Air volume estimation method and device, electronic equipment and storage medium

Abstract

The invention provides an air volume estimation method and device, electronic equipment and a storage medium. The method comprises the steps that the first rotating speed of a draught fan is obtained; wherein the first rotating speed is not smaller than a preset rotating speed threshold value; determining a first pressure difference of the fan; wherein the first pressure difference is a pressure difference value between the inlet side and the outlet side of the fan under the same working condition as the first rotating speed; and estimating the air volume of the fan based on the first pressure difference, the first rotating speed and a preset fitting formula. According to the mode, the air volume of the fan can be estimated in real time only by utilizing two parameters, namely the pressure difference and the rotating speed of the fan, which are existing or easy to obtain in the fan system, and a special air volume measuring device does not need to be additionally arranged. By means of the design, the requirement for dynamically monitoring the air volume of the draught fan is met, and meanwhile the overall cost of air volume monitoring is reduced.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, apparatus, electronic device, and storage medium for estimating air volume. Background Technology

[0002] In the HVAC industry, accurate real-time airflow sensing of fans is a core requirement for optimizing energy consumption and ensuring operational stability of temperature control systems, especially in compact spaces such as precision computer rooms and embedded units, where this requirement is even more urgent.

[0003] In related technologies, air volume monitoring in the HVAC industry has significant shortcomings: in most application scenarios, to simplify design and control costs, air volume is not detected directly, resulting in the system being unable to dynamically adjust according to the actual air volume, leading to energy waste and operational risks; in the few scenarios that require monitoring, the common approach is to install differential pressure sensors, wind speed probes and other sampling devices at the inlet and outlet of the fan, which not only requires additional installation space and complex sampling pipeline design, but also presents problems with equipment installation and maintenance, resulting in a high overall cost of air volume monitoring. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide an air volume estimation method, device, electronic device and storage medium to solve the problems in the prior art that the air volume of the fan cannot be obtained in real time, or that the air volume monitoring cost is high due to the reliance on additional air volume measurement devices.

[0005] In a first aspect, embodiments of the present invention provide an air volume estimation method, the method comprising: obtaining a first rotational speed of a fan; wherein the first rotational speed is not less than a preset rotational speed threshold; determining a first pressure difference of the fan; wherein the first pressure difference is the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first rotational speed; and estimating the air volume of the fan based on the first pressure difference, the first rotational speed and a preset fitting formula.

[0006] Furthermore, the fitting formula includes:

[0007] in, This refers to the air volume of the fan; This is the first pressure difference; The first rotational speed; to represents the fitting coefficient.

[0008] Furthermore, the above fitting formula is obtained by fitting the sample dataset, which includes the sample pressure difference, sample speed, and sample air volume of the fan collected synchronously; the sample speed of the fan is not less than the speed threshold.

[0009] Furthermore, the sample dataset was obtained through wind tunnel experiments in the following manner: In the wind tunnel experiments, different external static pressure environments were simulated by adjusting the static pressure parameters of the wind tunnel; wherein, the external static pressure environment is used to characterize the external resistance that the wind turbine needs to overcome; for each external static pressure environment, the wind turbine was tested, and during the test, the sample pressure difference, sample speed, and sample air volume of the wind turbine under the external static pressure environment were collected simultaneously to obtain the sample dataset corresponding to the external static pressure environment.

[0010] Furthermore, the method also includes: obtaining a second rotational speed of the fan; wherein the second rotational speed is less than a preset rotational speed threshold; and determining the air volume of the fan corresponding to the second rotational speed as a specified air volume.

[0011] Furthermore, the fitting formula is constructed as follows: obtain the sample dataset; based on the sample dataset, perform multivariate multinomial regression analysis on the relationship between the sample pressure difference of the fan, the sample rotational speed of the fan, and the sample air volume of the fan, determine the fitting coefficients in the fitting formula, and obtain the fitting formula.

