A wind water pumping conversion device and its adaptive drilling method

Abstract

The invention relates to a kind of air and water pumping conversion device and its adaptive drilling method, including coaxial nesting device and adaptive control device, one end of coaxial nesting device is equipped with gas extraction hose, high-pressure water supply hose and high-pressure air supply hose, the other end is connected with coaxial nesting drill rod, coaxial nesting drill rod is connected with drill bit, and coaxial nesting device is connected with adaptive control device;Coaxial nesting device includes outer cylinder, three layers of pipes are arranged in outer cylinder, which are water supply channel, air supply channel and extraction pipeline arranged coaxially from outside to inside, the end of water supply channel is connected with high-pressure water supply hose;The end of air supply channel is connected with high-pressure air supply hose;The end of extraction pipeline is connected with gas extraction hose.The invention realizes multi-system integration by coaxial nesting channel design, dynamically switches power mode and gas extraction strategy by combining BP neural network model and real-time sensor data, and solves the problems of low efficiency, poor safety and insufficient adaptability in prior art.

Description

Technical Field

[0001] This invention relates to the field of mine gas control technology, and in particular to a ventilation-water extraction conversion device and its adaptive drilling method, which is applicable to the construction of gas extraction boreholes in deep mines and can achieve efficient slag removal, precise gas extraction, and intelligent drilling control under complex geological conditions. Background Technology

[0002] Currently, some mines in my country have entered the deep mining stage. With the gradual increase in coal mining depth, the prevention and control of mine gas disasters faces serious challenges. Drilling and drainage is currently the main method of gas control, involving drilling holes in the coal seam and then extracting the gas to achieve efficient gas management. However, since most gas is located in geologically anomalous areas such as faults and tectonic structures, the gas content within the borehole is variable and difficult to predict under tectonic stress. Therefore, during drilling operations, it is crucial to monitor the status of the drilling tools in real time, monitor the borehole bottom environment, and respond promptly to abnormal situations such as gas outbursts, ensuring that the gas within the borehole can be extracted and controlled at any time. Existing ventilation and water-cooled drilling equipment has the following problems:

[0003] (1) Multi-system separate design: Traditional equipment requires independent configuration of air supply, water supply and extraction pipelines, which is redundant and has low switching efficiency, resulting in a longer construction period;

[0004] (2) Frequent manual intervention: Existing equipment requires manual disassembly of pipelines to switch operating conditions. The mode switching is time-consuming and can easily delay the work process and the opportunity for emergency response, especially when there is a sudden change in gas flow or coal and rock conditions, which poses a safety hazard.

[0005] (3) Insufficient slag removal and pressure control: A single power mode (hydraulic or wind power) is difficult to adapt to alternating coal and rock formations, resulting in low slag removal efficiency and large pressure fluctuations in the borehole, which can easily lead to stuck drill or gas outburst.

[0006] (4) Low level of intelligence: Existing technologies lack real-time working condition perception and adaptive decision-making capabilities, and cannot dynamically adjust drilling parameters according to the bottom environment, making it difficult to meet the complex working conditions of gas prevention and control in deep mines.

[0007] Therefore, there is an urgent need for an automatic switching device for ventilation and water extraction and an adaptive drilling method based on real-time working condition perception to meet the complex needs of gas extraction in deep mines. Summary of the Invention

[0008] The purpose of this invention is to overcome the above-mentioned shortcomings and provide a wind-water extraction conversion device and its adaptive drilling method. It achieves multi-system integration through coaxial nested flow channel design, and dynamically switches between power mode and gas extraction strategy by combining BP neural network model and real-time sensor data, thereby solving the problems of low efficiency, poor safety and insufficient adaptability in the prior art.

[0009] The object of the present invention is achieved as follows:

[0010] A feng shui extraction conversion device includes a coaxial nesting device and an adaptive control device. One end of the outer wall of the coaxial nesting device is provided with a gas drainage rubber hose, a high-pressure water supply rubber hose, and a high-pressure air supply rubber hose. The other end of the coaxial nesting device is connected to a coaxial nesting drill pipe, and the coaxial nesting drill pipe is connected to a drill bit. The coaxial nesting device is connected to the adaptive control device;

[0011] The coaxial nesting device includes an outer cylinder body. There are three layers of pipelines inside the outer cylinder body, namely a water supply flow channel, an air supply flow channel, and a drainage pipeline, which are coaxially arranged from outside to inside. The end of the water supply flow channel is connected to the high-pressure water supply rubber hose; the end of the air supply flow channel is connected to the high-pressure air supply rubber hose; the end of the drainage pipeline is connected to the gas drainage rubber hose;

[0012] The inner wall of the water supply flow channel is provided with a flow velocity monitoring sensor, the inner wall of the air supply flow channel is provided with a wind speed monitoring sensor, and the inner wall of the drainage pipeline is provided with a gas monitoring sensor to transmit gas content and gas pressure data in real time; the flow velocity monitoring sensor, the wind speed monitoring sensor, and the gas monitoring sensor are respectively independently connected to the adaptive control device through data transmission optical fibers;

