Variable air volume valve control method and system, electronic device, and readable storage medium
By establishing a basic mapping model between dynamic pressure difference and reference air volume and generating compensation coefficients in combination with real-time environmental parameters, the air volume control is dynamically corrected, solving the problem of decreased air volume control accuracy caused by ignoring changes in air density in traditional methods, and achieving higher control accuracy and energy efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN HUAKANG CENTURY MEDICAL CO LTD
- Filing Date
- 2026-03-24
- Publication Date
- 2026-06-12
Smart Images
Figure CN122191750A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of air volume control technology, and in particular to a variable air volume valve control method, system, electronic device and readable storage medium. Background Technology
[0002] With the widespread application of air conditioning systems in various building environments, accurate measurement and control of air volume has become a crucial aspect of ensuring indoor air quality and system energy efficiency. In existing technologies, air volume is typically calculated by measuring the dynamic pressure difference within the duct and combining it with a preset air density value. This conversion process generally uses standard air density as the reference parameter. This conversion method based on standard air density has good applicability in environments with normal temperature and pressure, and in plain areas, and is therefore widely used in conventional ventilation and air conditioning control systems.
[0003] However, in actual operation, air density varies significantly due to factors such as altitude, ambient temperature, and atmospheric pressure. For example, at high altitudes, reduced atmospheric pressure leads to thinner air, resulting in an actual air density significantly lower than the standard value. Furthermore, under extreme high or low temperature conditions, air density can deviate considerably due to thermal expansion and contraction. The inventors discovered that traditional airflow control methods often convert dynamic pressure difference into airflow based on standard air density, failing to adequately consider the differences in air density caused by factors such as altitude and temperature in the actual operating environment. This leads to significant measurement deviations in high-altitude areas or extreme climates, affecting the energy efficiency and comfort of the air conditioning system. Summary of the Invention
[0004] In view of this, embodiments of this application provide a variable air volume valve control method, system, electronic device, and readable storage medium, which can effectively solve the technical problem that the air volume control accuracy of traditional variable air volume valves decreases due to neglecting changes in air density under different ambient temperatures and altitudes.
[0005] In a first aspect, embodiments of this application provide a variable air volume valve control method, the method comprising: Establish a basic mapping model for converting dynamic pressure difference into reference air volume; Collect temperature and atmospheric pressure parameters in the current operating environment, and generate a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters; The dynamic pressure difference in the duct is measured, and the dynamic pressure difference is input into the basic mapping model to obtain the corresponding reference air volume. The reference air volume is then corrected using the compensation coefficient to obtain the actual air volume. Receive the target air volume and generate a deviation signal between the actual air volume and the target air volume; A feedback control algorithm is used to generate control commands based on the deviation signal, and the valve opening of the variable air volume valve is adjusted according to the control commands.
[0006] In some embodiments, establishing a basic mapping model for converting dynamic pressure difference into reference air volume includes: The variable air volume valve is calibrated at the factory under standard atmospheric conditions. Dynamic pressure difference signals and corresponding measured air volume data are simultaneously collected under multiple representative air volume conditions. A mathematical function relationship between the dynamic pressure difference signal and the measured air volume data is constructed using a nonlinear fitting method to obtain the basic mapping model.
[0007] In some embodiments, the step of collecting temperature and atmospheric pressure parameters in the current operating environment and generating a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters includes: Obtain the thermodynamic temperature of the current operating environment; Obtain the absolute atmospheric pressure of the current environment; Obtain the preset standard atmospheric pressure and standard temperature at sea level; Based on the ideal gas law, the compensation coefficient is calculated according to the standard atmospheric pressure at sea level, the standard temperature, the thermodynamic temperature, and the absolute atmospheric pressure.
[0008] In some embodiments, correcting the reference air volume using the compensation coefficient to obtain the actual air volume includes: Measure the dynamic pressure difference within the air duct; The actual air volume is obtained by multiplying the reference air volume by the compensation coefficient.
[0009] In some embodiments, the step of using a feedback control algorithm to generate control commands based on the deviation signal and adjusting the valve opening of the variable air volume valve according to the control commands includes: When the deviation signal is less than a preset threshold, the current valve opening remains unchanged.
