Blade angle-wind resistance characteristic curve-based louvered air window air passing quantity regulation and control method and device

Abstract

The invention relates to a louvered air window air passing quantity regulation and control method based on a blade angle-air resistance characteristic curve, in particular to the technical field of mine ventilation. The method comprises the following steps: firstly, fitting ventilation parameters of an air window area to construct a blade angle-air resistance characteristic curve and a blade angle-air window air passing volume prediction curve, and obtaining the real-time air passing volume of an air window according to the blade angle-air resistance characteristic curve and roadway pressure difference; secondly, the target air volume and a target air volume error threshold value are set, and the blade angle is regulated and controlled for the first time according to the target air volume through a blade angle-air window air volume prediction curve; and finally, starting an air window excess air volume equivalent regulation process by utilizing the relationship between the air volume regulation error and the air volume error threshold value, repeatedly regulating the blade angle until the required excess air volume, and ending the equivalent regulation process. Therefore, accurate and intelligent regulation and control of the air volume of the mine laneway are achieved, accurate supply of the air volume needed by an air using site is ensured, and an accurate air volume regulation and control method and an execution device are provided for construction of an intelligent ventilation system.

Description

Technical Field

[0001] The invention belongs to the technical field of mine ventilation, and in particular relates to a method for controlling the excess air volume of a louvered wind window based on a blade angle-wind resistance characteristic curve. Background Art

[0002] As one of the main ventilation structures in mines, wind windows play a key role in regulating the air volume of ventilation systems. With the acceleration of the construction of intelligent mines, various remote-controlled wind windows have gradually been adopted by major mining companies. By installing cameras, display screens and wind window air volume monitoring equipment, remote monitoring and control of wind windows can be achieved, greatly improving the centralized control efficiency of ventilation systems.

[0003] At present, the more common method for regulating the excess air volume of wind windows in coal mines is to install a wind speed sensor in front of the wind window, calculate the real-time excess air volume based on the data uploaded by the wind speed sensor, and then monitor and adjust the excess air volume of the wind window by remotely controlling the opening area of ​​the wind window, and finally achieve the purpose of remote air volume regulation. However, in actual applications, although the wind speed sensor meets the accuracy requirements of industry standards, the wind speed sensor is affected by factors such as wind flow disturbance and dust, and the calculated excess air volume data of the wind window fluctuates greatly, which has an adverse effect on the monitoring and regulation of the system. Invention patent CN113236335A discloses a PID control method for continuously adjusting the wind window and branch air volume for mining louver type, which negatively feedback controls the blades through the air volume calculated by the inversion of the differential pressure sensor, and repeatedly adjusts until the target excess air volume is approached. The blade angle adjustment amount taken each time needs to be optimized according to the algorithm, and a single adjustment amount needs to be set separately for different wind windows. However, after the blade angle is adjusted, the wind window wind area and the equivalent wind resistance of the wind window area change accordingly, causing the pressure sensor monitoring value to fluctuate. It is necessary to wait for a certain reaction time for the data to stabilize before feeding back the pressure monitoring value to the PID controller for the next adjustment. Therefore, the time for repeated adjustments is relatively long. Furthermore, the method of measuring the pressure difference in this patented technical solution is to first install a pressure sensor in the parameter measurement area for data collection, and then transmit the data to the pressure difference sensor for pressure difference calculation. However, in the actual production process underground in coal mines, since the adjustable wind windows are mostly installed in the return air lane of the coal mining working face, the return air lane of the excavation working face, or the main return air connection lane of the mining area, the wind flow disturbance, dust concentration, and air humidity in the installation area are relatively high. Therefore, the poor air environment has an adverse effect on the accuracy of the pressure sensor, the stability of data transmission, and the maintenance of equipment after installation. Summary of the invention

[0004] In view of this, the technical problem to be solved by the present invention is: the existing control process of mine wind windows mainly uses wind speed sensors or pressure differential sensors connected to pressure sensors, but wind speed sensors and pressure sensors are easily affected by environmental factors such as wind flow disturbances and dust, resulting in large fluctuations in the calculated wind window excess air volume data, reducing the accuracy of remote monitoring and control of the wind window, and the system control time is relatively long.

