A method, device, equipment and storage medium for monitoring a slope

Abstract

The application discloses a kind of slope monitoring method, device, equipment and storage medium, method mainly includes: according to different slope matching different theoretical landslide probability, with different theoretical landslide probability as foundation for different slope of different time interval monitoring interval is matched, for the higher theoretical landslide probability slope, shorter monitoring interval is adopted, conversely, for the lower theoretical landslide probability slope, monitoring interval is relatively longer.The whole monitoring process of the application can be completed by electronic equipment or device, without monitoring personnel to carry out on-site monitoring, so as to ensure the personal safety of monitoring personnel and also reduce the working strength of monitoring personnel, monitoring personnel only need to obtain monitoring data and signal in remote end, and monitoring time length with different interval length can be set according to different slope of slope, for the higher theoretical landslide probability slope, shorter monitoring interval is adopted, for the lower theoretical landslide probability slope, monitoring interval is relatively longer.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological disaster early warning facilities, and in particular to a slope monitoring method, device, equipment and storage medium. BACKGROUND

[0002] The slope refers to a slope surface with a certain slope built on both sides of the road base to ensure the stability of the road base. The stability of the slope directly affects the road safety. Common slope safety hazards include cracks and sliding. Cracks are divided into transverse cracks and longitudinal cracks, and transverse cracks are more common. If the slope is a soil slope, the safety hazard is more obvious, which is usually manifested as landslides, mudslides and the like. In the early stage of the foregoing safety hazards, they can usually be directly repaired or reinforced to avoid more serious safety accidents.

[0003] At present, the monitoring of the slope mainly relies on manual work and instrument monitoring. During the construction and operation of the slope, monitoring piles are set on the slope, and technical personnel measure the monitoring piles to compare the data and check the displacement and soil pressure of the slope. The workload of monitoring is large, the cycle is long, and the cost is high. The slope stability cannot be monitored and understood in a timely manner. If personnel and equipment are moved on the slope in the monitoring site, the slope with potential damage conditions may be suddenly damaged due to the impact of personnel movement and equipment placement, which may easily cause safety accidents.

[0004] Chinese patent "201710954900.3 - dangerous slope monitoring and early warning system and method" discloses "a dangerous slope monitoring and early warning system, which comprises a sensor unit, a first storage unit, a second storage unit, an early warning analysis unit and an early warning decision unit. The sensor unit is used to monitor the displacement, soil pressure, hourly rainfall and daily rainfall of the slope monitoring point. The first storage unit is used to store the monitoring data acquired by the sensor unit. The second storage unit is used to store the geological environment data of the slope monitoring point. The early warning analysis unit is used to determine whether to give a warning according to the collected data. The early warning decision unit is used to mark the grade of the dangerous slope and send an alarm information according to the judgment result of the early warning analysis unit." The patent forms a graded warning by monitoring the displacement, soil pressure, hourly rainfall and daily rainfall of the slope monitoring point through the sensor, to remind the user of the dangerous level of the slope. However, in actual application, the slope gradient is not the same value. The slope gradient is adaptively changed according to the shape of the mountain and the shape of the road, so that there is usually more than one slope gradient in a whole continuous slope, and the probability of damage of slopes with different gradients is different. The patent does not disclose the content of the processing method of different gradients. SUMMARY

[0005] The main objective of this invention is to provide a method, device, equipment, and storage medium for slope monitoring, in order to solve the problems in the prior art where technicians measure monitoring piles and compare data to check the displacement and earth pressure of slopes. This method involves a large workload, a long cycle, and high costs, and cannot monitor and understand the stability of slopes in a timely manner. Furthermore, if personnel or equipment move on the slope at the monitoring site, slopes with potential damage conditions may suddenly be damaged due to the impact of personnel movement or equipment handling, which can easily lead to safety accidents.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A method for monitoring a slope, wherein the slope comprises at least two sections, a first slope and a second slope, with different slope gradients, the monitoring method comprising:

[0008] Obtain the first slope and the second slope of the first slope and the second slope respectively;

[0009] Obtain the first theoretical landslide probability that matches the first slope and the second theoretical landslide probability that matches the second slope.

[0010] The first and second parameters of the first slope and the second slope are obtained at preset time intervals, respectively.

[0011] The first theoretical landslide probability is weighted to the preset time period using a preset algorithm to form a first time interval that matches the first slope, and the second theoretical landslide probability is weighted to the preset time period using the preset algorithm to form a second time interval that matches the second slope.

[0012] The first change value of the first parameter is obtained according to the first time interval, and it is determined whether the first change value exceeds the first preset threshold. If so, a first warning signal is generated and sent to an external receiving end.

[0013] The second change value of the second parameter is obtained according to the second time interval, and it is determined whether the second change value exceeds the second preset threshold. If so, a second warning signal is generated and sent to the external receiving end.

