Landslide displacement measuring method and system

Abstract

The invention discloses a landslide displacement measurement method and system, and relates to the technical field of landslide detection, and the method comprises the steps: burying a detection inductor on a landslide body, connecting the two ends of the detection inductor to the top of the landslide body through insulated wires, connecting a voltmeter, collecting monitoring data, and carrying out the preprocessing; measuring the magnetic field intensity and the magnetic induction line direction on the landslide mass, calculating the included angle between the magnetic induction line and the detection inductor, constructing a correction model, calculating correction parameters, and obtaining displacement parameters; the monitoring voltage of the voltmeter is recorded, the actual displacement of the detection inductor in the magnetic induction line is calculated, and the landslide displacement is calculated and judged by combining displacement parameters. According to the invention, the detection is accurate, the external environment interference is small, the applied detection equipment is less, the possibility of landslide slippage can be accurately analyzed, the detection of landslide displacement at different depths can be met, and the possibility of damage to the detection equipment is reduced.

Description

Technical Field

[0001] This invention relates to the field of landslide detection technology, and in particular to a landslide displacement measurement method and system. Background Technology

[0002] Deep displacement monitoring of landslides can provide data support for understanding landslide formation mechanisms, failure modes, and slip zone identification. Therefore, long-term deep displacement monitoring is an essential part of landslide research. Currently, common deep displacement monitoring technologies include borehole displacement gauges, borehole inclinometers, coaxial cable time domain reflectometry (TDR), and fiber optic gratings. The monitoring ends of these devices generally have high strength but poor flexibility. However, because landslide evolution is often accompanied by large deformations, these forces exert enormous stress on the monitoring instruments buried deep within the landslide, particularly in the form of shearing and tensile fracture. This can damage the instruments, hindering continuous monitoring due to their poor flexibility. Furthermore, the degree of deformation varies at different depths, exhibiting regional variations.

[0003] Currently, most existing detection technologies rely on a large number of detection devices to detect the deformation area of ​​landslides. This involves using a lot of equipment, making maintenance cumbersome, and increasing the likelihood of external interference during the detection process, thus reducing the accuracy of the detection. Summary of the Invention

[0004] In view of the problems existing in current landslide displacement measurement methods, this invention is proposed. Therefore, the problem to be solved by this invention is how to provide a landslide displacement measurement method and system.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides a method for measuring landslide displacement, comprising: burying a detection sensor on a vertical horizontal plane of the landslide body; connecting both ends of the detection sensor to a voltmeter at the top of the landslide body via insulated wires; collecting monitoring data and performing preprocessing; measuring the magnetic field strength and direction of the magnetic field lines on the landslide body; calculating the angle between the magnetic field lines and the detection sensor; using the monitoring data to construct a correction model to calculate correction parameters and obtain displacement parameters; recording the voltage monitored by the voltmeter when the landslide body slides; calculating the actual displacement of the detection sensor in the magnetic field lines; and combining the displacement parameters to calculate and determine the landslide displacement.

[0007] As a preferred embodiment of the landslide displacement measurement method of the present invention, the monitoring data includes meteorological data, soil parameters, geological data, historical landslide data, and surface movement monitoring data; the meteorological data includes environmental rainfall, environmental temperature, and environmental humidity; the soil parameters include soil moisture and density of the landslide body; the geological data includes stratigraphic structure and rock type and distribution; and the historical landslide data includes historical occurrence time and historical landslide displacement.

[0008] As a preferred embodiment of the landslide displacement measurement method of the present invention, the data collection includes the following steps: selecting a suitable landslide monitoring area and determining monitoring points based on expertise in geology, meteorology, and environmental science; deploying corresponding monitoring equipment; installing rain gauges to collect rainfall data; installing temperature and humidity sensors to monitor ambient temperature and humidity; installing soil moisture and density sensors to monitor soil parameters of the landslide body; using geological exploration equipment to obtain data on stratigraphic structure and rock type; and setting sensors to periodically collect data to ensure that data is recorded and stored at appropriate time intervals.

[0009] As a preferred embodiment of the landslide displacement measurement method of the present invention, the preprocessing includes the following steps: data cleaning, checking data integrity, removing outlier data points, normalizing data from different sources and at different scales to ensure data comparability under the same standard; marking all data with timestamps, processing data with inconsistent time intervals through interpolation or other methods, and extracting relevant features from the original data; integrating data collected from different sensors into a unified dataset to ensure data alignment and integrity, facilitating modeling and analysis; and performing preliminary analysis on the preprocessed data to identify trends and determine data for model training and validation.

