A natural wind control method and system for a supply and exhaust ventilation system

Abstract

The application relates to the technical field of ventilation control, and particularly provides a natural wind control method and system for a supply and exhaust air system. The method comprises the following steps: acquiring a first local air flow velocity parameter and a first internal and external pressure difference parameter, and acquiring a state parameter of a movable structure, a second local air flow velocity parameter of each region and a first air quality parameter; acquiring an actual flow path and air replacement demand by analyzing the second local air flow velocity parameter, the first air quality parameter and the state parameter; generating an air flow guide strategy according to all the first local air flow velocity parameters, all the first internal and external pressure difference parameters, the actual flow path and all the air replacement demands; and adjusting the opening state of each external air inlet and the working state of an internal air flow guide device according to the air flow guide strategy. The method can realize real-time sensing of dynamic changes of an external wind field, an internal building layout and air quality, and self-adaptive adjustment of the supply and exhaust air system based on information of the dynamic changes.

Description

Technical Field

[0001] This application relates to the field of ventilation control technology, and more specifically, to a method and system for controlling natural wind in an air supply and ventilation system. Background Technology

[0002] In modern multi-story commercial buildings, ventilation systems, equipped with controllable vents and environmental sensors, aim to maximize the use of natural air to achieve energy conservation and improve indoor environmental quality. The system utilizes a central control unit to process indoor and outdoor sensor data and adjusts the vents based on preset logic to achieve a preliminary balance between energy saving and comfort. Industry trends are moving towards more refined adaptive control to optimize the effective use of natural air and indoor environmental management.

[0003] However, the instantaneous 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, changes in wind direction can cause the windward side to quickly become the leeward side, reducing airflow efficiency and even causing backdraft, resulting in a much lower-than-expected amount of natural airflow. Wind speed fluctuations can lead to insufficient ventilation, failing to reduce indoor pollutant concentrations in a timely manner, or creating a localized "through-draft" effect when wind speeds suddenly increase, causing discomfort and airflow noise. In addition, the complex geometry of buildings and the surrounding environment cause uneven local wind pressure distribution, which existing systems cannot detect, resulting in uneven airflow at each vent, with some areas experiencing insufficient ventilation while others experience excessive ventilation. At the same time, dynamic changes in the building's internal layout, such as the movement of partitions or the opening and closing of doors and windows, alter airflow paths and resistance in real time. The system lacks the ability to perceive these changes and cannot adaptively adjust its strategies, leading to low air exchange efficiency in deep or obstructed areas, resulting in low air renewal rates and pollutant accumulation, while uncomfortable airflow may occur in the air inlet area. These factors limit the system's ability to achieve overall efficient utilization of natural ventilation and balanced optimization of the indoor environment in complex dynamic environments.

[0004] Currently, there is no effective technical solution to the above-mentioned problems. It should be noted that the information disclosed in this section is only for understanding the background of the present invention and therefore may include information that does not constitute prior art. Summary of the Invention

[0005] 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 external wind field, building interior layout and air quality in real time and adaptively adjust the air supply and ventilation system based on the information of these dynamic changes.

[0006] In a first aspect, this application provides a method for controlling natural wind in an air supply and ventilation system, which includes the following steps:

[0007] S1. Obtain the first local airflow velocity parameters and the first internal and external pressure difference parameters of each external air inlet, and obtain the state parameters of the movable structure inside the building, as well as the second local airflow velocity parameters and the first air quality parameters of each area inside the building.

[0008] S2. Based on the second local airflow velocity parameters, the first air quality parameters, and the state parameters, the actual flow path of natural wind and the air replacement demand of each area are obtained through analysis.

[0009] S3. Generate an airflow guidance strategy based on all first local airflow velocity parameters, all first internal and external pressure difference parameters, actual flow path, and all air replacement requirements;

[0010] S4. Adjust the opening status of each external air inlet and the working status of the internal airflow guiding device in coordination according to the airflow guiding strategy.

[0011] Secondly, this application also provides a natural wind control system for an air supply and ventilation system, which includes:

[0012] The parameter acquisition module is used to acquire the first local airflow velocity parameters and the first internal and external pressure difference parameters of each external air inlet, as well as the state parameters of the movable structure inside the building and the second local airflow velocity parameters and the first air quality parameters of each area inside the building.

[0013] The air replacement demand acquisition module is used to analyze and obtain the actual flow path of 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.

[0014] The strategy generation module is used to generate airflow guidance strategies based on all first local airflow velocity parameters, all first internal and external pressure difference parameters, actual flow paths, and all air replacement requirements.

[0015] The strategy execution module is used to coordinate and adjust the opening status of each external air inlet and the working status of the internal airflow guiding device according to the airflow guiding strategy.

[0016] As can be seen from the above, the natural wind control method and system for the air supply and ventilation system provided in this application obtains the actual flow path of natural wind inside the building and the air replacement demand of each area by analyzing parameters of different dimensions. Based on this information, the opening status of each external air inlet and the working status of the internal airflow guiding device are coordinated to realize the dynamic changes of external wind field, internal building layout and air quality in real time. Based on this dynamic change information, the air supply and ventilation system is adaptively adjusted. Therefore, this application can effectively solve the problems of reduced airflow introduction efficiency or even air backflow caused by changes in wind direction, as well as insufficient ventilation or local "through wind" effect caused by wind speed fluctuations. In addition, this application also addresses the uneven distribution of local wind pressure, improves the air exchange efficiency of deep or obstructed areas and reduces the accumulation of pollutants by balancing the air volume of each vent. This achieves the overall efficient utilization of natural ventilation and the balanced optimization of the indoor environment. Attached Figure Description

[0017] Figure 1 A flowchart illustrating a natural wind control method for an air supply and ventilation system provided in this application embodiment.

