Airflow ventilation analogue simulation test method, system, equipment and medium

Abstract

The invention discloses an airflow ventilation analogue simulation test method, system, equipment and medium, and the method comprises the steps: setting an initial experiment environment, obtaining a system pressure loss calculation value based on the initial experiment environment, and determining a power system demand; building an experiment air pipe based on the initial experiment environment, providing a power system demand for the experiment air pipe, and obtaining a system pressure loss metering value; and comparing the system pressure loss calculation value with the system pressure loss metering value, determining a correction value of the experimental air duct parameter, and constructing a system pressure loss digital model according to the correction value, the system pressure loss digital model being used for an airflow ventilation analogue simulation test. According to the method, the theoretical calculation value and the actual measurement value are compared to correct the material parameters, the analogue simulation technology and the model test are combined, the cost is reduced, meanwhile, the accuracy is improved, and then a theoretical basis is provided for power type selection of the full-modulus high-speed airflow ventilation system by engineering designers.

Description

Technical Field

[0001] The invention relates to the field of heating and ventilation, and in particular to an airflow ventilation simulation test method, system, equipment and medium. Background Art

[0002] With the development of computer technology and numerical computing technology, CFD (Computational Fluid Dynamics) has also developed. Simply put, CFD is equivalent to conducting experiments "virtually" in a computer to simulate the actual fluid flow. With the development of CFD technology, many general CFD software have emerged, such as ANSYS Fluent, CFX, OpenFOAM, etc. These software have rich physical models and numerical algorithms, can handle various complex fluid flow problems, and provide a friendly user interface and pre- and post-processing functions, which facilitates engineers and researchers to perform simulation calculations and result analysis.

[0003] Today's traditional laboratories often require a large amount of physical equipment and materials, which are costly and complex to maintain. At the same time, they cannot meet our requirements for obtaining various information about different flow fields. Therefore, the use of CFD technology is crucial. Nowadays, in the design stage of HVAC systems, parameters such as resistance along the way are generally determined only by empirical formulas and mathematical calculations, but theoretical calculations sometimes deviate from reality, and it is costly to build an overall experimental model for conventional experiments. Summary of the invention

[0004] Based on this, the purpose of the present invention is to provide an airflow ventilation simulation test method, system, equipment and medium, aiming to solve the current problems in the design of HVAC systems, such as deviations in theoretical calculations and high costs of building an overall experimental model to conduct conventional experiments.

[0005] To achieve the above object, the present invention proposes an airflow ventilation simulation test method, the airflow ventilation simulation test method comprising: Setting an initial experimental environment, obtaining a calculated value of system pressure loss based on the initial experimental environment, and determining a power system requirement; Building an experimental air duct based on the initial experimental environment, providing the power system requirements to the experimental air duct, and obtaining a system pressure loss measurement value; The calculated value of the system pressure loss is compared with the measured value of the system pressure loss to determine the correction value of the experimental air duct parameter, and a system pressure loss digital model is constructed based on the correction value. The system pressure loss digital model is used for airflow ventilation simulation test.

[0006] In summary, according to an airflow ventilation simulation test method proposed in the present invention, an initial experimental environment is set, based on the initial experimental environment, a calculated value of system pressure loss is obtained, and the power system demand is determined. According to the obtained power system demand, an experimental air duct is built based on the initial experimental environment parameters, and the experimental air duct is ventilated according to the obtained power system demand, and the system pressure loss measurement value is measured, and multiple groups of experimental data are repeated, and the measured values ​​and calculated values ​​under the same environment are compared to obtain the corrected values ​​of the experimental air duct parameters, and a system pressure loss digital model is built according to the corrected values ​​of the experimental air duct parameters to improve the simulation degree and reduce the error. The present invention compares the theoretical calculated value and the actual measured value to correct the material parameters, realizes the combination of simulation technology and model test, reduces the cost, and improves the accuracy, so that the engineering design personnel can provide a theoretical basis for the power selection of the full-modulus high-speed airflow ventilation system.

