Long-pressure short-suction ventilation dust removal system regulation and control method and system based on optimal dust control wind speed

Abstract

The invention relates to a long-pressure short-suction ventilation dust removal system regulation and control method and system based on the optimal dust control wind speed, and belongs to the field of coal mine fully-mechanized excavation face dust control. In order to solve the problems of lagging regulation and control, extensive parameter matching, unstable efficiency and the like in the prior art, the invention provides the following technical scheme: firstly, determining an optimal dust control wind speed threshold value; the press-in air volume, the axial air volume, the dust suction air volume and the dust concentration C are monitored in real time; calculating the current actual dust control wind speed; and based on the comparison result and C, dynamically adjusting the frequencies of the press-in fan and the dust removal fan and the fan blade angle of the air control device through a hierarchical regulation and control algorithm. According to the method, the optimal dust control wind speed serves as a core regulation and control target, air quantity collaborative matching is achieved, dynamic working conditions such as dust production intensity sudden change can be responded in time, and the dust treatment effect of the working face is remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of dust control at coal mine tunneling faces, and relates to a control method and system for a long-pressure short-extraction ventilation and dust removal system based on the optimal dust control wind speed. Background Technology

[0002] Longwall mining faces are among the main dust-generating areas in underground coal mines. High concentrations of dust not only seriously threaten the occupational health of workers but also accelerate equipment wear and tear, posing a significant safety risk of coal dust explosions. Currently, long-pressure, short-extraction ventilation and dust removal technology is the mainstream technology for controlling dust at longwall mining faces.

[0003] Traditional long-pressure, short-extraction systems rely heavily on manual experience for control. Operators typically need to manually adjust the frequencies of the intake and dust removal fans, as well as the blade angles of the air control devices, based on subjective judgment to achieve a rough match in airflow.

[0004] This method of regulation has obvious drawbacks: Lagging regulation: It takes a long time from manual observation and judgment to manual operation.

[0005] The parameter matching is crude: the lack of scientific and quantitative control targets, and the differences in experience among different operators lead to unstable control effects.

[0006] Poor adaptability: When working conditions change, such as changes in lithology leading to sudden changes in dust generation intensity, fixed or empirical parameter settings are difficult to maintain an efficient dust removal state.

[0007] Therefore, there is an urgent need for a control method and system that can adapt to dynamic working conditions to solve the problems of control lag and unstable efficiency in traditional long-pressure short-extraction systems, thereby significantly improving the dust control effect at the working face. Summary of the Invention

[0008] In view of this, the purpose of the present invention is to provide a control method and system for a long-pressure short-extraction ventilation and dust removal system based on the optimal dust control wind speed, so as to overcome the shortcomings of the prior art, such as reliance on manual experience, control lag, and poor parameter matching.

[0009] To achieve the above objectives, the present invention provides the following technical solution: A method for controlling a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity includes the following steps: S1: Determine the optimal dust control wind speed threshold for the system. The dust control wind speed Defined as the average wind speed across the roadway cross-section formed within the dust control area between the air control device and the dust extraction port, its calculation formula is:

[0010] in, This refers to the dust extraction air volume of the dust collector. This refers to the axial airflow of the air control device. This refers to the net cross-sectional area of ​​the tunnel. S2: Real-time monitoring of system operating parameters, including at least: compressed air volume. Axial air volume Dust extraction air volume and the concentration of dust in the work area ; S3: Based on the real-time air volume data monitored by S2 and the net cross-sectional area of ​​the tunnel. Calculate the current actual dust control wind speed ; S4: The current actual dust control wind speed With the optimal dust control wind speed threshold A comparison was made, and based on the comparison results and the dust concentration... Control commands are generated through a regulation algorithm to dynamically adjust the operating frequency of the forced draft fan, the operating frequency of the dust removal fan, and the radial and axial blade angles of the air control device, thereby controlling the actual dust-controlling air velocity.

[0011] Approaching and stabilizing at the optimal dust control wind speed threshold nearby.

