A multi-module cooperation-based off-layer development comprehensive monitoring system

Abstract

The application relates to the technical field of separation layer development monitoring, and discloses a separation layer development comprehensive monitoring system based on multi-module cooperation, which comprises a microseismic monitoring module, a settlement monitoring module, a stress monitoring module, an underground water flow monitoring module and a data analysis module. The microseismic signal is captured through a sensor, the settlement conditions of the ground and different rock layers are monitored and recorded, the stress state in the coal seam and overburden rock is monitored, the underground water level and flow conditions are monitored, the data monitored by each module is comprehensively analyzed, and the separation layer development risk is evaluated.

Description

Technical Field

[0001] This invention relates to the field of abscission development monitoring technology, and more specifically, to a comprehensive abscission development monitoring system based on multi-module collaboration. Background Technology

[0002] During coal seam mining, the stress distribution of the underground overburden changes. After the coal seam is extracted, the original stress balance is disrupted, and the overburden undergoes complex deformation and movement. Due to the stress disruption of the overburden, delamination space is formed. The formation of delamination space is not only related to the physical and mechanical properties of the rock, but also closely related to the scale of mining, mining speed, and the geological structure of the overburden above the coal seam. Delamination space can lead to delamination water inrush and surface subsidence. Existing monitoring technologies use settlement magnetic induction monitoring devices and settlement detectors to monitor delamination development. Settlement magnetic induction uses magnetic markers placed in the rock strata and sensors to monitor the positional changes of the markers to reflect the settlement of the rock strata. Settlement detectors use high-precision measuring instruments to directly measure the vertical displacement of specific points on the surface of the rock strata.

[0003] While these monitoring methods can record rock stratum settlement data and generate relationship diagrams for analysis, relying solely on rock stratum settlement magnetic induction devices and settlement detectors results in a limited information source. On one hand, this monitoring method can only obtain settlement information on or near the surface of the rock stratum, failing to penetrate deep into the rock interior. However, stress changes within the rock are one of the fundamental causes of the formation and development of ablation spaces. Furthermore, this monitoring method cannot reflect the impact of groundwater flow on ablation development. Groundwater plays a crucial role in the formation and development of ablation spaces; it can not only soften rocks and reduce their strength but also scour and fill ablation spaces through water pressure. On the other hand, existing technologies do not combine microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater monitoring data to assess potential ablation development risks.

[0004] To address the aforementioned problems, a technical solution is provided. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a comprehensive monitoring system for delamination development based on multi-module collaboration. This system uses sensors to capture microseismic signals, monitors and records the subsidence of the surface and different rock layers, monitors the stress state in coal seams and overburden, and simultaneously monitors groundwater levels and flow. It comprehensively analyzes the data monitored by each module and assesses the risk of delamination development, thereby solving the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A multi-module collaborative comprehensive monitoring system for delamination development includes a microseismic monitoring module, a settlement monitoring module, a stress monitoring module, a groundwater flow monitoring module, and a data analysis module. The microseismic monitoring module is responsible for real-time capture and analysis of microseismic signals caused by rock strata fracturing and stress redistribution during coal seam mining. The settlement monitoring module monitors and records the settlement of the surface and different rock strata. The stress monitoring module monitors the stress state in the coal seam and overburden. The groundwater flow monitoring module monitors groundwater level and flow. The data analysis module comprehensively analyzes the microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater flow monitoring data, establishing a comprehensive analysis model to describe the relationships between different data. The formula for the comprehensive analysis model is:

[0008]

[0009] In the formula: F(x,y,z,t) represents the multi-source data after fusing microseismic, settlement, stress, and groundwater monitoring data at location (x,y,z) and time t, where x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, M(x,y,z,t) represents the microseismic monitoring data at location (x,y,z) and time t, S(x,y,z,t) represents the settlement monitoring data at location (x,y,z) and time t, σ(x,y,z,t) represents the stress monitoring data at location (x,y,z) and time t, W(x,y,z,t) represents the groundwater flow monitoring data at location (x,y,z) and time t, P1 is used to adjust the influence weight of settlement monitoring data in the comprehensive analysis model, P2 is used to adjust the influence weight of groundwater flow data in the comprehensive analysis model, and θ is used to control the degree of exponential decay.

