Monitoring and sampling device and method for geological disaster slope treatment

Abstract

The invention provides a monitoring and sampling device and method for geological disaster slope treatment, and the method comprises the steps: determining the attenuation gradient of the transmission of ultrasonic waves in soil between each group of adjacent detection nodes through all collected transmission signals, and determining a plurality of horizontal displacements during the sampling of a sampler in a slope based on all attenuation gradients; determining a plurality of vertical displacements during sampling of a sampler in the side slope according to the velocity anomaly proportion in all the collected rising velocities, and performing correlation fusion on all the horizontal displacements and all the vertical displacements based on the corresponding spatial positions of all the horizontal displacements and all the vertical displacements in the side slope; further obtaining a plurality of confidence sampling points when the sampler in the side slope carries out sampling, and controlling the sampler to carry out sampling in the side slope through each confidence sampling point; by adopting the scheme of the application, the soil in the slope can be sampled confidence, and the naturalness of the internal structure of the slope is kept.

Description

Technical Field

[0001] The present application relates to the field of monitoring and sampling technology, and in particular to a monitoring and sampling device and method for geological disaster slope management. Background Art

[0002] Monitoring sampling refers to the process of extracting samples from objects that need to be tested in accordance with certain technical standards and specifications in the fields of environmental monitoring, water quality testing, air monitoring, soil monitoring, etc. This process is a key link in ensuring environmental quality and assessing the impact of pollution sources on the environment. By collecting key environmental samples, the types, concentrations and distribution of pollutants can be revealed, providing a scientific basis for pollution prevention and management.

[0003] Monitoring and sampling for geological disaster slope management refers to a series of sampling and monitoring activities carried out during the slope management process to understand the geological structure, soil layer distribution, groundwater conditions, etc. These activities include: geological survey, hydrological monitoring, surface deformation monitoring, stress monitoring and groundwater monitoring, etc. In traditional monitoring sampling, only enough soil samples are collected at designated sampling locations for testing. Sometimes, in order to make the test data more accurate, more sampling locations are designated, which damages the internal structure of the slope, causing the originally harmless slope to become dangerous due to sampling. Therefore, how to confidently sample 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, the present application provides a monitoring sampling device and method for geological disaster slope management, which is used to achieve reliable sampling of soil inside the slope.

[0005] In a first aspect, the present application provides a monitoring sampling method for geological disaster slope management, which is used to control a monitoring sampling device to perform sampling. The monitoring sampling device includes: an intelligent detector and a sampler, and includes the following steps: Detection nodes are arranged at equal intervals in the slope, and intelligent detectors are inserted at the same time, wherein the intelligent detectors include: an ultrasonic sensor and a speed sensor; 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 according to all the collected transmission signals; Based on all attenuation gradients, multiple horizontal displacements of the sampler in the slope when sampling are determined; the speed sensor is controlled at a specified frequency to collect the speed of the intelligent detector during the rising process in the slope; and multiple vertical displacements of the sampler in the slope when sampling are determined according to the proportion of speed anomalies in all the rising speeds collected; 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 associated and fused, thereby obtaining multiple confidence sampling points when the sampler in the slope performs sampling; The sampler is controlled to take samples within the slope through various confident sampling points.

[0006] In some embodiments, determining the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes according to all transmission signals 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; Determine 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; Determine the attenuation gradient of the ultrasonic wave propagating in the soil between the group of adjacent detection nodes 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.

[0007] In some embodiments, 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; Obtaining 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.

[0008] In some embodiments, determining multiple horizontal displacements of the sampler in the slope when sampling based on all attenuation gradients specifically includes: Obtain a 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, then 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; The remaining attenuation gradient is then compared with the attenuation gradient threshold to obtain a plurality of horizontal displacements when the sampler in the slope is sampling.

[0009] In some embodiments, determining multiple vertical displacements of the sampler in the slope when sampling based on the abnormal velocity ratio in all rising velocities specifically includes: Select a detection node as a 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 proportion 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 when 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.