[0018] Figure 2 This is a schematic diagram of the structure of a natural wind control system for an air supply and ventilation system provided in an embodiment of this application.

[0019] Attached reference numerals: 1. Parameter acquisition module; 2. Air replacement demand acquisition module; 3. Strategy generation module; 4. Strategy execution module. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this 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.

[0021] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0022] Firstly, such as Figure 1As shown, this application provides a natural wind control method for an air supply and ventilation system, which includes the following steps:

[0023] S1. Obtain the first local airflow velocity parameters and the first internal and external pressure difference parameters of each external air inlet, and obtain the state parameters of the movable structure inside the building, as well as the second local airflow velocity parameters and the first air quality parameters of each area inside the building.

[0024] S2. Based on the second local airflow velocity parameters, the first air quality parameters, and the state parameters, the actual flow path of natural wind and the air replacement demand of each area are obtained through analysis.

[0025] S3. Generate an airflow guidance strategy based on all first local airflow velocity parameters, all first internal and external pressure difference parameters, actual flow path, and all air replacement requirements;

[0026] S4. Adjust the opening status of each external air inlet and the working status of the internal airflow guiding device in coordination according to the airflow guiding strategy.

[0027] The first local airflow velocity parameter and the first internal and external pressure difference parameter in step S1 refer to real-time data reflecting the airflow velocity and internal and external pressure difference at a specific external air inlet location. In this embodiment, the first local airflow velocity parameter can be obtained using a wind speed sensor (such as a hot-wire anemometer or Pitot tube) installed near the external air inlet. In this embodiment, the first internal and external pressure difference parameter can be obtained using a pressure difference sensor installed near the external air inlet. Specifically, the two ends of the pressure difference sensor are located outside and inside the external air inlet, respectively. Step S1 obtains the accurate local air intake conditions of the external air inlet by obtaining the first local airflow velocity parameter and the first internal and external pressure difference parameter, so as to evaluate the air intake potential of the external air inlet. The state parameters of the movable structure inside the building in step S1 refer to the current position or open / closed state of the structure (such as doors, windows, partitions, and furniture) inside the building 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 structure inside the building. For example, the opening angle or closing state can be obtained by using switch sensors installed on doors and windows, and the current position of the movable partition can be determined by using an encoder or visual recognition system at the bottom of the movable partition. The second local airflow velocity parameters and the 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) of different areas inside the building (e.g., offices, meeting rooms, corridors, etc.). This embodiment can use 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 the first air quality parameters of each area inside the building. This embodiment can understand the air flow in different areas inside the building by obtaining the second local airflow velocity parameters, and can assess the air freshness and pollutant levels in different areas inside the building by obtaining the first air quality parameters.

[0028] The actual flow path of natural wind in step S2 refers to the real flow trajectory and distribution of natural wind within the building due to the influence of structure and obstacles. Step S2 can obtain the actual flow path of natural wind by analyzing the second local airflow velocity parameters and state parameters. Specifically, the process for obtaining the actual flow path of natural wind in step S2 can be as follows: determine the airflow channels and obstacle distribution within the building based on the state parameters of the movable structure inside the building; combine the second local airflow velocity parameters with the airflow channels and obstacle distribution to infer the flow path of natural wind within the building. For example, if the airflow velocity in a certain channel is high and the direction is stable, it indicates that the channel is the main flow path of 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, then 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, then the air replacement demand in that area is low.

[0029] The airflow guidance strategy in step S3 refers to the control scheme that guides the external air inlet and the internal guiding device to work together. Step S3 can generate the airflow guidance strategy by using optimization algorithms (e.g., rule-based expert systems, fuzzy logic control, or machine learning models) to comprehensively consider the potential air intake capacity of the external air inlet (determined by the first local airflow velocity parameter and the first internal-external pressure difference parameter), the actual flow path of the internal airflow, and the air replacement demand of each area. This is achieved by calculating the optimal opening state of the external air inlet (e.g., opening angle, number of openings) and the working state (e.g., speed, angle) of the internal airflow guiding device (e.g., deflector, auxiliary fan). This is done based on all the first local airflow velocity parameters, all the first internal-external pressure difference parameters, the actual flow path, and all air replacement demands. For example, if an external air inlet has a high wind speed and a large pressure difference, and its corresponding internal area has a high air replacement demand, the airflow guidance strategy is to prioritize opening the external air inlet and adjust the internal deflector to guide the airflow to the target area (the area with a high air replacement demand).

[0030] Step S4 achieves coordinated control of external air intake volume, internal airflow direction, and internal airflow velocity by coordinating the opening states of each external air inlet and the operating states of the internal airflow guiding device according to an airflow guidance strategy. This embodiment can adjust the external air intake volume by controlling the opening degree of external windows or dampers, and adjust the internal airflow direction and velocity by controlling the angle or speed of internal fans or deflectors. This embodiment ensures that natural wind flows within the building according to a preset path and intensity by coordinating the opening states of each external air inlet and the operating states of the internal airflow guiding device according to an airflow guidance strategy, thus avoiding localized problems that might result from single-control systems.

[0031] The core innovation of this application lies in analyzing the actual flow path of natural wind inside the building and the air exchange demand of each area 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). Based on this information, the application coordinates the opening status of each external air inlet and the working status of the internal airflow guiding device to achieve real-time perception of the dynamic changes in external wind field, internal building layout, and air quality, and adaptively adjusts 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 caused by changes in wind direction, as well as insufficient ventilation or local "through draft" effect caused by wind speed fluctuations. Furthermore, this application addresses uneven local wind pressure distribution, improves air exchange efficiency in deep or obstructed areas, and reduces pollutant accumulation by balancing the air volume of each vent, thereby achieving overall efficient utilization of natural ventilation and balanced optimization of the indoor environment.