[0010] As a further aspect of the present invention, based on the comprehensive analysis model, a dynamic change model of abscission development is established, and combined with different data, the potential risk of abscission development is assessed, including the following specific contents:

[0011] The formula for the dynamic change model of delamination development is:

[0012]

[0013] In the formula: D(x,y,z,t) represents the dynamic change value of delamination development at location (x,y,z) and time t; F(x,y,z,t) represents the multi-source data after fusing microseismic, settlement, stress, and groundwater monitoring data at location (x,y,z) and time t; λ dφ is the dynamic attenuation constant, used to control the degree of attenuation of the influence of location on dynamic changes. (x1,y1) are the reference positions of the horizontal and vertical axes. M(x,y,z,t) are the microseismic monitoring data at position (x,y,z) and time t. S(x,y,z,t) are the settlement monitoring data at position (x,y,z) and time t. σ(x,y,z,t) are the stress monitoring data at position (x,y,z) and time t. W(x,y,z,t) are the groundwater flow monitoring data at position (x,y,z) and time t. φ is the time attenuation constant, which controls the degree of influence of dynamic changes over time. t1 is the reference time point.

[0014] As a further aspect of the present invention, the microseismic monitoring module is responsible for real-time capture and analysis of microseismic signals caused by rock strata fracturing and stress redistribution changes during coal seam mining, including the following specific contents:

[0015] The microseismic monitoring module includes a microseismic sensor, a signal processing unit, and a data storage unit. The microseismic sensor is responsible for collecting microseismic signal data, and the signal processing unit is responsible for processing the raw signal data received from the microseismic sensor. By establishing a signal enhancement technology model, the received raw signal data is denoised and nonlinearly enhanced. The formula for the signal enhancement technology model is as follows:

[0016]

[0017] In the formula: S(k) represents the enhanced signal data processed at time k, S(τ) represents the original microseismic signal data at time k, S(τ) represents the original microseismic signal data at time τ, K(k-τ) is the enhancement kernel function, which provides weighting in the signal domain, α is the enhancement factor, which controls the degree of signal enhancement, β is the attenuation factor, which controls the degree of signal attenuation over time, and γ is the slope factor, which affects the degree of penalty for the rate of change of the signal.

[0018] The data storage unit combines distributed storage technology to store and manage microseismic signal data. It also supports hierarchical storage and intelligent management of data. In addition, the unit has a data compression function, which can compress storage space without losing important information, reduce data storage costs, and allow data to be stored and accessed according to time and event type.

[0019] As a further aspect of the present invention, the settlement monitoring module is responsible for monitoring and recording the settlement of the land surface and different rock strata, including the following specific contents:

[0020] The settlement monitoring module includes a settlement magnetic ring assembly, an installation guide tube, and a settlement monitoring instrument. The settlement magnetic ring assembly consists of an anchor assembly, a magnetic induction ring, and a magnetic ring sleeve. The anchor assembly provides stable installation of the magnetic ring assembly in complex geological environments, ensuring its positional stability in different soil and rock layers. The magnetic induction ring senses changes in the magnetic field related to settlement, capturing changes in the position of magnetic markers during rock settlement and converting them into electrical signals. The magnetic ring sleeve protects the magnetic induction ring and anchor assembly from damage. The main function of the installation guide tube is to install and retrieve the magnetic ring assembly. During installation, the guide tube transports the magnetic ring assembly to the predetermined monitoring position. During retrieval, the guide tube facilitates the removal of the magnetic ring assembly from the monitoring position for maintenance, replacement, or other purposes. Reinstallation; The settlement monitoring instrument includes a magnetic induction probe, a buzzer, and a graduated measuring tape. The magnetic induction probe works based on the principle of electromagnetic induction, calculating the positional change of the magnetic marker by measuring the magnitude of the induced electromotive force, and thus obtaining the settlement of the rock strata. The buzzer is the alarm device of the settlement monitoring module; when the detected settlement exceeds a preset threshold, the buzzer will emit a loud alarm sound. The graduated measuring tape is an auxiliary measuring tool; it is used to measure when the magnetic induction probe malfunctions or when a quick preliminary estimate of the settlement is needed. Through the coordinated work of the settlement magnetic ring assembly, the installation guide tube, and the settlement monitoring instrument, the settlement monitoring module can acquire settlement data in real time and transmit this data to the data analysis and decision support module.

