Natural wind control method and system for air supply and ventilation system

Abstract

The invention relates to the technical field of ventilation control, and particularly provides a natural wind control method and system for an air supply and exchange system. State parameters of the movable structure and second local airflow velocity parameters and first air quality parameters of all the areas are obtained; according to the second local airflow velocity parameter, the first air quality parameter and the state parameter, an actual flowing path and an air replacement requirement are obtained through analysis; an airflow guide strategy is generated according to all the first local airflow velocity parameters, all the first internal and external pressure difference parameters, the actual flowing path and all the air replacement requirements; the opening state of each external air inlet and the working state of the internal airflow guiding device are cooperatively adjusted according to the airflow guiding strategy; according to the method, the dynamic changes of the external wind field, the internal layout of the building and the air quality can be sensed in real time, and the air supply and ventilation system can be adaptively adjusted based on the dynamic change information.

Description

Technical Field

[0001] The present application relates to the field of ventilation control technology, and in particular to a natural wind control method and system for an air supply and ventilation system. Background Art

[0002] In modern multi-story commercial buildings, ventilation systems utilize controllable vents and environmental sensors to maximize the use of natural wind to achieve energy savings and improve indoor environmental quality. The system utilizes a central control unit to process data from indoor and outdoor sensors and, based on pre-set logic, adjust vents accordingly to achieve a preliminary balance between energy savings and comfort. Industry trends are moving toward more refined adaptive control to optimize the effective use of natural wind and indoor environmental management.

[0003] However, the transient variability of natural wind, such as frequent fluctuations in wind speed and direction, presents significant challenges in practical applications. When the system opens vents based on macroscopic wind conditions, shifts in wind direction can cause the windward side to rapidly become the leeward side, reducing airflow efficiency and even causing air backflow, resulting in significantly lower natural airflow than intended. Fluctuations in wind speed can lead to inadequate ventilation, preventing timely reduction of indoor pollutant concentrations. Alternatively, transient increases in wind speed can create localized "drafts" that cause discomfort and airflow noise. Furthermore, the complex geometry of the building and the surrounding environment create uneven local wind pressure distribution. Existing systems are unable to detect these differences, leading to uneven airflow across vents, with some areas underventilated and others overventilated. Furthermore, dynamic changes in the building's internal layout, such as partition movement or the opening and closing of doors and windows, alter airflow paths and resistance in real time. The system lacks the ability to detect these changes and cannot adaptively adjust its strategy. This results in inefficient air exchange in deep or obscured areas, resulting in low air renewal rates and pollutant accumulation, while also causing undesirable airflow at the air inlet. These factors limit the system's overall efficient utilization of natural ventilation and balanced optimization of the indoor environment in a complex dynamic environment. There is no effective technical solution to the above problems. It should be noted that the above information disclosed in this section is only used to understand the background of the present invention, and therefore may contain information that does not constitute prior art. Summary of the Invention

[0004] The purpose of this application is to provide a natural wind control method and system for an air supply and ventilation system, which can sense the dynamic changes of the external wind field, the internal layout of the building and the air quality in real time and adaptively adjust the air supply and ventilation system based on the information of these dynamic changes.

[0005] In a first aspect, the present application provides a method for controlling natural wind in an air supply and ventilation system, comprising the following steps: S1. Obtain a first local airflow velocity parameter and a first internal-external pressure difference parameter for each external air inlet, and obtain a state parameter of a movable structure inside the building, as well as a second local airflow velocity parameter and a first air quality parameter for each area inside the building; S2. Analyze and obtain the actual flow path of the natural wind and the air replacement requirements of each area based on the second local airflow velocity parameter, the first air quality parameter, and the state parameter; S3, generating an airflow guidance strategy according to all first local airflow velocity parameters, all first internal and external pressure difference parameters, the actual flow path, and all air replacement requirements; S4. Coordinately adjust the opening state of each external air inlet and the working state of the internal air flow guiding device according to the air flow guiding strategy.

[0006] In a second aspect, the present application further provides a natural wind control system for an air supply and ventilation system, which includes: a parameter acquisition module, configured to acquire a first local airflow velocity parameter and a first internal-external pressure difference parameter of each external air inlet, and acquire a state parameter of a movable structure inside the building, as well as a second local airflow velocity parameter and a first air quality parameter of each area inside the building; an air replacement demand acquisition module, configured to analyze and acquire the actual flow path of the natural wind and the air replacement demand of each area based on the second local airflow velocity parameter, the first air quality parameter, and the state parameter; a strategy generating module, configured to generate an airflow guiding strategy according to all first local airflow velocity parameters, all first internal and external pressure difference parameters, an actual flow path, and all air replacement requirements; The strategy execution module is used to coordinately adjust the opening state of each external air inlet and the working state of the internal air flow guiding device according to the air flow guiding strategy.

[0007] From the above, it can be seen that the present application provides a natural wind control method and system for an air supply and ventilation system, which obtains the actual flow path of natural wind inside the building and the air replacement requirements of each area by utilizing parameter analysis of different dimensions, and based on this information, coordinates the opening status of each external air inlet and the working status of the internal air flow guiding device to achieve real-time perception of the dynamic changes of the external wind field, the internal layout of the building and the air quality, and adaptively adjusts the air supply and ventilation system based on the information of these dynamic changes. Therefore, the present application can effectively solve the problems of reduced air flow introduction efficiency or even air backflow due to changes in wind direction, as well as insufficient ventilation or local "through-the-hallway" effects due to wind speed fluctuations. In addition, the present application also copes with the uneven local wind pressure distribution, improves the air exchange efficiency in deep or shielded areas, and reduces pollutant accumulation by balancing the air volume of each ventilation outlet, thereby achieving overall efficient utilization of natural ventilation and balanced optimization of the indoor environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 This is a flow chart of a natural wind control method for an air supply and ventilation system provided in an embodiment of the present application.

[0009] Figure 2 A schematic structural diagram of a natural wind control system for an air supply and ventilation system provided in an embodiment of the present application.

[0010] Figure numerals: 1. parameter acquisition module; 2. air replacement demand acquisition module; 3. strategy generation module; 4. strategy execution module. DETAILED DESCRIPTION

[0011] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work fall within the scope of protection of the present application.

[0012] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0013] First, as Figure 1 As shown, the present application provides a natural wind control method for an air supply and ventilation system, which includes the following steps: S1. Obtain a first local airflow velocity parameter and a first internal-external pressure difference parameter for each external air inlet, and obtain a state parameter of a movable structure inside the building, as well as a second local airflow velocity parameter and a first air quality parameter for each area inside the building; S2. Analyze and obtain the actual flow path of the natural wind and the air replacement requirements of each area based on the second local airflow velocity parameter, the first air quality parameter, and the state parameter; S3, generating an airflow guidance strategy according to all first local airflow velocity parameters, all first internal and external pressure difference parameters, the actual flow path, and all air replacement requirements; S4. Coordinately adjust the opening state of each external air inlet and the working state of the internal air flow guiding device according to the air flow guiding strategy.

