Comprehensive bed separation development monitoring system based on multi-module cooperation

Abstract

The invention relates to the technical field of bed separation development monitoring, and discloses a comprehensive bed separation development monitoring system based on multi-module coordination, which comprises a micro-seismic monitoring module, a settlement monitoring module, a stress monitoring module, an underground water flow monitoring module and a data analysis module. The system monitors and records settlement conditions of the earth surface and different rock stratums, monitors stress states in a coal seam and overlying strata, monitors underground water level and flow conditions, comprehensively analyzes data monitored by each module, and evaluates bed separation development risks.

Description

Technical Field

[0001] The present invention relates to the technical field of abscission layer development monitoring, and more specifically, to a comprehensive abscission layer development monitoring system based on multi-module collaboration. Background Art

[0002] During coal mining, the stress distribution of the underground overburden will change. After the coal seam is mined, the original stress balance state is destroyed, and the overburden will undergo a complex deformation and movement process. Due to the destruction of overburden stress, delamination space will be 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 address structure of the overburden above the coal seam. Delamination space can cause delamination water inrush and surface subsidence. The existing monitoring technology is to use sedimentation magnetic induction monitoring devices and sedimentation detectors to monitor the development of delamination. Sedimentation magnetic induction sets magnetic markers in the rock formation and uses sensors to monitor the position changes of the markers to reflect the settlement of the rock formation. The settlement detector uses high-precision measuring instruments to directly measure the vertical displacement of specific points on the rock formation surface.

[0003] Although these monitoring methods can record rock formation settlement data and draw relationship diagrams for analysis, they only rely on rock formation settlement magnetic induction devices and settlement detectors to obtain data, and the information source is single. On the one hand, this monitoring method can only obtain settlement information on the surface of the rock formation or near the surface, and cannot penetrate into the rock. The stress change inside the rock is one of the fundamental reasons for the formation and development of the delamination space. This monitoring method cannot reflect the impact of groundwater flow on the development of the delamination space. Groundwater plays an important role in the formation and development of the delamination space. It can not only soften the rock and reduce the strength of the rock, but also flush and fill the delamination space through water pressure. On the other hand, the existing technology does not combine microseismic monitoring data, settlement monitoring data, stress monitoring data and groundwater monitoring data to evaluate the potential risk of delamination development.

[0004] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a comprehensive monitoring system for stratification development based on multi-module collaboration, which captures microseismic signals through sensors, monitors and records the settlement of the surface and different rock layers, monitors the stress state in the coal seams and overlying rocks, and monitors the groundwater level and flow conditions at the same time, comprehensively analyzes the data monitored by each module and evaluates the risk of stratification development, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A comprehensive monitoring system for separation layer development based on multi-module collaboration 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 fracture and stress redistribution changes during coal mining; the settlement monitoring module is responsible for monitoring and recording the settlement of the surface and different rock layers, 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 conducts comprehensive analysis on microseismic monitoring data, settlement monitoring data, stress monitoring data and groundwater flow monitoring data, establishes a comprehensive analysis model, and describes the relationship between different data. The formula of the comprehensive analysis model is:

[0008]

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

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

[0011] The formula of the dynamic change model of abscission layer development is:

[0012]

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

[0014] As a further solution of the present invention, the microseismic monitoring module is responsible for real-time capture and analysis of microseismic signals caused by rock fracture 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. The signal processing unit is responsible for processing the original signal data received from the microseismic sensor. By establishing a signal enhancement technology model, the received original signal data is denoised and nonlinearly enhanced. The formula of the signal enhancement technology model is:

[0016]

[0017] Where: is the enhanced signal data after processing at time k, S(k) is the original microseismic signal data at time k, S(τ) is the original microseismic signal data at time τ, K(k-τ) is the enhanced 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 signal change rate;

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

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

[0020] The settlement monitoring module includes a settlement magnetic ring assembly, an installation catheter and a settlement monitor. The settlement magnetic ring assembly consists of an anchor hoop assembly, a magnetic induction iron ring and a magnetic ring sleeve. The anchor hoop assembly can stably install the magnetic ring assembly in a complex geological environment and ensure its stable position in different soil and rock layers. The magnetic induction iron ring can sense the magnetic field changes related to settlement, capture the position changes of magnetic markers when the rock layer settles and convert them into electrical signals for transmission. The magnetic ring sleeve protects the magnetic induction iron ring and the anchor hoop assembly from damage. The main function of the installation catheter is to install and recover the magnetic ring assembly. During the installation process, the installation catheter needs to transport the magnetic ring assembly to the predetermined monitoring position. When recovering the magnetic ring assembly, the installation catheter can easily remove the magnetic ring assembly from the monitoring position for maintenance, replacement or Reinstall; the settlement monitor includes a magnetic induction probe, a buzzer and a tape measure with a scale. The magnetic induction probe works based on the principle of electromagnetic induction. By measuring the size of the induced electromotive force, the position change of the magnetic marker is calculated, and then the settlement of the rock formation is obtained; 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; the tape measure with a scale is an auxiliary measuring tool. When the magnetic induction probe fails or a quick preliminary estimate of the settlement is required, the tape measure with a scale is used for measurement; through the coordinated work of the settlement magnetic ring assembly, the installation catheter and the settlement monitor, the settlement monitoring module can obtain settlement data in real time and transmit these data to the data analysis and decision support module.