[0014] As a further improvement to this application, obtaining a first theoretical landslide probability matching the first slope and a second theoretical landslide probability matching the second slope includes:

[0015] Establish a sequence x with a sample size of n based on several theoretical slope values ​​within a preset range. i ;

[0016] Obtain the minimum value x of the sequence. minwith the maximum value x max and according to the minimum value x min with the maximum value x max the range R and the number of groups N of the sequence x i are calculated;

[0017] According to the range R and the number of groups N, the group distance d is calculated, and the group interval with the number of N is constructed according to the group distance d and the number of groups N.

[0018] The upper limit value A k-1 and the lower limit value A k of each group interval are obtained respectively, and the frequency N k of the sequence x i located in the interval (A k-1 , A k ] is obtained according to the upper limit value A k-1 and the lower limit value A k .

[0019] The theoretical probability P k of the sequence x i located in the interval (A k-1 , A k ] is obtained according to formula (1).

[0020] P k = P(A k-1 < x i < A k ) = F(A k ) - F(A k-1 ) (1).

[0021] Wherein,

[0022] Wherein, is the average value of the sequence x i , and S is the standard deviation of the sequence x i .

[0023] According to the difference between the frequency N k and the theoretical probability P k , the statistical table χ 2 is constructed by formula (2):

[0024]

[0025] The first slope and the second slope respectively match the corresponding landslide probability in the statistical table χ 2 , that is, the first theoretical landslide probability P1 and the second theoretical landslide probability P2.

[0026] As a further improvement of the present application, the first theoretical landslide probability is weighted to the preset time length according to a preset algorithm to form a first time interval matched with the first slope, and the second theoretical landslide probability is weighted to the preset time length according to the preset algorithm to form a second time interval matched with the second slope, comprising:

[0027] The first slope probability and the second slope probability respectively matched with the first slope and the second slope in the statistical table χ 2 The first theoretical landslide probability P1 and the second theoretical landslide probability P2 are respectively matched with the first slope probability and the second slope probability corresponding to the first slope and the second slope respectively;

[0028] The first time interval Δt1 is calculated according to formula (3):

[0029]

[0030] Wherein, k1 is the first environmental impact factor of the first slope, and T is the preset time length;

[0031] The second time interval Δt2 is calculated according to formula (4):

[0032]

[0033] Wherein, k2 is the second environmental impact factor of the second slope.

[0034] As a further improvement of the present application, the first theoretical landslide probability is weighted to the preset time length according to a preset algorithm to form a first time interval matched with the first slope, and the second theoretical landslide probability is weighted to the preset time length according to the preset algorithm to form a second time interval matched with the second slope, and then comprising:

[0035] A first time stamp of each first time interval is recorded respectively, and a first rectangular coordinate system is generated with natural time as a first horizontal axis and with the first parameter as a first vertical axis;

[0036] A first coordinate point is generated in the first rectangular coordinate system with each first time stamp as a first horizontal coordinate and with the numerical value of each first parameter as a first vertical coordinate, and adjacent first coordinate points are connected in turn to form a first curve;

[0037] It is judged whether the first change value exceeds the first preset threshold value, and if so, the first warning signal is generated and a second time stamp of the first warning signal is obtained;

[0038] The second time stamp is output and marked on the first horizontal axis, and is extended to the first curve along the direction of the first vertical axis to form a first intersection point;

[0039] Output and mark the first early warning signal at the first intersection point.

[0040] As a further improvement of the present application, the first time interval is formed by weighting the first theoretical landslide probability to the preset time length according to a preset algorithm, and the second time interval is formed by weighting the second theoretical landslide probability to the preset time length according to the preset algorithm, and then comprising:

[0041] Record a third time stamp of each second time interval respectively, and generate a second rectangular coordinate system with natural time as the second horizontal axis and the numerical value of the second parameter as the second vertical axis;

[0042] Generate a second coordinate point in the second rectangular coordinate system with each third time stamp as the second horizontal coordinate and each second parameter as the second vertical coordinate, and sequentially connect adjacent second coordinate points to form a second curve;

[0043] Determine whether the second change value exceeds the second preset threshold value, and if so, generate the second early warning signal and obtain a fourth time stamp of the second early warning signal;

[0044] Output and mark the fourth time stamp on the second horizontal axis, and extend the fourth time stamp to the second curve along the direction of the second vertical axis to form a second intersection point;

[0045] Output and mark the second early warning signal at the second intersection point.

[0046] As a further improvement of the present application, the first change value of the first parameter is obtained according to the first time interval, and it is determined whether the first change value exceeds a first preset threshold value respectively, and if so, a first early warning signal is generated and sent to an external receiving end, and then comprising:

[0047] Obtain a first exceeding time length of the first change value exceeding the first preset threshold value;

[0048] Determine whether the first exceeding time length exceeds a third preset threshold value, and if so, a first on-site confirmation requirement signal is generated and sent to an external receiving end.

