Temperature shock multi-parameter coupling coal rock permeability effect dynamic detection system

Abstract

The application discloses a coal rock permeability enhancement effect dynamic detection system of temperature impact multi-parameter coupling, and relates to the technical field of material physical property analysis. In the system, a temperature impact module applies temperature impact treatment to a coal rock sample according to temperature impact parameters; a multi-parameter detection module monitors physical parameters of the coal rock sample in real time during the temperature impact treatment process, the physical parameters including temperature parameters, pressure parameters and acoustic parameters; a data acquisition and processing module determines dynamic indexes of the permeability enhancement effect based on the physical parameters and a coupling algorithm; the dynamic indexes include coal rock permeability variation and coal rock crack development degree; a dynamic output module displays the dynamic indexes in real time, compares the dynamic indexes with preset threshold values, generates feedback control signals according to comparison results, and feeds back the feedback control signals to the temperature impact module to dynamically adjust the temperature impact parameters. The application realizes real-time data and dynamic correlation simulation analysis of the temperature, pressure, acoustic multi-field coupling of the coal rock sample and the permeability enhancement effect.

Description

Technical Field

[0001] This application relates to the field of material physical property analysis technology, and in particular to a dynamic detection system for the permeability enhancement effect of coal and rock through multi-parameter coupling of temperature shock. Background Technology

[0002] Coal seam permeability enhancement technology is a core component for ensuring safe and efficient coal mining and the commercial development of coalbed methane resources. However, most coal seams are low-permeability, making gas extraction difficult and inefficient. This not only wastes clean energy but also poses a significant safety hazard, such as gas outbursts and explosions. Traditional permeability enhancement technologies, such as hydraulic fracturing and blasting, are widely used, but they suffer from large engineering workloads, significant disturbance, and substantial environmental impacts. Therefore, developing efficient, precise, and controllable new physical permeability enhancement technologies has become an urgent need for the industry. Among these, inducing cracks in coal and rock masses using temperature shock is a highly promising direction.

[0003] Among related technologies, methods for enhancing coal permeability through temperature shock and their effectiveness evaluation systems have significant shortcomings. Firstly, in the enhancement process, most technologies focus only on the static application of temperature or a single cycle, lacking precise control over multiple parameters such as heating-cooling rates, amplitudes, and cycle counts. This leads to uneven distribution of the thermal-pressure field and unstable enhancement effects. Secondly, in effect detection, static, post-hoc measurements using single parameters are commonly employed, failing to capture the dynamic evolution of coal permeability and fracture network development during temperature shock. There is a lack of an analytical and closed-loop control system that dynamically correlates real-time data from coupled temperature, pressure, and acoustic fields with the enhancement effect.

[0004] In summary, the existing technologies suffer from limitations in both control and detection dimensions. This prevents the uncovering of the intrinsic mechanisms of temperature shock anti-reflection, and makes online optimization and precise control of the anti-reflection process even more difficult. Therefore, there is an urgent need for a system that integrates multi-parameter coupled control, dynamic detection, and intelligent feedback to overcome these technical bottlenecks. Summary of the Invention

[0005] The purpose of this application is to provide a dynamic detection system for the permeability enhancement effect of coal and rock based on temperature shock multi-parameter coupling, so as to realize the simulation analysis of the dynamic correlation between real-time data of temperature, pressure and acoustic multi-field coupling of coal and rock samples and the permeability enhancement effect.

[0006] To achieve the above objectives, this application provides the following solution.

[0007] This application provides a dynamic detection system for the permeability enhancement effect of coal and rock based on temperature shock and multi-parameter coupling, comprising: a temperature shock module, a multi-parameter detection module, a data acquisition and processing module, and a dynamic output module; the multi-parameter detection module and the data acquisition and processing module are connected, and the dynamic output module is connected to both the temperature shock module and the data acquisition and processing module.

[0008] The temperature shock module is used to apply temperature shock treatment to the coal and rock sample according to the temperature shock parameters; the temperature shock parameters include at least one of setting the temperature shock amplitude, setting the rate, and setting the cycle period; the temperature shock treatment includes rapid heating treatment and rapid cooling treatment.