[0007] According to one aspect of the above technical solution, the step of setting the initial experimental environment includes: Construct a computational fluid dynamics model, and input initial experimental environment parameters into the computational fluid dynamics model, wherein the initial experimental environment parameters at least include initial environment pressure P, environment temperature T, pipe diameter , Pipeline length , fluid flow rate , Absolute roughness of pipeline surface and drag coefficient .

[0008] According to one aspect of the above technical solution, the step of constructing a computational fluid dynamics model and inputting initial experimental environment parameters into the computational fluid dynamics model comprises: The system pressure loss calculation value is obtained by using the pipeline along-the-way resistance calculation formula and the pipeline local resistance calculation formula. The system pressure loss calculation value includes the pipeline along-the-way resistance and local resistance ; The pipeline resistance The calculation formula is:

[0009]

[0010] in, is the friction coefficient, is the fluid density, is the pipe diameter, is the fluid flow rate, is the pipe length, is the absolute roughness of the pipe surface, is a logarithmic function, is the Reynolds coefficient, and the Reynolds coefficient The calculation formula is:

[0011] in, is the kinematic viscosity of the fluid; The local resistance The calculation formula is:

[0012] in, is the drag coefficient; Based on the pipeline resistance and the local resistance , determine the power system requirements.

[0013] According to one aspect of the above technical solution, in the step of building an experimental air duct based on the initial experimental environment, providing the power demand to the experimental air duct, and obtaining a system pressure loss measurement value; Based on the initial experimental environment parameters, an experimental air duct is built, the power system requirements are provided to the experimental air duct, and the pipeline resistance along the way under the current initial experimental environment parameters is measured. and local resistance The measurement value of .

[0014] According to one aspect of the above technical solution, the steps of comparing the calculated system pressure loss value with the measured system pressure loss value, determining the correction value of the experimental air duct parameter, and constructing a system pressure loss digital model based on the correction value, and using the system pressure loss digital model for airflow ventilation simulation test include: Repeat the design to exclude the resistance coefficient and the absolute roughness of the pipeline surface, and obtain multiple groups of pipeline resistance. and local resistance Compare the calculated and measured values ​​of multiple groups of pipeline resistance along the way and local resistance The calculated and measured values ​​of the pipeline resistance are obtained and local resistance The absolute roughness of the pipeline surface can be obtained by inverse calculation of the pipeline resistance and local resistance. and drag coefficient Correction value of Based on the initial ambient pressure P, ambient temperature T, pipe diameter , Pipeline length , fluid flow rate , absolute roughness of the pipe surface Correction value and drag coefficient The correction value is used to build a digital model of system pressure loss.

[0015] The present invention also provides an airflow ventilation simulation test system, which is used to implement the above-mentioned airflow ventilation simulation test method, and the system includes: Theoretical calculation module, used to set the initial experimental environment, obtain the system pressure loss calculation value based on the initial experimental environment, and determine the power system demand; An actual metering module, used to build an experimental air duct based on the initial experimental environment, provide the power system requirements to the experimental air duct, and obtain a system pressure loss metering value; The pressure loss model module is used to compare the calculated value of the system pressure loss and the measured value of the system pressure loss, determine the correction value of the experimental air duct parameters, and construct a system pressure loss digital model based on the correction value. The system pressure loss digital model is used for airflow ventilation simulation test.

[0016] The present invention also proposes an airflow ventilation simulation test device, which is used to implement the above-mentioned airflow ventilation simulation test method, and the airflow ventilation simulation test device includes an experimental air duct, a power system and an air damper respectively arranged at both ends of the experimental air duct, a plurality of wind speed and air volume transmitters and a plurality of pressure transmitters arranged in the experimental air duct, and a data collector electrically connected to the wind speed and air volume transmitter and the pressure transmitter; The pipeline includes a first pipe section, a second pipe section, and a third pipe section which are connected in sequence. The second pipe section is connected to the first pipe section and the second pipe section in a curved manner. The first pipe section, the second pipe section, and the third pipe section are all provided with wind speed and volume transmitters and pressure transmitters.

[0017] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the airflow ventilation simulation test method as described above is implemented.

