CN113033112A - Method and equipment for modeling clean room air system - Google Patents
Method and equipment for modeling clean room air system Download PDFInfo
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Abstract
The invention discloses a method and equipment for modeling a clean room air system, which are used for solving the problem of low efficiency of manually adjusting the air volume of the clean room air system in the prior art. The wind system modeling method comprises the following steps: acquiring size data of a pipe section of the wind system, an on-way resistance coefficient of the pipe section and a local resistance coefficient of the pipe section to calculate the impedance of the pipe section; calculating a pipeline characteristic coefficient according to the pipe section impedance and the connection relation of the wind system pipe sections; constructing a pipeline characteristic curve based on the pipeline characteristic coefficient; and calculating the total air volume of the air system pipe network according to the pipeline characteristic curve and the pre-fitted fan characteristic curve.
Description
Technical Field
The invention belongs to the technical field of clean air conditioners, and particularly relates to a method and equipment for building a clean room air system.
Background
The existing air conditioning system of a clean factory building mainly comprises an air handling unit, a fresh air handling unit, a ventilation pipeline, an air supply and exhaust device, various air valves, a data acquisition and control system and the like. When the air conditioning system runs, an operator needs to set the running frequency of various fans and the opening of various air valves according to the difference between actual running parameters and design parameters to carry out system air balance adjustment, and after the system is stabilized, actual room data is compared with the design parameters; and repeating the steps until the room parameters finally accord with the design parameters, and continuously operating the air conditioning system after the air conditioning system keeps the state.
However, this air volume adjusting method excessively depends on the experience of the operator, and the adjusting efficiency is low.
Disclosure of Invention
The application aims to provide a method and equipment for modeling a clean room air system, so as to meet the modeling of the total air volume and the air volume distribution of a clean room air system pipe network.
In order to achieve the above object, an embodiment of the present application provides the following technical solutions:
a method of building a clean room air system, the method comprising:
acquiring size data of a pipe section of the wind system, an on-way resistance coefficient of the pipe section and a local resistance coefficient of the pipe section to calculate the impedance of the pipe section;
calculating a pipeline characteristic coefficient according to the pipe section impedance and the connection relation of the wind system pipe sections;
constructing a pipeline characteristic curve based on the pipeline characteristic coefficient;
and calculating the total air volume of the air system pipe network according to the pipeline characteristic curve and the pre-fitted fan characteristic curve.
In one embodiment, the wind system pipe segment size data includes a pipe segment width H, a pipe segment height W;
acquiring an on-way resistance coefficient of a pipe section, and specifically comprising the following steps:
calculating the equivalent diameter D of the pipe section according to the width H and the height W of the pipe section;
and calculating the on-way resistance coefficient of the pipe section based on the equivalent diameter D and the Aritsushi formula.
In one embodiment, the calculation method of the on-way resistance coefficient of the pipe section is as follows:
coefficient of on-way resistance of pipe section
Where K is the absolute roughness and Re is the Reynolds number.
In one embodiment, the wind system pipe segment dimensional data further includes a pipe segment length L;
the impedance calculation mode of the pipe section is as follows:
impedance of pipe section
Wherein Li is the length of any pipe section, ξ is the local resistance coefficient of the pipe section to be obtained, and Di is the equivalent diameter of any pipe section.
In one embodiment, calculating a pipeline characteristic coefficient according to the pipe section impedance and the connection relationship of the pipe sections of the wind system specifically includes:
measuring impedance value S ═ S of series-connected pipe sectionsi；
Measuring impedance values of parallel-connected pipe sections
Calculating a pipeline characteristic coefficient S according to the series impedance value and the parallel impedance value of each pipe section in the pipe networkGeneral assembly。
In one embodiment, the wind system pipe section size data further includes a pipe section design air quantity Q;
characteristic curve of the pipeline
Wherein Q isGeneral assemblyAnd represents the total air quantity of the pipeline.
In one embodiment, the pre-fitted fan characteristic curve is:
wherein, PdRated head, Q, for fandIs a fanRated air volume, ndRated speed of the fan; prIs the actual pressure head, Q, of the fanrIs the actual air quantity of the fan, nrThe actual rotating speed of the fan is set; a is1、a2、a3、a4Is the coefficient of the fan performance curve.