[0009] The multi-parameter detection module is used to monitor the physical parameters of the coal and rock samples in real time during the temperature shock treatment process. The physical parameters include temperature parameters, pressure parameters and acoustic parameters.

[0010] The data acquisition and processing module is used to determine dynamic indicators to characterize the permeability enhancement effect of coal and rock samples based on the physical parameters and coupling algorithm; the dynamic indicators include: changes in coal and rock permeability and the degree of development of coal and rock fractures;

[0011] The dynamic output module is used to display dynamic indicators in real time, compare the dynamic indicators with preset thresholds, generate feedback control signals based on the comparison results, and feed them back to the temperature shock module to dynamically adjust the temperature shock parameters.

[0012] In one embodiment, the temperature shock module includes: a heating unit, a cooling unit, and a temperature shock control unit; both the heating unit and the cooling unit are connected to the temperature shock control unit.

[0013] The temperature shock control unit is used for:

[0014] By adjusting the power of the heating unit, the heating unit can rapidly heat the coal and rock sample according to the temperature shock parameters;

[0015] By adjusting the flow rate of the cooling unit, the cooling unit can rapidly cool the coal and rock sample according to the temperature impact parameters.

[0016] In one embodiment, the heating unit includes a resistance heater.

[0017] In one embodiment, the cooling unit includes a circulating refrigerant system.

[0018] In one embodiment, the multi-parameter detection module includes: a temperature sensor array, a pressure sensor array, and an acoustic emission sensor;

[0019] The temperature sensor array is deployed at pre-set holes on the surface and inside of the coal and rock sample to monitor the real-time temperature of the coal and rock sample under temperature shock and obtain temperature parameters.

[0020] The pressure sensor array is deployed in the pores and fractures of the coal and rock sample to monitor changes in the internal pore pressure of the coal and rock sample and obtain pressure parameters.

[0021] The acoustic emission sensor is attached to the surface of the coal and rock sample to capture the elastic wave signal released when the coal and rock sample generates microcracks under thermal stress, thereby obtaining acoustic parameters.

[0022] In one embodiment, the data acquisition and processing module includes: a data acquisition unit and a coupling analysis unit; the multi-parameter detection module, the data acquisition unit, and the coupling analysis unit are connected in sequence.

[0023] The data acquisition unit is used to receive the physical parameters and perform analog-to-digital conversion on the physical parameters to obtain the converted physical parameters.

[0024] The coupling analysis unit is used to determine the changes in coal and rock permeability and the degree of coal and rock fracture development using the physical parameters after analog-to-digital conversion and the coupling algorithm.

[0025] In one embodiment, the coupling algorithm includes a first coupling calculation formula and a second coupling calculation formula;

[0026] The first coupling calculation formula is:

[0027] ;

[0028] in, This refers to changes in coal and rock permeability. The weights for the influence of temperature parameters on changes in coal and rock permeability; These are the temperature parameters after analog-to-digital conversion; The weights of the influence of pressure parameters on changes in coal and rock permeability; These are the pressure parameters after analog-to-digital conversion;

[0029] The second coupling calculation formula is:

[0030] ;

[0031] in, The degree of development of coal and rock fractures; This is a weighting coefficient representing the degree of development of coal and rock fractures; This represents the gradient of temperature parameters after analog-to-digital conversion.

[0032] In one embodiment, the dynamic output module includes a display unit and a feedback control unit;

[0033] The display unit is used to display dynamic indicators in real time;

[0034] The feedback control unit is used to compare dynamic indicators with preset thresholds, generate feedback control signals based on the comparison results, and feed them back to the temperature shock module to dynamically adjust the temperature shock parameters.

[0035] In one embodiment, the dynamic detection system for the coal and rock permeability enhancement effect coupled by temperature shock multi-parameter coupling further includes: a communication module; the multi-parameter detection module, the data acquisition and processing module, and the remote monitoring terminal are all connected to the communication module;

[0036] The communication module is used to transmit the physical parameters, the changes in coal and rock permeability, and the degree of development of coal and rock fractures to the remote monitoring terminal.

