Telescoping wind speed measurement device, method, medium, and apparatus for ventilation ducts

Abstract

This invention relates to the field of rail transit technology, and more particularly to a retractable anemometer, method, medium, and equipment for ventilation ducts. The device includes an anemometer, a retractable electric rod, an outer tube of a wire harness, an inner tube of a wire harness, a linkage plate, and a data processing unit. The data processing unit is installed on the ventilation duct. The retractable electric rod and the outer tube of the wire harness are fixed to one side of the data processing unit located inside the ventilation duct. The inner tube of the wire harness is slidably installed inside the outer tube of the wire harness. The linkage plate is fixed to the retractable electric rod and the inner tube of the wire harness. The anemometer is fixed to the linkage plate. The retractable electric rod and the anemometer are connected to the data processing unit. This invention enables automatic scanning measurement of a large number of discrete points, and is particularly suitable for large-diameter or irregular ducts with complex flow velocity distributions, solving the technical problems of complex and inefficient measurement processes in existing anemometer methods.

Description

Technical Field

[0001] This invention relates to the field of rail transit technology, and in particular to a retractable wind speed measuring device, method, medium, and equipment for ventilation ducts. Background Technology

[0002] Some existing locomotives, rolling stock, or EMUs have installed anemometers in their ventilation and cooling systems to test the wind speed within the ducts and reflect the system's airflow. However, due to the differences in duct types at different locations within the mechanical compartment of rail transit vehicles, the irregularity of the duct structure, the instability of airflow from the fans themselves, and variations in installation, fixed anemometers are difficult to accurately reflect the airflow. Even if the measured wind speed fails to reflect the actual airflow, the test point cannot be adjusted.

[0003] To obtain cross-sectional velocity distribution, engineers often use handheld measuring instruments to perform multiple manual insertion and removal measurements at different depths. This method has several problems: 1. Poor repeatability: The depth and angle of each insertion depend on manual control, making consistency difficult to guarantee and data comparability weak; 2. Inconvenient operation and safety hazards: Prolonged handheld operation near high-temperature, high-dust, or high-velocity pipelines is unfriendly to personnel; 3. Poor accuracy of measurements at different points: The required measuring points are affected by mechanical structures and cannot be directly measured, requiring the use of other easily accessible measuring points; 4. Difficulty in automation: It cannot be integrated into a remote monitoring system for periodic automatic scanning measurements.

[0004] More importantly, the existing adjustable devices and similar technologies mentioned above are still limited to single-point or multi-point data acquisition requiring manual intervention. To obtain the total air volume of the duct and assess its wind speed distribution uniformity, operators still need to manually control the probe to move at multiple preset points, record a series of discrete wind speed values, and then perform manual calculations or import the data into other software for further processing to estimate the cross-sectional average wind speed, air volume, and non-uniformity. This process is inefficient and cannot achieve real-time, online uniformity assessment and continuous air volume monitoring. The non-uniformity of the ventilation system is a key indicator for assessing its performance and diagnosing faults (such as filter clogging, fan imbalance, and valve malfunction), and currently, there is a lack of an integrated in-situ measurement device that can automatically and continuously provide this key indicator. Summary of the Invention

[0005] The main objective of this invention is to provide a retractable wind speed measuring device, method, medium, and equipment for ventilation ducts, aiming to solve the technical problems of complex and inefficient measurement processes in existing wind measurement methods.

[0006] To achieve the above objectives, the present invention proposes a retractable wind speed measuring device for ventilation ducts, comprising an anemometer, a retractable electric rod, an outer tube of a wire harness tube, an inner tube of a wire harness tube, a linkage plate, and a data processing unit. The data processing unit is installed on the ventilation duct. The retractable electric rod and the outer tube of the wire harness tube are fixed to one side of the data processing unit located inside the ventilation duct. The inner tube of the wire harness tube is slidably installed inside the outer tube of the wire harness tube. The linkage plate is fixed to the retractable electric rod and the inner tube of the wire harness tube. The anemometer is fixed to the linkage plate. The retractable electric rod and the anemometer are connected to the data processing unit.

