A method and related device for inspecting the stability of a slope of an open-pit mine

Abstract

This invention discloses a method for inspecting the stability of open-pit mine slopes, an inspection device for inspecting the stability of open-pit mine slopes, an inspection equipment, and a computer-readable storage medium. When the inspection equipment arrives at the target monitoring point, the method first confirms the monitoring point through identity recognition and loads the historical measurement data of the monitoring point from the local cache. Then, displacement data, tilt data, location data, and image data are synchronously collected based on a unified timestamp to form raw data records. Next, the raw data records are preprocessed and compared with historical measurement data to calculate the deformation rate and change trend. Finally, the risk level is determined by matching the deformation rate and change trend with a preset graded early warning threshold, and the corresponding graded early warning and data upload operations are executed accordingly. This realizes real-time on-site monitoring and intelligent early warning of slope stability based on mobile inspection equipment.

Description

Technical Field

[0001] This invention belongs to the field of mine safety monitoring technology, and more specifically, relates to a method for inspecting the stability of open-pit mine slopes, a device for inspecting the stability of open-pit mine slopes, inspection equipment, and a computer-readable storage medium. Background Technology

[0002] In open-pit mining, slope stability is a key factor affecting safe production in the mining area. Slope landslides not only cause significant economic losses but also threaten the lives of workers. Therefore, continuous and effective stability monitoring of slopes is of great importance.

[0003] In related technologies, open-pit mine slope monitoring mainly adopts fixed monitoring stations, deploying sensors such as displacement gauges and inclinometers at key locations on the slope. Data is transmitted to a remote monitoring center for centralized analysis and processing via wired or wireless networks. However, existing technologies have the following shortcomings: Firstly, the deployment of fixed monitoring stations is limited by terrain conditions, making it difficult to achieve comprehensive coverage of the entire slope. Furthermore, equipment installation and maintenance costs are high. When mining operations cause changes in slope morphology, existing monitoring points may become ineffective and require relocation, resulting in poor flexibility. Secondly, existing monitoring systems typically rely on remote servers for data analysis and early warning assessment. When network signals in the mining area are unstable or communication is interrupted, timely risk assessment and early warning dissemination cannot be completed, creating monitoring blind spots and delayed early warnings, failing to meet the actual needs of rapid response to slope disasters.

[0004] Therefore, there is an urgent need for a slope stability inspection method that combines flexible deployment capabilities with real-time on-site analysis capabilities to improve monitoring coverage and early warning timeliness, and ensure safe production in open-pit mines. Summary of the Invention

[0005] The purpose of this application is to provide a method for inspecting the stability of open-pit mine slopes, an inspection device for inspecting the stability of open-pit mine slopes, inspection equipment, and a computer-readable storage medium, so as to improve the monitoring coverage and early warning timeliness and ensure the safe production of open-pit mines.

[0006] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a method for inspecting the stability of open-pit mine slopes, comprising: S1, in response to arriving at the target monitoring point, identify the monitoring point's identity and load the target monitoring point's historical measurement data from the local cache; S2, Based on a unified timestamp, synchronously collect displacement data, tilt data, position data and image data of the target monitoring point to generate raw data records; S3, preprocess the original data records, and compare and analyze the preprocessed current data with the historical measurement data to calculate the deformation rate and change trend; S4. Based on the deformation rate and change trend, a preset graded early warning threshold is matched to determine the risk level, and graded early warning and data upload are performed according to the risk level.

[0007] Optionally, S2 includes: The hardware interrupt mechanism is used to send acquisition commands to the displacement sensor, tilt sensor, positioning module and vision module simultaneously in the same processing cycle, lock the current time as a unified timestamp, and bind and encapsulate the acquired sensor data with the unified timestamp to form the original data record.

[0008] Optionally, the preprocessing of the original data records in step S3 includes: Verify the completeness and numerical reasonableness of each field in the original data record; The system calculates the deviation between the collected location data and the pre-stored standard coordinates. If the deviation is less than a preset positioning accuracy threshold, the collected location data is replaced with the pre-stored standard coordinates to eliminate coordinate drift error.

[0009] Optionally, the calculation of deformation rate and change trend in S3 includes: Calculate the difference between the current displacement value and the most recent historical displacement value, and divide it by the time interval between the two acquisitions to obtain the displacement deformation rate; Calculate the difference between the current tilt angle value and the most recent historical tilt angle value, and divide it by the time interval between the two acquisitions to obtain the tilt angle change rate; Based on the displacement value sequence in historical measurement data, the slope of the displacement change trend is calculated using a linear fitting method; The displacement deformation rate and the tilt angle change rate are taken as the deformation rate, and the slope of the displacement change trend is taken as the change trend.