[0010] In some embodiments, the step of using a feedback control algorithm to generate control commands based on the deviation signal and adjusting the valve opening of the variable air volume valve according to the control commands includes: When the deviation signal is not less than a preset threshold, the control output is calculated using a PID control algorithm based on the deviation signal. The control output is converted into a control command and sent to the valve actuator to adjust the valve opening.
[0011] In some embodiments, obtaining the absolute atmospheric pressure of the current environment includes: The absolute atmospheric pressure is measured in real time using a barometric pressure sensor. When the pressure sensor is not configured, the absolute atmospheric pressure is calculated based on the pre-stored current location altitude and the international standard atmospheric model.
[0012] Secondly, embodiments of this application provide a variable air volume valve control system, comprising: Establish a module to create a basic mapping model for converting dynamic pressure difference into reference air volume; The data acquisition module collects temperature and atmospheric pressure parameters in the current operating environment, and generates a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters. The correction module measures the dynamic pressure difference in the duct, inputs the dynamic pressure difference into the basic mapping model to obtain the corresponding reference air volume, and uses the compensation coefficient to correct the reference air volume to obtain the actual air volume. The generation module receives the target air volume and generates a deviation signal between the actual air volume and the target air volume; The adjustment module uses a feedback control algorithm to generate control commands based on the deviation signal, and adjusts the valve opening of the variable air volume valve according to the control commands.
[0013] Thirdly, embodiments of this application provide an electronic device, the electronic device comprising: a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the variable air volume valve control method described in the first aspect above.
[0014] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the variable air volume valve control method described in the first aspect.
[0015] The embodiments of this application have the following beneficial effects: The variable air volume (VAV) valve control method of this application includes: establishing a basic mapping model for converting dynamic pressure difference into reference air volume; collecting temperature and atmospheric pressure parameters in the current operating environment, and generating compensation coefficients reflecting differences in air density based on the temperature and atmospheric pressure parameters; measuring the dynamic pressure difference in the duct, inputting the dynamic pressure difference into the basic mapping model to obtain the corresponding reference air volume, and correcting the reference air volume using the compensation coefficients to obtain the actual air volume; generating a deviation signal between the actual air volume and the target air volume; and using a feedback control algorithm to generate control commands based on the deviation signal, and adjusting the valve opening of the VAV valve according to the control commands. This application establishes a basic mapping model between dynamic pressure difference and reference air volume, and combines real-time collected temperature and atmospheric pressure parameters to generate compensation coefficients reflecting changes in actual air density, dynamically correcting the reference air volume to obtain a more accurate actual air volume. This effectively avoids over- or under-air supply caused by environmental differences, improving the control stability and energy efficiency of the system under complex operating conditions. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 This paper shows a first flowchart of a variable air volume valve control method according to an embodiment of the present application. Figure 2 This paper shows a second flowchart of the variable air volume valve control method according to an embodiment of the present application; Figure 3 A schematic diagram of a variable air volume valve control system according to an embodiment of this application is shown. Detailed Implementation
[0018] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.
[0019] The components of the embodiments of this application described and illustrated in the accompanying drawings can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0020] In the following text, the terms "comprising," "having," and their cognates, which may be used in various embodiments of this application, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more combinations thereof. Furthermore, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.
[0021] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be construed as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.
[0022] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0023] Considering the technical problem of decreased airflow control accuracy caused by neglecting changes in air density under different ambient temperatures and altitudes in traditional variable air volume (VAV) valves, this application provides a VAV valve control method, system, electronic device, and readable storage medium. This application establishes a basic mapping model between dynamic pressure difference and reference airflow, and combines real-time collected temperature and atmospheric pressure parameters to generate compensation coefficients reflecting actual air density changes. This dynamically corrects the reference airflow, thereby obtaining a more accurate actual airflow and effectively avoiding over- or under-air delivery caused by environmental differences, thus improving the system's control stability and energy efficiency under complex operating conditions.
[0024] The following describes the control method for the variable air volume valve using specific examples.