[0013] The adaptive control device includes a first acquisition module, a second acquisition module, a third analysis module, and a fourth determination module. The first acquisition module and the second acquisition module are respectively connected to the third analysis module, and the third analysis module is connected to the fourth determination module;

[0014] The first acquisition module includes a stress sensor, an azimuth sensor, and a temperature sensor. The first acquisition module is arranged inside the coaxial nesting drill pipe supporting the coaxial nesting device to transmit the drill bit rotation speed, drill bit torque, and determine the drilling depth data in real time; the first acquisition module is connected to the third analysis module through a data transmission optical fiber; the second acquisition module is used for preparatory work in advance, and manual testing of physical property parameters and input of corresponding data are adopted to form the second acquisition module; the third analysis module adopts an analysis system based on a BP neural network model; the third analysis module and the fourth determination module are arranged inside the adaptive control device.

[0015] Furthermore, a support assembly is arranged between the adjacent pipe walls of the water supply flow channel, the air supply flow channel, and the drainage pipeline for fixed support to prevent the flow channel / pipeline from shifting.

[0016] Furthermore, the support assembly includes at least four groups of brackets. Each group of brackets is arranged along the same axis inside the water supply flow channel and the air supply flow channel, and the four groups of brackets are arranged in a cross-like shape inside the outer cylinder body.

[0017] Furthermore, the end of the water supply channel is provided with two single-port water supply interfaces distributed vertically, and the single-port water supply interfaces are connected to high-pressure water supply hoses;

[0018] The end of the air supply channel is provided with two air supply single-pass interfaces distributed vertically, and the air supply single-pass interfaces are connected to the high-pressure air supply hose.

[0019] The end of the extraction pipeline is connected to a gas extraction hose via a gas extraction valve.

[0020] Furthermore, the flow velocity monitoring sensor is fixed inside the water supply channel near the support; the wind speed monitoring sensor is fixed inside the air supply channel near the support; the gas monitoring sensor is fixed inside the extraction pipeline near the support; and the data transmission optical fibers used to connect the flow velocity monitoring sensor, wind speed monitoring sensor, and gas monitoring sensor are all wrapped with insulating material.

[0021] Furthermore, the stress sensor and orientation sensor are both explosion-proof piezoelectric accelerometers with a frequency range of 0.5Hz-1.5kHz, a voltage sensitivity of 0.5V / g, and a maximum range of 10g; the temperature sensor is an explosion-proof capacitive sensor.

[0022] Furthermore, the coaxial nested drill rod is a non-magnetic drill rod. The inner wall of one end of the coaxial nested drill rod is provided with an internal thread, and the outer wall of the other end is provided with an external thread. The external thread and the internal thread are matched accordingly, which facilitates the threaded connection of the beginning and end of the coaxial nested drill rod. The end of the outer cylinder of the coaxial nesting device is provided with an external thread that matches the internal thread of the coaxial nested drill rod. The coaxial nesting device is threadedly connected to the coaxial nested drill rod.

[0023] Furthermore, the analysis system based on the BP neural network model in the third analysis module establishes an original database by combining rock drilling data, coal seam drilling data, and coal-rock combination (rock-coal-rock) drilling data in a ratio of 1:1:3, with a training set to test set ratio of 8:1 and 2000 iterations, and performs model training in advance.

[0024] An adaptive drilling method for a wind-water pumping conversion device, based on the aforementioned wind-water pumping conversion device, is characterized by comprising the following:

[0025] S1. Preliminary work;

[0026] Pre-determine the drilling location, obtain process parameters such as drilling depth and drilling angle, and sample and measure the physical properties of coal and rock in the working area;

[0027] S2, Device assembly;

[0028] Fix the coaxial nesting device to the matching drilling rig, and connect the gas extraction hose, high-pressure water supply hose, high-pressure air supply hose and adaptive control device respectively, and connect them to the high-pressure water supply, air supply and gas extraction system respectively.

[0029] S3, Sensor calibration;

[0030] The gas extraction function is activated by an adaptive control device to verify the flow rate, wind speed and gas sensor data to ensure that the air tightness meets the standard.

[0031] Observe the changes in the negative pressure gauge reading. If the reading does not change, it proves that the airtightness is good. Otherwise, it proves that the connection of the coaxial nesting device needs to be checked to see if it is tight.

[0032] S4, Drill bit enters the drill;

[0033] When the drill bit is drilling in the rock formation, hydraulic power is used based on experience, and the valve of the high-pressure air supply channel is automatically closed. The motor in the screw drill is started and the drill bit is pushed to drill deeper only when the reading of the air velocity monitoring sensor in the coaxial nested device does not change and the reading of the water velocity monitoring sensor in the water supply channel is stable.

[0034] S5, Data Acquisition;

[0035] Drill bit parameters are obtained by stress sensors and orientation sensors, and a training database is constructed by combining preset coal and rock physical property parameters and the model is trained.

