Strip mine side slope landslide treatment method and strip mine side slope landslide treatment device

Abstract

The invention provides a strip mine side slope landslide treatment method and a strip mine side slope landslide treatment device. The method comprises the following steps: acquiring sensor data of a side slope in real time; constructing a slope digital twinborn model according to the sensor data, and performing landslide risk assessment based on the slope digital twinborn model to obtain a landslide risk value; under the condition that the landslide risk value is larger than a set risk threshold value, the current geological condition change rate is calculated in real time through the sensor data, and treatment scheme parameters are dynamically adjusted based on the current geological condition change rate; and determining a current slope treatment scheme according to the treatment scheme parameters, and performing landslide treatment according to the current slope treatment scheme. The method solves the problem that in the prior art, a slope treatment scheme is generally based on static design, dynamic adjustment is difficult to carry out according to changes of real-time geological data, and consequently treatment measures are not matched with actual conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of landslide control, and in particular to an open-pit mine slope landslide control method, an open-pit mine slope landslide control device, a computer-readable storage medium and a computer program product. Background Art

[0002] The challenges of open-pit mine slope management mainly come from complex geological conditions and dynamic environmental changes. Traditional slope management methods rely on static design and manual monitoring, which are usually difficult to respond to geological changes in the slope in real time, resulting in a high risk of landslides. At present, slope management mainly relies on physical support structures (such as slope protection walls and anchors) and drainage systems to reduce landslide risks. Traditional slope monitoring technology mainly relies on regular surveys or single sensor monitoring. This method has a lag in capturing dynamic changes in slopes and cannot reflect the geological status and potential risks of slopes in real time. Secondly, existing slope management solutions are usually based on static designs and are difficult to dynamically adjust according to changes in real-time geological data. This rigid response method easily leads to a mismatch between management measures and actual conditions. In addition, the existing technology lacks in-depth analysis and intelligent prediction of monitoring data, and cannot provide accurate assessment and early warning of slope stability. Summary of the invention

[0003] The main purpose of the present application is to provide an open-pit mine slope landslide control method, an open-pit mine slope landslide control device, a computer-readable storage medium and a computer program product, so as to at least solve the problem that the slope control scheme in the prior art is usually based on static design, which is difficult to dynamically adjust according to the changes in real-time geological data, which easily leads to the mismatch between the control measures and the actual situation.

[0004] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for controlling landslides on an open-pit mine slope is provided, comprising: acquiring sensor data of the slope in real time, the sensor data including displacement, inclination and stress of the slope; constructing a digital twin model of the slope according to the sensor data, and performing a landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation conditions of the slope; when the landslide risk value is greater than a set risk threshold, using the sensor data to calculate the current geological condition change rate in real time, and dynamically adjusting control scheme parameters based on the current geological condition change rate, wherein the current geological condition change rate is the change rate of the sum of the change rate of the displacement over time, the change rate of the inclination over time and the change rate of the stress over time, and the control scheme parameters are parameters marking the corresponding slope control scheme; determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0005] Before acquiring the sensor data in real time, the method further includes:

[0006] Optionally, during the sensor data transmission process, the data flow and transmission demand are detected in real time and the current data transmission frequency is obtained; the data transmission frequency adjustment factor is calculated according to the first formula, and the first formula is: E a is the data transmission frequency adjustment factor, α, β, and γ are all adjustment coefficients, α determines the influence weight of the ratio of the transmission demand to the data flow on the frequency adjustment, β determines the influence weight of the change rate of the transmission demand on the frequency adjustment, and γ determines the influence weight of the change rate of the data flow on the frequency adjustment. d represents the transmission demand, D f represents the data flow, represents the time rate of change of the transmission demand, represents the time change rate of the data flow; dynamically adjusts the data transmission frequency through a second formula according to the data transmission frequency adjustment factor, and the second formula is: f t is the data transmission frequency at time t, and f0 is the current data transmission frequency.

[0007] Optionally, after acquiring the sensor data in real time, the method further includes: acquiring geological data of the slope, the geological data at least including density, water content and interlayer structure of the soil of the slope; calculating the comprehensive stability parameter of the slope using a third formula according to the geological data, the third formula being: S represents the comprehensive stability parameter, W s represents the landslide driving force, θ represents the water content, represents the maximum allowable inclination angle of the slope, ρ represents the density, L t represents the total thickness of the interlayer structure, F s Represents the shear strength of the slope soil; determines a preliminary treatment plan based on the comprehensive stability parameter; uses the fourth formula to calculate the treatment parameter corresponding to the preliminary treatment plan, the fourth formula is G=S·(C+μ·N), G represents the treatment parameter, C represents the cohesion of the slope soil, μ represents the friction coefficient, and N is the normal stress perpendicular to the sliding surface.

[0008] Optionally, constructing a slope digital twin model according to the sensor data, and performing landslide risk assessment based on the slope digital twin model to obtain a landslide risk value, including: constructing the slope digital twin model using the sensor data, the expression of the slope digital twin model is: M(t) represents the digital twin model of the slope at time t, ρ represents the density of the soil, represents the comprehensive function of the sensor data, Δx represents the displacement, represents the inclination angle, σ represents the stress; the slope digital twin model is combined with the fifth formula to perform landslide risk assessment to calculate the landslide risk value. The fifth formula is: P s represents the landslide risk value, represents the landslide impact factor function associated with the sensor data, R i is the resistance parameter of the landslide risk, and n is the number of landslide influencing factors.

[0009] Optionally, after constructing the slope digital twin model according to the sensor data, the method further includes: updating the slope digital twin model in real time according to a sixth formula, wherein the sixth formula is M(t+Δt) represents the slope digital twin model updated at time t+Δt, and Δt represents the time increment.

[0010] Optionally, the current geological condition change rate is calculated in real time using the sensor data, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, including: using the sensor data to calculate the current geological condition change rate through the seventh formula, the seventh formula is V g is the change rate of the current geological conditions, is the rate of change of displacement with time, is the rate of change of the inclination angle with time, is the rate of change of stress over time; the governance adjustment factor is calculated by the eighth formula according to the current geological condition change rate, and the eighth formula is A g represents the governance adjustment factor, λ represents the adjustment coefficient, and S represents the comprehensive stability coefficient; the governance scheme parameters are dynamically adjusted according to the governance adjustment factor through the tenth formula, and the tenth formula is: G t is the governance scheme parameter, and G0 is the initial governance scheme parameter.

[0011] Optionally, after determining the current slope control plan according to the control plan parameters, the method further includes: determining an assembly method of a control structure using prefabricated components according to the current slope control plan, assembling the control structure using the assembly method and completing slope control using the control structure, the prefabricated components including slope protection walls, anchor rods and prefabricated piles.

[0012] According to another aspect of the present application, a device for controlling landslides on an open-pit mine slope is provided, the device comprising: a first acquisition unit, for acquiring sensor data in real time, the sensor data comprising displacement, inclination and stress of the slope; an evaluation unit, for constructing a digital twin model of the slope according to the sensor data, and performing landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, the digital twin model of the slope being used to simulate the stress and deformation of the slope; a first calculation unit, for calculating the current geological condition change rate in real time using the sensor data when the landslide risk value is greater than a set risk threshold, and dynamically adjusting control scheme parameters based on the current geological condition change rate, the current geological condition change rate being the change rate of the sum of the change rate of the displacement over time, the change rate of the inclination over time and the change rate of the stress over time, the control scheme parameters being parameters marking the corresponding slope control scheme; a first determination unit, for determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0013] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described.

[0014] According to another aspect of the present application, a computer program product is provided, comprising computer instructions, wherein when the computer instructions are executed by a processor, any one of the methods described above is implemented.

