A road slope displacement detection method, system and device

Abstract

The present invention relates to the field of displacement measurement technology, and in particular to a method, system and device for detecting the displacement of a road slope, the method comprising: obtaining a first slope displacement at a first monitoring moment and a second slope displacement at a second monitoring moment of a monitoring point; determining a first influence degree by the first slope displacement, the second slope displacement, the precipitation in a rainy period and the duration of the rainy period; determining a second influence degree according to the first influence degree, the height of the monitoring point relative to the ground and the height of a monitoring platform where the monitoring point is located; determining the possibility of instability of the monitoring platform in the future period by using the slope displacement, the second influence degree and the coefficient of the possibility of rainfall in the future period; correcting the original time interval of the monitoring platform by using the possibility to obtain the final time interval; and performing displacement detection on the monitoring point of the slope based on the final time interval. In this way, the present invention improves the prediction accuracy and real-time performance of the stability of the road slope.

Description

Technical Field

[0001] The present invention relates to the technical field of displacement measurement, and in particular to a method, system and equipment for detecting the displacement of a road slope. Background Art

[0002] The construction of roads will change the original topography. The slopes of rock and soil formed on both sides of the road are road slopes. The stability of road slopes directly affects traffic safety and the integrity of road facilities. Monitoring road slopes can provide early warning of landslides and rockfalls, protect the safety of pedestrians and vehicles, and maintain the integrity of the road surface and ancillary facilities.

[0003] In some scenarios, road slopes are often monitored by regular measurements, and monitoring personnel measure the displacement of monitoring points on the road slopes at regular intervals. However, in this way, the measurement time is fixed and cannot reflect the changes in the road slopes in real time. When the road slopes become unstable, it is impossible to detect and take measures in time. Moreover, due to the long measurement interval, even if the displacement changes of the road slopes are found, the best time for intervention may have been missed. In addition, the stability of the road slope is judged only based on the displacement changes of the monitoring points of the road slopes, ignoring the influence of external environmental factors on the stability of the road slopes. As a result, the prediction accuracy of the stability of the road slopes is low and the real-time performance is poor. Summary of the invention

[0004] In order to solve the technical problems of low prediction accuracy and poor real-time performance of road slope stability, the present invention aims to provide a road slope displacement detection method, system and device, and the technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for detecting the displacement of a road slope, including: obtaining a first slope displacement of a monitoring point on the slope of a target road at a first monitoring moment before a rainfall period and a second slope displacement at a second monitoring moment after the rainfall period; determining a first degree of influence of the monitoring point due to rainfall through the first slope displacement, the second slope displacement, the precipitation during the rainfall period, and the duration of the rainfall period; determining a second degree of influence of the monitoring platform due to rainfall according to the first degree of influence, the height of the monitoring point relative to the ground, and the height of a monitoring platform where the monitoring point is located; determining the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second degree of influence, and the probability coefficient of rainfall occurring in the future period; correcting the original time interval of the monitoring platform by using the probability to obtain a final time interval; and performing displacement detection on the monitoring point of the slope based on the final time interval.

[0006] Optionally, determining the first degree of influence of rainfall on the monitoring point through the first slope displacement, the second slope displacement, the precipitation during the rainfall period and the duration of the rainfall period includes: determining the degree of slope displacement deformation of the slope before the rainfall period through the first slope displacement at the adjacent first monitoring moment; determining the initial slope displacement rate of the slope through the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period; determining the slope displacement rate of the slope during the rainfall period according to the degree of slope displacement deformation and the initial slope displacement rate; determining the precipitation intensity of the rainfall period by using the precipitation during the rainfall period and the duration of the rainfall period; determining the first degree of influence of rainfall on the monitoring point according to the precipitation intensity during the rainfall period and the slope displacement rate of the slope during the rainfall period.

[0007] Optionally, determining the degree of slope displacement deformation of the slope before the rainfall period through the first slope displacements at adjacent first monitoring moments includes: calculating the absolute value of the slope displacement difference between the first slope displacements at adjacent first monitoring moments; averaging the absolute values ​​of the slope displacement differences and normalizing them to obtain the degree of slope displacement deformation.

[0008] Optionally, determining the initial slope displacement rate of the slope by using the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period includes: determining the difference between the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period as the initial slope displacement rate.

[0009] Optionally, determining the precipitation intensity of the rainfall period using the precipitation amount of the rainfall period and the duration of the rainfall period includes: converting the unit of the duration into a target unit; and normalizing the product of the precipitation amount of the rainfall period and the duration converted to the target unit to obtain the precipitation intensity.

[0010] Optionally, determining the second degree of influence of rainfall on the monitoring platform based on the first degree of influence, the height of the monitoring point relative to the ground, and the height of the monitoring platform where the monitoring point is located includes: averaging the first degrees of influence of the monitoring points at the same height in the monitoring platform to obtain a third degree of influence of rainfall on the monitoring points at the same height in the monitoring platform; calculating a first difference between the height of the monitoring points at the same height and the height of the monitoring platform, and normalizing the first difference to obtain a normalized difference; calculating a first product of the normalized difference and the third degree of influence; and averaging the first products of the monitoring points at each height in the monitoring platform to obtain a second degree of influence.