[0010] Optionally, the specific steps for determining the risk level in S4 include: When both the displacement deformation rate and the tilt angle change rate are less than the first-level threshold, the risk level is determined to be low. When the displacement deformation rate or the tilt angle change rate is between the first-level threshold and the second-level threshold, the risk level is determined to be medium. When the displacement deformation rate or the tilt angle change rate is greater than the secondary threshold, or when the trend slope shows accelerated deformation characteristics, the risk level is determined to be high.

[0011] Optionally, after S4, the following may also be included: Multiple monitoring points were assigned to corresponding slope analysis sections based on their geographical coordinates. Analyze the deformation coordination between adjacent monitoring points within the same slope analysis section. If the displacement change direction of adjacent monitoring points is consistent and the difference in change rate is less than a preset range, it is determined that the slope analysis section has an overall sliding trend, and the overall risk of the slope analysis section is determined to be in a warning state.

[0012] Optionally, the method may further include the following before S1: Obtain the historical risk level labels for each monitoring point; Monitoring points with high historical risk levels are marked as priority inspection points, and monitoring points with medium or low historical risk levels are marked as regular inspection points. Based on risk level priority and geographical proximity, an inspection route sequence including the order of monitoring point visits is generated.

[0013] This application also provides an open-pit mine slope stability inspection device, comprising: The historical data loading module is used to identify the identity of the monitoring point and load the historical measurement data of the target monitoring point from the local cache in response to the arrival of the target monitoring point; The raw data acquisition module is used to synchronously acquire displacement data, tilt data, position data and image data of the target monitoring point based on a unified timestamp, and generate raw data records. The rate of change calculation module is used to preprocess the original data records, compare and analyze the preprocessed current data with the historical measurement data, and calculate the deformation rate and change trend. The risk assessment module is used to determine the risk level by matching a preset graded early warning threshold with the deformation rate and change trend, and to perform graded early warning and data upload according to the risk level.

[0014] This application also provides an inspection device, including: Memory, used to store computer programs; A processor is used to execute the computer program to implement the steps of the open-pit mine slope stability inspection method as described above.

[0015] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the open-pit mine slope stability inspection method as described above.

[0016] The method for inspecting the stability of an open-pit mine slope provided in this application includes: S1, in response to arrival at a target monitoring point, identifying the monitoring point's identity and loading historical measurement data of the target monitoring point from a local cache; S2, synchronously collecting displacement data, tilt data, location data, and image data of the target monitoring point based on a unified timestamp, and generating raw data records; S3, preprocessing the raw data records, comparing and analyzing the preprocessed current data with the historical measurement data, and calculating the deformation rate and trend of change; S4, matching a preset graded early warning threshold to determine the risk level based on the deformation rate and trend of change, and executing graded early warning and data uploading according to the risk level.

[0017] It has the following beneficial effects: Upon arrival at the monitoring point, the mobile inspection equipment automatically identifies its location and loads historical data from the local cache, eliminating reliance on real-time network connections and ensuring normal monitoring operations even under poor communication conditions in the mining area. By synchronously collecting multi-source data such as displacement, tilt angle, location, and images using a unified timestamp, strict consistency of data from various sensors across time is guaranteed, avoiding analytical errors caused by asynchronous data. Real-time risk assessment capabilities at the edge are achieved through on-site data preprocessing, deformation rate calculation, and trend analysis. A tiered early warning mechanism differentiates early warning responses and data upload strategies based on risk levels, ensuring rapid response to high-risk situations while avoiding excessive consumption of communication resources by low-risk data, thus comprehensively improving the flexibility, real-time performance, and reliability of open-pit mine slope stability monitoring. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0019] Figure 1 A flowchart of an open-pit mine slope stability inspection method provided in this application embodiment; Figure 2 This is a schematic diagram of the structure of an open-pit mine slope stability inspection device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the inspection equipment provided in the embodiments of this application. Detailed Implementation

[0020] The purpose of this application is to provide a method for inspecting the stability of open-pit mine slopes, an inspection device for inspecting the stability of open-pit mine slopes, inspection equipment, and a computer-readable storage medium, so as to improve the monitoring coverage and early warning timeliness and ensure the safe production of open-pit mines.