[0015] Applying the technical solution of the present application, in the open-pit mine slope landslide control method, first, the sensor data of the slope is obtained in real time, and the above-mentioned sensor data includes the displacement, inclination and stress of the above-mentioned slope; then, a digital twin model of the slope is constructed according to the above-mentioned sensor data, and a landslide risk assessment is performed based on the above-mentioned digital twin model of the slope to obtain a landslide risk value, and the above-mentioned digital twin model of the slope is used to simulate the stress and deformation conditions of the above-mentioned slope; thereafter, when the above-mentioned landslide risk value is greater than the set risk threshold, the above-mentioned sensor data is used to calculate the current geological condition change rate in real time, and the control plan parameters are dynamically adjusted based on the above-mentioned current geological condition change rate, the above-mentioned current geological condition change rate is the change rate of the sum of the above-mentioned displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the above-mentioned control plan parameters are parameters for marking the corresponding slope control plan; finally, the current slope control plan is determined according to the above-mentioned control plan parameters, so as to perform landslide control according to the above-mentioned current slope control plan. This application combines sensors to monitor slope displacement, stress and inclination in real time, constructs an accurate digital twin model of the slope, predicts landslides based on the digital twin model of the slope combined with simulation algorithms, and obtains landslide risk values, thereby achieving efficient disaster prevention and management; by dynamically adjusting the governance plan, it ensures that the governance measures always adapt to changes in the geological conditions of the slope, improves the accuracy and reliability of governance, thereby achieving long-term stability and safety of the slope, reducing governance costs, and improving the overall benefits of the project. This application solves the problem that slope governance plans in the prior art are usually based on static designs, which are difficult to dynamically adjust according to changes in real-time geological data, which can easily lead to a mismatch between governance measures and actual conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A hardware structure block diagram of a mobile terminal for executing a method for treating landslides on an open-pit mine slope provided in an embodiment of the present application is shown;

[0017] Figure 2 A schematic diagram of a process for treating a landslide on an open-pit mine slope provided in accordance with an embodiment of the present application is shown;

[0018] Figure 3 A structural block diagram of an open-pit mine slope landslide control device provided according to an embodiment of the present application is shown.

[0019] The above drawings include the following reference numerals:

[0020] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] As introduced in the background technology, the slope control scheme in the prior art is usually based on static design, which is difficult to be dynamically adjusted according to the changes in real-time geological data. This rigid response method can easily lead to the mismatch between the control measures and the actual situation. In order to solve the problem that the slope control scheme in the prior art is usually based on static design, which is difficult to be dynamically adjusted according to the changes in real-time geological data, which can easily lead to the mismatch between the control measures and the actual situation, the embodiments of the present application provide an open-pit mine slope landslide control method, an open-pit mine slope landslide control device, a computer-readable storage medium and a computer program product.

[0025] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal for an open-pit mine slope landslide control method according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the open-pit mine slope landslide control method in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned network specific example may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a method for controlling open-pit mine slope landslides running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Figure 2 Flow chart of the method for treating open pit slope landslide according to the embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0030] Step S201, acquiring sensor data of the slope in real time, wherein the sensor data includes displacement, inclination and stress of the slope.

[0031] Specifically, sensors include seismic sensors, inclination sensors, and stress sensors, which are used to monitor the geological changes, support, and reinforcement measures of the slope in real time. Sensors are used to monitor the displacement, stress, and inclination of the slope in real time to obtain corresponding sensor data.

[0032] Step S202: construct a slope digital twin model according to the sensor data, and perform landslide risk assessment based on the slope digital twin model to obtain a landslide risk value. The slope digital twin model is used to simulate the stress and deformation conditions of the slope.

[0033] Specifically, a finite element model of the slope is established based on the above sensor data, and the finite element analysis algorithm is used to simulate the stress and deformation of the slope, and analyze the stability and potential sliding surface of the slope. The finite element analysis algorithm is a numerical analysis method. By dividing the slope soil and structure into a limited number of small units, the physical and mechanical properties of each unit can be accurately calculated, thereby obtaining the overall stress and deformation distribution. By simulating actual geological conditions and external loads, finite element analysis can describe in detail the stress distribution, deformation and potential sliding surface position of the slope under different working conditions, and identify the areas and instability modes where the slope may become unstable. In addition, the machine learning algorithm evaluates and predicts the stability of the slope by analyzing a large amount of historical data and monitoring data, identifies potential relationships and patterns that are difficult to find with traditional methods, and provides more accurate and intelligent stability predictions. By combining finite element analysis and machine learning algorithms, not only can high-precision slope stress and deformation analysis be provided, but also dynamic stability evaluation and landslide risk prediction can be performed, providing a scientific basis and decision support for slope management. Machine learning algorithms build prediction models for slope landslides by learning and analyzing historical geological data and monitoring data, predicting the risk and development trend of slope landslides, and building high-precision landslide prediction models by deeply mining and analyzing the potential laws and patterns in historical geological data and real-time monitoring data. By comprehensively considering multiple geological parameters and environmental factors, machine learning algorithms can identify early signs and key influencing factors of landslides, and provide quantitative evaluation and prediction for slope stability.

[0034] Step S203, when the landslide risk value is greater than the set risk threshold, the sensor data is used to calculate the current geological condition change rate in real time, and the control plan parameters are dynamically adjusted based on the current geological condition change rate. The current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time and the stress change rate over time. The control plan parameters are parameters that mark the corresponding slope control plan.

[0035] Specifically, the size of the landslide risk value determines whether control measures need to be taken. When the landslide risk value is greater than the set risk threshold, it indicates that the landslide risk is high and control measures must be initiated immediately, such as reinforcement or drainage. Therefore, the above sensor data is required to calculate the current geological condition change rate in real time, and dynamically adjust the control plan parameters based on the above current geological condition change rate to obtain the current control plan parameters. When the landslide risk value is less than or equal to the set risk threshold, it means that the slope is in a relatively stable state. At this time, no control is required, and only the slope dynamics need to be continuously monitored so that timely action can be taken when the risk increases.

[0036] Step S204, determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0037] Specifically, a slope control plan corresponds to a control parameter. Therefore, the corresponding current slope control plan can be queried according to the current control plan parameters, and finally the landslide control is carried out according to the above current slope control plan. By dynamically adjusting the control plan according to the control parameters, it is ensured that the control measures always adapt to the changes in the geological conditions of the slope, improve the accuracy and reliability of the control, thereby achieving long-term stability and safety of the slope, reducing the cost of control, and improving the overall benefits of the project.

[0038] In this embodiment, in the open-pit mine slope landslide control method, first, the sensor data of the slope is obtained in real time, and the above-mentioned sensor data includes the displacement, inclination and stress of the above-mentioned slope; then, a digital twin model of the slope is constructed according to the above-mentioned sensor data, and a landslide risk assessment is performed based on the above-mentioned digital twin model of the slope to obtain a landslide risk value, and the above-mentioned digital twin model of the slope is used to simulate the stress and deformation of the above-mentioned slope; thereafter, when the above-mentioned landslide risk value is greater than the set risk threshold, the above-mentioned sensor data is used to calculate the current geological condition change rate in real time, and the control plan parameters are dynamically adjusted based on the above-mentioned current geological condition change rate, the above-mentioned current geological condition change rate is the change rate of the sum of the above-mentioned displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the above-mentioned control plan parameters are parameters for marking the corresponding slope control plan; finally, the current slope control plan is determined according to the above-mentioned control plan parameters, so as to perform landslide control according to the above-mentioned current slope control plan. This application combines sensors to monitor slope displacement, stress and inclination in real time, constructs an accurate digital twin model of the slope, predicts landslides based on the digital twin model of the slope combined with simulation algorithms, and obtains landslide risk values, thereby achieving efficient disaster prevention and management; by dynamically adjusting the governance plan, it ensures that the governance measures always adapt to changes in the geological conditions of the slope, improves the accuracy and reliability of governance, thereby achieving long-term stability and safety of the slope, reducing governance costs, and improving the overall benefits of the project. This application solves the problem that slope governance plans in the prior art are usually based on static designs, which are difficult to dynamically adjust according to changes in real-time geological data, which can easily lead to a mismatch between governance measures and actual conditions.

[0039] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the open-pit mine slope landslide control method of the present application will be described in detail below in conjunction with specific embodiments.