[0037] In one embodiment, the dynamic detection system for the coal and rock permeability enhancement effect coupled by temperature shock multi-parameter coupling further includes: a storage module; the multi-parameter detection module and the data acquisition and processing module are both connected to the storage module;

[0038] The storage module is used to store physical parameters, changes in coal and rock permeability, and the degree of development of coal and rock fractures.

[0039] According to the specific embodiments provided in this application, the following technical effects are disclosed:

[0040] This application discloses a dynamic detection system for the permeability enhancement effect of coal and rock based on temperature shock and multi-parameter coupling. By introducing a collaborative working mechanism between the temperature shock module and the multi-parameter detection module, a dynamic physical field coupled sensing system is constructed. The rapid temperature rise and fall applied by the temperature shock module induces unsteady thermal stress inside the coal and rock. This stress is the direct driving force for the shrinkage of the coal and rock matrix and the initiation and propagation of microcracks. The nucleation, propagation, and connection of cracks release elastic waves, which manifest as acoustic emission signals. The coupling algorithm built into the data acquisition and processing module establishes a dynamic correlation between temperature, pressure, and acoustics. This enables the system to analyze the complete causal chain of thermal drive, stress response, and structural damage from the physical signals. The evolution of permeability inside the coal and rock, the density and velocity of the crack network are intuitively displayed through dynamic indicators, realizing the effect evaluation of the permeability enhancement process from superficial monitoring to mechanistic insight. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of a dynamic detection system for the coal and rock permeability enhancement effect based on multi-parameter coupling of temperature shock, provided in an embodiment of this application.

[0043] Figure 2 A schematic diagram of a dynamic detection method for the permeability enhancement effect of coal and rock through multi-parameter coupling of temperature shock;

[0044] Figure 3 A schematic diagram of the operation process of a dynamic detection system for the permeability enhancement effect of coal and rock based on multi-parameter coupling of temperature shock. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] The purpose of this application is to provide a dynamic detection system for the permeability enhancement effect of coal and rock based on temperature shock multi-parameter coupling, which aims to realize the analysis of the dynamic correlation between real-time data of temperature, pressure, and acoustic multi-field coupling of coal and rock samples and the permeability enhancement effect.

[0047] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] In one exemplary embodiment, such as Figure 1 As shown, a dynamic detection system for the permeability enhancement effect of coal and rock based on temperature shock multi-parameter coupling is provided, including: a temperature shock module, a multi-parameter detection module, a data acquisition and processing module, and a dynamic output module; the multi-parameter detection module and the data acquisition and processing module are connected, and the dynamic output module is connected to both the temperature shock module and the data acquisition and processing module.

[0049] The temperature shock module is used to apply temperature shock treatment to coal and rock samples according to temperature shock parameters. The temperature shock parameters include at least one of setting the temperature shock amplitude, setting the rate, and setting the cycle period. The temperature shock treatment includes rapid heating treatment and rapid cooling treatment.

[0050] Specifically, controlled temperature shock treatment is applied to coal and rock samples to induce microcracks inside the coal and rock and enhance its permeability.

[0051] The multi-parameter detection module is used to monitor the physical parameters of coal and rock samples in real time during the temperature shock treatment process. The physical parameters include temperature parameters, pressure parameters, and acoustic parameters.

[0052] The data acquisition and processing module is used to determine dynamic indicators that characterize the permeability enhancement effect of coal and rock samples based on physical parameters and coupled algorithms. The dynamic indicators include changes in coal and rock permeability and the degree of development of coal and rock fractures.

[0053] The dynamic output module is used to display dynamic indicators in real time, compare the dynamic indicators with preset thresholds, generate feedback control signals based on the comparison results, and feed them back to the temperature shock module to dynamically adjust the temperature shock parameters.

[0054] As an optional implementation, the temperature shock module includes: a heating unit, a cooling unit, and a temperature shock control unit; both the heating unit and the cooling unit are connected to the temperature shock control unit.