[0010] In some embodiments, all horizontal displacements and all vertical displacements are associated and fused based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope, thereby obtaining a plurality of confidence sampling points when the sampler in the slope performs sampling, specifically including: Based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope, all the horizontal displacements and all the vertical displacements are associated to obtain a plurality of associated displacements; Obtaining the spatial position coordinates of each associated displacement in 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 merged into the confidence sampling points corresponding to each spatial position coordinate cluster when the sampler in the slope performs sampling.

[0011] In some embodiments, the ultrasonic sensor is a bi-stable ultrasonic sensor.

[0012] In the second aspect, the present application provides a monitoring sampling device for geological disaster slope management, the monitoring sampling device includes: an intelligent detector, a sampler and a sampling control unit, detection nodes are arranged at equal intervals in the slope, and the intelligent detector is inserted at the same time, the intelligent detector includes: an ultrasonic sensor and a speed sensor, and the sampling control unit includes: A determination module, used to automatically collect the ultrasonic transmission signal of the horizontal direction of the ultrasonic wave when the intelligent detector is inserted into the slope through the ultrasonic sensor, and determine the attenuation gradient of the ultrasonic wave propagating in the soil between each group of adjacent detection nodes according to all the collected transmission signals; A processing module is used to 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 rising process in the slope according to the 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 rising speeds collected; The processing module is further used to associate and fuse all horizontal displacements and all vertical displacements based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope, thereby obtaining a plurality of confidence sampling points when the sampler in the slope performs sampling; The execution module is used for controlling the sampler to take samples in the slope through various confidence sampling points.

[0013] In a third aspect, the present application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned monitoring and sampling method for geological disaster slope management when executing the computer program.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned monitoring and sampling method for geological disaster slope management.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the monitoring and sampling device and method for geological disaster slope management provided by the present application, detection nodes are arranged at equal intervals in the slope, and intelligent detectors are inserted at the same time, and the intelligent detectors include: ultrasonic sensors and speed sensors; the ultrasonic sensor automatically collects the transmission signal of the ultrasonic wave 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 transmission signals collected; based on all the attenuation gradients, multiple horizontal displacements of the sampler in the slope when sampling are determined, and the speed sensor is controlled to collect the speed of the intelligent detector during the rising process in the slope according to the specified frequency, and multiple vertical displacements of the sampler in the slope when sampling are determined according to the proportion of speed anomalies in all the rising speeds collected; all horizontal displacements and all vertical displacements are associated and fused based on the corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope, so as to obtain multiple confidence sampling points when the sampler in the slope is sampling; and the sampler is controlled to sample in the slope through each confidence sampling point.