[0025] Figure 1 A schematic flowchart of a variable air volume (VAV) valve control method according to an embodiment of this application is shown. Exemplarily, the VAV valve control method of this application embodiment can be applied to any type of VAV valve system. It can be integrated into the valve's built-in controller or configured independently as an edge computing unit, interacting with building automation systems via communication protocols. It is particularly suitable for application scenarios with stringent requirements for air supply accuracy, such as clean operating rooms in hospitals, negative pressure isolation wards, biosafety laboratories, and high-end data centers.
[0026] Exemplary, this variable air volume valve control method includes S101-S105: S101, Establish a basic mapping model for converting dynamic pressure difference into reference air volume.
[0027] This step forms the data foundation of the entire control strategy. Essentially, it involves constructing a nonlinear function driven by measured data as the basic mapping model, replacing the traditional theoretical derivation model based on Bernoulli's equation. The basic mapping model is established based on measuring the dynamic pressure difference between two points in the duct under standard air conditions using a zero-point calibrated differential pressure sensor. Due to dynamic pressure difference The theoretical formula for calculating wind speed V is: ,in, The air density is given; combined with the effective cross-sectional area A of the damper, the theoretical air volume can be obtained. However, in the actual calibration platform, due to factors such as sensor installation errors, local losses in the pressure tapping structure, and flow field disturbances, the measured calibration air volume is affected. Compared with theoretical air volume There are systematic deviations between them. To simplify controller calculations and ensure engineering practicality, multiple sets of dynamic pressure differences are recorded through precise calibration in the fitted curve. With the corresponding rated air volume The functional relationship between them can be directly used to establish a mathematical model. As a basic mapping model, it allows for arbitrary input at runtime. The corresponding reference air volume can then be obtained. This improves real-time response and reliability. Reference airflow. This serves as the baseline input for subsequent environmental compensation, ensuring that the air volume calculation has a high starting point accuracy.
[0028] Exemplary, in one implementation, such as Figure 2 As shown, S101 includes the following sub-steps: S201, Perform factory calibration on the variable air volume valve under standard atmospheric conditions.
[0029] The aim is to eliminate interference from environmental variables such as temperature, humidity, and air pressure, ensuring that all calibration data are generated based on a unified physical benchmark, and obtaining dynamic pressure difference data with authoritative reference. With the corresponding rated air volume Dataset. Calibration was performed on a wind tunnel platform conforming to ISO 5167, AMCA 210, or GB / T 1236 standards, equipped with a standard flowmeter with an accuracy at least three times greater than that of the system being calibrated, to provide an authoritative true flow rate reference; the dynamic pressure difference across the Pitot tube or Venturi tube was measured using a zero-point calibrated differential pressure sensor. The environmental control system stabilizes the temperature inside the cavity at 20±0.5℃ and the relative humidity at 50±5%, keeping the air in a standard state. This ensures that all calibration data are generated based on a unified physical reference, meeting the accuracy requirements of Class 1 / 2 airflow measurement systems and providing a solid data foundation for subsequent field applications.
[0030] Understandably, the goal during calibration is to obtain the differential pressure-airflow characteristic curve of the airflow measurement section itself, rather than a composite response that includes the dynamic adjustment characteristics of the valve. Therefore, the blades must be fully opened and locked to allow unobstructed airflow, ensuring that the collected dynamic differential pressure ΔP signal purely reflects the wind speed change and avoiding additional errors introduced by fluctuations in the effective cross-sectional area A due to different opening degrees; thus ensuring the accuracy and universality of the basic mapping model.
[0031] S202 synchronously collects dynamic pressure difference signals and corresponding measured air volume data under multiple representative air volume conditions.
[0032] Based on the design airflow range of the valve under test, several test points are evenly selected in the low-flow, medium-flow, and high-flow zones. For example, if the airflow range is 100–5000 m³ / h, the low-flow zone is 100–500 m³ / h, the medium-flow zone is 500–2500 m³ / h, and the high-flow zone is 2500–5000 m³ / h. Eight to fifteen test points are evenly selected in each flow zone to cover the most frequently used operating conditions. After each test point is started, the system must be allowed to reach a steady state, i.e., the dynamic pressure difference of the calibrated component. and measured air volume The data set can only be recorded if the fluctuation range is less than ±0.5% and remains stable for more than 30 seconds; at the same time, environmental parameters including temperature, relative humidity and atmospheric pressure are collected for later quality traceability and model verification; these data together form the basis of nonlinear fitting, ensuring that the model can accurately reflect the real flow characteristics.