[0055] Temperature shock control unit, used for:

[0056] By adjusting the power of the heating unit, the heating unit can rapidly heat the coal and rock sample according to the temperature shock parameters.

[0057] By adjusting the flow rate of the cooling unit, the coal and rock samples are rapidly cooled according to the temperature impact parameters.

[0058] Specifically, the temperature shock control unit is implemented by a programmable logic controller (PLC). Based on the preset temperature shock program and real-time instructions from the dynamic output module, it precisely adjusts the input power of the heating unit (thus controlling the heating rate and target temperature) and the opening degree of the solenoid valve in the cooling unit (thus controlling the liquid nitrogen flow rate and cooling rate). A complete basic temperature shock cycle can be set as follows: heating stage, holding stage, and cooling stage. This cycle can be repeated multiple times as needed.

[0059] As an alternative implementation, the heating unit includes a resistance heater.

[0060] Specifically, the heating surface of the resistance heater is tightly bonded to the upper surface of the coal and rock sample through high-temperature resistant thermally conductive silicone to ensure efficient heat conduction. Under the command of the temperature shock control unit, the heating unit can rapidly raise the surface temperature of the coal and rock sample from room temperature to a maximum of 300°C within 60 seconds.

[0061] As an alternative implementation, the cooling unit includes a circulating refrigerant system.

[0062] Specifically, the evaporator coil of the circulating refrigerant system is tightly fitted to the lower surface of the coal and rock sample. Using liquid nitrogen as the refrigerant medium, it can reduce the surface temperature of the coal and rock sample, which has undergone high-temperature impact, from 300°C to -50°C within 30 seconds. This rapid temperature change is used to generate thermal stress sufficient to cause the coal and rock to fracture.

[0063] As an optional implementation, the multi-parameter detection module includes: a temperature sensor array, a pressure sensor array, and an acoustic emission sensor.

[0064] A temperature sensor array is deployed at pre-set holes on the surface and inside of the coal and rock sample to monitor the real-time temperature of the coal and rock sample under temperature shock and obtain temperature parameters.

[0065] Specifically, a temperature sensor array is pre-embedded at different depths inside the coal and rock sample, and several measuring points are also evenly distributed on the sample surface to monitor and output the temperature distribution data of the coal and rock in space in real time, i.e., temperature parameters. Temperature parameters not only reflect the effect of temperature shock, but also form the basis for calculating temperature gradient.

[0066] A pressure sensor array is deployed in the pores and fissures of coal and rock samples to monitor changes in the internal pore pressure of the coal and rock samples and obtain pressure parameters.

[0067] Specifically, the pressure sensor array uses a miniature fiber Bragg grating pressure sensor. The pressure sensor array is implanted in the micro-holes pre-drilled in the coal and rock sample, directly contacting the pores and fractures of the coal and rock. It can sense the changes in pore pressure caused by gas / liquid expansion, phase change and fracture opening and closing due to temperature changes, and output pressure parameters.

[0068] An acoustic emission sensor is attached to the surface of a coal and rock sample to capture the elastic wave signal released when microcracks are generated in the coal and rock sample under thermal stress, thereby obtaining acoustic parameters.

[0069] Specifically, the acoustic emission sensor uses a broadband piezoelectric acoustic emission sensor, which is tightly attached to the side of the coal and rock sample with a coupling agent. It is used to capture the elastic wave signals released when microcracks are generated and cracks are propagated under thermal stress. After processing, the acquired raw waveform signals are used to extract features such as acoustic emission event rate, energy and amplitude. These features are collectively referred to as acoustic parameters, which are used to characterize the crack activity.

[0070] As an optional implementation, the data acquisition and processing module includes: a data acquisition unit and a coupling analysis unit; the multi-parameter detection module, the data acquisition unit, and the coupling analysis unit are connected in sequence.

[0071] The data acquisition unit is used to receive physical parameters and perform analog-to-digital conversion on the physical parameters to obtain the converted physical parameters.

