Intelligent early warning system and method for landslide risk of open-air waste dump

Abstract

The invention belongs to the technical field of open-air waste dump supervision, and particularly relates to an open-air waste dump landslide risk intelligent early warning system and method, and the system comprises an open-air waste dump monitoring module, a displacement state output module, a landslide hidden danger comprehensive evaluation module, an intelligent early warning module and a remote supervision terminal. According to the invention, landslide out-of-control points are accurately identified through the displacement state output module, corresponding signals are generated, landslide hidden danger multi-dimensional analysis is carried out through the landslide hidden danger comprehensive evaluation module when landslide controllable signals are generated, and targeted early warning information is generated when landslide alarm signals or landslide high hidden danger signals are generated. The monitoring difficulty of the open-air waste dump is greatly reduced, full-process management and control from risk source data acquisition to terminal efficient monitoring response are formed, scientificity, accuracy and high efficiency of open-air waste dump landslide risk early warning are realized, and the operation safety of the waste dump is effectively guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of open dump site supervision, in particular to an open dump site landslide risk intelligent early warning system and method. BACKGROUND

[0002] As a concentrated area of rock and soil waste in the process of mining, the slope stability of open dump site is influenced by geological conditions, loading and environmental factors. Landslide disasters occur frequently and cause great harm. Not only will it cause equipment damage and production interruption, but also may threaten the safety of personnel's life. Therefore, it is very important to build a precise and efficient landslide risk early warning system for mine safety production. At present, various dump site landslide monitoring and early warning technologies have been developed in the industry in an attempt to identify risks in advance through technical means.

[0003] For example, a dump site landslide early warning method, system, terminal and storage medium are disclosed in Chinese patent CN115342760A. The technical solution of this invention is to lay waveguide pipes in the dump site slope, collect the bending guided wave signals between the waveguide pipes and the slope, and then draw event curves, ringing curves and energy rate curves based on the signal data. The landslide risk is determined by curve feature detection and early warning value calculation.

[0004] However, although this solution realizes the automation of landslide analysis, it has significant defects in monitoring dimension and evaluation depth. The technical core still relies on a single type of bending guided wave signal for risk judgment, without integrating key influencing factors such as dump site displacement parameters, geological parameters and environmental parameters, resulting in one-sided monitoring data dimensions and difficulty in fully reflecting the stability state of the dump site. Moreover, it is prone to false positives or false negatives due to one-sided data, lacks a closed-loop response mechanism from risk identification to remote supervision, and is difficult to realize early detection and efficient control of potential hazards, which is not conducive to ensuring the safe operation of open dump sites. SUMMARY

[0005] The purpose of the present application is to provide an open dump site landslide risk intelligent early warning system and method to solve the technical defects proposed in the background art.

[0006] To achieve the above purpose, the present application provides the following technical solution: an open dump site landslide risk intelligent early warning system, comprising an open dump site monitoring module, a displacement state output module, a landslide hazard comprehensive evaluation module, an intelligent early warning module and a remote supervision terminal. The open dump site monitoring module monitors the open dump site and sends the collected monitoring data to the displacement state output module and the landslide hazard comprehensive evaluation module. The displacement state output module analyzes the displacement state of the open dump site, generates a landslide alarm signal or a landslide controllable signal through analysis, and sends the displacement state analysis and judgment results to the landslide hazard comprehensive evaluation module and the intelligent early warning module. The landslide hidden danger comprehensive evaluation module, upon receiving the landslide controllable signal, comprehensively evaluates and analyzes the degree of landslide hidden danger of the open dump site, generates a landslide high hidden danger signal or a landslide low hidden danger signal through analysis, and sends the landslide hidden danger comprehensive evaluation result to the intelligent early warning module; the intelligent early warning module generates corresponding early warning information upon receiving the landslide warning signal or the landslide high hidden danger signal, and pushes the generated early warning information to the remote monitoring end in real time.