[0011] Optionally, the possibility of instability of the monitoring platform in the future period is determined by using the slope displacement of the monitoring points in the monitoring platform in the future period, the second influence degree and the possibility coefficient of rainfall in the future period, including: predicting the slope displacement of the monitoring points in the monitoring platform in the future period by using a prediction model; determining the volatility of the monitoring platform by using the slope displacement of the monitoring points in the monitoring platform in the future period; determining the possibility of instability of the monitoring platform in the future period based on the volatility, the second influence degree and the possibility coefficient of rainfall in the future period.

[0012] Optionally, the original time interval of the monitoring platform is corrected using the possibility to obtain the final time interval, including: determining whether the monitoring platform will become unstable in the future period based on the possibility; in the case of instability, calculating the second product of the number of days in the future period and the possibility; and determining the second difference between the original time interval and the second product as the final time interval.

[0013] In a second aspect, an embodiment of the present application provides a road slope displacement detection system, including: an acquisition module, used to acquire a first slope displacement of a monitoring point on the slope of a target road at a first monitoring moment before a rainfall period and a second slope displacement at a second monitoring moment after the rainfall period; a determination module, used to determine a first degree of influence of the monitoring point by rainfall through the first slope displacement, the second slope displacement, the precipitation during the rainfall period, and the duration of the rainfall period; the determination module, further used to determine a second degree of influence of the monitoring platform by rainfall according to the first degree of influence, the height of the monitoring point relative to the ground, and the height of the monitoring platform where the monitoring point is located; the determination module, further used to determine the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second degree of influence, and the probability coefficient of rainfall in the future period; a correction module, used to correct the original time interval of the monitoring platform by using the possibility to obtain a final time interval; and a detection module, used to perform displacement detection on the monitoring point of the slope based on the final time interval.

[0014] In a third aspect, an embodiment of the present application provides a road slope displacement detection device, which comprises: a processor and a memory; wherein the memory is used to store a computer program that can be run on the processor; and the processor is used to execute the program stored in the memory to implement the steps of the road slope displacement detection method mentioned in the first aspect.

[0015] The present invention has the following beneficial effects: the embodiment of the present invention first obtains the first slope displacement of the monitoring point of the slope of the target road at the first monitoring moment before the rainfall period and the second slope displacement at the second monitoring moment after the rainfall period; then determines the first degree of influence of the monitoring point affected by rainfall through the first slope displacement, the second slope displacement, the precipitation during the rainfall period and the duration of the rainfall period; then determines the second degree of influence of the monitoring platform affected by rainfall according to the first degree of influence, the height of the monitoring point relative to the ground and the height of the monitoring platform where the monitoring point is located; secondly, determines the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second degree of influence and the probability coefficient of rainfall in the future period; finally, uses the probability to correct the original time interval of the monitoring platform to obtain the final time interval; and performs displacement detection on the monitoring point of the slope based on the final time interval.

[0016] In this way, the embodiment of the present invention can analyze the slope displacement of the monitoring points before and after rainfall to determine the degree of influence of each monitoring point on the rainfall, and determine the degree of influence of rainfall on each monitoring platform according to the degree of influence of each monitoring point in the monitoring platform, and predict the possibility of instability of each monitoring platform in the future. Finally, the original time interval of the monitoring platform is corrected by the possibility of instability of the monitoring platform in the future, so as to determine the final time interval of each monitoring point according to the influence of rainfall on the monitoring platform, and perform displacement detection on the monitoring points of the slope according to the final time interval. In this way, the time interval determined according to the actual situation of the monitoring platform can reflect the changes of the road slope in real time, so as to timely discover the instability of the slope and take measures. In addition, the embodiment of the present invention also takes into account the influence of rainfall on the stability of the road slope, and improves the prediction accuracy and real-time performance of the stability of the road slope. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a method for detecting displacement of a road slope provided by an embodiment of the present invention;

[0019] Figure 2 A side view of a slope of a target road provided by one embodiment of the present invention;

[0020] Figure 3A schematic diagram of the distribution of monitoring points in a slope monitoring platform provided by an embodiment of the present invention;

[0021] Figure 4 A schematic diagram of a curve of monitoring time and displacement change of a monitoring point provided by an embodiment of the present invention;

[0022] Figure 5 A schematic structural diagram of a road slope displacement detection system provided by an embodiment of the present invention;

[0023] Figure 6 A schematic structural diagram of a road slope displacement detection device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a road slope displacement detection method, system and device proposed by the present invention, its specific implementation method, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0025] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0026] The following is a detailed description of a method, system and device for detecting displacement of a road slope provided by the present invention in conjunction with the accompanying drawings.

[0027] Embodiment 1:

[0028] See also Figure 1 , which shows a flow chart of a road slope displacement detection method provided by an embodiment of the present invention, including:

[0029] S101 , obtaining a first slope displacement of a monitoring point of a slope of a target road at a first monitoring time before a rainfall period and a second slope displacement at a second monitoring time after the rainfall period.