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0022] The following embodiment illustrates a method for inspecting the stability of open-pit mine slopes provided in this application.

[0023] This embodiment provides a method for inspecting the stability of open-pit mine slopes, applied to a mobile inspection device equipped with multi-source sensors. This inspection device can be an intelligent inspection robot or a portable inspection terminal held by a person. This embodiment uses a large open-pit coal mine as an application scenario. The slope height in this mining area is over 200 meters, the slope angle is approximately 35 degrees, and a total of 48 monitoring points are set along the slope perimeter, distributed in key geological structural areas around the mining area.

[0024] Please refer to Figure 1 , Figure 1 This is a flowchart of a method for inspecting the stability of an open-pit mine slope, provided as an embodiment of this application.

[0025] In this embodiment, the method may include: S1, in response to arrival at the target monitoring point, identifies the monitoring point's identity and loads the target monitoring point's historical measurement data from the local cache; When the inspection equipment arrives at the target monitoring point according to the planned path, the system responds to the arrival event by performing monitoring point identification. In this embodiment, each monitoring point is equipped with a unique identifier, which can be achieved through methods such as QR code identification signs, RFID electronic tags, or geofence matching based on high-precision positioning. The inspection equipment obtains the monitoring point number by scanning the QR code set at the monitoring point or reading the RFID tag. For example, "MP-A12" represents monitoring point number 12 in area A.

[0026] After identifying the monitoring point, the system loads the historical measurement data of that target monitoring point from its local cache. The local cache pre-stores basic information and historical data for each monitoring point, including its standard coordinates, the slope section it belongs to, historical displacement measurement sequences, historical dip angle measurement sequences, the last inspection time, and cumulative deformation. In this embodiment, the system loads the historical measurement data from the last 30 inspections of the MP-A12 monitoring point for subsequent comparative analysis and trend calculation. Using a local caching mechanism instead of real-time data retrieval from the cloud effectively addresses the unstable network signal in open-pit mines, ensuring the continuity of inspection operations.

[0027] Furthermore, before executing the inspection task, the system first performs intelligent planning of the inspection path. Specifically, the system retrieves the historical risk level labels of each monitoring point from the background database or local storage. These labels are generated based on deformation data and early warning records kept during past inspections of each monitoring point. The system marks monitoring points with high historical risk levels as priority inspection points and those with medium or low historical risk levels as regular inspection points. In this embodiment, 6 out of 48 monitoring points are marked as priority inspection points, and the remaining 42 are regular inspection points.

[0028] Furthermore, based on risk level priority and geographical proximity, the system generates an inspection path sequence that includes the access order of monitoring points. The path planning algorithm prioritizes high-risk monitoring points at the beginning of the inspection sequence, ensuring that monitoring of high-risk areas is completed first when the inspection equipment has sufficient power and environmental conditions are favorable. Simultaneously, the algorithm considers the geographical distance between monitoring points and uses the shortest path principle to sort monitoring points of the same risk level, reducing the travel distance and energy consumption of the inspection equipment. In this embodiment, the generated inspection path sequence divides the six high-risk points into two groups of three, with each group arranged according to geographical proximity, and these are scheduled for execution at the beginning of the morning and afternoon inspection periods, respectively.

[0029] S2, based on a unified timestamp, synchronously collects displacement data, tilt data, location data and image data of the target monitoring point, and generates raw data records; Data acquisition is a core step in slope stability inspection, and the synchronization of data directly affects the accuracy of subsequent analysis. This step involves synchronously acquiring displacement, tilt, location, and image data of the target monitoring points based on a unified timestamp, generating raw data records.

[0030] Furthermore, the system utilizes a hardware interrupt mechanism to simultaneously send acquisition commands to the displacement sensor, tilt sensor, positioning module, and vision module within the same processing cycle. When the system main controller issues an acquisition trigger signal, the hardware interrupt controller simultaneously distributes this signal to the data acquisition interfaces of each sensor module, ensuring that each sensor starts the data acquisition process simultaneously within a microsecond-level time window. The system locks the current moment of issuing the acquisition command as a unified timestamp, which is recorded using the UTC standard time format and is accurate to the millisecond level.