[0033] S203 uses a nonlinear fitting method to construct the mathematical function relationship between the dynamic pressure difference signal and the measured air volume data, thus obtaining the basic mapping model.
[0034] Multiple sets of dynamic pressure differences were collected using the least squares method. and measured air volume By performing polynomial fitting, the basic mapping model is obtained. .in, This is a nonlinear correction term for the high wind volume region, used to compensate for the drag deviation caused by the boundary layer separation effect due to the increase in Reynolds number; The main flow coefficient is close to the theoretical flow coefficient, but it incorporates engineering measurement factors such as sensor sensitivity and local loss at the pressure tapping location. This is the zero-point drift term, used to compensate for the differential pressure sensor's zero-point drift. The static bias voltage at that time. The basic mapping model can be stored in the controller Flash as a floating-point array.
[0035] Throughout the process, it can be observed that traditional variable air volume valves, lacking temperature and altitude compensation, typically default to the air density. The air volume was calculated based on the standard value of 1.225 kg / m³ under sea-level conditions at 20°C, but the actual air density... The air density will decrease as the ambient temperature rises and decrease significantly with increasing altitude. If this is not corrected, the mass flow rate carried by the same volume of air will drop drastically in high-altitude areas or extreme climates, leading to insufficient or excessive air supply, which in turn can cause uncontrolled room temperature and humidity, pressure imbalances, and even the risk of cross-infection. This application addresses this fundamental problem by proposing to increase the air density... The control precision is fundamentally improved by transforming constants into dynamic variables based on real-time environmental awareness.
[0036] S102 collects temperature and atmospheric pressure parameters in the current operating environment and generates a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters.
[0037] By sensing the thermodynamic state under actual conditions, the change ratio of the current air density relative to standard conditions is calculated. This transforms the fixed air density assumption in traditional variable air volume valves into a dynamic variable correction mechanism, and uses a compensation coefficient... The form of the reference air volume is applied to achieve a technological leap from volumetric flow rate to mass flow rate equivalent control, thereby improving the accuracy of air volume control.
[0038] Specifically, the thermodynamic temperature of the current operating environment is obtained. This is achieved by using a digital temperature sensor to collect the Celsius temperature of the airflow within the duct in real time, and then performing a unit conversion calculation to convert it to Kelvin thermodynamic temperature. This is used in subsequent calculations of the ideal gas law. Air density. The density is inversely proportional to absolute temperature; for every 10°C increase in temperature, the density decreases by approximately 3.4%. Without this correction, in high-temperature summer conditions, the measured airflow would be artificially inflated, leading to insufficient air delivery from the system. However, by introducing real-time... The value can accurately quantify the effect of temperature on density, providing a key input for the compensation coefficient K.
[0039] The system acquires the absolute atmospheric pressure of the current environment through a barometric pressure sensor, measuring it in real time. When no barometric pressure sensor is installed, the absolute atmospheric pressure is calculated based on the pre-stored altitude of the current location and an international standard atmospheric model, thus accommodating the needs of different product configurations. In high-end models, the equipment integrates a high-precision absolute atmospheric pressure sensor to directly measure the ambient absolute atmospheric pressure. The response frequency can reach over 1Hz, ensuring data real-time performance and reliability; while in the economy version without a barometric pressure sensor, the response frequency is based on the pre-stored altitude of the installation location. The calculations are performed using the international standard atmospheric ISA model. The system automatically activates the experimental mode when the hardware is available; otherwise, it switches to the formula calculation path, ensuring functional integrity while controlling costs.