[0030] Specifically, the target road refers to the road that needs slope monitoring. The slope refers to the slope structure on both sides of the road. The slope of the target road is composed of multiple monitoring platforms. The monitoring platform refers to the steps of the slope. One step is a monitoring platform. By dividing the slope into monitoring platforms of different heights, the stability of the entire slope can be strengthened. Figure 2 As shown, Figure 2A side view of a slope of a target road provided by an embodiment of the present invention. In the embodiment of the present invention, three monitoring platforms are taken as an example, namely Figure 2 The first platform, the second platform and the third platform, each monitoring platform includes at least one monitoring point. The rainy period refers to the rainy season with frequent rainfall, which may include multiple rainfall periods, and each rainfall period may last for a period of time. The monitoring point refers to the monitoring position set on each monitoring platform of the slope, at which the displacement of the position can be monitored to obtain the deformation information of the slope at different elevations. When precipitation occurs, the displacement changes of different monitoring points on different platforms are different due to the influence of stress and its own gravity.

[0031] Furthermore, the first slope displacement and the second slope displacement can be calculated based on the horizontal displacement and vertical displacement of the monitoring point. The specific process is as follows: a total station is set up on a stable reference point on the slope of the target road, and the measurement parameters of the total station are set. The three-dimensional coordinates of the monitoring point are calculated based on the known coordinates of the reference point and the measurement data of the horizontal displacement and vertical displacement of the monitoring point on the slope of the target road. The same measurement is then performed regularly to calculate the difference between the three-dimensional coordinates of the monitoring point measured each time and the initial coordinates in the horizontal and vertical directions. Then, the average value of the difference between the three-dimensional coordinates and the initial coordinates in the horizontal direction and the difference between the three-dimensional coordinates and the initial coordinates in the vertical direction is calculated to obtain the slope displacement of the monitoring point.

[0032] S102, determining a first degree of influence of the monitoring point by the rainfall according to the first side slope displacement, the second side slope displacement, the precipitation during the rainfall period, and the duration of the rainfall period.

[0033] Specifically, for the top platform of the slope, precipitation significantly increases the vertical stress at the top of the slope, and the rise in groundwater level leads to a decrease in effective stress and a decrease in compressive strength. At the same time, the lateral stress makes the soil tend to slide down the slope, and the lateral constraint is weak, and the displacement rate of the top of the slope is large. For the platform in the middle of the slope, the increase in vertical stress is smaller than that of the top of the slope, and the surrounding soil has a certain constraint effect. It is subject to the lateral thrust of the upper soil, but there are constraints on both the upper and lower sides, and the displacement is smaller than the top of the slope. For the bottom platform of the slope, although it bears the pressure of the increased weight of the upper soil, it has a high bearing capacity, the rise in groundwater level has little effect on the effective stress, and the vertical displacement is small. And there is a strong lateral constraint of the soil on both sides, which can resist lateral displacement, and the displacement is less affected. Further, the instability of the slope may be caused by precipitation, or it may be caused by the displacement and deformation of the monitoring point itself. The displacement of the slope will also change when there is no rainfall. For example, due to the creep of the rock and soil, the rock and soil around the monitoring point will produce uneven deformation, which will cause the displacement change of the monitoring point. This part of the displacement is superimposed on the displacement caused by factors that really need to be studied, such as precipitation, which makes the subsequent calculation of the influence of precipitation on the monitoring point incorrect. Therefore, the displacement performance of the monitoring point before rainfall is analyzed to correct the displacement change of the monitoring point during rainfall. Therefore, the embodiment of the present invention calculates the slope displacement of each monitoring point and analyzes the influence of precipitation on different monitoring platforms.

[0034] Further, when determining the first degree of influence, as an optional embodiment of the present invention, the degree of slope displacement deformation of the slope before the rainfall period is first determined by the first slope displacement at the adjacent first monitoring moment; then the initial slope displacement rate of the slope is determined by the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period; then the slope displacement rate of the slope during the rainfall period is determined based on the degree of slope displacement deformation and the initial slope displacement rate; secondly, the precipitation intensity of the rainfall period is determined using the precipitation amount during the rainfall period and the duration of the rainfall period; finally, the first degree of influence of the monitoring point caused by rainfall is determined based on the precipitation intensity during the rainfall period and the slope displacement rate of the slope during the rainfall period.

[0035] Specifically, the more obvious the change trend of the slope displacement of the monitoring point before the rainfall period, the more likely it is that the change in the slope displacement before or after the rainfall period is caused by the slope itself. Therefore, by analyzing the deformation degree of the slope displacement of the monitoring point before the rainfall period, the slope displacement rate per unit time of the monitoring point during the rainfall period is corrected. Among them, the greater the difference between the slope displacements monitored by the monitoring point at two adjacent monitoring moments within a period of time before the rainfall period, the more obvious the change trend of the monitoring point, that is, the greater the deformation degree of the slope displacement before the rainfall period. The degree of deformation of the slope displacement before the rainfall period is determined by the change in displacement at adjacent monitoring moments.

[0036] Furthermore, when determining the degree of slope displacement deformation, as an optional embodiment of the present invention, the absolute value of the slope displacement difference between the first slope displacements at each adjacent first monitoring moment is first calculated; then the absolute values ​​of the slope displacement differences are averaged and normalized to obtain the degree of slope displacement deformation.