[0049] As a further improvement of the present application, the second change value of the second parameter is obtained according to the second time interval, and it is determined whether the second change value exceeds a second preset threshold value respectively, and if so, a second early warning signal is generated and sent to an external receiving end, and then comprising:

[0050] Obtain a second exceeding time length of the second change value exceeding the second preset threshold value;

[0051] The second time length is judged whether exceeding a fourth preset threshold value, if yes, a second field confirmation demand signal is generated and sent to an external receiving end.

[0052] To achieve the above object, the present application further provides the following technical scheme.

[0053] A slope monitoring device applied to the monitoring method as described above, the monitoring device comprises:

[0054] A slope acquisition module is configured to acquire a first slope and a second slope of the first slope and the second slope respectively;

[0055] A probability acquisition module is configured to acquire a first theoretical landslide probability matched with the first slope and a second theoretical landslide probability matched with the second slope respectively;

[0056] A parameter acquisition module is configured to acquire a first parameter and a second parameter of the first slope and the second slope respectively at intervals of a preset time length;

[0057] A weighting calculation module is configured to weight the first theoretical landslide probability to the preset time length according to a preset algorithm to form a first time interval matched with the first slope, and weight the second theoretical landslide probability to the preset time length according to the preset algorithm to form a second time interval matched with the second slope;

[0058] A first judging and warning module is configured to acquire a first change value of the first parameter according to the first time interval, and judge whether the first change value exceeds a first preset threshold value respectively, if yes, a first warning signal is generated and sent to an external receiving end;

[0059] A second judging and warning module is configured to acquire a second change value of the second parameter according to the second time interval, and judge whether the second change value exceeds a second preset threshold value respectively, if yes, a second warning signal is generated and sent to an external receiving end.

[0060] To achieve the above object, the present application further provides the following technical scheme.

[0061] An electronic device comprises a processor and a memory coupled with the processor, the memory stores program instructions executable by the processor; the processor executes the program instructions stored in the memory to implement the slope monitoring method as described above.

[0062] To achieve the above object, the present application further provides the following technical scheme.

[0063] A storage medium, the storage medium stores program instructions, the program instructions are executed by the processor to implement the slope monitoring method as described above.

[0064] The application obtains the slope of each slope, and matches different theoretical landslide probabilities according to different slopes. Different monitoring intervals are matched for different slopes according to different theoretical landslide probabilities. Shorter monitoring intervals are adopted for slopes with higher theoretical landslide probabilities, and longer monitoring intervals are adopted for slopes with lower theoretical landslide probabilities. The whole monitoring process can be completed by electronic equipment or devices, and on-site monitoring by monitoring personnel is not required, thereby ensuring the personal safety of the monitoring personnel and reducing the work intensity of the monitoring personnel. The monitoring personnel only need to obtain monitoring data and signals at a remote end. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 A step flowchart of an embodiment of the slope monitoring method of the application;

[0066] Figure 2 A functional module diagram of an embodiment of the slope monitoring device of the application;

[0067] Figure 3 A structure diagram of an embodiment of the electronic equipment of the application;

[0068] Figure 4 A structure diagram of an embodiment of the storage medium of the application. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the application.

[0070] The terms "first," "second," and "third" in this application are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0071] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0072] like Figure 1 As shown, a slope monitoring method is provided, wherein the slope includes at least two sections, a first slope and a second slope, with different slope gradients. The monitoring method includes the following steps:

[0073] Step S1: Obtain the first slope and the second slope of the first slope and the second slope respectively.

[0074] Step S2: Obtain the first theoretical landslide probability that matches the first slope and the second theoretical landslide probability that matches the second slope.

[0075] Step S3: At preset time intervals, obtain the first and second parameters of the first slope and the second slope respectively.

[0076] Step S4: Based on the first theoretical landslide probability, a preset algorithm is used to weight the values ​​to a preset duration to form a first time interval that matches the first slope, and based on the second theoretical landslide probability, a preset algorithm is used to weight the values ​​to a preset duration to form a second time interval that matches the second slope.

[0077] Step S5: Obtain the first change value of the first parameter according to the first time interval, and determine whether the first change value exceeds the first preset threshold. If the first change value exceeds the first preset threshold, then execute step S6.

[0078] Step S6: Generate a first warning signal and send it to an external receiver.

[0079] Step S7: Obtain the second change value of the second parameter according to the second time interval, and determine whether the second change value exceeds the second preset threshold. If the second change value exceeds the second preset threshold, then execute step S8.

[0080] Step S8: Generate a second warning signal and send it to an external receiver.