[0021] As a further aspect of the present invention, the stress monitoring module is responsible for monitoring the stress state in the coal seam and overlying rock, including the following specific contents:

[0022] The stress monitoring module includes a stress sensor, a data acquisition unit, and a data processing unit. The stress sensor captures stress changes within the rock strata and converts these changes into electrical signals. The data acquisition unit is connected to the stress sensor via a data bus and can continuously acquire stress change information at different sampling frequencies. The data acquisition unit samples data according to preset time intervals to capture the dynamic stress change process within the rock strata. The data processing unit first filters the signal to remove invalid data caused by equipment noise or external interference. Based on the sensor feedback, it establishes a stress analysis model to help engineers intuitively understand the stress state within the rock strata. The formula for the stress analysis model is:

[0023]

[0024] In the formula: σ(x,y,z,t) is the stress value at position (x,y,z) and time t, where x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, (x0,y0) is the reference position of the horizontal and vertical axes coordinates, describing the reference point of stress attenuation, λ is the attenuation constant, representing the degree of stress attenuation with distance, and f(y,z) is a position-dependent function, representing the degree of influence of different positions on stress. f(y,z) satisfies Where z0 is the reference position of the vertical axis coordinate, H is the height of the formation, ε is a constant to avoid zero in the denominator, and g(t) is a time-dependent function describing the change of stress over time, satisfying g(t) = e -ηt Where η is the time decay coefficient, reflecting the decrease of stress over time; the stress monitoring module is also set with multiple early warning thresholds, and when the stress value detected by the sensor exceeds the preset safety threshold, the early warning mechanism is automatically triggered.

[0025] As a further aspect of the present invention, the groundwater flow monitoring module monitors the groundwater level and flow, including the following specific details:

[0026] The groundwater flow monitoring module includes a water level sensor and a flow velocity sensor. The water level sensor is based on pressure sensor technology, utilizing the relationship that liquid pressure is proportional to depth. When the water level changes, the groundwater pressure on the sensor probe will also change accordingly. When the flow velocity sensor emits sound waves of a certain frequency, these sound waves propagate in the groundwater. If the groundwater is in a flowing state, the frequency of the sound waves will change. This frequency change is proportional to the groundwater flow velocity. When the sound waves propagate along the direction of water flow, the wavelength of the sound waves will lengthen and the frequency will decrease due to the driving force of the water flow. When the sound waves propagate against the direction of water flow, the wavelength of the sound waves will shorten and the frequency will increase. By monitoring the frequency difference between the emitted and received sound waves, the groundwater flow velocity can be calculated.

[0027] As a further aspect of the present invention, the data analysis module is connected to the microseismic monitoring module, the settlement monitoring module, the stress monitoring module, and the groundwater flow monitoring module, respectively.

[0028] The technical effects and advantages of the bridge health monitoring and early warning method of the present invention are as follows:

[0029] This invention uses a microseismic monitoring module to capture and analyze microseismic signals caused by rock fracture and stress redistribution during coal seam mining in real time. A settlement monitoring module monitors and records the settlement of the surface and different rock strata. A stress monitoring module monitors the stress state in the coal seam and overburden. A stress analysis model improves the accuracy of stress state analysis. A groundwater flow monitoring module monitors groundwater level and flow, providing data for analyzing the impact of groundwater on delamination development. A data analysis module comprehensively analyzes the microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater flow monitoring data. By establishing a comprehensive analysis model to describe the relationships between different data, considering the interactions between various data, and combining different data, it assesses the potential risk of delamination development. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the structure of a comprehensive monitoring system for delamination development based on multi-module collaboration according to the present invention;

[0031] Figure 2 This is a diagram of the microseismic monitoring interface of a multi-module collaborative delamination development integrated monitoring system according to the present invention. Detailed Implementation

[0032] 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.

