Louvered air window air passing amount regulation method and device based on blade angle-air resistance characteristic curve

Abstract

The present application relates to the louvered air window over-flow regulation method based on the blade angle-wind resistance characteristic curve, and particularly relates to the mine ventilation technical field. Firstly, the blade angle-wind resistance characteristic curve and the blade angle-air window over-flow prediction curve are constructed by fitting the ventilation parameters of the air window area, and the real-time over-flow of the air 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 regulated according to the target air volume and the blade angle-air window over-flow prediction curve; finally, the air volume regulation error and the air volume error threshold are used to start the air window over-flow equivalent regulation process, and the blade angle is repeatedly regulated until the required over-flow, and the equivalent regulation process is ended. Thus, the mine roadway air volume is accurately and intelligently regulated, the required air volume of the air using site is accurately supplied, and an accurate air volume regulation method and an execution device are provided for the construction of the intelligent ventilation system.

Description

Technical Field

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

[0002] As one of the primary ventilation structures in mines, windshields play a key role in regulating air volume in ventilation systems. With the accelerated development of intelligent mines, various remote-controlled windshields are increasingly being adopted by major mining companies. By installing cameras, display screens, and windshield air volume monitoring equipment, remote monitoring and control of windshields are possible, significantly improving the efficiency of centralized ventilation system management and control.

[0003] At present, the more common method for controlling 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, ultimately achieving the purpose of remote air volume control. 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 control work of the system. Invention patent CN113236335A discloses a PID control method for continuously adjusting the louver-type wind window and branch air volume for mining. The air volume calculated by inversion of the differential pressure sensor is used to negatively feedback control the blades, and the adjustment is repeated 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 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 the pressure monitoring value back to the PID controller to perform the next adjustment. Therefore, the time for repeated adjustment 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 channel of the coal mining working face, the return air channel of the excavation working face, or the main air inlet and return connecting channel 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 mine air window control process 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 air window excess air volume data, reducing the accuracy of remote monitoring and control of the air window, and the system control time is relatively long.

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

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

[0007] Firstly, the ventilation parameters of the required window area are measured and fitted to construct the blade angle-wind resistance characteristic curve and the blade angle-window excess air volume prediction curve, and the real-time window excess air volume 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-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 window excess air volume equalization control process to control the blade angle, and the blade angle is repeatedly adjusted until the window excess air volume equalization control process is completed.

[0008] The beneficial effects of the method for controlling the windshield 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 have been 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 easier 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 the mine ventilation system.

[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 ambient pressure differential parameters at the air pipe port, which can reduce the large fluctuations 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, which requires a certain reaction time to stabilize the data before transmission.

[0012] Other advantages, objects, and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art upon examination of the following description or may be learned from practice of the present invention. The objects and other advantages of the present invention may 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 with reference to the accompanying drawings, in which:

[0014] Figure 1 This 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 diagram of the structure of the method for controlling the excess air volume of a louvered window based on the blade angle-wind resistance characteristic curve proposed in the present invention;

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

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

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

[0019] Figure 6 This is a front view of the window with effective wind passing area and opening angle of the louver window proposed by the present invention;

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

[0021] Figure 8 A schematic diagram of the structure of the louvered window air flow rate 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 means of 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 are only schematic illustrations of the basic concept of the present invention, and the following embodiments and features in the embodiments can be combined with each other without conflict.

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

[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 there are terms such as "upper", "lower", "left", "right", "front", "back", etc. indicating directions or positional relationships, they are based on the directions or positional relationships 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 direction, be constructed and operate in a specific direction. Therefore, the terms describing the positional 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 airflow rate of louvered windows based on the blade angle-wind resistance characteristic curve provided by the present invention, please refer to Figures 1 to 7First, the sum of the wind resistance in the wind window area and the wind window wind resistance is regarded as the equivalent wind resistance. A flat and stable wind flow section on the inlet and return air side of the wind window is selected for ventilation parameter measurement. 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 excess 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. The real-time wind window excess air volume is calculated based on 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 excess air volume prediction curve and the first adjustment 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 wind window excess air volume meets the target air volume error threshold range and the adjustment is terminated.

[0027] Based on the method for controlling the airflow rate 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 control the airflow rate of the 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-window air flow prediction curve Q i =F(θ i ); then the sum of the wind resistance of the wind window area on the air inlet side and the return air side 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 wind window inlet side and return air side i , combined with the windshield 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 roadway pressure difference △h in real time j 、Wind window blade angle θ j , calculate the real-time air flow 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 rate Q0 and airflow error threshold δ0 for the air window. According to the relevant provisions of the automatic air window section in the "Technical Specifications for Intelligent Ventilation Construction in Coal Mines", "the airflow area of ​​the air window should be precisely adjusted by remotely controlling the actuator. The adjustment error of the airflow should be less than ±5% of the actual adjustment airflow rate." Therefore, the airflow error threshold δ0 is preferably set to 5%.