[0072] Specifically, the data acquisition unit uses a multi-channel synchronous data acquisition card to synchronously receive analog signals from the temperature sensor array, pressure sensor array, and acoustic emission sensor at a sampling frequency of no less than 1kHz. It then performs analog-to-digital conversion to generate synchronous, timestamped temperature data sequences, pressure data sequences, and acoustic emission data sequences. This synchronization ensures that the temporal correlation between different physical quantities is accurate (i.e., the physical parameters after analog-to-digital conversion).

[0073] The coupling analysis unit is used to determine the changes in coal and rock permeability and the degree of coal and rock fracture development by using the physical parameters after analog-to-digital conversion and the coupling algorithm.

[0074] As an optional implementation, the coupling algorithm includes a first coupling calculation formula and a second coupling calculation formula;

[0075] The first coupling calculation formula is:

[0076] ;

[0077] in, This refers to changes in coal and rock permeability. The weights for the influence of temperature parameters on changes in coal and rock permeability; These are the temperature parameters after analog-to-digital conversion; The weights of the influence of pressure parameters on changes in coal and rock permeability; These are the pressure parameters after analog-to-digital conversion;

[0078] The second coupling calculation formula is:

[0079] ;

[0080] in, The degree of development of coal and rock fractures; This is a weighting coefficient representing the degree of development of coal and rock fractures; This represents the gradient of temperature parameters after analog-to-digital conversion.

[0081] Specifically, in the first coupling calculation formula, the two key fields of temperature and pressure are coupled, and its output value... It shows a good positive correlation with the equivalent permeability of coal and rock. In the second coupled calculation formula, acoustic activity is coupled with the intensity of temperature shock. A higher value indicates that the internal fracture network of coal and rock is in a rapid expansion and active stage. These two dynamic indicators together constitute a quantitative and real-time core indicator system for evaluating the permeability enhancement effect.

[0082] As an optional implementation, the dynamic output module includes a display unit and a feedback control unit.

[0083] The display unit is used to display dynamic indicators in real time.

[0084] Specifically, the display unit is an LCD screen that displays dynamic indicators in real time, presenting the anti-reflection effect trend in the form of curves and numerical values.

[0085] The feedback control unit is used to compare dynamic indicators with preset thresholds, generate feedback control signals based on the comparison results, and feed them back to the temperature shock module to dynamically adjust the temperature shock parameters.

[0086] Specifically, the feedback control unit is a PLC controller. Simultaneously, the original temperature, pressure, and acoustic curves are also displayed, providing operators with a comprehensive understanding of the system status. For example, When the curve shows a sharp peak, the operator can visually determine that severe crack development is occurring inside the coal and rock. The feedback control unit, implemented by the control program within the PLC, continuously feeds the calculated data... and Compared with the preset target threshold, if the system runs for t years, When the growth rate slows down and remains below the threshold of 0.8, the feedback control unit generates a control signal, which is fed back to the temperature shock control unit of the temperature shock module, instructing it to adjust its operating parameters. Through this closed-loop feedback, the system can automatically find the optimal temperature shock process for the specific coal rock, thereby dynamically maximizing the permeability enhancement effect.

[0087] As an optional implementation, the dynamic detection system for the coal and rock permeability enhancement effect coupled by temperature shock also includes: a communication module; the multi-parameter detection module, the data acquisition and processing module, and the remote monitoring terminal are all connected to the communication module.

[0088] The communication module is used to transmit physical parameters, changes in coal and rock permeability, and the degree of development of coal and rock fractures to the remote monitoring terminal.

[0089] The communication module also receives control commands from the remote monitoring terminal, which are used to remotely configure and update the temperature shock parameters of the temperature shock module and the parameters of the coupling algorithm of the data acquisition and processing module.

[0090] As an optional implementation, the dynamic detection system for the coal and rock permeability enhancement effect coupled with temperature shock also includes: a storage module; the multi-parameter detection module and the data acquisition and processing module are both connected to the storage module.

[0091] The storage module is used to store physical parameters, changes in coal and rock permeability, and the degree of development of coal and rock fractures.