[0016] It can be seen that in the present application, detection nodes are firstly arranged 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, thereby reducing the damage to the internal structure of the slope; secondly, the attenuation gradient of the ultrasonic wave propagating in the soil between each group of adjacent detection nodes is determined by all the collected transmission signals. The attenuation gradient is a parameter value that measures the degree of attenuation difference between adjacent detection nodes in the vertical direction when the ultrasonic wave propagates in the soil. The attenuation gradient can be used to determine whether the moisture content at different depths in the soil is consistent, that is: the larger the attenuation gradient, the greater the difference in moisture content at different depths in the soil, and the smaller the attenuation gradient, the smaller the difference in moisture content at different depths in the soil. Then, based on all the attenuation gradients, multiple horizontal displacements of the sampler in the slope when sampling are determined; then, according to the collected The velocity anomaly ratio among all rising velocities determines multiple vertical displacements of the sampler in the slope when sampling, wherein the velocity anomaly ratio is a parameter value that measures the ratio of rising velocity anomalies in the detection node. The velocity anomaly ratio can reflect the degree of confusion of water content at different depths at the detection node, and judge whether the water content in the soil at the detection node is consistent, thereby determining whether to perform sampling; finally, all horizontal displacements and all vertical displacements are associated and fused based on the corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope, so that the sampling location and sampling range in the slope can be planned more accurately, thereby reducing the number of sampling times, and then controlling the sampler to perform sampling in the slope through each confident sampling point; in summary, the technical solution of the present application can perform confident sampling of the soil inside the slope and maintain the naturalness of the internal structure of the slope. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic flow chart of a monitoring and sampling method for geological disaster slope management in some embodiments of the present application; Figure 2 This is a working principle diagram of an ultrasonic sensor in some embodiments of the present application; Figure 3 This is a schematic diagram of a process for determining an attenuation gradient in some embodiments of the present application; Figure 4 This is a schematic diagram of the structure of a sampling control unit in some embodiments of the present application; Figure 5 This is a diagram of the internal structure of a computer device in some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1 , which is an exemplary flow chart of a monitoring sampling method for geological disaster slope management according to some embodiments of the present application. The monitoring sampling method 100 for geological disaster slope management mainly includes the following steps: In step 101, detection nodes are arranged at equal intervals in the slope, and intelligent detectors are inserted at the same time. The intelligent detectors include: ultrasonic sensors and speed sensors.

[0020] In specific implementation, the detection nodes can be set at equal intervals in the slope according to a preset distance. The distance can be preset according to the actual length and width of the slope. For example, on the overlooking surface of the slope, the actual slope length is 27 meters and the width is 9 meters. The detection nodes are set at equal intervals from left to right and from back to front on the slope at a distance of 3 meters (that is, there are 4 rows of detection nodes, each row has 10 detection nodes). In other embodiments, other methods can also be used to preset the distance, which will not be repeated here.

[0021] It should be noted that the reference Figure 2 As shown, this figure is a working principle diagram of an ultrasonic sensor in some embodiments of the present application, wherein the ultrasonic sensor includes an ultrasonic transmitter and an ultrasonic receiver, wherein an ultrasonic wave emitted by an ultrasonic generator at a detection node passes through an obstacle and is received by an ultrasonic receiver at an adjacent detection node.

[0022] In addition, it should be noted that the ultrasonic sensor in the present application is a bistable ultrasonic sensor.

[0023] In step 102, the ultrasonic sensor automatically collects ultrasonic transmission signals in the horizontal direction when the intelligent detector is inserted into the slope, and determines the attenuation gradient of ultrasonic waves propagating in the soil between each group of adjacent detection nodes based on all the collected transmission signals.

[0024] In specific implementation, the transmission signal refers to the signal generated after the ultrasonic wave passes through the soil between adjacent detection nodes, and the transmission signal includes the ultrasonic initial amplitude, the ultrasonic real-time amplitude and the ultrasonic propagation distance, wherein the ultrasonic initial amplitude is the amplitude when the ultrasonic transmitter initially sends the ultrasonic wave, the ultrasonic real-time amplitude is the amplitude obtained when the ultrasonic wave is 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 collection of the ultrasonic transmission signal in the horizontal direction during the insertion of the intelligent detector into the slope by the ultrasonic sensor can be implemented in the following manner, namely: during the insertion of the detection sensor into the slope, the ultrasonic sensor can be controlled according to actual needs to automatically collect when the detection sensor penetrates into different distances during the insertion of the detection sensor into the slope. The ultrasonic transmission signal of the horizontal direction is collected once to obtain multiple transmission signals. For example, when high measurement accuracy is required, the ultrasonic sensor can be controlled to automatically collect the ultrasonic transmission signal in the horizontal direction by penetrating 0.5 meters during the process of inserting the detection sensor into the slope; when medium measurement accuracy is required, the ultrasonic sensor can be controlled to automatically collect the ultrasonic transmission signal in the horizontal direction by penetrating 1 meter during the process of inserting the detection sensor into the slope; when low measurement accuracy is required, the ultrasonic sensor can be controlled to automatically collect the ultrasonic transmission signal in the horizontal direction by penetrating 3 meters during the process of inserting the detection sensor into the slope; in other embodiments, the ultrasonic sensor can be controlled to automatically collect the ultrasonic transmission signal in the horizontal direction when the detection sensor penetrates different distances during the process of inserting the detection sensor into the slope according to other situations, which is not limited here.