[0012] Furthermore, in S1, the optimal dust control wind speed threshold The value was determined by a combination of numerical simulation and physical similarity test methods, and it is 0.3 m / s.

[0013] Furthermore, in step S4, the control algorithm employs a hierarchical decision-making mechanism, including: S41: Initial Control Phase: When the start-up of the tunneling equipment is detected, the dust removal fan and the air control device are automatically activated; if the calculated... This simultaneously increases the operating frequency of the intake fan and the dust removal fan, and adjusts the fan blade angle of the air control device to increase the radial air volume. Reduce axial airflow until the stated To achieve the ;in, ; S42: Steady-state optimization stage: when the above Stable in Subsequently, the dust concentration was continuously monitored. If the dust concentration If the dust concentration continuously exceeds the first preset concentration threshold for a first preset duration, it is determined that a high dust intensity condition has been entered, and the dust control wind speed target value is increased to an enhanced value. And increase the compressed air volume accordingly. Dust extraction air volume and radial air volume ; S43: Recovery phase: when the dust concentration After the dust concentration drops below the second preset concentration threshold and remains there for the second preset duration, the dust control wind speed target value will be restored to the specified value. .

[0014] Furthermore, the first preset concentration threshold is 50 mg / m³. 3 The first preset duration is 30 seconds, and the enhancement value It is 0.35 m / s.

[0015] Furthermore, when adjusting the operating frequency of the forced-in fan and the operating frequency of the dust removal fan, a step size of 1Hz is used; when adjusting the fan blade angle of the air control device, a step size of 5° is used.

[0016] Furthermore, the control process in S4 also includes a data verification step; when the calculated actual dust control wind speed... When the deviation from the expected value exceeds the preset tolerance (e.g., 10%), the system automatically triggers the sensor calibration procedure and uses the average value of historical data for temporary adjustment until calibration is completed.

[0017] Furthermore, an energy efficiency optimization stage is added between the steady-state optimization stage of S42 and the recovery stage of S43; when the dust concentration C remains below a third preset concentration threshold (e.g., 20 mg / m³), an energy efficiency optimization stage is added. 3 When the third preset duration (e.g., 60 seconds) is reached, the system automatically enters low-power mode, proportionally reducing the operating frequency of the intake fan and dust removal fan until the dust control fan speed is reached. Maintain at the optimal threshold The lower limit (e.g., 0.28 m / s) is used to balance dust removal efficiency and energy consumption.

[0018] A long-pressure short-extraction ventilation and dust removal system for performing the method includes: Forced air blower; Dust removal fan; Air control device; An airflow sensor is used to monitor the compressed airflow of the system in real time. Axial air volume and dust extraction air volume ; Dust concentration sensor is used to monitor the dust concentration at the work surface in real time. ; The data sensing and control platform is equipped with a processor and a memory. The memory stores program instructions, and when the processor executes the program instructions, it performs the following function: determining the optimal dust control wind speed threshold of the system. ; Based on the real-time air volume data monitored by the air volume sensor and the net cross-sectional area of ​​the tunnel. Calculate the current actual dust control wind speed using the following formula. :

[0019] in, The dust extraction air volume of the dust removal fan. The axial airflow of the air control device. This refers to the net cross-sectional area of ​​the tunnel. The current actual dust control wind speed With the optimal dust control wind speed threshold A comparison is made, and based on the comparison results and the dust concentration monitored in real time by the dust concentration sensor... The system generates control commands to dynamically adjust the operating frequency of the forced-in fan, the operating frequency of the dust removal fan, and the radial and axial blade angles of the air control device, thereby adjusting the actual dust control airflow speed. Approaching and stabilizing at the optimal dust control wind speed threshold nearby.

[0020] Furthermore, the data sensing and control platform also integrates a wireless communication module for remote real-time transmission of operating parameters and alarm information to the monitoring center; when the dust concentration... C Exceeding the safety threshold (e.g., 100 mg / m³) 3 When ventilation fails or control fails, the system automatically sends an early warning signal and activates the backup ventilation mode.

