Rock stability analysis device and method in mining process

Abstract

The invention relates to the technical field of mining safety, and discloses a rock stability analysis device and method in a mining process, and the device comprises a real-time monitoring module which is used for arranging equipment to monitor the stress and displacement state of a rock body; the data acquisition module is used for storing and processing sensor data in real time; the stress-strain analysis module is used for calculating stress and strain to generate a stress-strain relation curve and analyzing elastic modulus and yield strength; the risk assessment module is used for calculating a stress concentration ratio and an instability probability and carrying out risk grade division on the monitoring area; and the threshold value early warning module is used for setting a safety threshold value of the monitoring index and giving an alarm when the safety threshold value is exceeded. According to the device, fine changes of the rock mass in a dynamic stress state can be rapidly captured through the real-time monitoring module, and the device can timely obtain dynamic behavior data of the rock mass through continuous monitoring of strain, pressure and displacement, so that the device can automatically adapt to continuously changing geological conditions in the mining process.

Description

Technical Field

[0001] The present invention relates to the field of mining safety technology, and in particular to a rock stability analysis device and method during mining. Background Art

[0002] In the mining process, as the mining depth and intensity increase, the stability of the rock mass becomes particularly important. Deep rock mass is usually in a complex environment with high ground stress and high pressure water. Under the disturbance of mining activities, the internal stress of the rock mass changes, which can easily cause problems such as crack expansion, increased permeability and stress concentration, and may even lead to accidents such as rock mass instability, water inrush or collapse. Therefore, real-time monitoring and accurate analysis of rock mass stability has become an important technical requirement in mine safety production.

[0003] Current rock mass monitoring technologies usually rely on traditional stress measurement methods, which are performed by installing stress gauges, strain gauges and other equipment on site for fixed-point measurements. These technologies have a certain role in the initial monitoring of shallow rock masses, but in deep mining environments, there are the following problems:

[0004] Traditional rock mass monitoring technology has a low data update frequency, making it difficult to capture the stress changes of the rock mass during dynamic mining in real time. In addition, under complex mining conditions, the stress and displacement of the rock mass may change at any time, and traditional equipment cannot provide high-frequency and continuous data, resulting in an inability to reflect the dynamic response of the rock mass in a timely manner.

[0005] Traditional rock mass monitoring technology is usually based on static analysis, which makes it difficult to effectively carry out stability assessment under dynamic conditions where the stress state of the rock mass is constantly changing. The changes in rock mass structure caused by mining are significantly time-varying, lacking dynamic stress-strain analysis and real-time response capabilities, and it is difficult to quantify the stability change trend of the rock mass at different stages. Summary of the invention

[0006] In order to make up for the above shortcomings, the present invention provides a rock stability analysis device and method during mining, aiming to improve the problem that the existing rock stability analysis device during mining has poor dynamic response capability and is difficult to quantify the stability change trend of the rock mass at different stages.

[0007] In a first aspect, the present invention provides the following technical solution: a rock stability analysis device in a mining process, comprising:

[0008] Real-time monitoring module, used to deploy equipment to monitor the stress and displacement status of the rock mass;

[0009] Data acquisition module, used to store and process sensor data in real time;

[0010] Stress-strain analysis module, used to calculate stress and strain to generate stress-strain relationship curves, and analyze elastic modulus and yield strength;

[0011] Risk assessment module, used to calculate stress concentration and instability probability, and divide the monitoring area into risk levels;

[0012] The threshold warning module sets the safety threshold of the monitoring indicators and issues an alarm when the threshold is exceeded.

[0013] Preferably, the equipment deployed in the real-time monitoring module includes strain gauges, pressure sensors and displacement sensors, all of which are installed in key areas.

[0014] Preferably, the key areas where the displacement sensor is installed include but are not limited to mining faces, tunnel intersections, fault fracture areas, contact surfaces between support structures and rock masses, and rock layer change zones.

[0015] Preferably, the data acquisition module includes:

[0016] A data receiving unit, used for receiving monitoring data from each sensor;

[0017] The data storage unit is used to store data of the data receiving unit.

[0018] Preferably, the stress-strain analysis module includes a stress-strain relationship curve generation unit, an elastic modulus and yield strength analysis unit;

[0019] The stress-strain relationship curve generating unit is used to collect original data, calculate the rock using finite element analysis, and generate a stress-strain relationship curve;

[0020] The elastic modulus and yield strength analysis unit performs data fitting on the stress-strain relationship curve by the least square method to obtain the elastic modulus and yield strength of the rock.