In one embodiment, the method further comprises:
distributing the flow of each pipe section in the pipe network according to the total air volume of the pipe network and the series impedance value and the parallel impedance value of each pipe section in the pipe network;
obtaining actual flow values of all spaces in the clean room according to the distribution flow of all pipe sections in the pipe network;
comparing the actual flow value and the designed air flow value of each space in the clean room; if the comparison result is not consistent with the comparison result,
and adjusting the opening of the air valve and/or the running frequency of the fan of each pipe section in the pipe network until the comparison results are consistent.
In one embodiment, the opening degree of the air valve is adjusted to control the air valve impedance of the corresponding pipe section; the calculation method of the air valve impedance is as follows:
air valve impedance
Wherein theta is the range of the valve position angle opening of the air valve, A is the sectional area of the air valve, rho is the gas density, and a, b and c are constant coefficients.
The present application further provides a cleanroom air system modeling apparatus, comprising:
at least one processor; and
a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the clean room wind system modeling method as described above.
According to the method for modeling the clean room air system, the pipe section impedance is calculated by acquiring the size data of the pipe section of the air system, the on-way resistance coefficient of the pipe section and the local resistance coefficient of the pipe section; calculating a pipeline characteristic coefficient according to the impedance of the pipeline section and the connection relation of the pipeline sections of the wind system, thereby constructing a pipeline characteristic curve; finally, according to the pipeline characteristic curve and the pre-fitted fan characteristic curve, the total air volume of the wind system pipe network is calculated, so that the manual adjusting process can be executed in the modes of a functional module, a server, cloud service and the like, and the adjusting efficiency is high.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method for modeling a clean room air system according to the present application;
FIG. 2 is a graph simulation diagram of a method for modeling a clean room air system according to an embodiment of the present disclosure, wherein operating condition points of a fan are calculated according to a pipeline characteristic curve and a pre-fitted fan characteristic curve;
FIG. 3 is a flow chart of an embodiment of a method for modeling a clean room air system according to the present application;
FIG. 4 is a block diagram of one embodiment of a clean room air system modeling apparatus of the present application;
fig. 5 is a hardware configuration diagram of an embodiment of the clean room air system modeling apparatus according to the present application.
Detailed Description
The present invention will be described in detail below with reference to embodiments shown in the drawings. The embodiments are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the embodiments are included in the scope of the present invention.
Referring to fig. 1, a method for modeling a clean room air system according to an embodiment of the present invention is described. In this embodiment, the method comprises:
and S11, acquiring the size data of the wind system pipe section, the on-way resistance coefficient of the pipe section and the local resistance coefficient of the pipe section to calculate the impedance of the pipe section.
The size data of the wind system pipe section comprises a pipe section width H, a pipe section height W, a pipe section length L and a pipe section design air quantity Q. Based on the acquired size data of the wind system pipe sections, the equivalent diameter D of each pipe section in the wind system pipe network can be calculated.
In one embodiment, the equivalent diameter
The on-way resistance coefficient of each pipe section in the wind system pipe network can be obtained according to the calculated pipe section equivalent diameter D and the Ariety Sury formula.
In one embodiment, the in-path coefficient of resistance of the pipe section
Wherein K is the absolute roughness; re is the Reynolds number, in particular
(flow rate x equivalent diameter/kinematic viscosity).
Finally, impedance of the pipe section
Wherein Li is the length of any pipe section, ξ is the local resistance coefficient of the pipe section to be obtained, and Di is the equivalent diameter of any pipe section. Specifically, the pipe section local resistance coefficient ξ may be pre-obtained from experiments or specifications.
And S12, calculating a pipeline characteristic coefficient according to the pipe section impedance and the connection relation of the wind system pipe sections.
The pipe sections of the pipe network in the wind system are usually connected in series and in parallel. For the series-connected sections, the series impedance value S ═ Si(ii) a For parallel connected pipe sections, their parallel impedance values
Therefore, the sum of the series impedance values of all the pipe sections in the wind system pipe network is calculated through overall planningAnd connecting the impedance values, thereby obtaining the total impedance value of all pipe sections in the pipe network. In the present embodiment, the total impedance value obtained here is also referred to as a pipeline characteristic coefficient SGeneral assembly。
And S13, constructing a pipeline characteristic curve based on the pipeline characteristic coefficient.