[0010] As a preferred embodiment of the landslide displacement measurement method of the present invention, wherein: the calculation of the angle between the magnetic field lines and the detection sensor includes assuming that the vector of the magnetic field sensor in the ground coordinate system is B = (B x B y B z The direction vector of the detected sensor in the same coordinate system is D = (D x D y D z The angle between the magnetic field lines and the sensing element is calculated using the following formula:

[0011]

[0012] In the formula, θ is the angle between the magnetic field lines and the sensing element, B·D is the dot product of the two vectors, |B| is the magnitude of the magnetic field vector, |D| is the magnitude of the direction vector of the sensing element, and γ iTo adjust the parameters used to control the influence of each component, where n is the number of dimensions considered, and B... i Let D be the vector of the i-th magnetic field sensor in the ground coordinate system. i Let be the vector of the i-th detected sensor in the ground coordinate system.

[0013] As a preferred embodiment of the landslide displacement measurement method of the present invention, the calculation of correction parameters includes the following steps: constructing a correction model using processed monitoring data, wherein the calculation formula of the correction model is as follows:

[0014]

[0015] In the formula, P is the correction parameter at time t, t is the monitoring time interval, α, λ, β, μ, δ, and ε are adjustment parameters, R is the environmental rainfall at time t1, T is the environmental temperature, H(t) is the environmental humidity at a series of time points t, T0 is the reference temperature, N is the number of time points for humidity measurement, n is the number of data points for the distribution of stratigraphic structure and rock type, and d i Let w be the stratigraphic structure of the i-th data point. k r is the weighting coefficient for rock type. i,k Let m represent the distribution of the k-th rock type at the i-th data point, where m is the number of rock types.

[0016]

[0017] P t For historical correction parameters, P j For the correction parameter calculated in the j-th monitoring, w j As a weighting factor, more recent monitoring data is assigned a higher weight, and M is the total number of historical monitoring data. The correction parameter and historical correction parameters are compared to obtain a comparison result. The comparison rule is as follows: the historical adjustment parameter is set as the comparison threshold; when the correction parameter P ≤ the historical correction parameter P... t If the current monitoring environment is stable, continue subsequent measurement calculations, maintain the current test parameters, and use the correction parameter at time t as the displacement parameter without adjusting the displacement parameter; if the correction parameter P > the historical correction parameter P... t When the test environment is in a variable state, the displacement parameters need to be adjusted using the following formula:

[0018]

[0019] In the formula, C n K is the adjusted correction parameter. i This is for adjusting the coefficient.

[0020] As a preferred embodiment of the landslide displacement measurement method of the present invention, the calculation and judgment of landslide displacement includes the following steps: when a landslide displacement occurs, the velocity of the insulated wire end is calculated based on the elongation of the insulated wire, and the displacement velocity of the compensation module end is:

[0021]

[0022] In the formula, V is the velocity of the detected inductor moving along the direction of the magnetic field lines; according to Faraday's law of electromagnetic induction, at t i The displacement at time t is:

[0023]

[0024] In the formula, B is the magnetic field strength; L is the displacement along the direction of the magnetic field lines; E is the voltage of the closed circuit; θ is the angle between the magnetic field lines and the sensing element; T is the data acquisition time interval of the data acquisition device; and L... i To represent the sliding displacement of the sensing element in the magnetic field lines, the formula for calculating the actual sliding displacement of the landslide is as follows:

[0025]

[0026] In the formula, l i The actual sliding displacement of the landslide; calculate the number of rotations K of the insulated conductor around the compensation component and the displacement of the insulated conductor, using the following formula:

[0027] S=π·d·K

[0028] In the formula, S is the distance the insulated wire slides down, π represents pi, d is the diameter of the compensation component, and K is the number of rotations of the compensation component; since the speed of the sensing element is reflected by the moving speed of the insulated wire, that is, the displacement length l of the sensing element in the vertical direction at time ti. i The relevant calculation formulas are as follows:

[0029]

[0030] In the formula, l i This refers to the length of the deformation area of ​​the sensor after being subjected to landslide displacement, which is the magnitude of the landslide's sliding displacement.