[0018] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of the airflow ventilation simulation test method in Embodiment 1 of the present invention; Figure 2 It is a structural schematic diagram of the airflow ventilation simulation test system in the second embodiment of the present invention; Figure 3 It is a structural schematic diagram of the airflow ventilation simulation test equipment in Example 4 of the present invention. DETAILED DESCRIPTION

[0020] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0021] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0023] Embodiment 1 like Figure 1 The flowchart of an airflow ventilation simulation test method in the first embodiment of the present invention is shown. The airflow ventilation simulation test method includes the following steps S01 to S03, wherein: S01. Setting an initial experimental environment, obtaining a calculated value of system pressure loss based on the initial experimental environment, and determining power system requirements.

[0024] Input the initial experimental environment parameters into the computational fluid dynamics model, wherein the initial experimental environment parameters at least include the initial environment pressure P, the environment temperature T, the pipe diameter , Pipeline length , fluid flow rate , Absolute roughness of pipeline surface and drag coefficient Based on the material of the experimental air duct, the absolute roughness of the pipe surface of the pipe material to be used is determined through data query. and drag coefficient of experience value.

[0025] Set the initial ambient pressure P, ambient temperature T, and pipe diameter , Pipeline length , fluid flow rate The parameters such as the above are input into the digital model, and the digital model is discretized, and the methods include but are not limited to the finite difference method, the finite volume method, and the finite element method, etc., and the absolute roughness of the pipeline surface of the pipeline material to be used is obtained. and drag coefficient The empirical value of is used as the boundary condition, and the NS equation solver is called to perform CFD (computational fluid dynamics) simulation to obtain the resistance along the pipeline. and local resistance .

[0026] After inputting the initial experimental environment parameters and building the computational fluid dynamics model, the system pressure loss calculation value is obtained using the pipeline along-the-way resistance calculation formula and the pipeline local resistance calculation formula. The system pressure loss calculation value includes the pipeline along-the-way resistance and local resistance .

[0027] The pipeline resistance The calculation formula is:

[0028]

[0029] in, is the friction coefficient, is the fluid density, is the pipe diameter, is the fluid flow rate, is the pipe length, is the absolute roughness of the pipe surface, is a logarithmic function, is the Reynolds coefficient, and the Reynolds coefficient The calculation formula is:

[0030] in, is the kinematic viscosity of the fluid; The local resistance The calculation formula is:

[0031] in, is the drag coefficient; Based on the pipeline resistance and the local resistance , determine the power system requirements.

[0032] S02. Building an experimental air duct based on the initial experimental environment, providing the power system demand to the experimental air duct, and obtaining a system pressure loss measurement value.

[0033] After obtaining the power system requirements, build an experimental air duct according to the initial experimental environment parameters, provide the experimental air duct with the power system requirements obtained in step S01, and set measurement points in the experimental air duct to obtain the pipeline resistance in the actual environment. and local resistance The measurement value of .

[0034] S03. Compare the calculated value of the system pressure loss with the measured value of the system pressure loss, determine the correction value of the experimental air duct parameter, and construct a system pressure loss digital model based on the correction value, wherein the system pressure loss digital model is used for airflow ventilation simulation test.

[0035] The pipeline resistance and local resistance The measured value and calculated value are compared. If the error between the measured value and the calculated value is within the preset error threshold, multi-specification verification is performed. Any set of materials requires at least two sets of different pipe diameters to be tested to improve reliability. If the error between the measured value and the calculated value exceeds the preset error threshold, the obtained measured value and calculated value are corrected. Based on the principle of controlled variables, after excluding the resistance coefficient and the absolute roughness of the pipeline surface, the experimental environment parameters are repeatedly designed to obtain multiple sets of pipeline along-the-line resistance. and local resistance The calculated value and the measured value are compared to obtain the correction value of the pipeline along-the-way resistance and the local resistance, and the absolute roughness of the pipeline surface is obtained by inverse calculation through the calculation formula of the pipeline along-the-way resistance and the local resistance. and drag coefficient Correction value.