[0092] Specifically, the storage module also pre-stores a standard parameter library for different coal and rock types. This library includes weighting coefficients and temperature shock parameters corresponding to each coal and rock type, which are called by the data acquisition and processing module and the temperature shock module during initialization. The storage module is implemented using a solid-state drive and serves two main functions: first, as a high-speed buffer, temporarily caching massive amounts of real-time raw sensor data to ensure data integrity during network fluctuations; and second, as a historical database, persistently storing all raw data, processed dynamic indicators, system operation logs, and snapshots of key events. Furthermore, the storage module includes a pre-built standard parameter library containing optimal parameter sets derived from experiments on coal and rock samples from different mining areas and with different coal qualities, such as recommended temperature shock procedures and weighting coefficients. During system initialization, the operator can select the corresponding coal and rock type, and the system will automatically call the relevant parameters, greatly improving ease of use and accuracy.

[0093] like Figure 2 As shown, the method for dynamically detecting the permeability enhancement effect of coal and rock using a multi-parameter coupled temperature shock system includes the following steps:

[0094] S100: Apply temperature shock to coal and rock through the temperature shock module, including heating and cooling stages, to induce changes in the coal and rock structure.

[0095] S200 monitors temperature, pressure and acoustic parameters in real time through a multi-parameter detection module;

[0096] S300: The temperature, pressure and acoustic parameters are coupled and analyzed by the data acquisition and processing module. The coupling algorithm is used to calculate the first dynamic index and the second dynamic index. The first dynamic index is the change in coal and rock permeability, and the second dynamic index is the degree of coal and rock fracture development.

[0097] S400: The first dynamic indicator and the second dynamic indicator are displayed in real time through the dynamic output module, and the temperature shock module is controlled according to the indicator feedback to adjust the temperature shock parameters.

[0098] The S500, through the collaborative work of the communication module and the storage module, forms a data hub with remote access and data analysis capabilities.

[0099] In summary, the internal data flow and control flow of the system in this application follow a highly coordinated automated process, specifically, as follows: Figure 3 As shown, the operation procedure of this system for dynamic detection of the coal and rock permeability enhancement effect by multi-parameter coupling of temperature shock is as follows.

[0100] (1) System initialization and parameter preset:

[0101] Install coal and rock samples: Fix the standard coal and rock samples to be tested inside the testing chamber;

[0102] Sensor calibration: Inspect and verify the temperature sensor array, pressure sensor array, and acoustic emission sensor;

[0103] Calling standard parameters: The operator selects the coal and rock type through the human-machine interface, and the system automatically calls the optimal parameter set corresponding to that type of coal and rock from the standard parameter library of the storage module, including but not limited to: the initial temperature impact program, the weight coefficient in the coupling algorithm, and the preset target threshold of the dynamic index.

[0104] (2) Execute the initial temperature shock procedure:

[0105] Initiating the shock cycle: The dynamic output module sends a start command to the temperature shock module;

[0106] Rapid heating phase: The heating unit starts up and rapidly heats the coal and rock sample according to the preset power until the target temperature is reached;

[0107] Insulation stage: After reaching the target temperature, the system enters the insulation stage, which allows heat to be fully conducted into the coal and rock to ensure the formation of a uniform temperature field;

[0108] Rapid cooling phase: After the heat preservation is completed, the cooling unit is started and the circulating refrigerant system starts to work, rapidly cooling the coal and rock sample until it is reduced to the target low temperature. This heating, heat preservation and cooling process constitutes a complete temperature shock.

[0109] (3) Real-time monitoring of multiple parameters synchronously:

[0110] Throughout the temperature shock process, the multi-parameter detection module simultaneously performs the following tasks:

[0111] Temperature field monitoring: Temperature sensor arrays deployed on and inside the coal and rock surface continuously collect spatial temperature data and generate temperature parameters and their variation gradients;

[0112] Pore ​​pressure monitoring: A pressure sensor array implanted inside the coal and rock senses changes in pore pressure in real time caused by thermal expansion and contraction and the opening and closing of cracks, and generates pressure parameters.