[0005] Therefore, an object of the present invention is to provide a method for accurately controlling the excess air volume of a louvered window.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] Firstly, the blade angle-wind resistance characteristic curve and the blade angle-wind window excess air volume prediction curve are constructed by measuring and fitting the ventilation parameters of the required wind window area, and the real-time excess air volume of the wind window is obtained according to the blade angle-wind resistance characteristic curve and the roadway pressure difference; secondly, the target air volume and the target air volume error threshold are set, and the blade angle is initially adjusted according to the target air volume using the blade angle-wind window excess air volume prediction curve; finally, the air volume control error is calculated, and the relationship between the air volume error threshold is used to start the wind window excess air volume equalization control process to control the blade angle, and the blade angle is repeatedly adjusted until the wind window excess air volume equalization control process is completed.

[0008] The beneficial effects of the method for regulating the wind window blades of this technical solution are:

[0009] Since the blade angle-equivalent wind resistance characteristic curve and the blade angle-wind window air volume prediction curve are constructed, the calculated real-time wind window air volume is more accurate; after determining the target air volume, a preliminary judgment can be made on the blade angle range required to achieve the target air volume, and then fine-tuning can be performed, which can greatly shorten the air volume control time; and the construction of the air volume prediction curve makes it easy for users to intuitively grasp the wind window control capability and air volume adjustment range, providing a fast and effective means for precise control of regional air volume in mine ventilation systems.

[0010] The present invention also utilizes a differential pressure sensor to measure the tunnel pressure difference, thereby avoiding the risk of inaccurate wind speed monitoring data due to dust accumulation on the wind speed sensing element of the wind speed sensor; and the adverse factors caused by wind flow disturbance on the wind speed sensing element of the wind speed sensor, thereby improving the accuracy of the tunnel pressure difference measurement and facilitating the daily use and maintenance of the collection equipment.

[0011] The present invention also connects an external pressure differential parameter collection air pipe to the pressure differential sensor to collect the environmental pressure differential parameters at the air pipe port, which can reduce the large fluctuation and instability of the monitoring data during the wind speed monitoring process; and compared with the pressure differential sensor collection method connected to the pressure sensor, this pressure differential collection method overcomes the problem of long adjustment time caused by the fluctuation of the pressure sensor monitoring value when continuously adjusting the wind window blades, and a certain reaction time is required to stabilize the data before transmission.

[0012] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings, wherein:

[0014] Figure 1 It is a flow chart of the method for controlling the excess air volume of a louvered window based on the blade angle-wind resistance characteristic curve proposed by the present invention;

[0015] Figure 2 This is a schematic diagram of the method for controlling the excess air volume of a louvered window based on a blade angle-wind resistance characteristic curve proposed by the present invention;

[0016] Figure 3 A schematic diagram of the arrangement of measurement points and the measurement method for measuring ventilation parameters proposed in the present invention;

[0017] Figure 4 The wind resistance characteristic curve corresponding to the blade angle and the wind window excess air volume prediction curve proposed by the present invention;

[0018] Figure 5 This is a schematic diagram of the installation layout of the wind window area equipment proposed by the present invention;

[0019] Figure 6 A front view of the window of the effective wind passing area at the opening angle of the louver window proposed by the present invention;

[0020] Figure 7 A side view of the window with an effective wind passing area and an opening angle of the shutter window proposed by the present invention;

[0021] Figure 8 A schematic diagram of the structure of the louvered window excess air volume control device based on the blade angle-wind resistance characteristic curve provided by the present invention;