[0012] Further, the step of determining the first differential pressure of the fan includes: acquiring the first pulse frequency of the pulse signal output by the sensors deployed on the inlet and outlet sides of the fan; wherein the sensors are used to acquire the pressure difference between the inlet and outlet sides during the operation of the fan; and determining the first differential pressure of the fan corresponding to the first pulse frequency based on the correspondence between the pulse frequency and the differential pressure.

[0013] Secondly, embodiments of the present invention provide an air volume estimation device, the device comprising: a first acquisition module for acquiring a first rotational speed of a fan; wherein the first rotational speed is not less than a preset rotational speed threshold; a first determination module for determining a first pressure difference of the fan; wherein the first pressure difference is the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first rotational speed; and a first estimation module for estimating the air volume of the fan based on the first pressure difference, the first rotational speed, and a preset fitting formula.

[0014] Thirdly, embodiments of the present invention provide an air volume estimation device, which includes a processor and a memory. The memory stores machine-executable instructions that can be executed by the processor, and the processor executes the machine-executable instructions to implement the above-mentioned air volume estimation method.

[0015] Fourthly, embodiments of the present invention provide a storage medium storing machine-executable instructions. When the machine-executable instructions are invoked and executed by a processor, the machine-executable instructions cause the processor to implement the aforementioned airflow estimation method.

[0016] The embodiments of the present invention bring the following beneficial effects: The above-mentioned air volume estimation method, device, electronic equipment and storage medium obtain the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold; determine the first pressure difference of the fan; wherein the first pressure difference is the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first rotational speed; and estimate the air volume of the fan based on the first pressure difference, the first rotational speed and a preset fitting formula.

[0017] In this method, the first rotational speed of the fan is obtained, which must be not less than a preset speed threshold. Then, the pressure difference between the inlet and outlet sides of the fan under the same operating conditions as the first rotational speed is determined and used as the first pressure difference. Finally, the air volume of the fan is estimated based on the first pressure difference, the first rotational speed and the preset fitting formula.

[0018] This method only requires the use of existing or readily available parameters in the fan system—pressure difference and rotational speed—to achieve real-time estimation of fan airflow without the need for additional dedicated airflow measurement devices. This design not only meets the need for dynamic monitoring of fan airflow but also reduces the overall cost of airflow monitoring.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 A flowchart of an air volume estimation method provided in an embodiment of the present invention; Figure 2 A flowchart of another air volume estimation method provided in an embodiment of the present invention; Figure 3 This invention provides a surface plot corresponding to a sample dataset. Figure 4 A schematic diagram of an air volume estimation device provided in an embodiment of the present invention; Figure 5This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Based on this, the air volume estimation method, device, electronic device and storage medium provided in the embodiments of the present invention can be applied to the air volume estimation scenario of fans.

[0025] To facilitate understanding of this embodiment, a detailed description of an airflow estimation method disclosed in this embodiment of the invention will be provided first. Please refer to [link to relevant documentation]. Figure 1 An embodiment of an air volume estimation method according to the present invention includes: Step S102: Obtain the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold.

[0026] The aforementioned first rotational speed refers to the fan speed that is not less than a preset speed threshold. This speed threshold is a critical value pre-set based on the fan's operating physical characteristics and application requirements. When the fan speed reaches or exceeds this speed threshold, the kinetic energy generated by the fan impeller rotation is sufficient to overcome the duct resistance and form an effective air volume with engineering monitoring and control value. Conversely, when the fan speed is lower than this speed threshold, the actual output air volume of the fan is extremely small, approximately zero, and has no practical application significance. In this case, air volume estimation is likely to lead to distorted results.

[0027] In practice, the setting of this speed threshold can be determined by combining factors such as the fan model and specifications, rated operating parameters, and duct resistance characteristics of the application scenario.

[0028] Here, the fan speed can be obtained directly by reading the speed signal of the fan drive motor, for example, by reading the real-time speed value from the communication interface of the fan's frequency converter and motor controller.

[0029] Step S104: Determine the first pressure difference of the fan; wherein, the first pressure difference is the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first speed.

