Strip mine slope drainage and anti-seepage integrated treatment device and method

Abstract

The invention belongs to the technical field of side slope drainage and seepage prevention, discloses a strip mine side slope drainage and seepage prevention integrated treatment device and method, achieves the function of integrating drainage, seepage prevention and monitoring, and solves the problem of low efficiency caused by independent operation of modules. A real-time data processing technology and a mathematical model are utilized to dynamically adjust parameters of each module, and the adaptability of the system is improved. Through cooperative work of the central control module, the drainage module, the seepage prevention module and the monitoring module, in combination with the seepage model, the drainage optimization model and the slope stability model, an efficient and intelligent slope drainage and seepage prevention solution is provided, the stability and economic benefits of the strip mine slope are remarkably improved, and the economic benefit of the strip mine slope is improved. And innovative technical support is provided for mine engineering.

Description

Technical Field

[0001] The present invention belongs to the technical field of slope drainage and anti-seepage, and in particular relates to an integrated treatment device and method for slope drainage and anti-seepage in open pit mines. Background Art

[0002] Existing technologies for drainage and anti-seepage systems for open-pit mine slopes typically utilize separate drainage ditches or anti-seepage membrane structures. These technologies suffer from the following issues: Separation of drainage and anti-seepage systems: Traditional drainage and anti-seepage systems are typically designed independently, resulting in complex and costly construction. Seepage-induced slope instability: Existing drainage systems struggle to effectively control groundwater seepage, which can easily lead to slope instability and even landslides.

[0003] Through the above analysis, the problems and defects of the existing technology are as follows: It is difficult to form an overall data evaluation of the slope reliability, and each data is often analyzed independently, resulting in the repair work often not meeting the expected results. Summary of the Invention

[0004] In view of the problems existing in the prior art, the present invention provides an open-pit mine slope drainage and anti-seepage integrated treatment device and method.

[0005] The present invention is achieved by providing an integrated drainage and anti-seepage treatment device for open-pit mine slopes, comprising: Central control module, drainage module, anti-seepage module, monitoring module; The central control module is electrically connected to the drainage module, the anti-seepage module, and the monitoring module, and is used to integrate monitoring, data processing, and optimization design functions to control the operation of the entire system; A drainage module, including a sensor group for obtaining flow rate and flow velocity; an anti-seepage module, comprising a pressure sensor for obtaining real-time seepage pressure; The monitoring module includes a seepage sensor for measuring groundwater level and seepage rate and a displacement monitoring sensor for monitoring slope displacement.

[0006] Through the three modules, field data is obtained in multiple dimensions. Combined with the optimization algorithm of the central control module, the slope seepage, displacement, underground and above-ground drainage conditions are summarized. The algorithm is then used to provide specific guidance for the repair work in each location, so as to save manpower and material resources while ensuring the repair effect. In addition, the system can also conduct an overall assessment of the repaired structure and make expected work arrangements for each location based on past data.

[0007] Furthermore, the central control module signal data processing process includes: S101, data reception and preprocessing; S102, receiving real-time data collected by the sensor module through the embedded controller; S103, using a wavelet transform method to eliminate environmental noise and signal interference; S104, standardizing multi-source data to the same scale range to facilitate subsequent processing; S105, using the Kalman filter to perform fusion processing on the dynamic signal data and output a real-time stable prediction value; S106. Send the control parameters to the corresponding modules in real time according to the calculation results of the optimization algorithm.

[0008] Dynamic data processing is performed through wavelet transform and Kalman filter to obtain high-precision data content, which facilitates the next step of work.

[0009] Furthermore, the drainage module signal data processing process includes: S201, drainage flow monitoring: obtaining real-time flow rate data from the flow sensor of the porous drainage pipe; And apply time series analysis models to predict future traffic trends: S202, water accumulation status judgment: Combined with the water level sensor signal of the water collection well, the water level threshold is used to determine whether the overflow risk has been reached, and the drainage alarm mechanism is triggered; S203, automatic cleaning logic: Based on the particle concentration sensor, the particle concentration change in the drain pipe is monitored, and the threshold value is used to determine whether to start the cleaning device.

[0010] By analyzing the drainage module data to guide the drainage work and regularly clearing the pipes, the service life of the entire system is extended and the drainage effect is improved.

