can be implemented by the following steps:

[0082] Obtain a preset attenuation gradient threshold;

[0083] Select an attenuation gradient from all the attenuation gradients as the selected attenuation gradient, and compare the selected attenuation gradient with the attenuation gradient threshold;

[0084] If the selected attenuation gradient is greater than the attenuation gradient threshold, determine the horizontal displacement amount when the sampler in the slope takes samples according to all the amplitude attenuation amounts in the adjacent detection nodes corresponding to the selected attenuation gradient;

[0085] If the selected attenuation gradient is less than or equal to the attenuation gradient threshold, no processing is performed;

[0086] Continue to compare the remaining attenuation gradients with the attenuation gradient threshold to obtain multiple horizontal displacement amounts when the sampler in the slope takes samples.

[0087] Specifically, when implemented, the attenuation gradient threshold is the judgment threshold of the attenuation gradient. By comparing the attenuation gradient threshold with the attenuation gradient, it can be judged whether the water content at different depths in the soil corresponding to the attenuation gradient is consistent, so as to further determine the sampling points. As a preferred embodiment, the attenuation gradient threshold can be set by combining an intelligent algorithm with historical sampling data. For example, the sampling results, attenuation gradients, attenuation gradient thresholds, etc. in the historical sampling data are input into the intelligent algorithm model, and then the attenuation gradient threshold is set according to the output results. In other embodiments, the attenuation gradient threshold can also be set in combination with the opinions of relevant experts. In other embodiments, other methods can also be used for setting, which is not limited here.

[0088] In addition, during specific implementation, the horizontal displacement amount of the sampler in the slope when sampling can be determined according to all the amplitude attenuation amounts in adjacent detection nodes corresponding to the selected attenuation gradient, which can be implemented in the following manner: select an amplitude attenuation amount as the selected amplitude attenuation amount, compare the selected amplitude attenuation amount with a preset amplitude attenuation threshold. If the selected amplitude attenuation amount is greater than the preset amplitude attenuation threshold, then when collecting the transmitted signal corresponding to the selected amplitude attenuation amount, the horizontal distance between the spatial position where the transmitted signal is collected and the initial spatial position of the sampler is used as the horizontal displacement amount corresponding to the selected amplitude attenuation amount when the sampler in the slope samples, and continue to determine the horizontal displacement amount corresponding to the remaining amplitude attenuation amounts when the sampler in the slope samples; wherein, the amplitude attenuation threshold can be set by relevant experts in combination with historical sampling results and historical amplitude attenuation thresholds. In other embodiments, other methods can also be used for implementation, which is not limited herein.

[0089] It should be noted that the horizontal displacement amount in this application refers to the displacement distance in the horizontal direction when the sampler samples in the slope.

[0090] In addition, it should also be noted that in this application, the initial position of the sampler is obtained, and then the initial position of the sampler is used as the origin of the spatial coordinate system (i.e., the spatial coordinate of the sampler is (0, 0, 0)), and a spatial rectangular coordinate system is established with the length of the slope as the X-axis, the width of the slope as the Y-axis, and the depth of the slope as the Z-axis; when collecting the transmitted signal, the spatial position coordinate corresponding to the spatial position where the transmitted signal is collected is used as the spatial position coordinate of the transmitted signal (where the spatial position where the transmitted signal is collected can be the spatial position corresponding to the detection node closer to the sampler among the corresponding two detection nodes. In other embodiments, it can also be set as the spatial position of the midpoint of the two detection nodes corresponding to the spatial position where the transmitted signal is collected, which is not limited herein); when collecting the rising speed, the spatial position coordinate corresponding to the spatial position where the rising speed is collected is used as the spatial position coordinate of the rising speed; wherein, one transmitted signal corresponds to one spatial position coordinate, and one rising speed corresponds to one spatial position coordinate.

[0091] During specific implementation, controlling the speed sensor to collect the speed of the intelligent detector during the rising process in the slope according to a specified frequency can be implemented in the following manner: for each detection node, the speed sensor collects the speed of the detection sensor during each rising process in the slope every one-meter rise distance, and all the collected speeds are used as the rising speed. In other embodiments, the specified frequency can also be set according to actual requirements, which is not limited herein.