[0007] A further improvement of the retractable wind speed measuring device for ventilation ducts of the present invention is that the data processing unit includes a controller, a data acquisition unit and an embedded algorithm module, the data acquisition unit and the embedded algorithm module are connected to the controller, the controller is connected to the retractable electric pole, and the data acquisition unit is connected to the anemometer.

[0008] The present invention also provides a retractable wind speed measurement method for ventilation ducts, and provides the retractable wind speed measurement device for ventilation ducts as described above, the method comprising the following steps: S1. Input the inner diameter of the ventilation duct into the data acquisition device and select the scanning mode; S2. Based on the scanning mode, the telescopic electric pole is extended or shortened by the controller, and the wind speed at the current location is collected by the anemometer through the data acquisition device. S3. Calculate and output the average wind speed of the cross section through the embedded algorithm module; S4. Calculate and output the wind speed non-uniformity coefficient through the embedded algorithm module; S5. Calculate and output the total air volume of the ventilation duct through the embedded algorithm module.

[0009] A further improvement of the expandable wind speed measurement method for ventilation ducts of the present invention is that the specific calculation formula for S3 is as follows: V_avg=(V1+V2+...+V_i) / i; Where: V_avg is the cross-sectional average wind speed, and V_i is the wind speed at the i-th measuring point.

[0010] A further improvement of the expandable wind speed measurement method for ventilation ducts of the present invention is that the specific calculation formula for S4 is as follows: K = (V_max - V_min) / V_avg; Where: K is the wind speed non-uniformity coefficient, V_max is the maximum wind speed, and V_min is the minimum wind speed.

[0011] A further improvement of the expandable wind speed measurement method for ventilation ducts of the present invention is that the specific calculation formula for S5 is as follows: Q≈Σ(V_i×A_i); Where Q is the total air volume of the ventilation duct, and A_i is the local area represented by each measuring point.

[0012] A further improvement of the retractable wind speed measurement method for ventilation ducts of the present invention is that it further includes S6, calibrating the characteristic wind speed point of the ventilation duct, specifically: measuring the characteristic curve of fan power and air volume, obtaining the ideal wind speed in the ventilation duct based on the collected fan power, and then adjusting the position of the anemometer in the ventilation duct so that the wind speed at the calibrated position is equal to the ideal wind speed in the ventilation duct.

[0013] A further improvement of the ductwork speed measurement method of the present invention is that, when measuring the characteristic curve of fan power versus air volume, the method includes the following steps: S601. Install a throttling device in the ventilation duct to regulate the airflow of the fan and ensure that it is in the fully open state; S602. Start the fan and record the power value at maximum airflow. S603. Manually adjusting the throttling device to close the target range increases system resistance, resulting in a decrease in airflow. S604. Record the fresh air volume and corresponding new power at this time; S605, Repeat S603 and S604, gradually reduce the throttling device by closing the target range each time, until it is completely closed; S606. Connect all the recorded air volume and power points to obtain the characteristic curve of fan power versus air volume.

[0014] In addition, the present invention provides a readable storage medium storing a computer program adapted to be loaded by a processor and executed as described above for a scalable wind speed measurement method for ventilation ducts.

[0015] In addition, the present invention also provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, which, when executed by the processor, runs the scalable wind speed measurement method for ventilation ducts as described above.

[0016] The technical solution of the present invention has the following beneficial effects: In this invention, a data processing unit controls the uniform extension and retraction of a retractable electric rod to achieve automatic scanning and measurement of a large number of discrete points. The accuracy of its airflow calculation is far superior to traditional single-point or few-point estimation methods, making it particularly suitable for large-diameter or irregular ducts with complex velocity distributions. This solves the technical problems of complex and inefficient measurement processes in existing wind measurement methods. This invention achieves automated and quantitative monitoring of "wind velocity non-uniformity" in ventilation ducts. This provides direct and crucial quantitative evidence for ventilation system energy efficiency assessment, fault early warning, and balancing adjustments. This invention supports automatic scanning and data acquisition, intelligent analysis, and remote transmission, greatly reducing manual intervention and meeting the needs of digital management of ventilation systems. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the retractable wind speed measuring device used in this ventilation duct; Figure 2 This is a side view of the retractable wind speed measuring device used in this ventilation duct.