[0036] Among them, due to the resistance coefficient and absolute roughness of the pipe surface It cannot be measured by metering methods, but can only be obtained by measuring the resistance loss and using the calculation formula of pipeline resistance and local resistance to reversely deduce it. Therefore, in order to obtain a more accurate resistance coefficient and absolute roughness of the pipe surface It is used by engineering designers to select the power of full-modulus high-speed airflow ventilation system. The system pressure loss calculation value is theoretically calculated by using the computational fluid dynamics model, and compared with the actual system pressure loss measurement value to obtain the corrected pipeline resistance along the way. and local resistance Correction value. Among them, the correction method can establish a mapping relationship between the measured value and the calculated value through statistical methods (linear regression, polynomial fitting). Specifically, the quadratic relationship between wind speed and resistance loss can be fitted by the least squares method. and local resistance Correction value to infer the drag coefficient and absolute roughness of the pipe surface The drag coefficient and absolute roughness of the pipe surface The correction value is used as the boundary condition of the digital model to obtain the digital model of system pressure loss.

[0037] Using the calibrated parameters, the performance of any specification (full modulus) of the material air duct is simulated and calculated, and finally the air duct resistance coefficient model is established to clarify the resistance characteristics under different air volumes and wind speeds, which is used by engineering designers to select the power for the full-modulus high-speed airflow ventilation system.

[0038] In summary, according to an airflow ventilation simulation test method proposed in the present invention, an initial experimental environment is set, based on the initial experimental environment, a calculated value of system pressure loss is obtained, and the power system demand is determined. According to the obtained power system demand, an experimental air duct is built based on the initial experimental environment parameters, and the experimental air duct is ventilated according to the obtained power system demand, and the system pressure loss measurement value is measured, and multiple groups of experimental data are repeated, and the measured values ​​and calculated values ​​under the same environment are compared to obtain the corrected values ​​of the experimental air duct parameters, and a system pressure loss digital model is built according to the corrected values ​​of the experimental air duct parameters to improve the simulation degree and reduce the error. The present invention compares the theoretical calculated value and the actual measured value to correct the material parameters, realizes the combination of simulation technology and model test, reduces the cost, and improves the accuracy, so that the engineering design personnel can provide a theoretical basis for the power selection of the full-modulus high-speed airflow ventilation system.

[0039] Embodiment 2 Another aspect of the present invention is to provide an airflow ventilation simulation test system, please refer to Figure 2 , which is a schematic diagram of the structure of the airflow ventilation simulation test system in the second embodiment of the present invention, the airflow ventilation simulation test system comprises: Theoretical calculation module 21 is used to set an initial experimental environment, obtain a system pressure loss calculation value based on the initial experimental environment, and determine the power system demand; The actual metering module 22 is used to build an experimental air duct based on the initial experimental environment, provide the power system requirements to the experimental air duct, and obtain a system pressure loss metering value; The pressure loss model module 23 is used to compare the calculated value of the system pressure loss with the measured value of the system pressure loss, determine the correction value of the experimental air duct parameter, and construct a system pressure loss digital model based on the correction value. The system pressure loss digital model is used for airflow ventilation simulation test.

[0040] Input the initial experimental environment parameters into the computational fluid dynamics model, wherein the initial experimental environment parameters at least include the initial environment pressure P, the environment temperature T, the pipe diameter , Pipeline length , fluid flow rate , Absolute roughness of pipeline surface and drag coefficient Based on the material of the experimental air duct, the absolute roughness of the pipe surface of the pipe material to be used is determined through data query. and drag coefficient of experience value.

[0041] Set the initial ambient pressure P, ambient temperature T, and pipe diameter , Pipeline length , fluid flow rate The parameters such as the above are input into the digital model, and the digital model is discretized, and the methods include but are not limited to the finite difference method, the finite volume method, and the finite element method, etc., and the absolute roughness of the pipeline surface of the pipeline material to be used is obtained. and drag coefficient The empirical value of is used as the boundary condition, and the NS equation solver is called to perform CFD (computational fluid dynamics) simulation to obtain the resistance along the pipeline. and local resistance .

[0042] After inputting the initial experimental environment parameters and building the computational fluid dynamics model, the system pressure loss calculation value is obtained using the pipeline along-the-way resistance calculation formula and the pipeline local resistance calculation formula. The system pressure loss calculation value includes the pipeline along-the-way resistance and local resistance .