Specifically, the pipeline characteristic curve is related to the pipeline characteristic coefficient and the design air volume of the previously acquired pipeline section. In one embodiment, the pipeline characteristic curve
Wherein Q isGeneral assemblyAnd the total air volume of the pipeline is shown, namely the sum of the pipeline air volumes of the pipe network obtained based on the pipe section design air volume Q.
And S14, calculating the total air volume of the air system pipe network according to the pipeline characteristic curve and the pre-fitted fan characteristic curve.
The total air volume of the pipe network of the air system is a part of the modeling of the air system, and in the embodiment, the total air volume of the pipe network is correspondingly represented by the operation pressure head and the air volume of the fan. And the fan characteristic curve can be fitted by referring to the sample parameters of a specific fan according to different fans in practical application.
In one embodiment, the pre-fitted fan characteristic curve is:
wherein, PdRated head, Q, for fandRated air quantity of fan, ndRated speed of the fan; prIs the actual pressure head, Q, of the fanrIs the actual air quantity of the fan, nrThe actual rotating speed of the fan is set; a is1、a2、a3、a4Is the coefficient of the fan performance curve.
With reference to fig. 2, in the process of calculating the total air volume of the wind system pipe network, the intersection point, i.e. the operating condition point of the fan, can be solved by using the simultaneous equation set of the pipeline characteristic curve and the fan characteristic curve, so as to obtain the operating pressure head and the air volume of the fan. Corresponding to fig. 2, the upward parabola is a pipeline characteristic curve, the downward parabola is a fan characteristic curve, and the intersection point of the two curves is a fan operating condition point.
The above introduces an implementation of how to model the total air volume of a wind system pipe network in the wind system modeling. Further, after obtaining the total air volume of the pipe network, the air volume of the pipe network needs to be distributed to each pipe section in the pipe network.
Referring to fig. 3, in particular, in the present embodiment, the wind system modeling method further includes:
and S21, distributing the flow of each pipe section in the pipe network according to the total air volume of the pipe network and the series impedance value and the parallel impedance value of each pipe section in the pipe network.
Accordingly, the pipe sections with high impedance dispense relatively less flow and the pipe sections with low impedance dispense relatively more flow.
And S22, obtaining the actual flow value of each space in the clean room according to the distribution flow of each pipe section in the pipe network.
Specifically, the flow values corresponding to the tuyeres can be obtained according to the distribution flow of each pipe section in the pipe network, so that the actual flow values of each space in the clean room can be obtained. Here, the air supply amount, the air return amount, and the air discharge amount of each space are basically the same in principle.
It should be noted that each space in the clean room as referred to herein may be a plurality of rooms in the clean room.
And S23, comparing the actual flow value and the design air flow value of each space in the clean room.
The actual flow value and the design air volume value of each space in the clean room are compared, and whether the design requirements of each space in the clean room can be met or not according to the current air volume distribution mode can be known. If the comparison result is consistent, the modeling of the current air system is completed, and the air volume distribution of each space in the clean room is reasonable; if the comparison result is not consistent, it indicates that the air volume distribution in the current wind system modeling needs to be further adjusted, and step S24 is executed.
And S24, adjusting the opening of the blast valve and/or the running frequency of the fan of each pipe section in the pipe network until the comparison results are consistent.
The adjustment of the opening degree of the air valve and the operation frequency of the fan are used for adjusting the air quantity of the corresponding pipe section. Specifically, the method comprises the following steps:
the adjustment of the opening degree of the air valve is used for controlling the impedance of the air valve of the corresponding pipe section, for example, the opening degree of the air valve is 0-90 degrees, and the corresponding air valve is fully opened to fully closed. The total impedance value can be changed by adjusting the impedance of the air valves of all the pipe sections, so that the control logic of changing the operating condition point of the fan, changing the air volume distribution and changing the air volume of the pipe sections is realized.
In one embodiment, the damper impedance
Wherein theta is the range of the valve position angle opening of the air valve, A is the sectional area of the air valve, rho is the gas density, and a, b and c are constant coefficients.