[0025] It should be noted that in the present application, ultrasonic waves are sent at the same frequency, and the frequency range is generally 500KHz to 1MHz. The frequency of the ultrasonic wave can be set according to actual needs and is not limited here.

[0026] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the attenuation gradient in some embodiments of the present application. In this embodiment, the attenuation gradient of the ultrasonic wave propagating in the soil between each group of adjacent detection nodes can be determined based on all the transmission signals collected, which can be achieved by the following steps: In step 1021, two adjacent detection nodes are selected from all detection nodes as a group of adjacent detection nodes; In step 1022, all transmission signals corresponding to the group of adjacent detection nodes are extracted from all transmission signals; In step 1023, the amplitude attenuation of each transmission signal is determined according to the ultrasonic initial amplitude, ultrasonic real-time amplitude and ultrasonic propagation distance in each transmission signal; In step 1024, the attenuation gradient of the ultrasonic wave propagating in the soil between the group of adjacent detection nodes is determined according to all the amplitude attenuation amounts; In step 1025, the attenuation gradient of the ultrasonic wave propagating in the soil between the remaining groups of adjacent detection nodes is continuously determined.

[0027] In the specific implementation, the amplitude attenuation of each transmission signal can be determined 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, which can be implemented in the following manner, namely: selecting a transmission signal as a selected transmission signal; Obtaining 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.

[0028] It should be noted that, the amplitude attenuation refers to the parameter value of the attenuation degree of the ultrasonic wave between adjacent detection nodes during the propagation process in the soil.

[0029] In addition, in a specific implementation, determining the attenuation gradient of the ultrasonic wave propagating in the soil between the group of adjacent detection nodes based on all the amplitude attenuations can be achieved in the following manner, namely: first, all the amplitude attenuations can be sorted in descending order according to the chronological order of the corresponding time, and then, the difference between every two adjacent amplitude attenuations is calculated, and finally, the sum of all the differences is divided by the total number of amplitude attenuations to obtain the attenuation gradient of the ultrasonic wave propagating in the soil between the group of adjacent detection nodes, wherein the attenuation gradient is a parameter value that measures the degree of attenuation difference in the vertical direction when the ultrasonic wave propagates in the soil between adjacent detection nodes, and the attenuation gradient can be used to determine whether the moisture content at different depths in the soil is consistent, that is: the larger the attenuation gradient, the greater the difference in moisture content at different depths in the soil, and the smaller the attenuation gradient, the smaller the difference in moisture content at different depths in the soil.

[0030] It should be noted that in the present application, the acquisition time of the transmission signal corresponding to the amplitude attenuation is taken as the time corresponding to the amplitude attenuation.

[0031] It should also be noted that in the present application, two adjacent detection nodes that have not been selected are continued to be selected from all the detection nodes as a new group of adjacent detection nodes, and the steps of extracting all transmission signals to determining the attenuation gradient of ultrasonic waves propagating in the soil between adjacent detection nodes are repeated, thereby obtaining the attenuation gradient of ultrasonic waves propagating in the soil between the remaining groups of adjacent detection nodes.

[0032] In step 103, multiple horizontal displacements of the sampler in the slope when sampling are determined based on all attenuation gradients, 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 displacements of the sampler in the slope when sampling are determined based on the proportion of speed anomalies in all the ascending speeds collected.