[0014] The first local airflow velocity parameter and the first internal-external pressure difference parameter of step S1 refer to real-time data reflecting the airflow velocity and the internal-external pressure difference at a specific external air inlet position. This embodiment can use a wind speed sensor (such as a hot wire anemometer or a Pitot tube) installed near the external air inlet to obtain the first local airflow velocity parameter. This embodiment can use a pressure difference sensor installed near the external air inlet to obtain the first internal-external pressure difference parameter. Specifically, the two ends of the pressure difference sensor are respectively located outside and inside the external air inlet. Step S1 obtains the precise local air intake conditions of the external air inlet by obtaining the first local airflow velocity parameter and the first internal-external pressure difference parameter to evaluate the air intake potential of the external air inlet. The state parameters of the movable structures inside the building in step S1 refer to the current position or open / closed state of the structures inside the building (such as doors, windows, partitions, and furniture) that can change the airflow path. This embodiment can use visual recognition technology, position sensors (such as Hall sensors, photoelectric sensors), switch sensors, or RFID tags to obtain the state parameters of the movable structures inside the building. For example, switch sensors installed on doors and windows are used to obtain their opening angle or closed state, and an encoder or a visual recognition system at the bottom of the movable partition is used to determine the current position of the movable partition. The second local airflow velocity parameters and first air quality parameters of each area inside the building in step S1 refer to real-time data reflecting the airflow conditions (e.g., airflow velocity) and air quality (e.g., carbon dioxide concentration) in different areas inside the building (e.g., offices, conference rooms, corridors, etc.). This embodiment can utilize distributed wind speed sensors and air quality sensors (wind speed sensors and air quality sensors distributed in different areas inside the building) to obtain the second local airflow velocity parameters and first air quality parameters of each area inside the building. This embodiment can understand the air flow conditions in different areas inside the building by obtaining the second local airflow velocity parameters. This embodiment can evaluate the air freshness and pollutant levels in different areas inside the building by obtaining the first air quality parameters.

[0015] The actual flow path of the natural wind in step S2 refers to the actual flow trajectory and distribution of the natural wind within the building, as affected by the structure and obstacles. Step S2 can obtain the actual flow path of the natural wind by analyzing the second local airflow velocity parameter and the state parameter. Specifically, the specific process for obtaining the actual flow path of the natural wind in step S2 can be: determining the airflow channel and obstacle distribution within the building based on the state parameters of the movable structure within the building; and combining the second local airflow velocity parameter with the airflow channel and obstacle distribution to infer the flow path of the natural wind within the building. For example, if the airflow velocity within a certain channel is high and the direction is stable, it indicates that the channel is the main flow path of the natural wind. The air replacement demand of each area in step S2 refers to the degree of fresh air demand in different areas within the building. Step S2 can obtain the air replacement demand by analyzing the first air quality parameter and the second local airflow velocity parameter. For example, if the carbon dioxide concentration in a certain area is high and the airflow velocity is low, the air replacement demand in that area is high. If the carbon dioxide concentration in a certain area is low and the airflow velocity is high, the air replacement demand in that area is low.

[0016] The airflow guidance strategy in step S3 refers to a control scheme that directs the coordinated operation of the external air inlets and the internal guidance devices. Step S3 can be implemented by utilizing an optimization algorithm (e.g., a rule-based expert system, fuzzy logic control, or a machine learning model) to comprehensively consider the potential air intake capacity of the external air inlets (determined by the first local airflow velocity parameter and the first internal-external pressure differential parameter), the actual flow path of the internal airflow, and the air replacement requirements of each zone, thereby calculating the optimal external air inlet opening state (e.g., opening angle, number of openings) and the operating state (e.g., speed, angle) of the internal airflow guidance devices (e.g., deflectors, auxiliary fans). This is achieved by generating an airflow guidance strategy based on all first local airflow velocity parameters, all first internal-external pressure differential parameters, the actual flow path, and all air replacement requirements. For example, if an external air inlet has high air velocity and large pressure differential, and the corresponding internal zone has a high air replacement requirement, the airflow guidance strategy may prioritize opening that external air inlet and adjusting the internal deflectors to direct airflow to the target zone (the zone with the high air replacement requirement).

[0017] Step S4 can achieve linked control of the external air intake volume, internal airflow direction, and internal airflow speed by collaboratively adjusting the opening state of each external air inlet and the operating state of the internal airflow guiding device according to the airflow guiding strategy. This embodiment can adjust the external air intake volume by controlling the opening degree of the external window or damper, and this embodiment can adjust the internal airflow direction and internal airflow speed by controlling the angle or speed of the internal fan or deflector. This embodiment can ensure that natural wind can flow within the building according to the preset path and intensity by collaboratively adjusting the opening state of each external air inlet and the operating state of the internal airflow guiding device according to the airflow guiding strategy, thereby avoiding local problems that may be caused by single control.

[0018] The core innovation of this application lies in that by using parameters of different dimensions (first local airflow velocity parameter, first internal and external pressure difference parameter, state parameter, second local airflow velocity parameter and first air quality parameter) to analyze the actual flow path of natural wind inside the building and the air replacement needs of each area, and based on this information, the opening state of each external air inlet and the working state of the internal airflow guiding device are coordinated to achieve real-time perception of the dynamic changes of the external wind field, the internal layout of the building and the air quality, and adaptive adjustment of the air supply and ventilation system based on these dynamic changes. Therefore, this application can effectively solve the problems of reduced airflow introduction efficiency or even air backflow due to changes in wind direction, and insufficient ventilation or local "through-the-hallway" effect caused by wind speed fluctuations. In addition, this application also addresses the uneven local wind pressure distribution by balancing the air volume of each ventilation outlet, improving the air exchange efficiency in deep or shielded areas, and reducing pollutant accumulation, thereby achieving overall efficient utilization of natural ventilation and balanced optimization of the indoor environment.

[0019] Specifically, the method operates according to the following steps: First, a first local airflow velocity parameter and a first internal-external pressure differential parameter are obtained at the external air inlet. The first local airflow velocity and the first internal-external pressure differential parameters reflect the instantaneous changes in the external wind field and the potential for each air inlet to introduce natural wind. Simultaneously, the state parameters of the movable structure within the building, as well as the second local airflow velocity and first air quality parameters of each internal area, are obtained. The state parameters, the second local airflow velocity, and the first air quality parameters provide real-time information on the building's internal layout, airflow distribution, and air quality. Through this multi-dimensional data collection that takes both internal and external factors into account, the system can comprehensively and accurately perceive the dynamic changes in the external wind field, internal layout, and air quality, laying the foundation for subsequent intelligent decision-making and resolving the problem that existing systems are unable to perceive changes in internal layout and localized wind pressure unevenness. Next, based on the second local airflow velocity parameter, the first air quality parameter, and the state parameter, an in-depth analysis is conducted on the actual flow path of natural wind within the building and the air replacement requirements of each area. By incorporating the state parameters of the movable structure, the system can dynamically identify the current airflow path and obstacle distribution, thereby accurately depicting the actual flow trajectory of natural wind in complex interior spaces. This addresses the issue of unclear airflow paths caused by existing systems' inability to adapt to dynamic changes in internal layouts. Simultaneously, the system evaluates and determines the specific air replacement requirements for each area based on the first air quality parameter and actual airflow velocity (second local airflow velocity parameter) in each area, ensuring targeted and effective ventilation and avoiding issues such as insufficient or excessive ventilation. An airflow guidance strategy is then generated based on all acquired external local airflow velocity parameters, all internal and external pressure differential parameters, the analyzed actual flow path, and all air replacement requirements. Because this embodiment comprehensively considers the availability of external natural wind, its actual flow pattern within the building, and the ventilation requirements of each area when generating the airflow guidance strategy, the airflow guidance strategy of this embodiment achieves balanced overall airflow distribution and efficient replacement, effectively addressing the challenges of uneven local wind pressure distribution and uneven air volume. Finally, according to the generated airflow guidance strategy, the opening status of each external air inlet and the working status of the internal airflow guidance device are coordinated to adjust the external air intake volume and the direction of the internal airflow according to the airflow guidance strategy, and to effectively transport the natural wind to the areas where air quality needs to be improved or ventilation efficiency needs to be increased, so as to overcome the obstacles caused by changes in the internal layout and achieve refined control of natural wind and optimal distribution within the building.