[0019] Explanation of icon numbers: 1. Ventilation duct; 2. Anemometer; 3. Telescopic electric pole; 31. Movable section; 4. Outer tube of wire harness; 5. Inner tube of wire harness; 6. Linkage plate; 7. Data processing unit. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0022] Furthermore, in this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0023] In this invention, unless otherwise explicitly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; "connection" can mean a mechanical connection or an electrical connection, a direct connection or an indirect connection through an intermediate medium, and can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are feasible for those skilled in the art. If the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0025] This invention proposes a retractable wind speed measuring device for ventilation ducts, comprising an anemometer 2, a retractable electric rod 3, an outer tube 4 of a wire harness tube, an inner tube 5 of a wire harness tube, a linkage plate 6, and a data processing unit 7. The data processing unit 7 is installed on the ventilation duct 1. The retractable electric rod 3 and the outer tube 4 of the wire harness tube are fixed to one side of the data processing unit 7 located inside the ventilation duct 1. The inner tube 5 of the wire harness tube is slidably installed inside the outer tube 4 of the wire harness tube. The linkage plate 6 is fixed to the retractable electric rod 3 and the inner tube 5 of the wire harness tube. The anemometer 2 is fixed to the linkage plate 6. The retractable electric rod 3 and the anemometer 2 are connected to the data processing unit 7.

[0026] Specifically, the telescopic electric pole 3 includes a fixed section and a movable section 31. The movable section 31 is slidably installed inside the fixed section, and the linkage plate 6 is fixed to the top of the movable section 31 and the inner tube 5 of the wire harness tube. When the movable section 31 moves up and down, it drives the inner tube 5 of the wire harness tube to move up and down through the movable section 31 and the linkage plate 6. The data processing unit 7 is fixed to the ventilation duct 1 with screws. The data processing unit 7 controls the extension and retraction of the telescopic electric pole 3, and when the electric telescopic pole extends and retracts, it drives the anemometer 2 to move up and down inside the ventilation duct 1. The outer tube 4 and the inner tube 5 of the wire harness tube are used to pass through the wires.

[0027] The retractable electric pole 3 mainly includes a stepper motor, a reducer, and a lead screw, primarily used to control the vertical movement of the movable section 31. Under the control of the data processing unit 7, the stepper motor and reducer drive the lead screw to rotate. The lead screw rotates one revolution for every 512 pulses sent by the data processing unit 7. The lead screw pitch is 2mm. Each pulse sent by the data processing unit 7 causes the lead screw to move the anemometer 2 vertically by 1 / 256mm, enabling precise control of the anemometer 2 within the ventilation duct 1. If the lead screw is fully extended or retracted, the data processing unit 7 will detect an abnormal current through its built-in stepper motor current acquisition device (in this embodiment, an ACS724 current acquisition device is used). At this time, the lead screw position can be recalibrated to prevent pulse loss from causing the anemometer 2 to lose position control.

[0028] Preferably, the data processing unit 7 includes a controller, a data acquisition unit, and an embedded algorithm module. The data acquisition unit and the embedded algorithm module are connected to the controller, which is connected to the telescopic electric pole 3. The data acquisition unit is connected to the anemometer 2. The controller is electrically connected to a stepper motor, and can precisely control the rotation angle and direction of the lead screw according to a preset program or external commands, thereby driving the wind measuring device to automatically reciprocate or position itself to a series of specific measurement points in the radial direction of the ventilation duct 1 cross-section. The data acquisition unit is signal-connected to the anemometer 2, and synchronously collects and records the wind speed data corresponding to each measurement point location in real time. The embedded algorithm module has a pre-stored calculation program for data processing and calculation.