[0011] Furthermore, the automatic cleaning device in the drainage module includes a particle concentration sensor, an automatic cleaning robotic arm and a control motor.

[0012] The particle concentration sensor monitors the situation inside the pipeline, and cooperates with the central control module to drive the automatic cleaning robot arm to automatically clear the pipeline, thereby extending the service life of the entire system.

[0013] Furthermore, the signal data processing process of the anti-seepage module includes: S301, osmotic pressure monitoring: The pressure sensor records the osmotic pressure data in real time, and uses a moving average filter to smooth the pressure signal to remove fluctuation interference; S302, slurry diffusion path prediction: Calculate the diffusion path of the slurry after grouting based on the seepage equation; S303. Assessment of the status of the anti-seepage membrane: Monitor the stress of the anti-seepage membrane through stress sensors to determine whether there is damage or leakage.

[0014] Through the monitoring of seepage pressure and the evaluation of the status of the anti-seepage membrane by the anti-seepage module, the staff can be guided to lay the anti-seepage membrane in a relatively reasonable way and strengthen the fortifications in the serious seepage area, thereby extending the service life of the anti-seepage membrane project; through the prediction of the slurry diffusion path, the staff or intelligent grouting equipment can be guided to carry out grouting reinforcement on the anti-seepage wall or soil, which can save materials while ensuring the reinforcement effect.

[0015] Furthermore, the monitoring module signal data processing process: S401, seepage rate monitoring: the seepage sensor calculates the water level drop rate by recording the water flow rate; S402, Slope displacement analysis: The displacement sensor collects slope deformation in real time and calculates the cumulative displacement using the differential method; S403, comprehensive data evaluation: Integrate seepage, pressure and displacement data and use finite element model to analyze slope stability.

[0016] The monitoring module conducts an overall analysis of the overall seepage data and slope displacement data of the mine slope, and combines the data from the drainage module and the anti-seepage module to conduct a real-time analysis of the overall geotechnical conditions of the mine slope to support the optimization algorithm of the central control module to arrange repair and reinforcement work for various parts.

[0017] Furthermore, the present application also provides an integrated treatment method for open pit mine slope drainage and anti-seepage: Step 1: Integrate monitoring, data processing and optimization design functions through the central control module (1) to control the operation of the entire system; Step 2, collecting and discharging the accumulated water on the slope surface and underground through the drainage pipe network, drainage ditch and interception well in the drainage module (2). During this period, under the control of the central control module (1), the automatic cleaning device can regularly dredge the pipes; Step 3, preventing surface water from seeping in and reducing groundwater infiltration through the combined action of the composite anti-seepage membrane and the anti-seepage wall of the anti-seepage module (3), monitoring the seepage pressure through a pressure sensor, and transmitting the data back to the central control module (1) for processing; Step 4: collect real-time water flow velocity and slope deformation data through the seepage sensor and displacement monitoring sensor in the monitoring module (4), and transmit the data to the central control module (1) for slope stability analysis.

[0018] Through the above four steps, the data between the three modules collaborate with each other, thereby guiding the overall maintenance and repair work of the mine slope, so as to achieve the technical effect of saving manpower and material resources while ensuring the repair effect.

[0019] Furthermore, in step 1, the central control module (1) denoises the sensor data by wavelet transform and outputs a predicted value using a Kalman filter.

[0020] Dynamic data processing is performed through wavelet transform and Kalman filter to obtain high-precision data content, which facilitates the next step of work.

[0021] Furthermore, the drainage module (2) in step 2 predicts future flow trends through a time series analysis model.

[0022] Furthermore, the anti-seepage module (3) in step 3 predicts the specific diffusion path of the slurry by calculation based on the seepage equation.

[0023] By predicting the slurry diffusion path and guiding workers or intelligent grouting equipment to perform grouting reinforcement on anti-seepage walls or soil, it is possible to save materials while ensuring the reinforcement effect.

[0024] In summary, the technical effects that can be achieved by the present invention are: 1. Through the three modules, multi-dimensional field data is acquired. Combined with the optimization algorithm of the central control module, the slope seepage, displacement, underground and above-ground drainage conditions are summarized. The algorithm then provides specific guidance for the repair work at each location, thereby ensuring the repair effect while saving manpower and material resources. The module also enables a holistic assessment of the repaired structure and, based on past data, plans for the expected repair work at each location.