[0021] The beneficial effects of this invention are as follows: (1) This method uses an intelligent control algorithm to determine the optimal dust control wind speed threshold. With this as its core objective, it can respond promptly to dynamic operating conditions such as the start-up and shutdown of the tunneling machine, changes in ventilation parameters, and sudden changes in dust generation intensity. This solves the problem of control lag caused by manual observation, judgment, and manual operation in traditional control methods.

[0022] (2) This method uses the optimal dust control wind speed As a quantitative and scientific control target, it involves real-time monitoring of airflow data and dust concentration. The frequency of the intake fan and dust removal fan, as well as the blade angle of the air control device, are dynamically adjusted to achieve the desired dust control air velocity. Stabilize at the optimal dust control wind speed threshold The system is located nearby, thus achieving coordinated airflow matching and maintaining a consistently efficient dust removal state.

[0023] (3) This method adopts a hierarchical decision-making mechanism, especially in the steady-state optimization stage, which can continuously monitor dust concentration. And when the system determines that it has entered a high dust intensity operating condition, it automatically increases the dust control wind speed target value to the enhanced value. This greatly enhances the system's adaptability to changes in working conditions, such as sudden changes in dust generation intensity.

[0024] (4) The proposed control logic with the optimal dust control wind speed as the core objective does not depend on specific roadway size or equipment model, and therefore has strong universality.

[0025] (5) Stabilize the dust control wind speed at the optimal threshold. The location of the wind in the vicinity avoids unnecessary high wind speeds, thus ensuring efficient dust suppression while reducing energy consumption and the risk of secondary dust generation.

[0026] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein: Figure 1 This is a schematic diagram of the invention; Figure 2 This is a control logic flowchart. Detailed Implementation

[0028] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0029] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0030] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0031] Figure 1 This is a schematic diagram of the invention; Figure 2 This is a flowchart of the control logic of the present invention.

[0032] Airflow monitoring: Indicates that the system monitors the incoming airflow in real time. Axial air volume Dust extraction air volume The steps for obtaining the required operating parameters.

[0033] Dust control wind speed <0.3m / s: This indicates the calculated actual dust control wind speed. The decision point is compared with the optimal dust control wind speed threshold of 0.3 m / s.

[0034] Yes / No: Indicates the path that branches based on the comparison result.

[0035] Initial regulation: indicates The control sub-process executed when the speed is <0.3m / s.

[0036] Adjust the frequency of the forced air blower ( Target air volume 630m³ 3 / min): This indicates the operation of adjusting the frequency of the forced draft fan, with the goal of making... Reaching 630m 3 / min.

[0037] Adjust the frequency of the dust collector fan ( Target air volume 350m³ 3 / min): This indicates the operation of adjusting the frequency of the dust collector fan, with the goal of making it... Reaching 350m 3 / min.

[0038] Adjust the fan blade angle of the air control device ( Target air volume 600m³ 3 / min): This indicates the operation of adjusting the fan blade angle of the air control device, with the goal of increasing the radial airflow. Reaching 600m 3 / min.

[0039] Step size 1Hz / 5°: indicates the adjustment step size for the fan frequency and blade angle.

[0040] Steady-state operation: indicates The system enters a stable operating state at a speed of m / s.

[0041] Dust concentration at the driver's location consistently <50mg / m³ 3 : Indicates the dust concentration under steady-state operating conditions. C Decision points for continuous monitoring.

[0042] Strengthening regulation: indicates C Continuously exceeding 50mg / m 3 The control sub-process executed in time aims to... Increased to 0.35 m / s.

[0043] Adjust the frequency of the forced air blower ( Target air volume 680m³ 3 / min): This indicates the operation of adjusting the frequency of the forced draft fan, with the goal of making... Reaching 680m 3 / min.

[0044] Adjust the frequency of the dust collector fan ( Target air volume 400m 3 / min): This indicates the operation of adjusting the frequency of the dust collector fan, with the goal of making it... Reaching 400m 3 / min.

[0045] Adjust the fan blade angle of the air control device ( Target air volume 660m³ 3 / min): This indicates the operation of adjusting the fan blade angle of the air control device, with the goal of increasing the radial airflow. Reaching 660m 3 / min.