[0020] As a preferred embodiment, the solution of this application is specifically implemented as follows: On an office floor, anemometers and differential pressure sensors are installed near each openable window to obtain local air velocity parameters and internal / external pressure differential parameters at the exterior air inlet. State sensors are installed on doors and movable partitions to obtain state parameters of the movable structures within the building. Air velocity sensors, carbon dioxide sensors, and volatile organic compound sensors are installed in various areas, such as office areas, conference rooms, and corridors, to obtain local air velocity parameters and air quality parameters within each area of ​​the building. A central control system receives all sensor data. This control system constructs a model of the current interior space based on the status of doors, windows, and partitions to identify open and closed areas and possible airflow paths. For example, if an office door is closed, the system identifies it as an airflow obstruction. Fluid dynamics simulations or machine learning models based on historical data then analyze the actual natural wind flow path under the current layout based on this identification and internal air velocity data. For example, if external wind enters through the east windows, the system simulates how it will flow through the open office area and potentially be diverted to the corridor by partitions. At the same time, the air quality of each area is assessed based on carbon dioxide and volatile organic compound concentrations. The air replacement efficiency is evaluated based on the actual flow path and airflow velocity, generating the required air replacement demand for each area. For example, if an office has low airflow and poor air quality, its air replacement demand is determined to be high. The control system then generates an airflow guidance strategy by comprehensively considering each window's air intake potential (determined by its first local airflow velocity and first internal-external pressure differential), the actual flow path of natural wind, and the air replacement demand of each area. For example, if the external wind speed and pressure differential outside the east windows are high, and the air replacement demand between the open office area and the adjacent office is high, the system will generate a strategy: open all east windows to 45 degrees and activate the adjustable deflectors in the open office area, adjusting their angle to 30 degrees to guide airflow to the deeper areas. For areas with better air quality, their windows may remain closed or slightly tilted. Finally, the control system sends an open or close or opening instruction to the window's electric actuator, and an adjustment instruction to the internal damper actuator or fan controller to achieve coordinated control of external air intake and internal guidance. This coordinated action ensures that natural wind can be effectively introduced and guided to areas that need fresh air, avoiding local "drafts" or insufficient ventilation problems, and achieving balanced distribution and efficient replacement of airflow throughout the entire floor.The present application can perceive and respond to instantaneous changes in natural wind and dynamic changes in the internal layout of the building and air quality in real time, that is, the present application can more accurately evaluate the external air intake potential to avoid invalid opening or air backflow. The present application can also understand the actual flow of natural wind in a complex internal environment to identify ventilation dead corners. The present application can also determine the air replacement needs based on the actual air quality and ventilation efficiency of each area to avoid excessive or insufficient ventilation. The present application can effectively deliver natural wind to areas that need improvement by coordinated adjustment of external air intake and internal guidance to improve the overall utilization efficiency of natural wind, thereby achieving a balanced distribution of indoor environmental air quality and improvement of people's physical sensation, while achieving energy saving purposes.

[0021] In some preferred embodiments, the first air quality parameter includes carbon dioxide concentration and volatile organic compound concentration, and the state parameters include the door and window status, the position of movable partitions, and the location of movable furniture. Carbon dioxide concentration refers to the amount of carbon dioxide per unit volume of air and is an important indicator of the accumulation of metabolites generated by human activity indoors. Volatile organic compound concentration refers to the total amount or specific amount of various volatile organic compounds in the air and is an important indicator of the level of chemical pollutants released by building materials, furniture, and other items. Door and window status refers to the open or closed status of a building's external air inlets or internal connecting passages (such as interior doors). The position of movable partitions refers to the current spatial coordinates or area information of non-fixed structures used to divide a building's interior space (such as movable screens or folding doors). The position of movable furniture refers to the current spatial coordinates or area information of movable items within the building (such as tables, chairs, and cabinets). This solution enables a more accurate assessment of indoor air pollution by obtaining the first air quality parameter that includes carbon dioxide concentration and volatile organic compound concentration, thereby improving the comprehensiveness of air quality assessment. This solution can perceive the dynamic changes in a building's interior layout in real time by acquiring state parameters, including the open and closed status of doors and windows, the position of movable partitions, and the location of movable furniture. This improves the accuracy of the perception of airflow paths and obstacle distribution. These more accurate and comprehensive input parameters make subsequent analysis of the actual flow path of natural wind and the air replacement needs of each area more reliable, providing a solid foundation for developing more effective and refined airflow guidance strategies, helping to achieve a balanced and optimized indoor environment.

[0022] In some preferred embodiments, step S2 includes: S21. Determine the airflow channel and obstacle distribution inside the building based on the state parameters, and then determine the airflow direction and velocity distribution based on all second local airflow velocity parameters, the airflow channel, and the obstacle distribution to obtain the actual flow path of the natural wind; S22. For each area inside the building, evaluate the air quality status of the area according to the first air quality parameter, evaluate the air replacement efficiency of the area according to the actual flow path and the second local air flow velocity parameter, and then determine the air replacement demand based on the air quality status and the air replacement efficiency.

[0023] Since state parameters can reflect the connectivity and obstruction of a building's interior space, such as the open and closed status of doors and windows or the position of movable partitions, this embodiment can construct or update a spatial model of the building's interior based on the state parameters. The connected portions of the spatial model are identified as airflow channels, and the obstructed portions of the spatial model are identified as obstacles. Therefore, this embodiment can determine the airflow channels and obstacle distribution within the building based on the state parameters. This embodiment can determine the airflow direction and velocity distribution based on all second local airflow velocity parameters, airflow channels, and obstacle distribution by utilizing a fluid dynamics model or fluid dynamics simulation algorithm in combination with the airflow channels, obstacle distribution, and actual airflow velocity parameters of each area within the building to analyze the specific flow direction and velocity distribution of natural wind under the current interior layout. This embodiment can determine the air quality condition by analyzing the quality parameter range corresponding to the first air quality parameter. For example, the carbon dioxide concentration range corresponding to a high quality condition is 0-1.5%, the carbon dioxide concentration range corresponding to a medium quality condition is 1.5%-2.5%, and the carbon dioxide concentration range corresponding to a low quality condition is >2.5%. If the first air quality parameter is a carbon dioxide concentration of 1.6, the air quality condition is medium. Because the actual flow path describes how natural wind flows through the area, and the second local airflow velocity parameter reflects the level of airflow activity within the area, this embodiment can evaluate the efficiency with which the air in the area can be replaced by fresh air from outside under current natural ventilation conditions based on the actual flow path and the second local airflow velocity parameter. Determining the air replacement demand based on the air quality status and air replacement efficiency is a process of dynamically determining whether ventilation is required in the area and the urgency of the need by comprehensively considering the air quality status and the current air replacement efficiency. When the air quality in an area is poor and the replacement efficiency is low, its air replacement demand is determined to be high.