[0036] S6. Drilling and retracting the drill;

[0037] When the screw drill bit encounters hard rock formations, the sensors inside the drill bit capture parameters such as drill bit speed and drill bit torque, which are then transmitted to the adaptive control device. Combined with the slag discharge parameters and drilling depth calculations, the current position of the screw drill bit is determined.

[0038] S7, Intelligent identification of coal-rock boundary;

[0039] S71. Establish a classification database:

[0040] While the drill string is drilling, a classification database is established based on the raw data obtained by the first acquisition module and the second acquisition module at different depths during the drilling process;

[0041] S72. Data cleaning and feature parameter extraction:

[0042] Data cleaning is performed based on the sensitivity experience indicators corresponding to various types of data. The cleaned data is then arranged into an M×N matrix according to the size of the sensitivity index. Feature parameters are extracted from the real-time drill-down data matrix and the sensitivity index.

[0043] S73. Coal-rock boundary identification:

[0044] Based on the range of characteristic parameters corresponding to different conditions, the working medium of the current drilling tool is determined to be coal / rock strata / coal-rock interface;

[0045] S74, Operating Condition Switching:

[0046] When the working medium is determined to be rock formation, rock drilling: close the air supply valve, switch to hydraulic drive mode, activate high-pressure hydraulic drive, and monitor the slag discharge volume and drill bit torque in real time;

[0047] When the working medium is determined to be a coal seam, coal seam drilling: switch to wind-driven mode, start gas extraction simultaneously, and dynamically adjust the extraction negative pressure according to sensor data;

[0048] S8, Intelligent Gas Extraction;

[0049] When the screw drill is working in the coal seam, it uses air pressure as the power source. During drilling, the gas pressure monitoring sensor, temperature sensor and wind speed sensor transmit the gas parameters, temperature and wind speed of the space near the motor to the adaptive control equipment in real time. Based on the analysis results of the third analysis module, the corresponding extraction command is given to realize intelligent gas extraction during the drilling process.

[0050] When the screw drill bit is drilling in the coal seam, it may encounter a sudden change in gas pressure in the gas-rich area. By comparing with the manually set gas concentration change threshold, the power type can be preliminarily determined. Combined with the temperature and gas outburst correlation model, the drilling state can be adaptively changed, including the rotation speed, air-water switching, and starting negative pressure gas extraction.

[0051] S9, multi-mode collaboration;

[0052] The system automatically switches between drilling, retraction, or angle adjustment commands or power modes based on real-time data to ensure construction continuity and safety.

[0053] Furthermore, the temperature-gas concentration correlation model mentioned in step S8 is as follows:

[0054]

[0055] in, Real-time gas concentration; The maximum theoretical gas concentration is determined by the coal seam occurrence conditions and geological permeability; For adjustment coefficients, ; This represents the temperature sensitivity coefficient, taken as 0.08 / ℃; The ambient humidity was obtained by measuring the temperature sensor. The reference temperature is set to 30℃ based on the critical threshold.

[0056] Compared with the prior art, the beneficial effects of the present invention are:

[0057] This invention provides a gas extraction switching device and its adaptive drilling method. It mainly consists of a coaxial nested device comprising a water supply channel, a ventilation channel, and an extraction channel. During the drilling process of the screw drill, the device adaptively switches states and performs gas extraction based on the type of contact medium and monitoring data. It is simple to operate and has high safety performance; it possesses the following advantages:

[0058] (1) Integrated design: Coaxial nested flow channels reduce the number of pipes, improve structural compactness and mobility, and increase construction efficiency by more than 30%.

[0059] (2) Intelligent adaptive control: Based on the real-time analysis module of BP neural network, the coal and rock identification accuracy is ≥95%, and the working condition response time is shortened to within 2 seconds.

[0060] (3) Enhanced safety: By using the gas concentration-temperature correlation model, the risk of gas outburst can be warned in advance, and the efficiency of emergency response can be improved by 50%.

[0061] (4) Multi-condition adaptability: Seamless switching between hydraulic and wind power modes, adapting to alternating coal and rock formations, improving slag removal efficiency by 40%, and significantly enhancing borehole stability. Attached Figure Description

[0062] Figure 1 This is a schematic diagram of the structure of a wind and water pump conversion device according to the present invention.

[0063] Figure 2 This is a schematic diagram of the architecture of the adaptive control device of the present invention.

[0064] Figure 3 This is a schematic diagram of the coaxial nesting device of the present invention.

[0065] Figure 4 This is a cross-sectional schematic diagram of the coaxial nesting device of the present invention.

[0066] Figure 5 This is a schematic axial cross-sectional view of the coaxial nesting device of the present invention.

[0067] Figure 6 This is a schematic diagram of the coaxial nested drill rod of the present invention.