[0040] In order to effectively cope with the complex and changeable transmission environment and thus improve the stability of data transmission, in an optional implementation manner, before the above step S201, the method further includes:

[0041] Step S301, during the above sensor data transmission process, real-time detection of data flow and transmission demand and acquisition of current data transmission frequency;

[0042] Step S302, calculating the data transmission frequency adjustment factor according to the first formula, the first formula is: F a is the data transmission frequency adjustment factor, α, β, and γ are adjustment coefficients, α determines the influence weight of the ratio of the transmission demand to the data flow on the frequency adjustment, β determines the influence weight of the change rate of the transmission demand on the frequency adjustment, and γ determines the influence weight of the change rate of the data flow on the frequency adjustment.d represents the above transmission requirements, D f Indicates the above data traffic, represents the time rate of change of the above transmission demand, Indicates the time rate of change of the above data traffic;

[0043] Step S303, dynamically adjusting the data transmission frequency by a second formula according to the data transmission frequency adjustment factor, the second formula being: f t is the data transmission frequency at time t, and f0 is the current data transmission frequency mentioned above.

[0044] In the above embodiment, the data flow and transmission demand are monitored in real time through the sensor network to obtain the current transmission status; through the first formula Calculate the data transmission frequency adjustment factor F a , It indicates the time rate of change of the above transmission demand, that is, the rate at which the transmission demand changes over time, in bits per second. It represents the time change rate of the above data flow, that is, the rate of change of data flow over time, in bits per second; according to the data transmission frequency adjustment factor, the second formula Dynamically adjust the data transmission frequency f t . Through the above formula, it can be ensured that during the sensor data transmission process, the adaptive frequency adjustment algorithm can respond to the changes in data flow and transmission demand in real time, dynamically adjust the data transmission frequency, and thus improve the efficiency and reliability of data transmission. Specifically, when the data flow increases or the transmission demand increases, the adjustment factor will automatically increase the data transmission frequency to ensure the timely transmission of data and avoid transmission delays or data loss; on the contrary, when the data flow decreases or the transmission demand decreases, the adjustment factor will reduce the data transmission frequency, thereby reducing unnecessary transmission activities and saving system energy consumption. This adaptive adjustment mechanism not only improves the overall performance of the transmission system, but also optimizes the utilization of system resources by dynamically adjusting the transmission frequency, ensuring the efficient operation of the system and the effective utilization of energy. In addition, this adaptive frequency adjustment algorithm is also highly flexible and intelligent, and can be quickly adjusted according to real-time monitoring data to meet the needs under different transmission conditions, significantly improving the stability and adaptability of the transmission system, and providing a strong guarantee for data transmission in the process of slope management. In this way, it is possible to effectively cope with complex and changing transmission environments, ensure the accuracy and timeliness of slope monitoring data, and provide reliable data support for decision-making.

[0045] In order to ensure the pertinence and effectiveness of the governance solution, in an optional implementation manner, after the above step S201, the method further includes:

[0046] Step S401, obtaining geological data of the slope, wherein the geological data at least includes density, water content and interlayer structure of the soil of the slope;

[0047] Step S402, calculating the comprehensive stability parameter of the slope using the third formula according to the geological data, the third formula is: S represents the above comprehensive stability parameter, W s represents the driving force of the landslide, θ represents the water content mentioned above, represents the maximum allowable inclination angle of the slope, ρ represents the above density, L represents the total thickness of the above interlayer structure, and F s Indicates the shear strength of slope soil;

[0048] Step S403, determining a preliminary treatment plan based on the above comprehensive stability parameters;

[0049] Step S404, using the fourth formula to calculate the treatment parameters corresponding to the above preliminary treatment plan, the above fourth formula is G=S·(C+μ·N), G represents the above treatment parameters, C represents the cohesion of the above slope soil, μ represents the friction coefficient, and N is the normal stress perpendicular to the sliding surface.

[0050] In the above embodiment, high-precision geological radar and seismic exploration equipment are used to conduct geological exploration to obtain data on the density ρ, water content θ and interlayer structure L of the slope soil, and the comprehensive stability parameter S of the slope is calculated by the formula using the obtained geological data. The expression is: Among them, F s is the shear strength of the slope soil, L t is the total thickness of the interlayer structure L. The shear strength of the slope soil can be expressed as follows using the Mohr-Coulomb shear strength criterion: s=C+N·tan(φ), where C is the cohesion of the soil (unit: kPa), that is, the bonding force between particles, N is the normal stress (unit: kPa), the stress perpendicular to the sliding surface, and φ is the internal friction angle (unit: degree), which represents the friction between particles inside the soil. According to the calculated slope comprehensive stability parameter S, a preliminary treatment plan is designed, and the parameters corresponding to the required treatment plan are calculated using the formula G=S·(C+μ·N), that is, the above-mentioned treatment parameters. The above-mentioned treatment parameters directly correspond to the preset treatment plan, and each of the above-mentioned treatment parameter values ​​represents treatment measures of different strengths and types. When the calculated parameter is G=2, the system will select the corresponding medium reinforcement plan, such as adding anchor rods and using prefabricated component slope protection wall support; if the value of G changes, the plan will be adjusted accordingly, for example, when G=3, it will be upgraded to an enhanced reinforcement measure. In general, by using high-precision geological radar and seismic exploration equipment for geological exploration, the density, water content and interlayer structure data of the slope soil are obtained. The accuracy and comprehensiveness of these data lay a solid foundation for subsequent analysis and design. Then, the comprehensive stability parameters of the slope are calculated using the formula. The comprehensive stability parameters comprehensively consider the shear strength of the slope soil and the total thickness of the interlayer structure. The stability state of the slope is clarified through mathematical expressions to ensure the objectivity and accuracy of the evaluation results. According to the calculated comprehensive stability parameters, a preliminary treatment plan is designed, and the required treatment measure parameters are further calculated using the formula. The parameters in the formula include the cohesion, friction coefficient and normal stress perpendicular to the sliding surface of the slope soil, ensuring the pertinence and effectiveness of the treatment plan. Through this scientific and systematic method, the unstable factors of the slope can be accurately identified and quantified, and a practical treatment plan can be formulated, which greatly improves the efficiency and safety of treatment and reduces construction risks and costs.

[0051] In order to improve the accuracy and reliability of landslide risk prediction, in an optional implementation manner, the above step S202 includes:

[0052] Step S2021, constructing the slope digital twin model using the sensor data. The expression of the slope digital twin model is: M(t) represents the digital twin model of the slope at time t, ρ represents the density of the soil, represents the comprehensive function of the above sensor data, Δx represents the above displacement, represents the above-mentioned inclination angle, σ represents the above-mentioned stress;

[0053] Step S2022, the slope digital twin model is combined with the fifth formula to perform landslide risk assessment to calculate the landslide risk value. The fifth formula is: P s represents the above landslide risk value, represents the landslide impact factor function related to the above sensor data, R i is the resistance parameter of the above landslide risk, and n is the number of landslide influencing factors.

[0054] In the above embodiment, seismic sensors, inclination sensors and stress sensors are arranged at key positions of the slope to monitor the displacement Δx, inclination angle and stress of the slope in real time. Through real-time monitoring by these sensors, we can understand the current geological status and change trend of the slope in detail. Using the acquired sensor data, we can obtain the geological data of the slope through the formula Represents the digital twin model of the slope, which represents the comprehensive geological status of the slope at the current time point. is a comprehensive function of sensor data, combining displacement, inclination and stress changes, t is time in seconds; among them, the function It is expressed in the following form: a1, a2, and a3 are weight coefficients of seismic sensors, tilt sensors, and stress sensors, respectively, which are determined based on experimental data and model calibration results. Δx is the displacement monitored by the sensor, which is used to reflect the horizontal or vertical displacement change of slope sliding. is the inclination angle of the slope, indicating the degree of inclination of the slope surface, and σ is the stress on the sliding surface of the slope, including shear stress and normal stress. Using the slope digital twin model and simulation algorithm, the landslide risk value P of the slope is predicted. s , whose expression is: in, is the landslide impact factor function related to the sensor data, the unit is dimensionless, and the specific expression is k1, k2 and k3 are weight coefficients used to adjust the contribution of different parameters to landslide risk. i is the resistance parameter of landslide risk, and the specific calculation expression is R i =F s +x1·W+x2·D, where W=mg, W is the external load, m is the mass of the external load, which comes from the mass of soil, gravel or other external materials piled on the slope, g is the acceleration of gravity, and D is a dimensionless value ranging from 0 to 1. D=0 means that the drainage system is completely ineffective, and D=1 means that the drainage system is completely effective. Both x1 and x2 are weight coefficients. i It reflects the ability of the slope to resist landslide. If R i If the value is larger, it means that the soil has strong anti-sliding ability and low landslide risk. Using the landslide risk prediction formula to conduct landslide risk assessment can quantitatively predict landslide risks and development trends, identify potential landslide risk areas and key influencing factors, improve the accuracy and reliability of landslide risk prediction, and ensure the effectiveness and timeliness of the governance plan through real-time data synchronization and dynamic adjustment.