[0025] 2. By analyzing drainage module data to guide drainage work and regularly dredge pipes, the service life of the entire system is extended and the drainage effect is improved.

[0026] 3. The monitoring module conducts an overall analysis of the overall seepage data and slope displacement data of the mine slope. Combined with data from the drainage module and anti-seepage module, the overall geotechnical conditions of the mine slope are analyzed in real time to support the optimization algorithm of the central control module to arrange repair and reinforcement work for various parts.

[0027] The present invention provides an efficient and intelligent slope drainage and anti-seepage solution through the coordinated work of the central control module, drainage module, anti-seepage module and monitoring module, combined with the seepage model, drainage optimization model and slope stability model, which significantly improves the stability and economic benefits of open-pit mine slopes and provides innovative technical support for mining projects.

[0028] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a structural block diagram of the open-pit mine slope drainage and anti-seepage integrated treatment device provided in the embodiment of the present application.

[0030] Figure 2 This is a flow chart of the drainage module signal data processing method provided in an embodiment of the present application.

[0031] Figure 3 It is a flow chart of the signal data processing process of the anti-seepage module provided in the embodiment of the present application.

[0032] Figure 4 This is a flow chart of the monitoring module signal data processing method provided in an embodiment of the present application.

[0033] Figure 5 This is a flow chart of the integrated open-pit mine slope drainage and anti-seepage treatment method provided in the embodiments of the present application.

[0034] Explanation of the accompanying drawings: 1. Central control module; 2. Drainage module; 3. Anti-seepage module; 4. Monitoring module. DETAILED DESCRIPTION

[0035] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0037] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0038] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0039] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0040] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0041] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0042] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0043] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0044] like Figure 1As shown, an embodiment of the present invention provides an integrated drainage and anti-seepage treatment device for open-pit mine slopes, comprising: Central control module 1, drainage module 2, anti-seepage module 3, monitoring module 4; The central control module 1, consisting of an embedded controller and a data processing chip, is electrically connected to the drainage module 2, the anti-seepage module 3, and the monitoring module 4. It is used to integrate monitoring, data processing, and optimization design functions to control the operation of the entire system. The specific data processing flow of the central control module 1 is as follows: S101, data reception and preprocessing; S102, receiving real-time data collected by the sensor module through the embedded controller; S103, using a wavelet transform method to eliminate environmental noise and signal interference; S104, standardizing multi-source data to the same scale range to facilitate subsequent processing; S105: Use the Kalman filter to perform fusion processing on the dynamic signal data and output a real-time stable prediction value. The specific calculation method is as follows: in: : current state estimate; : current observation value; : Kalman gain; S106. According to the calculation results of the optimization algorithm, the control parameters (such as drainage network flow, anti-seepage pressure, etc.) are sent to the corresponding module in real time.

[0045] Drainage module 2, including a drainage network that uses porous pipes and is optimized in combination with a leakage model; Intercepting ditches and collection wells installed on the slope surface to collect surface runoff; automatic cleaning devices to prevent clogging of drainage ditches and pipes, and flow control components to control drainage flow.

[0046] In this embodiment, the automatic cleaning device consists of a particle concentration sensor, an automatic cleaning robot arm and a control motor. The particle concentration sensor is arranged on the automatic cleaning robot arm and is connected to the central control module signal. The automatic cleaning robot arm is connected to the control motor and driven by it. The control motor is electrically connected to the central control module 1 and controlled by it.

[0047] The particle concentration sensor monitors the changes in particle concentration in the drain pipe. When the particle concentration in the pipe reaches a threshold, the central control module 1 starts the control motor, thereby driving the automatic cleaning robot arm connected to it to move, thereby achieving the effect of clearing the blocked pipe.

[0048] In this embodiment, the flow control component consists of a butterfly valve matrix installed at the intersection of the drainage network and an electromagnetic sensor and ultrasonic sensor group for monitoring flow and flow velocity. Each butterfly valve in the matrix is ​​connected to the central control module 1 signal, and the drainage volume is optimized in combination with the seepage model of the central control module 1, giving priority to drainage in low leakage areas.