[0022] Figure markings: 1-infrared camera, 2-wind window air control box, 3-wind window electric control box, 4-sound and light alarm, 5-pressure difference sensor, 6-louvered adjustable wind window, 7-air inlet side pressure difference parameter collection trachea port, 8-return air side pressure difference parameter collection trachea port, A-air inlet side parameter measurement section, B-return air side parameter measurement section. DETAILED DESCRIPTION

[0023] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways 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 only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0024] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0025] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0026] For the method for controlling the excess air volume of a louvered window based on the blade angle-wind resistance characteristic curve provided by the present invention, please refer to Figure 1 to Figure 7First, the wind resistance of the wind window area and the sum of the wind window wind resistance are regarded as equivalent wind resistance, and the section of the wind window inlet and return air side with flat wind flow and stable airflow is selected for ventilation parameter measurement, and the corresponding equivalent wind resistance under different blade angle conditions is calculated, and the blade angle-wind resistance characteristic curve and the blade angle-wind window over-air volume prediction curve are fitted; secondly, a pressure difference sensor 5 is added to monitor the roadway pressure difference between the two measurement sections, and the wind window real-time over-air volume is calculated according to the wind pressure monitored at different blade angles and the corresponding equivalent wind resistance; then, the target air volume and air volume error threshold are set, and the wind window louver angle is preliminarily determined according to the blade angle-wind window over-air volume prediction curve and the first regulation is performed; finally, the blade angle is adjusted by equal value by calculating and analyzing the relationship between the air volume control error and the air volume error threshold, and the blade angle is increased or decreased by equal value until the real-time over-air volume of the wind window meets the target air volume error threshold range, and the regulation is terminated.

[0027] Based on the method for regulating the excess air volume of a louvered window based on the blade angle-wind resistance characteristic curve provided by the present invention, the following steps are further provided to achieve regulation of the excess air volume of a louvered window based on the blade angle-wind resistance characteristic curve:

[0028] S1: By measuring different blade angles θ i Hourly wind window air volume Q i , fitting blade angle-wind window air flow prediction curve Q i =F(θ i );Then the sum of the wind resistance of the air inlet and return air side of the wind window area and the wind window wind resistance is defined as the equivalent wind resistance R i , by measuring different blade angles θ i The tunnel pressure difference △h between the parameter measurement sections of the air window inlet side and return air side i , combined with the wind window air volume Q i , calculate the equivalent wind resistance R corresponding to different blade angles i， , fitting blade angle-wind resistance characteristic curve R i =f(θ i );

[0029] S2: Add a pressure difference sensor 5 to monitor the tunnel pressure difference △h in real time j 、Wind window blade angle θ j , calculate the real-time air volume Q j =(△h j / R j ) 1 / 2 , windshield equivalent wind resistance R j Using the blade angle-wind resistance characteristic curve R in S1 i =f(θ i )get;

[0030] S3: Set the target airflow Q0 and airflow error threshold δ0 for the wind window. According to the relevant provisions of the automatic wind window section in the Technical Specifications for Intelligent Ventilation Construction in Coal Mines, "it is advisable to fine-tune the actuator by remote control to accurately adjust the airflow area of ​​the wind window. The error of adjusting the air volume should be less than ±5% of the actual adjusted air volume", so the value of the airflow error threshold δ0 is preferably 5%;

[0031] S4: Based on the blade angle-wind window air flow prediction curve Q i =F(θ i ) Preliminarily and quickly predict the blade angle θ0 corresponding to the target air flow Q0, and perform the first adjustment on the blade angle;

[0032] S5: Calculate the air volume control error δ j =|Q j -Q0| / Q0×100%, when the air volume control error δ j When the air volume error threshold is ≤δ0, there is no need to adjust the wind window blade angle θ j , the air volume control ends; when the air volume control error δ j >When the air volume error threshold δ0, the wind window excess air volume equalization control process is started, and the wind window excess air volume equalization control process is implemented in the following way:

[0033] When calculating the real-time excess air volume Q j <Target excess air volume Q0 and air volume control error δ j >When the air volume error threshold δ0, adjust the wind window to increase the wind window blade angle θk j+1 =θ j +k°; when calculating the real-time excess air volume Q j > Target excess air volume Q0 and air volume control error δ j >When the air volume error threshold δ0, adjust the wind window to reduce the wind window blade angle θ j+1 =θ j -k°. Since the angle adjustment accuracy of the built-in encoder of the common louvered wind window for coal mines on the market is 1°, the angle of the wind window blade is preferably set to 1° each time in the wind window excess air volume equalization control process, that is, k = 1°;

[0034] S6: Repeat S5 until the air volume control error δ j When the air volume error threshold is less than or equal to δ0, the air volume control ends.

[0035] Furthermore, for the blade angle-wind resistance characteristic curve R in S1, i =f(θ i ) and blade angle-wind window air flow prediction curve Q i =F(θ i ), which is achieved by the following determination method:

[0036] S11: Select the air inlet side parameter measurement section A within 5-10m from the air window to the air window, and the return air side parameter measurement section B within 10-15m from the air window to the return air side, and ensure that the airflow in the two sections is stable and the cross section of the roadway is flat, as the ventilation parameter measurement section;

[0037] S12: Adjust the angle of the wind window blades θ i The angle θ of each blade is 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90°. i When the tunnel pressure difference △h between the parameter measurement section A on the air inlet side and the parameter measurement section B on the return air side is i Wind window air volume Q i , calculate each blade angle θ separately i The corresponding equivalent wind resistance R i =△h i / Q i 2 ;

[0038] S13: Use the least squares method to perform nonlinear curve fitting to obtain the blade angle-wind resistance characteristic curve R i =f(θ i ) and blade angle-wind window air flow prediction curve Q i =F(θ i ).

[0039] Due to the different calculation methods of blade angle-wind resistance characteristic curve and blade angle-wind window over-air volume prediction curve obtained by fitting in different tunnel environments and wind window specifications, such as Figure 4 As shown, the calculation formula of this embodiment is measured and solved by taking the louvered adjustable wind window 1 at the on-site measurement point as an example.

[0040] The calculation formula for fitting the blade angle-wind resistance characteristic curve is:

[0041] R i =-1137.24+1269.78e θ / 250.63

[0042] The calculation formula for fitting the blade angle-wind window air flow prediction curve is:

[0043] Q i =9.89+109.71e -x / 13.36 -0.3e x / 30.41

[0044] The length of a single blade of the wind window at the on-site measurement point is 1.1m, the width is 0.174m, the number of blades is 4, and the blade opening angle adjustment range is 0° to 90°. The cross-sectional area of ​​section B is 13.39m when the air volume is calculated using the return air side parameters.2 , the cross-sectional area of ​​the air inlet side parameter measurement section A is equal. The wind window blade angles are adjusted to 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90° respectively. The original measurement data used in the above fitting blade angle-wind resistance characteristic curve are shown in Table 1.

[0045] Table 1

[0046] Serial number Blade Angle Measured wind speed Measured air volume Air pressure at section A Section B pressure Roadway pressure difference Equivalent wind resistance 1 0° 0.16 2.16 90092 89537 555 118.99 2 10° 0.22 2.97 90085 89536 549 62.78 3 20° 0.30 4.05 90079 89535 544 32.45 4 30° 0.39 5.26 90064 89524 540 19.76 5 40° 0.44 5.93 90076 89531 545 15.19 6 50° 0.50 6.74 90072 89540 532 11.68 7 60° 0.56 7.55 90068 89526 542 9.49 8 70° 0.69 9.31 90054 89517 537 6.28 9 80° 0.70 9.44 90043 89512 531 6.03 10 90° 0.82 11.06 90041 89506 535 4.39

[0047] Adjust the wind window blade angles to 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90° respectively. After the airflow stabilizes, measure a set of air pressure values ​​of the air inlet side parameter measurement section A and the return air side parameter measurement section B at every 10 seconds for each angle. A total of three groups are measured, and the pressure difference is calculated. The average value is taken as the corresponding pressure difference of the current blade opening angle, where the air inlet side parameter measurement section A is within 5-10m from the wind window, and the return air side channel parameter measurement section B is within 10-15m from the wind window. The original data used for the above fitting blade angle-wind window over-air volume prediction curve is shown in Table 2.