[0031] S4: Based on the blade angle-window air flow prediction curve Q i =F(θ i ) Preliminary and rapid prediction of the blade angle θ0 corresponding to the target airflow Q0, and the first adjustment of 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 δ0 is less than or equal to the wind volume error threshold, 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 is reached, the wind window excess air volume equalization control process is started. 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 louvered windshield commonly used in coal mines on the market is 1°, the angle of the windshield blades is preferably set to 1° each time in the windshield over-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 δ0 is less than or equal to the air volume error threshold, the air volume control ends.

[0035] Furthermore, for the blade angle-wind resistance characteristic curve R fitted in S1 i =f(θ i ) and blade angle-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 in the air inlet side tunnel and the return air side parameter measurement section B within 10-15m from the air window in the return air side tunnel. Ensure that the airflow in both sections is stable and the tunnel cross-section is flat. These sections are used as ventilation parameter measurement sections.

[0037] S12: Adjust the windshield blade angle θ i 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90°, and measure the angle θ of each blade separately i When 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 ;

[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-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 windshield 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-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 windshield 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 measured by the return air side parameters is 13.39m2 The air inlet side parameter measuring section A has an equal area. The air window blade angle is adjusted to 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90°, respectively. The original data used for fitting the blade angle-air 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 Air pressure at section B Tunnel 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] The air window blade angle is adjusted to 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90°, respectively. After the air flow is stable, a group of air pressure values of the air inlet side parameter measuring section A and the air return side parameter measuring section B is measured every 10 seconds for each angle. A total of three groups are measured, the pressure difference value is calculated, and the average value is taken as the corresponding pressure difference of the current blade opening angle. The air inlet side parameter measuring section A is within a range of 5-10 m from the air window, and the air return side parameter measuring section B is within a range of 10-15 m from the air window. The original data used for fitting the blade angle-air window air flow prediction curve are shown in Table 2.

[0048] Table 2

[0049] Serial number Blade angle The first group of pressure difference The second set of pressure difference The third group pressure difference Average pressure difference Equivalent wind resistance Windshield 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] For S2, the monitored and measured airway pressure difference Ah j Preferably, the pressure difference sensor 5 is installed on the air inlet side of the air window at a position 1 m away from the air wall on the sidewall, and two pressure difference parameter collection air pipes are connected to the pressure difference sensor 5 as environmental parameter collection ports. Compared with the probe below the air speed sensor or the air speed sensor element, it is not easy to accumulate dust, and it is convenient for daily use and maintenance of the equipment. In this embodiment, a GPD1000 mine pressure difference sensor is selected, with a measurement range of 0.00-1000 Pa and an accuracy of 0.01 Pa; the sensor has advantages in accuracy, layout method, data transmission stability and equipment maintenance after installation. The two ends of the two pressure difference parameter collection air pipes connected to the pressure difference sensor 5 extend to the air inlet side and the air return side of the air window, respectively; the port of the pressure difference parameter collection air pipe located on the air inlet side is the air inlet side pressure difference parameter collection air pipe port 7; the port of the pressure difference parameter collection air pipe located on the air return side is the air return side pressure difference parameter collection air pipe port 8. 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 measuring section A determined in S11; the air return side pressure difference parameter collection air pipe port 8 extends to the average wind speed line of the air return side parameter measuring section B determined in S11, and the measurement effect is better.

[0051] For the setting method of the target air flow Q0 of the air window of S3:

[0052] The maximum value of the wind window target air flow Q0 is θ i Wind window air flow rate 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. For the coal tunnel and semi-coal rock tunnel during excavation, the minimum wind speed shall not be less than 0.25m / s. Therefore, if the wind window is installed in the coal tunnel, the minimum target air flow Q0 is Q 0min =0.25×min{S A , S B If the windshield is installed in a rock tunnel, the minimum target airflow rate Q0 is Q 0min =0.15×min{S A , S B}, where S A is the area of ​​the cross section A for measuring 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 window air flow 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 window airflow at different blade angles, and to fit a blade angle-window airflow prediction curve function module; the pressure difference on both sides of the window at different blade angles is measured, and combined with the window airflow, the equivalent wind resistance corresponding to different blade angles is calculated, and a blade angle-wind resistance characteristic curve function module is fitted; the equivalent wind resistance is the sum of the wind resistance of the airway on the inlet and return air sides of the window area and the wind resistance of the window;