[0068] in:

[0069] 1. Coaxial nested device, 11. Outer cylinder, 12. Water supply channel, 13. Air supply channel, 14. Extraction pipe, 15. Water supply single-pass interface, 16. Air supply single-pass interface, 17. Support, 2. Adaptive control device, 21. First acquisition module, 22. Second acquisition module, 23. Third analysis module, 24. Fourth determination module, 3. Coaxial nested drill rod, 31. Internal thread, 32. External thread, 4. Drill bit, 5. Gas extraction hose, 6. High-pressure water supply hose, 7. High-pressure air supply hose. Detailed Implementation

[0070] To better understand the technical solution of the present invention, a detailed description will be provided below in conjunction with relevant illustrations. It should be understood that the specific embodiments described below are not intended to limit the specific implementation of the technical solution of the present invention, but are merely possible implementations of the technical solution of the present invention. It should be noted that the descriptions of the positional relationships of the components herein, such as component A being located above component B, are based on the relative positions of the components in the illustrations and are not intended to limit the actual positional relationships of the components. Example 1

[0071] See Figures 1-6 , Figure 1 A schematic diagram of a feng shui pumping conversion device according to Embodiment 1 is shown. As shown in the figure, the feng shui pumping conversion device according to Embodiment 1 includes a coaxial nested device 1 and an adaptive control device 2. One end of the outer wall of the coaxial nested device 1 is provided with a gas extraction hose 5, a high-pressure water supply hose 6, and a high-pressure air supply hose 7. The other end of the coaxial nested device 1 is connected to a coaxial nested drill rod 3, the coaxial nested drill rod 3 is connected to a drill bit 4, and the coaxial nested device 1 is connected to the adaptive control device 2.

[0072] The coaxial nested device 1 includes an outer cylinder 11, inside which are three layers of pipes: a water supply channel 12, an air supply channel 13, and an extraction pipe 14, which are coaxially arranged from the outside to the inside. Support components are provided between the adjacent pipe walls of the water supply channel 12, the air supply channel 13, and the extraction pipe 14 to fix and support them, preventing the channels / pipes from shifting. The support components include at least four sets of brackets 17, each set of brackets 17 is arranged along the same axis in the water supply channel 12 and the air supply channel 13, and the four sets of brackets 17 are arranged in a cross shape inside the outer cylinder 11.

[0073] The end of the water supply channel 12 is provided with two single water supply ports 15 distributed vertically, and the single water supply ports 15 are connected to the high-pressure water supply hose 6.

[0074] The end of the air supply channel 13 is provided with two air supply single-pass interfaces 16 distributed vertically, and the air supply single-pass interfaces 16 are connected to the high-pressure air supply hose 7.

[0075] The end of the extraction pipeline 14 is connected to the gas extraction hose 5 via a gas extraction valve.

[0076] The inner wall of the water supply channel 12 is equipped with a flow rate monitoring sensor to transmit flow rate data in real time; the flow rate monitoring sensor is fixed inside the water supply channel 12 near the bracket 17.

[0077] The inner wall of the air supply channel 13 is equipped with a wind speed monitoring sensor to transmit wind speed data in real time; the wind speed monitoring sensor is fixed inside the air supply channel 13 near the bracket 17.

[0078] The inner wall of the extraction pipeline 14 is equipped with a gas monitoring sensor, which transmits gas content and gas pressure data in real time; the gas monitoring sensor is fixed inside the extraction pipeline 14 near the support 17.

[0079] The flow rate monitoring sensor, wind speed monitoring sensor, and gas monitoring sensor are each independently linked to the adaptive control device 2 via data transmission optical fibers, and all data transmission optical fibers used for connection are wrapped with insulating material.

[0080] The adaptive control device 2 includes a first acquisition module 21, a second acquisition module 22, a third analysis module 23, and a fourth determination module 24. The first acquisition module 21 and the second acquisition module 22 are respectively connected to the third analysis module 23, and the third analysis module 23 is connected to the fourth determination module 24.

[0081] The first acquisition module 21 includes a stress sensor, an orientation sensor, and a temperature sensor. The first acquisition module 21 is installed inside the coaxial nested drill rod 3 that is matched with the coaxial nested device 1. It is wrapped by a non-magnetic drill rod and can transmit drill bit speed and drill bit torque in real time to determine drilling depth data. The first acquisition module 21 is connected to the third analysis module 23 through a data transmission optical fiber. The data transmission optical fiber is routed close to the inner wall of the gas extraction pipeline 14 and is wrapped by insulating material.

[0082] The stress sensor and orientation sensor are both explosion-proof piezoelectric accelerometers with a frequency range of 0.5Hz to 1.5kHz, a voltage sensitivity of 0.5V / g, and a maximum range of 10g; the temperature sensor is an explosion-proof capacitive sensor.

[0083] The second acquisition module 22 is used for pre-preparation work, which involves manually testing the physical property parameters and inputting the corresponding data to form the second acquisition module 22;

[0084] The third analysis module 23 adopts an analysis system based on a BP neural network model. It establishes an original database by combining rock drilling data, coal seam drilling data, and coal-rock combination (rock-coal-rock) drilling data in a ratio of 1:1:3. The ratio of training set to test set is 8:1, and the number of iterations is 2000, so as to train the model in advance.