[0081] Preferably, the first parameter includes earth pressure data and displacement data based on the first slope; the second parameter includes earth pressure data and displacement data based on the second slope.

[0082] Preferably, if it is necessary to measure the soil pressure data of the first slope or the second slope, a pressure sensor at a preset depth can be pre-embedded in the first slope or the second slope. If it is necessary to measure the displacement data of the first slope or the second slope, it can be achieved by installing infrared sensors, video monitoring instruments, etc. on one side of the first slope and one side of the second slope.

[0083] Furthermore, step S2 specifically includes the following steps:

[0084] Step S21: Establish a sequence x with a sample size of n using several theoretical slope values ​​within a preset range. i Step S22: Obtain the minimum value x of the sequence. min With the maximum value x max And based on the minimum value x min With the maximum value x max The sequence x is calculated. i The range R and the number of groups N.

[0085] Step S23: Calculate the class interval d based on the range R and the number of groups N, and construct N grouping intervals based on the class interval d and the number of groups N.

[0086] Step S24: Obtain the upper limit value A for each group interval. k-1 and lower limit value A k And according to the upper limit value A k-1 and lower limit value A k Get sequence x i Located in interval (A) k-1 A k Frequency N within ] k .

[0087] Step S25, obtain sequence x according to equation (1) i Located in interval (A) k-1 A k The theoretical probability P k .

[0088] P k =P(A k-1 <x i k )=F(A k )-F(A k-1 (1).

[0089] in,

[0090] in, For sequence x i The average value of the sequence x, where S is the average value of the sequence x. i The standard deviation.

[0091] Step S26, based on the frequency N k With theoretical probability P k The difference is used to construct a statistical table χ using equation (2). 2 :

[0092]

[0093] Step S27, in the statistical table χ 2 The landslide probabilities corresponding to the first slope and the second slope are respectively matched to the first theoretical landslide probability P1 and the second theoretical landslide probability P2.

[0094] Preferably, in order to improve the statistical table χ 2 To ensure accuracy or adaptability to slopes made of different materials, preliminary experiments can be conducted on the slope to be monitored to accurately obtain the first theoretical landslide probability P1 and the second theoretical landslide probability P2.

[0095] Preferably, a preliminary experiment was conducted on a soil slope in this embodiment, as shown in Table 1:

[0096]

[0097]

[0098] Table 1

[0099] In this preliminary experiment, the slope of the soil slope was grouped into intervals of 5°. Preliminary experiments were conducted on soil slopes ranging from 0° to 45°, and the frequency and relative frequency were statistically analyzed and compiled into Table 1.

[0100] Preferably, based on Table 1, the statistical table χ 2 ​One data format is shown in Table 2 below:

[0101] Interval group number Interval slope range Frequency N k ]] Frequency N k / n]] Experimentally obtained probability 1 (0°,5°] 5 0.05 0.005 2 (5°,10°] 5 0.05 0.011 3 (10°,15°] 10 0.10 0.020 4 (15°,20°] 15 0.15 0.053 5 (20°,25°] 15 0.15 0.100 6 (25°,30°] 15 0.15 0.147 7 (30°,35°] 15 0.15 0.180 8 (35°,40°] 10 0.10 0.171 9 (40°,45°] 10 0.10 0.131

[0102] Table 2

[0103] Furthermore, step S4 specifically includes the following steps:

[0104] Step S41, in the statistical table χ 2 The landslide probabilities corresponding to the first slope and the second slope are respectively matched to the first theoretical landslide probability P1 and the second theoretical landslide probability P2.

[0105] Step S42, calculate the first time interval Δt1 according to equation (3):

[0106]

[0107] Where k1 is the first environmental impact factor of the first slope, and T is the preset duration.

[0108] Step S43: Calculate the second time interval Δt2 according to equation (4).

[0109]

[0110] Among them, k2 is the second environmental impact factor of the second slope.

[0111] Preferably, the design intent of the first environmental impact factor k1 and the second environmental impact factor k2 is to consider setting different proportional coefficients for different weather conditions. Since this embodiment uses the same type of soil slope for illustration, both the first environmental impact factor k1 and the second environmental impact factor k2 can be set to the same value. For example, in sunny weather, k1 = k2 = 1, and in rainy weather, k1 = k2 = 2. If the materials of the first and second slopes are different, the accurate values ​​of the first environmental impact factor k1 and the second environmental impact factor k2 can be obtained through further experiments. The data in this example is for illustrative purposes only and may differ in actual applications; accurate values ​​can also be obtained through further experiments.

[0112] For example: Using the preliminary experimental data in Table 2 as a reference, assume that the preset duration T is 10 min, the first slope and the second slope are both soil, the slope of the first slope is 20°, the slope of the second slope is 35°, and the first slope and the second slope are both in sunny weather, i.e., k1=k2=1. Substituting the aforementioned example data into equations (3) and (4) respectively, we can obtain the first time interval Δt1≈9.50 min and the second time interval Δt2≈8.47 min respectively.