[0029] Furthermore, the controller is connected to a human-machine interface (such as a touch screen or a remote terminal connected via wireless communication) to set scanning parameters (such as start and end points, speed, and measurement point density), and to display wind speed curves, non-uniformity coefficients, real-time air volume, historical trend graphs, etc.

[0030] Preferably, the controller can integrate a communication module (such as 4G / 5G, Ethernet, RS485, Modbus, LoRa, etc.) to upload real-time airflow and unevenness alarm signals to a cloud platform or central monitoring system, enabling remote monitoring and big data analysis. The data processing unit 7 is encapsulated within a terminal box. The controller within the data processing unit 7 is connected to a stepper motor. The data acquisition unit is connected to the signal output line of the anemometer 2. The software of the embedded algorithm module is stored in the controller's memory. A small touchscreen is mounted on the front of the device as the human-machine interface. An internal communication module is integrated.

[0031] The embedded algorithm module may also include self-diagnosis and calibration prompt functions, such as: prompting for possible pipe dust accumulation or equipment failure based on the long-term monitored wind speed distribution change trend; or prompting for the need to perform a new cross-sectional scan calibration based on whether the non-uniformity exceeds the limit.

[0032] The present invention also provides a retractable wind speed measurement method for ventilation ducts, and provides the retractable wind speed measurement device for ventilation ducts as described above, the method comprising the following steps: S1. Input the inner diameter of ventilation duct 1 into the data acquisition device and select the scanning mode; The controller supports multiple intelligent scanning modes, such as: Equal-spacing point scanning mode: suitable for routine monitoring.

[0033] Adaptive encrypted scanning mode: When a drastic change in wind speed gradient is detected in a certain area, the density of measuring points in that area is automatically increased to improve calculation accuracy.

[0034] Fixed-point continuous monitoring mode: The probe is fixed at a representative measuring point (such as the center of the pipeline) for a long time to carry out continuous monitoring. At the same time, full-section scanning can be initiated periodically to calibrate the wind speed non-uniformity coefficient.

[0035] S2. According to the scanning mode, the telescopic electric pole 3 is extended or shortened by the controller, and the wind speed of the anemometer 2 at the current position is collected by the data acquisition device. S3. The average wind speed across the cross section is calculated and output using the embedded algorithm module. The specific calculation formula is as follows: V_avg=(V1+V2+...+V_i) / i; Where: V_avg is the cross-sectional average wind speed, and V_i is the wind speed at the i-th measuring point.

[0036] S4. The wind speed non-uniformity coefficient is calculated and output through an embedded algorithm module. Based on the wind speed (V_i) and its location information of a series of measuring points on the cross-section collected within a certain time period (or a single scan cycle), an index characterizing the uniformity of wind speed distribution is calculated. The specific calculation formula for the wind speed non-uniformity coefficient is as follows: K = (V_max - V_min) / V_avg; Alternatively, the wind speed non-uniformity coefficient can also be calculated using the following formula: K = σ / V_avg; Where: K is the wind speed non-uniformity coefficient, V_max is the maximum wind speed, V_min is the minimum wind speed, and σ is the standard deviation.

[0037] S5. The embedded algorithm module calculates and outputs the total air volume of ventilation duct 1. Based on the wind speed data collected from each measuring point, and combined with the geometric dimensions of the duct cross-section (which can be preset and input through the human-machine interface), a numerical integration method (such as the trapezoidal method, Simpson's method, or a weighted average method based on the measuring point location) is used to calculate the total air volume through the entire ventilation duct 1. The specific calculation formula for the total air volume of ventilation duct 1 is as follows: Q≈Σ(V_i×A_i); Where Q is the total air volume of ventilation duct 1, and A_i is the local area represented by each measuring point.

[0038] S6. Calibrate the characteristic wind speed point of ventilation duct 1. Specifically, measure the characteristic curve of fan power and air volume, obtain the ideal wind speed in ventilation duct 1 based on the collected fan power, and then adjust the position of anemometer 2 in ventilation duct 1 so that the wind speed at the calibration position is equal to the ideal wind speed in ventilation duct 1.