[0031] Secondly, the present invention provides a landslide displacement measurement system, comprising: a setting module for burying a detection sensor on a vertical horizontal plane of the landslide body, connecting both ends of the detection sensor to a voltmeter at the top of the landslide body via insulated wires, collecting monitoring data and performing preprocessing; a calibration module for measuring the magnetic field strength and magnetic field line direction on the landslide body, calculating the angle between the magnetic field lines and the detection sensor, monitoring the displacement distance and acquisition time interval of the compensation module end in the detection sensor, calculating the displacement velocity of the detection sensor, constructing a calibration model using the monitoring data, calculating calibration parameters, and obtaining displacement parameters; and a calculation module for recording the voltage monitored by the voltmeter at all times when the landslide body slides, calculating the actual displacement of the detection sensor in the magnetic field lines, and calculating and judging the landslide displacement in combination with the displacement parameters.

[0032] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a landslide displacement measurement method.

[0033] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of a landslide displacement measurement method.

[0034] The beneficial effects of this invention are that it records the displacement, displacement velocity, and displacement area of ​​deep landslides in real time based on Faraday's principle of electromagnetic induction. The detection is accurate, less affected by external environmental interference, and requires fewer detection devices. It accurately determines the magnitude of landslide movement and can accurately analyze the likelihood of landslides occurring. The detection body has strong toughness, meeting the requirements for detecting landslide displacement at different depths and reducing the possibility of damage to detection equipment. Attached Figure Description

[0035] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart of a landslide displacement measurement method. Detailed Implementation

[0037] To make the above-mentioned objects, features, and advantages of the present invention more readily understood, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0038] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0039] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0040] Example 1

[0041] Reference Figure 1 This is the first embodiment of the present invention, which provides a landslide displacement measurement method, including:

[0042] S1: Install detection sensors along the vertical horizontal plane of the landslide body, connect the two ends of the detection sensors to the top of the landslide body via insulated wires to connect to a voltmeter, collect monitoring data and perform preprocessing.

[0043] Specifically, based on expertise in geology, meteorology, and environmental science, suitable landslide monitoring areas are selected, monitoring points are determined, and corresponding monitoring equipment is deployed.

[0044] Install rain gauges to collect rainfall data, install temperature and humidity sensors to monitor ambient temperature and humidity, install soil moisture and density sensors to monitor soil parameters of the landslide body, and use geological exploration equipment to obtain data on stratigraphic structure and rock type.

[0045] Configure sensors to collect data periodically, ensuring that the data is recorded and stored at appropriate time intervals.

[0046] Meteorological Data: Ambient Rainfall: Collected using rain gauges, rainfall can be quantitatively measured, which is crucial for assessing landslide risk as rainfall is one of the main triggering factors for landslides. Ambient Temperature: Data from thermometers or weather stations shows that temperature changes can affect soil moisture and density, thus influencing landslide risk. Ambient Humidity: Collected using hygrometers, changes in ambient humidity affect soil moisture conditions. Soil Parameters: Landslide Soil Moisture: Measured using soil moisture sensors, this is a key factor in determining soil stability. Landslide Soil Density: Measured using soil densitometers, changes in density reflect soil compaction and are important for landslide risk assessment. Geological Data: Stratigraphic Structure: Obtained through geological exploration, understanding stratigraphic structure helps predict potential landslide areas. Rock Type and Distribution: This data can be obtained through geological mapping; different rock types have different abilities to absorb and retain water, thus affecting landslide risk. Historical Landslide Data: Past Landslide Events: Collecting and analyzing data on past landslide events, including occurrence time and historical landslide displacement, is invaluable for understanding landslide patterns and risk assessment.

[0047] Perform data cleaning, check data integrity, remove outlier data points, and normalize data from different sources and scales to ensure that data are comparable under the same standard.

[0048] All data is timestamped, and data with inconsistent time intervals is processed by interpolation or other methods to extract relevant features from the raw data.

[0049] Data collected from different sensors will be integrated into a unified dataset to ensure data alignment and integrity, facilitating modeling and analysis.

[0050] A preliminary analysis of the preprocessed data is performed to identify trends and determine the data to be used for model training and validation.

[0051] S2: Measure the magnetic field strength and direction of magnetic field lines on the landslide body, calculate the angle between the magnetic field lines and the detection sensor, use the monitoring data to build a correction model, calculate the correction parameters, and obtain the displacement parameters.