[0055] In order to fully reflect the geological state of the slope at the current time point and in dynamic changes, in an optional implementation, after the above step S202, the method further includes:

[0056] Step S501, updating the slope digital twin model in real time according to the sixth formula, the sixth formula is M(t+Δt) represents the above slope digital twin model after being updated at time t+Δt, and Δt represents the time increment.

[0057] In the above embodiment, within the time increment, by the above sixth formula The digital twin model of the slope is updated in real time to reflect the dynamic changes in the geological conditions of the slope. Using the data acquired in real time, the digital twin model is calculated and updated through the sixth formula to fully reflect the geological status of the slope at the current time point and in dynamic changes, enhancing the perception and understanding of the geological changes of the slope.

[0058] In order to effectively avoid the limitation that the static solution cannot cope with sudden geological changes, in an optional implementation manner, the above step S203 includes:

[0059] Step S2031, using the sensor data to calculate the current geological condition change rate through the seventh formula, the seventh formula is: V g is the change rate of the above current geological conditions, is the rate of change of displacement with time, is the rate of change of the inclination angle with time, is the rate of change of stress with time;

[0060] Step S2032, calculating the governance adjustment factor according to the above current geological condition change rate through the eighth formula, the eighth formula is A g represents the above-mentioned governance adjustment factor, λ represents the adjustment coefficient, and S represents the comprehensive stability coefficient;

[0061] Step S2033, dynamically adjust the governance scheme parameters according to the governance adjustment factor through the tenth formula, the tenth formula is G t are the parameters of the above governance scheme, and G0 is the initial governance scheme parameter.

[0062] In the above embodiment, the displacement, inclination and stress of the slope are monitored in real time by seismic sensors, inclination sensors and stress sensors to obtain the current geological conditions. The monitoring data is used to calculate the displacement, inclination and stress of the slope through the seventh formula. Calculate the rate of change of geological conditions V g . According to the geological conditions, the rate of change Vg , through the eighth formula Calculate the governance adjustment factor A g ; Based on the governance adjustment factor A g , through the tenth formula Dynamically adjust the parameter G of the governance plan. The dynamic adjustment mechanism enables the governance plan to be adjusted immediately according to the changes in geological data monitored in real time, so as to quickly respond to and adapt to changes in geological conditions. This flexibility ensures that the governance plan always matches the actual geological conditions, effectively avoiding the limitation that the static plan cannot cope with sudden geological changes. In addition, the dynamic adjustment mechanism can foresee and prevent potential landslide risks through continuous monitoring and instant feedback, take preventive measures early, significantly improve the safety of slope management, and reduce the risk of loss of life and property. At the same time, the implementation of this mechanism makes the governance plan more accurate, thereby improving the reliability of the project, ensuring that each step of the governance measure is implemented at the most appropriate time and place, and improving the effectiveness and success rate of governance. Furthermore, the dynamic adjustment mechanism optimizes the use of resources, reduces unnecessary investment and waste, and improves the economic benefits of the project.

[0063] In order to ensure the firmness and long-term stability of the slope foundation, in an optional implementation manner, after the above step S204, the method further includes:

[0064] Step S601, according to the above current slope control plan, determine the assembly method of the control structure using prefabricated components, assemble the above control structure using the above assembly method and use the above control structure to complete the slope control, the above prefabricated components include slope protection walls, anchor rods and prefabricated piles.

[0065] In the above embodiment, the above prefabricated components are used to strengthen the structural stability of the slope; the slope protection wall is constructed by combining prefabrication and on-site assembly, reducing the workload of on-site concrete pouring and improving construction efficiency and quality; the anchor rod is used to fix and reinforce the slope protection wall, and the anchor rod is fixed inside the slope by drilling and grouting technology to increase the anti-slip ability of the slope; the prefabricated pile is used to support and reinforce the slope foundation, and is constructed by combining prefabrication and piling. By using prefabricated components, the efficiency and quality of the slope treatment project can be significantly improved. First, the prefabricated slope protection wall greatly reduces the workload of on-site concrete pouring through the construction method of combining prefabrication and on-site assembly, which not only shortens the construction period, but also reduces the environmental impact on the construction site, and reduces the noise and dust pollution during the construction process. Secondly, the application of the anchor rod is firmly fixed inside the slope by drilling and grouting technology, which effectively increases the anti-slip ability of the slope. The use of the anchor rod can provide strong support and fixing force to prevent the slope from sliding, thereby enhancing the stability of the entire slope structure. Precast piles are constructed by combining prefabrication and piling, which further enhances the support and reinforcement effect of the slope foundation. The use of precast piles can provide additional support in areas with complex foundation conditions or high bearing capacity requirements, ensuring the firmness and long-term stability of the slope foundation.

[0066] For example, the treatment plan in this embodiment includes setting up a drainage system to reduce the moisture content in the slope soil; wherein, the drainage system includes setting up drainage ditches, drainage pipes and infiltration wells to effectively remove the accumulated water in the slope soil, reduce the moisture content of the soil, and prevent soil sliding and collapse caused by excessive moisture; the drainage ditches are arranged along the surface of the slope to collect and guide surface water to drain out of the slope area; the drainage pipes are buried inside the slope to discharge the seepage water inside the soil; the infiltration wells are arranged at the outlet of the drainage pipes to effectively discharge the moisture in the slope soil by a combination of infiltration and drainage.

[0067] By setting up a drainage system, the moisture content in the slope soil is effectively reduced, thereby significantly improving the stability and safety of the slope. Specifically, the drainage system consists of three parts: drainage ditches, drainage pipes and infiltration wells, which fully cover the drainage needs of the surface and the soil.

[0068] First, the drainage ditch is arranged along the surface of the slope, which can effectively collect and guide surface water and prevent the accumulation of surface water. By quickly draining the surface water, the drainage ditch can reduce the penetration of surface water into the slope soil, reduce the moisture content of the soil, and prevent the soil from sliding and collapsing due to excessive moisture. This measure can effectively mitigate the impact of extreme weather such as rainfall on the stability of the slope and ensure the long-term stability of the slope. Secondly, the drainage pipe is buried inside the slope to discharge the seepage water inside the soil. The internal drainage pipe system can penetrate deep into the soil, discharge the water that has penetrated into the soil, and further reduce the moisture content of the soil. By reducing the moisture content inside the soil, the drainage pipe system can significantly improve the shear strength of the soil, prevent the softening and sliding of the soil due to excessive moisture, and thus enhance the overall stability of the slope. Finally, the infiltration well is set at the outlet of the drainage pipe, and the moisture in the slope soil is effectively discharged by combining infiltration and drainage. The infiltration well can not only quickly discharge the accumulated water in the drainage pipe system, but also further reduce the moisture content in the soil through infiltration. This comprehensive drainage method can ensure the efficient operation of the drainage system and prevent water accumulation and soil instability caused by poor drainage.

[0069] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0070] The embodiment of the present application also provides an open-pit mine slope landslide control device. It should be noted that the open-pit mine slope landslide control device of the embodiment of the present application can be used to execute the open-pit mine slope landslide control method provided by the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0071] The open-pit mine slope landslide control device provided in the embodiment of the present application is introduced below.

[0072] Figure 3 1 is a structural block diagram of an open-pit mine slope landslide control device according to an embodiment of the present application. Figure 3 As shown, the device comprises:

[0073] The first acquisition unit 10 is used to acquire sensor data of the slope in real time, wherein the sensor data includes displacement, inclination and stress of the slope.