[0007] Further, the open dump site monitoring module comprehensively monitors by arranging multiple types of sensors in different areas of the dump site, including displacement sensors, geological sensors and environmental sensors; and fuses the collected multi-source heterogeneous raw data to form a raw data set and output it in real time.

[0008] Further, the specific analysis process of the displacement state output module is as follows: By analyzing to determine whether there is a landslide out-of-control point in the open dump site; if there is a landslide out-of-control point in the open dump site, a landslide warning signal is generated; if there is no landslide out-of-control point in the open dump site, a landslide controllable signal is generated.

[0009] Further, the analysis and judgment process of the landslide out-of-control point is as follows: The real-time displacement amount and displacement rate of a plurality of positions in the open dump site are obtained, and the real-time displacement amount and displacement rate are compared with the preset real-time displacement amount threshold and the preset displacement rate threshold respectively; if the real-time displacement amount or the displacement rate exceeds the corresponding preset threshold, the corresponding position is marked as a landslide out-of-control point; If the real-time displacement amount and the displacement rate do not exceed the corresponding preset threshold, the displacement state value is calculated by weighted summation of the real-time displacement amount and the displacement rate, and the displacement state value is compared with the preset displacement state threshold; if the displacement state value exceeds the preset displacement state threshold, the corresponding position is marked as a landslide out-of-control point.

[0010] Further, the specific analysis process of the landslide hidden danger comprehensive evaluation module includes: The displacement state values of a plurality of positions in the open dump site are obtained, the displacement state values of all positions are averaged to obtain a displacement characteristic value, and the displacement state value with the largest value is marked as a displacement risk amplitude value; and the environmental inducement coefficient is called, the environmental inducement coefficient, the displacement state value and the displacement risk amplitude value are numerically calculated to obtain a landslide hidden danger characteristic value, the landslide hidden danger characteristic value is compared with the preset landslide hidden danger characteristic threshold, if the landslide hidden danger characteristic value exceeds the preset landslide hidden danger characteristic threshold, a landslide high hidden danger signal is generated; if the landslide hidden danger characteristic value does not exceed the preset landslide hidden danger characteristic threshold, a landslide low hidden danger signal is generated.

[0011] Further, the landslide hazard comprehensive evaluation module is in communication connection with an environmental inducement risk analysis module, the environmental inducement risk analysis module analyzes the environmental conditions of the open dump, judges the influence degree on the landslide risk of the open dump through the analysis, obtains an environmental inducement coefficient according to this, and sends the environmental inducement coefficient to the landslide hazard comprehensive evaluation module.

[0012] Further, the specific analysis process of the environmental inducement risk analysis module comprises: Based on the geographical and climatic region where the open dump is located, the environmental sensitive factor of the open dump is determined, the average water content of the soil in the open dump is obtained and is marked as the dump water content, the rainfall and the average wind speed of the environment where the open dump is located within a unit time are collected and are marked as the dump rainfall value and the dump wind measurement value respectively, and the environmental profile value is obtained through numerical calculation of the environmental sensitive factor, the dump water content, the dump rainfall value and the dump wind measurement value; A plurality of groups of preset environmental profile value ranges are set in advance, and each group of preset environmental profile value ranges corresponds to a group of preset inducement coefficients, the environmental profile value is compared with all the preset environmental profile value ranges respectively, the preset environmental profile value range containing the corresponding environmental profile value is marked as the optimal range, and the preset inducement coefficient corresponding to the optimal range is marked as the environmental inducement coefficient.

[0013] In the present application, an open dump landslide risk intelligent early warning method is also provided, comprising the following steps: Step one, monitoring the open dump and outputting monitoring data; Step two, analyzing the displacement state of the open dump; Step three, comprehensively evaluating and analyzing the landslide hazard degree of the open dump; Step four, when receiving the landslide alarm signal or the landslide high hazard signal, generating corresponding early warning information and pushing it to the remote supervision end in real time.