[0052] Specifically, the magnetometer for magnetic field strength should be a model from Beijing Heng'aode Instruments Co., Ltd.

[0053] The H17565 geomagnetic field measuring instrument has an accuracy better than ±0.5%FS and a sensitivity of 1nT. The data acquisition equipment uses the ADT-M100S station-type data acquisition instrument terminal from Beijing Beike Andi Technology Development Co., Ltd. to collect various data. The instrument for measuring the displacement distance at the compensation module end is a torque sensor.

[0054] Because the landslide occurs in an irregular state, displacement can occur at different depths. Therefore, a detection sensor is inserted into the landslide to detect the deep-seated displacement. The displacement at different depths is also different. In order to clearly understand the actual area of ​​the landslide, the detection sensor is assumed to be in a static state in areas not affected by the landslide, while in a deformed state in areas affected by the landslide.

[0055] The detection sensor is a flexible structure that allows for coordinated deformation with the soil and rock mass. It comprises an elastic conductor, with each end connected to an insulated wire. These two insulated wires are connected to a voltage transformer and a data acquisition device, forming a closed circuit. The elastic conductor consists of a single spirally wound conductor, with the two connected spirals tightly fitted together without gaps. Once installed, in the event of a landslide, the detection sensor will deform under the pressure of the landslide. This deformation will cause the insulated wire to elongate, which in turn will pull on a compensation module. The compensation module compensates for the elongation of the insulated wire, allowing the velocity at the end of the insulated wire to be calculated based on the amount of elongation.

[0056] Assume the vector of the magnetic field sensor in the ground coordinate system is B = (B x B y B z The direction vector of the detected sensor in the same coordinate system is D = (D x D y D z The angle between the magnetic field lines and the sensing element is calculated using the following formula:

[0057]

[0058] In the formula, θ is the angle between the magnetic field lines and the sensing element, B·D is the dot product of the two vectors, |B| is the magnitude of the magnetic field vector, |D| is the magnitude of the direction vector of the sensing element, and γ i To adjust the parameters used to control the influence of each component, where n is the number of dimensions considered, and B... i Let D be the vector of the i-th magnetic field sensor in the ground coordinate system. i Let be the vector of the i-th detected sensor in the ground coordinate system.

[0059] A calibration model is constructed using the processed monitoring data. The calculation formula for the calibration model is as follows:

[0060]

[0061] In the formula, P is the correction parameter at time t, t is the monitoring time interval, α, λ, β, μ, δ, and ε are adjustment parameters, R is the environmental rainfall at time t1, T is the environmental temperature, H(t) is the environmental humidity at a series of time points t, T0 is the reference temperature, N is the number of time points for humidity measurement, n is the number of data points for the distribution of stratigraphic structure and rock type, and d i Let w be the stratigraphic structure of the i-th data point. k r is the weighting coefficient for rock type. i,k Let m represent the distribution of the k-th rock type at the i-th data point, where m is the number of rock types.

[0062]

[0063] P t For historical correction parameters, P j For the correction parameter calculated in the j-th monitoring, w j As a weighting factor, more recent monitoring data are assigned higher weights, and M is the total number of historical monitoring data.

[0064] The correction parameters are compared with historical correction parameters to obtain the comparison results. The comparison rules are as follows:

[0065] Set the historical adjustment parameter as the comparison threshold. When the correction parameter P ≤ the historical correction parameter P t If the current monitoring environment is stable, continue with subsequent measurement and calculation, maintain the current test parameters, use the correction parameter of time t as the displacement parameter, and do not adjust the displacement parameter.

[0066] When the correction parameter P > the historical correction parameter P t When the test environment is in a variable state, the displacement parameters need to be adjusted using the following formula:

[0067]

[0068] In the formula, C n K is the adjusted correction parameter. i This is for adjusting the coefficient.

[0069] S3: When the landslide body slides, record the voltage at all times using a voltmeter, calculate the actual displacement of the sensing body in the magnetic field lines, and combine the displacement parameters to calculate and determine the landslide displacement.