Similarly, adjustment of the fan frequency may also change the operating point of the fan. The fans in the wind system are correspondingly configured to be variable frequency fans which can operate at different frequencies, and fan characteristic curves meet the similarity. The adjustment of the running frequency of the fan can change the running speed of the fan, and further influence the constant coefficient value in the characteristic curve of the fan, thereby realizing the control logic of changing the running working condition point of the fan, changing the air volume distribution and changing the air volume of the pipe section.
In a specific application process, the adjustment of the air valve opening and the fan operation frequency can be performed independently or jointly, and the air valve opening and/or the fan operation frequency of each pipe section in the pipe network is continuously adjusted according to a comparison result fed back after adjustment so as to reduce an error between an actual flow value and a designed air flow value of each space.
In one embodiment, a certain range may be preset for the error, and when the error is within the preset range, the comparison result may be considered to be consistent, and the modeling of the whole clean room air system is completed.
Referring to fig. 4, a modeling apparatus 20 of a clean room air system according to an embodiment of the present description is shown.
As shown in fig. 4, the modeling apparatus 20 of the wind system includes an acquisition module 201, a calculation module 202, a construction module 203, and a modeling module 204.
The obtaining module 201 is configured to obtain size data of a pipe section of the wind system, an on-way resistance coefficient of the pipe section, and a local resistance coefficient of the pipe section, so as to calculate an impedance of the pipe section.
In one embodiment, the wind system duct segment size data includes a duct segment width H, a duct segment height W, a duct segment length L, and a duct segment design air flow Q. The obtaining module 201 is specifically configured to:
calculating the equivalent diameter D of the pipe section according to the width H and the height W of the pipe section; calculating the on-way resistance coefficient of the pipe section based on the equivalent diameter D and the Arietsu equation; and, calculating the coefficient of on-way resistance of the pipe section
Wherein K is absolute roughness, and Re is Reynolds number; and, calculating the impedance of the pipe section
Wherein Li is the length of any pipe section, ξ is the local resistance coefficient of the pipe section to be obtained, and Di is the equivalent diameter of any pipe section.
The calculation module 202 is configured to calculate a pipeline characteristic coefficient according to the pipe section impedance and the connection relationship of the wind system pipe sections.
In one embodiment, the calculation module 202 is specifically configured to measure the impedance S ═ Σ S of the serially connected pipe segmentsi(ii) a Measuring impedance values of parallel-connected pipe sections
And calculating the characteristic coefficient S of the pipeline according to the series impedance value and the parallel impedance value of each pipe section in the pipe networkGeneral assembly。
The construction module 203 is configured to construct a pipeline characteristic curve based on the pipeline characteristic coefficients.
In one embodiment, the pipeline characteristic curve
Wherein Q is totalAnd represents the total air quantity of the pipeline.
The modeling module 204 is used for calculating the total air volume of the air system pipe network according to the pipeline characteristic curve and the pre-fitted fan characteristic curve.
In one embodiment, the pre-fitted fan characteristic curve is:
wherein, PdRated head, Q, for fandRated air quantity of fan, ndRated speed of the fan; prIs the actual pressure head, Q, of the fanrIs the actual air quantity of the fan, nrThe actual rotating speed of the fan is set; a is1、a2、a3、a4Is the coefficient of the fan performance curve.
In one embodiment, the wind system modeling apparatus 20 further includes an assigning module 205, a comparing module 206, and a tuning module 207.
The distribution module 205 is configured to distribute the flow of each pipe segment in the pipe network according to the total air volume of the pipe network and the series impedance value and the parallel impedance value of each pipe segment in the pipe network. The calculation module 202 is further configured to obtain an actual flow value of each space in the clean room according to the distribution flow of each pipe segment in the pipe network. The comparison module 206 is used for comparing the actual flow value and the design air flow value of each space in the clean room; the adjusting module 207 is configured to adjust the opening degree of the air valve and/or the operating frequency of the fan of each pipe section in the pipe network until the comparison result is consistent when the comparison result is inconsistent.
In one embodiment, the adjusting module 207 adjusts the opening degree of the air valve to control the air valve impedance of the corresponding pipe section; the calculation method of the air valve impedance is as follows:
air valve impedance
Wherein theta is the range of the valve position angle opening of the air valve, A is the sectional area of the air valve, rho is the gas density, and a, b and c are constant coefficients.