[0033] Example 1

[0034] See Figure 1 The schematic diagram shows a multi-module collaborative comprehensive monitoring system for delamination development, including a microseismic monitoring module, a settlement monitoring module, a stress monitoring module, a groundwater flow monitoring module, and a data analysis module. The microseismic monitoring module is responsible for capturing and analyzing microseismic signals caused by rock strata fracturing and stress redistribution during coal seam mining in real time; the settlement monitoring module is responsible for monitoring and recording the settlement of the surface and different rock strata; the stress monitoring module is responsible for monitoring the stress state in the coal seam and overburden; the groundwater flow monitoring module monitors the groundwater level and flow; and the data analysis module performs comprehensive analysis on the microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater flow monitoring data.

[0035] Furthermore, the microseismic monitoring module is responsible for capturing and analyzing microseismic signals caused by rock fracture and stress redistribution during coal seam mining in real time, including the following specific components:

[0036] The microseismic monitoring module includes a microseismic sensor, a signal processing unit, and a data storage unit. The microseismic sensor is responsible for collecting microseismic signal data, and the signal processing unit is responsible for processing the raw signal data received from the microseismic sensor. By establishing a signal enhancement technology model, the received raw signal data is denoised and nonlinearly enhanced. The formula for the signal enhancement technology model is as follows:

[0037]

[0038] In the formula: S(k) represents the enhanced signal data processed at time k, S(τ) represents the original microseismic signal data at time k, S(τ) represents the original microseismic signal data at time τ, K(k-τ) is the enhancement kernel function, which provides weighting in the signal domain, α is the enhancement factor, which controls the degree of signal enhancement, β is the attenuation factor, which controls the degree of signal attenuation over time, and γ is the slope factor, which affects the degree of penalty for the rate of change of the signal.

[0039] The data storage unit combines distributed storage technology to store and manage microseismic signal data. It also supports hierarchical storage and intelligent management of data. In addition, the unit has a data compression function, which can compress storage space without losing important information, reduce data storage costs, and allow data to be stored and accessed according to time and event type.

[0040] Furthermore, the settlement monitoring module is responsible for monitoring and recording the settlement of the land surface and different rock strata, including the following specific details:

[0041] The settlement monitoring module includes a settlement magnetic ring assembly, an installation guide tube, and a settlement monitoring instrument. The settlement magnetic ring assembly consists of an anchor assembly, a magnetic induction ring, and a magnetic ring sleeve. The anchor assembly provides stable installation of the magnetic ring assembly in complex geological environments, ensuring its positional stability in different soil and rock layers. The magnetic induction ring senses changes in the magnetic field related to settlement, capturing changes in the position of magnetic markers during rock settlement and converting them into electrical signals. The magnetic ring sleeve protects the magnetic induction ring and anchor assembly from damage. The main function of the installation guide tube is to install and retrieve the magnetic ring assembly. During installation, the guide tube transports the magnetic ring assembly to the predetermined monitoring position. During retrieval, the guide tube facilitates the removal of the magnetic ring assembly from the monitoring position for maintenance and repair. Replace or reinstall; the settlement monitoring instrument includes a magnetic induction probe, a buzzer, and a graduated measuring tape. The magnetic induction probe works based on the principle of electromagnetic induction, calculating the positional change of the magnetic marker by measuring the magnitude of the induced electromotive force, and thus obtaining the settlement of the rock layer; the buzzer is the alarm device of the settlement monitoring module. When the detected settlement exceeds the preset threshold, the buzzer will emit a loud alarm sound; the graduated measuring tape is an auxiliary measuring tool. When the magnetic induction probe malfunctions or when a quick preliminary estimate of the settlement is needed, the graduated measuring tape is used for measurement; through the coordinated work of the settlement magnetic ring assembly, the installation guide tube, and the settlement monitoring instrument, the settlement monitoring module can acquire settlement data in real time and transmit this data to the data analysis module.