[0074] Specifically, sensors include seismic sensors, inclination sensors, and stress sensors, which are used to monitor the geological changes, support, and reinforcement measures of the slope in real time. Sensors are used to monitor the displacement, stress, and inclination of the slope in real time to obtain corresponding sensor data.

[0075] An evaluation unit 20 is constructed to construct a digital twin model of the slope according to the sensor data, and to perform landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value. The digital twin model of the slope is used to simulate the stress and deformation conditions of the slope.

[0076] Specifically, a finite element model of the slope is established based on the above sensor data, and the finite element analysis algorithm is used to simulate the stress and deformation of the slope, and analyze the stability and potential sliding surface of the slope. The finite element analysis algorithm is a numerical analysis method. By dividing the slope soil and structure into a limited number of small units, the physical and mechanical properties of each unit can be accurately calculated, thereby obtaining the overall stress and deformation distribution. By simulating actual geological conditions and external loads, finite element analysis can describe in detail the stress distribution, deformation and potential sliding surface position of the slope under different working conditions, and identify the areas and instability modes where the slope may become unstable. In addition, the machine learning algorithm evaluates and predicts the stability of the slope by analyzing a large amount of historical data and monitoring data, identifies potential relationships and patterns that are difficult to find with traditional methods, and provides more accurate and intelligent stability predictions. By combining finite element analysis and machine learning algorithms, not only can high-precision slope stress and deformation analysis be provided, but also dynamic stability evaluation and landslide risk prediction can be performed, providing a scientific basis and decision support for slope management. Machine learning algorithms build prediction models for slope landslides by learning and analyzing historical geological data and monitoring data, predicting the risk and development trend of slope landslides, and building high-precision landslide prediction models by deeply mining and analyzing the potential laws and patterns in historical geological data and real-time monitoring data. By comprehensively considering multiple geological parameters and environmental factors, machine learning algorithms can identify early signs and key influencing factors of landslides, and provide quantitative evaluation and prediction for slope stability.

[0077] The first calculation unit 30 is used to calculate the current geological condition change rate in real time using the above-mentioned sensor data when the above-mentioned landslide risk value is greater than the set risk threshold, and dynamically adjust the control plan parameters based on the above-mentioned current geological condition change rate. The above-mentioned current geological condition change rate is the change rate of the sum of the above-mentioned displacement change rate over time, the inclination change rate over time and the stress change rate over time. The above-mentioned control plan parameters are parameters that mark the corresponding slope control plan.

[0078] Specifically, the size of the landslide risk value determines whether control measures need to be taken. When the landslide risk value is greater than the set risk threshold, it indicates that the landslide risk is high and control measures must be initiated immediately, such as reinforcement or drainage. Therefore, the above sensor data is required to calculate the current geological condition change rate in real time, and dynamically adjust the control plan parameters based on the above current geological condition change rate to obtain the current control plan parameters. When the landslide risk value is less than or equal to the set risk threshold, it means that the slope is in a relatively stable state. At this time, no control is required, and only the slope dynamics need to be continuously monitored so that timely action can be taken when the risk increases.

[0079] The first determination unit 40 is used to determine the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0080] Specifically, a slope control plan corresponds to a control parameter. Therefore, the corresponding current slope control plan can be queried according to the current control plan parameters, and finally the landslide control is carried out according to the above current slope control plan. By dynamically adjusting the control plan according to the control parameters, it is ensured that the control measures always adapt to the changes in the geological conditions of the slope, improve the accuracy and reliability of the control, thereby achieving long-term stability and safety of the slope, reducing the cost of control, and improving the overall benefits of the project.

[0081] In this embodiment, a first acquisition unit is used to acquire sensor data in real time, and the above sensor data includes the displacement, inclination and stress of the above slope; an evaluation unit is constructed, which is used to construct a digital twin model of the slope according to the above sensor data, and perform landslide risk assessment based on the above slope digital twin model to obtain a landslide risk value, and the above slope digital twin model is used to simulate the stress and deformation of the above slope; a first calculation unit is used to calculate the current geological condition change rate in real time using the above sensor data when the landslide risk value is greater than the set risk threshold, and dynamically adjust the control plan parameters based on the above current geological condition change rate, the above current geological condition change rate is the change rate of the sum of the above displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the above control plan parameters are parameters that mark the corresponding slope control plan; a first determination unit is used to determine the current slope control plan according to the above control plan parameters, so as to perform landslide control according to the above current slope control plan. This application combines sensors to monitor slope displacement, stress and inclination in real time, constructs an accurate digital twin model of the slope, predicts landslides based on the digital twin model of the slope combined with simulation algorithms, and obtains landslide risk values, thereby achieving efficient disaster prevention and management; by dynamically adjusting the governance plan, it ensures that the governance measures always adapt to changes in the geological conditions of the slope, improves the accuracy and reliability of governance, thereby achieving long-term stability and safety of the slope, reducing governance costs, and improving the overall benefits of the project. This application solves the problem that slope governance plans in the prior art are usually based on static designs, which are difficult to dynamically adjust according to changes in real-time geological data, which can easily lead to a mismatch between governance measures and actual conditions.

[0082] In order to effectively cope with the complex and changeable transmission environment and thus improve the stability of data transmission, in an optional implementation manner, the device further includes:

[0083] A detection unit, used for detecting data flow and transmission demand in real time and obtaining current data transmission frequency during the above sensor data transmission process before obtaining sensor data in real time;

[0084] The second calculation unit is used to calculate the data transmission frequency adjustment factor according to the first formula. The first formula is: F a is the data transmission frequency adjustment factor, α, β, and γ are adjustment coefficients, α determines the influence weight of the ratio of the transmission demand to the data flow on the frequency adjustment, β determines the influence weight of the change rate of the transmission demand on the frequency adjustment, and γ determines the influence weight of the change rate of the data flow on the frequency adjustment. d represents the above transmission requirements, D f Indicates the above data traffic, represents the time rate of change of the above transmission demand, Indicates the time rate of change of the above data traffic;

[0085] An adjustment unit is used to dynamically adjust the data transmission frequency according to the data transmission frequency adjustment factor by a second formula, wherein the second formula is: f t is the data transmission frequency at time t, and f0 is the current data transmission frequency mentioned above.

[0086] In the above embodiment, the data flow and transmission demand are monitored in real time through the sensor network to obtain the current transmission status; through the first formula Calculate the data transmission frequency adjustment factor F a , It indicates the time rate of change of the above transmission demand, that is, the rate at which the transmission demand changes over time, in bits per second. It represents the time change rate of the above data flow, that is, the rate of change of data flow over time, in bits per second; according to the data transmission frequency adjustment factor, the second formula Dynamically adjust the data transmission frequency f t . Through the above formula, it can be ensured that during the sensor data transmission process, the adaptive frequency adjustment algorithm can respond to the changes in data flow and transmission demand in real time, dynamically adjust the data transmission frequency, and thus improve the efficiency and reliability of data transmission. Specifically, when the data flow increases or the transmission demand increases, the adjustment factor will automatically increase the data transmission frequency to ensure the timely transmission of data and avoid transmission delays or data loss; on the contrary, when the data flow decreases or the transmission demand decreases, the adjustment factor will reduce the data transmission frequency, thereby reducing unnecessary transmission activities and saving system energy consumption. This adaptive adjustment mechanism not only improves the overall performance of the transmission system, but also optimizes the utilization of system resources by dynamically adjusting the transmission frequency, ensuring the efficient operation of the system and the effective utilization of energy. In addition, this adaptive frequency adjustment algorithm is also highly flexible and intelligent, and can be quickly adjusted according to real-time monitoring data to meet the needs under different transmission conditions, significantly improving the stability and adaptability of the transmission system, and providing a strong guarantee for data transmission in the process of slope management. In this way, it is possible to effectively cope with complex and changing transmission environments, ensure the accuracy and timeliness of slope monitoring data, and provide reliable data support for decision-making.