[0014] Compared with the prior art, the present application has the following advantages: In the present application, the displacement state output module accurately identifies the landslide out-of-control point, the landslide hazard multi-dimensional analysis is performed when the landslide controllable signal is generated, the targeted early warning information is generated when the landslide alarm signal or the landslide high hazard signal is generated, the whole process control from the risk source data collection to the terminal efficient supervision response is formed, the scientificity, accuracy and efficiency of the open dump landslide risk early warning are realized, the operation safety of the open dump is effectively guaranteed, and the supervision difficulty is greatly reduced.

[0015] 2. In this invention, the environmental conditions of the open spoil heap are analyzed through the environmental causal risk analysis module. The analysis is used to determine the degree of impact on the landslide risk of the open spoil heap, fully consider the impact of different geographical and climatic backgrounds on the stability of the spoil heap, and quantify the degree of influence of real-time environmental factors on landslide risk. This avoids the analytical bias caused by ignoring environmental variables in traditional assessments, and provides key environmental dimension references for the comprehensive assessment module of landslide hazards, thereby improving the comprehensiveness and scientific nature of the assessment. Attached Figure Description

[0016] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is an overall system block diagram of the present invention; Figure 2 This is a flowchart of the method in this invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1: As Figure 1 As shown, the present invention proposes an intelligent early warning system for landslide risks in open spoil heaps, which includes an open spoil heap monitoring module, a displacement status output module, a landslide hazard comprehensive assessment module, an intelligent early warning module, and a remote monitoring terminal; The open spoil heap monitoring module monitors the open spoil heap and sends the collected monitoring data to the displacement status output module and the landslide hazard comprehensive assessment module. This effectively avoids the limitations of monitoring with a single sensor or a single data type, and can cover key information such as spoil heap displacement, geological parameters, and environmental parameters. It provides complete and reliable basic data support for subsequent displacement status analysis and landslide hazard comprehensive assessment, ensuring the accuracy and effectiveness of subsequent analysis steps. Specifically, the open spoil heap monitoring module conducts comprehensive monitoring by deploying multiple types of sensors in different areas of the spoil heap, such as displacement sensors (for collecting displacement data), geological sensors (for collecting geological parameters such as soil moisture content), and environmental sensors (for collecting environmental parameters such as rainfall and wind force). It also integrates the collected multi-source heterogeneous raw data to form a raw data set and outputs it in real time.

[0019] The displacement state output module analyzes the displacement state of the open dump, generates a landslide warning signal or a landslide controllable signal through analysis, and sends the displacement state analysis and judgment result to the landslide hidden danger comprehensive evaluation module and the intelligent early warning module, which can accurately identify the risk position of displacement anomaly, generate a landslide warning signal or a landslide controllable signal in time, provide clear and accurate judgment basis for the start of the subsequent landslide hidden danger comprehensive evaluation module and the preliminary response of the intelligent early warning module, and realize effective screening of the landslide immediate risk; the specific analysis process of the displacement state output module is as follows: The real-time displacement amount and displacement rate of a plurality of positions in the open dump are obtained, and the real-time displacement amount and displacement rate are respectively compared with the preset real-time displacement amount threshold and the preset displacement rate threshold. If the real-time displacement amount or the displacement rate exceeds the corresponding preset threshold, the corresponding position is marked as a landslide out-of-control point. If the real-time displacement amount and the displacement rate do not exceed the corresponding preset threshold, the displacement state value is calculated by weighted summation of the real-time displacement amount and the displacement rate, that is, the real-time displacement amount and the displacement rate are respectively assigned corresponding preset weight coefficients, and the real-time displacement amount and the displacement rate are respectively multiplied by the corresponding preset weight coefficients, and the sum of the two product results is marked as the displacement state value. It should be noted that the larger the value of the displacement state value, the higher the displacement risk of the corresponding position, and the greater the probability of landslide; The displacement state value is compared with the preset displacement state threshold. If the displacement state value exceeds the preset displacement state threshold, it indicates that the displacement risk of the corresponding position is high, and the probability of landslide is large, and the corresponding position is marked as a landslide out-of-control point. If there is a landslide out-of-control point in the open dump, it indicates that the current open dump has a high probability of landslide, and a landslide warning signal is generated. If there is no landslide out-of-control point in the open dump, it indicates that the current open dump has a small probability of landslide, and a landslide controllable signal is generated.