[0113] Furthermore, using the preliminary experimental data in Table 2 as a reference, we set the preset duration T to be 10 min, the first slope and the second slope to be both soil, the slope of the first slope to be 20°, the slope of the second slope to be 35°, and the first slope and the second slope to be located in precipitation weather, i.e., k1=k2=2. Substituting the aforementioned example data into equations (3) and (4) respectively, we can obtain the first time interval Δt1≈4.75 min and the second time interval Δt2≈4.24 min respectively.

[0114] It should be noted that the data and sampling in the above examples are only used to illustrate this embodiment and are not intended to limit this embodiment.

[0115] Furthermore, after step S4, the following steps are also included:

[0116] Step S10: Record the first timestamp of each first time interval, and generate a first rectangular coordinate system with natural time as the first horizontal axis and the first parameter as the first vertical axis.

[0117] Step S20: In the first rectangular coordinate system, generate a first coordinate point with each first timestamp as the first abscissa and the value of each first parameter as the first ordinate, and connect adjacent first coordinate points in sequence to form a first curve.

[0118] Step S30: Determine whether the first change value exceeds the first preset threshold. If the first change value exceeds the first preset threshold, then proceed to step S40.

[0119] Step S40: Generate a first warning signal and obtain the second timestamp of the first warning signal.

[0120] Step S50: Output and mark the second timestamp on the first horizontal axis, and extend the second timestamp along the direction of the first vertical axis to the first curve to form the first intersection point.

[0121] Step S60: Output and mark the first warning signal at the first intersection point.

[0122] Furthermore, after step S4, the following steps are also included:

[0123] Step S100: Record the third timestamp of each second time interval, and generate a second rectangular coordinate system with natural time as the second horizontal axis and the value of the second parameter as the second vertical axis.

[0124] Step S200: In the second rectangular coordinate system, generate a second coordinate point with each third timestamp as the second abscissa and each second parameter as the second ordinate, and connect adjacent second coordinate points in sequence to form a second curve.

[0125] Step S300: Determine whether the second change value exceeds the second preset threshold. If the second change value exceeds the second preset threshold, then proceed to step S400.

[0126] Step S400: Generate a second warning signal and obtain the fourth timestamp of the second warning signal.

[0127] In step S500, the fourth timestamp is output and marked on the second horizontal axis, and the fourth timestamp is extended along the direction of the second vertical axis to the second curve to form the second intersection point.

[0128] Step S6000: Output and mark the second warning signal at the second intersection point.

[0129] Preferably, the design intent of this embodiment is to reflect the continuity and changing trend of the first parameter and the second parameter through the first rectangular coordinate system and the second rectangular coordinate system respectively, while marking abnormal data in the form of timestamps.

[0130] Furthermore, after step S5, the following steps are also included:

[0131] Step S1000: Obtain the first timeout period when the first change value exceeds the first preset threshold.

[0132] Step S2000: Determine whether the first timeout exceeds the third preset threshold. If the first timeout exceeds the third preset threshold, then execute step S3000.

[0133] Step S3000: Generate the first on-site confirmation request signal and send it to the external receiving end.

[0134] Furthermore, after step S6, the following steps are also included:

[0135] Step S10000: Obtain the second duration for which the second change value exceeds the second preset threshold.

[0136] Step S20000: Determine whether the second timeout exceeds the fourth preset threshold. If the second timeout exceeds the fourth preset threshold, then execute step S30000.

[0137] Step S30000: Generate a second on-site confirmation request signal and send it to an external receiver.

[0138] This embodiment acquires the slope of each slope and matches different theoretical landslide probabilities to different slopes. Based on different theoretical landslide probabilities, different monitoring intervals are matched for slopes with different slopes. For slopes with higher theoretical landslide probabilities, shorter monitoring intervals are adopted, and conversely, for slopes with lower theoretical landslide probabilities, the monitoring intervals are relatively longer. Moreover, the entire monitoring process can be completed by electronic devices or equipment, without the need for on-site monitoring by monitoring personnel. This ensures the personal safety of monitoring personnel and reduces their workload. Monitoring personnel only need to acquire monitoring data and signals remotely.

[0139] like Figure 2 As shown, this embodiment provides an example of a slope monitoring device. In this embodiment, the monitoring device is applied to the monitoring method in the above embodiment. The monitoring device includes a slope acquisition module 1, a probability acquisition module 2, a parameter acquisition module 3, a weighted calculation module 4, a first judgment and early warning module 5, and a second judgment and early warning module 6.

[0140] The slope acquisition module 1 is used to acquire the first slope and the second slope of the first slope and the second slope, respectively.