[0070] Specifically, when a landslide occurs, the velocity at the end of the insulated conductor is calculated based on the elongation of the insulated conductor. The displacement velocity at the end of the compensation module is:

[0071]

[0072] In the formula, V is the velocity of the sensing element moving along the direction of the magnetic field lines;

[0073] According to Faraday's law of electromagnetic induction, at t i The displacement at time t is:

[0074]

[0075] In the formula, B is the magnetic field strength, in amperes per meter; L is the displacement along the direction of the magnetic field lines, in meters; E is the voltage of the closed circuit, in volts; θ is the angle between the magnetic field lines and the sensing element, in degrees; T is the data acquisition time interval, in seconds; L... i This represents the sliding displacement of the sensing element in the magnetic field lines. The displacement region after deformation of the sensing element is the displacement of the sensing element in the vertical direction. The actual sliding displacement of the landslide is calculated using the following formula:

[0076]

[0077] In the formula, l i The actual sliding displacement of the landslide is determined by l. i The displacement of the landslide is compared to analyze the sliding situation and determine whether the landslide has a tendency to shift across the entire area.

[0078] The formulas for calculating the number of rotations K of the insulated wire around the compensation component and the displacement of the insulated wire are as follows:

[0079] S=π·d·K

[0080] Wherein, the displacement distance S is the distance the insulated wire slides down, π represents pi; d represents the diameter of the compensation component in centimeters; and K represents the number of rotations of the compensation component.

[0081] Since the velocity of the sensing element is represented by the moving speed of the insulated wire, that is, the displacement length l of the sensing element in the vertical direction at time ti. i The relevant calculation formulas are as follows:

[0082]

[0083] In the formula, l i This refers to the length of the deformation area of ​​the sensor after being subjected to landslide displacement, which is the magnitude of the landslide's sliding displacement.

[0084] Furthermore, this embodiment also provides a landslide displacement measurement system, including: a setting module, used to bury a detection sensor on the vertical horizontal plane of the landslide body, connect both ends of the detection sensor to a voltmeter at the top of the landslide body via insulated wires, collect monitoring data and perform preprocessing; a calibration module, used to measure the magnetic field strength and magnetic field line direction on the landslide body, calculate the angle between the magnetic field line and the detection sensor, monitor the displacement distance and acquisition time interval of the compensation module end in the detection sensor, calculate the displacement velocity of the detection sensor, construct a calibration model using the monitoring data, calculate calibration parameters, and obtain displacement parameters; and a calculation module, used to record the voltage monitored by the voltmeter at all times when the landslide body slides, calculate the actual displacement of the detection sensor in the magnetic field line, and calculate and judge the landslide displacement in combination with the displacement parameters.

[0085] Specifically, it also includes a compensation module comprising a compensation component and a coil counting component; the compensation component is used to compensate for the deformation of the detection sensor to reduce the possibility of the insulated wire breaking; the coil counting component is installed on the compensation component and is used to calculate the number of turns K of the insulated wire around the compensation component.

[0086] The compensation module includes two rotating rollers, each rotatably connected to the inner cavity of the elastic conductor. Insulated wires and elastic ropes are wound around one end of each roller, and the joints of the two elastic ropes are connected by reinforcing ropes. Torque sensors are installed at the connection points between the rotating rollers and the sidewalls of the elastic conductor. Since the elastic ropes on the two rotating rollers are connected as a whole by the reinforcing ropes, and the elongation of the reinforcing ropes is related to the deformation of the elastic conductor, deformation causes the reinforcing ropes to pull the elastic ropes along the rotating rollers, thus rotating the rollers. During rotation, the insulated wires at both ends of the rotating rollers also stretch accordingly, compensating for the elongation of the insulated wires caused by the deformation of the elastic conductor. The number of rotations of the rotating rollers is measured by the torque sensors; this number is the number of rotations of the compensation component. Because the elastic ropes and insulated wires are mounted on the same rotating roller, they rotate in the same direction, but they must also maintain a state of simultaneous sliding elongation. Therefore, the winding directions of the elastic ropes and insulated wires are kept opposite. Because an elastic conductor can deform independently on each surface, support rods are installed inside the conductor's cavity. These support rods have holes through which reinforcing ropes pass. Multiple support rods are installed. Once the elastic conductor deforms, the deformed conductor will cause the support rods to deform synchronously. This deformation of the support rods will then cause the reinforcing ropes to slide, ensuring that the reinforcing ropes are stretched whenever the elastic conductor deforms on each surface. The sensing element is connected to an insulated wire. The deformation of the sensing element will cause the insulated wire to move. To calculate the displacement velocity of the sensing element, the sliding velocity at the end of the insulated wire can be used. Velocity is a vector quantity. The Pythagorean theorem can be used to calculate the velocity in each direction. However, when calculating the velocity in the insulated wire, since the distance between the insulated wire and the sensing element is constant, a large displacement may break the insulated wire, causing a circuit break. Once broken, Faraday's law of electromagnetic induction cannot be used for further measurement. Therefore, compensation for the movement of the insulated wire is necessary.