[0037] Specifically, the degree of slope displacement deformation can be calculated using the following formula:

[0038]

[0039] In the above formula, Indicates the degree of slope displacement deformation before the rainfall period. It represents the first slope displacement monitored by the monitoring point at the nth first monitoring moment before rainfall period i. It represents the first slope displacement monitored at the n-1th first monitoring moment between rainfall period i and the previous rainfall period i-1. Indicates the change of slope displacement. The slope displacement deformation degree before rainfall period i is determined by the difference between the slope displacement of the monitoring point during rainfall period i and the previous rainfall period i-1. , the greater the change, the greater the degree of slope displacement deformation The bigger. represents the number of first monitoring moments before rainfall period i. Represents the normalization function, which is used to Normalize it so that its value is in the range of 0 to 1.

[0040] Further, when determining the initial rate of slope displacement, as an optional embodiment of the present invention, the difference between the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period is determined as the initial rate of slope displacement.

[0041] Specifically, the initial slope displacement rate can be calculated using the following formula:

[0042]

[0043] In the above formula, represents the initial slope displacement rate during rainfall period i. It represents the second slope displacement of the monitoring point monitored at the second monitoring time most recently after rainfall period i. It indicates the first slope displacement of the monitoring point monitored at the first monitoring moment before rainfall period i.

[0044] Further, when determining the slope displacement rate during the rainfall period, as an optional embodiment of the present invention, the slope displacement rate during the rainfall period may be calculated using the following formula:

[0045]

[0046] In the above formula, represents the initial slope displacement rate during rainfall period i. Indicates the degree of slope displacement deformation before the rainfall period. represents the slope displacement rate of the monitoring point in rainfall period i after correction.

[0047] Furthermore, the slope displacement rate of the monitoring point during each rainfall period The larger the value, the greater the degree of influence of precipitation on the current monitoring point. For rainfall periods with greater precipitation intensity, it can better reflect the degree of influence of precipitation on the slope displacement of the monitoring point. Therefore, by calculating the precipitation intensity at each rainfall moment, the precipitation intensity of each rainfall period is used as the weight of the displacement rate of the monitoring point during the rainfall period, and then the degree of influence of precipitation on the monitoring point is determined. When determining the precipitation intensity of a rainfall period, as an optional embodiment of the present invention, the unit of duration is first converted to the target unit; then the product of the precipitation in the rainfall period and the duration converted to the target unit is normalized to obtain the precipitation intensity.

[0048] Specifically, the unit of duration is day, which is converted into the target unit in the embodiment of the present invention, and the target unit can be hour. During a rainfall period, the greater the rainfall amount and the longer the duration of the rainfall, the greater the rainfall intensity of the rainfall period. Therefore, the rainfall intensity is determined by the rainfall amount and duration of the rainfall period. The rainfall intensity of the rainfall period is calculated as shown in the following formula:

[0049]

[0050] In the above formula, represents the precipitation intensity in rainfall period i. represents the precipitation in rainfall period i. Indicates the duration of rainfall in rainfall period i. The duration is in days, which is converted to hours. The larger the value, the greater the precipitation intensity during the rainfall period.

[0051] Furthermore, when determining the first degree of influence of rainfall on the monitoring point, the degree of influence of precipitation on the monitoring point is calculated according to the slope displacement rate of the monitoring point during each rainfall in the rainy season, and the precipitation during each rainfall period is used as the weight coefficient of the slope displacement rate of the rainfall monitoring point. As an optional embodiment of the present invention, the first degree of influence can be calculated using the following formula:

[0052]

[0053] In the above formula, Indicates the first degree of influence of rainfall on the monitoring point v. represents the slope displacement rate of the monitoring point in rainfall period i after correction. represents the precipitation intensity of rainfall period i. When the precipitation intensity of rainfall period i is greater, the rainfall period can better reflect the influence of precipitation on the slope displacement of the monitoring point. I represents the number of rainfall periods in the rainy season. The greater the slope displacement rate of monitoring point v in rainfall period i, the greater the displacement change of monitoring point v is affected by precipitation, that is, The bigger.

[0054] S103: Determine a second degree of influence of the monitoring platform caused by rainfall according to the first degree of influence, the height of the monitoring point relative to the ground, and the height of the monitoring platform where the monitoring point is located.

[0055] Specifically, the above embodiments of the present invention can be used to determine the influence of rainfall on each monitoring point on the road slope. In order to determine whether the road slope is unstable, the monitoring points are distributed in an array. Figure 3 As shown, Figure 3 A schematic diagram of the distribution of monitoring points in a slope monitoring platform provided for an embodiment of the present invention, wherein the monitoring points 401 of each monitoring platform are arranged in an array, and for each monitoring platform, the monitoring points at the same height of the monitoring platform are similarly affected by precipitation, and the higher the height of the monitoring point, the greater the possibility of being affected by precipitation.