[0021] As a further solution of the present invention, the stress monitoring module is responsible for monitoring the stress state in the coal seam and the overburden 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 inside the rock formation and converts these changes into electrical signals. The data acquisition unit is connected to the stress sensor through a data bus and can continuously obtain stress change information at different sampling frequencies. The data acquisition unit samples data according to a preset time interval to capture the dynamic stress change process inside the rock formation. The data processing unit first removes invalid data caused by equipment noise or external interference through signal filtering, and establishes a stress analysis model based on the feedback of the sensor to help engineers intuitively understand the stress state inside the rock formation. The formula of the stress analysis model is:

[0023]

[0024] Where: σ(x,y,z,t) is the stress value at time t at position (x,y,z), 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 axis coordinates, describing the reference point of stress attenuation, λ is the attenuation constant, indicating the degree of stress attenuation with distance, f(y,z) is a function related to position, indicating the degree of influence of different positions on stress, and f(y,z) satisfies Where z0 is the reference position of the vertical axis, H is the height of the formation, ε is a constant to avoid the denominator being zero, g(t) is a time-dependent function that describes the change of stress with time, and g(t) satisfies g(t) = e -ηt , where η is the time attenuation coefficient, reflecting the weakening of stress over time; the stress monitoring module also sets multiple warning thresholds. When the stress value detected by the sensor exceeds the preset safety threshold, the warning mechanism is automatically triggered.

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

[0026] The groundwater flow monitoring module includes a water level sensor and a flow rate sensor. The water level sensor is based on pressure sensor technology and uses 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 rate 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 flow rate of the groundwater. When the sound waves propagate along the direction of the water flow, due to the drive of the water flow, the wavelength of the sound waves will increase and the frequency will decrease. When the sound waves propagate against the direction of the water flow, the wavelength of the sound waves will become shorter and the frequency will increase. The flow rate of the groundwater can be calculated by monitoring the frequency difference between the emitted and received sound waves.

[0027] As a further solution 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] Technical effects and advantages of a bridge health monitoring and early warning method of the present invention:

[0029] The present invention uses a microseismic monitoring module to capture and analyze microseismic signals caused by rock stratum rupture and stress redistribution changes in real time during coal seam mining. The settlement monitoring module monitors and records the settlement of the surface and different rock layers. The stress monitoring module monitors the stress state in the coal seam and overlying rock. The stress analysis model improves the accuracy of stress state analysis. The groundwater flow monitoring module monitors the groundwater level and flow conditions, and provides data for analyzing the impact of groundwater on stratum desorption development. The data analysis module conducts a comprehensive analysis of microseismic monitoring data, settlement monitoring data, stress monitoring data and groundwater flow monitoring data. By establishing a comprehensive analysis model to describe the relationship between different data, the interaction between various data is considered, and the potential stratum desorption development risk is evaluated in combination with different data. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a structural schematic diagram of a comprehensive monitoring system for abscission layer development based on multi-module collaboration of the present invention;

[0031] Figure 2 This is a microseismic monitoring interface diagram of a comprehensive monitoring system for desorption development based on multi-module collaboration according to the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0033] Example 1

[0034] See also Figure 1 The structural schematic diagram shown is a comprehensive monitoring system for delamination development based on multi-module collaboration, 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 real-time capture and analysis of microseismic signals caused by rock rupture and stress redistribution changes during coal mining; the settlement monitoring module is responsible for monitoring and recording the settlement of the surface and different rock layers, the stress monitoring module is responsible for monitoring the stress state in the coal seam and overlying rock, the groundwater flow monitoring module monitors the groundwater level and flow, and the data analysis module conducts comprehensive analysis of the microseismic monitoring data, settlement monitoring data, stress monitoring data and groundwater flow monitoring data.