[0033] In some embodiments, determining multiple horizontal displacements of the sampler in the slope when sampling based on all attenuation gradients can be achieved by using the following steps: Obtain a 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, then 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; The remaining attenuation gradient is then compared with the attenuation gradient threshold to obtain a plurality of horizontal displacements when the sampler in the slope is sampling.

[0034] Among them, in specific implementation, the attenuation gradient threshold is the judgment threshold of the attenuation gradient, and the attenuation gradient threshold can be compared with the attenuation gradient to determine whether the moisture content at different depths in the soil corresponding to the attenuation gradient is consistent, thereby further determining the sampling point; as a preferred embodiment, the attenuation gradient threshold can be set through an intelligent algorithm in combination with historical sampling data, for example, the sampling results, attenuation gradient, attenuation gradient threshold, etc. in the historical sampling data are input into the intelligent algorithm model, so as to set the attenuation gradient threshold according to the output result. 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 are not limited here.

[0035] In addition, in a specific implementation, determining the horizontal displacement of the sampler in the slope when sampling based on all the amplitude attenuations in the adjacent detection nodes corresponding to the selected attenuation gradient can be implemented in the following manner, namely: selecting an amplitude attenuation as the selected amplitude attenuation, comparing the selected amplitude attenuation with a preset amplitude attenuation threshold, if the selected amplitude attenuation is greater than the preset amplitude attenuation threshold, then when collecting the transmission signal corresponding to the selected amplitude attenuation, the horizontal distance between the spatial position of the transmission signal collection point and the initial spatial position of the sampler is used as the horizontal displacement corresponding to the selected amplitude attenuation when the sampler in the slope performs sampling, and continuing to determine the horizontal displacement corresponding to the remaining amplitude attenuation when the sampler in the slope performs sampling; wherein, the amplitude attenuation threshold can be set according to relevant experts in combination with historical sampling results and historical amplitude attenuation thresholds, and other methods can also be used in other embodiments, which are not limited.

[0036] It should be noted that the horizontal displacement in the present application refers to the displacement distance of the sampler in the horizontal direction when sampling in the slope.

[0037] In addition, it should be noted that in the present 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 (that is, the spatial coordinates of the sampler are (0, 0, 0)), the length of the slope is used as the X-axis, the width of the slope is used as the Y-axis, and the depth of the slope is used as the Z-axis to establish a spatial rectangular coordinate system; when collecting the transmission signal, the spatial position coordinates corresponding to the spatial position at which the transmission signal is collected are used as the spatial position coordinates of the transmission signal (wherein, the spatial position at which the transmission signal is collected may be the spatial position corresponding to the detection node closer to the sampler among the two corresponding detection nodes, and in other embodiments, the spatial position of the midpoint of the two detection nodes corresponding to the spatial position at which the transmission signal is collected may also be used for setting, which is not limited here); when collecting the rising speed, the spatial position coordinates corresponding to the spatial position at which the rising speed is collected are used as the spatial position coordinates of the rising speed; wherein, one transmission signal corresponds to one spatial position coordinate, and one rising speed corresponds to one spatial position coordinate.

[0038] In specific implementation, the speed sensor is controlled according to the specified frequency to collect the speed of the intelligent detector during the rising process in the slope, which can be achieved in the following way, namely: for each detection node, the speed sensor collects the speed of the detection sensor during each rising process in the slope once for every meter of rising distance, and the collected speed is used as the rising speed. In other embodiments, the specified frequency can also be set according to actual needs, which is not limited here.

[0039] It should be noted that the rising speed in the present application refers to the speed at which the detector rises within the slope at the same power.

[0040] In addition, it should be noted that in the present application, when the detection sensor is rising in the slope, the power device maintains the same power to pull up the detection sensor. When the detection sensor is pulled up by the same power, if it encounters soils of different viscosities, the rising speed will also be different. The higher the viscosity of the soil, the less likely it is to cause landslides. Therefore, the change in the possibility of landslides can be reflected by the different rising speeds.