[0056] Furthermore, when determining the second degree of influence, as an optional embodiment of the present invention, the first degrees of influence of the monitoring points at the same height in the monitoring platform are first averaged to obtain the third degree of influence of the monitoring points at the same height in the monitoring platform affected by rainfall; then the first difference between the monitoring points at the same height and the height of the monitoring platform is calculated, and the first difference is normalized to obtain the normalized difference; then the first product of the normalized difference and the third degree of influence is calculated; finally, the first products of the monitoring points at each height in the monitoring platform are averaged to obtain the second degree of influence.

[0057] Specifically, the third degree of influence of rainfall on monitoring points at the same height in the monitoring platform in the embodiment of the present invention can be calculated using the following formula:

[0058]

[0059] In the above formula, Indicates the monitoring point at the same height of monitoring platform k The third degree of impact is affected by precipitation. It indicates the first degree of influence of precipitation on the nth monitoring point at the same height in the monitoring platform k of the road slope. is the number of monitoring points at the same height in the monitoring platform k of the road slope.

[0060] Further, when determining the second degree of influence of rainfall on the monitoring platform, as an optional embodiment of the present invention, the following formula may be used for calculation:

[0061]

[0062] In the above formula, It represents the second impact degree of rainfall on the monitoring platform k. Indicates the monitoring points at the same height of monitoring platform k The third degree of impact is affected by precipitation. Indicates the height of the monitoring point m at the same height. Indicates the height of the monitoring platform k, where the height of the monitoring platform refers to the height between the lower edge of the monitoring platform and the ground. The height of the monitoring point m at the same height in the monitoring platform k is used as the weight coefficient of the degree of influence of precipitation on the monitoring point. M represents the number of all monitoring points in the same monitoring platform k. The influence of precipitation on the monitoring platform k is determined by the first influence degree of the monitoring points at all heights affected by precipitation. The larger the value, the greater the impact on the platform.

[0063] S104, determining the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second impact degree and the probability coefficient of rainfall in the future period.

[0064] Specifically, the changes in the displacement of monitoring points at different times in historical records can be used to determine the slope stability of the monitoring points at each time. Due to the influence of rainfall, different monitoring platforms are subject to different degrees of deformation due to the influence of rainfall. Therefore, by analyzing the volatility of each monitoring platform at each moment, the possibility of slope instability at each monitoring platform is predicted based on the possibility of rainfall in the next few days and the degree of impact of rainfall on each monitoring platform.

[0065] Furthermore, the slope displacement of the monitoring point in the future period refers to the change in the slope displacement of the monitoring point after the current moment. When determining the slope displacement in the future period, the Long Short-Term Memory (LSTM) model can be used to predict the displacement change of the monitoring point. By learning the historical data through the LSTM model, the slope displacement rate of the monitoring point with nearly one month of historical data can be input into the model to predict the slope displacement of each monitoring point in the next month. Among them, the historical data can be the slope displacement of all monitoring points on the slope within three months with the most rainfall and the largest rainfall in a year. When using LSTM prediction, one month of historical data can be selected and input into LSTM to predict the displacement change in the future. The slope displacement of each monitoring point is a process that is constantly evolving, such as Figure 4 As shown, Figure 4 A schematic diagram of a monitoring time and displacement change curve of a monitoring point provided by an embodiment of the present invention, from Figure 4 It can be seen that as time changes, the displacement of the monitoring point also changes accordingly.

[0066] Furthermore, when determining the possibility that the monitoring platform will become unstable in the future, as an optional embodiment of the present invention, the prediction model is first used to predict the slope displacement of the monitoring points in the monitoring platform in the future; then the slope displacement of the monitoring points in the monitoring platform in the future is used to determine the volatility of the monitoring platform; finally, the possibility that the monitoring platform will become unstable in the future is determined based on the volatility, the second impact degree and the probability coefficient of rainfall in the future.

[0067] Specifically, the prediction model can be an LSTM model. By learning the historical data through the LSTM model, the slope displacement rate of the monitoring point with the historical data of nearly one month can be input into the model to predict the slope displacement of each monitoring point in the next month. After predicting the displacement time series of all monitoring points, the volatility of the monitoring platform is determined. The volatility of the monitoring platform can be calculated using the following formula:

[0068]

[0069] In the above formula, Represents the volatility of monitoring platform k. It is expressed as the slope displacement at the cth monitoring point in the monitoring platform k at the lth monitoring moment in the future period. It is expressed as the slope displacement of the cth monitoring point in the monitoring platform k at the previous monitoring time l-1. Represents the number of monitoring points in monitoring platform k. It represents the variance of the slope displacement of the cth monitoring point in the monitoring platform k. The larger the variance, the worse the stability of the monitoring point. The volatility of the monitoring platform k is obtained by the mean value of the variance of the slope displacement of each monitoring point. The larger the value, the stronger the volatility of the monitoring platform.

[0070] Further, when determining the possibility that the monitoring platform will become unstable in the future, as an optional embodiment of the present invention, the following formula may be used to calculate the possibility that the monitoring platform will become unstable in the future:

[0071]

[0072] In the above formula, It indicates that the monitoring platform k may become unstable in the future. It represents the second impact degree of rainfall on the monitoring platform k. It is the probability coefficient of rainfall occurring in the region in the future, which can be determined by the meteorological system based on current meteorological conditions and historical data. Indicates the volatility of monitoring platform k. The stronger the volatility of monitoring platform k, the The larger the value is, the greater the impact of precipitation on the fluctuation of the monitoring platform is, indicating that the possibility of instability of the monitoring platform k is greater, that is, The bigger.