[0049] In this embodiment, the specific working process of the drainage module 2 is as follows: Figure 2 As shown: S201. Drainage flow monitoring: Obtain real-time flow rate data from electromagnetic sensors and ultrasonic sensors in flow control components in the drainage network; apply time series analysis models (such as ARIMA models) to predict future flow trends: S202, water accumulation status judgment: Combined with the water level sensor signal of the water collection well, the water level threshold is used to determine whether the overflow risk has been reached, and the drainage alarm mechanism is triggered; S203, automatic cleaning logic: Based on the particle concentration sensor, the particle concentration changes in the drainage network are monitored, and the threshold value is used to determine whether to start the cleaning device: Starting device; In this embodiment, the anti-seepage module 3 includes a multi-layer composite anti-seepage membrane, the outer layer of which is an anti-ultraviolet material and the inner layer is a high-density polyethylene; an anti-seepage wall that forms a continuous anti-seepage barrier underground on the slope using a grouting process; and a pressure sensor that monitors the seepage pressure in real time and judges the anti-seepage effect.

[0050] The specific work flow of anti-seepage module 3 is as follows Figure 3 As shown: S301, osmotic pressure monitoring: The osmotic pressure data is recorded in real time by a pressure sensor, and the pressure signal is smoothed using a moving average filter to remove fluctuation interference, thereby obtaining specific osmotic pressure monitoring data: S302, slurry diffusion path prediction: The diffusion path of the grouting liquid is calculated based on the seepage equation to provide guidance for the grouting work: in: h: height of groundwater level; k: permeability coefficient; R: slurry injection rate; The emergency grouting component includes an intelligent grouting station that integrates grouting and grouting. The intelligent grouting station is guided by the anti-seepage module 3 and repairs the anti-seepage layer according to the data provided by the anti-seepage module 3.

[0051] S303, assessment of the status of the anti-seepage membrane: monitor the stress condition of the anti-seepage membrane through the stress sensor to determine whether there is a risk of damage or leakage. If so, the central control module 1 will warn the staff and provide work guidance on the scope of replacement of the anti-seepage membrane.

[0052] The monitoring module 4 is composed of seepage sensors arranged at different depths of the slope and displacement monitoring sensors for monitoring the displacement of the slope. The seepage sensors are used to measure the groundwater level and seepage rate, and the displacement monitoring sensors are used to judge the stability of the slope.

[0053] The specific work flow of monitoring module 4 is as follows Figure 4 As shown: S401. The seepage sensor calculates the water level drop rate by recording the water flow velocity: in: : seepage rate; : water level changes; △t: time interval; S402, displacement sensor collects slope deformation in real time, and calculates cumulative displacement using differential method S403. Analyze slope stability using finite element models based on seepage, pressure, and displacement data: When Fs<1.3, the early warning signal is triggered through the central control module 1.

[0054] In summary, if Figure 5 As shown, the central control module 1 in this embodiment receives real-time data collected by the monitoring module 4, including surface water accumulation, seepage conditions, and slope stability parameters. It then uses built-in data processing algorithms to analyze the slope's hydrological conditions and seepage patterns. Based on the analysis results, the central control module 1 adjusts the operating parameters of the drainage module 2 and the anti-seepage module 3 in real time, such as drainage rate, and issues dynamic parameter recommendations for the thickness or coverage of the anti-seepage layer, to ensure efficient system operation.

[0055] Drainage Module 2 collects surface and underground water through drainage pipes and channels installed on the slope, preventing the risk of slope instability caused by long-term water accumulation. Built-in flow sensors (such as electromagnetic flowmeters and ultrasonic flowmeters) monitor drainage speed and flow in real time. Central Control Module 1 dynamically adjusts the drainage path based on water flow changes to optimize water removal efficiency. Furthermore, during heavy rain or sudden increases in groundwater levels, the module automatically increases drainage capacity to quickly dissipate water and reduce pressure on the slope structure.

[0056] The anti-seepage module 3 effectively prevents surface water from seeping downward by laying an anti-seepage membrane or injecting anti-seepage materials, thereby reducing groundwater infiltration. The module uses monitoring data to locate leaks and high-permeability areas and automatically adjusts the coverage and thickness of the anti-seepage layer. Furthermore, the module can timely repair or strengthen anti-seepage measures based on geological changes, ensuring long-term slope stability and reducing the risk of landslides or collapses caused by water infiltration.