[0021] Preferably, the least squares method objective function used by the elastic modulus and yield strength analysis unit is:

[0022]

[0023] in, is the collected stress data, is the collected strain data, is the fitted model, represents the elastic modulus and yield strength to be determined.

[0024] Preferably, the risk assessment module includes an assessment structure building unit, a conditional probability table generating unit, a calculation unit, and a risk level classification unit;

[0025] The evaluation structure construction unit is used to construct an evaluation node for risk prediction and define the relationship between stress concentration, instability probability and risk level;

[0026] The conditional probability table generating unit is used to quantify the conditional probability of each node;

[0027] The calculation unit performs risk prediction and calculation of the instability risk of the monitoring area based on the real-time data and the conditional probability table generation unit;

[0028] The risk level division unit divides the monitoring area into different risk levels according to the calculation result, and outputs a signal to the threshold warning module.

[0029] In a second aspect, the present invention provides the following technical solution: a method for analyzing rock stability during mining, used in a device for analyzing rock stability during mining, the method comprising:

[0030] S1. Deploy strain gauges, pressure sensors and displacement sensors to key areas of the rock mass, collect stress and displacement data, and transmit the data to the data acquisition module at regular intervals;

[0031] S2, receiving real-time monitoring data, storing the data in a database, recording timestamps and sensor locations, and performing data cleaning and format conversion;

[0032] S3, calculate the stress and strain of the rock mass, generate stress-strain curves, and analyze elastic modulus and yield strength to identify rock changes;

[0033] S4. Calculate the stress concentration and instability probability of the monitored area, divide it into low, medium and high risk levels, and generate a risk level report;

[0034] S5. Set safety thresholds of stress, strain and displacement according to the characteristics of the excavated rock, and monitor the current value and threshold in real time. When the threshold is exceeded, an alarm is triggered and a notification is given.

[0035] In the third aspect, the invention provides the following technical solution: a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned rock stability analysis method during mining when executing the computer program.

[0036] In a fourth aspect, the present invention provides the following technical solution: a readable storage medium having a computer program stored thereon, and the computer program, when executed by a processor, implements the above-mentioned method for analyzing rock stability during mining.

[0037] The present invention has the following beneficial effects:

[0038] 1. In the present invention, the real-time monitoring module can quickly capture subtle changes in the rock mass under dynamic stress conditions. For example, when mining activities intensify and the stress state of the rock formation changes, the device can obtain dynamic behavior data of the rock mass in a timely manner through continuous monitoring of strain, pressure and displacement, so that the device can automatically adapt to the changing geological conditions during the mining process.

[0039] 2. In the present invention, the stress-strain relationship curve that changes with time is generated by using real-time data through the stress-strain analysis module, which can clearly show the transient response of the rock mass under different stress conditions. By analyzing the dynamic elastic modulus and yield strength, the system can identify the structural change trend of the rock mass and provide a quantitative basis for predicting stability under dynamic conditions.

[0040] 3. In the present invention, the synchronous collection of multi-dimensional data of strain, pressure and displacement is realized through multi-sensor configuration, which can comprehensively capture the dynamic changes of rock mass under different conditions. The device ensures accurate stability analysis and risk prediction in complex geological environments and dynamic mining conditions through integrated analysis of multiple data sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of the system architecture of a rock stability analysis device in a mining process proposed by the present invention;

[0042] Figure 2 This is a real-time monitoring module architecture diagram of a rock stability analysis device during mining proposed by the present invention;

[0043] Figure 3 This is a data acquisition module architecture diagram of a rock stability analysis device in a mining process proposed by the present invention;

[0044] Figure 4 This is a diagram of the stress-strain analysis module architecture of a rock stability analysis device during mining proposed by the present invention;

[0045] Figure 5 This is a risk assessment module architecture diagram of a rock stability analysis device in a mining process proposed by the present invention;

[0046] Figure 6 This is a method step diagram of a rock stability analysis method during mining process proposed by the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Embodiment 1

[0049] Reference Figure 1-Figure 5 In a first embodiment of the present invention, the present invention provides a rock stability analysis device in a mining process, comprising:

[0050] The real-time monitoring module is used to deploy equipment to monitor the stress and displacement status of the rock mass; the equipment includes strain gauges, pressure sensors and displacement sensors, all of which are installed in key areas, including but not limited to the mining face, tunnel intersections, fault fracture areas, support structure and rock contact surfaces, and rock layer change zones.