[0073] It is worth noting that when rainfall occurs in the future, it will have different impacts on the displacement of different monitoring platforms. The possibility of instability of the monitoring platform can be determined by the impact of rainfall on different monitoring platforms and the stability of the current monitoring platform. The more stable the displacement of the monitoring platform in the future time period and the smaller the impact of rainfall on the monitoring platform, the smaller the possibility of instability of the monitoring platform.

[0074] S105, using the possibility to correct the original time interval of the monitoring platform to obtain the final time interval.

[0075] Specifically, when it is found through the above-mentioned embodiment of the present invention that the monitoring platform is more likely to be unstable in the future, it means that it is necessary to focus on the displacement changes of the monitoring points of the monitoring platform. Therefore, it is necessary to correct the original time interval of the monitoring platform. As an optional embodiment of the present invention, first determine whether the monitoring platform will be unstable in the future according to the possibility; in the case of instability, calculate the second product of the number of days in the future period and the possibility; finally, determine the second difference between the original time interval and the second product as the final time interval.

[0076] Specifically, the embodiment of the present invention determines whether the monitoring platform will be unstable in the future period by setting a threshold. When the possibility is greater than the threshold, it indicates that instability will occur in the future period, and the total number of days in the future period is determined. As an optional embodiment of the present invention, the following formula can be used to calculate the final time interval:

[0077]

[0078] In the above formula, Indicates the final time interval for monitoring platform k. Indicates the original monitoring time interval, such as 10 days in the embodiment of the present invention. Represents the duration of a future period in days. Indicates that monitoring platform k may become unstable in the future. At this time, the greater the possibility of instability of the platform, the shorter the final time interval of monitoring of the monitoring platform. At this time, different monitoring intervals can be set for different monitoring platforms to carry out real-time monitoring of the road slope, so that rescue measures can be taken in time when the slope is unstable.

[0079] S106, performing displacement detection on the monitoring points of the slope based on the final time interval.

[0080] Specifically, after the final time interval is obtained, the displacement detection is performed on the monitoring points of the slope according to the final time interval.

[0081] The embodiment of the present invention can analyze the slope displacement of the monitoring points before and after rainfall to determine the degree of influence of each monitoring point on rainfall, and determine the degree of influence of rainfall on each monitoring platform according to the degree of influence of each monitoring point in the monitoring platform, and predict the possibility of instability of each monitoring platform in the future. Finally, the original time interval of the monitoring platform is corrected by the possibility of instability of the monitoring platform in the future, so as to determine the final time interval of each monitoring point according to the influence of rainfall on the monitoring platform, and perform displacement detection on the monitoring points of the slope according to the final time interval. In this way, the time interval determined according to the actual situation of the monitoring platform can reflect the changes of the road slope in real time, so as to timely discover the instability of the slope and take measures. In addition, the embodiment of the present invention also takes into account the influence of rainfall on the stability of the road slope, and improves the prediction accuracy and real-time performance of the stability of the road slope.

[0082] Embodiment 2:

[0083] Corresponding to the road slope displacement detection method provided in the above embodiment, based on the same technical concept, the embodiment of the present application also provides a road slope displacement detection system, which is used to execute the road slope displacement detection method. Figure 5A schematic diagram of a road slope displacement detection system for implementing various embodiments of the present application is shown in FIG. Figure 5 As shown. The road slope displacement detection system 600 includes: an acquisition module 601, which is used to acquire the first slope displacement of the monitoring point of the slope of the target road at the first monitoring moment before the rainfall period and the second slope displacement at the second monitoring moment after the rainfall period; a determination module 602, which is used to determine the first degree of influence of the monitoring point affected by rainfall through the first slope displacement, the second slope displacement, the precipitation in the rainfall period and the duration of the rainfall period; the determination module 602, which is also used to determine the second degree of influence of the monitoring platform affected by rainfall according to the first degree of influence, the height of the monitoring point relative to the ground and the height of the monitoring platform where the monitoring point is located; the determination module 602, which is also used to determine the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second degree of influence and the probability coefficient of rainfall in the future period; the correction module 603, which is used to correct the original time interval of the monitoring platform by using the possibility to obtain the final time interval; the detection module 604, which is used to perform displacement detection on the monitoring point of the slope based on the final time interval.

[0084] The embodiment of the present invention can analyze the slope displacement of the monitoring points before and after rainfall to determine the degree of influence of each monitoring point on rainfall, and determine the degree of influence of rainfall on each monitoring platform according to the degree of influence of each monitoring point in the monitoring platform, and predict the possibility of instability of each monitoring platform in the future. Finally, the original time interval of the monitoring platform is corrected by the possibility of instability of the monitoring platform in the future, so as to determine the final time interval of each monitoring point according to the influence of rainfall on the monitoring platform, and perform displacement detection on the monitoring points of the slope according to the final time interval. In this way, the time interval determined according to the actual situation of the monitoring platform can reflect the changes of the road slope in real time, so as to timely discover the instability of the slope and take measures. In addition, the embodiment of the present invention also takes into account the influence of rainfall on the stability of the road slope, and improves the prediction accuracy and real-time performance of the stability of the road slope.