[0041] In some embodiments, determining multiple vertical displacements of the sampler in the slope when sampling based on the abnormal velocity proportion in all the collected rising velocities can be achieved by using the following steps: Select a detection node as a 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 proportion 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 when 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.

[0042] Among them, in the specific implementation, determining multiple abnormal speeds among all the rising speeds can be achieved in the following way, namely: comparing all the rising speeds with a preset rising speed threshold, extracting all rising speeds greater than the preset rising speed threshold, and treating all the extracted rising speeds as abnormal speeds; wherein, the rising speed threshold is a judgment threshold for determining whether the rising speed is abnormal, which can be set according to actual needs and is not limited here.

[0043] In addition, in the specific implementation, the speed anomaly ratio is a parameter value that measures the abnormal ratio of rising speed in the detection node. The speed anomaly ratio can reflect the degree of confusion of water content at different depths at the detection node, thereby determining whether to take a sample. As a preferred embodiment, the speed anomaly ratio of the selected detection node based on all abnormal velocities and all rising velocities can be implemented in the following way, namely: dividing the number of abnormal velocities by the total number of rising velocities, and using the value obtained by the division as the speed anomaly ratio of the selected detection node. In other embodiments, other methods can also be used, which will not be repeated here.

[0044] It should be noted that in the present application, when the speed abnormality ratio is less than or equal to the preset ratio threshold, no processing is performed.

[0045] In addition, it should be noted that in the present application, a detection node is selected from the remaining detection nodes as the selected detection node, and the step of obtaining all the rising speeds of the selected detection node to determine the vertical displacement corresponding to the selected detection node when the sampler inside the slope performs sampling is repeated, thereby obtaining multiple vertical displacements when the sampler inside the slope performs sampling.

[0046] In step 104, all horizontal displacements and all vertical displacements are associated and fused based on the corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope, thereby obtaining a plurality of confidence sampling points when the sampler in the slope performs sampling.

[0047] In some embodiments, all horizontal displacements and all vertical displacements are associated and fused based on the spatial positions corresponding to each horizontal displacement and each vertical displacement in the slope, and then a plurality of confidence sampling points when the sampler in the slope performs sampling are obtained. This can be achieved by the following steps: Based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope, all the horizontal displacements and all the vertical displacements are associated to obtain a plurality of associated displacements; Obtaining the spatial position coordinates of each associated displacement in 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 merged into the confidence sampling points corresponding to each spatial position coordinate cluster when the sampler in the slope performs sampling.

[0048] In some embodiments, all horizontal displacements and all vertical displacements are associated based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope to obtain a plurality of associated displacements, which can be achieved by the following steps: Obtain the spatial position of each horizontal displacement; Obtain the spatial position of each vertical displacement; All horizontal displacements and vertical displacements with the same spatial position are selected from all horizontal displacements and all vertical displacements, and the horizontal displacements and vertical displacements with the same spatial position are combined into one associated displacement, thereby obtaining a plurality of associated displacements.

[0049] It should be noted that the associated displacement in the present application refers to the displacement between the spatial position and the initial spatial position of the sampler when the spatial position corresponds to both a horizontal displacement and a vertical displacement.

[0050] In addition, it should be noted that the spatial position coordinates of the associated displacement within the slope in the present application are denoted as the spatial position coordinates of the horizontal displacement corresponding to the associated displacement.

[0051] In specific implementation, clustering is performed on all spatial position coordinates to obtain multiple spatial position coordinate clusters, which can be achieved in the following manner, namely: all spatial position coordinates can be clustered using existing clustering technology (such as Euclidean clustering), for example: multiple spatial position coordinates can be randomly selected from all spatial position coordinates as center position coordinates (wherein, the number of center position coordinates can be set according to actual conditions, or a machine learning algorithm can be used in combination with the structural characteristics of the slope for simulation, and then the number of center position coordinates can be set according to the simulation results), and then the distance between each center position coordinate and other spatial position coordinates is calculated using the Euclidean distance formula, and then each spatial position coordinate and each center position coordinate are clustered into multiple spatial position coordinate clusters using the calculated distance. For example, all spatial position coordinates can also be clustered according to Mahalanobis clustering. In other embodiments, other methods can also be used to cluster all spatial position coordinates, which will not be repeated here.