[0031] In this embodiment, the sensor modules mounted on the inspection equipment include: a laser displacement sensor for measuring the displacement of the monitoring point marker relative to the reference point, with a measurement accuracy of ±0.1 mm, capable of measuring the displacement components in the X direction (horizontal direction) and Y direction (vertical direction); a dual-axis tilt sensor for measuring the change in the tilt angle of the slope surface, with a measurement accuracy of ±0.01 degrees, capable of outputting the X-axis tilt angle and Y-axis tilt angle respectively; a Beidou / GPS dual-mode positioning module for recording the coordinates of the measurement location, with a positioning accuracy of centimeter level after differential correction, outputting three-dimensional coordinates including longitude, latitude, and elevation; and a high-definition camera module for acquiring image data of the monitoring point and surrounding area, used to record intuitive features such as cracks, collapses, and seepage on the slope surface.

[0032] The system binds and encapsulates the collected sensor data with a unified timestamp to form raw data records. The raw data record structure includes: a timestamp field, a monitoring point number field, a displacement measurement value field (including X-axis and Y-axis displacement values), a tilt angle measurement value field (including X-axis and Y-axis tilt angle values), a location coordinate field (including longitude, latitude, and elevation), an image data reference field, and a data acquisition status identifier field. By binding with a unified timestamp, strict temporal consistency is ensured among all data items in the same raw data record, avoiding data misalignment issues caused by differences in sensor response times.

[0033] S3, preprocess the original data records, and compare and analyze the preprocessed current data with historical measurement data to calculate the deformation rate and trend; After data collection is completed, the system preprocesses the raw data records to ensure the reliability and accuracy of the data.

[0034] Furthermore, preprocessing first includes verifying the completeness and numerical reasonableness of each field in the original data records. The system checks for empty or missing values ​​in each required field; for example, timestamp, displacement, and tilt angle fields are not allowed to be empty. Simultaneously, the system checks whether each numerical field is within a reasonable range; for example, displacement values ​​should be within the sensor's range, tilt angle values ​​should be within the physically possible range, and latitude and longitude coordinates should be within the geographical range of the mining area. If missing data or abnormal values ​​are detected, the system marks the field as invalid and performs corresponding processing or triggers re-acquisition in subsequent analysis.

[0035] Furthermore, preprocessing includes calculating the deviation between the acquired location data and pre-stored standard coordinates. Pre-stored standard coordinates are fixed coordinate values ​​calibrated and stored using high-precision measuring equipment when the monitoring point is initially established. The system calculates the Euclidean distance deviation between the acquired location data and the pre-stored standard coordinates. If the deviation is less than a preset positioning accuracy threshold, it indicates that the inspection equipment is indeed located at the target monitoring point, and the positioning deviation is within the normal range of equipment measurement errors. In this case, the acquired location data is replaced with the pre-stored standard coordinates to eliminate coordinate drift errors and ensure that subsequent data analysis is based on a unified spatial reference. If the deviation is greater than the preset positioning accuracy threshold, the system issues a location anomaly warning, prompting the operator to confirm whether the correct monitoring point location has been reached.

[0036] After preprocessing, the system compares and analyzes the preprocessed current data with the historical measurement data loaded in step S1 to calculate the deformation rate and trend.

[0037] Furthermore, the calculation of deformation rate includes two indicators: displacement deformation rate and tilt angle change rate. The displacement deformation rate is calculated as follows: extract the current displacement value and the most recent historical displacement value, calculate the difference between the two, and divide it by the time interval between the two acquisitions to obtain the displacement deformation rate, in millimeters per day. In this embodiment, if the current X-direction displacement value is 15.2 mm, the most recent historical X-direction displacement value is 12.8 mm, and the time interval between the two acquisitions is 7 days, then the X-direction displacement deformation rate is (15.2 - 12.8) / 7 = 0.34 mm / day. The tilt angle change rate is calculated similarly: calculate the difference between the current tilt angle value and the most recent historical tilt angle value, and divide it by the time interval between the two acquisitions to obtain the tilt angle change rate, in degrees per day.

[0038] Furthermore, the trend of change is calculated using a linear fitting method. Based on the displacement value sequence from historical measurement data, the system uses the acquisition time as the independent variable and the displacement value as the dependent variable, and performs linear fitting using the least squares method to calculate the slope of the displacement trend. The trend slope reflects the long-term trend characteristics of the monitoring point's displacement over time. If the trend slope is positive and its absolute value is large, it indicates that the monitoring point is in a state of continuous deformation; if the trend slope is close to zero, it indicates that the monitoring point is relatively stable; if the trend slope increases from small to large, it indicates that the deformation is accelerating and requires close monitoring. In this embodiment, the system calculates the trend slope based on the most recent 30 measurement data and compares the calculation result with the trend slope of the previous period to determine whether the deformation exhibits accelerating characteristics.