[0030] The term "same operating condition" here refers to the fact that the first rotational speed and the first differential pressure must correspond to the exact same operating state of the fan. In other words, the fan's operating conditions and state must be completely consistent when acquiring these two parameters. In real-time implementation, the acquisition of the first rotational speed must be synchronized with the acquisition of the first differential pressure to ensure that they are matching parameters under the same operating condition. This avoids parameter mismatches caused by excessive time intervals or changes in the fan's operating state, thereby ensuring the accuracy of subsequent airflow estimation.

[0031] Specifically, the first pressure difference can refer to the static pressure difference between the inlet and outlet sides of the fan.

[0032] In order to obtain the first differential pressure, in a preferred embodiment, the pulse frequency of the pulse signal that is synchronously acquired with the first rotational speed can be obtained by acquiring the pulse signal output by the differential pressure sensor deployed on the inlet and outlet sides of the fan in real time.

[0033] Then, based on the pre-calibrated correspondence between pulse frequency and pressure difference, the acquired pulse frequency is converted into the corresponding pressure difference value, which is the first pressure difference.

[0034] It is worth noting that the differential pressure sensor used in this embodiment is preferably an existing sensor in the fan system used to monitor the fan operating parameters, rather than a dedicated sensor added separately to achieve the air volume estimation method of the present invention.

[0035] Step S106: Estimate the air volume of the fan based on the first pressure difference, the first rotational speed, and a preset fitting formula.

[0036] The aforementioned fitting formula can be pre-constructed through wind tunnel experiments and is used to quantify the mapping relationship between the wind turbine's pressure difference, rotational speed, and airflow. This fitting formula includes a bivariate polynomial form, specifically obtained from the sample dataset corresponding to the wind turbine using a data fitting algorithm, including least squares method and multiple regression analysis. The sample dataset contains three synchronously collected parameters: the wind turbine's sample pressure difference, the wind turbine's sample rotational speed, and the sample airflow measured by a standard wind tunnel measuring device, ensuring that the obtained fitting formula accurately reflects the actual correlation between the three parameters.

[0037] In this step, the real-time air volume of the fan can be obtained simply by substituting the first pressure difference and the first rotational speed into the fitting formula.

[0038] The above-mentioned air volume estimation method, device, electronic equipment and storage medium obtain the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold; determine the first pressure difference of the fan; wherein the first pressure difference is the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first rotational speed; and estimate the air volume of the fan based on the first pressure difference, the first rotational speed and a preset fitting formula.

[0039] In this method, the first rotational speed of the fan is obtained, which must be not less than a preset speed threshold. Then, the pressure difference between the inlet and outlet sides of the fan under the same operating conditions as the first rotational speed is determined and used as the first pressure difference. Finally, the air volume of the fan is estimated based on the first pressure difference, the first rotational speed and the preset fitting formula.

[0040] This method only requires the use of existing or readily available parameters in the fan system—pressure difference and rotational speed—to achieve real-time estimation of fan airflow without the need for additional dedicated airflow measurement devices. This design not only meets the need for dynamic monitoring of fan airflow but also reduces the overall cost of airflow monitoring.

[0041] In one approach, the fitting formula can be a multivariate nonlinear polynomial, with the following specific form:

[0042] in, This refers to the air volume of the fan; This is the first pressure difference; The first rotational speed; to represents the fitting coefficient.

[0043] In this approach, the fitting formula accurately describes the complex nonlinear relationship between airflow and the first pressure difference and the first rotational speed by linearly combining different powers of these terms and their cross-products. This high-order polynomial form allows for flexible fitting of the fan characteristic curve, thus providing high-accuracy airflow estimation over a wide range of operating conditions.

[0044] In this step, simply substitute the obtained values ​​of the first pressure difference and the first rotational speed into the above formula to calculate the real-time air volume of the fan under the current operating conditions.

[0045] In one approach, the fitting formula is obtained by fitting the sample dataset, which includes the sample pressure difference, sample rotational speed, and sample air volume of the fan collected synchronously, and the sample rotational speed of the fan is not less than the speed threshold.