[0035] Furthermore, the microseismic monitoring module is responsible for real-time capture and analysis of microseismic signals caused by rock fracture and stress redistribution changes during coal mining, including the following specific contents:

[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. The signal processing unit is responsible for processing the original signal data received from the microseismic sensor. By establishing a signal enhancement technology model, the received original signal data is denoised and nonlinearly enhanced. The formula of the signal enhancement technology model is:

[0037]

[0038] Where: is the enhanced signal data after processing at time k, S(k) is the original microseismic signal data at time k, S(τ) is the original microseismic signal data at time τ, K(k-τ) is the enhanced 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 signal change rate;

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

[0040] Furthermore, the settlement monitoring module is responsible for monitoring and recording the settlement of the ground surface and different rock layers, including the following specific contents:

[0041] The settlement monitoring module includes a settlement magnetic ring assembly, an installation catheter and a settlement monitor. The settlement magnetic ring assembly consists of an anchor hoop assembly, a magnetic induction iron ring and a magnetic ring sleeve. The anchor hoop assembly can stably install the magnetic ring assembly in a complex geological environment and ensure its stable position in different soil and rock layers. The magnetic induction iron ring can sense the magnetic field changes related to settlement, capture the position changes of magnetic markers when the rock layer settles and convert them into electrical signals for transmission. The magnetic ring sleeve protects the magnetic induction iron ring and the anchor hoop assembly from damage. The main function of the installation catheter is to install and recover the magnetic ring assembly. During the installation process, the installation catheter needs to transport the magnetic ring assembly to the predetermined monitoring position. When recovering the magnetic ring assembly, the installation catheter can easily remove the magnetic ring assembly from the monitoring position for maintenance and replacement. Replace or reinstall; the settlement monitor includes a magnetic induction probe, a buzzer and a tape measure with a scale. The magnetic induction probe works based on the principle of electromagnetic induction. By measuring the size of the induced electromotive force, the position change of the magnetic marker is calculated, and then the settlement of the rock formation is obtained; the buzzer is an alarm device of the settlement monitoring module. When the detected settlement exceeds the preset threshold, the buzzer will emit a loud alarm; the tape measure with a scale is an auxiliary measurement tool. When the magnetic induction probe fails or a quick preliminary estimate of the settlement is required, the tape measure with a scale is used for measurement; through the coordinated work of the settlement magnetic ring assembly, the installation catheter and the settlement monitor, the settlement monitoring module can obtain settlement data in real time and transmit these 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 contents:

[0043] The stress monitoring module includes a stress sensor, a data acquisition unit and a data processing unit. The stress sensor captures stress changes inside the rock formation and converts these changes into electrical signals. The data acquisition unit is connected to the stress sensor through a data bus and can continuously obtain stress change information at different sampling frequencies. The data acquisition unit samples data according to a preset time interval to capture the dynamic stress change process inside the rock formation. The data processing unit first removes invalid data caused by equipment noise or external interference through signal filtering, and establishes a stress analysis model based on the feedback of the sensor to help engineers intuitively understand the stress state inside the rock formation. The formula of the stress analysis model is:

[0044]

[0045] Where: σ(x,y,z,t) is the stress value at time t at position (x,y,z), 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 axis coordinates, describing the reference point of stress attenuation, λ is the attenuation constant, indicating the degree of stress attenuation with distance, f(y,z) is a function related to position, indicating the degree of influence of different positions on stress, and f(y,z) satisfies Where z0 is the reference position of the vertical axis, H is the height of the formation, ε is a constant to avoid the denominator being zero, g(t) is a time-dependent function that describes the change of stress with time, and g(t) satisfies g(t) = e -ηt , where η is the time attenuation coefficient, reflecting the weakening of stress over time; the stress monitoring module also sets multiple warning thresholds. When the stress value detected by the sensor exceeds the preset safety threshold, the warning mechanism is automatically triggered.

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

[0047] The groundwater flow monitoring module includes a water level sensor and a flow rate sensor. The water level sensor is based on pressure sensor technology and uses 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 rate 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 flow rate of the groundwater. When the sound waves propagate along the direction of the water flow, due to the drive of the water flow, the wavelength of the sound waves will increase and the frequency will decrease. When the sound waves propagate against the direction of the water flow, the wavelength of the sound waves will become shorter and the frequency will increase. The flow rate of the groundwater can be calculated by monitoring the frequency difference between the emitted and received sound waves.

[0048] Furthermore, the data analysis module conducts a comprehensive analysis of the 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 rupture and stress redistribution. Settlement monitoring data records the settlement of the surface and different rock layers. Stress monitoring data provides information on the stress state in coal seams and overburden. Groundwater flow monitoring data reveals groundwater levels and flow conditions. The data analysis module integrates these data from different monitoring modules, establishes a comprehensive analysis model, and describes the relationship between different data. The formula of the comprehensive analysis model is:

[0050]

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

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

[0053]