[0113] Acoustic emission signal capture: Acoustic emission sensors attached to the surface of coal and rock continuously listen to and record the elastic wave signals released by the microcracks generated and expanded by the coal and rock under thermal stress, and generate acoustic parameters.

[0114] (4) Data synchronous acquisition and coupled analysis:

[0115] Synchronous acquisition and conversion: The data acquisition unit synchronously receives analog signals from all sensors at a high sampling frequency and converts them into synchronized temperature data sequences, pressure data sequences, and acoustic emission data sequences;

[0116] Calculate dynamic indicators: The coupling analysis unit receives the above three data streams in real time and runs the coupling algorithm;

[0117] By substituting temperature and pressure parameters into the coupling algorithm, the first dynamic index is calculated, which quantitatively characterizes the relative trend of current coal and rock permeability.

[0118] By substituting acoustic parameters and temperature change gradients into the coupling algorithm, a second dynamic index is calculated, which quantitatively characterizes the development density and activity of internal fractures in coal and rock.

[0119] (5) Dynamic visualization and intelligent decision-making:

[0120] Visualization of effects: The display unit of the dynamic output module presents the calculated first and second dynamic indicators to the operator in the form of real-time trend curves. It can also display the original physical parameter curves, realizing full-process transparent monitoring of the anti-reflection effect.

[0121] Effect evaluation and decision-making: The control unit compares the first dynamic index and the second dynamic index calculated in real time with the target threshold preset in step (1);

[0122] Judgment condition 1: If both the first dynamic indicator and the second dynamic indicator reach or exceed the target threshold, the system determines that the current anti-reflection effect is satisfactory, and the system can continue the process or stop the operation according to the original procedure.

[0123] Judgment condition two: If the first dynamic indicator and the second dynamic indicator are lower than the target threshold, or the growth trend slows down, the control unit will immediately generate a feedback control signal.

[0124] (6) Closed-loop feedback and process optimization:

[0125] Parameter adjustment: This step is only performed when condition two is triggered, and the feedback control signal issued by the control unit is sent to the temperature shock module;

[0126] Optimized execution: The temperature shock module automatically adjusts its operating parameters based on the received instructions.

[0127] (7) Remote data transmission, storage, and archiving:

[0128] Remote monitoring: Throughout the process, the communication module transmits key dynamic indicators, system status, and alarm information to the remote monitoring center in real time, enabling remote monitoring from the ground.

[0129] Data archiving: The storage module works synchronously, acting as a high-speed cache to ensure that data is not lost, and persistently storing complete original data sequences, dynamic indicator history, system operation logs, and other data for subsequent in-depth analysis and report generation.

[0130] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0131] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A coal rock permeability effect dynamic detection system of temperature shock multi-parameter coupling, characterized in that, The temperature impact multi-parameter coupling coal rock permeability effect dynamic detection system comprises a temperature impact module, a multi-parameter detection module, a data acquisition and processing module and a dynamic output module; the multi-parameter detection module and the data acquisition and processing module are connected, and the dynamic output module is connected with the temperature impact module and the data acquisition and processing module respectively; The temperature impact module is used for applying temperature impact treatment to the coal rock sample according to temperature impact parameters; the temperature impact parameters include at least one of a set temperature impact amplitude, a set rate and a set cycle period; the temperature impact treatment includes rapid heating treatment and rapid cooling treatment; The multi-parameter detection module is used for monitoring physical parameters of the coal rock sample in real time during the temperature impact treatment, and the physical parameters include temperature parameters, pressure parameters and acoustic parameters; The data acquisition and processing module is used for determining dynamic indexes for characterizing the permeability effect of the coal rock sample based on the physical parameters and a coupling algorithm; the dynamic indexes include coal rock permeability variation and coal rock crack development degree; The dynamic output module is used for displaying the dynamic indexes in real time, comparing the dynamic indexes with preset threshold values, generating feedback control signals according to comparison results and feeding back the feedback control signals to the temperature impact module to dynamically adjust the temperature impact parameters; The data acquisition and processing module comprises a data acquisition unit and a coupling analysis unit; the multi-parameter detection module, the data acquisition unit and the coupling analysis unit are connected in sequence; The data acquisition unit is used for receiving the physical parameters and performing analog-digital conversion on the physical parameters to obtain the physical parameters after analog-digital conversion; The coupling analysis unit is used for determining the coal rock permeability variation and the coal rock crack development degree by using the physical parameters after analog-digital conversion and the coupling algorithm; The coupling algorithm comprises a first coupling calculation formula and a second coupling calculation formula; The first coupling calculation formula is as follows: ； wherein, is a coal rock permeability change; is a temperature parameter influence weight on the coal rock permeability change; is a temperature parameter after analog-to-digital conversion; is a pressure parameter influence weight on the coal rock permeability change; is a pressure parameter after analog-to-digital conversion; The second coupling calculation formula is as follows: ； wherein, is a coal rock fracture development degree; is a weight coefficient of the coal rock fracture development degree; is a change gradient of the temperature parameter after analog-to-digital conversion.