[0043] The pipeline resistance The calculation formula is:

[0044]

[0045] in, is the friction coefficient, is the fluid density, is the pipe diameter, is the fluid flow rate, is the pipe length, is the absolute roughness of the pipe surface, is a logarithmic function, is the Reynolds coefficient, and the Reynolds coefficient The calculation formula is:

[0046] in, is the kinematic viscosity of the fluid; The local resistance The calculation formula is:

[0047] in, is the drag coefficient; Based on the pipeline resistance and the local resistance , determine the power system requirements.

[0048] After obtaining the power system requirements, build an experimental air duct according to the initial experimental environment parameters, provide the experimental air duct with the power system requirements obtained in step S01, and set measurement points in the experimental air duct to obtain the pipeline resistance in the actual environment. and local resistance The measurement value of .

[0049] The pipeline resistance and local resistance The measured value and calculated value are compared. If the error between the measured value and the calculated value is within the preset error threshold, multi-specification verification is performed. Any set of materials requires at least two sets of different pipe diameters to be tested to improve reliability. If the error between the measured value and the calculated value exceeds the preset error threshold, the obtained measured value and calculated value are corrected. Based on the principle of controlled variables, after excluding the resistance coefficient and the absolute roughness of the pipeline surface, the experimental environment parameters are repeatedly designed to obtain multiple sets of pipeline along-the-line resistance. and local resistance The calculated value and the measured value are compared to obtain the correction value of the pipeline along-the-way resistance and the local resistance, and the absolute roughness of the pipeline surface is obtained by inverse calculation through the calculation formula of the pipeline along-the-way resistance and the local resistance. and drag coefficient Correction value.

[0050] Among them, due to the resistance coefficient and absolute roughness of the pipe surface It cannot be measured by metering methods, but can only be obtained by measuring the resistance loss and using the calculation formula of pipeline resistance and local resistance to reversely deduce it. Therefore, in order to obtain a more accurate resistance coefficient and absolute roughness of the pipe surface It is used by engineering designers to select the power of full-modulus high-speed airflow ventilation system. The system pressure loss calculation value is theoretically calculated by using the computational fluid dynamics model, and compared with the actual system pressure loss measurement value to obtain the corrected pipeline resistance along the way. and local resistance Correction value. Among them, the correction method can establish a mapping relationship between the measured value and the calculated value through statistical methods (linear regression, polynomial fitting). Specifically, the quadratic relationship between wind speed and resistance loss can be fitted by the least squares method. and local resistance Correction value to infer the drag coefficient and absolute roughness of the pipe surface The drag coefficient and absolute roughness of the pipe surface The correction value is used as the boundary condition of the digital model to obtain the digital model of system pressure loss.

[0051] Using the calibrated parameters, the performance of any specification (full modulus) of the material air duct is simulated and calculated, and finally the air duct resistance coefficient model is established to clarify the resistance characteristics under different air volumes and wind speeds, which is used by engineering designers to select the power for the full-modulus high-speed airflow ventilation system.

[0052] In summary, according to an airflow ventilation simulation test system proposed by the present invention, an initial experimental environment is set, based on the initial experimental environment, a calculated value of system pressure loss is obtained, and the power system demand is determined. According to the obtained power system demand, an experimental air duct is built based on the initial experimental environment parameters, and the experimental air duct is ventilated according to the obtained power system demand, and the system pressure loss measurement value is measured, and multiple groups of experimental data are repeated, and the measured values ​​and calculated values ​​under the same environment are compared to obtain the corrected values ​​of the experimental air duct parameters, and a system pressure loss digital model is built according to the corrected values ​​of the experimental air duct parameters to improve the simulation degree and reduce the error. The present invention compares the theoretical calculated value and the actual measured value to correct the material parameters, realizes the combination of simulation technology and model test, reduces the cost, and improves the accuracy, so that the engineering design personnel can provide a theoretical basis for the power selection of the full-modulus high-speed airflow ventilation system.

[0053] Embodiment 3 Another aspect of the present invention further provides a computer-readable storage medium having one or more computer programs stored thereon, which implement the above-mentioned airflow ventilation simulation test method when executed by a processor.