[0048] Table 2

[0049] Serial number Blade Angle The first group of pressure difference The second group pressure difference The third group pressure difference Average pressure difference Equivalent wind resistance Wind window air volume 1 0° 555.04 555.16 558.37 556.19 118.99 129.72 2 10° 562.62 558.40 559.37 560.13 62.78 179.22 3 20° 532.42 532.84 529.81 531.69 32.45 242.87 4 30° 506.64 506.54 502.81 505.33 19.76 303.42 5 40° 548.96 543.77 548.42 547.05 15.19 360.07 6 50° 543.68 539.40 538.45 540.51 11.68 408.16 7 60° 567.66 570.43 572.33 570.14 9.49 465.06 8 70° 485.71 489.49 483.43 486.21 6.28 527.94 9 80° 617.00 612.75 613.84 614.53 6.03 605.71 10 90° 579.17 580.16 574.79 578.04 4.39 688.49

[0050] In S2, the tunnel pressure difference △h is monitored and measured j . Preferably, the differential pressure sensor 5 is installed on the side of the alley 1m away from the wind wall on the air inlet side of the wind window. The differential pressure sensor 5 is externally connected to two differential pressure parameter collection air pipes as environmental parameter collection ports. Compared with the probe or wind speed sensor element below the wind speed sensor, it is not easy to accumulate dust, which is convenient for daily use and maintenance of the equipment. This embodiment uses the GPD1000 mining differential pressure sensor with a measurement range of 0.00-1000Pa and an accuracy of up to 0.01Pa; it has advantages in sensor accuracy, layout method, data transmission stability and equipment maintenance after installation. The two ends of the two differential pressure parameter collection air pipes external to the differential pressure sensor 5 extend to the air inlet side and the return air side of the wind window respectively; the port of the differential pressure parameter collection air pipe on the air inlet side is the air inlet side differential pressure parameter collection air pipe port 7; the port of the differential pressure parameter collection air pipe on the return air side is the return air side differential pressure parameter collection air pipe port 8. Extend the air pipe port 7 for collecting the pressure difference parameters on the inlet side to the average wind speed line of the inlet side parameter measurement section A determined in S11; extend the air pipe port 8 for collecting the pressure difference parameters on the return side to the average wind speed line of the return side parameter measurement section B determined in S11, and the measurement effect is better.

[0051] How to set the target airflow rate Q0 of the S3 wind window:

[0052] The maximum value of the wind window target air volume Q0 is θ i The wind window air volume Q when the angle is 90° 0max =Q θi＝90° According to the relevant provisions of the Coal Mine Safety Regulations, the minimum wind speed in the rock tunnel during excavation shall not be less than 0.15m / s, and the minimum wind speed in the coal tunnel and semi-coal rock tunnel during excavation shall not be less than 0.25m / s. Therefore, if the wind window is installed in the coal tunnel, the minimum value of the target air volume Q0 is Q 0min =0.25×min{S A , S B}; If the wind window is installed in a rock tunnel, the minimum value of the target air volume Q0 is Q 0min =0.15×min{S A , S B}, where S A is the area of ​​the section A for measuring the parameters on the air inlet side, S B The return air side parameters are measured by the area of ​​section B.