[0052] In addition, in a specific implementation, merging all spatial position coordinates in each spatial position coordinate cluster into the confidence sampling points corresponding to each spatial position coordinate cluster when the sampler in the slope performs sampling can be implemented in the following manner, namely: selecting a spatial position coordinate cluster as the selected spatial position coordinate cluster, obtaining all spatial position coordinates in the spatial position coordinate cluster, filtering out the edge spatial position coordinates according to the spatial distribution of each spatial position coordinate, and then determining the sampling range corresponding to the selected spatial position coordinate cluster according to all the filtered spatial position coordinates, and finally, constructing the confidence sampling points corresponding to the selected spatial position coordinate cluster when the sampler in the slope performs sampling with the sampling range and the center position coordinates corresponding to the selected spatial position coordinate cluster, repeating the above steps, and continuing to construct the confidence sampling points corresponding to the remaining spatial position coordinate clusters when the sampler in the slope performs sampling. In other embodiments, other methods can also be used for implementation, which are not limited here.

[0053] It should be noted that the confident sampling point in the present application is the most reliable sampling point when the sampler is sampling in the slope, and the confident sampling point includes the center position coordinates and the sampling range.

[0054] In step 105, the sampler is controlled to perform sampling in the slope through each of the confidence sampling points.

[0055] In specific implementation, the following method can be used to control the sampler to perform sampling in the slope through each confident sampling point, namely: the center position coordinates and sampling range of each confident sampling point are transmitted to the sampling control center, and the sampling control center plans the sampling path according to the center position coordinates and sampling range of each confident sampling point, and then controls the sampler to perform sampling according to each path and sampling range. In other embodiments, other methods can also be used to implement it, which will not be repeated here.

[0056] In addition, in another aspect of the present application, in some embodiments, the present application provides a monitoring sampling device for geological disaster slope management, the monitoring sampling device includes: an intelligent detector, a sampler and a sampling control unit, detection nodes are arranged at equal intervals in the slope, and the intelligent detector is inserted at the same time, the intelligent detector includes: an ultrasonic sensor and a speed sensor, reference Figure 4 , which is a schematic diagram of the structure of a sampling control unit according to some embodiments of the present 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: Determination module 401, in the present application, determination module 401 is mainly used to automatically collect the ultrasonic transmission signal in the horizontal direction of the intelligent detector during the insertion of the slope through the ultrasonic sensor, and determine the attenuation gradient of the ultrasonic wave propagation in the soil between each group of adjacent detection nodes according to all the collected transmission signals; Processing module 402, in the present application, the processing module 402 is mainly used to 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 rising process in the slope according to the specified frequency, and determine multiple vertical displacements of the sampler in the slope when sampling according to the speed anomaly ratio in all the rising speeds collected; In the present application, the processing module 402 is also used to associate and fuse all horizontal displacements and all vertical displacements based on the corresponding spatial positions of each horizontal displacement and each vertical displacement in the slope, thereby obtaining a plurality of confidence sampling points when the sampler in the slope performs sampling; Execution module 403, in the present application, the execution module 403 is mainly used to control the sampler to perform sampling in the slope through various confidence sampling points.

[0057] Each module in the above-mentioned monitoring and sampling device for geological disaster slope management can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0058] In addition, in one embodiment, the present application provides a computer device, which may be a server, and its internal structure diagram may be as follows: Figure 5 As 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 management. 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, a monitoring and sampling method for geological disaster slope management is implemented.