[0085] A classification database is established based on the raw data acquired by the first acquisition module 21 and the second acquisition module 22 at different depths during the drilling process. Data is cleaned according to the sensitivity experience indicators corresponding to each type of data, and the cleaned data is arranged into an M×N matrix according to the size of the sensitivity index. Feature parameters are extracted from the real-time drilling data, and the working medium of the current drilling tool is determined to be coal / rock strata / coal-rock interface according to the feature parameters corresponding to different conditions.

[0086] The third analysis module 23 and the fourth determination module 24 are located inside the adaptive control device 2.

[0087] The first acquisition module 21 acquires data including drill bit rotation speed, drill bit torque, and drilling depth. The second acquisition module 22 acquires data including coal seam physical property parameters, rock strata physical property parameters, total drilling depth, and borehole azimuth. The third analysis module 23 has a real-time self-optimization function, including but not limited to collecting and processing the raw data transmitted by the first acquisition module 21 and the second acquisition module 22 at different depths. After the fourth determination module 24 finishes self-optimization based on the current borehole position data, the third analysis module 23 inputs the parameters corresponding to the current conditions and gives the corresponding instruction on whether to switch to hydraulic drilling / pneumatic drilling / gas extraction / drill retraction / angle adjustment in the next spatial step.

[0088] The coaxial nested drill rod 3 (i.e., screw drill) is a non-magnetic drill rod. The inner wall of one end of the coaxial nested drill rod 3 is provided with an internal thread 31, and the outer wall of the other end is provided with an external thread 32. The external thread 32 and the internal thread 31 are matched accordingly, which facilitates the threaded connection of the beginning and end of the coaxial nested drill rod 3. The end of the outer cylinder 11 of the coaxial nesting device 1 is provided with an external thread that matches the internal thread 31 of the coaxial nested drill rod 3. The coaxial nesting device 1 is threadedly connected to the coaxial nested drill rod 3.

[0089] This embodiment 1 relates to an adaptive drilling method for a wind-water pumping conversion device, which includes the following:

[0090] S1. Preliminary work;

[0091] Pre-determine the drilling location, obtain process parameters such as drilling depth and drilling angle, and sample and measure the physical properties of coal and rock in the working area.

[0092] S2, Device assembly;

[0093] Fix the coaxial nesting device to the matching drilling rig, and connect the gas extraction hose, high-pressure water supply hose, high-pressure air supply hose and adaptive control device respectively, and connect them to the high-pressure water supply, air supply and gas extraction system respectively.

[0094] S3, Sensor calibration;

[0095] The gas extraction function is activated by the adaptive control device to verify the flow rate, wind speed and gas sensor data to ensure that the air tightness meets the standard (stable negative pressure reading).

[0096] Specifically, observe the changes in the negative pressure gauge reading. If the reading does not change, it indicates that the airtightness is good; otherwise, it indicates that the connection of the coaxial nesting device needs to be checked for tightness.

[0097] S4, Drill bit enters the drill;

[0098] When the drill bit is drilling in the rock formation, hydraulic power is used based on experience, and the valve of the high-pressure air supply channel is automatically closed. The motor in the screw drill is started and the drill bit is pushed to drill deeper only when the reading of the air velocity monitoring sensor in the coaxial nested device does not change and the reading of the water velocity monitoring sensor in the water supply channel is stable.

[0099] S5, Data Acquisition;

[0100] Drill bit parameters are acquired using stress sensors and orientation sensors, and a training database is constructed by combining these with preset coal and rock physical property parameters.

[0101] Model training: Construct a dataset with coal, rock, and coal-rock combination in a 1:1:3 ratio, and iterate 2000 times to optimize the BP neural network model;

[0102] S6. Drilling and retracting the drill;

[0103] When the screw drill bit encounters hard rock formations, the sensors inside the drill bit capture parameters such as drill bit speed and drill bit torque, which are then transmitted to the adaptive control device. Combined with the slag discharge parameters and drilling depth calculations, the current position of the screw drill bit is determined.

[0104] S7, Intelligent identification of coal-rock boundary;

[0105] S71. Establish a classification database:

[0106] While the drill string is drilling, a classification database is established based on the raw data obtained by the first acquisition module and the second acquisition module at different depths during the drilling process;

[0107] S72. Data cleaning and feature parameter extraction:

[0108] Data cleaning is performed based on the sensitivity experience indicators corresponding to various types of data. The cleaned data is then arranged into an M×N matrix according to the size of the sensitivity index. Feature parameters are extracted from the real-time drill-down data matrix and the sensitivity index.

[0109] S73. Coal-rock boundary identification:

[0110] The working medium of the current drill bit is determined to be coal / rock strata / coal-rock interface based on the characteristic parameter range corresponding to different conditions; for example, when the drill bit torque suddenly increases and the slag discharge decreases, it is determined that it has entered a rock strata; the specific parameter ranges are shown in the table below:

[0111]

[0112] Model self-learning: The BP neural network model automatically updates the training set every 100m of drilling, incorporating the current formation data to improve classification accuracy;

[0113] False signal filtering: If a single parameter is abnormal (such as a sudden increase in torque but no decrease in slag discharge), a 3-second delay is initiated to determine whether there is temporary stuck drill or sensor noise.