[0087] In order to ensure the pertinence and effectiveness of the treatment plan, in an optional implementation manner, the device further includes:

[0088] A second acquisition unit is used to acquire the geological data of the slope after acquiring the sensor data in real time, wherein the geological data at least includes the density, water content and interlayer structure of the soil of the slope;

[0089] The third calculation unit is used to calculate the comprehensive stability parameter of the slope according to the geological data using a third formula. The third formula is: S represents the above comprehensive stability parameter, W s represents the driving force of the landslide, θ represents the water content mentioned above, represents the maximum allowable inclination angle of the slope, ρ represents the above density, L t Represents the total thickness of the above interlayer structure, F s Indicates the shear strength of slope soil;

[0090] The second determination unit is used to determine a preliminary governance plan according to the above comprehensive stability parameters;

[0091] The fourth calculation unit is used to calculate the control parameters corresponding to the above-mentioned preliminary control plan using the fourth formula. The above-mentioned fourth formula is G=S·(C+μ·N), G represents the above-mentioned control parameters, C represents the cohesion of the above-mentioned slope soil, μ represents the friction coefficient, and N is the normal stress perpendicular to the sliding surface.

[0092] In the above embodiment, high-precision geological radar and seismic exploration equipment are used to conduct geological exploration to obtain data on the density ρ, water content θ and interlayer structure L of the slope soil, and the comprehensive stability parameter S of the slope is calculated by the formula using the obtained geological data. The expression is: Among them, F s is the shear strength of the slope soil, L t is the total thickness of the interlayer structure L. The shear strength of the slope soil can be expressed as follows using the Mohr-Coulomb shear strength criterion: s=C+N·tan(φ), where C is the cohesion of the soil (unit: kPa), that is, the bonding force between particles, N is the normal stress (unit: kPa), the stress perpendicular to the sliding surface, and φ is the internal friction angle (unit: degree), which represents the friction between particles inside the soil. According to the calculated slope comprehensive stability parameter S, a preliminary treatment plan is designed, and the parameters corresponding to the required treatment plan are calculated using the formula G=S·(C+μ·N), that is, the above-mentioned treatment parameters. The above-mentioned treatment parameters directly correspond to the preset treatment plan, and each of the above-mentioned treatment parameter values ​​represents treatment measures of different strengths and types. When the calculated parameter is G=2, the system will select the corresponding medium reinforcement plan, such as adding anchor rods and using prefabricated component slope protection wall support; if the value of G changes, the plan will be adjusted accordingly, for example, when G=3, it will be upgraded to an enhanced reinforcement measure. In general, by using high-precision geological radar and seismic exploration equipment for geological exploration, the density, water content and interlayer structure data of the slope soil are obtained. The accuracy and comprehensiveness of these data lay a solid foundation for subsequent analysis and design. Then, the comprehensive stability parameters of the slope are calculated using the formula. The comprehensive stability parameters comprehensively consider the shear strength of the slope soil and the total thickness of the interlayer structure. The stability state of the slope is clarified through mathematical expressions to ensure the objectivity and accuracy of the evaluation results. According to the calculated comprehensive stability parameters, a preliminary treatment plan is designed, and the required treatment measure parameters are further calculated using the formula. The parameters in the formula include the cohesion, friction coefficient and normal stress perpendicular to the sliding surface of the slope soil, ensuring the pertinence and effectiveness of the treatment plan. Through this scientific and systematic method, the unstable factors of the slope can be accurately identified and quantified, and a practical treatment plan can be formulated, which greatly improves the efficiency and safety of treatment and reduces construction risks and costs.

[0093] In order to improve the accuracy and reliability of landslide risk prediction, in an optional implementation manner, the construction evaluation unit includes:

[0094] The construction module uses the above sensor data to construct the above slope digital twin model. The expression of the above slope digital twin model is: M(t) represents the digital twin model of the slope at time t, ρ represents the density of the soil, represents the comprehensive function of the above sensor data, Δx represents the above displacement, represents the above-mentioned inclination angle, σ represents the above-mentioned stress;

[0095] The evaluation module combines the above slope digital twin model with the fifth formula to evaluate the landslide risk and calculates the landslide risk value. The fifth formula is: P s represents the above landslide risk value, represents the landslide impact factor function related to the above sensor data, R i is the resistance parameter of the above landslide risk, and n is the number of landslide influencing factors.

[0096] In the above embodiment, seismic sensors, inclination sensors and stress sensors are arranged at key positions of the slope to monitor the displacement Δx, inclination angle and stress of the slope in real time. Through real-time monitoring by these sensors, we can understand the current geological status and change trend of the slope in detail. Using the acquired sensor data, we can obtain the geological data of the slope through the formula Represents the digital twin model of the slope, which represents the comprehensive geological status of the slope at the current time point. is a comprehensive function of sensor data, combining displacement, inclination and stress changes, t is time in seconds; among them, the function It is expressed in the following form: a1, a2, and a3 are weight coefficients of seismic sensors, tilt sensors, and stress sensors, respectively, which are determined based on experimental data and model calibration results. Δx is the displacement monitored by the sensor, which is used to reflect the horizontal or vertical displacement change of slope sliding. is the inclination angle of the slope, indicating the degree of inclination of the slope surface, and σ is the stress on the sliding surface of the slope, including shear stress and normal stress. Using the slope digital twin model and simulation algorithm, the landslide risk value P of the slope is predicted. s , whose expression is: in, is the landslide impact factor function related to the sensor data, the unit is dimensionless, and the specific expression is k1, k2 and k3 are weight coefficients used to adjust the contribution of different parameters to landslide risk. i is the resistance parameter of landslide risk, and the specific calculation expression is R i =F s +x1·W+x2·D, where W=mg, W is the external load, m is the mass of the external load, which comes from the mass of soil, gravel or other external materials piled on the slope, g is the acceleration of gravity, and D is a dimensionless value ranging from 0 to 1. D=0 means that the drainage system is completely ineffective, and D=1 means that the drainage system is completely effective. Both x1 and x2 are weight coefficients. i It reflects the ability of the slope to resist landslide. If R i If the value is larger, it means that the soil has strong anti-sliding ability and low landslide risk. Using the landslide risk prediction formula to conduct landslide risk assessment can quantitatively predict landslide risks and development trends, identify potential landslide risk areas and key influencing factors, improve the accuracy and reliability of landslide risk prediction, and ensure the effectiveness and timeliness of the governance plan through real-time data synchronization and dynamic adjustment.

[0097] In order to fully reflect the geological state of the slope at the current time point and in dynamic changes, in an optional implementation, the device also includes:

[0098] An updating unit is used to update the slope digital twin model in real time according to a sixth formula after building the slope digital twin model according to the sensor data. The sixth formula is: M(t+Δt) represents the above slope digital twin model after being updated at time t+Δt, and Δt represents the time increment.

[0099] In the above embodiment, within the time increment, by the above sixth formula The digital twin model of the slope is updated in real time to reflect the dynamic changes in the geological conditions of the slope. Using the data acquired in real time, the digital twin model is calculated and updated through the sixth formula to fully reflect the geological status of the slope at the current time point and in dynamic changes, enhancing the perception and understanding of the geological changes of the slope.

[0100] In order to effectively avoid the limitation that the static solution cannot cope with sudden geological changes, in an optional implementation manner, the first calculation unit includes:

[0101] The first calculation module uses the sensor data to calculate the current geological condition change rate through the seventh formula. The seventh formula is: V g is the change rate of the above current geological conditions, is the rate of change of displacement with time, is the rate of change of the inclination angle with time, is the rate of change of stress with time;

[0102] The second calculation module calculates the governance adjustment factor according to the above current geological condition change rate through the eighth formula. The above eighth formula is: A g represents the above-mentioned governance adjustment factor, λ represents the adjustment coefficient, and S represents the comprehensive stability coefficient;

[0103] The adjustment module dynamically adjusts the governance scheme parameters according to the governance adjustment factor through the tenth formula. The tenth formula is: G t are the parameters of the above governance scheme, and G0 is the initial governance scheme parameter.