[0046] Example 1: Hierarchical Dynamic Control Based on Optimal Dust Control Wind Speed This embodiment uses a fully mechanized tunneling face in a coal mine as an application scenario to explain in detail the intelligent control method of a long-pressure, short-extraction ventilation and dust removal system based on the optimal dust control wind speed. The tunnel of this working face has a rectangular cross-section, with a net cross-sectional area of...A Approximately 18m 2 The system equipment includes an FBDNo.6.0 / 2×45kW forced-flow fan with a frequency converter, a KCG-500D dry dust collector with a frequency converter, and a T-type air control device.

[0047] 1. Determine the optimal dust control wind speed threshold.

[0048] First, determine the optimal dust control wind speed threshold based on the roadway geometry parameters and equipment type. .

[0049] Numerical simulation: A three-dimensional fluid model of the working surface was established using computational fluid dynamics (CFD) software. Different airflow combinations were set to simulate and calculate the dust concentration distribution at various dust control velocities of 0.2 m / s, 0.25 m / s, 0.3 m / s, 0.35 m / s, and 0.4 m / s. Simulation results show that when the dust control velocity reaches 0.3 m / s, the dust concentration at the driver's position and the dust collector position has significantly decreased to a low level.

[0050] Physical similarity test: The above airflow conditions were reproduced in a 1:1 simulated tunnel experimental system, and the dust concentration under different dust control velocities was measured. The test results show that a dust control velocity of 0.3 m / s is a significant inflection point, with high dust reduction efficiency and stable system operation.

[0051] Based on the combined simulation and experimental results, the optimal dust control wind speed threshold for this system under these conditions was determined. =0.3m / s.

[0052] 2. Data Awareness Install air volume sensors at the inlet and outlet of the forced air duct and inside the dust extraction duct to monitor the forced air volume in real time. Axial air volume Dust extraction air volume Dust concentration sensors are installed at the driver's position and the dust collector location to monitor the dust concentration at the working surface in real time. C Meanwhile, the start / stop status of the roadheader is monitored via start / stop sensors.

[0053] 3. Calculation and Decision Making The software platform receives sensor data in real time and calculates the current actual dust control wind speed according to the following formula. :

[0054] Among them, the net cross-sectional area of ​​the tunnel A Take 18m 2 .

[0055] 4. Implementation of tiered regulation The system according to Figure 2 The control logic flowchart shown executes hierarchical regulation.

[0056] 4.1 Initial / Matching Phase When the start signal of the tunneling and anchoring machine is triggered, the system automatically activates the dust collector and air control device.

[0057] 4.1.1 Judgment: Calculated... Is it less than the optimal dust control wind speed threshold of 0.3 m / s?

[0058] 4.1.2 Initial Regulation: If If the speed is less than 0.3 m / s, the system will perform initial adjustments to ensure that the dust control airflow velocity reaches the target quickly. .

[0059] Adjust the fan frequency: Synchronously increase the inverter frequencies of the intake fan and dust collector fan in 1Hz increments. The goal is to increase the intake air volume. Reaching approximately 630m 3 / min, dust extraction air volume Reaching approximately 350m 3 / min.

[0060] Adjusting the fan blade angle: Controlling the actuator of the air control device to adjust the fan blades in 5° increments, increasing the radial fan blade angle and decreasing the axial fan blade angle.

[0061] The goal is to increase radial airflow. Reaching approximately 600m 3 / min axial air volume The corresponding reduction.

[0062] This process continues until... Once the speed stabilizes at around 0.3 m / s, the system enters steady-state operation.

[0063] 4.2 Steady-state optimization stage: The system operates stably in... After reaching 0.3 m / s, continuously monitor the dust concentration at the driver's location. C .

[0064] 4.2.1 Judgment: Monitor the dust concentration C Whether it remains below the first preset concentration threshold of 50 mg / m³ 3 .