[0020] When receiving the landslide controllable signal, the landslide hidden danger comprehensive evaluation module comprehensively evaluates and analyzes the landslide hidden danger degree of the open dump, generates a landslide high hidden danger signal or a landslide low hidden danger signal through analysis, and sends the landslide hidden danger comprehensive evaluation result to the intelligent early warning module. It not only considers the overall displacement risk level of the dump, but also pays attention to the most dangerous local area, and integrates the influence of environmental factors, realizes the multi-dimensional comprehensive evaluation of "overall + local + environment" of the landslide hidden danger, accurately identifies the potential high hidden danger even if there is no immediate landslide out-of-control point in the dump, and makes up for the limitations of relying only on displacement out-of-control point judgment, and excavates potential risks in advance, providing a more in-depth and comprehensive hidden danger basis for intelligent early warning; the specific analysis process of the landslide hidden danger comprehensive evaluation module is as follows: The displacement state values ​​at several locations in the open spoil heap are obtained. The displacement characteristic value Wte is calculated by averaging the displacement state values ​​at all locations. The displacement state value with the largest value is marked as the displacement amplitude value Wxf. The environmental induction coefficient H is also retrieved. The landslide hazard characteristic value BPt is obtained by numerically calculating the environmental induction coefficient H, displacement state value Wte, and displacement risk amplitude value Wxf using the formula BPt=H×(rq×Wte+uy×Wxf), where rq and uy are preset weight values, and rq>uy>0. It should be noted that the larger the value of the landslide hazard characteristic value BPt, the higher the overall landslide hazard of the open spoil heap. The landslide hazard characteristic value is compared with the preset landslide hazard characteristic threshold. If the landslide hazard characteristic value exceeds the preset landslide hazard characteristic threshold, it indicates that the overall landslide hazard of the open spoil heap is relatively high, and a high landslide hazard signal is generated. If the landslide hazard characteristic value does not exceed the preset landslide hazard characteristic threshold, it indicates that the overall landslide hazard of the open spoil heap is relatively low, and a low landslide hazard signal is generated.

[0021] When the intelligent early warning module receives a landslide alarm signal or a high landslide hazard signal, it generates corresponding early warning information and pushes the generated early warning information to the remote monitoring terminal in real time. The remote monitoring terminal displays the received early warning information and issues an alarm when it receives the early warning information to remind the back-end monitoring personnel to take timely and targeted control measures, which helps to ensure the safety of open spoil heaps and significantly reduces the difficulty of their supervision.