[0040] Within the troposphere, the standard atmospheric model defined by the International Civil Aviation Organization (ICAO) divides the atmosphere into several gradient layers, the most commonly used being the troposphere extending from the Earth's surface to 11 km. In this region, temperature decreases linearly with altitude, satisfying the condition... ,in, Indicates altitude, Indicates the standard temperature at sea level. The temperature lapse rate is 0.0065 K / m; the corresponding relationship between atmospheric pressure and altitude is given by a power function expression: ,in, This represents the standard atmospheric pressure at sea level, taken as the standard value of 101325 Pa. This represents the standard sea-level temperature, taken as the standard value of 288.15K; A fixed value of 0.0065 K / m is used. The index 5.255876 is determined by gravitational acceleration, air molar mass, and adiabatic index. For example, at an altitude of 5000m, substituting into the formula yields Pabs≈54048Pa, corresponding to an air density of approximately 0.736 kg / m³, only about 60% of the standard state of 1.225 kg / m³, fully demonstrating the necessity of introducing a compensation mechanism in high-altitude environments.
[0041] Using sea level standard atmospheric pressure and standard temperature Based on the ideal gas law and according to the standard atmospheric pressure at sea level. Compared with standard temperature and thermodynamic temperature and absolute atmospheric pressure Calculate the compensation coefficient. Specifically, based on the ideal gas law. The mathematical relationship between air density ratio and compensation coefficient can be derived, and the formula for calculating the joint compensation coefficient K of temperature and altitude can be determined as follows: Specifically, And the air volume Q is proportional to V, therefore When the actual density When decreasing, the same The corresponding volumetric flow rate increases, but the mass flow rate decreases; to maintain the same mass flow rate, the volumetric flow rate needs to be increased. times, that is Therefore, it can be concluded that It is not an empirical factor, but rather a result of rigorous derivation from the fundamental laws of fluid mechanics.
[0042] Because atmospheric density decreases, a larger volumetric flow rate is required to maintain the same mass flow rate; this principle permeates the entire compensation logic. When temperature rises, molecular thermal motion intensifies, causing air to expand, leading to… Descending, at this time Increase As the value increases, the controller automatically increases the output airflow; when the altitude increases... Significantly reduced, also causing Descending, at this time Decrease also makes The system adjusts the valve opening accordingly as the pressure difference increases. These two factors work together to create a volume expansion effect in thin air environments; that is, under the same dynamic pressure difference, a larger volume of air must be delivered to achieve the same volumetric air delivery effect. This effectively solves the problem of insufficient air supply commonly found in traditional systems in high-altitude cities such as Lhasa and Kunming.
[0043] S103 measures the dynamic pressure difference in the duct, inputs the dynamic pressure difference into the basic mapping model to obtain the corresponding reference air volume, and uses the compensation coefficient to correct the reference air volume to obtain the actual air volume.
[0044] Real-time acquisition of dynamic pressure difference between the two ends of the air volume measurement section ,Will Input base mapping model In the middle, the corresponding reference air volume is calculated. This reference air volume The volumetric flow rate value was calibrated under standard air conditions and has not yet taken into account the influence of current ambient temperature and altitude variations; subsequently, a compensation coefficient determined by both temperature and air pressure was introduced. According to the formula ,right Dynamic corrections are made to obtain the actual air volume equivalent to the actual air mass flow rate. This ensures the system maintains consistency across climates and regions. When air density decreases due to high temperatures or altitudes, This indicates that the volumetric flow rate needs to be increased to maintain the same airflow quality; conversely, in low-temperature or low-altitude environments, the flow rate needs to be increased. If the output is reduced, the actual air supply capacity will always meet the design requirements for quality flow rate, regardless of whether the equipment is deployed on the Lhasa Plateau or the Shanghai coast.
[0045] S104 receives the target air volume and generates a deviation signal between the actual air volume and the target air volume.
[0046] Target air volume The target air volume can be calculated and generated in real time by the upper-level room residual air volume control system based on indoor pressure difference, temperature and humidity requirements, and exhaust linkage logic, and sent to the built-in controller of the variable air volume valve via protocol to form a complete control command flow; This represents the actual air volume required at present, while the actual air volume... This is the actual air supply feedback value of the variable air volume valve. Both are in m³ / h and are compared under the same physical benchmark, ensuring the effectiveness and comparability of the deviation analysis.