As described above with reference to fig. 1 to 4, the clean room wind system modeling apparatus and the clean room wind system modeling method according to the embodiment of the present specification are described. The details mentioned in the above description of the method embodiments apply equally to the clean room air system modelling arrangement of the embodiments of the present description. The above clean room air system modeling apparatus may be implemented by hardware, or may be implemented by software, or a combination of hardware and software.
Fig. 5 illustrates a hardware block diagram of a computing device 30 for constructing a clean room air system modeling apparatus according to an embodiment of the present description. As shown in fig. 5, the computing device 30 for constructing the clean room wind system modeling apparatus may include at least one processor 301, a storage 302 (e.g., a non-volatile storage), a memory 303, and a communication interface 304, and the at least one processor 301, the storage 302, the memory 303, and the communication interface 304 are connected together via a bus 303. The at least one processor 301 executes at least one computer readable instruction stored or encoded in the memory 302.
It should be appreciated that the computer-executable instructions stored in the memory 302, when executed, cause the at least one processor 301 to perform the various operations and functions described above in connection with fig. 1-4 in the various embodiments of the present specification.
According to the method and the equipment for modeling the clean room air system, the pipe section impedance is calculated by acquiring the size data of the pipe section of the air system, the on-way resistance coefficient of the pipe section and the local resistance coefficient of the pipe section; calculating a pipeline characteristic coefficient according to the impedance of the pipeline section and the connection relation of the pipeline sections of the wind system, thereby constructing a pipeline characteristic curve; finally, according to the pipeline characteristic curve and the pre-fitted fan characteristic curve, the total air volume of the wind system pipe network is calculated, so that the manual adjusting process can be executed in the modes of a functional module, a server, cloud service and the like, and the adjusting efficiency is high.
In embodiments of the present description, computing devices 30 used to construct a clean room wind system modeling device may include, but are not limited to: personal computers, server computers, workstations, desktop computers, laptop computers, notebook computers, mobile computing devices, smart phones, tablet computers, cellular phones, Personal Digital Assistants (PDAs), handheld devices, messaging devices, wearable computing devices, consumer electronics, and so forth.
According to one embodiment, a program product, such as a machine-readable medium, is provided. A machine-readable medium may have instructions (i.e., elements described above as being implemented in software) that, when executed by a machine, cause the machine to perform various operations and functions described above in connection with fig. 1-4 in the various embodiments of the present specification. Specifically, a system or apparatus may be provided which is provided with a readable storage medium on which software program code implementing the functions of any of the above embodiments is stored, and causes a computer or processor of the system or apparatus to read out and execute instructions stored in the readable storage medium.
In this case, the program code itself read from the readable medium can realize the functions of any of the above-described embodiments, and thus the machine-readable code and the readable storage medium storing the machine-readable code form part of this specification.
Examples of the readable storage medium include floppy disks, hard disks, magneto-optical disks, optical disks (e.g., CD-ROMs, CD-R, CD-RWs, DVD-ROMs, DVD-RAMs, DVD-RWs), magnetic tapes, nonvolatile memory cards, and ROMs. Alternatively, the server mentioned in the specification may be a server computer or a cloud that downloads the program code from a communication network.
It will be understood by those skilled in the art that various changes and modifications may be made in the above-disclosed embodiments without departing from the spirit of the invention. Accordingly, the scope of the present description should be limited only by the attached claims.
It should be noted that not all steps and units in the above flows and system structure diagrams are necessary, and some steps or units may be omitted according to actual needs. The execution order of the steps is not fixed, and can be determined as required. The apparatus structures described in the above embodiments may be physical structures or logical structures, that is, some units may be implemented by the same physical client, or some units may be implemented by multiple physical clients, or some units may be implemented by some components in multiple independent devices.