[0065] 4.2.2 Strengthen regulation: If C For 30 consecutive seconds, the concentration of 50 mg / m³ was above 50 mg / m³. 3 The algorithm determines that the operating condition is high dust and immediately switches the dust control wind speed target value to the enhanced value. .

[0066] Adjust fan frequency: Immediately instruct each fan to further increase its frequency. According to... Figure 2 The enhanced control logic shown adjusts the target air volume by regulating the frequency of the forced draft fan. 680m 3 / min, the target air volume for adjusting the frequency of the dust collector fan. 400m 3 / min. The adjustment step size remains at 1Hz.

[0067] Adjusting the fan blade angle: Further adjust the fan blades of the air control device to increase the radial airflow. Target airflow 660m 3 / min, the adjustment step size remains at 5°.

[0068] Rapidly enhance dust control capabilities until C consistently less than 50 mg / m 3 .

[0069] 4.3 Recovery Phase When dust concentration C Falling back to 50 mg / m 3 After stabilizing for 30 seconds, the system determines that the high-dust condition has ended and automatically restores the dust control wind speed target value to the economical 0.3 m / s, with each actuator correspondingly reverting to its original position.

[0070] Example 2: Enhanced control and recovery under high dust conditions Assuming the system is already operating stably at the optimal dust control wind speed threshold. .

[0071] 1. High dust conditions trigger During the tunneling process, a sudden change in lithology caused a sharp increase in dust generation. The system continuously monitors the dust concentration at the operator's station. C .

[0072] Monitoring: When dust concentration C Exceeding the first preset concentration threshold And continue for more than 30 seconds.

[0073] Judgment: The system determines that the current operating condition is high dust intensity.

[0074] 2. Strengthen regulation The system immediately implemented enhanced control measures, raising the dust control wind speed target value. Upgrade to enhancement value .

[0075] Execution instructions: The system uses The adjustment step size and the adjustment step size of $5^\circ$ are used to simultaneously increase the frequency of the injection fan and the dust removal fan, and adjust the fan blade angle of the air control device.

[0076] Parameter Improvement: Compressed Air Volume Upgraded to Dust extraction air volume Upgraded to radial air volume Upgraded to Rapidly enhances dust control capabilities until dust concentration reaches a certain level. C It has begun to descend.

[0077] 3. Recovery Phase With the implementation of enhanced regulation, high-concentration dust has been effectively controlled.

[0078] Monitoring and Recovery: Continuous system monitoring C .

[0079] Recovery determination: When the dust concentration C Decrease to below the second preset concentration threshold And maintain the second preset duration of 30 seconds.

[0080] Recovery Execution: Upon determining the end of the high-dust operation, the system initiates the recovery phase. The dust control fan speed target value is automatically restored to an economical level. The corresponding frequency and angle parameters of each actuator are reverted to the parameters used during the initial / matching phase when things were stable.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for controlling a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity, characterized in that: Includes the following steps: S1: Determine the optimal dust control wind speed threshold for the system. The dust control wind speed Defined as the average wind speed across the roadway cross-section formed within the dust control area between the air control device and the dust extraction port, its calculation formula is: in, This refers to the dust extraction air volume of the dust collector. This refers to the axial airflow of the air control device. This refers to the net cross-sectional area of ​​the tunnel. S2: Real-time monitoring of system operating parameters, including at least: compressed air volume. Axial air volume Dust extraction air volume and the concentration of dust in the work area ; S3: Based on the real-time air volume data monitored by S2 and the net cross-sectional area of ​​the tunnel. Calculate the current actual dust control wind speed ; S4: The current actual dust control wind speed With the optimal dust control wind speed threshold A comparison was made, and based on the comparison results and the dust concentration... Control commands are generated through a regulation algorithm to dynamically adjust the operating frequency of the forced draft fan, the operating frequency of the dust removal fan, and the radial and axial blade angles of the air control device, thereby controlling the actual dust-controlling air velocity. Approaching and stabilizing at the optimal dust control wind speed threshold nearby.

2. The control method for a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity according to claim 1, characterized in that: In S1, the optimal dust control wind speed threshold The value was determined by a combination of numerical simulation and physical similarity test methods, and it is 0.3 m / s.