[0092] It should be noted that the rising speed in this application refers to the speed at which the detector rises in the slope under the same power.

[0093] In addition, it should be noted that during the upward movement of the detection sensor in the slope in this application, the power device maintains the same power to lift the detection sensor. When lifting the detection sensor with the same power, if soils with different viscosities are encountered, the upward speed will also be different, and the higher the viscosity of the soil, the less likely it is to slide. Therefore, the possibility of landslide can be reflected by the difference in the upward speed.

[0094] In some embodiments, determining multiple vertical displacement amounts when the sampler in the slope takes samples according to the proportion of abnormal speeds among all the collected upward speeds can be achieved by the following steps:

[0095] Select a detection node as the selected detection node;

[0096] Obtain all the upward speeds of the selected detection node;

[0097] Determine multiple abnormal speeds among all the upward speeds;

[0098] Based on all the abnormal speeds and all the upward speeds, determine the proportion of abnormal speeds of the selected detection node;

[0099] When the proportion of abnormal speeds is greater than the preset proportion threshold, obtain the upward speeds corresponding to each abnormal speed, and take the distance between the position where each upward speed is collected in the slope and the ground surface as the vertical displacement amount corresponding to the selected detection node when the sampler in the slope takes samples;

[0100] Continue to determine the vertical displacement amounts corresponding to the remaining detection nodes when the sampler in the slope takes samples.

[0101] Specifically, when implementing, determining multiple abnormal speeds among all the upward speeds can be achieved by the following method: compare all the upward speeds with the preset upward speed threshold, extract all the upward speeds greater than the preset upward speed threshold, and regard all the extracted upward speeds as abnormal speeds; where the upward speed threshold is the judgment threshold for determining whether the upward speed is abnormal and can be set according to actual needs and is not limited here.

[0102] In addition, specifically when implementing, the proportion of abnormal speeds is a parameter value for measuring the proportion of abnormal upward speeds in the detection node, and the degree of chaos of water content at different depths at the detection node can be reflected through the proportion of abnormal speeds, so as to determine whether to take samples. As a preferred embodiment, determining the proportion of abnormal speeds of the selected detection node based on all the abnormal speeds and all the upward speeds can be achieved by the following method: divide the number of abnormal speeds by the total number of upward speeds, and regard the obtained value as the proportion of abnormal speeds of the selected detection node. In other embodiments, other methods can also be used to implement this, which will not be elaborated here.

[0103] It should be noted that in this application, when the abnormal speed ratio is less than or equal to the preset ratio threshold, no processing is performed.

[0104] In addition, it should also be noted that in this application, a detection node is selected from the remaining detection nodes as the selected detection node, and the steps of repeatedly obtaining all the rising speeds of the selected detection node until the vertical displacement corresponding to the selected detection node when the sampler in the slope is sampled are performed, so as to obtain multiple vertical displacements when the sampler in the slope is sampled.

[0105] In step 104, all the horizontal displacement amounts and all the vertical displacement amounts are associated and fused based on the spatial positions corresponding to them in the slope, so as to obtain multiple confidence sampling points when the sampler in the slope is sampled.

[0106] In some embodiments, the steps of associating and fusing all the horizontal displacement amounts and all the vertical displacement amounts based on the spatial positions corresponding to them in the slope to obtain multiple confidence sampling points when the sampler in the slope is sampled can be implemented as follows:

[0107] All the horizontal displacement amounts and all the vertical displacement amounts are associated based on the spatial positions corresponding to them in the slope, and multiple associated displacement amounts are obtained;

[0108] The spatial position coordinates of each associated displacement amount in the slope are obtained;

[0109] All the spatial position coordinates are clustered to obtain multiple clusters of spatial position coordinates;

[0110] All the spatial position coordinates in each cluster of spatial position coordinates are fused into the confidence sampling point corresponding to each cluster of spatial position coordinates when the sampler in the slope is sampled.