[0055] The second calculation module is used to monitor the blade angle in real time, measure the roadway 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. The relationship between the roadway pressure difference and the equivalent wind resistance is then used to calculate the real-time air flow rate of the wind window. The roadway 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 excess 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 signals set by the first regulating module; calculate the air volume control error based on the real-time excess air volume value and the target air volume, compare the air volume control error with the air volume error threshold, and 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, manual adjustment can also be performed in the underground tunnel through the wind window air control box 2 until the required air volume is adjusted to the tunnel. 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 Coal Mine Construction" points out that the remote adjustment of wind windows in the intelligent ventilation system must 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 be intelligently linked with other equipment for control.

[0059] Mine ventilation systems are inherently dynamic processes. Various underground production and transportation equipment, personnel movement, and the opening and closing of dampers can all cause some degree of disturbance in the airflow within each branch of the system. Therefore, regardless of monitoring method, sensor values ​​fluctuate dynamically, requiring optimization based on the frequency of these fluctuations. The present invention proposes a method for controlling the air volume excess of louvered wind windows based on the blade angle-wind resistance characteristic curve. Since an air volume prediction model is first constructed, a preliminary judgment can be made on the blade angle range required to achieve the target air volume after the target air volume is determined, and then fine-tuning can be performed, which can greatly shorten the air volume control 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. The wind speed fluctuation can be properly filtered to 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 solutions of the present invention and are not limiting. 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 solutions of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve, characterized in that The following steps are involved: The tunnel pressure difference is measured 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 air flow prediction curve are constructed by measuring and fitting the ventilation parameters of the wind window area. Calculate the real-time airflow through the wind window based on the roadway pressure difference, blade angle-wind resistance characteristic curve; Set target air volume and air volume error threshold; The blade angle is predicted 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; The steps of constructing a blade angle-wind resistance characteristic curve and a blade angle-wind window airflow prediction curve by measuring and fitting the ventilation parameters of the wind window area 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 wind 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-window air flow prediction curve Q i =F(θ i ); The step of calculating the real-time airflow 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 flow 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 based on the target air volume and the blade angle-window air volume prediction curve. 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 airflow 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 equalization 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 When the air volume error threshold δ0 is greater than the air volume error threshold, the wind window excess air volume equalization control process is started; When the air volume control error δ j When the air volume error threshold δ0 is less than or equal to the air volume, the wind window excess air volume equalization control process is terminated; 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, reduce the wind window blade angle θ j+1 =θ j -k°, where k is the angle of the blade adjusted each time; The blade angle-wind resistance characteristic curve R i =f(θ i ), the blade angle-wind window air flow 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 0°, 10°, 20°, 30°, 40°, 50°, 60°, 70°, 80° or 90°, and measure the angle θ of each blade separately 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-window air flow prediction curve Q i =F(θ i ).

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 tunnel pressure difference Δh j The pressure is measured by a pressure differential sensor (5), which is installed on the side of the tunnel on the air inlet side of the wind window. The pressure differential sensor (5) is externally connected to two pressure differential parameter collection air pipes, and the two ends of the pressure differential 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 differential 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 differential parameter collection air pipe port (8) extends to the average wind speed line of the return air side parameter measurement section B.

3. 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: 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 flow Q0 is Q 0min =0.25×min{S A , S B If the windshield is installed in a rock tunnel, the minimum target airflow rate Q0 is Q 0min =0.15×min{S A , S B }, where S A is the area of ​​the cross section A for measuring parameters on the air inlet side, S B The return air side parameters are measured by the area of ​​section B.

4. 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 air volume error threshold δ0=5%.

5. 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: In the wind window air flow equalization control process, the blade angle is adjusted by k=1° each time.

6. A computer system comprising a memory, a processor, and a computer program stored in the memory, wherein: The processor executes the computer program to implement the method according to any one of claims 1 to 5.

7. A device for controlling the airflow rate of a louvered window based on a blade angle-wind resistance characteristic curve, comprising a first calculation module, a second calculation module, a first adjustment module, and a second adjustment module, the device being configured to implement the method of any one of claims 1 to 5, characterized in that: The first calculation module is used to measure different blade angles and the corresponding wind window air flow rates, and to obtain a blade angle-wind window air flow rate prediction curve function module by fitting; The pressure difference on both sides of the wind window at different blade angles is measured. Combined with the wind volume passing through the wind window, the equivalent wind resistance corresponding to different blade angles is calculated, 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 airway 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 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 wind window real-time air flow; 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 excess 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 based on 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.

Images