[0051] Specifically, the real-time monitoring module is used to deploy various monitoring equipment to continuously monitor the stress and displacement state of the mine rock mass. The monitoring equipment includes strain gauges, pressure sensors and displacement sensors, each of which has a specific function to capture the subtle strain, internal pressure and displacement changes of the rock mass. The deployment location of the monitoring equipment is precisely selected to capture the mechanical behavior of the rock mass in key areas and provide reliable data support for subsequent data analysis and risk assessment.

[0052] In the specific implementation, each sensor is installed in the key areas of the rock mass, which are extremely susceptible to stress concentration and structural instability during mining. The layout of key areas includes but is not limited to the following locations:

[0053] Mining face: The mining face is the area that is directly affected by the force during the mining process. The rock structure is greatly disturbed here, and the stress concentration phenomenon is significant. Therefore, the mining face is often the key area for rock monitoring. The strain gauge can monitor the tiny strain changes in this area, and the displacement sensor can detect the displacement increment caused by the displacement of the rock during the mining process, thereby realizing real-time stability monitoring of the mining face structure.

[0054] Tunnel intersection: Tunnel intersections are usually areas of stress and deformation concentration, because stress interactions between different tunnels can easily cause displacement and deformation of the rock mass. Strain gauges and pressure sensors installed at the intersections can capture stress changes and deformation trends in the area in a timely manner, providing early warning data for mining activities.

[0055] Fault crack area: Fault cracks are natural weak points in the rock mass, which are greatly affected by mining and are prone to further cracking or slippage after stress concentration. Pressure sensors can monitor pressure changes within the fault, while displacement sensors can detect fault displacement, thereby timely identifying further expansion or slippage tendencies of cracks and ensuring the safety of the fault area during stress.

[0056] Contact surface between support structure and rock mass: Mine support structure is used to maintain the stability of rock mass. The contact surface between support and rock mass is often an area of ​​stress concentration. If the support is insufficient or the rock mass pressure is too high, the contact surface may be displaced or damaged. By laying out pressure sensors and strain gauges on the support contact surface, the stress and displacement changes of the support structure can be monitored in a timely manner to ensure the stability of the support structure and avoid potential safety hazards to mining operations caused by failure of the support structure.

[0057] Rock formation change zone: In areas where rock formation properties change (such as the junction of hard and soft rock formations), stress distribution is often uneven due to the different physical properties of the rock mass, and these areas are prone to form stress concentration points. By installing pressure sensors and strain gauges to monitor the stress transfer of rock formation change zones, it is ensured that stress concentration can be effectively evaluated in complex rock structures, providing important safety guarantees for mining activities.

[0058] By deploying and setting up these monitoring devices, the real-time monitoring module can conduct comprehensive and real-time monitoring and recording of the mechanical behavior of key areas of the mine rock mass, ensuring dynamic tracking and analysis of the rock mass status during the mining process.

[0059] The data acquisition module is used to store and process sensor data in real time; it includes: a data receiving unit, which is used to receive monitoring data from each sensor; and a data storage unit, which is used to store data from the data receiving unit.

[0060] Specifically, the data acquisition module is used to store and process the monitoring data obtained from the sensor in real time to ensure the integrity and reliability of the rock mass monitoring information. The module includes a data receiving unit and a data storage unit. Each unit works together to complete the reception, preliminary processing and storage of data, providing basic support for subsequent analysis.

[0061] The data receiving unit is responsible for receiving real-time monitoring data from sensors (including strain gauges, pressure sensors, and displacement sensors) deployed in key areas. This unit connects to each sensor via wired or wireless communication to ensure real-time transmission of monitoring data. The data receiving unit can automatically identify the type and location of the sensor, mark the source area of ​​the data, and match the data with the timestamp to ensure that the specific collection location and time can be traced back in the subsequent processing process. Through the data receiving unit, the synchronous reception and integration of various monitoring data can be achieved to ensure the consistency and continuity of the data.

[0062] The data storage unit is used to effectively store the received monitoring data to avoid delays or data loss during transmission that may affect the analysis results. The storage unit adopts a hierarchical storage architecture, which can classify and store monitoring data, and save data from different sensors in groups by region and time series. To improve storage efficiency and data security, the data storage unit supports a real-time backup mechanism to automatically back up key data to remote storage to prevent data loss in unexpected situations. The unit also supports data compression and encryption functions to save storage space and ensure the security of data during storage and transmission.