[0111] Among them, in some embodiments, the steps of associating all the horizontal displacement amounts and all the vertical displacement amounts based on the spatial positions corresponding to them in the slope to obtain multiple associated displacement amounts can be implemented as follows:

[0112] The spatial position of each horizontal displacement amount is obtained;

[0113] The spatial position of each vertical displacement amount is obtained;

[0114] Filter out all the horizontal displacement amounts and vertical displacement amounts with the same spatial position from all the horizontal displacement amounts and all the vertical displacement amounts, combine the horizontal displacement amounts and vertical displacement amounts with the same spatial position into an associated displacement amount, and thus obtain multiple associated displacement amounts.

[0115] It should be noted that the associated displacement amount in this application represents the displacement amount between the spatial position and the initial spatial position of the sampler when there are both horizontal displacement amounts and vertical displacement amounts corresponding to the spatial position.

[0116] In addition, it should also be noted that the spatial position coordinates of the associated displacement amount in the slope are recorded as the spatial position coordinates of the horizontal displacement amount corresponding to the associated displacement amount.

[0117] When specifically implemented, clustering processing is performed on all the spatial position coordinates to obtain multiple spatial position coordinate clusters. The following method can be used to achieve this, that is: all the spatial position coordinates can be clustered by existing clustering techniques (such as Euclidean clustering). For example: multiple spatial position coordinates can be randomly selected from all the spatial position coordinates as the central position coordinates (where the number of central position coordinates can be set according to the actual situation, or the number of central position coordinates can be set according to the simulation results by combining machine learning algorithms with the structural characteristics of the slope), and then the distances between each central position coordinate and other spatial position coordinates are calculated through the Euclidean distance formula. Furthermore, each spatial position coordinate and each central position coordinate are aggregated into multiple spatial position coordinate clusters according to the calculated distances. For example, all the spatial position coordinates can also be clustered according to Mahalanobis clustering. In other embodiments, other methods can also be used to cluster all the spatial position coordinates, which will not be elaborated here.

[0118] In addition, when specifically implemented, all the spatial position coordinates in each spatial position coordinate cluster can be fused into the confidence sampling point corresponding to each spatial position coordinate cluster when the sampler samples in the slope. The following method can be used to achieve this, that is: select a spatial position coordinate cluster as the selected spatial position coordinate cluster, obtain all the spatial position coordinates in the spatial position coordinate cluster, screen out the edge spatial position coordinates according to the spatial distribution of each spatial position coordinate, then determine the sampling range corresponding to the selected spatial position coordinate cluster according to all the screened spatial position coordinates, and finally, construct the confidence sampling point corresponding to the selected spatial position coordinate cluster when the sampler samples in the slope with the sampling range and the central position coordinates corresponding to the selected spatial position coordinate cluster. Repeat the above steps to continue constructing the confidence sampling points corresponding to the remaining spatial position coordinate clusters when the sampler samples in the slope. In other embodiments, other methods can also be used to achieve this, which is not limited here.

[0119] It should be noted that the confidence sampling points in this application are the most reliable sampling points when the sampler samples within the slope. The confidence sampling points include the central position coordinates and the sampling range.

[0120] In step 105, the sampler is controlled to sample within the slope through each confidence sampling point.

[0121] Specifically, controlling the sampler to sample within the slope through each confidence sampling point can be implemented in the following manner: the central position coordinates and the sampling range of each confidence sampling point are transmitted to the sampling control center. The sampling control center plans the path during sampling according to the central position coordinates and the sampling range of each confidence sampling point, and then controls the sampler to sample according to each path and the sampling range. In other embodiments, other methods can also be used to implement this, which will not be elaborated here.

[0122] In addition, on the other hand of this application, in some embodiments, this application provides a monitoring and sampling device for geological disaster slope treatment. The monitoring and sampling device includes: an intelligent detector, a sampler, and a sampling control unit. Detection nodes are arranged at equal intervals within the slope, and the intelligent detectors are inserted simultaneously. The intelligent detector includes: an ultrasonic sensor and a speed sensor. Refer to Figure 4 , this figure is a schematic structural diagram of the sampling control unit shown in some embodiments of this application. The sampling control unit 400 includes: a determination module 401, a processing module 402, and an execution module 403, which are described as follows:

[0123] The determination module 401. In this application, the determination module 401 is mainly used to automatically collect the transmission signals of ultrasonic waves in the horizontal direction during the process of inserting the intelligent detector into the slope through the ultrasonic sensor, and determine the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes according to all the collected transmission signals;

[0124] The processing module 402. In this application, the processing module 402 is mainly used to determine multiple horizontal displacement amounts when the sampler samples within the slope based on all the attenuation gradients, control the speed sensor to collect the speed of the intelligent detector during the rising process within the slope at a specified frequency, and determine multiple vertical displacement amounts when the sampler samples within the slope according to the proportion of speed anomalies in all the collected rising speeds;

[0125] In this application, the processing module 402 is also used to perform correlation fusion on all the horizontal displacement amounts and all the vertical displacement amounts based on the spatial positions corresponding to the horizontal displacement amounts and the vertical displacement amounts within the slope, so as to obtain multiple confidence sampling points when the sampler samples within the slope;

[0126] Execution module 403. In this application, the execution module 403 is mainly used to control the sampler to take samples within the slope through each confidence sampling point.

[0127] Each module in the above monitoring and sampling device for geological disaster slope treatment can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0128] In addition, in one embodiment, this application provides a computer device, which can be a server, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store monitoring and sampling data for geological disaster slope treatment. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it realizes a monitoring and sampling method for geological disaster slope treatment.

[0129] Those skilled in the art can understand that Figure 5 the structure shown in

[0130] is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0131] In one embodiment, a computer device is also provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, it realizes the steps in the above embodiment of the monitoring and sampling method for geological disaster slope treatment.

[0132] In one embodiment, a computer program product or a computer program is provided. The computer program product or the computer program includes computer instructions that are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, causing the computer device to perform the steps in the above-described embodiment of the monitoring and sampling method for geological disaster slope treatment.

[0133] Those of ordinary skill in the art can understand that all or part of the processes in the above-described embodiment methods can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-described embodiments of each method. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0134] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0135] The above-described embodiments merely represent several implementation manners of this application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of the patent of this application shall be subject to the appended claims.

Claims

1. A monitoring sampling method for geological disaster slope management, which is used for sampling by a monitoring sampling device, wherein the monitoring sampling device includes: an intelligent detector and a sampler, characterized in that: The steps include: Detection nodes are set at equal intervals in the slope, and intelligent detectors are inserted at the same time. The intelligent detectors include: ultrasonic sensors and speed sensors; The ultrasonic sensor automatically collects the ultrasonic transmission signal in the horizontal direction during the process of inserting the intelligent detector into the slope, and determines the attenuation gradient of the ultrasonic wave propagating in the soil between each group of adjacent detection nodes based on all the collected transmission signals; Determine multiple horizontal displacements of the sampler in the slope when sampling based on all attenuation gradients, control the speed sensor to collect the speed of the intelligent detector during the ascent of the slope according to a specified frequency, and determine multiple vertical displacements of the sampler in the slope when sampling based on the proportion of speed anomalies in all the collected ascent speeds; Based on the corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope, all horizontal displacements and all vertical displacements are correlated and fused, thereby obtaining multiple confidence sampling points when the sampler in the slope performs sampling; The sampler is controlled to take samples in the slope through various confidence sampling points; The attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes is determined based on all transmission signals and specifically includes: Select two adjacent detection nodes from all detection nodes as a group of adjacent detection nodes; Extract all transmission signals corresponding to the group of adjacent detection nodes from all transmission signals; Determining the amplitude attenuation of each transmission signal according to the initial amplitude of the ultrasonic wave, the real-time amplitude of the ultrasonic wave, and the propagation distance of the ultrasonic wave in each transmission signal; Determine the attenuation gradient of the ultrasonic wave propagating in the soil between the adjacent detection nodes of the group according to all the amplitude attenuations; Continue to determine the attenuation gradient of ultrasonic waves propagating in the soil between the remaining groups of adjacent detection nodes; The method of determining multiple horizontal displacements of the sampler in the slope when sampling based on all attenuation gradients specifically includes: Get the preset attenuation gradient threshold; Selecting one attenuation gradient from all attenuation gradients as a selected attenuation gradient, and comparing the selected attenuation gradient with the attenuation gradient threshold; If the selected attenuation gradient is greater than the attenuation gradient threshold, determining the horizontal displacement of the sampler in the slope when sampling according to all amplitude attenuations in adjacent detection nodes corresponding to the selected attenuation gradient; If the selected attenuation gradient is less than or equal to the attenuation gradient threshold, no processing is performed; Continuing to compare the remaining attenuation gradient with the attenuation gradient threshold, to obtain multiple horizontal displacements of the sampler in the slope when sampling; Among them, the multiple vertical displacements of the sampler in the slope when sampling are determined based on the abnormal velocity ratio in all rising velocities include: Select a detection node as the selected detection node; Get all the rising speeds of the selected detection nodes; Determine multiple abnormal velocities among all ascent velocities; Determine the speed anomaly ratio of the selected detection node based on all abnormal speeds and all rising speeds; When the velocity anomaly ratio is greater than a preset ratio threshold, the rising speed corresponding to each abnormal speed is obtained, and the distance between the position at which each rising speed is collected in the slope and the ground surface is used as the vertical displacement corresponding to the detection node selected when the sampler in the slope performs sampling; Continue to determine the vertical displacement corresponding to the remaining detection nodes when the sampler in the slope is sampling.