[0039] The system outputs the displacement deformation rate and tilt angle change rate as deformation rate, and the slope of the displacement change trend as change trend output, for subsequent risk level determination.

[0040] S4, based on the deformation rate and change trend, matches the preset graded early warning threshold to determine the risk level, and executes graded early warning and data upload according to the risk level.

[0041] The system determines the current risk level of the monitoring point by matching the deformation rate and change trend calculated in step S3 with the preset graded early warning threshold.

[0042] Furthermore, in this embodiment, the preset graded early warning thresholds include two levels: a primary threshold and a secondary threshold. The primary threshold is set as follows: displacement deformation rate of 0.5 mm / day and tilt angle change rate of 0.02 degrees / day; the secondary threshold is set as follows: displacement deformation rate of 2.0 mm / day and tilt angle change rate of 0.1 degrees / day. The specific rules for determining the risk level are as follows: When both the rate of displacement deformation and the rate of change of tilt angle are less than the first-level threshold, the risk level is determined to be low. A low risk level indicates that the monitoring point is in a normal and stable state, and the slope deformation is within a safe range.

[0043] When the rate of displacement deformation or the rate of change of tilt angle is between the first-level threshold and the second-level threshold, the risk level is determined to be medium. A medium risk level indicates that the monitoring point has experienced some degree of deformation, requiring increased monitoring frequency, but not yet reaching the point where immediate engineering measures are needed.

[0044] When the rate of displacement deformation or the rate of change of tilt angle exceeds the secondary threshold, the risk level is determined to be high. Furthermore, even if the deformation rate does not exceed the secondary threshold, if the trend slope shows accelerated deformation characteristics (defined in this embodiment as the current trend slope being greater than 1.5 times the trend slope of the previous period), the risk level is also determined to be high. A high risk level indicates a significant landslide risk at the monitoring point, requiring immediate activation of the emergency response procedure.

[0045] Based on the determined risk level, the system executes corresponding tiered early warning and data upload strategies. For low-risk levels, the system only records measurement data locally and uploads it to the cloud server in batches after the inspection task is completed. For medium-risk levels, the system issues an audible and visual alert locally to remind inspection personnel to pay attention and uploads the data of the monitoring point to the cloud in real time to notify the back-end monitoring personnel. For high-risk levels, the system immediately triggers a local audible and visual alarm, and simultaneously uploads the data to the cloud server and the mine dispatch center in real time via 4G / 5G network, automatically sends alarm information to relevant personnel via SMS or APP push, and displays suggested evacuation routes on the inspection terminal screen.

[0046] After completing the risk assessment of a single monitoring point, the system further conducts an overall analysis of the slope section to identify potential large-scale landslide risks.

[0047] Specifically, the system assigns multiple monitoring points to corresponding slope analysis sections based on their geographic coordinates. In this embodiment, the 48 monitoring points are divided into 8 slope analysis sections according to their geographical location and geological structure characteristics. Each section contains 5 to 8 adjacent monitoring points. The section division information is pre-stored in the system configuration file, including the section number, geographic range, and list of monitoring points belonging to each section.

[0048] The system analyzes the deformation coordination between adjacent monitoring points within the same slope analysis section. The specific method for deformation coordination analysis is as follows: extract the displacement change direction (determined by the sign of the displacement components) and change rate values ​​of each monitoring point within the same section, and compare the data of adjacent monitoring points pairwise. If the displacement change directions of adjacent monitoring points are consistent (both moving in the same direction) and the difference in change rate is less than a preset range, then it is determined that there are coordinated deformation characteristics between these two monitoring points. If more than half of the adjacent monitoring point pairs within the same slope analysis section exhibit coordinated deformation characteristics, the system determines that the slope analysis section has an overall sliding trend, indicating that the section may experience an overall landslide rather than local deformation, and classifies the overall risk of the slope analysis section as a warning state.

[0049] When a slope analysis section is determined to be in an early warning state, the system uploads the overall analysis results of the section along with the detailed data of each monitoring point to the cloud server, and sends a section-level early warning notice to the mine safety management department, suggesting that a special geological survey and engineering assessment be carried out on the section.