[0046] In other words, the core of constructing the fitting formula is based on real data from the actual operation of the wind turbine. The fitting formula is obtained by fitting the sample dataset. The sample dataset needs to cover a wider range of operating conditions and requires a large amount of sample data. This sample data can be obtained by adjusting the wind turbine speed to simulate different wind turbine operating states. Then, the pressure difference between the inlet and outlet sides, the wind turbine speed, and the real-time air volume of the wind turbine are collected synchronously during the operation of the wind turbine. Here, the sample speed of the wind turbine is not less than the speed threshold.

[0047] In one specific implementation, the sample dataset can include multiple datasets. The sample dataset can be obtained through wind tunnel experiments, specifically as follows: In the wind tunnel experiment, different external static pressure environments are simulated by adjusting the static pressure parameters of the wind tunnel; wherein, the external static pressure environment is used to characterize the external resistance that the wind turbine needs to overcome; for each external static pressure environment, the wind turbine is tested, and during the test, the sample pressure difference, sample rotational speed, and sample air volume of the wind turbine under that external static pressure environment are collected simultaneously to obtain the sample dataset corresponding to that external static pressure environment.

[0048] The aforementioned wind tunnel refers to an experimental device capable of precisely controlling and measuring airflow parameters. It provides a controllable and repeatable testing environment for the fan to simulate its operation in a real-world environment. The aforementioned external static pressure environment characterizes the external resistance that the fan needs to overcome during operation. Specifically, different external static pressure environments mean that the total resistance generated by downstream components such as ducts, filters, heat exchangers, and valves that the fan needs to overcome to transport air from the inlet to the outlet varies.

[0049] In this implementation, the sample dataset is obtained through wind tunnel experiments. In these experiments, technicians adjust the static pressure parameters of the wind tunnel to simulate various external static pressure environments that the wind turbine may encounter in practical applications.

[0050] Subsequently, the fan was tested under each pre-defined external static pressure environment. During the test, different fan operating states were simulated by adjusting the fan speed, and three sets of sample parameters were simultaneously collected at each speed: the pressure difference between the inlet and outlet sides of the fan during operation, the fan speed, and the air volume measured by the wind tunnel standard measuring device. These were used as the sample pressure difference, sample speed, and sample air volume of the fan, respectively. Multiple sets of sample data were collected at different speeds for each external static pressure environment, ultimately forming the sample dataset corresponding to that external static pressure environment.

[0051] By fitting data from multiple sample datasets corresponding to different external static pressure environments, a wider range of operating conditions can be covered, enabling the fitting formula to accurately estimate air volume under various external resistance scenarios.

[0052] In one embodiment, the data consists of sample datasets corresponding to multiple external static pressure environments, such as... Figure 2 As shown, Figure 2 This is a three-dimensional sample distribution surface plot of the sample pressure difference, sample rotational speed, and sample air volume of the fan. In this surface plot, the changes in sample air volume and sample pressure difference with sample rotational speed exhibit typical fan performance curve characteristics.

[0053] In one approach, a second rotational speed of the fan is obtained; wherein the second rotational speed is less than a preset rotational speed threshold; and the air volume of the fan corresponding to the second rotational speed is determined as the specified air volume.

[0054] The specified air volume is zero.

[0055] In other words, in this embodiment, when the obtained fan speed does not reach the preset speed threshold, the fan air volume is directly determined to be the preset specified air volume.

[0056] When the obtained fan speed is less than the preset speed threshold, it indicates that the fan is currently at a low speed, such as during the initial acceleration of startup or low-load idling. Its impeller rotation kinetic energy is insufficient to form an effective airflow with engineering application value. At this time, there is no need to estimate the air volume through the fitting formula. The air volume of the fan can be directly determined as zero, which simplifies the calculation process and avoids estimation errors under invalid operating conditions.