[0024] The analysis process of this solution is divided into two sub-steps. The first sub-step focuses on determining the actual flow path of natural wind within the building. The system dynamically senses changes in the building's internal layout based on state parameters and determines the current airflow path and obstacle distribution accordingly. Based on this, the system combines actual air velocity parameters collected in each area of ​​the building to more accurately analyze and calculate the specific flow direction and velocity distribution of natural wind under the current internal layout. This results in a more accurate and realistic natural wind flow path than one generated based solely on the static internal structure. The second sub-step focuses on determining the air replacement needs of each area within the building. For each area within the building, the system objectively assesses the current air quality status of that area based on the first air quality parameter. Furthermore, based on the actual flow path and actual air velocity parameters obtained in the previous step, the system estimates the efficiency of air replacement by fresh air in that area under current natural ventilation conditions. Finally, the system comprehensively considers the air quality status and current air replacement efficiency of each area to dynamically and differentiate the actual air replacement needs of that area. This dynamic assessment based on actual air quality and current replacement efficiency more accurately determines the true and differentiated air replacement needs of each area. Through the synergistic effect of the above two sub-steps, the system can dynamically perceive changes in the internal building environment and accurately depict the airflow path, and finely evaluate the ventilation needs of each area based on actual conditions, which lays the foundation for the subsequent generation of more effective and adaptive airflow guidance strategies.

[0025] As a preferred embodiment, the system can maintain a digital model of the interior of a building and update the layout information in the model in real time based on the state parameters, thereby determining the airflow channels and obstacles. This embodiment can obtain the actual airflow velocity parameters obtained by wind speed sensors deployed in various areas inside the building and input the updated building interior model into a computational fluid dynamics simulation program or a prediction model based on machine learning to calculate or predict the airflow direction and velocity distribution inside the building to obtain the actual flow path. The process of air quality assessment can be: using CO2 and VOCs sensors deployed in each area to obtain the first air quality parameters, and comparing these parameters with the preset air quality standards to determine the air quality status of the area. The process of air replacement efficiency evaluation can be: analyzing whether the airflow effectively covers the area based on the actual flow path, and combining the actual airflow velocity parameters measured in the area to calculate an indicator reflecting the air renewal capacity. The determination of the air replacement demand can be accomplished by referring to a preset rule table or executing a decision algorithm based on the air quality status and the air replacement efficiency. For example, the rule table is: when the air quality of an area is poor and the replacement efficiency is low, its air replacement demand is determined to be high; when the air quality of an area is poor and the replacement efficiency is high, its air replacement demand is determined to be medium; when the air quality of an area is good and the replacement efficiency is low, its air replacement demand is determined to be medium; when the air quality of an area is good and the replacement efficiency is high, its air replacement demand is determined to be low.

[0026] In some preferred embodiments, step S22 includes: S221. For each area inside the building, evaluate the air quality of the area according to the first air quality parameter, and evaluate the air replacement efficiency of the area according to the actual flow path and the second local air flow velocity parameter; S222. For each area inside the building, obtain the functional type, real-time occupant density, and real-time heat load parameters of the area; S223. For each area inside the building, determine the air replacement demand based on air quality conditions, air replacement efficiency, functional type, real-time occupant density, and real-time heat load parameters.

[0027] Functional type refers to the preset or current usage nature of an area inside a building. This embodiment can obtain the functional type of an area by reading from a building information model, querying from a preset configuration database, or inputting through a user interface. Real-time population density refers to the number of people present in a specific area at the current moment or the density of their distribution. This embodiment can obtain the real-time population density of an area by methods such as infrared sensor-based population counting, camera image analysis, Wi-Fi or Bluetooth signal strength positioning, or combining access control system data. Real-time heat load parameters refer to the total amount of heat generated in a specific area at the current moment due to factors such as human activities, equipment operation, and lighting. This embodiment can obtain real-time heat load parameters by estimating based on factors such as human density, equipment power, and lighting status, or by collecting data through temperature sensors and heat flow sensors.

[0028] Based on the evaluation of regional air quality and air replacement efficiency, this solution further obtains and comprehensively considers the functional type, real-time occupant density, and real-time heat load parameters of the region to determine the air replacement needs of each region more comprehensively and accurately. Specifically, first, the air quality of the region is evaluated based on the first air quality parameter, and the air replacement efficiency is evaluated based on the actual flow path of the natural wind and the second local airflow velocity parameter in the region, which provides basic information on the current air condition of the region. At the same time, the functional type, real-time density of occupants, and real-time heat load parameters of the region are obtained. These parameters reflect the nature of use of the region, the intensity of occupant activity, and the heat generation. These parameters are key dynamic factors affecting the actual ventilation needs of the region. Then, when determining the air replacement needs, the air quality status, air replacement efficiency, functional type, real-time occupant density, and real-time heat load parameters are taken into consideration. This embodiment can more accurately determine how much fresh air replacement the region actually needs by comprehensively analyzing these multi-dimensional information. For example, even if air quality temporarily meets standards in a crowded conference room with a high heat load, the air exchange demand in that area will be set high to prevent pollutant accumulation and maintain a comfortable temperature. Conversely, even if air quality in an unoccupied area is slightly poor, the air exchange demand in that area will be set low. This comprehensive consideration ensures that the determined air exchange demand is more realistic, providing a more reliable basis for the subsequent generation of optimized airflow guidance strategies. This strategy enables more effective utilization of natural wind, avoiding under- or over-ventilation, and ultimately improving overall energy savings and comfort.

[0029] In a specific implementation scenario, consider a specific area inside a building, such as a conference room. First, the system evaluates the current air quality condition of the area based on the readings of the first air quality sensor (such as a carbon dioxide sensor and a volatile organic compound sensor) deployed in the conference room, for example, the air quality condition is medium. At the same time, the air replacement efficiency of the conference room is evaluated in combination with the actual flow path of natural wind determined by other sensors or simulations and the second local airflow velocity parameter in the area, for example, the air replacement efficiency is medium. On this basis, the system obtains the functional type information of the area by reading from the building database that the current area is defined as a conference room. The system obtains the current real-time occupant density of the conference room through people counting sensors or camera analysis, for example, the real-time occupant density is high. The system estimates the real-time heat load parameters of the area based on the lighting status, equipment operation status, etc., for example, the real-time heat load parameters are high. Finally, the system determines the control replacement demand based on a preset logical rule or algorithm model, taking into account the medium air quality, medium air replacement efficiency, the functional type of the conference room, high occupancy density, and high real-time heat load parameters. For example, the rule is set as follows: for a conference room, when the occupancy density is high, the air replacement demand is increased to a high level regardless of the air quality and replacement efficiency. Therefore, the air replacement demand of the conference room is ultimately determined to be high. This allows the system to identify the potential high demand caused by the gathering of people and the operation of equipment even when the air quality temporarily meets the standard, thereby avoiding insufficient ventilation. This embodiment can more comprehensively and accurately determine the air replacement demand of each area within the building by further obtaining and comprehensively considering factors such as the functional type of the area, real-time occupancy density, and real-time heat load on the basis of evaluating air quality and replacement efficiency, thereby providing a reliable basis for the subsequent generation of more effective and more dynamically adaptable airflow guidance strategies, thereby helping to improve the utilization efficiency of natural wind and the overall management level of the indoor environment.

[0030] In some preferred embodiments, step S223 includes: A1. For each area within the building, determine the initial air replacement requirements based on air quality, air replacement efficiency, functional type, real-time occupancy density, and real-time heat load parameters. A2. For each area within the building, obtain preset personalized comfort preference parameters or real-time comfort feedback parameters for occupants in that area. Personalized comfort preference parameters include user preference ranges for airflow velocity, air quality, and perceived temperature. Real-time comfort feedback parameters include the user's real-time perception of current airflow velocity, current air quality, and current perceived temperature. A3. For each area inside the building, the preliminary air replacement demand is adjusted according to the preset personalized comfort preference parameters or the real-time comfort feedback parameters to obtain the air replacement demand.