[0141] The probability acquisition module 2 is used to acquire the first theoretical landslide probability that matches the first slope and the second theoretical landslide probability that matches the second slope.

[0142] The parameter acquisition module 3 is used to acquire the first and second parameters of the first slope and the second slope at preset time intervals.

[0143] The weighted calculation module 4 is used to weight the first theoretical landslide probability to a preset time period using a preset algorithm to form a first time interval that matches the first slope, and to weight the second theoretical landslide probability to a preset time period using a preset algorithm to form a second time interval that matches the second slope.

[0144] The first judgment and early warning module 5 is used to obtain the first change value of the first parameter according to the first time interval, and to determine whether the first change value exceeds the first preset threshold. If so, it generates a first early warning signal and sends it to the external receiving end.

[0145] The second judgment and early warning module 6 is used to obtain the second change value of the second parameter according to the second time interval, and to determine whether the second change value exceeds the second preset threshold. If so, a second early warning signal is generated and sent to the external receiving end.

[0146] Furthermore, the probability acquisition module 2 specifically includes:

[0147] The first probability acquisition submodule is used to establish a sequence x with n samples based on several theoretical slope values ​​within a preset range.i .

[0148] The second probability acquisition submodule is used to obtain the minimum value x of the sequence. min With the maximum value x max And based on the minimum value x min With the maximum value x max The sequence x is calculated. i The range R and the number of groups N.

[0149] The third probability acquisition submodule is used to calculate the class interval d based on the range R and the number of groups N, and to construct a grouping interval of N based on the class interval d and the number of groups N.

[0150] The fourth probability acquisition submodule is used to obtain the upper limit value A of each group interval. k-1 and lower limit value A k And according to the upper limit value A k-1 and lower limit value A k Get sequence x i Located in interval (A) k-1 A k Frequency N within ] k .

[0151] The fifth probability acquisition submodule is used to obtain the sequence x according to equation (1). i Located in interval (A) k-1 A k The theoretical probability P k .

[0152] P k =P(A k-1 <x i k )=F(A k )-F(A k-1 (1).

[0153] in,

[0154] in, For sequence x i The average value of the sequence x, where S is the average value of the sequence x. i The standard deviation.

[0155] The sixth probability acquisition submodule is used to obtain the probability based on the frequency N. k With theoretical probability P k The difference is used to construct a statistical table χ using equation (2). 2 :

[0156]

[0157] The seventh probability acquisition submodule is used to obtain data from the statistical table χ.​2 The landslide probabilities corresponding to the first slope and the second slope are respectively matched to the first theoretical landslide probability P1 and the second theoretical landslide probability P2.

[0158] Furthermore, the weighted calculation module 4 specifically includes:

[0159] The first weighted calculation submodule is used to calculate the weighted average in the statistical table χ. 2 The landslide probabilities corresponding to the first slope and the second slope are respectively matched to the first theoretical landslide probability P1 and the second theoretical landslide probability P2.

[0160] The second weighted calculation submodule is used to calculate the first time interval Δt1 according to equation (3):

[0161]

[0162] Where k1 is the first environmental impact factor of the first slope, and T is the preset duration.

[0163] The third weighted calculation submodule is used to calculate the second time interval Δt2 according to equation (4).

[0164]

[0165] Among them, k2 is the second environmental impact factor of the second slope.

[0166] Furthermore, the monitoring device also includes:

[0167] The first recording module is used to record the first timestamp of each first time interval, and generate a first rectangular coordinate system with natural time as the first horizontal axis and the first parameter as the first vertical axis.

[0168] The first modeling module is used to generate a first coordinate point in a first rectangular coordinate system with each first timestamp as the first abscissa and the value of each first parameter as the first ordinate, and to connect adjacent first coordinate points in sequence to form a first curve.

[0169] The first judgment module is used to determine whether the first change value exceeds the first preset threshold. If so, it generates a first warning signal and obtains the second timestamp of the first warning signal.

[0170] The first marking module is used to output and mark the second timestamp on the first horizontal axis, and extend the second timestamp along the direction of the first vertical axis to the first curve to form the first intersection point.

[0171] The first output module is used to output and mark the first warning signal at the first intersection point.

[0172] Furthermore, the monitoring device also includes:

[0173] The second recording module is used to record the third timestamp of each second time interval, and generate a second rectangular coordinate system with natural time as the second horizontal axis and the value of the second parameter as the second vertical axis.

[0174] The second modeling module is used to generate second coordinate points in the second rectangular coordinate system with each third timestamp as the second abscissa and each second parameter as the second ordinate, and to connect adjacent second coordinate points in sequence to form a second curve.

[0175] The second judgment module is used to determine whether the second change value exceeds the second preset threshold. If so, it generates a second warning signal and obtains the fourth timestamp of the second warning signal.