[0032] Specifically, this method operates according to the following steps: First, it acquires the first local airflow velocity parameters and the first internal-external pressure difference parameters of the external air inlet. These parameters reflect the instantaneous changes in the external wind field and the potential for introducing natural wind at each inlet. Simultaneously, it acquires the state parameters of the movable structure inside the building, as well as the second local airflow velocity and the first air quality parameters for each internal area. These parameters provide real-time information on the building's internal layout, airflow distribution, and air quality. Through this comprehensive, multi-dimensional data acquisition, the system can fully 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 solving the problem that existing systems cannot perceive changes in internal layout and uneven local wind pressure. Next, based on the second local airflow velocity parameters, the first air quality parameters, and the state parameters, it conducts an in-depth analysis of the actual flow path of natural wind inside the building and the air replacement requirements of each area. By combining the state parameters of the movable structure, the system can dynamically identify the current airflow channels and obstacle distribution, thereby accurately depicting the real flow trajectory of natural wind in complex internal spaces. This solves the problem of existing systems being unable to adapt to dynamic changes in the internal layout, leading to unclear airflow paths. Simultaneously, based on the first air quality parameter and actual airflow velocity (second local airflow velocity parameter) of each area, the system assesses and determines the specific air replacement needs of each area to ensure the targeted and effective ventilation, thus avoiding insufficient or excessive ventilation. Then, based on all acquired external local airflow velocity parameters, all internal and external pressure difference parameters, the analyzed actual flow paths, and all air replacement needs, an airflow guidance strategy is generated. Because this embodiment comprehensively considers the availability of external natural wind, its actual flow pattern within the building, and the ventilation needs of each area when generating the airflow guidance strategy, the airflow guidance strategy of this embodiment can achieve a balanced distribution and efficient replacement of overall airflow, effectively addressing the challenges of uneven local wind pressure distribution and uneven airflow. Finally, based on 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 and adjusted to accurately control the external air intake and the direction of the internal airflow, and to effectively deliver natural wind to areas that need to improve air quality or increase ventilation efficiency, so as to overcome the obstacles caused by changes in the internal layout and achieve refined control of natural wind and optimized distribution within the building.

[0033] As a preferred embodiment, the solution of this application is specifically implemented as follows:

[0034] In an office floor, anemometers and differential pressure sensors are installed near each operable window to acquire local airflow velocity parameters and internal / external pressure difference parameters at the external air inlets. Status sensors are installed on doors and movable partitions to acquire status parameters of the building's movable structures. Air velocity sensors, carbon dioxide sensors, and volatile organic compound (VOC) sensors are installed in different areas such as office areas, meeting rooms, and corridors to acquire local airflow velocity parameters and air quality parameters for each area within the building. A central control system receives all sensor data. This control system constructs a current internal space model based on the status of doors, windows, and partitions to identify which areas are open, which are closed, and the possible airflow pathways. For example, if an office door is closed, the system treats it as an airflow obstruction. Then, using fluid dynamics simulations or machine learning models based on historical data, the system analyzes the actual flow path of natural wind in the current layout based on the identification results and internal airflow velocity data. For example, if external wind enters from an east-facing window, the system simulates how it passes through the open office area and may be guided to the corridor by partitions. Simultaneously, the air quality of each area is assessed based on carbon dioxide and volatile organic compound concentrations. Combined with actual flow paths and airflow speeds, the air replacement efficiency is evaluated to generate the required air replacement demand for each area. For example, if an office has low airflow speeds and poor air quality, its air replacement demand is determined to be high. Then, the control system comprehensively considers the air intake potential of each window (determined by its first local airflow speed and first internal / external pressure difference), the actual flow path of natural wind, and the air replacement demand of each area to generate an airflow guidance strategy. For example, if the external wind speed and pressure difference are high on the east-facing windows, and the air replacement demand in the open office area and adjacent offices is high, the system will generate a strategy: open all east-facing windows to 45 degrees, and simultaneously activate the adjustable deflectors in the open office area, adjusting their angle to 30 degrees to guide airflow into deeper areas. For areas with better air quality, windows may remain closed or slightly closed. Finally, the control system sends opening or closing or opening degree commands to the electric actuators of the windows, and adjustment commands to the internal air valve actuators or fan controllers to achieve coordinated control of external air intake and internal air guidance. This coordinated action ensures that natural wind can be effectively introduced and guided to areas that need fresh air, avoiding the problems of local "through drafts" or insufficient ventilation, and achieving balanced distribution and efficient replacement of airflow throughout the entire floor.This application can sense and respond in real time to instantaneous changes in natural wind and dynamic changes in building layout and air quality. In other words, this application can more accurately assess the potential of external air intake to avoid ineffective opening or air backflow. This application can also understand the actual flow of natural wind in complex internal environments to identify ventilation dead zones. This application can also determine air replacement needs based on the actual air quality and ventilation efficiency of each area to avoid over-ventilation or under-ventilation. This application can effectively deliver natural wind to areas that need improvement by coordinating the adjustment of external air intake and internal guidance to improve the overall utilization efficiency of natural wind, thereby achieving a balanced distribution of indoor air quality and improving people's comfort, while also achieving energy conservation.