3. The control method for a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity according to claim 1, characterized in that: In S4, the control algorithm adopts a hierarchical decision-making mechanism, including: S41: Initial Control Phase: When the start-up of the tunneling equipment is detected, the dust removal fan and the air control device are automatically activated; if the calculated... This simultaneously increases the operating frequency of the intake fan and the dust removal fan, and adjusts the fan blade angle of the air control device to increase the radial air volume. Reduce axial airflow until the stated To achieve the ;in, ; S42: Steady-state optimization stage: when the above Stable in Subsequently, the dust concentration was continuously monitored. If the dust concentration If the dust concentration continuously exceeds the first preset concentration threshold for a first preset duration, it is determined that a high dust intensity condition has been entered, and the dust control wind speed target value is increased to an enhanced value. And increase the compressed air volume accordingly. Dust extraction air volume and radial air volume ; S43: Recovery phase: when the dust concentration After the dust concentration drops below the second preset concentration threshold and remains there for the second preset duration, the dust control wind speed target value will be restored to the specified value. .

4. The control method for a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity according to claim 3, characterized in that: The first preset concentration threshold is 50 mg / m³ 3 The first preset duration is 30 seconds, and the enhancement value It is 0.35 m / s.

5. The control method for a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity according to claim 3, characterized in that: When adjusting the operating frequency of the forced-in fan and the dust removal fan, a step size of 1Hz is used; when adjusting the fan blade angle of the air control device, a step size of 5° is used.

6. The control method for a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity according to claim 3, characterized in that: The S4 control process also includes a data verification step; when the calculated actual dust control wind speed... When the deviation from the expected value exceeds the preset tolerance, the system automatically triggers the sensor calibration procedure and uses the average value of historical data for temporary adjustment until calibration is completed.

7. The control method for a long-pressure, short-extraction ventilation and dust removal system based on optimal dust control velocity according to claim 3, characterized in that: Between the steady-state optimization phase of S42 and the recovery phase of S43, an energy efficiency optimization phase is added; when the dust concentration C remains below the third preset concentration threshold for a third preset duration, the system automatically enters a low-power mode, proportionally reducing the operating frequency of the intake fan and the dust removal fan until the dust control fan speed is reduced. Maintain at the optimal threshold The lower limit is set to balance dust removal efficiency and energy consumption.

8. A long-pressure short-extraction ventilation and dust removal system for performing the method according to any one of claims 1 to 7, characterized in that: include: Forced air blower; Dust removal fan; Air control device; An airflow sensor is used to monitor the compressed airflow of the system in real time. Axial air volume and dust extraction air volume ; Dust concentration sensor is used to monitor the dust concentration at the work surface in real time. ; The data sensing and control platform is equipped with a processor and a memory. The memory stores program instructions, and when the processor executes the program instructions, it performs the following function: determining the optimal dust control wind speed threshold of the system. ; Based on the real-time air volume data monitored by the air volume sensor and the net cross-sectional area of ​​the tunnel. Calculate the current actual dust control wind speed using the following formula. : in, The dust extraction air volume of the dust removal fan. The axial airflow of the air control device. This refers to the net cross-sectional area of ​​the tunnel. The current actual dust control wind speed With the optimal dust control wind speed threshold A comparison is made, and based on the comparison results and the dust concentration monitored in real time by the dust concentration sensor... The system generates control commands to dynamically adjust the operating frequency of the forced-in fan, the operating frequency of the dust removal fan, and the radial and axial blade angles of the air control device, thereby adjusting the actual dust control airflow speed. Approaching and stabilizing at the optimal dust control wind speed threshold nearby.

9. The long-pressure short-extraction ventilation and dust removal system according to claim 8, characterized in that: The data sensing and control platform also integrates a wireless communication module for remote real-time transmission of operating parameters and alarm information to the monitoring center; when the dust concentration... C When the safety threshold is exceeded or the control fails, the system will automatically send an early warning signal and activate the backup ventilation mode.

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