[0176] The second marking module is used to output and mark the fourth timestamp on the second horizontal axis, and extend the fourth timestamp along the direction of the second vertical axis to the second curve to form the second intersection point.

[0177] The second output module is used to output and mark the second warning signal at the second intersection point.

[0178] Furthermore, the monitoring device also includes:

[0179] The first timing module is used to obtain the first duration of time during which the first change value exceeds the first preset threshold.

[0180] The third judgment module is used to determine whether the first timeout exceeds the third preset threshold. If so, it generates the first on-site confirmation request signal and sends it to the external receiving end.

[0181] Furthermore, the monitoring device also includes:

[0182] The second timing module is used to obtain the second duration of time during which the second change value exceeds the second preset threshold.

[0183] The fourth judgment module is used to determine whether the second timeout exceeds the fourth preset threshold. If so, it generates a second on-site confirmation request signal and sends it to the external receiver.

[0184] It should be noted that the monitoring device in this embodiment is based on the monitoring method in the above embodiments. For the extended and exemplified parts of this embodiment, please refer to the above method embodiments. This embodiment will not be repeated here.

[0185] This embodiment acquires the slope of each slope and matches different theoretical landslide probabilities to different slopes. Based on different theoretical landslide probabilities, different monitoring intervals are matched for slopes with different slopes. For slopes with higher theoretical landslide probabilities, shorter monitoring intervals are adopted, and conversely, for slopes with lower theoretical landslide probabilities, the monitoring intervals are relatively longer. Moreover, the entire monitoring process can be completed by electronic devices or equipment, without the need for on-site monitoring by monitoring personnel. This ensures the personal safety of monitoring personnel and reduces their workload. Monitoring personnel only need to acquire monitoring data and signals remotely.

[0186] like Figure 3 As shown, this embodiment provides an embodiment of an electronic device 7, which includes a processor 71 and a memory 72 coupled to the processor 71.

[0187] The memory 72 stores program instructions for implementing the slope monitoring method of any of the above embodiments.

[0188] The processor 71 is used to execute program instructions stored in the memory 72 for slope monitoring.

[0189] The processor 71 can also be referred to as a CPU (Central Processing Unit). The processor 71 may be an integrated circuit chip with signal processing capabilities. The processor 71 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor.

[0190] Furthermore, Figure 4 This is a schematic diagram of the structure of a storage medium according to an embodiment of this application. The storage medium 8 of this embodiment stores program instructions 81 capable of implementing all the above methods. These program instructions 81 can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0191] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0192] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0193] The specific embodiments of the invention have been described in detail above, but these are merely examples, and the invention is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this invention. Therefore, all equivalent transformations, modifications, and improvements made without departing from the spirit and principles of this invention should be included within the scope of this invention.

Claims

1. A method of monitoring a slope, the slope comprising a first slope and a second slope of at least two different gradients, characterised in that, The monitoring method comprises: respectively acquiring a first slope and a second slope of the first slope and the second slope; respectively acquiring a first theoretical landslide probability matched with the first slope and a second theoretical landslide probability matched with the second slope; respectively acquiring a first parameter and a second parameter of the first slope and the second slope at intervals of a preset time length; weighting the first theoretical landslide probability to the preset time length by a preset algorithm to form a first time interval matched with the first slope, and weighting the second theoretical landslide probability to the preset time length by the preset algorithm to form a second time interval matched with the second slope; acquiring a first change value of the first parameter according to the first time interval, and respectively judging whether the first change value exceeds a first preset threshold, if yes, generating a first early warning signal and sending it to an external receiving end; acquiring a second change value of the second parameter according to the second time interval, and respectively judging whether the second change value exceeds a second preset threshold, if yes, generating a second early warning signal and sending it to an external receiving end; respectively recording a first timestamp of each first time interval, generating a first rectangular coordinate system with natural time as a first horizontal axis and the first parameter as a first vertical axis; generating a first coordinate point with each first timestamp as a first horizontal coordinate and the numerical value of each first parameter as a first vertical coordinate in the first rectangular coordinate system, and sequentially connecting adjacent first coordinate points to form a first curve; judging whether the first change value exceeds the first preset threshold, if yes, generating the first early warning signal and acquiring a second timestamp of the first early warning signal; outputting and marking the second timestamp on the first horizontal axis, and extending the second timestamp to the first curve along the direction of the first vertical axis to form a first intersection point; outputting and marking the first early warning signal at the first intersection point. respectively acquiring a first theoretical landslide probability matched with the first slope and a second theoretical landslide probability matched with the second slope, comprises:

2. The monitoring method of claim 1, wherein, weighting the first theoretical landslide probability to the preset time length by a preset algorithm to form a first time interval matched with the first slope, and weighting the second theoretical landslide probability to the preset time length by the preset algorithm to form a second time interval matched with the second slope, comprises: The sample quantity is established with several theoretical slope values in a preset range of the sequence ; Obtain the minimum value of the sequence With the maximum value and according to the minimum value With the maximum value The sequence was calculated. range and number of groups ; According to the range With the number of groups Calculate group distance , According to the group distance And the number of groups Build a group interval with a quantity of Individuals obtaining an upper limit value and a lower limit value for each grouping interval, respectively and obtaining the sequence of frequencies located in the interval from the upper limit value and the lower limit value According to formula (1) to obtain the sequence Located in the interval Theoretical probability ; （1）； wherein ; wherein is the average value of the sequence of the sequence is the standard deviation of the sequence of the sequence According to the frequency of the difference from the theoretical probability , a statistical table is constructed by equation (2) : （2）； In the statistical table The respective landslide probability of the first slope and the second slope is respectively matched with the first theoretical landslide probability and the second theoretical landslide probability .

3. The monitoring method of claim 2, wherein, weighting the first theoretical landslide probability to the preset time length by a preset algorithm to form a first time interval matched with the first slope, and weighting the second theoretical landslide probability to the preset time length by the preset algorithm to form a second time interval matched with the second slope, and then comprises: In the statistical table The respective landslide probability of the first slope and the second slope respectively corresponding to the respective first slope and the second slope is the first theoretical landslide probability And the second theoretical landslide probability ; The first time interval is calculated according to formula (3) : （3）； wherein, is a first environmental impact factor of the first slope, is the preset time length; The second time interval is calculated according to formula (4) ; （4）； wherein, is a second environmental impact factor for the second side slope.

4. The monitoring method of claim 1, wherein, ​ record third time stamps of each second time interval respectively, generate a second rectangular coordinate system with natural time as a second horizontal axis and values of the second parameters as a second vertical axis; generate second coordinate points with each third time stamp as a second horizontal coordinate and each second parameter as a second vertical coordinate in the second rectangular coordinate system, and connect adjacent second coordinate points to form a second curve; determine whether the second change value exceeds the second preset threshold value, and if so, generate the second early warning signal and obtain a fourth time stamp of the second early warning signal; output and mark the fourth time stamp on the second horizontal axis, and extend the fourth time stamp to the second curve along the direction of the second vertical axis to form a second intersection point; output and mark the second early warning signal at the second intersection point.

5. The monitoring method of claim 1, wherein, obtain a first change value of the first parameter according to the first time interval, and determine whether the first change value exceeds a first preset threshold value respectively, and if so, generate a first early warning signal and send it to an external receiving end, and then include: obtain a first exceeding duration when the first change value exceeds the first preset threshold value; determine whether the first exceeding duration exceeds a third preset threshold value, and if so, generate a first on-site confirmation requirement signal and send it to the external receiving end.

6. The monitoring method of claim 1, wherein, obtain a second change value of the second parameter according to the second time interval, and determine whether the second change value exceeds a second preset threshold value respectively, and if so, generate a second early warning signal and send it to the external receiving end, and then include: obtain a second exceeding duration when the second change value exceeds the second preset threshold value; determine whether the second exceeding duration exceeds a fourth preset threshold value, and if so, generate a second on-site confirmation requirement signal and send it to the external receiving end.

7. A monitoring device for a side slope, which is applied to the monitoring method according to any one of claims 1 to 6, characterized by, The monitoring device includes: a slope obtaining module for obtaining a first slope and a second slope of the first slope and the second slope respectively; a probability obtaining module for obtaining a first theoretical landslide probability matched with the first slope and a second theoretical landslide probability matched with the second slope respectively; a parameter obtaining module for obtaining a first parameter and a second parameter of the first slope and the second slope respectively at a preset time interval; a weighted calculation module for weighting the preset time interval according to the first theoretical landslide probability by a preset algorithm to form a first time interval matched with the first slope, and weighting the preset time interval according to the second theoretical landslide probability by the preset algorithm to form a second time interval matched with the second slope; a first determination and early warning module for obtaining a first change value of the first parameter according to the first time interval, and determining whether the first change value exceeds a first preset threshold value respectively, and if so, generating a first early warning signal and sending it to an external receiving end; a second determination and early warning module for obtaining a second change value of the second parameter according to the second time interval, and determining whether the second change value exceeds a second preset threshold value respectively, and if so, generating a second early warning signal and sending it to the external receiving end.

8. An electronic device, comprising: A device includes a processor, and a memory coupled with the processor, the memory storing program instructions executable by the processor; and the processor, when executing the program instructions stored in the memory, implements the method for monitoring a slope according to any one of claims 1 to 6.

9. A storage medium, characterized by The storage medium stores program instructions, and the program instructions, when executed by a processor, implement the method for monitoring a slope according to any one of claims 1 to 6.

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