[0035] In some preferred embodiments, the first air quality parameters include carbon dioxide concentration and volatile organic compound (VOC) concentration, while the state parameters include the open / closed status of doors and windows, the location of movable partitions, and the location of movable furniture. Carbon dioxide concentration refers to the amount of carbon dioxide in a unit volume of air and is an important indicator of the accumulation of metabolites generated by indoor human activities. VOC concentration refers to the total amount or specific type of volatile organic compounds in the air and is an important indicator of the level of chemical pollutants released from building materials, furniture, etc. The open / closed status of doors and windows refers to the opening or closing of external air inlets or internal connecting passages (such as interior doors). The location of movable partitions refers to the current spatial coordinates or area information of non-fixed structures (such as movable screens or folding doors) used to divide space within the building. The location of movable furniture refers to the current spatial coordinates or area information of movable items (such as tables, chairs, and cabinets) within the building. This solution can more accurately assess indoor air pollution by obtaining the first air quality parameters, which include carbon dioxide concentration and VOC concentration, thereby improving the comprehensiveness of air quality assessment. This solution can perceive the dynamic changes in the interior spatial layout of a building in real time by acquiring status parameters including the open / closed status of doors and windows, the location of movable partitions, and the location of movable furniture, thereby improving the accuracy of perceiving airflow channels and obstacle distribution. These more accurate and comprehensive input parameters make subsequent analysis of the actual natural wind flow path and the air replacement demand of each area more reliable, thus providing a solid foundation for generating more effective and refined airflow guidance strategies and helping to achieve balanced optimization of the indoor environment.

[0036] In some preferred embodiments, step S2 includes:

[0037] S21. Determine the airflow channels 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, airflow channels and obstacle distribution to obtain the actual flow path of the natural wind;

[0038] S22. For each area inside the building, assess the air quality status of the area based on the first air quality parameter, evaluate the air replacement efficiency of the area based on 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 air replacement efficiency.

[0039] Since state parameters can reflect the connectivity and obstruction of the building's interior space, such as the open / closed status of doors and windows or the location of movable partitions, this embodiment can construct or update the building's interior spatial model based on state parameters. Connecting parts in the spatial model are identified as airflow channels, and obstructing parts are identified as obstacles. Therefore, this embodiment can determine the distribution of airflow channels and obstacles within the building based on 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 using a fluid dynamics model or fluid dynamics simulation algorithm combined with the distribution of airflow channels and obstacles and the 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 internal layout. This embodiment can determine the air quality condition by analyzing which quality parameter range the first air quality parameter falls within. For example, high quality conditions correspond to a carbon dioxide concentration range of 0-1.5%, medium quality conditions correspond to a carbon dioxide concentration range of 1.5%-2.5%, and low quality conditions correspond to a carbon dioxide concentration range of >2.5%. If the first air quality parameter is a carbon dioxide concentration of 1.6, then the air quality condition is medium quality. Since 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 assess the efficiency with which the air in the area can be replaced by fresh external air under current natural ventilation conditions, based on the actual flow path and the second local airflow velocity parameter. Determining air replacement demand based on air quality status and air replacement efficiency refers to the process of dynamically determining whether an area needs ventilation and the urgency of the demand, taking into account both 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.

[0040] The analysis process of this solution is broken down into two sub-steps. The first sub-step focuses on determining the actual flow path of natural wind within the building. The system can dynamically sense changes in the building's internal layout based on state parameters and determine the current airflow channels and obstacle distribution accordingly. Based on this, the system combines actual airflow velocity parameters collected from various areas within the building to more accurately analyze and calculate the specific flow direction and velocity distribution of natural wind under the current internal layout, resulting in a more accurate and realistic natural wind flow path than one generated solely based on a static internal structure. The second sub-step focuses on determining the air replacement needs of each area within the building. For each area, the system can objectively assess the current air quality status based on a first air quality parameter. Simultaneously, based on the actual flow path obtained in the previous step and the actual airflow velocity parameters for that area, the system can assess the efficiency with which the air in that area can be replaced by fresh external air under current natural ventilation conditions. Finally, the system comprehensively considers the air quality status and current air replacement efficiency of that area to dynamically and differentially determine the actual air replacement needs of that area. This dynamic evaluation method based on actual air quality and current replacement efficiency can more accurately determine the real and differentiated air replacement needs of each area. Through the synergistic effect of the two sub-steps mentioned above, the system can dynamically sense changes in the building's internal environment and accurately depict airflow paths, and refine the ventilation needs of each area based on the actual situation. This lays the foundation for generating more effective and adaptive airflow guidance strategies in the future.

[0041] In one preferred implementation, the system can maintain a digital model of the building's interior and update the layout information in the model in real time based on state parameters, thereby determining airflow channels and obstacles. This embodiment can calculate or predict the airflow direction and velocity distribution within the building by inputting actual airflow velocity parameters obtained from wind speed sensors deployed in various areas of the building along with the updated building interior model into a computational fluid dynamics simulation program or a machine learning-based prediction model, thus obtaining the actual flow path. The air quality assessment process can be as follows: using CO2 and VOCs sensors deployed in each area to obtain initial air quality parameters, and comparing these parameters with preset air quality standards to determine the air quality status of that area. The air replacement efficiency assessment process can be as follows: analyzing whether the airflow effectively covers the area based on the actual flow path, and combining this with the actual airflow velocity parameters measured within the area, calculating an index reflecting air renewal capacity. The air replacement demand can be determined by consulting a pre-defined rule table or executing a decision algorithm based on air quality and air replacement efficiency. For example, the rule table could be: when the air quality of a region is poor and the replacement efficiency is low, its air replacement demand is determined to be high; when the air quality of a region is poor and the replacement efficiency is high, its air replacement demand is determined to be medium; when the air quality of a region is good and the replacement efficiency is low, its air replacement demand is determined to be medium; and when the air quality of a region is good and the replacement efficiency is high, its air replacement demand is determined to be low.

[0042] In some preferred embodiments, step S22 includes:

[0043] S221. For each area inside the building, assess the air quality status of the area based on the first air quality parameter, and assess the air replacement efficiency of the area based on the actual flow path and the second local airflow velocity parameter.