[0104] In the above embodiment, the displacement, inclination and stress of the slope are monitored in real time by seismic sensors, inclination sensors and stress sensors to obtain the current geological conditions. The monitoring data is used to calculate the displacement, inclination and stress of the slope through the seventh formula. Calculate the rate of change of geological conditions V g. According to the geological conditions, the rate of change V g , through the eighth formula Calculate the governance adjustment factor A g ; Based on the governance adjustment factor A g , through the tenth formula Dynamically adjust the governance scheme parameter G t . The dynamic adjustment mechanism enables the governance plan to be adjusted immediately according to the changes in geological data monitored in real time, so as to quickly respond to and adapt to changes in geological conditions. This flexibility ensures that the governance plan always matches the actual geological conditions, effectively avoiding the limitation that the static plan cannot cope with sudden geological changes. In addition, the dynamic adjustment mechanism can foresee and prevent potential landslide risks through continuous monitoring and instant feedback, take preventive measures early, significantly improve the safety of slope management, and reduce the risk of loss of life and property. At the same time, the implementation of this mechanism makes the governance plan more accurate, thereby improving the reliability of the project, ensuring that each step of the governance measure is implemented at the most appropriate time and place, and improving the effectiveness and success rate of governance. Furthermore, the dynamic adjustment mechanism optimizes the use of resources, reduces unnecessary investment and waste, and improves the economic benefits of the project.

[0105] In order to ensure the firmness and long-term stability of the slope foundation, in an optional embodiment, the device further comprises:

[0106] The third determination unit, after determining the current slope control scheme according to the above-mentioned control scheme parameters, determines the assembly method of the control structure according to the above-mentioned current slope control scheme using prefabricated components, so as to assemble the above-mentioned control structure using the above-mentioned assembly method and complete the slope control using the above-mentioned control structure, wherein the above-mentioned prefabricated components include slope protection walls, anchor rods and prefabricated piles.

[0107] In the above embodiment, the above prefabricated components are used to strengthen the structural stability of the slope; the slope protection wall is constructed by combining prefabrication and on-site assembly, reducing the workload of on-site concrete pouring and improving construction efficiency and quality; the anchor rod is used to fix and reinforce the slope protection wall, and the anchor rod is fixed inside the slope by drilling and grouting technology to increase the anti-slip ability of the slope; the prefabricated pile is used to support and reinforce the slope foundation, and is constructed by combining prefabrication and piling. By using prefabricated components, the efficiency and quality of the slope treatment project can be significantly improved. First, the prefabricated slope protection wall greatly reduces the workload of on-site concrete pouring through the construction method of combining prefabrication and on-site assembly, which not only shortens the construction period, but also reduces the environmental impact on the construction site, and reduces the noise and dust pollution during the construction process. Secondly, the application of the anchor rod is firmly fixed inside the slope by drilling and grouting technology, which effectively increases the anti-slip ability of the slope. The use of the anchor rod can provide strong support and fixing force to prevent the slope from sliding, thereby enhancing the stability of the entire slope structure. Precast piles are constructed by combining prefabrication and piling, which further enhances the support and reinforcement effect of the slope foundation. The use of precast piles can provide additional support in areas with complex foundation conditions or high bearing capacity requirements, ensuring the firmness and long-term stability of the slope foundation.

[0108] For example, the treatment plan in this embodiment includes setting up a drainage system to reduce the moisture content in the slope soil; wherein, the drainage system includes setting up drainage ditches, drainage pipes and infiltration wells to effectively remove the accumulated water in the slope soil, reduce the moisture content of the soil, and prevent soil sliding and collapse caused by excessive moisture; the drainage ditches are arranged along the surface of the slope to collect and guide surface water to drain out of the slope area; the drainage pipes are buried inside the slope to discharge the seepage water inside the soil; the infiltration wells are arranged at the outlet of the drainage pipes to effectively discharge the moisture in the slope soil by a combination of infiltration and drainage.

[0109] By setting up a drainage system, the moisture content in the slope soil is effectively reduced, thereby significantly improving the stability and safety of the slope. Specifically, the drainage system consists of three parts: drainage ditches, drainage pipes and infiltration wells, which fully cover the drainage needs of the surface and the soil.

[0110] First, the drainage ditch is arranged along the surface of the slope, which can effectively collect and guide surface water and prevent the accumulation of surface water. By quickly draining the surface water, the drainage ditch can reduce the penetration of surface water into the slope soil, reduce the moisture content of the soil, and prevent the soil from sliding and collapsing due to excessive moisture. This measure can effectively mitigate the impact of extreme weather such as rainfall on the stability of the slope and ensure the long-term stability of the slope. Secondly, the drainage pipe is buried inside the slope to discharge the seepage water inside the soil. The internal drainage pipe system can penetrate deep into the soil, discharge the water that has penetrated into the soil, and further reduce the moisture content of the soil. By reducing the moisture content inside the soil, the drainage pipe system can significantly improve the shear strength of the soil, prevent the softening and sliding of the soil due to excessive moisture, and thus enhance the overall stability of the slope. Finally, the infiltration well is set at the outlet of the drainage pipe, and the moisture in the slope soil is effectively discharged by combining infiltration and drainage. The infiltration well can not only quickly discharge the accumulated water in the drainage pipe system, but also further reduce the moisture content in the soil through infiltration. This comprehensive drainage method can ensure the efficient operation of the drainage system and prevent water accumulation and soil instability caused by poor drainage.

[0111] The above-mentioned open-pit mine slope landslide treatment device includes a processor and a memory, and the above-mentioned units are stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize the corresponding functions. The above-mentioned modules are all located in the same processor; or, the above-mentioned modules are located in different processors in any combination.

[0112] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters can be adjusted to solve the problem that the slope management scheme in the prior art is usually based on static design, which is difficult to dynamically adjust according to the changes in real-time geological data, which easily leads to the mismatch between the management measures and the actual situation.

[0113] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0114] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the open-pit mine slope landslide control method.

[0115] Specifically, the methods for controlling open-pit mine slope landslides include:

[0116] Step S201, acquiring sensor data of the slope in real time, the sensor data including displacement, inclination and stress of the slope;

[0117] Step S202, constructing a digital twin model of the slope according to the sensor data, and performing landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope;

[0118] Step S203, when the landslide risk value is greater than the set risk threshold, the current geological condition change rate is calculated in real time using the sensor data, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, the current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the control scheme parameters are parameters that mark the corresponding slope control scheme;

[0119] Step S204, determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0120] An embodiment of the present invention provides a processor, and the processor is used to run a program, wherein the open-pit mine slope landslide control method is executed when the program is run.

[0121] Specifically, the methods for controlling open-pit mine slope landslides include:

[0122] Step S201, acquiring sensor data of the slope in real time, the sensor data including displacement, inclination and stress of the slope;

[0123] Step S202, constructing a digital twin model of the slope according to the sensor data, and performing landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope;

[0124] Step S203, when the landslide risk value is greater than the set risk threshold, the current geological condition change rate is calculated in real time using the sensor data, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, the current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the control scheme parameters are parameters that mark the corresponding slope control scheme;

[0125] Step S204, determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0126] An embodiment of the present invention provides an open-pit mine slope landslide control system, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are implemented:

[0127] Step S201, acquiring sensor data of the slope in real time, the sensor data including displacement, inclination and stress of the slope;

[0128] Step S202, constructing a digital twin model of the slope according to the sensor data, and performing landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope;

[0129] Step S203, when the landslide risk value is greater than the set risk threshold, the current geological condition change rate is calculated in real time using the sensor data, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, the current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the control scheme parameters are parameters that mark the corresponding slope control scheme;

[0130] Step S204, determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0131] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0132] Step S201, acquiring sensor data of the slope in real time, the sensor data including displacement, inclination and stress of the slope;

[0133] Step S202, constructing a digital twin model of the slope according to the sensor data, and performing landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope;

[0134] Step S203, when the landslide risk value is greater than the set risk threshold, the current geological condition change rate is calculated in real time using the sensor data, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, the current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the control scheme parameters are parameters that mark the corresponding slope control scheme;

[0135] Step S204, determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme.