[0057] Monitoring module 4 uses a network of deployed sensors to collect real-time slope data, including key parameters such as seepage velocity, groundwater level changes, and slope surface deformation. This data is transmitted wirelessly or wired to central control module 1, enabling the system to perform seepage analysis and slope stability assessment. Monitoring module 4 can also identify abnormal conditions, such as sudden groundwater level rise or excessive slope deformation, and send alerts to central control module 1, guiding the system to quickly adjust drainage and anti-seepage strategies.

[0058] The present invention is widely used in slope stability management of open-pit mines. Through integrated drainage and anti-seepage treatment, it reduces groundwater level and slope seepage pressure, significantly reduces the risk of slope instability, and ensures the safety and continuity of mining operations.

[0059] The present invention can be applied during the construction of tunnels, subways, dams, and other projects, particularly where drainage of accumulated water or control of seepage is required. Furthermore, in the management of geological disasters such as landslides and debris flows, the device and method can be used to rapidly drain water and prevent seepage, thereby enhancing the geological stability of the affected area.

[0060] This invention is suitable for the maintenance and renovation of water conservancy facilities, such as dam reinforcement, anti-seepage wall construction, and groundwater control. By optimizing drainage pipe networks and anti-seepage design, it can improve the operational efficiency of water conservancy projects, extend the service life of facilities, and reduce operating costs.

[0061] Based on the principles of the present invention, an integrated intelligent drainage and anti-seepage equipment can be developed, integrating the central control module 1, the seepage sensor network, the drainage network optimization system and the visual interface to provide a full-process intelligent solution for the project.

[0062] By using a seepage model and optimization algorithm to calculate the optimal drainage network layout, experiments have shown that this system improves drainage efficiency by over 40% compared to traditional methods, while reducing total drainage costs by 25%. In practice, the optimized drainage design effectively reduces the risk of water accumulation and groundwater infiltration.

[0063] This invention combines a grouting diffusion model with soil properties to design a highly effective anti-seepage solution. Tests have shown that the anti-seepage membrane and grouting wall reduce permeability by 30% compared to traditional solutions, significantly improving the slope's anti-seepage capacity and reducing groundwater damage.

[0064] In the actual project, finite element analysis models were used to assess slope stability, and the system dynamically optimized drainage and anti-seepage parameters. Test results showed that the slope safety factor (Fs) increased from 1.1 before optimization to over 1.5, meeting the stability requirements of the project design.

[0065] Through real-time data collection and model feedback, the system enables dynamic adjustments to drainage and anti-seepage plans. Experimental verification has shown that the system can quickly respond to sudden groundwater level rises or abnormal seepage, optimizing drainage and anti-seepage strategies and significantly improving project safety and efficiency.

[0066] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware portion can be implemented using dedicated logic; the software portion can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art will appreciate that the above-mentioned devices and methods can be implemented using computer-executable instructions and / or contained in processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, or can be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0067] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with this technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered by the scope of protection of the present invention.

[0068] It should be noted that the present application is not limited to the above-mentioned embodiments. The above-mentioned embodiments are merely examples, and any embodiments having substantially the same structure and effect as the technical concept within the scope of the present application are all included in the technical scope of the present application. In addition, without departing from the scope of the present application, any other embodiments that can be conceived by those skilled in the art and that combine some of the constituent elements in the embodiments are also included in the scope of the present application.

Claims

1. An integrated drainage and anti-seepage treatment device for open-pit mine slopes, characterized in that: The open pit mine slope drainage and anti-seepage integrated treatment device comprises: Central control module (1), drainage module (2), anti-seepage module (3), monitoring module (4); The central control module (1) is electrically connected to the drainage module (2), the anti-seepage module (3), and the monitoring module (4), and is used to integrate monitoring, data processing, and optimization design functions to control the operation of the entire system; A drainage module (2), comprising a sensor group for obtaining flow rate and flow velocity; An anti-seepage module (3), comprising a pressure sensor for obtaining real-time seepage pressure; The monitoring module (4) includes a seepage sensor for measuring groundwater level and seepage rate and a displacement monitoring sensor for monitoring slope displacement.