[0031] Preset personalized comfort preference parameters refer to a set of technical parameters that are pre-set by users in the system or application and reflect their subjective expectations of indoor environmental comfort. They can be obtained and stored through user profiles, regional attribute settings, or smart terminal application input. Real-time comfort feedback parameters refer to a set of technical parameters that reflect the user's current actual feelings about indoor environmental comfort, expressed directly or indirectly through the human-computer interaction interface or sensing devices during use. They can be obtained through manual user input, emotion recognition, physiological signal monitoring, or environmental sensing device data analysis. Air replacement demand refers to the air exchange volume or ventilation intensity indicator that is ultimately used to guide the airflow guidance strategy after adjustment based on objective environmental factors and user subjective comfort information. It is the target value determined by the system after comprehensively balancing environmental requirements and user experience.

[0032] This solution leverages user subjective comfort information to fine-tune the air exchange requirements determined based on objective environmental and usage scenarios, ensuring that the final air exchange requirements better align with users' actual experiences and enhance comfort. Specifically, a preliminary air exchange requirement is first determined for each area within the building based on objective parameters such as air quality, air exchange efficiency, functional type, real-time occupancy density, and real-time heat load. This ensures that the basic ventilation volume is a reasonable assessment of the environment and usage. Furthermore, for each area, preset personalized comfort preference parameters or real-time comfort feedback parameters are obtained for the occupants, enabling the system to promptly perceive the users' current actual experience. This subjective information overcomes the shortcomings of relying solely on objective parameters. Finally, the preliminary air exchange requirements are adjusted based on the obtained preset personalized comfort preference parameters or real-time comfort feedback parameters. This adjustment process ensures that the final air exchange requirements not only meet basic environmental and usage requirements but also take into account the users' personalized needs and real-time experiences. This more accurately guides subsequent airflow guidance strategies and effectively addresses the problem of objective parameters alone failing to fully meet users' personalized comfort needs, thereby improving the user experience. Based on the actual flow path of natural wind and the air replacement needs of each area, this solution further adjusts the air replacement needs based on the user's subjective comfort information, making the final determined needs more refined and personalized, thereby generating a strategy that better meets actual needs and improves the overall control effect.

[0033] In one embodiment, for a specific area within a building, the system first calculates a preliminary air exchange requirement based on the area's current carbon dioxide concentration, volatile organic compound concentration, air exchange efficiency determined through airflow path analysis, the area's functional type, real-time occupancy density, and real-time heat load. This preliminary air exchange requirement is X cubic meters of air exchange per hour. The system then obtains comfort information for occupants in the area based on user preferences preset in a mobile app (e.g., a user sets a preferred air velocity range of 0.1-0.3 m / s, a preferred air quality level of excellent, and a preferred perceived temperature range of 24-26°C) or real-time feedback submitted by the user through the app (e.g., a user reports feeling a bit stuffy or "the wind speed is too slow"). The system then adjusts the preliminary air exchange requirement based on these preset preferences or real-time feedback. For example, if a user reports feeling stuffy, the system may increase the preliminary air exchange requirement by a percentage or a fixed value. If the user's preset preferences require higher air quality, the system may increase the air intake volume of the preliminary air exchange requirement without exceeding the user's upper limits for air velocity or perceived temperature.

[0034] In some preferred embodiments, step S3 includes: S31. For each external air inlet, determine the air intake efficiency of the external air inlet according to a first local airflow velocity parameter and a first internal-external pressure difference parameter; S32. Generate an airflow guidance strategy based on the air intake efficiency of each external air inlet, the actual flow path, and all air replacement requirements.

[0035] Air intake efficiency refers to a quantitative indicator of the ability of an external air inlet to actually introduce airflow under the current external wind conditions and internal pressure environment. This embodiment can use a model constructed based on measured data, a table lookup method or an empirical formula to determine the air intake efficiency of the external air inlet according to the first local airflow velocity parameter and the first internal and external pressure difference parameter. This embodiment improves the accuracy and effectiveness of the airflow guidance strategy by introducing the concept of air intake efficiency and using it as a key input for generating an airflow guidance strategy. Specifically, first, for each external air inlet of a building, the system determines the current air intake efficiency of the air inlet according to the first local airflow velocity parameter and the first internal and external pressure difference parameter obtained in real time by calculating using a preset formula or querying a preset database. The air intake efficiency value reflects the actual airflow introduction capability of the air inlet under the current external wind field and internal pressure distribution. The system then generates a final airflow guidance strategy using the calculated air intake efficiency of each external air inlet, combined with the actual natural wind flow path obtained through analysis and the air replacement needs of each area within the building. When generating the strategy, the system can prioritize the use of air inlets with high air intake efficiency, or specifically adjust the opening level of associated air inlets with high air intake efficiency based on the air replacement needs of different areas, and coordinate the working status of internal airflow guidance devices to maximize the effective introduction of natural wind and guide airflow to the areas most in need. This strategy generation method based on actual air intake capacity, overall airflow path, and regional needs can more accurately evaluate and utilize the potential of each air inlet, making the generated airflow guidance strategy more targeted and executable, and able to more finely adapt to the dynamic changes in external wind conditions and the internal environment, thereby more effectively utilizing natural wind for ventilation and effectively solving the problem of difficulty in accurately evaluating air intake capacity based on raw parameters and the lack of precision in the strategy, thereby effectively improving the efficiency of natural wind utilization and the balance of the indoor environment.

[0036] In one embodiment, step S31 can be specifically implemented as follows: for each external air inlet, the system consults a pre-established air intake efficiency lookup table based on the first local air flow velocity parameter and the first internal and external pressure difference parameter obtained in real time to obtain the corresponding air intake efficiency. The lookup table can be constructed based on actual test data or fluid dynamics simulation results under different speed and pressure difference combinations. The table records the corresponding air intake efficiency values ​​within a specific speed and pressure difference range. Step S32 can be specifically implemented as follows: the system obtains a list of air intake efficiencies of all external air inlets, actual natural wind flow path data, and a list of air replacement requirements for each area; the system runs an optimization algorithm that aims to maximize the satisfaction of air replacement requirements while taking into account the air intake efficiency of each air inlet and the ability of airflow to reach each area along the actual path. Specifically, the algorithm sorts or weights the air inlets according to their air intake efficiency to give priority to air inlets with high opening efficiency. At the same time, based on the actual flow path, it determines which air inlets can effectively serve the areas requiring air replacement after opening. The result output by the algorithm is the airflow guidance strategy, which includes the specific opening angle or area of ​​each external air inlet and adjustment instructions for internal airflow guidance devices (such as air valves and guide plates). For example, if the air replacement demand in a certain area is high and an external air inlet associated with it currently has a high air intake efficiency and is located on a favorable actual flow path, the strategy may instruct the air inlet to open significantly and adjust the internal guidance device to guide the airflow to that area.

[0037] In some preferred embodiments, step S32 includes: S321. Generate a preliminary guidance strategy based on the air intake efficiency of each external air inlet, the actual flow path, and all air replacement requirements. The preliminary guidance strategy includes the opening status of each external air inlet and the working status of the internal air flow guidance device. S322. For each area inside the building, determine the noise sensitivity of the area to ventilation noise based on its functional type, current activity mode, and current time period. Then, adjust the opening state of the external air inlet and the operating state of the internal airflow guidance device associated with the area based on the noise sensitivity to obtain an airflow guidance strategy.