[0044] S222. For each area inside the building, obtain the functional type, real-time personnel density, and real-time heat load parameters of that area;

[0045] S223. For each area inside the building, determine the air replacement requirement based on air quality conditions, air replacement efficiency, functional type, real-time occupancy density, and real-time heat load parameters.

[0046] Functional type refers to the preset or current usage nature of a building's internal area. This embodiment can obtain the functional type of an area by reading from the building information model, querying from a preset configuration database, or inputting through a user interface. Real-time personnel density refers to the number of people present in a specific area at the current moment or the density of their distribution. This can be obtained by methods such as personnel counting based on infrared sensors, image analysis based on cameras, location based on Wi-Fi or Bluetooth signal strength, or by combining access control system data. Real-time heat load parameters refer to the total heat generated in a specific area at the current moment due to factors such as personnel activity, equipment operation, and lighting. This embodiment can obtain real-time heat load parameters by estimating based on factors such as personnel density, equipment power, and lighting status, or by collecting data through temperature sensors and heat flow sensors.

[0047] This solution, based on an assessment of regional air quality and air exchange efficiency, further acquires and comprehensively considers regional functional types, real-time population density, and real-time heat load parameters to more comprehensively and accurately determine the air exchange needs of each region. Specifically, firstly, the air quality of the region is assessed based on a first air quality parameter, and the air exchange efficiency is assessed based on the actual flow path of natural wind and a second local airflow velocity parameter within the region. This provides basic information on the current air conditions of the region. Simultaneously, the functional type of the region, real-time on-site population density, and real-time heat load parameters are acquired. These parameters reflect the region's usage, the intensity of human activity, and heat generation; these parameters are key dynamic factors affecting the actual ventilation needs of the region. Then, when determining air exchange needs, air quality, air exchange efficiency, functional type, real-time population density, and real-time heat load parameters are all taken into consideration. This embodiment can more accurately determine the actual amount of fresh air replacement needed in the region by comprehensively analyzing this multi-dimensional information. For example, in a conference room with high population density and high heat load, even if the air quality temporarily meets the standard, the air replacement demand for that area will be set to high to prevent pollutant accumulation and maintain a comfortable temperature. Conversely, in an empty area, even if the air quality is slightly poor, the air replacement demand will be set to low. This comprehensive consideration makes the determined air replacement demand closer to reality, providing a more reliable basis for generating more optimized airflow guidance strategies and enabling subsequent strategies to more effectively utilize natural wind, avoiding insufficient or excessive ventilation, thereby improving overall energy efficiency and comfort.

[0048] In a specific implementation scenario, consider a particular area within a building, such as a conference room. First, the system assesses the current air quality of the area based on readings from first air quality sensors (e.g., carbon dioxide and volatile organic compound sensors) deployed within the conference room; for example, the air quality is considered moderate. Simultaneously, it assesses the air replacement efficiency of the conference room by combining the actual natural wind flow paths determined through other sensors or simulations with second local airflow velocity parameters within the area; for example, the air replacement efficiency is considered moderate. Based on this, the system obtains the functional type information of the area by retrieving it from the building database, indicating that the area is currently defined as a conference room. The system obtains the current real-time occupancy density of the conference room through personnel counting sensors or camera analysis; for example, the real-time occupancy density is high. The system estimates the real-time heat load parameters of the area based on lighting status, equipment operation, etc.; for example, the real-time heat load parameter is high. Finally, the system determines the air exchange demand based on preset logical rules or algorithm models, comprehensively considering factors such as moderate air quality, moderate air exchange efficiency, the functional type of the meeting room, high personnel density, and high real-time heat load parameters. For example, the rule is set as follows: for meeting rooms, when personnel density is high, regardless of air quality and exchange efficiency, the air exchange demand will be raised to a high level. Therefore, the air exchange demand for this meeting room is ultimately determined to be high. This allows the system to identify potential high demand caused by personnel gathering and equipment operation even when air quality temporarily meets standards, thereby avoiding insufficient ventilation. This embodiment can more comprehensively and accurately determine the air exchange demand of various areas within a building by further acquiring and comprehensively considering factors such as the functional type of the area, real-time personnel density, and real-time heat load, based on the assessment of air quality and exchange efficiency. This provides a reliable foundation for subsequently generating more effective and dynamically adaptable airflow guidance strategies, thereby helping to improve the utilization efficiency of natural wind and the overall management level of the indoor environment.

[0049] In some preferred embodiments, step S223 includes:

[0050] A1. For each area inside 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;

[0051] A2. For each area inside the building, obtain the preset personalized comfort preference parameters or real-time comfort feedback parameters of the people in that area; the personalized comfort preference parameters include the user's preference range for airflow speed, air quality and perceived temperature; the real-time comfort feedback parameters include the user's real-time perception information of current airflow speed, current air quality and current perceived temperature.

[0052] A3. For each area inside the building, adjust the initial air exchange requirements based on preset personalized comfort preference parameters or real-time comfort feedback parameters to obtain the air exchange requirements.

[0053] Preset personalized comfort preference parameters refer to the set of technical parameters that users pre-set in the system or application, reflecting their subjective expectations for indoor environmental comfort. These parameters can be obtained and stored through user profiles, regional attribute settings, or input from smart terminal applications. Real-time comfort feedback parameters refer to the set of technical parameters that users directly or indirectly express during use through human-computer interaction interfaces or sensing devices, reflecting their current actual feelings about indoor environmental comfort. These parameters can be obtained through user manual input, emotion recognition, physiological signal monitoring, or data analysis from environmental sensing devices. Air exchange demand refers to the final air exchange volume or ventilation intensity index used to guide airflow guidance strategies, obtained after considering objective environmental factors and user subjective comfort information. It is a target value determined by the system after comprehensively balancing environmental requirements and user experience.