[0050] In summary, this embodiment presents a full-chain intelligent inspection system, encompassing inspection path planning, monitoring point identification, simultaneous multi-source data acquisition, data preprocessing and analysis, risk level determination, and overall slope section analysis. This method fully leverages the flexibility of mobile inspection equipment and the data acquisition capabilities of multi-source sensors, combined with edge computing to achieve real-time on-site analysis and early warning. This effectively improves the efficiency and reliability of open-pit mine slope stability monitoring, providing strong technical support for safe production in mining areas.

[0051] As can be seen, this embodiment automatically identifies the mobile inspection equipment upon arrival at the monitoring point and loads historical data from the local cache, eliminating the reliance on real-time network connections and ensuring normal monitoring operations even when communication conditions in the mining area are poor. By synchronously collecting multi-source data such as displacement, tilt angle, location, and images using a unified timestamp, strict consistency of various sensor data across time is guaranteed, avoiding analysis errors caused by asynchronous data. Real-time risk assessment capabilities at the edge are achieved by completing data preprocessing, deformation rate calculation, and trend analysis on-site. A tiered early warning mechanism differentiates early warning responses and data upload strategies based on risk levels, ensuring rapid response to high-risk situations while avoiding excessive consumption of communication resources by low-risk data, thus comprehensively improving the flexibility, real-time performance, and reliability of open-pit mine slope stability monitoring.

[0052] The following describes an open-pit mine slope stability inspection device provided in the embodiments of this application. The open-pit mine slope stability inspection device and the open-pit mine slope stability inspection method described below can be referred to each other.

[0053] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the structure of an open-pit mine slope stability inspection device provided in an embodiment of this application.

[0054] In this embodiment, the device may include: The historical data loading module 100 is used to identify the identity of the monitoring point and load the historical measurement data of the target monitoring point from the local cache in response to the arrival of the target monitoring point; The raw data acquisition module 200 is used to synchronously acquire displacement data, tilt data, position data and image data of the target monitoring point based on a unified timestamp, and generate raw data records; The rate of change calculation module 300 is used to preprocess the original data records, compare and analyze the preprocessed current data with historical measurement data, and calculate the deformation rate and change trend. The risk assessment module 400 is used to determine the risk level by matching the preset graded early warning thresholds according to the deformation rate and change trend, and to perform graded early warning and data upload according to the risk level.

[0055] This application also provides inspection equipment; please refer to it. Figure 3 , Figure 3 This is a schematic diagram of the inspection equipment provided in the embodiments of this application. The inspection equipment may include: Memory, used to store computer programs; A processor, used to execute computer programs, can implement the steps of any of the above-described open-pit mine slope stability inspection methods.

[0056] like Figure 3 The diagram shows the structural composition of an inspection device, which may include a processor 10, a memory 11, a communication interface 12, and a communication bus 13. The processor 10, memory 11, and communication interface 12 communicate with each other via the communication bus 13.

[0057] In this embodiment, the processor 10 may be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic devices.

[0058] The processor 10 can call the program stored in the memory 11. Specifically, the processor 10 can execute the operations in the embodiment of the abnormal IP identification method.

[0059] The memory 11 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment, the memory 11 stores at least a program for implementing the following functions: S1, in response to arrival at the target monitoring point, identifies the monitoring point's identity and loads the target monitoring point's historical measurement data from the local cache; S2, based on a unified timestamp, synchronously collects displacement data, tilt data, location data and image data of the target monitoring point, and generates raw data records; S3, preprocess the original data records, and compare and analyze the preprocessed current data with historical measurement data to calculate the deformation rate and trend; S4, based on the deformation rate and change trend, matches the preset graded early warning threshold to determine the risk level, and executes graded early warning and data upload according to the risk level.

[0060] In one possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created during use.

[0061] In addition, memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0062] Communication interface 12 can be an interface for the communication module, used to connect with other devices or systems.

[0063] Of course, it should be noted that, Figure 3 The structure shown does not constitute a limitation on the inspection equipment in the embodiments of this application. In practical applications, the inspection equipment may include more than Figure 3 More or fewer components as shown, or combinations of certain components.

[0064] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can implement the steps of any of the above-described open-pit mine slope stability inspection methods.

[0065] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0066] For a description of the computer-readable storage medium provided in this application, please refer to the above method embodiments; further details will not be repeated here.

[0067] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0068] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0069] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0070] The foregoing has provided a detailed description of the method, device, equipment, and computer-readable storage medium for inspecting the stability of open-pit mine slopes provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.