[0063] The data acquisition module ensures the real-time, integrity and security of rock mass monitoring data through the collaborative work of the data receiving unit and the data storage unit, providing a stable data basis for subsequent stress-strain analysis and risk assessment. This module can also transmit the stored data to the subsequent analysis module through the interface, supporting the deep mining and intelligent analysis of the monitoring data, thereby achieving dynamic control of the rock mass status in mining operations.

[0064] Stress-strain analysis module, used to calculate stress and strain to generate stress-strain relationship curve, and analyze elastic modulus and yield strength; including stress-strain relationship curve generation unit, elastic modulus and yield strength analysis unit;

[0065] The stress-strain relationship curve generation unit is used to collect original data, calculate the rock using finite element analysis, and generate a stress-strain relationship curve;

[0066] The elastic modulus and yield strength analysis unit performs data fitting on the stress-strain relationship curve using the least squares method to obtain the elastic modulus and yield strength of the rock.

[0067] The least squares objective function is:

[0068]

[0069] in, is the collected stress data, is the collected strain data, is the fitted model, represents the elastic modulus and yield strength to be determined.

[0070] Specifically, the stress-strain analysis module is used to calculate the stress and strain of the rock mass, generate the stress-strain relationship curve, and further analyze the elastic modulus and yield strength of the rock mass. This module includes a stress-strain relationship curve generation unit and an elastic modulus and yield strength analysis unit, which work together to complete the analysis of rock mechanical properties.

[0071] The stress-strain relationship curve generation unit is used to receive and process the collected raw data, calculate the stress and strain of the rock through the finite element analysis method, and then generate the stress-strain relationship curve. The specific process includes:

[0072] Model building and material property setting Based on the actual geometry, material properties and mining conditions of the monitored area, a finite element model of the rock is established, and material properties such as elastic modulus and Poisson's ratio are assigned to accurately reflect the physical characteristics of the rock mass.

[0073] The loading conditions set boundary conditions and external loads for the model to simulate the actual stress conditions in the mining process in order to simulate the changing trends of stress and strain.

[0074] Stress and strain are calculated by solving finite element equations, calculating the displacement of each node, and further determining the stress and strain values ​​of each unit. The obtained stress and strain data are plotted into a stress-strain relationship curve to show the mechanical response of the rock mass during the stress process in the form of a graph.

[0075] The elastic modulus and yield strength analysis unit is used to perform data fitting on the stress-strain relationship curve and calculate the elastic modulus and yield strength of the rock mass. The specific process includes:

[0076] Select the linear region of the stress-strain relationship curve and apply the fitting algorithm to fit the data to determine the linear slope of the curve. Calculate the elastic modulus of the rock through the fitted slope value to reflect the stress-deformation characteristics of the rock mass within the elastic range. Identify the yield point of the stress-strain curve, determine the stress value of the rock from elastic deformation to plastic deformation, and define the stress value as the yield strength.

[0077] The risk assessment module is used to calculate stress concentration and instability probability, and divide the monitoring area into risk levels; the assessment structure construction unit, the conditional probability table generation unit, the calculation unit, and the risk level division unit. The assessment structure construction unit is used to construct an assessment structure for risk prediction, and define the relationship between stress concentration, instability probability and risk level; the conditional probability table generation unit is used to quantify the conditional probability of each node; the calculation unit performs risk prediction and calculates the instability risk of the monitoring area based on real-time data and the conditional probability table generation unit; the risk level division unit divides the monitoring area into different risk levels according to the calculation results, and outputs signals to the threshold warning module.

[0078] Specifically, the risk assessment module is used to calculate the stress concentration and instability probability of the rock mass, and divide the monitoring area into different risk levels to support safety management and early warning of the mining area. The module includes an assessment structure construction unit, a conditional probability table generation unit, a calculation unit, and a risk level division unit. Each unit cooperates with each other to achieve a comprehensive assessment of the risk of rock mass instability.

[0079] The evaluation structure construction unit is used to construct the evaluation structure of risk prediction and clarify the logical relationship between stress concentration, instability probability and risk level. The specific implementation includes: taking stress concentration and instability probability as evaluation indicators and defining their influence on rock mass risk level. Then, a structured evaluation model including stress concentration, instability probability and risk level is constructed to form a correlation diagram between the indicators, providing a basis for the subsequent generation of conditional probability tables.