2. The coal rock de-glaring effect dynamic detection system of temperature shock multi-parameter coupling according to claim 1, characterized in that, The temperature impact module comprises a heating unit, a cooling unit and a temperature impact control unit; the heating unit and the cooling unit are connected with the temperature impact control unit; The temperature impact control unit is used for: adjusting the power of the heating unit so that the heating unit performs rapid heating treatment on the coal rock sample according to the temperature impact parameters; adjusting the flow of the cooling unit so that the cooling unit performs rapid cooling treatment on the coal rock sample according to the temperature impact parameters.

3. The coal rock permeability effect dynamic detection system of temperature shock multi-parameter coupling according to claim 2, characterized in that, The heating unit comprises an electric resistance heater.

4. The coal rock permeability effect dynamic detection system of temperature shock multi-parameter coupling according to claim 2, characterized in that, The cooling unit comprises a circulating refrigerant system.

5. The coal rock permeability effect dynamic detection system of temperature shock multi-parameter coupling according to claim 1, characterized in that, The multi-parameter detection module comprises a temperature sensor array, a pressure sensor array and an acoustic emission sensor; The temperature sensor array is arranged on the surface and the internal preset hole position of the coal rock sample and is used for monitoring the real-time temperature of the coal rock sample under temperature impact to obtain the temperature parameters; The pressure sensor array is arranged in the pore and the crack of the coal rock sample and is used for monitoring the change of the internal pore pressure of the coal rock sample to obtain the pressure parameters; The acoustic emission sensor is attached to the surface of the coal rock sample and is used to capture the elastic wave signals released by the coal rock sample when micro-cracks are generated under thermal stress to obtain acoustic parameters.

6. The coal rock de-glaring effect dynamic detection system of temperature impact multi-parameter coupling according to claim 1, characterized in that, The dynamic output module comprises a display unit and a feedback control unit. The display unit is used to display the dynamic indicators in real time. The feedback control unit is used to compare the dynamic indicators with preset threshold values, generate feedback control signals according to the comparison results, and feed back to the temperature impact module to dynamically adjust the temperature impact parameters.

7. The coal rock permeability effect dynamic detection system of temperature shock multi-parameter coupling according to claim 1, characterized in that, The temperature impact multi-parameter coupled coal rock permeability enhancement effect dynamic detection system further comprises a communication module; the multi-parameter detection module, the data acquisition and processing module and the remote monitoring terminal are connected with the communication module; The communication module is used to transmit the physical parameters, the coal rock permeability change and the coal rock crack development degree to the remote monitoring terminal.

8. The coal rock de-glaring effect dynamic detection system of temperature impact multi-parameter coupling according to claim 1, characterized in that, The temperature impact multi-parameter coupled coal rock permeability enhancement effect dynamic detection system further comprises a storage module; the multi-parameter detection module and the data acquisition and processing module are connected with the storage module; The storage module is used to store the physical parameters, the coal rock permeability change and the coal rock crack development degree.

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