[0042] Furthermore, the stress monitoring module is responsible for monitoring the stress state in the coal seam and overburden, including the following specific aspects:

[0043] The stress monitoring module includes a stress sensor, a data acquisition unit, and a data processing unit. The stress sensor captures stress changes within the rock strata and converts these changes into electrical signals. The data acquisition unit is connected to the stress sensor via a data bus and can continuously acquire stress change information at different sampling frequencies. The data acquisition unit samples data according to preset time intervals to capture the dynamic stress change process within the rock strata. The data processing unit first filters the signal to remove invalid data caused by equipment noise or external interference. Based on the sensor feedback, it establishes a stress analysis model to help engineers intuitively understand the stress state within the rock strata. The formula for the stress analysis model is:

[0044]

[0045] In the formula: σ(x,y,z,t) is the stress value at position (x,y,z) and time t, where x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, (x0,y0) is the reference position of the horizontal and vertical axes coordinates, describing the reference point of stress attenuation, λ is the attenuation constant, representing the degree of stress attenuation with distance, and f(y,z) is a position-dependent function, representing the degree of influence of different positions on stress. f(y,z) satisfies Where z0 is the reference position of the vertical axis coordinate, H is the height of the formation, ε is a constant to avoid zero in the denominator, and g(t) is a time-dependent function describing the change of stress over time, satisfying g(t) = e -ηt Where η is the time decay coefficient, reflecting the decrease of stress over time; the stress monitoring module is also set with multiple early warning thresholds, and when the stress value detected by the sensor exceeds the preset safety threshold, the early warning mechanism is automatically triggered.

[0046] Furthermore, the groundwater flow monitoring module monitors groundwater levels and flow, including the following specific aspects:

[0047] The groundwater flow monitoring module includes a water level sensor and a flow velocity sensor. The water level sensor is based on pressure sensor technology, utilizing the relationship that liquid pressure is proportional to depth. When the water level changes, the groundwater pressure on the sensor probe will also change accordingly. When the flow velocity sensor emits sound waves of a certain frequency, these sound waves propagate in the groundwater. If the groundwater is in a flowing state, the frequency of the sound waves will change. This frequency change is proportional to the groundwater flow velocity. When the sound waves propagate along the direction of water flow, the wavelength of the sound waves will lengthen and the frequency will decrease due to the driving force of the water flow. When the sound waves propagate against the direction of water flow, the wavelength of the sound waves will shorten and the frequency will increase. By monitoring the frequency difference between the emitted and received sound waves, the groundwater flow velocity can be calculated.

[0048] Furthermore, the data analysis module comprehensively analyzes microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater flow monitoring data, including the following specific contents:

[0049] Microseismic monitoring data reflects microseismic signals caused by rock strata fracturing and stress redistribution; settlement monitoring data records the settlement of the surface and different rock strata; stress monitoring data provides information on the stress state in coal seams and overburden; and groundwater flow monitoring data reveals groundwater level and flow. The data analysis module integrates these data from different monitoring modules to establish a comprehensive analysis model that describes the relationships between different data. The formula for the comprehensive analysis model is:

[0050]

[0051] In the formula: F(x,y,z,t) represents the multi-source data after fusing microseismic, settlement, stress, and groundwater monitoring data at location (x,y,z) and time t, where x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, M(x,y,z,t) represents the microseismic monitoring data at location (x,y,z) and time t, S(x,y,z,t) represents the settlement monitoring data at location (x,y,z) and time t, σ(x,y,z,t) represents the stress monitoring data at location (x,y,z) and time t, W(x,y,z,t) represents the groundwater flow monitoring data at location (x,y,z) and time t, P1 is used to adjust the influence weight of settlement monitoring data in the comprehensive analysis model, P2 is used to adjust the influence weight of groundwater flow data in the comprehensive analysis model, and θ is used to control the degree of exponential decay.