[0114] Sensor redundancy: Key parameters (torque, slag discharge) are collected using dual redundant sensors. A self-test program is triggered when the data difference is greater than 10%.

[0115] Emergency strategy: When a conflict is detected at the interface, the conservative mode (reduce drilling speed + enhance extraction) should be executed first, and the conflict should be re-detected after the data stabilizes.

[0116] S74, Operating Condition Switching:

[0117] When the working medium is determined to be rock formation, rock drilling: close the air supply valve, switch to hydraulic drive mode, activate high-pressure hydraulic drive, and monitor the slag discharge volume and drill bit torque in real time;

[0118] When the working medium is determined to be a coal seam, coal seam drilling: switch to wind-driven mode, start gas extraction simultaneously, and dynamically adjust the extraction negative pressure according to sensor data;

[0119] S8, Intelligent Gas Extraction;

[0120] When the screw drill is working in the coal seam, it uses air pressure as the power source. During drilling, the gas pressure monitoring sensor, temperature sensor and wind speed sensor transmit the gas parameters, temperature and wind speed of the space near the motor to the adaptive control equipment in real time. Based on the analysis results of the third analysis module, the corresponding extraction command is given to realize intelligent gas extraction during the drilling process.

[0121] When the screw drill bit is drilling in the coal seam, it may encounter gas pressure changes in gas-rich areas. By comparing with manually set gas concentration change thresholds, the power type can be preliminarily determined. Combined with the temperature and gas outburst correlation model, the drilling state can be adaptively changed, including changing the rotation speed, switching between air and water, and starting negative pressure gas extraction. If the gas concentration is detected to exceed the threshold, negative pressure extraction will be started immediately and the drilling speed will be reduced.

[0122] The correlation model between temperature and gas concentration is as follows:

[0123]

[0124] in, Real-time gas concentration; The maximum theoretical gas concentration is determined by the coal seam occurrence conditions and geological permeability; For adjustment coefficients, ; This represents the temperature sensitivity coefficient, taken as 0.08 / ℃; The ambient humidity was obtained by measuring the temperature sensor. The reference temperature is set to 30℃ based on the critical threshold.

[0125] S9, multi-mode collaboration;

[0126] The system automatically switches between drilling, retraction, or angle adjustment commands or power modes based on real-time data to ensure construction continuity and safety.

[0127] Working principle:

[0128] The present invention provides a feng shui pump conversion device, comprising the following:

[0129] Coaxial nested device: includes three layers of coaxial flow channels (water supply channel, air supply channel, and extraction pipeline), which are fixed by brackets and integrate flow velocity, wind speed and gas sensors;

[0130] Adaptive control device: It consists of a data acquisition module (first acquisition module and second acquisition module, used to collect drill bit speed, torque, coal and rock physical property parameters, etc.), a BP neural network analysis module (third analysis module) and an instruction generation module (fourth determination module), which realizes real-time optimization of drilling status and mode switching;

[0131] The sensor system includes flow monitoring sensors, wind speed monitoring sensors, gas monitoring sensors, and temperature sensors. It adopts explosion-proof piezoelectric accelerometers and capacitive temperature sensors to monitor the bottom pressure, gas concentration, and medium type in real time. The flow monitoring sensors and wind speed monitoring sensors are respectively attached to the partition layer of the water supply channel and the air supply channel. Based on the real-time monitoring data, it determines whether the pressure inside the pipe is normal and reduces the risk of backflow.

[0132] The present invention provides an adaptive drilling method for a wind and water pumping conversion device, including intelligent drilling and retraction, geological exploration and gas drainage functions;

[0133] The geological exploration function is intelligent coal and rock identification. By analyzing drill bit parameters (rotation speed, torque) and slag discharge volume, combined with a BP neural network model, the coal and rock interface is determined, and the hydraulic / pneumatic mode is dynamically switched.

[0134] During the drilling process, the third analysis module in the adaptive control device can perform real-time analysis of the data acquired by the first and second acquisition modules to achieve intelligent identification of the coal-rock boundary. In the face of different media and gas pressures, it can carry out the next step of work according to the instructions given by the fourth determination module in the adaptive control device.

[0135] When the screw drill bit encounters hard rock formations, the sensors inside the drill bit capture parameters such as drill bit speed and drill bit torque, which are then transmitted to the adaptive control device. Combined with parameters such as slag discharge and drilling depth, the current position of the screw drill bit is determined, thereby enabling coal and rock identification.

[0136] The gas extraction function, also known as gas extraction control, is based on the gas pressure change threshold and ambient humidity. It initiates negative pressure extraction or adjusts the drilling speed to prevent gas outbursts.