[0136] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0137] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0138] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0139] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0140] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0141] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0142] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0143] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0144] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0145] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0146] 1) The open-pit mine slope landslide control method of the present application first obtains the sensor data of the slope in real time, and the above sensor data includes the displacement, inclination and stress of the above slope; then, a digital twin model of the slope is constructed according to the above sensor data, and a landslide risk assessment is performed based on the above slope digital twin model to obtain a landslide risk value, and the above slope digital twin model is used to simulate the stress and deformation of the above slope; thereafter, when the above landslide risk value is greater than the set risk threshold, the above sensor data is used to calculate the current geological condition change rate in real time, and the control plan parameters are dynamically adjusted based on the above current geological condition change rate, the above current geological condition change rate is the change rate of the sum of the above displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the above control plan parameters are parameters for marking the corresponding slope control plan; finally, the current slope control plan is determined according to the above control plan parameters, so as to perform landslide control according to the above current slope control plan. This application combines sensors to monitor slope displacement, stress and inclination in real time, constructs an accurate digital twin model of the slope, predicts landslides based on the digital twin model of the slope combined with simulation algorithms, and obtains landslide risk values, thereby achieving efficient disaster prevention and management; by dynamically adjusting the governance plan, it ensures that the governance measures always adapt to changes in the geological conditions of the slope, improves the accuracy and reliability of governance, thereby achieving long-term stability and safety of the slope, reducing governance costs, and improving the overall benefits of the project. This application solves the problem that slope governance plans in the prior art are usually based on static designs, which are difficult to dynamically adjust according to changes in real-time geological data, which can easily lead to a mismatch between governance measures and actual conditions.

[0147] 2) The open-pit mine slope landslide control device of the present application comprises a first acquisition unit for acquiring sensor data in real time, wherein the sensor data includes the displacement, inclination and stress of the slope; an evaluation unit for constructing a digital twin model of the slope according to the sensor data, and performing a landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope; a first calculation unit for calculating the current geological condition change rate in real time using the sensor data when the landslide risk value is greater than a set risk threshold, and dynamically adjusting the control scheme parameters based on the current geological condition change rate, wherein the current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time and the stress change rate over time, and the control scheme parameters are parameters for marking the corresponding slope control scheme; a first determination unit for determining the current slope control scheme according to the control scheme parameters, so as to perform landslide control according to the current slope control scheme. This application combines sensors to monitor slope displacement, stress and inclination in real time, constructs an accurate digital twin model of the slope, predicts landslides based on the digital twin model of the slope combined with simulation algorithms, and obtains landslide risk values, thereby achieving efficient disaster prevention and management; by dynamically adjusting the governance plan, it ensures that the governance measures always adapt to changes in the geological conditions of the slope, improves the accuracy and reliability of governance, thereby achieving long-term stability and safety of the slope, reducing governance costs, and improving the overall benefits of the project. This application solves the problem that slope governance plans in the prior art are usually based on static designs, which are difficult to dynamically adjust according to changes in real-time geological data, which can easily lead to a mismatch between governance measures and actual conditions.

[0148] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for treating an open-pit mine slope, characterized in that: include: Acquiring sensor data of the slope in real time, wherein the sensor data includes displacement, inclination and stress of the slope; A digital twin model of the slope is constructed according to the sensor data, and a landslide risk assessment is performed based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope; In the case where the landslide risk value is greater than a set risk threshold, the sensor data is used to calculate the current geological condition change rate in real time, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, the current geological condition change rate is the change rate of the sum of the displacement change rate over time, the inclination change rate over time, and the stress change rate over time, and the control scheme parameters are parameters that mark the corresponding slope control scheme; A current slope control scheme is determined according to the control scheme parameters, so as to perform slope control according to the current slope control scheme.

2. The method according to claim 1, characterized in that Before acquiring the sensor data in real time, the method further includes: During the sensor data transmission process, real-time detection of data flow and transmission demand and acquisition of current data transmission frequency; The data transmission frequency adjustment factor is calculated according to a first formula, where the first formula is: F a is the data transmission frequency adjustment factor, α, β, and γ are all adjustment coefficients, α determines the influence weight of the ratio of the transmission demand to the data flow on the frequency adjustment, β determines the influence weight of the change rate of the transmission demand on the frequency adjustment, and γ determines the influence weight of the change rate of the data flow on the frequency adjustment. d represents the transmission demand, D f represents the data flow, represents the time rate of change of the transmission demand, Indicates the time rate of change of the data flow; The data transmission frequency is dynamically adjusted using a second formula according to the data transmission frequency adjustment factor. The second formula is: f t is the data transmission frequency at time t, and f0 is the current data transmission frequency.

3. The method according to claim 1, characterized in that After acquiring the sensor data in real time, the method further includes: Acquiring geological data of the slope, wherein the geological data at least includes density, water content and interlayer structure of the soil of the slope; The comprehensive stability parameter of the slope is calculated using a third formula according to the geological data. The third formula is: S represents the comprehensive stability parameter, W s represents the landslide driving force, θ represents the water content, represents the maximum allowable inclination angle of the slope, ρ represents the density, L t represents the total thickness of the interlayer structure, F s Indicates the shear strength of slope soil; Determine a preliminary treatment plan based on the comprehensive stability parameters; The fourth formula is used to calculate the treatment parameters corresponding to the preliminary treatment plan. The fourth formula is G=S·(C+μ·N), where G represents the treatment parameters, C represents the cohesion of the slope soil, μ represents the friction coefficient, and N is the normal stress perpendicular to the sliding surface.

4. The method according to claim 1, characterized in that: A slope digital twin model is constructed according to the sensor data, and a landslide risk assessment is performed based on the slope digital twin model to obtain a landslide risk value, including: The slope digital twin model is constructed using the sensor data. The expression of the slope digital twin model is: M(t) represents the digital twin model of the slope at time t, ρ represents the density of the soil, represents the comprehensive function of the sensor data, Δx represents the displacement, represents the inclination angle, σ represents the stress; The slope digital twin model is combined with the fifth formula to evaluate the landslide risk and calculate the landslide risk value. The fifth formula is: P s represents the landslide risk value, represents the landslide impact factor function associated with the sensor data, R i is the resistance parameter of the landslide risk, and n is the number of landslide influencing factors.

5. The method according to claim 4, characterized in that After constructing the slope digital twin model according to the sensor data, the method further includes: The slope digital twin model is updated in real time according to the sixth formula, and the sixth formula is: M(t+Δt) represents the slope digital twin model updated at time t+Δt, and Δt represents the time increment.

6. The method according to claim 1, characterized in that The sensor data is used to calculate the current geological condition change rate in real time, and the control scheme parameters are dynamically adjusted based on the current geological condition change rate, including: The current geological condition change rate is calculated using the seventh formula using the sensor data. The seventh formula is: V g is the change rate of the current geological conditions, is the rate of change of displacement with time, is the rate of change of the inclination angle with time, is the rate of change of stress with time; The governance adjustment factor is calculated according to the current geological condition change rate through the eighth formula, and the eighth formula is: A g represents the governance adjustment factor, λ represents the adjustment coefficient, and S represents the comprehensive stability coefficient; The governance scheme parameters are dynamically adjusted according to the governance adjustment factor through the tenth formula, and the tenth formula is: G t is the governance scheme parameter, and G0 is the initial governance scheme parameter.

7. The method according to claim 1, characterized in that After determining the current slope treatment scheme according to the treatment scheme parameters, the method further includes: According to the current slope control plan, the assembly method of the control structure is determined using prefabricated components, so that the control structure is assembled using the assembly method and the slope control is completed using the control structure. The prefabricated components include slope protection walls, anchor rods and prefabricated piles.

8. An open-pit mine slope management device, characterized in that: The device comprises: A first acquisition unit, used for acquiring sensor data in real time, wherein the sensor data includes displacement, inclination and stress of the slope; Constructing an evaluation unit, which is used to construct a digital twin model of the slope according to the sensor data, and to perform landslide risk assessment based on the digital twin model of the slope to obtain a landslide risk value, wherein the digital twin model of the slope is used to simulate the stress and deformation of the slope; A first calculation unit is used to calculate the current geological condition change rate in real time using the sensor data when the landslide risk value is greater than a set risk threshold, and dynamically adjust the control plan parameters based on the current geological condition change rate, wherein the current geological condition change rate is the change rate of the sum of the change rate of the displacement over time, the change rate of the inclination over time, and the change rate of the stress over time, and the control plan parameters are parameters for marking the corresponding slope control plan; The first determination unit is used to determine the current slope control scheme according to the control scheme parameters, so as to perform slope control according to the current slope control scheme.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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