[0052] By establishing a dynamic model of abscission development and combining different data, the potential risk of abscission development is assessed. The formula for the dynamic model of abscission development is as follows:

[0053]

[0054] In the formula: D(x,y,z,t) represents the dynamic change value of delamination development at location (x,y,z) and time t; F(x,y,z,t) represents the multi-source data after fusing microseismic, settlement, stress, and groundwater monitoring data at location (x,y,z) and time t; λ d σ(x,y,z,t) is the dynamic attenuation constant used to control the degree of attenuation of the influence of location on dynamic changes. (x1,y1) represents the reference positions of the horizontal and vertical axes. M(x,y,z,t) represents the microseismic monitoring data at location (x,y,z) and time t. S(x,y,z,t) represents the settlement monitoring data at location (x,y,z) and time t. σ(x,y,z,t) represents the stress monitoring data at location (x,y,z) and time t. W(x,y,z,t) represents the groundwater flow at location (x,y,z) and time t. Dynamic monitoring data, where φ is the time decay constant, controls the degree of influence of dynamic changes over time, and t1 is the reference time point. When D(x,y,z,t) is greater than the preset risk threshold for delamination development, it indicates that the risk of delamination development is high, so mining operations are suspended or slowed down, and the monitoring frequency is increased. When D(x,y,z,t) is less than or equal to the preset risk threshold for delamination development, it indicates that the risk of delamination development is low, so mining is carried out in the low-risk area according to the established plan to ensure production efficiency, while regular safety inspections and maintenance are carried out.

[0055] Furthermore, the data analysis module is connected to the microseismic monitoring module, settlement monitoring module, stress monitoring module, and groundwater flow monitoring module, respectively.

[0056] See Figure 2The microseismic monitoring interface shown is a window for operators to interact with the microseismic monitoring module. It can display microseismic monitoring data in real time and provide operation and analysis tools to help engineers and researchers better understand and process microseismic signals. The interface displays the raw signal data collected by the microseismic sensor in real time in the form of icons and values. The interface diagram can intuitively present the trend of microseismic signals changing over time, helping users quickly understand the dynamic process of microseismic activity inside the rock strata. Users can set the data storage path of the data storage unit on this interface. Users can choose to store the data in a specific partition of the local hard drive or specify the storage location of a remote server.

[0057] This invention uses a microseismic monitoring module to capture and analyze microseismic signals caused by rock fracture and stress redistribution during coal seam mining in real time. A settlement monitoring module monitors and records the settlement of the surface and different rock strata. A stress monitoring module monitors the stress state in the coal seam and overburden. A stress analysis model improves the accuracy of stress state analysis. A groundwater flow monitoring module monitors groundwater level and flow, providing data for analyzing the impact of groundwater on delamination development. A data analysis module comprehensively analyzes the microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater flow monitoring data. By establishing a comprehensive analysis model to describe the relationships between different data, considering the interactions between various data, and combining different data, it assesses the potential risk of delamination development.

[0058] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0059] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A comprehensive monitoring system for abscission development based on multi-module collaboration, characterized in that, The system includes a microseismic monitoring module, a settlement monitoring module, a stress monitoring module, a groundwater flow monitoring module, and a data analysis module. The microseismic monitoring module is responsible for real-time capture and analysis of microseismic signals caused by rock strata fracturing and stress redistribution during coal seam mining. The settlement monitoring module monitors and records the settlement of the surface and different rock strata. The stress monitoring module monitors the stress state in the coal seam and overburden. The groundwater flow monitoring module monitors groundwater level and flow. The data analysis module comprehensively analyzes the microseismic monitoring data, settlement monitoring data, stress monitoring data, and groundwater flow monitoring data, establishing a comprehensive analysis model to describe the relationships between different data. The formula for the comprehensive analysis model is: In the formula: F(x,y,z,t) represents the multi-source data after fusing microseismic, settlement, stress, and groundwater monitoring data at location (x,y,z) and time t, where x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, M(x,y,z,t) represents the microseismic monitoring data at location (x,y,z) and time t, S(x,y,z,t) represents the settlement monitoring data at location (x,y,z) and time t, σ(x,y,z,t) represents the stress monitoring data at location (x,y,z) and time t, W(x,y,z,t) represents the groundwater flow monitoring data at location (x,y,z) and time t, P1 is used to adjust the influence weight of settlement monitoring data in the comprehensive analysis model, P2 is used to adjust the influence weight of groundwater flow data in the comprehensive analysis model, and θ is used to control the degree of exponential decay.