[0137] The gas extraction function is related to gas pressure and ambient humidity. When the screw drill bit is drilling in the coal seam, it will encounter a sudden change in gas pressure in the gas-rich area. By comparing the manually set gas concentration change threshold, the power type can be preliminarily determined. Combined with the temperature and gas outburst correlation model, the drilling state can be adaptively changed, including the rotation speed, air-water switching, and starting negative pressure gas extraction.

[0138] The above are merely specific application examples of the present invention and do not constitute any limitation on the scope of protection of the present invention. All technical solutions formed by equivalent transformations or substitutions fall within the scope of protection of the present invention.

Claims

1. A feng shui pump conversion device, characterized in that: It includes a coaxial nesting device (1) and an adaptive control device (2). One end of the outer wall of the coaxial nesting device (1) is provided with a gas extraction hose (5), a high-pressure water supply hose (6) and a high-pressure air supply hose (7). The other end of the coaxial nesting device (1) is connected to a coaxial nesting drill rod (3). The coaxial nesting drill rod (3) is connected to a drill bit (4). The coaxial nesting device (1) is connected to the adaptive control device (2). The coaxial nested device (1) includes an outer cylinder (11), which has three layers of pipes arranged coaxially from the outside to the inside: a water supply channel (12), an air supply channel (13), and an extraction pipe (14). The end of the water supply channel (12) is connected to a high-pressure water supply hose (6); the end of the air supply channel (13) is connected to a high-pressure air supply hose (7); and the end of the extraction pipe (14) is connected to a gas extraction hose (5). The inner wall of the water supply channel (12) is equipped with a flow velocity monitoring sensor, the inner wall of the air supply channel (13) is equipped with a wind speed monitoring sensor, and the inner wall of the extraction pipeline (14) is equipped with a gas monitoring sensor, which transmits gas content and gas pressure data in real time; the flow velocity monitoring sensor, wind speed monitoring sensor and gas monitoring sensor are independently linked to the adaptive control device (2) through data transmission optical fiber. The adaptive control device (2) includes a first acquisition module (21), a second acquisition module (22), a third analysis module (23) and a fourth determination module (24). The first acquisition module (21) and the second acquisition module (22) are respectively connected to the third analysis module (23), and the third analysis module (23) is connected to the fourth determination module (24). The first acquisition module (21) includes a stress sensor, an orientation sensor, and a temperature sensor. The first acquisition module (21) is installed in the coaxial nested drill rod (3) that is matched with the coaxial nested device (1). It transmits the drill bit rotation speed and drill bit torque in real time and determines the drilling depth data. The first acquisition module (21) is connected to the third analysis module (23) through a data transmission optical fiber. The second acquisition module (22) is used for pre-preparation work. It is formed by manually testing the physical property parameters and inputting the corresponding data. The third analysis module (23) adopts an analysis system based on the BP neural network model. The third analysis module (23) and the fourth determination module (24) are installed inside the adaptive control device (2). The third analysis module (23) based on the BP neural network model analysis system establishes an original database with rock drilling data, coal seam drilling data and coal-rock combination drilling data in a ratio of 1:1:3, with a training set to test set ratio of 8:1 and 2000 iterations, and performs model training in advance.

2. The feng shui pumping conversion device according to claim 1, characterized in that: Support components are provided between the adjacent pipe walls of the water supply channel (12), air supply channel (13) and extraction pipeline (14) to fix and support them, so as to prevent the channels / pipes from shifting.

3. The feng shui pumping conversion device according to claim 2, characterized in that: The support assembly includes at least four sets of brackets (17), each set of brackets (17) is arranged along the same axis in the water supply channel (12) and the air supply channel (13), and the four sets of brackets (17) are arranged in a cross shape in the outer cylinder (11).

4. The feng shui pumping conversion device according to claim 1, characterized in that: The end of the water supply channel (12) is provided with two water supply single-port interfaces (15) distributed vertically, and the water supply single-port interface (15) is connected to the high-pressure water supply hose (6). The end of the air supply channel (13) is provided with two air supply single-pass interfaces (16) distributed vertically, and the air supply single-pass interfaces (16) are connected to the high-pressure air supply hose (7). The end of the extraction pipe (14) is connected to the gas extraction hose (5) via a gas extraction valve.

5. The feng shui pumping conversion device according to claim 1, characterized in that: The flow velocity monitoring sensor is fixed inside the water supply channel (12) near the support (17); the wind speed monitoring sensor is fixed inside the air supply channel (13) near the support (17); the gas monitoring sensor is fixed inside the extraction pipeline (14) near the support (17); the data transmission optical fibers used to connect the flow velocity monitoring sensor, wind speed monitoring sensor and gas monitoring sensor are all wrapped with insulating material.

6. The feng shui pumping conversion device according to claim 1, characterized in that: The stress sensor and orientation sensor are both explosion-proof piezoelectric accelerometers with a frequency range of 0.5Hz-1.5kHz, a voltage sensitivity of 0.5V / g, and a maximum range of 10g; the temperature sensor is an explosion-proof capacitive sensor.