[0047] The controller continuously monitors the target airflow through the communication interface. Once a new set value is received, a deviation calculation process is triggered; deviation signal Positive numbers indicate insufficient air supply, while negative numbers indicate excessive air supply. This deviation signal not only reflects the magnitude of the instantaneous error but also retains directional information, providing a complete control basis for the PID algorithm. Furthermore, a data validity verification mechanism can be set up; if communication interruption leads to a decrease in the target air volume... If the timeout period expires and the value is not updated, the last valid value will be used and an alarm will be triggered to prevent erroneous actions.
[0048] S105 uses a feedback control algorithm to generate control commands based on the deviation signal, and adjusts the valve opening of the variable air volume valve according to the control commands.
[0049] A preset threshold can be set according to the actual application situation, when the deviation signal When the value is less than a preset threshold, the system is considered to be in a steady state, and the current valve opening is maintained to avoid mechanical wear and energy waste caused by frequent adjustments. When the deviation signal... When the deviation is not less than the preset threshold, the dynamic adjustment mode is activated. Based on the deviation signal, a PID control algorithm is used to calculate the control output. The control output is then converted into a control command and sent to the valve actuator to adjust the valve opening. The parameters of the PID control can be preset according to the type of variable air volume valve, or the parameter combination can be optimized online through a self-tuning program to improve adaptability.
[0050] Exemplary, the PID output is converted from digital to analog to generate a 0–10V analog voltage or a 4–20mA current signal, which is sent as a control command to the valve actuator to drive the blades to precisely adjust the opening. The actuator has a built-in position feedback potentiometer that sends the actual opening back to the controller, forming an inner-loop monitoring system. The entire process constitutes a complete closed-loop link of sensing, calculation, decision-making, execution, and re-sensing, ensuring the actual airflow. Approaching the target air volume indefinitely .
[0051] This real-time example significantly improves the dynamic response performance and long-term operational stability of the variable air volume (VAV) system. In harsh environments such as high altitudes or extreme temperatures, the airflow control error is drastically reduced from ±10%–15% in traditional systems to within ±3%, resulting in a significant improvement in control accuracy. Furthermore, the VAV valves are calibrated to mass flow rate before leaving the factory, eliminating the need for recalibration due to changes in altitude or climate conditions. This effectively simplifies the commissioning process and significantly reduces system installation, commissioning, and subsequent maintenance costs.
[0052] like Figure 3 As shown, based on the method of the above embodiments, this embodiment provides a variable air volume valve control system. Exemplarily, the variable air volume valve control system 100 includes: Establish module 110 to create a basic mapping model for converting dynamic pressure difference into reference air volume; The acquisition module 120 acquires the temperature and atmospheric pressure parameters of the current operating environment, and generates a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters. The correction module 130 measures the dynamic pressure difference in the duct, inputs the dynamic pressure difference into the basic mapping model to obtain the corresponding reference air volume, and uses the compensation coefficient to correct the reference air volume to obtain the actual air volume. The generation module 140 receives the target air volume and generates a deviation signal between the actual air volume and the target air volume; The adjustment module 150 uses a feedback control algorithm to generate control commands based on the deviation signal, and adjusts the valve opening of the variable air volume valve according to the control commands.
[0053] It is understood that the system in this embodiment corresponds to the control method in the above embodiments, and the options in the above embodiments are also applicable to this embodiment, so they will not be described again here.
[0054] This application also provides an electronic device, exemplary of which includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to enable the device to perform the functions of the various modules in the above-described variable air volume valve control method or the above-described variable air volume valve control system.
[0055] The processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application.
[0056] Memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), and Electrically Erasable Programmable Read-Only Memory (EEPROM). Memory is used to store computer programs, and the processor can execute these programs upon receiving execution instructions.
[0057] This application also provides a computer-readable storage medium for storing computer programs used in the aforementioned terminal devices. For example, the computer-readable storage medium may include, but is not limited to, various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0058] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that, in alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.