[0087] This embodiment also provides a computer device applicable to landslide displacement measurement methods, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement all or part of the steps of the method described in the above embodiments of the present invention.

[0088] This embodiment also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, it performs the method in any optional implementation of the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0089] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0090] As can be seen from the above, this invention records the displacement, displacement velocity, and displacement area of ​​deep landslides in real time based on the Faraday electromagnetic induction principle. The detection is accurate, less affected by external environmental interference, and requires fewer detection devices. It accurately determines the magnitude of landslide movement and can accurately analyze the likelihood of landslides occurring. The detection body has strong toughness, meeting the requirements for detecting landslide displacement at different depths and reducing the possibility of damage to detection equipment.

[0091] Example 2

[0092] Referring to Table 1, the second embodiment of the present invention provides a landslide displacement measurement method. To verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0093] Table 1 Comparison of Technical Features

[0094]

[0095] As can be seen from the above, this invention records the displacement, displacement velocity, and displacement area of ​​deep landslides in real time based on the Faraday electromagnetic induction principle. The detection is accurate, less affected by external environmental interference, and requires fewer detection devices. It accurately determines the magnitude of landslide movement and can accurately analyze the likelihood of landslides occurring. The detection body has strong toughness, meeting the requirements for detecting landslide displacement at different depths and reducing the possibility of damage to detection equipment.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for measuring landslide displacement, characterized in that: include, Detection sensors are buried along the vertical and horizontal plane of the landslide body. The two ends of the detection sensors are connected to the top of the landslide body and connected to a voltmeter through insulated wires to collect monitoring data and perform preprocessing. Measure the magnetic field strength and direction of magnetic field lines on the landslide body, calculate the angle between the magnetic field lines and the detection sensor, use the monitoring data to build a correction model, calculate the correction parameters, and obtain the displacement parameters; When the landslide body slides, the voltage monitored by the voltmeter is recorded, the actual displacement of the sensing body in the magnetic field lines is calculated, and the landslide displacement is determined by combining the displacement parameters.

2. The landslide displacement measurement method as described in claim 1, characterized in that: The monitoring data includes meteorological data, soil parameters, geological data, historical landslide data, and surface movement monitoring data; meteorological data includes environmental rainfall, environmental temperature, and environmental humidity; soil parameters include soil moisture and density of the landslide body; geological data includes stratigraphic structure and rock type and distribution; historical landslide data includes historical occurrence time and historical landslide displacement.

3. The landslide displacement measurement method as described in claim 2, characterized in that: The collection of monitoring data includes the following steps. Based on expertise in geology, meteorology, and environmental science, select suitable landslide monitoring areas, determine monitoring points, and deploy corresponding monitoring equipment; Install rain gauges to collect rainfall data, install temperature and humidity sensors to monitor ambient temperature and humidity, install soil moisture and density sensors to monitor soil parameters of the landslide body, and use geological exploration equipment to obtain data on stratigraphic structure and rock type. Configure sensors to collect data periodically, ensuring that the data is recorded and stored at appropriate time intervals.

4. The landslide displacement measurement method as described in claim 3, characterized in that: The preprocessing includes the following steps: Perform data cleaning, check data integrity, remove outlier data points, and normalize data from different sources and scales to ensure that data are comparable under the same standard. All data is timestamped, and data with inconsistent time intervals is processed by interpolation or other methods to extract relevant features from the raw data. Data collected from different sensors will be integrated into a unified dataset to ensure data alignment and integrity, facilitating modeling and analysis. A preliminary analysis of the preprocessed data is performed to identify trends and determine the data to be used for model training and validation.

5. The landslide displacement measurement method as described in claim 4, characterized in that: The calculation of the angle between the magnetic field lines and the detection sensor includes assuming that the vector of the magnetic field sensor in the ground coordinate system is B = (B x B y B z The direction vector of the detected sensor in the same coordinate system is D = (D x D y D z The angle between the magnetic field lines and the sensing element is calculated using the following formula: In the formula, θ is the angle between the magnetic field lines and the sensing element, B·D is the dot product of the two vectors, |B| is the magnitude of the magnetic field vector, |D| is the magnitude of the direction vector of the sensing element, and γ i To adjust the parameters used to control the influence of each component, where n is the number of dimensions considered, and B... i Let D be the vector of the i-th magnetic field sensor in the ground coordinate system. i Let be the vector of the i-th detected sensor in the ground coordinate system.