[0080] The conditional probability table generation unit quantifies the conditional probability of each node based on the relationship diagram of the evaluation structure building unit and establishes a conditional probability table. The specific steps include: estimating the probability impact of stress concentration and instability probability on different risk levels by analyzing historical monitoring data and field experimental data. Then, for each evaluation indicator node, calculate its probability under different conditions to form a conditional probability table, so that the model can output the corresponding instability risk probability under different monitoring conditions.

[0081] The calculation unit dynamically predicts and calculates the instability risk of the monitored area based on real-time data and conditional probability tables.

[0082] The specific process includes: obtaining real-time stress concentration and other key parameters from the data acquisition module. Inputting real-time data into the risk prediction model, and generating the predicted value of instability risk in combination with the conditional probability table. Combining the influence of real-time data, output the current instability risk probability of the monitored area to provide support for the subsequent risk level classification.

[0083] The risk level division unit divides the monitoring area into different risk levels such as low, medium and high according to the instability risk probability output by the calculation unit, and outputs a signal to the threshold warning module.

[0084] The specific steps include: setting risk level thresholds according to different instability probability values, and dividing risks into low risk, medium risk, and high risk levels. Comparing the instability risk probability calculated in real time with the preset risk level standard, the risk level of the monitored area is determined. The risk level information is output to the threshold warning module, triggering the corresponding warning level, and providing timely safety guidance for managers.

[0085] The threshold warning module sets the safety threshold of the monitoring indicators and issues an alarm when the threshold is exceeded.

[0086] Specifically, the threshold warning module continuously obtains the latest monitoring data from the sensor through real-time connection with the data acquisition module, and compares each data with the preset safety threshold in real time. The module supports dynamic threshold adjustment function, allowing the threshold to be adjusted according to the real-time monitoring results when the mining working conditions or environmental conditions change, ensuring the flexibility and adaptability of the threshold to achieve higher accuracy and response speed in real-time monitoring.

[0087] Embodiment 2:

[0088] Reference Figure 6 In a second embodiment of the present invention, the present invention provides a method for analyzing rock stability during mining, the method comprising:

[0089] S1. Deploy strain gauges, pressure sensors and displacement sensors to key areas of the rock mass, collect stress and displacement data, and transmit the data to the data acquisition module at regular intervals;

[0090] Specifically, in this step, strain gauges are used to monitor the slight deformation of the rock mass, pressure sensors detect the stress distribution inside the rock mass, and displacement sensors record the relative displacement of the rock mass. Sensors are deployed in key areas such as mining faces, tunnel intersections, fault fracture areas, contact surfaces between support structures and rock mass, and rock formation change zones to capture the mechanical changes in these areas that are most affected by stress concentration. Through regular collection and transmission, it is ensured that the data can reflect the dynamic changes of the rock mass during the mining process, supporting subsequent analysis and risk assessment.

[0091] S2, receiving real-time monitoring data, storing the data in a database, recording timestamps and sensor locations, and performing data cleaning and format conversion;

[0092] Specifically, after receiving the data from the sensor, the data acquisition module stores it in the database and records the timestamp, sensor location and data type of the data so that the source of the data can be accurately traced during subsequent analysis.

[0093] S3, calculate the stress and strain of the rock mass, generate stress-strain curves, and analyze elastic modulus and yield strength to identify rock changes;

[0094] Specifically, by calculating the stress and strain values ​​of the rock mass at different positions, the system generates a stress-strain relationship curve to analyze the mechanical properties of the rock. The stress-strain relationship curve can reflect the elastic and plastic characteristics of the rock mass and help identify the performance of the rock mass under different stress states. The calculation of the elastic modulus is used to evaluate the deformation resistance of the rock mass in the elastic stage, while the yield strength is used to identify the critical point of the rock mass from elastic deformation to plastic deformation, thereby judging whether the rock is close to an unstable state.

[0095] S4. Calculate the stress concentration and instability probability of the monitored area, divide it into low, medium and high risk levels, and generate a risk level report;

[0096] Specifically, low-risk areas usually refer to areas with uniform stress distribution and no obvious deformation; medium-risk areas refer to areas with stress concentration or initial deformation; and high-risk areas refer to areas with high stress and close to or reaching the yield strength of the rock mass.

[0097] S5. Set safety thresholds of stress, strain and displacement according to the characteristics of the excavated rock, and monitor the current value and threshold in real time. When the threshold is exceeded, an alarm is triggered and a notification is given.