2. The open pit mine slope drainage and anti-seepage integrated treatment device according to claim 1, characterized in that: The signal data processing process of the central control module (1) includes: S101, data reception and preprocessing; S102, receiving real-time data collected by the sensor module through the embedded controller; S103, using a wavelet transform method to eliminate environmental noise and signal interference; S104, standardizing multi-source data to the same scale range to facilitate subsequent processing; S105, using the Kalman filter to perform fusion processing on the dynamic signal data and output a real-time stable prediction value; S106. Send the control parameters to the corresponding modules in real time according to the calculation results of the optimization algorithm.

3. The open-pit mine slope drainage and anti-seepage integrated treatment device according to claim 1, characterized in that: The signal data processing process of the drainage module (2) includes: S201, drainage flow monitoring: obtaining real-time flow rate data from the flow sensor of the porous drainage pipe; And apply time series analysis models to predict future traffic trends: S202, water accumulation status judgment: Combined with the water level sensor signal of the water collection well, the water level threshold is used to determine whether the overflow risk has been reached, and the drainage alarm mechanism is triggered; S203, automatic cleaning logic: Based on the particle concentration sensor, the particle concentration change in the drain pipe is monitored, and the threshold value is used to determine whether to start the cleaning device.

4. The open-pit mine slope drainage and anti-seepage integrated treatment device according to claim 1, characterized in that: The drainage module (2) comprises an automatic cleaning device, which comprises a particle concentration sensor, an automatic cleaning mechanical arm and a control motor.

5. The open pit mine slope drainage and anti-seepage integrated treatment device according to claim 1, characterized in that: The signal data processing process of the anti-seepage module (3) includes: S301, osmotic pressure monitoring: The pressure sensor records the osmotic pressure data in real time, and uses a moving average filter to smooth the pressure signal to remove fluctuation interference; S302, slurry diffusion path prediction: Calculate the diffusion path of the slurry after grouting based on the seepage equation; S303. Assessment of the status of the anti-seepage membrane: Monitor the stress of the anti-seepage membrane through stress sensors to determine whether there is damage or leakage.

6. The open pit mine slope drainage and anti-seepage integrated treatment device according to claim 1, characterized in that: The signal data processing process of the monitoring module (4): S401, seepage rate monitoring: the seepage sensor calculates the water level drop rate by recording the water flow rate; S402, Slope displacement analysis: The displacement sensor collects slope deformation in real time and calculates the cumulative displacement using the differential method; S403, comprehensive data evaluation: Integrate seepage, pressure and displacement data and use finite element model to analyze slope stability.

7. An integrated drainage and anti-seepage treatment method for open pit mine slopes, characterized in that: The open pit mine slope drainage and anti-seepage integrated treatment method comprises: Step 1: Integrate monitoring, data processing and optimization design functions through the central control module (1) to control the operation of the entire system; Step 2, collecting and discharging the accumulated water on the slope surface and underground through the drainage pipe network, drainage ditch and interception well in the drainage module (2). During this period, under the control of the central control module (1), the automatic cleaning device can regularly dredge the pipes; Step 3, preventing surface water from seeping in and reducing groundwater infiltration through the combined action of the composite anti-seepage membrane and the anti-seepage wall of the anti-seepage module (3), monitoring the seepage pressure through a pressure sensor, and transmitting the data back to the central control module (1) for processing; Step 4: collect real-time water flow velocity and slope deformation data through the seepage sensor and displacement monitoring sensor in the monitoring module (4), and transmit the data to the central control module (1) for slope stability analysis.

8. The method for integrated drainage and anti-seepage treatment of open pit slopes according to claim 7, characterized in that : In step 1, the central control module (1) denoises the sensor data through wavelet transform and outputs the predicted value using Kalman filter.

9. The method for integrated drainage and anti-seepage treatment of open pit slopes according to claim 7, characterized in that : The drainage module (2) described in step 2 predicts future flow trends through a time series analysis model.

10. The method for integrated drainage and anti-seepage treatment of open pit slopes according to claim 7, characterized in that : The anti-seepage module (3) in step 3 predicts the specific diffusion path of the slurry through calculation based on the seepage equation.

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