6. The landslide displacement measurement method as described in claim 5, characterized in that: The calculation of the correction parameters includes the following steps. A calibration model is constructed using the processed monitoring data. The calculation formula for the calibration model is as follows: In the formula, P is the correction parameter at time t, t is the monitoring time interval, α, λ, β, μ, δ, and ε are adjustment parameters, R is the environmental rainfall at time t1, T is the environmental temperature, H(t) is the environmental humidity at a series of time points t, T0 is the reference temperature, N is the number of time points for humidity measurement, n is the number of data points for the distribution of stratigraphic structure and rock type, and d i Let w be the stratigraphic structure of the i-th data point. k r is the weighting coefficient for rock type. i,k Let m represent the distribution of the k-th rock type at the i-th data point, where m is the number of rock types. P t For historical correction parameters, P j For the correction parameter calculated in the j-th monitoring, w j As a weighting factor, more recent monitoring data are assigned higher weights, and M is the total number of historical monitoring data. The correction parameters are compared with historical correction parameters to obtain the comparison results. The comparison rules are as follows: Set the historical adjustment parameter as the comparison threshold. When the correction parameter P ≤ the historical correction parameter P t If the current monitoring environment is stable, continue with subsequent measurement and calculation, maintain the current test parameters, use the correction parameter of time t as the displacement parameter, and do not adjust the displacement parameter. When the correction parameter P > the historical correction parameter P t When the test environment is in a variable state, the displacement parameters need to be adjusted using the following formula: In the formula, C n K is the adjusted correction parameter. i This is for adjusting the coefficient.

7. The landslide displacement measurement method as described in claim 6, characterized in that: The calculation and determination of landslide displacement includes the following steps. When a landslide occurs, the velocity at the end of the insulated conductor is calculated based on the elongation of the insulated conductor. The displacement velocity at the end of the compensation module is: In the formula, V is the velocity of the sensing element moving along the direction of the magnetic field lines; According to Faraday's law of electromagnetic induction, at t i The displacement at time t is: In the formula, B is the magnetic field strength; L is the displacement along the direction of the magnetic field lines; E is the voltage of the closed circuit; θ is the angle between the magnetic field lines and the sensing element; T is the data acquisition time interval of the data acquisition device; and L... i To represent the sliding displacement of the sensing element in the magnetic field lines; The formula for calculating the actual sliding displacement of a landslide is as follows: In the formula, l i This refers to the actual sliding displacement that occurred during the landslide. The formulas for calculating the number of rotations K of the insulated wire around the compensation component and the displacement of the insulated wire are as follows: S=π·d·K In the formula, S is the distance the insulated wire slides down, π represents pi, d is the diameter of the compensation component, and K is the number of rotations of the compensation component. Since the velocity of the sensing element is represented by the moving speed of the insulated wire, that is, the displacement length l of the sensing element in the vertical direction at time ti. i The relevant calculation formulas are as follows: In the formula, l i This refers to the length of the deformation area of ​​the sensor after being subjected to landslide displacement, which is the magnitude of the landslide's sliding displacement.

8. A landslide displacement measurement system, based on the landslide displacement measurement method according to any one of claims 1 to 7, characterized in that: include, The module is used to bury detection sensors along the vertical and horizontal plane of the landslide body. The two ends of the detection sensors are connected to the top of the landslide body via insulated wires to access a voltmeter, collect monitoring data and perform preprocessing. The calibration module is used to measure the magnetic field strength and magnetic field line direction on the landslide body, calculate the angle between the magnetic field lines and the detection sensor, monitor the displacement distance and acquisition time interval of the compensation module end in the detection sensor, calculate the displacement velocity of the detection sensor, use the monitoring data to build a calibration model to calculate the calibration parameters, and obtain the displacement parameters. The calculation module is used to record the voltage monitored by the voltmeter at all times when the landslide body slides, calculate the actual displacement of the detection sensor in the magnetic field lines, and combine the displacement parameters to calculate and judge the landslide displacement.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the landslide displacement measurement method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the landslide displacement measurement method according to any one of claims 1 to 7.

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