[0085] Optionally, the determination module 602 is further used to determine the degree of slope displacement deformation of the slope before the rainfall period through the first slope displacement at the adjacent first monitoring moment; determine the initial slope displacement rate of the slope through the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period; determine the slope displacement rate of the slope during the rainfall period according to the degree of slope displacement deformation and the initial slope displacement rate; determine the precipitation intensity of the rainfall period using the precipitation amount during the rainfall period and the duration of the rainfall period; determine the first degree of influence of the monitoring point by the rainfall according to the precipitation intensity during the rainfall period and the slope displacement rate of the slope during the rainfall period.

[0086] Optionally, the determination module 602 is further configured to calculate the absolute value of the slope displacement difference between the first slope displacements at adjacent first monitoring moments; average the absolute values ​​of the slope displacement differences and then normalize them to obtain the slope displacement deformation degree.

[0087] Optionally, the determination module 602 is further used to determine the difference between the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period as the initial slope displacement rate.

[0088] Optionally, the determination module 602 is further used to convert the unit of duration into a target unit; normalize the product of the precipitation during the rainfall period and the duration converted into the target unit to obtain precipitation intensity.

[0089] Optionally, determination module 602 is also used to average the first influence degrees of the monitoring points at the same height in the monitoring platform to obtain the third influence degree of the monitoring points at the same height in the monitoring platform affected by rainfall; calculate the first difference between the monitoring points at the same height and the height of the monitoring platform, and normalize the first difference to obtain a normalized difference; calculate the first product of the normalized difference and the third influence degree; and average the first product of the monitoring points at each height in the monitoring platform to obtain a second influence degree.

[0090] Optionally, determination module 602 is also used to predict the slope displacement of the monitoring points in the monitoring platform in the future period using the prediction model; determine the volatility of the monitoring platform using the slope displacement of the monitoring points in the monitoring platform in the future period; and determine the possibility of instability of the monitoring platform in the future period based on the volatility, the second impact degree and the probability coefficient of rainfall in the future period.

[0091] Optionally, the correction module 603 is also used to determine whether the monitoring platform will become unstable in the future period based on the possibility; in the case of instability, calculate the second product of the number of days in the future period and the possibility; and determine the second difference between the original time interval and the second product as the final time interval.

[0092] Embodiment three:

[0093] Corresponding to the road slope displacement detection method provided in the above embodiment, based on the same technical concept, the embodiment of the present application also provides a road slope displacement detection device, which is used to perform the road slope displacement detection method. Figure 6 A schematic diagram of a road slope displacement detection device for realizing each embodiment of the present application is shown in FIG. Figure 6The road slope displacement detection device may have relatively large differences due to different configurations or performances, and may include one or more processors 701 and memory 702, the memory 702 is used to store computer programs that can be run on the processor 701, and the processor 701 is used to execute the program stored in the memory 702 to achieve the above Figure 1 The memory 702 may be a temporary storage or a permanent storage. The application stored in the memory 702 may include one or more modules (not shown in the figure), each of which may include a series of computer executable instructions in the displacement detection device for the road slope.

[0094] Furthermore, the processor 701 can be configured to communicate with the memory 702, and execute a series of computer executable instructions in the memory 702 on the road slope displacement detection device. The road slope displacement detection device can also include one or more power supplies 703, one or more wired or wireless network interfaces 704, one or more input and output interfaces 705, and one or more keyboards 706.

[0095] Specifically in this embodiment, the road slope displacement detection device includes a processor, a communication interface, a memory and a communication bus; wherein the processor, the communication interface and the memory communicate with each other through the bus; the memory is used to store computer programs; the processor is used to execute the programs stored in the memory to achieve the above Figure 1 The various steps in the method embodiment are similar to those in the method embodiment, and have the beneficial effects of the above method embodiments. To avoid repetition, the embodiments of the present application will not be described again here.

[0096] It should be noted that the road slope displacement detection device provided in the embodiment of the present application and the road slope displacement detection method provided in the embodiment of the present application are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned road slope displacement detection method, and has the same or similar beneficial effects, and the repeated parts will not be repeated.

[0097] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for detecting displacement of a road slope, characterized in that: The road slope displacement detection method comprises: Obtaining a first slope displacement of a monitoring point of a slope of a target road at a first monitoring time before a rainfall period and a second slope displacement at a second monitoring time after the rainfall period; Determining a first degree of influence of the monitoring point on the monitoring point by the first side slope displacement, the second side slope displacement, the precipitation during the rainfall period, and the duration of the rainfall period; Determining a second degree of influence of the monitoring platform by rainfall according to the first degree of influence, the height of the monitoring point relative to the ground, and the height of the monitoring platform where the monitoring point is located; Determine the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second impact degree, and the probability coefficient of rainfall in the future period; Using the possibility, the original time interval of the monitoring platform is corrected to obtain a final time interval; Displacement detection is performed on the monitoring points of the slope based on the final time interval.