[0054] This solution refines the air exchange requirements determined based on objective environment and usage by utilizing users' subjective comfort information, ensuring that the final requirements better align with users' actual experiences and enhance comfort. Specifically, firstly, for each area within the building, a basic initial air exchange requirement is determined 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 based on a reasonable assessment of the environment and usage. Building upon this, for each area, preset personalized comfort preference parameters or real-time comfort feedback parameters are obtained, allowing the system to promptly perceive users' current actual feelings. Acquiring this subjective information compensates for the shortcomings of relying solely on objective parameters. Finally, the determined initial air exchange requirement is adjusted based on the acquired preset personalized comfort preference parameters or real-time comfort feedback parameters. This adjustment process ensures that the final determined air exchange requirement not only meets basic environmental and usage requirements but also takes into account users' personalized needs and real-time feelings, thereby more accurately guiding subsequent airflow guidance strategies and effectively addressing the problem that objective parameters alone cannot fully meet users' personalized comfort needs, ultimately improving the user experience. Based on determining the actual flow path of natural wind and the air replacement needs of each area, this solution further adjusts the air replacement needs by incorporating users' subjective comfort information. This makes the final determined needs more refined and personalized, thereby generating strategies that better meet actual needs and improving the overall control effect.

[0055] In one embodiment, for a specific area within a building, the system first calculates an initial air replacement requirement based on the area's current carbon dioxide concentration, volatile organic compound concentration, air exchange efficiency obtained through airflow path analysis, the area's functional type, real-time occupancy density, and real-time heat load. This initial air replacement requirement is X cubic meters of air exchange per hour for the area. Next, the system obtains comfort information for people in the area based on user-preset preferences in a mobile application (e.g., the user sets their preferred airflow speed range to 0.1-0.3 m / s, preferred air quality level to "excellent," and preferred perceived temperature range to 24-26 degrees Celsius) or receives real-time feedback from the user via the application (e.g., the user reports "feels a bit stuffy" or "wind speed is too low"). Then, the system adjusts the initial requirement based on these preset preferences or real-time feedback. For example, if the user reports feeling stuffy, the system may increase the initial requirement X by a percentage or a fixed value; if the user's preset preference demands higher air quality, the system may increase the initial air exchange volume without exceeding the user's preferred upper limit for airflow speed or perceived temperature.

[0056] In some preferred embodiments, step S3 includes:

[0057] S31. For each external air inlet, determine the air intake efficiency of the external air inlet based on the first local airflow velocity parameter and the first internal and external pressure difference parameter.

[0058] 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.

[0059] Air intake efficiency refers to a quantitative indicator of the actual airflow capacity of an external air intake under current external wind conditions and internal pressure. This embodiment can determine the air intake efficiency of the external air intake based on a model built from measured data, a lookup table method, or an empirical formula, using the first local airflow velocity parameter and the first internal-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 the airflow guidance strategy. Specifically, firstly, for each external air intake of the building, the system determines the current air intake efficiency of the air intake based on the real-time acquired first local airflow velocity parameter and first internal-external pressure difference parameter by using a preset formula or querying a preset database. This air intake efficiency value reflects the actual airflow introduction capacity of the air intake under the current external wind field and internal pressure distribution. Subsequently, the system uses 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 different areas within the building, to generate the final airflow guidance strategy. When generating the strategy, the system can prioritize the use of air inlets with high air intake efficiency, or adjust the opening degree of associated air inlets with high air intake efficiency according to the air replacement needs of different areas, and coordinate the working status of the 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 assess and utilize the potential of each air inlet, making the generated airflow guidance strategy more targeted and executable, and more finely adaptable to the dynamic changes in external wind conditions and the internal environment. This more effectively utilizes natural wind for ventilation and effectively solves the problems of inaccurate assessment of air intake capacity and insufficient strategy refinement based solely on raw parameters, thereby effectively improving the efficiency of natural wind utilization and the balance of the indoor environment.

[0060] In one embodiment, step S31 can be specifically implemented as follows: for each external air inlet, the system consults a pre-established air inlet efficiency lookup table based on the real-time acquired first local airflow velocity parameter and first internal and external pressure difference parameter to obtain the corresponding air inlet efficiency. The lookup table can be constructed based on actual test data or fluid dynamics simulation results under different combinations of velocity and pressure difference. The table records the air inlet efficiency value corresponding to a specific velocity and pressure difference range. Step S32 can be specifically implemented as follows: The system obtains a list of air intake efficiency of all external air inlets, actual flow path data of natural wind, and a list of air replacement needs for each area; the system runs an optimization algorithm with the goal of maximizing the satisfaction of air replacement needs, while considering 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, giving priority to opening air inlets with high efficiency. At the same time, it determines which air inlets can effectively serve the areas that need air replacement after opening, based on the actual flow path. 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 the adjustment instructions of the internal airflow guidance device (such as a damper or deflector). For example, if the air replacement demand of 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.

[0061] In some preferred embodiments, step S32 includes:

[0062] 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 airflow guidance device.

[0063] S322. For each area inside the building, determine the noise sensitivity of that area to ventilation noise based on its function type, current activity mode, and current time period. Then, adjust the opening status of the external air inlets associated with that area and the working status of the internal airflow guiding device according to the noise sensitivity to obtain an airflow guiding strategy.

[0064] Noise sensitivity refers to the tolerance of an internal building area to noise generated by ventilation. It can be determined based on factors such as the area's function, current activity patterns, and the current time of day. Current activity patterns refer to the ongoing activities within the building area, which may include, but are not limited to, work, meetings, rest, and passage. The 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 modifications made to the opening status of external air inlets and the operational status of internal airflow guiding devices in the initial guidance strategy based on noise sensitivity. This can be achieved using lookup tables based on preset rules, fuzzy logic control, or optimization algorithms.