[0059] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0060] In one embodiment, a computer device is also provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps in the above-mentioned monitoring and sampling method embodiment for geological disaster slope management are implemented.

[0061] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which, when executed by a processor, implements the steps in the above-mentioned monitoring and sampling method embodiment for geological disaster slope management.

[0062] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions 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, so that the computer device executes the steps in the above-mentioned monitoring sampling method embodiment for geological disaster slope management.

[0063] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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 embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0064] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0065] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached 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 comprises: an intelligent detector and a sampler, characterized in that: The steps include: Detection nodes are arranged at equal intervals in the slope, and intelligent detectors are inserted at the same time, wherein the intelligent detectors include: an ultrasonic sensor and a speed sensor; 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 according to all the collected transmission signals; Based on all attenuation gradients, multiple horizontal displacements of the sampler in the slope when sampling are determined; the speed sensor is controlled at a specified frequency to collect the speed of the intelligent detector during the rising process in the slope; and multiple vertical displacements of the sampler in the slope when sampling are determined according to the proportion of speed anomalies in all the rising speeds collected; 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 associated and fused, thereby obtaining multiple confidence sampling points when the sampler in the slope performs sampling; The sampler is controlled to take samples within the slope through various confident sampling points.

2. The method according to claim 1, characterized in that The attenuation gradient of ultrasonic wave propagation in soil between each group of adjacent detection nodes is determined based on all transmission signals, specifically including: 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; Determine 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; Determine the attenuation gradient of the ultrasonic wave propagating in the soil between the group of adjacent detection nodes 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.

3. The method according to claim 2, characterized in that 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; Obtaining 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.

4. The method according to claim 1, characterized in that Determining multiple horizontal displacements of the sampler in the slope based on all attenuation gradients when sampling specifically includes: Obtain a 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, then 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; The remaining attenuation gradient is then compared with the attenuation gradient threshold to obtain a plurality of horizontal displacements when the sampler in the slope is sampling.

5. The method according to claim 1, characterized in that According to the abnormal velocity proportion in all rising velocities, multiple vertical displacements of the sampler in the slope when sampling are determined, including: Select a detection node as a 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 proportion 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 when 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.

6. The method according to claim 1, characterized in that 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 associated and fused, and then multiple confidence sampling points when the sampler in the slope performs sampling are obtained, which specifically include: Based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope, all the horizontal displacements and all the vertical displacements are associated to obtain a plurality of associated displacements; Obtaining the spatial position coordinates of each associated displacement in 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 merged into the confidence sampling points corresponding to each spatial position coordinate cluster when the sampler in the slope performs sampling.

7. The method according to claim 1, characterized in that The ultrasonic sensor is a bistable ultrasonic sensor.

8. A monitoring and sampling device for geological disaster slope management, characterized in that: The monitoring sampling device includes: an intelligent detector, a sampler and a sampling control unit. Detection nodes are arranged at equal intervals in the slope, and the intelligent detector is inserted at the same time. The intelligent detector includes: an ultrasonic sensor and a speed sensor. The sampling control unit includes: A determination module, used to automatically collect the ultrasonic transmission signal of the horizontal direction of the ultrasonic wave when the intelligent detector is inserted into the slope through the ultrasonic sensor, and determine the attenuation gradient of the ultrasonic wave propagating in the soil between each group of adjacent detection nodes according to all the collected transmission signals; A processing module is used to 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 rising process in the slope according to the 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 rising speeds collected; The processing module is further used to associate and fuse all horizontal displacements and all vertical displacements based on the spatial positions corresponding to the horizontal displacements and the vertical displacements in the slope, thereby obtaining a plurality of confidence sampling points when the sampler in the slope performs sampling; The execution module is used for controlling the sampler to take samples in the slope through various confidence sampling points.

9. 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 sampling method for geological disaster slope management described in any one of claims 1 to 7 are implemented.

10. 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 as described in any one of claims 1 to 7 are implemented.

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