[0098] Specifically, the current values ​​of various indicators are monitored in real time and compared with the set safety thresholds. When the monitored values ​​exceed the set safety thresholds, the system immediately triggers an alarm and notifies relevant personnel through sound and light signals, text messages or emails. The multi-level mechanism of the alarm can be divided into early warning, warning and emergency alarms according to the degree of exceeding the threshold, allowing managers to take corresponding safety measures according to different risk levels to ensure the stability of mining operations.

[0099] Embodiment 3

[0100] The third embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of a rock stability analysis method in a mining process of the above embodiment.

[0101] Embodiment 4

[0102] The fourth embodiment of the present invention is based on the same inventive concept. The present invention proposes a terminal, which includes: a processor and a memory; the processor and the memory communicate with each other; the memory is used to store instructions; the processor is used to execute the instructions in the memory, and execute a rock stability analysis method in a mining process of the above embodiment.

[0103] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0104] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A rock stability analysis device during mining, characterized in that: include: Real-time monitoring module, used to deploy equipment to monitor the stress and displacement status of the rock mass; Data acquisition module, used to store and process sensor data in real time; Stress-strain analysis module, used to calculate stress and strain to generate stress-strain relationship curves, and analyze elastic modulus and yield strength; Risk assessment module, used to calculate stress concentration and instability probability, and divide the monitoring area into risk levels; The threshold warning module sets the safety threshold of the monitoring indicators and issues an alarm when the threshold is exceeded.

2. The rock stability analysis device in the mining process according to claim 1 is characterized in that: The equipment deployed in the real-time monitoring module includes strain gauges, pressure sensors and displacement sensors, all of which are installed in key areas.

3. The rock stability analysis device in the mining process according to claim 2 is characterized in that: The key areas where the displacement sensor is installed include but are not limited to mining faces, tunnel intersections, fault fracture areas, contact surfaces between support structures and rock masses, and rock layer change zones.

4. The rock stability analysis device in the mining process according to claim 1 is characterized in that: The data acquisition module comprises: A data receiving unit, used for receiving monitoring data from each sensor; The data storage unit is used to store data of the data receiving unit.

5. The rock stability analysis device in the mining process according to claim 1 is characterized in that: The stress-strain analysis module includes a stress-strain relationship curve generation unit and an elastic modulus and yield strength analysis unit; The stress-strain relationship curve generating unit is used to collect original data, calculate the rock using finite element analysis, and generate a stress-strain relationship curve; The elastic modulus and yield strength analysis unit performs data fitting on the stress-strain relationship curve by the least square method to obtain the elastic modulus and yield strength of the rock.

6. The rock stability analysis device in the mining process according to claim 5 is characterized in that: The least squares objective function used by the elastic modulus and yield strength analysis unit is: ;in, is the collected stress data, is the collected strain data, is the fitted model, represents the elastic modulus and yield strength to be determined.

7. The rock stability analysis device in the mining process according to claim 1 is characterized in that: The risk assessment module includes: The evaluation structure building unit is used to build the evaluation node for risk prediction and define the relationship between stress concentration, instability probability and risk level; A conditional probability table generating unit, used to quantify the conditional probability of each node; The calculation unit performs risk prediction and calculation of the instability risk of the monitoring area based on real-time data and conditional probability table generation unit; The risk level division unit divides the monitoring area into different risk levels according to the calculation result and outputs a signal to the threshold warning module.

8. A method for analyzing rock stability during mining, characterized in that: A rock stability analysis device for a mining process as claimed in any one of claims 1 to 7, the method comprising: S1. Deploy strain gauges, pressure sensors and displacement sensors to key areas of the rock mass, collect stress and displacement data, and transmit the data to the data acquisition module at regular intervals; S2, receiving real-time monitoring data, storing the data in a database, recording timestamps and sensor locations, and performing data cleaning and format conversion; S3, calculate the stress and strain of the rock mass, generate stress-strain curves, and analyze elastic modulus and yield strength to identify rock changes; S4. Calculate the stress concentration and instability probability of the monitored area, divide it into low, medium and high risk levels, and generate a risk level report; S5. Set safety thresholds of stress, strain and displacement according to the characteristics of the excavated rock, and monitor the current value and threshold in real time. When the threshold is exceeded, an alarm is triggered and a notification is given.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for analyzing rock stability during mining as described in claim 8 is implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for analyzing rock stability during mining as claimed in claim 8 is implemented.

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