[0039] When measuring and obtaining the characteristic curve of fan power versus air volume, the following steps are included: S601. Install a throttling device to regulate the airflow of the fan in the ventilation duct 1 to ensure that it is in the fully open state; S602. Start the fan and record the power value at maximum airflow. S603. Manually adjusting the throttling device to close the target range (e.g., closing 10%) increases system resistance, resulting in a decrease in airflow. S604. Record the fresh air volume and corresponding new power at this time; S605, Repeat S603 and S604, gradually reduce the throttling device by 10% each time, according to the method of closing the target range, until it is completely closed; S606. Connect all the recorded air volume and power points to obtain the characteristic curve of fan power versus air volume.

[0040] In addition, the present invention provides a readable storage medium storing a computer program adapted to be loaded by a processor and executed as described above for a scalable wind speed measurement method for ventilation ducts.

[0041] In addition, the present invention also provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, which, when executed by the processor, runs the scalable wind speed measurement method for ventilation ducts as described above.

[0042] The specific operating steps of using the embodiments of the present invention are as follows: Parameter settings: Through the human-machine interface, the operator inputs the inner diameter of the pipe (e.g., 800mm) and selects the scanning mode as "standard 11-point scan" (that is, the probe moves 10 intervals at equal intervals from near the initial position inside the pipe to near the opposite side wall, for a total of 11 measuring points).

[0043] Automatic scanning initiated: The controller starts the stepper motor, driving the anemometer 2 from its initial position to the first measuring point. After stabilization, the data acquisition unit collects and records the wind speed V1 at that point. Following a preset path, the controller sequentially positions the probe to the next 10 measuring points, simultaneously recording V2 through V11.

[0044] Real-time analysis and computation: The algorithm module processes this data in real time. Calculate the cross-sectional average wind speed V_avg: V_avg = (V1 + V2 + ... + V11) / 11 (or a weighted average based on the ring area represented by the measuring point). Assume the calculated V_avg = 6.9 m / s.

[0045] To calculate the wind speed non-uniformity coefficient K: Find the maximum value V_max and the minimum value V_min, and calculate K = (V_max - V_min) / V_avg. Assume that the calculated K = 0.35.

[0046] Calculate the total air volume Q in the duct: Duct cross-sectional area A = π × (0.4) 2 ≈0.502m 2 Volumetric flow rate Q = V_avg × A × 3600 (units converted to m³) 3 / h).

[0047] Results Presentation and Transmission: The wind speed distribution curve and real-time air volume (e.g., 12470 m³ / h) are dynamically displayed on the human-computer interface. 3 / h), non-uniformity coefficient (0.35). Simultaneously, all data is uploaded to the cloud platform via the 4G module. If the K value exceeds the preset alarm limit (e.g., 0.5), the device can send an alarm message through the cloud platform, and an alarm message will also be displayed locally.

[0048] Periodic monitoring: The device can be set to automatically perform the above scan every hour to achieve long-term trend monitoring of air volume and uniformity.

[0049] After the initial standard scan, an abnormal wind speed gradient was detected in a certain area. The controller then initiated an "adaptive encrypted scan" in that area, halving the spacing between measurement points for a second, more precise measurement. By combining high-density data, the algorithm can not only calculate airflow more accurately but also analyze the patterns of abnormal distributions and compare them with the built-in fault mode library, displaying a message on the interface indicating "potential partial blockage at the air inlet," greatly enhancing the device's diagnostic capabilities.

[0050] This invention acquires real-time wind speed data of spatial distribution through a high-precision mechanical scanning mechanism. Embedded intelligent algorithms then transform this data into non-uniformity indicators and total airflow, directly reflecting the system's state. Finally, modern communication technology integrates the results into a broader data management system. This constitutes a complete closed loop of "perception-analysis-execution-management."