7. The feng shui pumping conversion device according to claim 1, characterized in that: The coaxial nested drill rod (3) is a non-magnetic drill rod. The inner wall of one end of the coaxial nested drill rod (3) is provided with an internal spiral thread (31), and the outer wall of the other end is provided with an external spiral thread (32). The external spiral thread (32) and the internal spiral thread (31) are matched accordingly, which facilitates the threaded connection of the beginning and end of the coaxial nested drill rod (3). The end of the outer cylinder (11) of the coaxial nesting device (1) is provided with an external spiral thread that matches the internal spiral thread (31) of the coaxial nested drill rod (3). The coaxial nesting device (1) is threadedly connected to the coaxial nested drill rod (3).

8. An adaptive drilling method for a wind-water pumping conversion device, based on any one of claims 1-7, characterized in that, Includes the following: S1. Preliminary work; Pre-determine the drilling location, obtain process parameters such as drilling depth and drilling angle, and sample and measure the physical properties of coal and rock in the working area; S2, Device assembly; Fix the coaxial nesting device to the matching drilling rig, and connect the gas extraction hose, high-pressure water supply hose, high-pressure air supply hose and adaptive control device respectively, and connect them to the high-pressure water supply, air supply and gas extraction system respectively. S3, Sensor calibration; The gas extraction function is activated by an adaptive control device to verify the flow rate, wind speed and gas sensor data to ensure that the air tightness meets the standard. Observe the changes in the negative pressure gauge reading. If the reading does not change, it proves that the airtightness is good. Otherwise, it proves that the connection of the coaxial nesting device needs to be checked to see if it is tight. S4, Drill bit enters the drill; When the drill bit is drilling in the rock formation, hydraulic power is used based on experience, and the valve of the high-pressure air supply channel is automatically closed. The motor in the screw drill is started and the drill bit is pushed to drill deeper only when the reading of the air velocity monitoring sensor in the coaxial nested device does not change and the reading of the water velocity monitoring sensor in the water supply channel is stable. S5, Data Acquisition; Drill bit parameters are obtained by stress sensors and orientation sensors, and a training database is constructed by combining preset coal and rock physical property parameters and the model is trained. S6. Drilling and retracting the drill; When the screw drill bit encounters hard rock formations, the drill bit speed and torque parameters captured by the sensors inside the drill bit are transmitted to the adaptive control device. Combined with the slag discharge parameters and drilling depth calculation, the current position of the screw drill bit is determined. S7, Intelligent identification of coal-rock boundary; S71. Establish a classification database: While the drill string is drilling, a classification database is established based on the raw data obtained by the first acquisition module and the second acquisition module at different depths during the drilling process; S72. Data cleaning and feature parameter extraction: Data cleaning is performed based on the sensitivity experience indicators corresponding to various types of data. The cleaned data is then arranged into an M×N matrix according to the size of the sensitivity index. Feature parameters are extracted from the real-time drill-down data matrix and the sensitivity index. S73. Coal-rock boundary identification: Based on the range of characteristic parameters corresponding to different conditions, the working medium of the current drilling tool is determined to be coal / rock strata / coal-rock interface; S74, Operating Condition Switching: When the working medium is determined to be rock formation, rock drilling: close the air supply valve, switch to hydraulic drive mode, activate high-pressure hydraulic drive, and monitor the slag discharge volume and drill bit torque in real time; When the working medium is determined to be a coal seam, coal seam drilling: switch to wind-driven mode, start gas extraction simultaneously, and dynamically adjust the extraction negative pressure according to sensor data; S8, Intelligent Gas Extraction; When the screw drill is working in the coal seam, it uses air pressure as the power source. During drilling, the gas pressure monitoring sensor, temperature sensor and wind speed sensor transmit the gas parameters, temperature and wind speed of the space near the motor to the adaptive control equipment in real time. Based on the analysis results of the third analysis module, the corresponding extraction command is given to realize intelligent gas extraction during the drilling process. When the screw drill bit is drilling in the coal seam, it may encounter a sudden change in gas pressure in the gas-rich area. By comparing with the manually set gas concentration change threshold, the power type can be preliminarily determined. Combined with the temperature and gas outburst correlation model, the drilling state can be adaptively changed, including the rotation speed, air-water switching, and starting negative pressure gas extraction. S9, multi-mode collaboration; The system automatically switches between drilling, retraction, or angle adjustment commands or power modes based on real-time data to ensure construction continuity and safety.

9. The adaptive drilling method for a wind-water pumping conversion device according to claim 8, characterized in that: The temperature-gas concentration correlation model mentioned in step S8 is as follows: in, Real-time gas concentration; The maximum theoretical gas concentration is determined by the coal seam occurrence conditions and geological permeability; For adjustment coefficients, ; This represents the temperature sensitivity coefficient, taken as 0.08 / ℃; The ambient humidity was obtained by measuring the temperature sensor. The reference temperature is set to 30℃ based on the critical threshold.

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