[0022] Example 2: Figure 1 As shown, the difference between this embodiment and Embodiment 1 is that the landslide hazard comprehensive assessment module is connected to the environmental causation risk analysis module, the open spoil heap monitoring module sends the monitoring data to the environmental causation risk analysis module, the environmental causation risk analysis module analyzes the environmental conditions of the open spoil heap, and determines the degree of impact on the landslide risk of the open spoil heap through analysis, thereby obtaining the environmental causation coefficient H. Furthermore, the environmental precipitant coefficient H is sent to the landslide hazard comprehensive assessment module, fully considering the impact of different geographical and climatic backgrounds on the stability of the spoil heap. It also quantifies the degree of influence of real-time environmental factors on landslide risk, avoiding analytical biases caused by neglecting environmental variables in traditional assessments. The generated environmental precipitant coefficient objectively reflects the magnitude of the environment's impact on landslide risk, providing a key environmental dimension reference for the landslide hazard comprehensive assessment module. This makes the hazard assessment more closely aligned with the actual environmental conditions of the spoil heap, improving the comprehensiveness and scientific rigor of the assessment. The specific analysis process of the environmental precipitant risk analysis module is as follows: Based on the geographical and climatic zone of the open spoil heap, determine its environmental sensitivity factor γ (e.g., γ=1.0 in rainy and humid areas, γ=0.9 in monsoon climate areas, γ=0.8 in arid and low-rainfall areas, etc.), obtain the average soil moisture content in the open spoil heap and mark it as spoil heap moisture content SL, and collect the rainfall and average wind speed of the environment at the open spoil heap per unit time and mark them as spoil heap rainfall value XQ and spoil heap wind measurement value FX, respectively. The environmental profile value Hwq is obtained by numerically calculating the environmental sensitivity factor γ, the moisture content of the spoil heap SL, the rainfall value of the spoil heap XQ, and the wind measurement value of the spoil heap FX using the formula Hwq=γ×(a×SL+b×XQ+c×FX). Here, a, b, and c are preset weight values ​​that are greater than zero, and a+b+c=1. It should be noted that the larger the environmental profile value Hwq, the worse the environmental conditions of the open spoil heap and the higher the degree of landslide risk. Several preset environmental condition value ranges are set in advance, and each preset environmental condition value range corresponds to a preset trigger coefficient. It should be noted that the preset trigger coefficients are all positive numbers, and the larger the value of the corresponding preset environmental condition value range, the larger the value of the preset trigger coefficient that matches it. The environmental profile value Hwq is compared with all preset environmental profile value ranges. The preset environmental profile value range containing the corresponding environmental profile value Hwq is marked as the optimal range, and the preset inducing coefficient corresponding to the optimal range is marked as the environmental inducing coefficient H.

[0023] Example 3: Figure 2 As shown, the difference between this embodiment and Embodiments 1 and 2 is that the intelligent early warning method for landslide risk in open spoil heaps proposed in this invention includes the following steps: Step 1: Monitor the open spoil heap and output the monitoring data; Step 2: Analyze the displacement status of the open spoil heap; Step 3: Conduct a comprehensive assessment and analysis of the landslide hazard level of the open spoil heap; Step 4: Upon receiving a landslide alarm signal or a high landslide hazard signal, generate corresponding early warning information and push it to the remote monitoring terminal in real time.

[0024] The working principle of the present application is as follows: when in use, the open dump monitoring module collects comprehensive and reliable original data in the dimensions of displacement, geology, environment, etc., the displacement state output module accurately identifies the out-of-control point of landslide and generates the corresponding signal, and the landslide hidden danger comprehensive evaluation module analyzes the landslide hidden danger when receiving the controllable signal of landslide, realizes multi-dimensional hidden danger evaluation, effectively excavates the situation that there is no immediate out-of-control point but there is potential risk, the intelligent early warning module integrates the landslide alarm signal and the high-risk signal of landslide and generates targeted early warning information, so that the supervisor can quickly master the risk state without on-site duty, timely develop control measures, greatly reduce the supervision difficulty of the open dump, form a whole-process control from data collection at the risk source to efficient supervision response at the end, realize the scientificity, accuracy and efficiency of the landslide risk early warning of the open dump, effectively guarantee the operation safety of the dump, and reduce the personnel and property losses caused by landslide accidents.

[0025] The threshold or the preset value, the preset range and the like in the technical scheme of the present application are set for result comparison and analysis, so as to determine whether it is good or bad, and the size of the threshold is determined according to the large model analysis of sample data and the combination of artificial experience, and is recorded and stored, and can be appropriately adjusted through seasonal or rational influence conditions; and the preset weight coefficient and the influence factor are set according to the influence of each parameter on the result, to allocate specific numerical values to finally reflect the influence of the result, and are recorded and stored through the large model analysis of sample data and the combination of artificial experience, and can be appropriately adjusted through seasonal or rational influence conditions.

[0026] The preferred embodiments of the present application disclosed above are only used to help explain the present application, and the preferred embodiments do not describe all the details and do not limit the present application to the specific embodiments. Obviously, many modifications and changes can be made according to the content of the present application. The present application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that the skilled in the art can well understand and utilize the present application. The present application is limited by the claims and the entire scope and equivalents thereof.