[0038] Noise sensitivity refers to the tolerance of an area within a building to noise generated by ventilation, which can be determined based on factors such as the area's functional type, current activity mode, and current time period. Current activity mode refers to the current state of activity within the building's interior, which may include but is not limited to work, meetings, rest, and transit. Current time period refers to a specific time range within a day, which may include but is not limited to daytime, nighttime, working hours, and non-working hours. Adjustment refers to the modification of the opening state of external air inlets and the operating state of internal airflow guidance devices in the preliminary guidance strategy based on noise sensitivity. This can be achieved using a lookup table based on preset rules, fuzzy logic control, or an optimization algorithm.

[0039] This solution generates an airflow guidance strategy in two stages. First, in the first stage, a preliminary guidance strategy is generated based on the air intake efficiency of external air inlets, the actual flow path of natural wind, and the air replacement requirements of each building zone. This preliminary strategy focuses on how to effectively utilize natural wind to meet the air replacement targets for each zone and determines the initial opening degree of the external air inlets and the initial operating mode of the internal air flow guidance devices. Then, in the second stage, the system further considers the impact of noise generated during ventilation on indoor environmental comfort. For each zone within the building, the system assesses its noise sensitivity in the current context (based on its function type, current activity pattern, and time of day). For example, a rest area may be judged to be highly noise-sensitive at night, while a pedestrian area may be less noise-sensitive during the day. The system then optimizes the preliminary strategy generated in the first stage based on this noise sensitivity. This adjustment may involve fine-tuning the opening angle of the air inlets associated with noise-sensitive zones or changing the operating parameters of internal air flow guidance devices (such as fans or deflectors) to reduce noise levels in noise-sensitive zones while minimizing air replacement efficiency. This embodiment can generate a more balanced airflow guidance strategy through a two-stage strategy generation process that first considers ventilation effects and then performs noise optimization. This strategy can not only effectively utilize natural wind for air replacement, but also significantly reduce the possibility of unacceptable noise in noise-sensitive areas or time periods. This embodiment is equivalent to making strategy generation more refined and humane by introducing noise sensitivity considerations, thereby improving the overall comfort of the indoor environment and the overall experience of the personnel.

[0040] To illustrate this solution more clearly, consider a specific area within a building, designated as a "conference room." Suppose that during a specific time period, such as a weekday afternoon, the current activity pattern in this area is detected as "an important meeting in progress." In this scenario, the system determines the area's sensitivity to ventilation noise based on its function type (conference room), current activity pattern (an important meeting in progress), and time period (a weekday afternoon). Because it's an important meeting, this area is judged to be highly sensitive to noise. To meet the air exchange needs of this conference room, the generated preliminary guidance strategy directs the opening of an external air inlet associated with this area to a wider angle or the operation of an internal air flow guide at a higher speed. However, after determining that this area is highly sensitive to noise, the system adjusts the preliminary strategy based on this sensitivity. For example, the system might reduce the originally recommended wide opening of the external air inlet or reduce the operating speed of the internal air flow guide to reduce ventilation noise. Although this adjustment may slightly reduce the air exchange efficiency of this area, it prioritizes acoustic comfort during the meeting.

[0041] In some preferred embodiments, step S322 includes: B1. For each area within the building, determine the initial sensitivity of the area to ventilation noise based on its function type, current activity pattern, and current time period; B2. For each area inside the building, obtain user feedback information about noise and environmental noise parameters in the area, and then adjust the initial sensitivity level based on the feedback information and environmental noise parameters to obtain the noise sensitivity level; B3. For each area inside the building, the opening state of the external air inlets and the working state of the internal airflow guiding devices associated with the area are adjusted according to the noise sensitivity to obtain an airflow guiding strategy.

[0042] Initial sensitivity refers to an initial assessment of noise tolerance based on the static attributes of the area (functional type, current activity mode, and current time period) and preset rules. User noise feedback refers to data that directly or indirectly reflects the perception of ventilation noise by users in the area, such as comfort ratings entered through the user interface or user status perceived through other means. Ambient noise parameters refer to the measured background noise levels within the area.

[0043] The technical solution of the present application dynamically corrects the preliminary noise sensitivity determined based on preset rules by introducing user feedback and environmental noise parameters, thereby obtaining a noise sensitivity that is closer to the actual situation and user needs. Specifically, a basic noise sensitivity judgment is first determined based on the function, activity and time of the area. On this basis, the system further obtains the real-time perception of the current noise by users in the area and the noise level of the environment itself. User feedback directly reflects the individual differences in tolerance and instantaneous perception of noise and makes up for the shortcomings of judgment based on rules alone. Environmental noise parameters provide the background of the impact of the external environment on the user's perception of ventilation noise. For example, when the ambient noise is high, the user may not be sensitive to additional ventilation noise. By adjusting the preliminary sensitivity in combination with these dynamic information, the resulting noise sensitivity can more accurately reflect the actual tolerance of the area to ventilation noise at the current moment. Based on this more accurate noise sensitivity, the system then fine-tunes the opening status of external air inlets and the operating status of internal airflow guidance devices associated with that area. For example, if the adjusted noise sensitivity is high, the system may prioritize strategies that reduce ventilation noise, even if this may mean slightly reducing ventilation volume. Conversely, if the sensitivity is low, the system can more actively utilize natural wind for ventilation while ensuring comfort. This strategy adjustment based on dynamic, personalized sensitivity allows the system to more flexibly and accurately find the optimal balance between ventilation effect and user comfort, effectively solving the problems of inaccurate sensitivity and unreasonable strategy adjustments caused by relying solely on static rules. Compared with the initial guidance strategy generated solely based on air intake efficiency, flow path, and displacement requirements, this solution not only considers ventilation efficiency and requirements, but also further incorporates refined management of noise comfort, making the final airflow guidance strategy more comprehensive and user-friendly.

[0044] For example, during implementation, a pre-set rule table or model is first consulted based on the zone being designated as a "meeting room," the current activity mode being "in meeting," and the current time period being "working hours." This determines that the zone's initial sensitivity to ventilation noise is high. The system then uses microphone sensors within the zone to obtain current ambient noise parameters, such as a background noise level of 40 decibels. Simultaneously, a user enters feedback, "It feels a bit noisy," via the room's control panel or mobile app. The system then adjusts the initial sensitivity based on this feedback and ambient noise parameters. For example, if the ambient noise level is already high despite the initial assessment of high noise sensitivity, the system may moderately reduce the sensitivity. However, if the user explicitly reports noise discomfort, the system may further increase the sensitivity. The resulting noise sensitivity level can be a quantitative value (e.g., a score from 1 to 10) or a status indicator (e.g., "very sensitive"). Based on this adjusted noise sensitivity, the system calculates or searches for a corresponding guidance adjustment strategy. For example, if the sensitivity is adjusted to "very sensitive," the guidance adjustment strategy indicates that the opening degree of the external air inlet associated with the conference room should be reduced from 50% as recommended by the initial strategy to 30%, and the angle of the internal deflector should be adjusted to slow the airflow speed, thereby reducing the noise generated by ventilation. This embodiment can more accurately perceive and respond to the actual tolerance of the building's internal area to ventilation noise, so that the generated airflow guidance strategy can more effectively balance the air replacement effect brought by natural ventilation with the user's comfort requirements for noise. This embodiment can also avoid excessive noise generation when the user is sensitive to noise by considering real-time user feedback and ambient noise, or excessively restricting ventilation when the ambient noise is high and the user's tolerance is high, thereby improving the overall performance of the natural ventilation system and user satisfaction.