[0065] 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 the external air inlets, the actual flow path of natural wind, and the air replacement needs of different areas within the building. This preliminary strategy focuses on how to efficiently utilize natural wind to meet the air replacement targets of each area and determines the initial opening degree of the external air inlets and the initial operating mode of the internal airflow guidance devices. Next, in the second stage, the system further considers the impact of noise generated during ventilation on indoor environmental comfort. For each area within the building, the system assesses its noise sensitivity under the current circumstances (based on its function type, current activity mode, and current time of day). For example, a resting area is considered highly noise-sensitive at night, while a passageway area is considered less noise-sensitive during the day. Then, the system optimizes and adjusts the preliminary strategy generated in the first stage based on this noise sensitivity. This adjustment includes fine-tuning the opening angle of the air inlets associated with noise-sensitive areas or changing the operating parameters of internal airflow guidance devices (such as fans or deflectors) to reduce noise levels in noise-sensitive areas while maximizing air replacement effectiveness. This embodiment generates a more balanced airflow guidance strategy through a two-stage strategy generation process that first considers ventilation effects and then optimizes noise. This strategy can not only effectively utilize natural wind for air exchange, but also significantly reduce the possibility of generating unacceptable noise in noise-sensitive areas or time periods. This embodiment is equivalent to making the strategy generation more refined and humanized by introducing noise sensitivity considerations, thereby improving the overall comfort of the indoor environment and the overall experience of the people.

[0066] To illustrate this solution more clearly, consider a specific area within a building, designated as a "meeting room." Suppose that during a specific time period, such as a weekday afternoon, the current activity mode in this area is detected as "an important meeting is in progress." In this case, the system determines the area's sensitivity to ventilation noise based on its function (meeting room), current activity mode (an important meeting in progress), and current time period (weekday afternoon). Because it's an important meeting, the area's noise sensitivity is assessed as high. To meet the air exchange requirements of this meeting room, the initial guidance strategy instructs an external air inlet associated with the area to open at a larger angle or an internal airflow guide device to operate at a higher speed. However, after determining that the area is highly sensitive to noise, the system adjusts the initial strategy accordingly. For example, the system might reduce the previously recommended larger opening of the external air inlet or decrease the operating speed of the internal airflow guide device to reduce ventilation noise. Although this adjustment may slightly decrease the air exchange efficiency of the area, it prioritizes ensuring a comfortable acoustic environment during the meeting.

[0067] In some preferred embodiments, step S322 includes:

[0068] B1. For each area inside the building, determine the initial sensitivity of that area to noise generated by ventilation based on its function type, current activity mode, and current time period;

[0069] B2. For each area inside the building, obtain user feedback information and environmental noise parameters within that area, and then adjust the initial sensitivity based on the feedback information and environmental noise parameters to obtain the noise sensitivity level.

[0070] B3. For each area inside the building, adjust the opening status of the external air inlets associated with that area and the working status of the internal airflow guiding devices according to the noise sensitivity level to obtain an airflow guiding strategy.

[0071] Preliminary sensitivity refers to the 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 feedback on noise refers to data that directly or indirectly reflects people's perception of ventilation noise within the area, such as comfort ratings entered through the user interface or user status perceived through other means. Environmental noise parameters refer to the measured background noise level within the area.

[0072] The technical solution of this application dynamically corrects the initial noise sensitivity level determined based on preset rules by introducing user feedback and environmental noise parameters, thereby obtaining a noise sensitivity level that is closer to the actual situation and user needs. Specifically, a basic noise sensitivity judgment is first determined based on the function, activities, and time of the area. On this basis, the system further obtains the real-time perception of current noise by users in the area and the noise level of the environment itself. User feedback directly reflects the differences in individual tolerance to noise and instantaneous perception, and makes up for the shortcomings of judging solely by rules. Environmental noise parameters provide the background of the influence of the external environment on the user's perception of ventilation noise. For example, when the ambient noise is high, users may not be sensitive to additional ventilation noise. By combining this dynamic information to adjust the initial sensitivity level, the obtained noise sensitivity level can more accurately reflect the actual tolerance of the area to ventilation noise at the current moment. Subsequently, based on this more accurate noise sensitivity, the system fine-tunes the opening status of external air inlets and the operating status of internal airflow guiding devices related to the area. For example, if the adjusted noise sensitivity is high, the system may prioritize strategies to reduce ventilation noise, even if this means 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 find the optimal balance between ventilation effect and user comfort more flexibly and accurately, effectively solving the problems of inaccurate sensitivity and unreasonable strategy adjustment caused by relying solely on static rules. Compared to the initial guidance strategy generated only based on air intake efficiency, flow path, and displacement requirements, this solution further incorporates refined management of noise comfort while considering ventilation efficiency and requirements, making the final airflow guidance strategy more comprehensive and user-friendly.