In the above embodiments, the hardware units or modules may be implemented mechanically or electrically. For example, a hardware unit, module or processor may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware units or processors may also include programmable logic or circuitry (e.g., a general purpose processor or other programmable processor) that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
The detailed description set forth above in connection with the appended drawings describes exemplary embodiments but does not represent all embodiments that may be practiced or fall within the scope of the claims. The term "exemplary" used throughout this specification means "serving as an example, instance, or illustration," and does not mean "preferred" or "advantageous" over other embodiments. The detailed description includes specific details for the purpose of providing an understanding of the described technology. However, the techniques may be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form in order to avoid obscuring the concepts of the described embodiments.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of modeling a clean room air system, the method comprising:
acquiring size data of a pipe section of the wind system, an on-way resistance coefficient of the pipe section and a local resistance coefficient of the pipe section to calculate the impedance of the pipe section;
calculating a pipeline characteristic coefficient according to the pipe section impedance and the connection relation of the wind system pipe sections;
constructing a pipeline characteristic curve based on the pipeline characteristic coefficient;
and calculating the total air volume of the air system pipe network according to the pipeline characteristic curve and the pre-fitted fan characteristic curve.
2. The clean room wind system modeling method of claim 1, wherein said wind system duct section dimension data comprises a duct section width H, a duct section height W;
acquiring an on-way resistance coefficient of a pipe section, and specifically comprising the following steps:
calculating the equivalent diameter D of the pipe section according to the width H and the height W of the pipe section;
and calculating the on-way resistance coefficient of the pipe section based on the equivalent diameter D and the Aritsushi formula.
3. The clean room wind system modeling method of claim 2, wherein said pipe segment on-way drag coefficient is calculated by:
coefficient of on-way resistance of pipe section
Where K is the absolute roughness and Re is the Reynolds number.
4. The clean room wind system modeling method of claim 3, wherein said wind system pipe segment dimensional data further comprises a pipe segment length L;
the impedance calculation mode of the pipe section is as follows:
impedance of pipe section
Wherein Li is the length of any pipe section, ζ is the pre-obtained local resistance coefficient of the pipe section, and Di is the pipe section equivalent diameter of any pipe section.
5. The clean room air system modeling method of claim 4, wherein calculating a pipeline characteristic coefficient according to the pipe section impedance and the wind system pipe section connection relationship comprises:
measuring impedance value S ═ S of series-connected pipe sectionsi；
Measuring impedance values of parallel-connected pipe sections
Calculating a pipeline characteristic coefficient S according to the series impedance value and the parallel impedance value of each pipe section in the pipe networkGeneral assembly。
6. The clean room air system modeling method of claim 5, wherein said air system duct section size data further comprises and duct section design air flow Q;
characteristic curve of the pipeline
Wherein Q isGeneral assemblyAnd represents the total air quantity of the pipeline.
7. The clean room wind system modeling method of claim 1, wherein said pre-fitted fan characteristic curve is:
wherein, PdRated head, Q, for fandRated air quantity of fan, ndRated speed of the fan; prIs the actual pressure head, Q, of the fanrIs the actual air quantity of the fan, nrIs a fanActual rotational speed; a is1、a2、a3、a4Is the coefficient of the fan performance curve.
8. The clean room air system modeling method of claim 1, further comprising:
distributing the flow of each pipe section in the pipe network according to the total air volume of the pipe network and the series impedance value and the parallel impedance value of each pipe section in the pipe network;
obtaining actual flow values of all spaces in the clean room according to the distribution flow of all pipe sections in the pipe network;
comparing the actual flow value and the designed air flow value of each space in the clean room; if the comparison result is not consistent with the comparison result,
and adjusting the opening of the air valve and/or the running frequency of the fan of each pipe section in the pipe network until the comparison results are consistent.
9. The clean room air system modeling method of claim 8, wherein adjusting said air valve opening is used to control air valve impedance of the corresponding pipe section; the calculation method of the air valve impedance is as follows:
air valve impedance
Wherein theta is the range of the valve position angle opening of the air valve, A is the sectional area of the air valve, rho is the gas density, and a, b and c are constant coefficients.
10. A clean room air system modeling apparatus, comprising:
at least one processor; and
a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform the method of any of claims 1 to 9.
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| CN113503609A (en) * | 2021-07-01 | 2021-10-15 | 苏州水木科能科技有限公司 | Purification ventilation system fan combined operation working condition point calculation and control method |
| CN114017910A (en) * | 2021-10-27 | 2022-02-08 | 中国核动力研究设计院 | Ventilation system air volume debugging method, ventilation system air volume debugging system and storage medium |
| CN114383270A (en) * | 2022-02-22 | 2022-04-22 | 杭州老板电器股份有限公司 | Control method of centralized air supply system and centralized air supply system |
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