[0054] Those skilled in the art will appreciate that the logic or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable storage medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable storage medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0055] More specific examples (a non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable storage medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0056] Embodiment 4 Figure 3 An airflow ventilation simulation test device is provided for Example 4, and the airflow ventilation simulation test device includes an experimental air duct, a power system 13 and an air damper 12 respectively arranged at both ends of the experimental air duct, a plurality of wind speed and air volume transmitters and a plurality of pressure transmitters arranged in the experimental air duct, and a data acquisition device electrically connected to the wind speed and air volume transmitters and the pressure transmitters.

[0057] In this embodiment, the pipeline includes a first pipe section, a second pipe section, and a third pipe section connected in sequence, the second pipe section is bent and connected to the first pipe section and the second pipe section respectively, and the first pipe section, the second pipe section and the third pipe section are all provided with wind speed and volume transmitters and pressure transmitters.

[0058] A power system 13 is provided at one end of the first pipe section away from the second pipe section, and a measuring point 14 and a measuring point 2 15 are respectively provided at the middle and tail end of the first pipe section, and a first wind speed and air volume transmitter 2 and a first pressure transmitter 3 are provided at the measuring point 14, and a second pressure transmitter 4 and a third pressure transmitter 5 are provided at the measuring point 2 15 which is a turning point; a measuring point 3 16 is also provided at the middle of the second pipe section, accompanied by a second wind speed and air volume transmitter 6 and a fourth pressure transmitter 7; a measuring point 4 17 and a measuring point 5 18 are provided on the third pipe section, and the measuring point 4 17 is a turning point, and a fifth pressure transmitter 8 and a sixth pressure transmitter 9 are provided, a third wind speed and air volume transmitter 10 and a seventh pressure transmitter 11 are provided at the measuring point 5 18, and an air regulating door 12 is provided at the tail of the third pipe section.

[0059] Furthermore, the power system 13 can be composed of a centrifugal fan, a centrifugal fan box, a frequency converter, a temperature and humidity sensor, an air pressure sensor, etc., to provide duct air supply power for the experimental air duct, and the power size is adjusted by the frequency converter.

[0060] After selecting the initial experimental environment parameters to build the experimental air duct, determine the initial wind speed and the maximum wind speed, adjust the damper 12, and perform a power-on test to ensure that the wind speed provided by the centrifugal fan is within the set wind speed range of the initial wind speed and the maximum wind speed by adjusting the frequency of the damper 12.

[0061] Before conducting the experiment, read the current ambient temperature and humidity, as well as the atmospheric pressure, adjust the frequency of the centrifugal fan, set the initial wind speed of the pipeline, and use the data collector to record the test data of the first wind speed and air volume transmitter 2, the second wind speed and air volume transmitter 6, the third wind speed and air volume transmitter 10, the first pressure transmitter 3, the second pressure transmitter 4, the third pressure transmitter 5, the fourth pressure transmitter 7, the fifth pressure transmitter 8, the sixth pressure transmitter 9, and the seventh pressure transmitter 11. Repeat the above test, increasing the wind speed in turn until the maximum wind speed is set. Organize the data through the data collector, export the test record table, and obtain the pressure and air volume and wind speed distribution data within the set wind speed range under different pipe diameters of the current model, and calculate the absolute roughness of the pipeline surface. and drag coefficient The correction value is calculated based on the absolute roughness of the pipeline surface. and drag coefficient The correction value is used to build a digital model of system pressure loss to improve the accuracy of the digital model and provide a theoretical basis for engineering designers to select the power for the full-module high-speed airflow ventilation system.

[0062] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0063] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An airflow ventilation simulation test method, characterized in that: The airflow ventilation simulation test method comprises: Setting an initial experimental environment, obtaining a calculated value of system pressure loss based on the initial experimental environment, and determining power system requirements; Building an experimental air duct based on the initial experimental environment, providing the power system requirements to the experimental air duct, and obtaining a system pressure loss measurement value; The calculated value of the system pressure loss is compared with the measured value of the system pressure loss to determine the correction value of the experimental air duct parameter, and a system pressure loss digital model is constructed based on the correction value. The system pressure loss digital model is used for airflow ventilation simulation test.