2. The method according to claim 1, wherein Determining the amplitude attenuation of each transmission signal according to the ultrasonic initial amplitude, ultrasonic real-time amplitude, and ultrasonic propagation distance in each transmission signal specifically includes: selecting a transmission signal as a selected transmission signal; Calculate the difference between the initial amplitude of the ultrasonic wave and the real-time amplitude of the ultrasonic wave in the selected transmission signal; Dividing the difference by the ultrasonic wave propagation distance in the selected transmission signal, and using the quotient obtained by the division as the amplitude attenuation of the selected transmission signal; Continue to determine the amplitude attenuation of the remaining transmission signal.

3. The method according to claim 1, wherein Based on the corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope, all horizontal displacements and all vertical displacements are correlated and fused, thereby obtaining multiple confidence sampling points when the sampler in the slope performs sampling, specifically including: Correlating all horizontal displacements and all vertical displacements based on corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope to obtain a plurality of correlated displacements; Obtain the spatial position coordinates of each associated displacement within the slope; Perform clustering processing on all spatial position coordinates to obtain multiple spatial position coordinate clusters; All spatial position coordinates in each spatial position coordinate cluster are fused into the confidence sampling points corresponding to each spatial position coordinate cluster when the slope sampler performs sampling.

4. The method according to claim 1, wherein The ultrasonic sensor is a bistable ultrasonic sensor.

5. A monitoring and sampling device for geological disaster slope management, which adopts the method according to any one of claims 1 to 4 for monitoring and sampling, characterized in that: The monitoring sampling device includes: an intelligent detector, a sampler and a sampling control unit. Detection nodes are set at equal intervals in the slope and the intelligent detectors are inserted at the same time. The intelligent detectors include: an ultrasonic sensor and a speed sensor. The sampling control unit includes: a determination module for automatically collecting, by means of the ultrasonic sensor, ultrasonic transmission signals in the horizontal direction during the insertion of the intelligent detector into the slope, and determining, based on all the collected transmission signals, the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes; a processing module for determining multiple horizontal displacements of the sampler in the slope when sampling based on all attenuation gradients, controlling the velocity sensor to collect the velocity of the intelligent detector during its ascent in the slope at a specified frequency, and determining multiple vertical displacements of the sampler in the slope when sampling based on the proportion of velocity anomalies in all collected ascent velocities; The processing module is further configured to correlate and fuse all horizontal displacements and all vertical displacements based on their corresponding spatial positions within the slope, thereby obtaining a plurality of confidence sampling points when the sampler within the slope performs sampling; The execution module is used for controlling the sampler to take samples in the slope through various confidence sampling points.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the monitoring and sampling method for geological disaster slope management described in any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the monitoring and sampling method for geological disaster slope management according to any one of claims 1 to 4 are implemented.

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