[0057] In actual implementation, the real-time determination and estimation of fan air volume can be completed through the following logic: First, read the fan speed signal in real time. If the speed signal indicates that the fan speed has not reached the preset speed threshold, the fan air volume is directly determined to be 0, matching the working condition of low speed and no effective airflow. If the speed signal indicates that the fan speed has reached the preset speed threshold, then the pressure difference between the fan inlet and outlet sides under the same operating condition as that speed is determined, and then the fan air volume is estimated in real time by combining the speed, pressure difference and preset fitting formula. In addition, when the speed signal itself malfunctions (such as returning an invalid value of 0x7FFF), or when the sensor signal used to obtain the pressure difference between the inlet and outlet of the fan malfunctions, the internal value of the air volume control can be assigned a preset abnormality flag, such as 0x7FFF, for subsequent troubleshooting and system processing.

[0058] In one approach, the fitting formula is constructed as follows: a sample dataset is obtained; based on the sample dataset, a multivariate multinomial regression analysis is performed on the relationship between the sample pressure difference of the fan, the sample rotational speed of the fan, and the sample air volume of the fan to determine the fitting coefficients in the fitting formula, thereby obtaining the fitting formula.

[0059] In other words, the first step is to obtain a sample dataset. This can be achieved through methods such as wind tunnel experiments, which can yield a large sample dataset covering various operating states of the wind turbine. The sample dataset includes synchronously collected sample pressure differentials, sample rotational speeds, and sample airflows of the wind turbine.

[0060] After obtaining the sample dataset, it is imported into data processing software such as MATLAB for bivariate polynomial fitting. Data fitting algorithms are used to solve for each fitting coefficient in the polynomial, thereby obtaining a fitting formula describing the relationship between the fan air volume and the fan pressure difference and speed.

[0061] In this way, a fitting formula that accurately reflects the operating characteristics of the fan under almost all operating conditions can be constructed using only a limited number of sample data points, thereby quickly and accurately deriving the real-time air volume of the fan under any given operating condition.

[0062] In one embodiment, a wind turbine, through the above-mentioned wind tunnel experiment and data fitting process, finally obtained the values ​​of each fitting coefficient in the fitting formula, as shown in Table 1.

[0063] Table 1

[0064] Please see Figure 3 This solution also provides an exemplary embodiment, which provides a more detailed explanation of the air volume estimation method. For example... Figure 3 As shown, this method includes the following steps: Step S302: Obtain the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold.

[0065] The aforementioned first rotational speed refers to the fan speed that is not less than a preset speed threshold. This speed threshold is a critical value pre-set based on the fan's operating physical characteristics and application requirements. When the fan speed reaches or exceeds this speed threshold, the kinetic energy generated by the fan impeller rotation is sufficient to overcome the duct resistance and form an effective air volume with engineering monitoring and control value. Conversely, when the fan speed is lower than this speed threshold, such as during the initial acceleration phase of the fan startup, the actual output air volume is extremely small, approximately zero, and has no practical application significance. Furthermore, air volume estimation at this time is prone to result distortion.

[0066] In practice, the setting of this speed threshold can be determined by combining factors such as the fan model and specifications, rated operating parameters, and duct resistance characteristics of the application scenario.

[0067] The fan speed can be obtained directly by reading the speed signal of the fan drive motor, for example, by reading the real-time speed value from the communication interface of the fan's frequency converter and motor controller.

[0068] Step S304: Obtain the first pulse frequency of the pulse signal output by the sensors deployed on the inlet and outlet sides of the fan; wherein, the sensors are used to obtain the pressure difference between the inlet and outlet sides during the operation of the fan; the first pulse frequency is acquired at the same time as the first rotational speed; based on the correspondence between the pulse frequency and the pressure difference, determine the first pressure difference of the fan corresponding to the first pulse frequency.

[0069] After obtaining the first rotational speed of the fan, the pressure difference between the inlet and outlet sides of the fan under the same operating conditions as the first rotational speed is then obtained. Here, the output pulse signals of the differential pressure sensors deployed on the inlet and outlet sides of the fan can be collected to obtain the first pulse frequency that is synchronously collected with the first rotational speed.

[0070] Then, based on the pre-calibrated correspondence between pulse frequency and pressure difference, the measured first pulse frequency is converted into the corresponding pressure difference value, which is the first pressure difference.

[0071] Step S306: Estimate the air volume of the fan based on the first pressure difference, the first rotational speed, and the preset fitting formula.