2. The method for detecting the displacement of a road slope according to claim 1, characterized in that: The determining of a first degree of influence of rainfall on the monitoring point by using the first side slope displacement, the second side slope displacement, the precipitation during the rainfall period, and the duration of the rainfall period comprises: Determine the slope displacement deformation degree of the slope before the rainfall period through the first slope displacement at the adjacent first monitoring moment; Determine the initial slope displacement rate of the slope by using a first slope displacement of a monitoring point at a first monitoring time most recently before the rainfall period and a second slope displacement at a second monitoring time most recently after the rainfall period; Determining the slope displacement rate of the slope during the rainfall period according to the slope displacement deformation degree and the slope displacement initial rate; Determining the precipitation intensity of the rainfall period using the amount of precipitation during the rainfall period and the duration of the rainfall period; A first degree of influence of the monitoring point by the rainfall is determined according to the rainfall intensity during the rainfall period and the slope displacement rate of the slope during the rainfall period.

3. The method for detecting the displacement of a road slope according to claim 2, characterized in that: Determining the slope displacement deformation degree of the slope before the rainfall period by using the first slope displacement at the adjacent first monitoring moment includes: Calculate the absolute value of the slope displacement difference between the first slope displacements at adjacent first monitoring moments; The absolute values ​​of the slope displacement differences are averaged and normalized to obtain the slope displacement deformation degree.

4. The method for detecting the displacement of a road slope according to claim 2, characterized in that: Determining the initial slope displacement rate of the slope by using the first slope displacement of the monitoring point at the most recent first monitoring moment before the rainfall period and the second slope displacement at the most recent second monitoring moment after the rainfall period comprises: The difference between a first slope displacement of a monitoring point at a first monitoring time most recently before the rainfall period and a second slope displacement at a second monitoring time most recently after the rainfall period is determined as the initial slope displacement rate.

5. The method for detecting the displacement of a road slope according to claim 2, characterized in that: Determining the precipitation intensity of the rainfall period by using the precipitation amount of the rainfall period and the duration of the rainfall period includes: Convert the unit of the duration into the target unit; The product of the precipitation amount in the rainfall period and the duration converted into the target unit is normalized to obtain the precipitation intensity.

6. The method for detecting the displacement of a road slope according to any one of claims 1 to 5, characterized in that: Determining the second degree of influence of rainfall on the monitoring platform according to the first degree of influence, the height of the monitoring point relative to the ground, and the height of the monitoring platform where the monitoring point is located includes: averaging the first influence degrees of the monitoring points at the same height in the monitoring platform to obtain the third influence degrees of the monitoring points at the same height in the monitoring platform affected by rainfall; Calculating a first difference between the height of the monitoring point at the same height and the height of the monitoring platform, and normalizing the first difference to obtain a normalized difference; Calculating a first product of the normalized difference and the third influence degree; The second influence degree is obtained by averaging the first products of the monitoring points at each height in the monitoring platform.

7. The method for detecting displacement of a road slope according to claim 1, characterized in that: Determining the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second impact degree, and the probability coefficient of rainfall in the future period includes: Using the prediction model to predict the slope displacement of the monitoring point in the monitoring platform in the future period; Determine the volatility of the monitoring platform by using the slope displacement of the monitoring points in the monitoring platform in the future period; The possibility of instability of the monitoring platform in the future period is determined based on the volatility, the second impact degree, and the probability coefficient of rainfall occurring in the future period.

8. The method for detecting displacement of a road slope according to claim 1, characterized in that: The method of using the possibility to modify the original time interval of the monitoring platform to obtain the final time interval includes: determining whether the monitoring platform will become unstable in a future period according to the possibility; In case of instability, a second product of the duration of said future period in days and said probability is calculated; A second difference between the original time interval and the second product is determined as the final time interval.

9. A road slope displacement detection system, characterized in that: include: An acquisition module, used to acquire a first slope displacement of a monitoring point of a slope of a target road at a first monitoring moment before a rainfall period and a second slope displacement at a second monitoring moment after the rainfall period; a determination module, configured to determine a first degree of influence of the monitoring point on the monitoring point by the influence of the rainfall according to the first side slope displacement, the second side slope displacement, the precipitation during the rainfall period, and the duration of the rainfall period; The determination module is further used to determine a second degree of influence of the monitoring platform by rainfall according to the first degree of influence, the height of the monitoring point relative to the ground, and the height of the monitoring platform where the monitoring point is located; The determination module is further used to determine the possibility of instability of the monitoring platform in the future period by using the slope displacement of the monitoring point in the monitoring platform in the future period, the second impact degree and the probability coefficient of rainfall in the future period; A correction module, used to correct the original time interval of the monitoring platform using the possibility to obtain a final time interval; A detection module is used to perform displacement detection on the monitoring points of the slope based on the final time interval.

10. A road slope displacement detection device, characterized in that: The road slope displacement detection device comprises: a processor and a memory; wherein the memory is used to store a computer program that can be run on the processor; the processor is used to execute the program stored in the memory to implement the steps of the road slope displacement detection method as described in any one of claims 1-8.

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