Claims

1. An intelligent early warning system for landslide risk of an open-pit dump, characterized in that, The open dump monitoring module monitors the open dump and sends the collected monitoring data to the displacement state output module and the landslide hazard comprehensive evaluation module; the displacement state output module analyzes the displacement state of the open dump, and generates a landslide warning signal or a landslide controllable signal through the analysis; The landslide hazard comprehensive evaluation module receives the landslide controllable signal, comprehensively evaluates and analyzes the landslide hazard degree of the open dump, and generates a landslide high hazard signal or a landslide low hazard signal through the analysis; The intelligent early warning module generates corresponding early warning information when receiving the landslide warning signal or the landslide high hazard signal, and pushes the generated early warning information to the remote supervision terminal in real time. The open dump monitoring module monitors the open dump by arranging multiple types of sensors in different areas of the dump, and fuses the collected multi-source heterogeneous raw data to form a raw data set.

2. The intelligent early warning system for landslide risk of an open pit dump according to claim 1, characterized in that, The specific analysis process of the displacement state output module is as follows:

3. The intelligent early warning system for landslide risk of an open pit dump according to claim 1, characterized in that, Through analysis to determine whether there is a landslide out-of-control point in the open dump; if there is a landslide out-of-control point in the open dump, a landslide warning signal is generated; otherwise, a landslide controllable signal is generated. The analysis and judgment process of the landslide out-of-control point is: the real-time displacement and displacement rate of several positions in the open dump are obtained, if the real-time displacement or displacement rate exceeds the corresponding preset threshold, the corresponding position is marked as a landslide out-of-control point; if the real-time displacement and displacement rate do not exceed the corresponding preset threshold, the displacement state value is calculated by weighted summation of the real-time displacement and displacement rate, if the displacement state value exceeds the preset displacement state threshold, the corresponding position is marked as a landslide out-of-control point.

4. The intelligent early warning system for landslide risk of an open pit dump according to claim 1, characterized in that, The specific analysis process of the landslide hazard comprehensive evaluation module includes:

5. The intelligent early warning system for landslide risk of an open pit dump according to claim 1, characterized in that, Obtain the displacement state values of several positions in the open dump, calculate the displacement characteristic value by averaging all displacement state values, and mark the displacement state value with the largest value as the displacement amplitude value; and call the environmental inducement coefficient, calculate the landslide hazard characteristic value by the environmental inducement coefficient, displacement state value and displacement amplitude value, if the landslide hazard characteristic value exceeds the preset landslide hazard characteristic threshold, a landslide high hazard signal is generated; otherwise, a landslide low hazard signal is generated. The landslide hazard comprehensive evaluation module is communicatively connected to the environmental inducement risk analysis module, the environmental inducement risk analysis module analyzes the environmental conditions of the open dump, and obtains the environmental inducement coefficient accordingly, and sends the environmental inducement coefficient to the landslide hazard comprehensive evaluation module.

6. The intelligent early warning system for landslide risk of an open pit dump according to claim 5, characterized in that, The specific analysis process of the environmental inducement risk analysis module includes:

7. The intelligent early warning system for landslide risk of an open pit dump according to claim 6, characterized in that, The environmental inducement risk analysis module calculates the environmental profile value by the environmental sensitive factor, the water content of the dump, the rainfall value of the dump and the wind measurement value of the dump, and marks the preset environmental profile value range containing the corresponding environmental profile value as the optimal range, and marks the preset inducement coefficient corresponding to the optimal range as the environmental inducement coefficient. The steps include:

8. An intelligent early warning method for landslide risk of an open-pit dump, using an intelligent early warning system for landslide risk of an open-pit dump according to any one of claims 1-7, characterized in that, Step 1, monitoring the open dump and outputting monitoring data; Step 2, analyzing the displacement state of the open dump; ​ Step three, the landslide hazard degree of open dump is comprehensively evaluated and analyzed; Step four, the corresponding early warning information is generated and pushed to the remote supervision end in real time.

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