2. The comprehensive monitoring system for abscess development based on multi-module collaboration according to claim 1, characterized in that... Based on the comprehensive analysis model, a dynamic change model for abscission development is established. Combining different data, the potential risk of abscission development is assessed. The formula for the dynamic change model of abscission development is: In the formula: D(x,y,z,t) represents the dynamic change value of delamination development at location (x,y,z) and time t; F(x,y,z,t) represents the multi-source data after fusing microseismic, settlement, stress, and groundwater monitoring data at location (x,y,z) and time t; λ d φ is the dynamic attenuation constant, used to control the degree of attenuation of the influence of location on dynamic changes. (x1,y1) are the reference positions of the horizontal and vertical axes. M(x,y,z,t) are the microseismic monitoring data at position (x,y,z) and time t. S(x,y,z,t) are the settlement monitoring data at position (x,y,z) and time t. σ(x,y,z,t) are the stress monitoring data at position (x,y,z) and time t. W(x,y,z,t) are the groundwater flow monitoring data at position (x,y,z) and time t. φ is the time attenuation constant, which controls the degree of influence of dynamic changes over time. t1 is the reference time point.

3. The comprehensive monitoring system for abscission development based on multi-module collaboration according to claim 1, characterized in that... The microseismic monitoring module includes a microseismic sensor, a signal processing unit, and a data storage unit. The signal processing unit is responsible for processing the raw signal data received from the microseismic sensor. By establishing a signal enhancement technology model, it performs noise reduction and nonlinear enhancement on the received raw signal data. The formula for the signal enhancement technology model is as follows: In the formula: S(k) represents the enhanced signal data processed at time k, S(τ) represents the original microseismic signal data at time k, S(τ) represents the original microseismic signal data at time τ, K(k-τ) is the enhancement kernel function, which provides weighting in the signal domain, α is the enhancement factor, which controls the degree of signal enhancement, β is the attenuation factor, which controls the degree of signal attenuation over time, and γ is the slope factor, which affects the degree of penalty for the rate of change of the signal.

4. The comprehensive monitoring system for abscission development based on multi-module collaboration according to claim 1, characterized in that, The stress monitoring module includes a stress sensor, a data acquisition unit, and a data processing unit. Based on the sensor feedback, the data processing unit establishes a stress analysis model. The formula for the stress analysis model is: In the formula: σ(x,y,z,t) is the stress value at position (x,y,z) and time t, where x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, (x0,y0) is the reference position of the horizontal and vertical axes coordinates, describing the reference point of stress attenuation, λ is the attenuation constant, representing the degree of stress attenuation with distance, and f(y,z) is a position-dependent function, representing the degree of influence of different positions on stress. f(y,z) satisfies Where z0 is the reference position of the vertical axis coordinate, H is the height of the formation, ε is a constant to avoid zero in the denominator, and g(t) is a time-dependent function describing the change of stress over time, satisfying g(t) = e -ηt , where η is the time decay coefficient, reflecting the decrease of stress over time.

5. The comprehensive monitoring system for abscission development based on multi-module collaboration according to claim 3, characterized in that, The micro-vibration sensor is an accelerometer.

6. The comprehensive monitoring system for abscission development based on multi-module collaboration according to claim 4, characterized in that, The stress sensor is a piezoresistive sensor.

7. The comprehensive monitoring system for abscission development based on multi-module collaboration according to claim 3, characterized in that, The data storage unit uses a solid-state drive as one of the storage media.

8. The comprehensive monitoring system for abscission development based on multi-module collaboration according to claim 1, characterized in that, The data analysis module is connected to the microseismic monitoring module, the settlement monitoring module, the stress monitoring module, and the groundwater flow monitoring module, respectively.

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