[0053] like Figure 8 As shown, the embodiment of the present application also provides a schematic diagram of a louvered wind window over-air volume control device based on a blade angle-wind resistance characteristic curve. The control device mainly includes a first calculation module, a second calculation module, a first adjustment module and a second adjustment module, specifically:

[0054] The first calculation module is used to measure different blade angles and the corresponding wind window air volume at different blade angles, and to fit the blade angle-wind window air volume prediction curve function module; the pressure difference on both sides of the wind window is measured at different blade angles, and the equivalent wind resistance corresponding to different blade angles is calculated in combination with the wind window air volume, and the blade angle-wind resistance characteristic curve function module is fitted; wherein the equivalent wind resistance is the sum of the wind resistance of the roadway on the inlet and return air sides of the wind window area and the wind window wind resistance;

[0055] The second calculation module is used to monitor the blade angle in real time, measure the tunnel pressure difference between the parameter measurement section on the air inlet side and the parameter measurement section on the return air side, and call the blade angle-wind resistance characteristic curve function module of the first calculation module to calculate the equivalent wind resistance; and then use the relationship between the tunnel pressure difference and the equivalent wind resistance to solve the real-time wind volume of the wind window; wherein the tunnel pressure difference is measured by a pressure difference sensor 5 with parameter collection air pipes connected at both ends;

[0056] The first adjustment module is used to set the target air volume and the air volume error threshold, and call the blade angle-wind window excessive air volume prediction curve function module of the first calculation module to preliminarily calculate the blade angle to be adjusted, and start the wind window electric control box 3 to complete the first adjustment of the wind window blades;

[0057] The second regulating module is used to receive the real-time excess air volume value signal from the second calculation module, as well as the target air volume and air volume error threshold signal set by the first regulating module; calculate the air volume control error according to the real-time excess air volume value and the target air volume, compare the air volume control error with the air volume error threshold, start the wind window electric control box 3 to perform equal value adjustment on the blade angle; repeat the equal value adjustment steps until the air volume control error meets the air volume error threshold range, and then end the control.

[0058] If the real-time excess air volume cannot be automatically adjusted to the target air volume required for the tunnel, it can also be manually adjusted in the underground tunnel through the wind window air control box 2 until the required air volume is adjusted to the tunnel. In order to ensure the safety of operations under the window, an audible and visual alarm 4 is also provided near the wind window. When the wind window electric control box 3 starts to execute the blade angle adjustment instruction, the audible and visual alarm 4 emits an audible and visual alarm to remind underground workers to stay away from the wind window to avoid safety accidents. The "Guidelines for Intelligent Construction of Coal Mines" points out that the remote adjustment of wind windows in the intelligent ventilation system needs to be equipped with a video monitoring function. Therefore, the wind window area equipment also includes an infrared camera 1, which is mainly used to monitor the wind window status in real time when the wind window excess air volume is remotely controlled; the infrared camera 1 can also realize intelligent linkage control with other equipment.

[0059] The mine ventilation system itself is a dynamic production process. Various underground production and transportation equipment, including personnel walking and air door opening and closing, may cause a certain degree of disturbance to the air volume of each branch in the system. Therefore, no matter what monitoring method is used, the sensor monitoring value is dynamically fluctuating, and the monitoring value can only be optimized from the perspective of fluctuation frequency. The method for regulating the excess air volume of louvered wind windows based on the blade angle-wind resistance characteristic curve proposed in the present invention first constructs an air volume prediction model, and can make a preliminary judgment on the blade angle range required to achieve the target excess air volume after determining the target excess air volume, and then perform fine-tuning, which can greatly shorten the air volume regulation time; the present invention measures the equivalent wind resistance on site, fits the blade angle-equivalent wind resistance characteristic curve, and then uses the pressure difference sensor to transmit the real-time tunnel pressure difference to invert the air volume, which can appropriately filter the wind speed fluctuation and reduce the frequency of abnormal values; the present invention also uses a high-precision pressure difference sensor to monitor the tunnel pressure difference, which can truly reflect the pressure changes in the wind window area with an accuracy of up to 0.01Pa; the present invention uses two pressure difference parameter collection air pipes connected to the pressure difference sensor as the environmental parameter collection port, which has advantages in the accuracy of the sensor itself, the stability of data transmission and the maintenance of equipment after installation.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. A method for controlling the air volume of a shutter type wind window based on a blade angle-wind resistance characteristic curve, characterized in that The following steps are involved: The tunnel pressure difference is measured by using a pressure difference sensor (5) with parameter collection air pipes connected at both ends; The blade angle-wind resistance characteristic curve and the blade angle-wind window excess air volume prediction curve are constructed by measuring and fitting the ventilation parameters of the wind window area. The real-time air flow through the wind window is calculated based on the roadway pressure difference, blade angle-wind resistance characteristic curve; Set the target air volume and air volume error threshold; The predicted blade angle is obtained based on the target air volume and the blade angle-window air volume prediction curve, and the blade angle is adjusted for the first time; Calculate the air volume control error, and use the relationship between it and the air volume error threshold to start the wind window excess air volume equalization control process to control the blade angle; Repeat the steps of the wind window excess air volume equal value control process until the required excess air volume is reached, and end the wind window excess air volume equal value control process.

2. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 1, characterized in that: The steps of measuring and fitting the ventilation parameters of the wind window area to construct the blade angle-wind resistance characteristic curve and the blade angle-wind window excess air volume prediction curve are specifically as follows: The sum of the wind resistance in the wind window area and the wind window wind resistance is regarded as the equivalent wind resistance R i , measure different blade angles θ i The tunnel pressure difference △h between the parameter measurement sections of the air window inlet side and return air side i Wind window air volume Q i , calculate the equivalent wind resistance R corresponding to different blade angles i , fitting blade angle-wind resistance characteristic curve R i =f(θ i ) and blade angle-wind window air flow prediction curve Q i =F(θ i ); The step of calculating the real-time air flow rate of the wind window according to the roadway pressure difference and the blade angle-wind resistance characteristic curve is specifically as follows: Real-time monitoring of tunnel pressure difference △h j 、Wind window blade angle θ j , calculate the real-time air volume Q j =(△h j / R j ) 1 / 2 , where the windshield equivalent wind resistance R j Using the blade angle-wind resistance characteristic curve R i =f(θ i )get; The predicted blade angle is obtained according to the target air volume and the blade angle-wind window air volume prediction curve, and the first step of adjusting the blade angle is specifically as follows: According to the blade angle-wind window air flow prediction curve Q i =F(θ i ) predict the blade angle θ0 corresponding to the target air flow rate Q0, and adjust the blade angle to θ0; The air volume control error is calculated, and the relationship between the air volume control error and the air volume error threshold is used to start the wind window excess air volume equal value control process to control the blade angle, specifically: Calculate the air volume control error δ j =|Q j -Q0| / Q0×100%, when the air volume control error δ j > air volume error threshold δ0, start the window over-air volume equalization control process; when the air volume control error δ j When the air volume error threshold δ0 is less than or equal to the air volume error threshold, the wind window excess air volume equal value control process is terminated.

3. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 2, characterized in that: The wind window excess air volume equal value control process is specifically as follows: When the real-time excess air volume Q j <Target excess air volume Q0 and air volume control error δ j >When the air volume error threshold δ0, increase the blade angle θ j+1 =θ j +k°; calculate the real-time excess air volume Q j > Target excess air volume Q0 and air volume control error δ j >When the air volume error threshold δ0, adjust the wind window blade angle θ j+1 =θ j -k°, where k is the angle of the blade adjusted each time.

4. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 2, characterized in that: The blade angle-wind resistance characteristic curve R i =f(θ i ), the blade angle-wind window air volume prediction curve Q i =F(θ i ) is implemented in the following way: Select the air inlet side parameter measurement section A within 5-10m from the air window to the air window, and the return air side parameter measurement section B within 10-15m from the air window to the return air side as the ventilation parameter measurement section; Adjust the windshield blade angle θ i The angle θ of each blade is 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90°. i The tunnel pressure difference △h between the air inlet side parameter measurement section A and the return air side parameter measurement section B i Wind window air volume Q i , calculate each blade angle θ separately i The corresponding equivalent wind resistance R i =△h i / Q i 2 ; The blade angle-wind resistance characteristic curve R is obtained by performing nonlinear curve fitting using the least squares method. i =f(θ i ) and blade angle-wind window air flow prediction curve Q i =F(θ i ).

5. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 4, characterized in that: The tunnel pressure difference △h j The pressure difference sensor (5) is measured. The pressure difference sensor (5) is installed on the side of the tunnel on the air inlet side of the wind window. The pressure difference sensor (5) is externally connected to two pressure difference parameter collection air pipes. The two ends of the pressure difference parameter collection air pipes extend to the air inlet side and the return air side of the wind window respectively. The air inlet side pressure difference parameter collection air pipe port (7) extends to the average wind speed line of the air inlet side parameter measurement section A; the return air side pressure difference parameter collection air pipe port (8) extends to the average wind speed line of the return air side parameter measurement section B.

6. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 4, characterized in that: θ i When the angle is 90°, the target airflow rate Q0 of the wind window is the maximum value, that is, Q 0max =Q θi＝90° ; If the wind window is installed in the coal lane, the minimum target air volume Q0 is Q 0min =0.25×min{S A , S B }; If the wind window is installed in a rock tunnel, the minimum value of the target air volume Q0 is Q 0min =0.15×min{S A , S B }, where S A is the area of ​​the section A for measuring the parameters on the air inlet side, S B The return air side parameters are measured by the area of ​​section B.

7. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 2, characterized in that: The air volume error threshold δ0=5%.

8. The method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve according to claim 3, characterized in that: In the wind window air volume equal value control process, the blade angle is adjusted each time by k=1°.

9. A computer system comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method according to any one of claims 1 to 8.

10. A louvered wind window over-air volume control device based on a blade angle-wind resistance characteristic curve comprises a first calculation module, a second calculation module, a first adjustment module and a second adjustment module, characterized in that: The first calculation module is used to measure different blade angles and the corresponding wind window air volume at different blade angles, and to obtain a blade angle-wind window air volume prediction curve function module by fitting; The pressure difference on both sides of the wind window at different blade angles is measured, and the equivalent wind resistance corresponding to different blade angles is calculated in combination with the wind volume passing through the wind window, and the blade angle-wind resistance characteristic curve function module is fitted; the equivalent wind resistance is the sum of the wind resistance of the roadway on the inlet and return air sides of the wind window area and the wind resistance of the wind window; The second calculation module is used to monitor the blade angle in real time, measure the tunnel pressure difference between the parameter measurement section on the air inlet side and the parameter measurement section on the air return side, and call the blade angle-wind resistance characteristic curve function module of the first calculation module to calculate the equivalent wind resistance; and then use the relationship between the tunnel pressure difference and the equivalent wind resistance to solve the real-time wind flow rate of the wind window; wherein the tunnel pressure difference is measured by a pressure difference sensor (5) with parameter collection air pipes connected at both ends; The first adjustment module is used to set the target air volume and the air volume error threshold, and call the blade angle-wind window excessive air volume prediction curve function module of the first calculation module to calculate the blade angle to be adjusted, and start the wind window electric control box (3) to complete the first adjustment of the wind window blades; The second regulating module is used to receive the real-time excess air volume value signal from the second calculating module, as well as the target air volume and air volume error threshold signals set by the first regulating module; calculate the air volume control error according to the real-time excess air volume value and the target air volume, compare the air volume control error with the air volume error threshold, start the wind window electric control box (3) to perform equal value adjustment on the blade angle; repeat the equal value adjustment steps until the air volume control error meets the air volume error threshold range, and then end the control.

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