[0045] In some preferred embodiments, step S4 includes: S41, generating a first initial adjustment instruction for each external air inlet and a second initial adjustment instruction for the internal airflow guiding device according to the airflow guiding strategy; S42. During the execution of the first initial adjustment instruction and the second initial adjustment instruction, obtaining in real time a third local airflow velocity parameter of the external air inlet, a second internal-external pressure difference parameter, and a fourth local airflow velocity parameter and a second air quality parameter of each area inside the building; S43, obtaining an air replacement effect for each area based on the third local airflow velocity parameter, the second internal and external pressure difference parameter, the fourth local airflow velocity parameter, and the fourth air quality parameter; S44. Optimize and adjust the first initial adjustment instruction and the second initial adjustment instruction according to the air replacement effect.

[0046] Generating first initial adjustment instructions for each external air inlet and second initial adjustment instructions for the internal air flow guidance device based on the airflow guidance strategy refers to the process of converting the airflow guidance strategy into control signals or parameter sets that can be directly recognized and executed by the actuator. The first initial adjustment instructions are for the external air inlets (for example, controlling the opening of the external air inlets), and the second initial adjustment instructions are for the internal air flow guidance devices (for example, controlling the operating mode or power of the internal air flow guidance devices). The third local airflow velocity parameter refers to the air flow velocity in the area near the external air inlets during the execution of the instructions. The second internal-external pressure difference parameter refers to the air pressure difference between the inside and outside of the external air inlets during the execution of the instructions. The fourth local airflow velocity parameter refers to the air flow velocity in each area of ​​the building during the execution of the instructions. The second air quality parameter refers to the concentration of specific pollutants (such as carbon dioxide and volatile organic compounds) or other air quality indicators in the air in each area of ​​the building during the execution of the instructions. The air replacement effect refers to the degree or efficiency of the replacement of air in a specific area of ​​the building with fresh air from the outside through natural wind and / or internal guidance devices. This embodiment can comprehensively evaluate the air replacement effect based on the local airflow velocity, internal-external pressure difference, and air quality parameters before and during the execution of the instructions. Optimization adjustment refers to modifying or correcting the initially generated adjustment instructions based on the air replacement effect to improve the actual airflow control and air replacement performance.

[0047] This solution optimizes the execution of the airflow guidance strategy by introducing real-time feedback and dynamic adjustment mechanisms. First, the system generates initial control commands for external air inlets and internal airflow guidance devices based on the established airflow guidance strategy. As these initial commands are executed, the system collects real-time data on the actual air velocity at the external air inlets, the internal / external pressure differential, and the actual airflow velocity and air quality parameters in each zone within the building. This real-time data reflects the effectiveness of the current strategy implementation in a real-world, dynamic environment. Next, the system uses these real-time parameters to evaluate the air replacement performance in each zone within the building to determine whether the current airflow organization and air quality meet the desired targets. For example, it analyzes changes in airflow velocity and carbon dioxide concentration in a specific zone to determine whether the air in that zone is being effectively refreshed. Finally, the system optimizes the initial control commands based on the evaluated air replacement results. For example, if the air replacement performance in a particular zone is found to be unsatisfactory, the system can dynamically modify the opening of the relevant air inlets or the operating status of the internal guidance devices to enhance ventilation in that zone. Alternatively, if the airflow in a zone is found to be too strong or the air quality has already met the standard, the system can reduce the ventilation volume accordingly. This closed-loop control, powered by real-time feedback, allows the system to adapt to instantaneous changes in natural wind, the external environment, and the interior layout, continuously optimizing airflow control to ensure a stable and comfortable indoor environment. Compared to control methods based solely on pre-set strategies, this solution significantly improves the efficiency of natural wind utilization and the balance of indoor air replacement.

[0048] In one specific embodiment, a method for controlling natural wind flow in an air supply and ventilation system can be implemented as follows: In step S41, a central controller receives an airflow guidance strategy output by a strategy generation module. This strategy may include the desired opening percentage for each external air inlet and the desired operating power or position for each internal airflow guidance device (e.g., a DC fan or electric damper). The central controller converts this strategy information into specific electrical signals or digital commands to form first and second initial adjustment instructions, which are then transmitted to the corresponding actuators via a communication bus. In step S42, a third local airflow velocity parameter and a second internal / external pressure differential parameter are measured in real time at the external air inlets during the execution of the command, as well as a fourth local airflow velocity parameter and a second air quality parameter for each area within the building during the execution of the command. These parameters are then transmitted back to the central controller via a wireless or wired network. In step S43, the central controller evaluates the air replacement effect by analyzing the rate of change of the fourth local airflow parameter and the second air quality parameter. For example, if the fourth local airflow parameter continues to decrease and the second air quality parameter continues to increase while the external air inlet is effectively taking in air (derived from analysis of the third local airflow velocity parameter and the second internal / external pressure differential parameter), this indicates poor air replacement in that area. In step S44, the central controller adjusts control instructions based on the air replacement effect. For example, for areas with poor air replacement, the central controller calculates the required increase in air volume and adjusts the opening instructions of the associated external air inlets or increases the power instructions of nearby internal fans based on the currently effective air inlet efficiency. By incorporating real-time monitoring, effect evaluation, and dynamic adjustment into the execution of the airflow guidance strategy, this embodiment can effectively address the uncertainty in airflow control effectiveness caused by transient changes in natural wind and dynamic changes in the building's external environment and internal layout. Since the system can sense the actual airflow distribution and air quality conditions, and optimize the control instructions according to the actual air replacement effect to correct deviations in strategy execution and avoid poor air replacement effects or negative effects, this embodiment enables the air supply and ventilation system to have adaptive control capabilities based on real-time feedback, thereby improving the system's robustness to complex dynamic environments and ensuring the effective use of natural wind and continuous optimization of the indoor environment, thereby achieving more accurate and efficient indoor air replacement control.

[0049] Second, as Figure 2 As shown, the present application also provides a natural wind control system for an air supply and ventilation system, which includes: Parameter acquisition module 1, for acquiring a first local airflow velocity parameter and a first internal-external pressure difference parameter of each external air inlet, and acquiring a state parameter of a movable structure inside the building, as well as a second local airflow velocity parameter and a first air quality parameter of each area inside the building; Air replacement demand acquisition module 2, used to analyze and obtain the actual flow path of the natural wind and the air replacement demand of each area based on the second local airflow velocity parameter, the first air quality parameter and the state parameter; Strategy generation module 3, used to generate an airflow guidance strategy according to all first local airflow velocity parameters, all first internal and external pressure difference parameters, the actual flow path and all air replacement requirements; The strategy execution module 4 is used to coordinately adjust the opening state of each external air inlet and the working state of the internal air flow guiding device according to the air flow guiding strategy.

[0050] The natural wind control system of an air supply and ventilation system provided in the present application includes a parameter acquisition module 1, an air replacement demand acquisition module 2, a strategy generation module 3 and a strategy execution module 4. The natural wind control system of an air supply and ventilation system provided in this embodiment is used to execute the steps in the natural wind control method of an air supply and ventilation system provided in the first aspect above. The natural wind control system of an air supply and ventilation system provided in this embodiment has the same principle as the natural wind control method of an air supply and ventilation system provided in the first aspect above, and will not be discussed in detail here.