[0072] The aforementioned fitting formula can be pre-constructed through wind tunnel experiments and is used to quantify the mapping relationship between the wind turbine's pressure difference, rotational speed, and airflow. This fitting formula includes a bivariate polynomial form, specifically obtained from the sample dataset corresponding to the wind turbine using a data fitting algorithm, including least squares method and multiple regression analysis. The sample dataset contains three synchronously collected parameters: the wind turbine's sample pressure difference, the wind turbine's sample rotational speed, and the sample airflow measured by a standard wind tunnel measuring device, ensuring that the obtained fitting formula accurately reflects the actual correlation between the three parameters.

[0073] In this step, the real-time air volume of the fan can be obtained simply by substituting the first pressure difference and the first rotational speed into the fitting formula.

[0074] This method only requires the use of existing or readily available parameters in the fan system—pressure difference and rotational speed—to achieve real-time estimation of fan airflow without the need for additional dedicated airflow measurement devices. This design not only meets the need for dynamic monitoring of fan airflow but also reduces the overall cost of airflow monitoring.

[0075] The air volume estimation device in the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 4 One embodiment of the air volume estimation device in this invention includes: The first acquisition module 402 is used to acquire the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold. The first determination module 404 is used to determine the first pressure difference of the fan; wherein, the first pressure difference is the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first speed; The first estimation module 406 is used to estimate the air volume of the fan based on the first pressure difference, the first rotational speed, and a preset fitting formula.

[0076] In this method, the first rotational speed of the fan is obtained, which must be not less than a preset speed threshold. Then, the pressure difference between the inlet and outlet sides of the fan under the same operating conditions as the first rotational speed is determined and used as the first pressure difference. Finally, the air volume of the fan is estimated based on the first pressure difference, the first rotational speed and the preset fitting formula.

[0077] This method only requires the use of existing or readily available parameters in the fan system—pressure difference and rotational speed—to achieve real-time estimation of fan airflow without the need for additional dedicated airflow measurement devices. This design not only meets the need for dynamic monitoring of fan airflow but also reduces the overall cost of airflow monitoring.

[0078] The above fitting formulas include:

[0079] in, This refers to the air volume of the fan; This is the first pressure difference; The first rotational speed; to represents the fitting coefficient.

[0080] The above fitting formula is obtained by fitting the sample dataset, which includes the sample pressure difference, sample speed, and sample air volume of the fan collected synchronously; the sample speed of the fan is not less than the speed threshold.

[0081] The above sample dataset was obtained through wind tunnel experiments in the following manner: In the wind tunnel experiments, different external static pressure environments were simulated by adjusting the static pressure parameters of the wind tunnel; the external static pressure environment was used to characterize the external resistance that the wind turbine needs to overcome; for each external static pressure environment, the wind turbine was tested, and the sample pressure difference, sample speed, and sample air volume of the wind turbine under the external static pressure environment were collected simultaneously during the test to obtain the sample dataset corresponding to the external static pressure environment.

[0082] The aforementioned device includes a second determining module for acquiring a second rotational speed of the fan; wherein the second rotational speed is less than a preset rotational speed threshold; and determining the air volume of the fan as a specified air volume.

[0083] The above fitting formula is constructed in the following way: obtain the sample dataset; based on the sample dataset, perform multivariate multinomial regression analysis on the relationship between the sample pressure difference of the fan, the sample rotation speed of the fan and the sample air volume of the fan, determine the fitting coefficients in the fitting formula, and obtain the fitting formula.

[0084] The aforementioned first determining module is further configured to acquire the first pulse frequency of the pulse signal output by the sensors deployed on the inlet and outlet sides of the fan; wherein, the sensors are used to acquire the pressure difference between the inlet and outlet sides during the operation of the fan; and based on the correspondence between the pulse frequency and the pressure difference, determine the first pressure difference of the fan corresponding to the first pulse frequency.

[0085] This embodiment also provides an electronic device, including a processor and a memory. The memory stores machine-executable instructions that can be executed by the processor, and the processor executes the machine-executable instructions to implement the above-mentioned air volume estimation method.