[0051] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made under the concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A retractable wind speed measuring device for ventilation ducts, characterized in that, The system includes an anemometer (2), a telescopic electric pole (3), an outer tube of a wire harness tube (4), an inner tube of a wire harness tube (5), a linkage plate (6), and a data processing unit (7). The data processing unit (7) is installed on the ventilation duct (1). The telescopic electric pole (3) and the outer tube of the wire harness tube (4) are fixed to one side of the data processing unit (7) located inside the ventilation duct (1). The inner tube of the wire harness tube (5) is slidably installed inside the outer tube of the wire harness tube (4). The linkage plate (6) is fixed to the telescopic electric pole (3) and the inner tube of the wire harness tube (5). The anemometer (2) is fixed to the linkage plate (6). The telescopic electric pole (3) and the anemometer (2) are connected to the data processing unit (7).

2. The extendable wind speed measuring device for ventilation ducts according to claim 1, characterized in that, The data processing unit (7) includes a controller, a data acquisition unit and an embedded algorithm module. The data acquisition unit and the embedded algorithm module are connected to the controller. The controller is connected to the telescopic electric pole (3). The data acquisition unit is connected to the anemometer (2).

3. A method for measuring extendable wind speed in ventilation ducts, characterized in that, The method for providing the extendable wind speed measuring device for ventilation ducts as described in claim 2 includes the following steps: S1. Input the inner diameter of the ventilation duct (1) into the data acquisition device and select the scanning mode; S2. According to the scanning mode, the telescopic electric pole (3) is extended or shortened by the controller, and the wind speed of the anemometer (2) at the current position is collected by the data acquisition device. S3. Calculate and output the average wind speed of the cross section through the embedded algorithm module; S4. Calculate and output the wind speed non-uniformity coefficient through the embedded algorithm module; S5. Calculate and output the total air volume of the ventilation duct (1) through the embedded algorithm module.

4. The expandable wind speed measurement method for ventilation ducts according to claim 3, characterized in that, The specific calculation formula for S3 is as follows: V_avg=(V1+V2+...+V_i) / i; Where: V_avg is the cross-sectional average wind speed, and V_i is the wind speed at the i-th measuring point.

5. The expandable wind speed measurement method for ventilation ducts according to claim 3, characterized in that, The specific calculation formula for S4 is as follows: K = (V_max - V_min) / V_avg; Where: K is the wind speed non-uniformity coefficient, V_max is the maximum wind speed, and V_min is the minimum wind speed.

6. The extendable wind speed measurement method for ventilation ducts according to claim 3, characterized in that, The specific calculation formula for S5 is as follows: Q≈Σ(V_i×A_i); Where Q is the total air volume of the ventilation duct (1), and A_i is the local area represented by each measuring point.

7. The expandable wind speed measurement method for ventilation ducts according to claim 3, characterized in that, It also includes S6, calibrating the characteristic wind speed point of the ventilation duct (1), specifically: measuring the characteristic curve of fan power and air volume, obtaining the ideal wind speed in the ventilation duct (1) based on the collected fan power, and then adjusting the position of the anemometer (2) in the ventilation duct (1) so that the wind speed at the calibrated position is equal to the ideal wind speed in the ventilation duct (1).

8. The expandable wind speed measurement method for ventilation ducts according to claim 7, characterized in that, When measuring and obtaining the characteristic curve of fan power versus air volume, the following steps are included: S601. Install a throttling device to regulate the air volume of the fan in the ventilation duct (1) to ensure that it is in the fully open state; S602. Start the fan and record the power value at maximum airflow. S603. Manually adjusting the throttling device to close the target range increases system resistance, resulting in a decrease in airflow. S604. Record the fresh air volume and corresponding fresh power at this time; S605, Repeat S603 and S604, gradually reduce the throttling device by closing the target range each time, until it is completely closed; S606. Connect all the recorded air volume and power points to obtain the characteristic curve of fan power versus air volume.

9. A readable storage medium, characterized in that, The readable storage medium stores a computer program adapted to be loaded by a processor and executed as described in any one of claims 3-8 for the scalable wind speed measurement method for ventilation ducts.

10. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, runs the scalable wind speed measurement method for ventilation ducts as described in any one of claims 3-8.

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