[0051] From the above, it can be seen that the present application provides a natural wind control method and system for an air supply and ventilation system, which obtains the actual flow path of natural wind inside the building and the air replacement requirements of each area by utilizing parameter analysis of different dimensions, and based on this information, coordinates the opening status of each external air inlet and the working status of the internal air flow guiding device to achieve real-time perception of the dynamic changes of the external wind field, the internal layout of the building and the air quality, and adaptively adjusts the air supply and ventilation system based on the information of these dynamic changes. Therefore, the present application can effectively solve the problems of reduced air flow introduction efficiency or even air backflow due to changes in wind direction, as well as insufficient ventilation or local "through-the-hallway" effects due to wind speed fluctuations. In addition, the present application also copes with the uneven local wind pressure distribution, improves the air exchange efficiency in deep or shielded areas, and reduces pollutant accumulation by balancing the air volume of each ventilation outlet, thereby achieving overall efficient utilization of natural ventilation and balanced optimization of the indoor environment.

[0052] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another robot, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0053] In addition, the functional modules in each embodiment of the present 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.

[0054] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.

[0055] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A natural wind control method for an air supply and ventilation system, characterized in that: The natural wind control method of the air supply and ventilation system comprises the following steps: S1. Obtaining a first local airflow velocity parameter and a first internal-external pressure difference parameter for each external air inlet, and obtaining a state parameter of a movable structure inside the building, as well as a second local airflow velocity parameter and a first air quality parameter for each area inside the building; S2. Analyze and obtain the actual flow path of the natural wind and the air replacement requirements of each area based on the second local airflow velocity parameter, the first air quality parameter, and the state parameter; S3, generating an airflow guidance strategy according to all the first local airflow velocity parameters, all the first internal and external pressure difference parameters, the actual flow path, and all the air replacement requirements; S4. Coordinately adjust the opening state of each of the external air inlets and the working state of the internal air flow guiding device according to the air flow guiding strategy.

2. The natural wind control method for the air supply and ventilation system according to claim 1, characterized in that: The first air quality parameter includes carbon dioxide concentration and volatile organic compound concentration, and the state parameter includes door and window switch status, the position of movable partitions and the position of movable furniture.

3. The natural wind control method for an air supply and ventilation system according to claim 1, characterized in that: Step S2 includes: S21. Determine the airflow channel and obstacle distribution inside the building based on the state parameters, and then determine the airflow direction and velocity distribution based on all the second local airflow velocity parameters, the airflow channel, and the obstacle distribution to obtain an actual flow path of the natural wind; S22. For each area inside the building, evaluate the air quality status of the area according to the first air quality parameter, evaluate the air replacement efficiency of the area according to the actual flow path and the second local airflow velocity parameter, and then determine the air replacement demand based on the air quality status and the air replacement efficiency.

4. The natural wind control method for an air supply and ventilation system according to claim 3, characterized in that: Step S22 includes: S221. For each area inside the building, evaluate the air quality of the area according to the first air quality parameter, and evaluate the air replacement efficiency of the area according to the actual flow path and the second local airflow velocity parameter; S222. For each area inside the building, obtain the functional type, real-time occupant density, and real-time heat load parameters of the area; S223. For each area inside the building, determine the air replacement demand according to the air quality status, the air replacement efficiency, the functional type, the real-time occupant density, and the real-time heat load parameter.

5. The natural wind control method for an air supply and ventilation system according to claim 4, characterized in that: Step S223 includes: A1. For each area within the building, determining a preliminary air replacement demand based on the air quality, the air replacement efficiency, the functional type, the real-time occupant density, and the real-time heat load parameter; A2. For each area within the building, obtaining preset personalized comfort preference parameters or real-time comfort feedback parameters for people in that area; the personalized comfort preference parameters include the user's preferred ranges for airflow velocity, air quality, and perceived temperature; the real-time comfort feedback parameters include the user's real-time perception information of the current airflow velocity, current air quality, and current perceived temperature; A3. For each area inside the building, the preliminary air replacement demand is adjusted according to the preset personalized comfort preference parameter or the real-time comfort feedback parameter to obtain an air replacement demand.

6. The natural wind control method for an air supply and ventilation system according to claim 1, characterized in that: Step S3 includes: S31. For each of the external air inlets, determine the air intake efficiency of the external air inlet according to the first local air flow velocity parameter and the first internal-external pressure difference parameter; S32: Generate an airflow guidance strategy according to the air intake efficiency of each of the external air inlets, the actual flow path, and all the air replacement requirements.

7. The natural wind control method for an air supply and ventilation system according to claim 6, characterized in that: Step S32 includes: S321: Generate a preliminary guidance strategy based on the air intake efficiency of each external air inlet, the actual flow path, and all the air replacement requirements, wherein the preliminary guidance strategy includes the opening status of each external air inlet and the working status of the internal airflow guidance device; S322. For each area inside the building, determine the noise sensitivity of the area to ventilation noise based on its functional type, current activity mode, and current time period. Then, adjust the opening state of the external air inlet and the operating state of the internal airflow guiding device associated with the area based on the noise sensitivity to obtain an airflow guiding strategy.

8. The natural wind control method for an air supply and ventilation system according to claim 7, characterized in that: Step S322 includes: B1. For each area within the building, determine the preliminary sensitivity of the area to ventilation noise based on its functional type, current activity pattern, and current time period; B2. For each area inside the building, obtaining user feedback information about noise and environmental noise parameters in the area, and then adjusting the preliminary sensitivity level based on the feedback information and the environmental noise parameters to obtain a noise sensitivity level; B3. For each area inside the building, adjust the opening state of the external air inlet and the working state of the internal airflow guiding device associated with the area according to the noise sensitivity to obtain an airflow guiding strategy.

9. The natural wind control method for an air supply and ventilation system according to claim 1, characterized in that: Step S4 includes: S41, generating a first initial adjustment instruction for each of the external air inlets and a second initial adjustment instruction for the internal airflow guiding device according to the airflow guiding strategy; S42. During the execution of the first initial adjustment instruction and the second initial adjustment instruction, obtaining in real time a third local airflow velocity parameter of the external air inlet, the second internal-external pressure difference parameter, a fourth local airflow velocity parameter of each area inside the building, and the second air quality parameter; S43, obtaining an air replacement effect for each area based on the third local airflow velocity parameter, the second internal-external pressure difference parameter, the fourth local airflow velocity parameter, and the fourth air quality parameter; S44. Optimize and adjust the first initial adjustment instruction and the second initial adjustment instruction according to the air replacement effect.

10. A natural wind control system for an air supply and ventilation system, characterized in that: The natural wind control system of the air supply and ventilation system includes: a parameter acquisition module, configured to acquire a first local airflow velocity parameter and a first internal-external pressure difference parameter of each external air inlet, and acquire a state parameter of a movable structure inside the building, and a second local airflow velocity parameter and a first air quality parameter of each area inside the building; an air replacement demand acquisition module, configured to analyze and acquire an actual flow path of the natural wind and the air replacement demand of each area according to the second local airflow velocity parameter, the first air quality parameter, and the state parameter; a strategy generating module, configured to generate an airflow guiding strategy according to all of the first local airflow velocity parameters, all of the first internal and external pressure difference parameters, the actual flow path, and all of the air replacement requirements; A strategy execution module is used to coordinately adjust the opening state of each of the external air inlets and the working state of the internal air flow guiding device according to the air flow guiding strategy.

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