[0086] See Figure 5 As shown, the electronic device includes a processor 100 and a memory 101. The memory 101 stores machine-executable instructions that can be executed by the processor 100. The processor 100 executes the machine-executable instructions to implement the above-described airflow estimation method.

[0087] Furthermore, Figure 5 The electronic device shown also includes a bus 102 and a communication interface 103, with the processor 100, the communication interface 103 and the memory 101 connected via the bus 102.

[0088] The memory 101 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 103 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 102 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0089] Processor 100 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 100 or by instructions in software form. Processor 100 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a readily available storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 101, and the processor 100 reads the information from memory 101 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0090] This embodiment also provides a storage medium that stores machine-executable instructions. When the machine-executable instructions are called and executed by the processor, the machine-executable instructions cause the processor to implement the above-mentioned air volume estimation method.

[0091] The computer program products of the air volume estimation method, apparatus, electronic device and storage medium provided in the embodiments of the present invention include a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0092] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0093] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0094] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0095] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0096] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for estimating air volume, characterized in that, The method includes: Obtain the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold. Determine the first pressure difference of the fan; wherein, the first pressure difference is: the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first speed; The air volume of the fan is estimated based on the first pressure difference, the first rotational speed, and a preset fitting formula.

2. The method according to claim 1, characterized in that, The fitting formula includes: in, This refers to the air volume of the fan; This is the first pressure difference; The first rotational speed; to The fitting coefficients are denoted as .

3. The method according to claim 1, characterized in that, The fitting formula is obtained by fitting the sample dataset; the sample dataset includes the sample pressure difference, sample rotational speed, and sample air volume of the fan collected synchronously; the sample rotational speed of the fan is not less than the rotational speed threshold.

4. The method according to claim 3, characterized in that, The sample dataset was obtained through wind tunnel experiments in the following manner; In the wind tunnel experiment, different external static pressure environments are simulated by adjusting the static pressure parameters of the wind tunnel; wherein, the external static pressure environment is used to characterize the external resistance that the wind turbine needs to overcome. For each external static pressure environment, the fan is tested, and during the test, the sample pressure difference, sample rotation speed, and sample air volume of the fan under the external static pressure environment are collected simultaneously to obtain the sample dataset corresponding to the external static pressure environment.

5. The method according to claim 1, characterized in that, The method further includes: Obtain the second rotational speed of the fan; wherein the second rotational speed is less than the rotational speed threshold. The air volume of the fan corresponding to the second rotation speed is determined as the specified air volume.

6. The method according to claim 3, characterized in that, The fitting formula is constructed in the following manner: Obtain the sample dataset; Based on the sample dataset, a multivariate multinomial regression analysis is performed on the relationship between the sample pressure difference of the fan, the sample rotational speed of the fan, and the sample air volume of the fan to determine the fitting coefficients in the fitting formula and obtain the fitting formula.

7. The method according to claim 1, characterized in that, The step of determining the first differential pressure of the fan includes: The first pulse frequency of the pulse signal output by the sensors deployed on the inlet and outlet sides of the fan is obtained; wherein, the sensors are used to obtain the pressure difference between the inlet and outlet sides during the operation of the fan; Based on the correspondence between pulse frequency and pressure difference, the first pressure difference of the fan corresponding to the first pulse frequency is determined.

8. An air volume estimation device, characterized in that, The device includes: The first acquisition module is used to acquire the first rotational speed of the fan; wherein the first rotational speed is not less than a preset rotational speed threshold. The first determining module is used to determine the first pressure difference of the fan; wherein, the first pressure difference is: the pressure difference between the inlet side and the outlet side of the fan under the same operating conditions as the first speed; The first estimation module is used to estimate the air volume of the fan based on the first pressure difference, the first rotational speed, and a preset fitting formula.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing machine-executable instructions that can be executed by the processor, the processor executing the machine-executable instructions to implement the air volume estimation method according to any one of claims 1-7.

10. A storage medium, characterized in that, The storage medium stores machine-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the air volume estimation method according to any one of claims 1-7.

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