2. The airflow ventilation simulation test method according to claim 1, characterized in that: The steps of setting up the initial experimental environment include: Construct a computational fluid dynamics model, and input initial experimental environment parameters into the computational fluid dynamics model, wherein the initial experimental environment parameters at least include initial environment pressure P, environment temperature T, pipe diameter , Pipeline length , fluid flow rate , Absolute roughness of pipeline surface and drag coefficient .

3. The airflow ventilation simulation test method according to claim 2, characterized in that: The step of constructing a computational fluid dynamics model and inputting initial experimental environment parameters into the computational fluid dynamics model comprises: The system pressure loss calculation value is obtained by using the pipeline along-the-way resistance calculation formula and the pipeline local resistance calculation formula. The system pressure loss calculation value includes the pipeline along-the-way resistance and local resistance ; The pipeline resistance The calculation formula is: in, is the friction coefficient, is the fluid density, is the pipe diameter, is the fluid flow rate, is the pipe length, is the absolute roughness of the pipe surface, is a logarithmic function, is the Reynolds coefficient, and the Reynolds coefficient The calculation formula is: in, is the kinematic viscosity of the fluid; The local resistance The calculation formula is: in, is the drag coefficient; Based on the pipeline resistance and the local resistance , determine the power system requirements.

4. The airflow ventilation simulation test method according to claim 1, characterized in that: The step of building an experimental air duct based on the initial experimental environment, providing the power demand to the experimental air duct, and obtaining a system pressure loss measurement value; Based on the initial experimental environment parameters, an experimental air duct is built, the power system requirements are provided to the experimental air duct, and the pipeline resistance along the way under the current initial experimental environment parameters is measured. and local resistance The measurement value of .

5. The airflow ventilation simulation test method according to claim 1, characterized in that: The steps of comparing the calculated value of the system pressure loss with the measured value of the system pressure loss, determining the correction value of the experimental air duct parameter, and constructing a system pressure loss digital model based on the correction value, wherein the system pressure loss digital model is used for the airflow ventilation simulation test include: Repeat the design to exclude the resistance coefficient and the absolute roughness of the pipeline surface, and obtain multiple groups of pipeline resistance. and local resistance Compare the calculated and measured values ​​of multiple groups of pipeline resistance along the way and local resistance The calculated and measured values ​​of the pipeline resistance are obtained and local resistance The absolute roughness of the pipeline surface can be obtained by inverse calculation of the pipeline resistance and local resistance. and drag coefficient Correction value of Based on the initial ambient pressure P, ambient temperature T, pipe diameter , Pipeline length , fluid flow rate , absolute roughness of the pipe surface Correction value and drag coefficient The correction value is used to build a digital model of system pressure loss.

6. An airflow ventilation simulation test system, characterized in that: The airflow ventilation simulation test system is used to implement the airflow ventilation simulation test method according to any one of claims 1 to 5, and the system comprises: Theoretical calculation module, used to set the initial experimental environment, obtain the system pressure loss calculation value based on the initial experimental environment, and determine the power system demand; An actual metering module, used to build an experimental air duct based on the initial experimental environment, provide the power system requirements to the experimental air duct, and obtain a system pressure loss metering value; The pressure loss model module is used to compare the calculated value of the system pressure loss and the measured value of the system pressure loss, determine the correction value of the experimental air duct parameters, and construct a system pressure loss digital model based on the correction value. The system pressure loss digital model is used for airflow ventilation simulation test.

7. An airflow ventilation simulation test device, characterized in that: The airflow ventilation simulation test equipment is used to implement the airflow ventilation simulation test method described in any one of claims 1 to 5, and the airflow ventilation simulation test equipment includes an experimental air duct, a power system and an air damper respectively arranged at both ends of the experimental air duct, a plurality of wind speed and air volume transmitters and a plurality of pressure transmitters arranged in the experimental air duct, and a data collector electrically connected to the wind speed and air volume transmitter and the pressure transmitter; The pipeline includes a first pipe section, a second pipe section, and a third pipe section which are connected in sequence. The second pipe section is connected to the first pipe section and the second pipe section in a curved manner. The first pipe section, the second pipe section, and the third pipe section are all provided with wind speed and volume transmitters and pressure transmitters.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the airflow ventilation simulation test method as described in any one of claims 1 to 5 is implemented.

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