[0059] In addition, the functional modules or units in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0060] If the aforementioned functions are implemented as software functional modules 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 application, in essence, or the part that contributes to the prior art, or a part 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 smartphone, 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 application.
[0061] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.
Claims
1. A method for controlling a variable air volume valve, characterized in that, The method includes: Establish a basic mapping model for converting dynamic pressure difference into reference air volume; Collect temperature and atmospheric pressure parameters in the current operating environment, and generate a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters; The dynamic pressure difference in the duct is measured, and the dynamic pressure difference is input into the basic mapping model to obtain the corresponding reference air volume. The reference air volume is then corrected using the compensation coefficient to obtain the actual air volume. Receive the target air volume and generate a deviation signal between the actual air volume and the target air volume; A feedback control algorithm is used to generate control commands based on the deviation signal, and the valve opening of the variable air volume valve is adjusted according to the control commands.
2. The variable air volume valve control method according to claim 1, characterized in that, The establishment of the basic mapping model for converting dynamic pressure difference into reference air volume includes: The variable air volume valve is calibrated at the factory under standard atmospheric conditions. Dynamic pressure difference signals and corresponding measured air volume data are simultaneously collected under multiple representative air volume conditions. A mathematical function relationship between the dynamic pressure difference signal and the measured air volume data is constructed using a nonlinear fitting method to obtain the basic mapping model.
3. The variable air volume valve control method according to claim 1, characterized in that, The process of collecting temperature and atmospheric pressure parameters in the current operating environment and generating compensation coefficients reflecting differences in air density based on these parameters includes: Obtain the thermodynamic temperature of the current operating environment; Obtain the absolute atmospheric pressure of the current environment; Obtain the preset standard atmospheric pressure and standard temperature at sea level; Based on the ideal gas law, the compensation coefficient is calculated according to the standard atmospheric pressure at sea level, the standard temperature, the thermodynamic temperature, and the absolute atmospheric pressure.
4. The variable air volume valve control method according to claim 1, characterized in that, The step of correcting the reference air volume using the compensation coefficient to obtain the actual air volume includes: Measure the dynamic pressure difference within the air duct; The actual air volume is obtained by multiplying the reference air volume by the compensation coefficient.
5. The variable air volume valve control method according to claim 1, characterized in that, The step of using a feedback control algorithm to generate control commands based on the deviation signal, and adjusting the valve opening of the variable air volume valve according to the control commands, includes: When the deviation signal is less than a preset threshold, the current valve opening remains unchanged.
6. The variable air volume valve control method according to claim 1, characterized in that, The step of using a feedback control algorithm to generate control commands based on the deviation signal, and adjusting the valve opening of the variable air volume valve according to the control commands, includes: When the deviation signal is not less than a preset threshold, the control output is calculated using a PID control algorithm based on the deviation signal. The control output is converted into a control command and sent to the valve actuator to adjust the valve opening.
7. The variable air volume valve control method according to claim 3, characterized in that, The process of obtaining the absolute atmospheric pressure of the current environment includes: The absolute atmospheric pressure is measured in real time using a barometric pressure sensor. When the pressure sensor is not configured, the absolute atmospheric pressure is calculated based on the pre-stored current location altitude and the international standard atmospheric model.
8. A variable air volume valve control system, characterized in that, include: Establish a module to create a basic mapping model for converting dynamic pressure difference into reference air volume; The data acquisition module collects temperature and atmospheric pressure parameters in the current operating environment, and generates a compensation coefficient reflecting the difference in air density based on the temperature and atmospheric pressure parameters. The correction module measures the dynamic pressure difference in the duct, inputs the dynamic pressure difference into the basic mapping model to obtain the corresponding reference air volume, and uses the compensation coefficient to correct the reference air volume to obtain the actual air volume. The generation module receives the target air volume and generates a deviation signal between the actual air volume and the target air volume; The adjustment module uses a feedback control algorithm to generate control commands based on the deviation signal, and adjusts the valve opening of the variable air volume valve according to the control commands.
9. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the variable air volume valve control method according to any one of claims 1-7.
10. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is run by the processor, it executes the steps of the variable air volume valve control method according to any one of claims 1-7.