Claims

1. A method for inspecting the stability of open-pit mine slopes, characterized in that, include: S1, in response to arriving at the target monitoring point, identify the monitoring point's identity and load the target monitoring point's historical measurement data from the local cache; S2, Based on a unified timestamp, synchronously collect displacement data, tilt data, position data and image data of the target monitoring point to generate raw data records; S3, preprocess the original data records, and compare and analyze the preprocessed current data with the historical measurement data to calculate the deformation rate and change trend; S4. Based on the deformation rate and change trend, a preset graded early warning threshold is matched to determine the risk level, and graded early warning and data upload are performed according to the risk level.

2. The method for inspecting the stability of open-pit mine slopes according to claim 1, characterized in that, S2 includes: The hardware interrupt mechanism is used to send acquisition commands to the displacement sensor, tilt sensor, positioning module and vision module simultaneously in the same processing cycle, lock the current time as a unified timestamp, and bind and encapsulate the acquired sensor data with the unified timestamp to form the original data record.

3. The method for inspecting the stability of open-pit mine slopes according to claim 2, characterized in that, The preprocessing of the original data records in step S3 includes: Verify the completeness and numerical reasonableness of each field in the original data record; The system calculates the deviation between the collected location data and the pre-stored standard coordinates. If the deviation is less than a preset positioning accuracy threshold, the collected location data is replaced with the pre-stored standard coordinates to eliminate coordinate drift error.

4. The method for inspecting the stability of open-pit mine slopes according to claim 3, characterized in that, The calculation of deformation rate and change trend in S3 includes: Calculate the difference between the current displacement value and the most recent historical displacement value, and divide it by the time interval between the two acquisitions to obtain the displacement deformation rate; Calculate the difference between the current tilt angle value and the most recent historical tilt angle value, and divide it by the time interval between the two acquisitions to obtain the tilt angle change rate; Based on the displacement value sequence in historical measurement data, the slope of the displacement change trend is calculated using a linear fitting method; The displacement deformation rate and the tilt angle change rate are taken as the deformation rate, and the slope of the displacement change trend is taken as the change trend.

5. The method for inspecting the stability of open-pit mine slopes according to claim 4, characterized in that, The specific steps for determining the risk level in S4 include: When both the displacement deformation rate and the tilt angle change rate are less than the first-level threshold, the risk level is determined to be low. When the displacement deformation rate or the tilt angle change rate is between the first-level threshold and the second-level threshold, the risk level is determined to be medium. When the displacement deformation rate or the tilt angle change rate is greater than the secondary threshold, or when the trend slope shows accelerated deformation characteristics, the risk level is determined to be high.

6. The method for inspecting the stability of open-pit mine slopes according to claim 5, characterized in that, Following S4, the following is also included: Multiple monitoring points were assigned to corresponding slope analysis sections based on their geographical coordinates. Analyze the deformation coordination between adjacent monitoring points within the same slope analysis section. If the displacement change direction of adjacent monitoring points is consistent and the difference in change rate is less than a preset range, it is determined that the slope analysis section has an overall sliding trend, and the overall risk of the slope analysis section is determined to be in a warning state.

7. The method for inspecting the stability of open-pit mine slopes according to claim 6, characterized in that, Before S1, it also includes: Obtain the historical risk level labels for each monitoring point; Monitoring points with high historical risk levels are marked as priority inspection points, and monitoring points with medium or low historical risk levels are marked as regular inspection points. Based on risk level priority and geographical proximity, an inspection route sequence including the order of monitoring point visits is generated.

8. A slope stability inspection device for open-pit mines, characterized in that, include: The historical data loading module is used to identify the identity of the monitoring point and load the historical measurement data of the target monitoring point from the local cache in response to the arrival of the target monitoring point; The raw data acquisition module is used to synchronously acquire displacement data, tilt data, position data and image data of the target monitoring point based on a unified timestamp, and generate raw data records. The rate of change calculation module is used to preprocess the original data records, compare and analyze the preprocessed current data with the historical measurement data, and calculate the deformation rate and change trend. The risk assessment module is used to determine the risk level by matching a preset graded early warning threshold with the deformation rate and change trend, and to perform graded early warning and data upload according to the risk level.

9. An inspection device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the open-pit mine slope stability inspection method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the open-pit mine slope stability inspection method as described in any one of claims 1 to 7.

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