[0054] Where: D(x,y,z,t) is the dynamic change value of the abscission layer development at the position (x,y,z) and time t, F(x,y,z,t) is the multi-source data after integrating the microseismic, settlement, stress and groundwater monitoring data at the position (x,y,z) and time t, λ d is the dynamic attenuation constant, which is used to control the attenuation degree of the position effect on the dynamic change. (x1, y1) is the reference position of the horizontal and vertical axes. M(x,y,z,t) is the microseismic monitoring data at the position (x,y,z) at time t. S(x,y,z,t) is the settlement monitoring data at the position (x,y,z) at time t. σ(x,y,z,t) is the stress monitoring data at the position (x,y,z) at time t. W(x,y,z,t) is the groundwater flow at the position (x,y,z) at time t. Dynamic monitoring data, φ is the time attenuation constant, which controls the degree of influence of dynamic changes over time, t1 is the reference time point, when D(x, y, z, t) is greater than the preset risk threshold of delamination development, it means that the risk of delamination development is high, then the mining operation is 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 of delamination development, it means that the risk of delamination development is low, then mining is carried out in the low-risk area according to the established plan to ensure production efficiency, and regular safety inspections and maintenance are carried out.

[0055] Furthermore, 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.

[0056] See also Figure 2The microseismic monitoring interface diagram 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 original signal data collected by the microseismic sensor in real time in the form of icons and numerical values. The interface diagram can intuitively present the changing trend of microseismic signals over time, helping users to quickly understand the dynamic process of microseismic activity inside the rock formation. Users can set the data storage path of the data storage unit in this interface. Users can choose to store data in a specific partition of the local hard disk, or specify the storage location of a remote server.

[0057] The present invention uses a microseismic monitoring module to capture and analyze microseismic signals caused by rock stratum rupture and stress redistribution changes in real time during coal seam mining. The settlement monitoring module monitors and records the settlement of the surface and different rock layers. The stress monitoring module monitors the stress state in the coal seam and overlying rock. The stress analysis model improves the accuracy of stress state analysis. The groundwater flow monitoring module monitors the groundwater level and flow conditions, and provides data for analyzing the impact of groundwater on stratum desorption development. The data analysis module conducts a comprehensive analysis of microseismic monitoring data, settlement monitoring data, stress monitoring data and groundwater flow monitoring data. By establishing a comprehensive analysis model to describe the relationship between different data, the interaction between various data is considered, and the potential stratum desorption development risk is evaluated in combination with different data.

[0058] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0059] Finally: 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 in the protection scope of the present invention.

Claims

1. A comprehensive monitoring system for abscission layer development based on multi-module collaboration, characterized in that: It includes microseismic monitoring module, settlement monitoring module, stress monitoring module, groundwater flow monitoring module and data analysis module. The microseismic monitoring module is responsible for real-time capture and analysis of microseismic signals caused by rock fracture and stress redistribution changes during coal mining; the settlement monitoring module is responsible for monitoring and recording the settlement of the surface and different rock layers, 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 conducts comprehensive analysis on microseismic monitoring data, settlement monitoring data, stress monitoring data and groundwater flow monitoring data, establishes a comprehensive analysis model, and describes the relationship between different data. The formula of the comprehensive analysis model is: Where: F(x,y,z,t) is the multi-source data after the fusion of microseismic, settlement, stress and groundwater monitoring data at the location (x,y,z) and time t, x is the horizontal axis coordinate, y is the vertical axis coordinate, z is the vertical axis coordinate, M(x,y,z,t) is the microseismic monitoring data at the location (x,y,z) and time t, S(x,y,z,t) is the settlement monitoring data at the location (x,y,z) and time t, σ(x,y,z,t) is the stress monitoring data at the location (x,y,z) and time t, W(x,y,z,t) is the groundwater flow monitoring data at the location (x,y,z) and time t, P1 is used to adjust the influence weight of the settlement monitoring data in the comprehensive analysis model, P2 is used to adjust the influence weight of the groundwater flow data in the comprehensive analysis model, and θ is used to control the degree of exponential decay.

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

3. The integrated monitoring system for abscission layer development based on multi-module collaboration according to claim 1 is 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 original signal data received from the microseismic sensor. By establishing a signal enhancement ,technical model, the received original signal data is denoised and nonlinearly enhanced. The formula of the signal enhancement ,technical model is as follows: Where: is the enhanced signal data after processing at time k, S(k) is the original microseismic signal data at time k, S(τ) is the original microseismic signal data at time τ, K(k-τ) is the enhancement kernel function, which provides weighting in the signal field, 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 penalty degree of the signal change rate.

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

5. The integrated monitoring system for abscission layer development based on multi-module collaboration according to claim 3 is characterized in that: The microseismic sensor is an acceleration sensor.

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

7. The integrated monitoring system for abscission layer development based on multi-module collaboration according to claim 3 is characterized in that: The data storage unit uses a solid state hard disk as one of the storage media.

8. The integrated monitoring system for abscission layer development based on multi-module collaboration according to claim 1 is 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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