[0073] For example, during implementation, the system first consults a pre-defined rule table or model based on information such as the area being designated as a "meeting room," the current activity mode being "in a meeting," and the current time period being "working hours" to determine that the area's initial sensitivity to ventilation noise is relatively high. Then, the system uses microphone sensors within the area to obtain current ambient noise parameters, such as a background noise level of 40 decibels. Simultaneously, the user inputs feedback such as "feels a bit noisy" via a control panel in the room or a mobile application. The system then adjusts the initial sensitivity based on the feedback and ambient noise parameters. For instance, even if the initial assessment indicates high noise sensitivity, if the ambient noise level is already high, the system may moderately reduce the noise sensitivity; conversely, if the user explicitly reports discomfort from the noise, the system will further increase the noise sensitivity. The final noise sensitivity level can be a quantifiable value (e.g., a rating from 1 to 10) or a status indicator (e.g., "very sensitive"). Based on this adjusted noise sensitivity, the system calculates or searches for corresponding guidance adjustment strategies. For example, if the sensitivity is adjusted to "very sensitive," the guidance adjustment strategy instructs the opening degree of the external air inlet associated with the meeting room to be reduced from 50% to 30% as initially suggested, and the angle of the internal deflector is adjusted to slow the airflow speed, thereby reducing ventilation noise. This embodiment can more accurately sense and respond to the actual tolerance of ventilation noise in the building's interior areas, enabling the generated airflow guidance strategy to more effectively balance the air replacement effect of natural ventilation with users' noise comfort needs. Furthermore, by considering real-time user feedback and environmental noise, this embodiment avoids generating excessive noise when users are sensitive to noise or overly restricting ventilation when environmental noise is high and user tolerance is high, thereby improving the overall performance of the natural ventilation system and user satisfaction.

[0074] In some preferred embodiments, step S4 includes:

[0075] S41. Generate the first initial adjustment command for each external air inlet and the second initial adjustment command for the internal airflow guiding device according to the airflow guiding strategy.

[0076] S42. During the execution of the first initial adjustment command and the second initial adjustment command, the third local airflow velocity parameter, the second internal and external pressure difference parameter, the fourth local airflow velocity parameter and the second air quality parameter of each area inside the building are acquired in real time.

[0077] S43. Obtain the air replacement effect of 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;

[0078] S44. Optimize and adjust the first initial adjustment command and the second initial adjustment command based on the air replacement effect.

[0079] The process of generating first initial adjustment commands for each external air inlet and second initial adjustment commands for the internal airflow guiding device based on the airflow guiding strategy refers to the process of converting the airflow guiding strategy into control signals or parameter sets that can be directly recognized and executed by the actuator. The first initial adjustment command targets the external air inlets (e.g., controlling the opening of the external air inlets), and the second initial adjustment command targets the internal airflow guiding device (e.g., controlling the operating mode or power of the internal airflow guiding device). The third local airflow velocity parameter refers to the air flow velocity in the area near the external air inlet during the execution of the command. The second internal-external pressure difference parameter refers to the air pressure difference between the inside and outside of the external air inlet during the execution of the command. The fourth local airflow velocity parameter refers to the air flow velocity in each area inside the building during the execution of the command. The second air quality parameter refers to the concentration of specific pollutants (such as carbon dioxide, volatile organic compounds) or other air quality indicators in the air of each area inside the building during the execution of the command. The air replacement effect refers to the degree or efficiency to which the air in a specific area inside the building is replaced by fresh external air through natural wind and / or the internal guiding device. 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 command. Optimization and adjustment refers to modifying or correcting the initially generated adjustment commands based on the air displacement effect in order to improve the actual airflow control and air displacement performance.

[0080] 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 the external air inlets and internal airflow guidance devices based on the predetermined airflow guidance strategy. While these initial commands are being executed, the system collects real-time data on the actual intake velocity of the external air inlets, the internal and external pressure difference, and the actual airflow velocity and air quality parameters in various areas of the building. This real-time data reflects the actual effect of the current strategy execution in a dynamic environment. Next, the system uses these real-time acquired parameters to evaluate the air replacement effect in various areas of the building to determine whether the current airflow organization and air quality have met the expected goals. For example, it analyzes changes in airflow velocity and carbon dioxide concentration in a certain area to determine whether the air in that area has been effectively refreshed. Finally, the system optimizes and adjusts the initially issued adjustment commands based on the evaluated air replacement effect. For example, if the air replacement effect in a certain area is found to be unsatisfactory, the system can dynamically modify the opening of the relevant air inlets or the working status of the internal guidance devices to enhance the ventilation effect in that area; if the airflow in a certain area is found to be too strong or the air quality has met the standards, the system can also reduce the ventilation volume accordingly. This closed-loop control based on real-time feedback enables the system to cope with instantaneous changes in natural wind, external environment, and internal layout, and to continuously optimize airflow control to ensure a stable and comfortable indoor environment. Compared to methods that rely solely on preset strategies for control, this solution significantly improves the efficiency of natural wind utilization and the uniformity of indoor air exchange.

[0081] In one specific embodiment, the natural wind control method for the 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 of each external air inlet and the desired operating power or position of each internal airflow guiding device (e.g., a DC fan or an electric damper). The central controller converts this strategy information into specific electrical signals or digital commands to form a first initial adjustment command and a second initial adjustment command, and sends them to the corresponding actuators via a communication bus. In step S42, a third local airflow velocity parameter and a second internal / external pressure difference parameter at the external air inlets during the execution of the commands, as well as a fourth local airflow velocity parameter and a second air quality parameter for each area inside the building during the execution of the commands, are measured in real time. These parameters are 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 external air inlet can effectively intake air (obtained from the analysis of the third local airflow velocity parameter and the second internal and external pressure difference parameter), and the fourth local airflow parameter continues to decrease while the second air quality parameter continues to increase, it indicates that the air replacement effect in that area is poor. In step S44, the central controller adjusts the control command based on the air replacement effect. For example, for areas with poor air replacement effect, the central controller calculates the required increase in air intake and adjusts the opening command of the associated external air inlet or increases the power command of nearby internal fans based on the efficiency of the currently effective air inlet. By introducing real-time monitoring, effect evaluation, and dynamic adjustment into the airflow guidance strategy execution process, this embodiment can effectively address the uncertainties brought about by the instantaneous changes in natural wind and the dynamic changes in the building's external environment and internal layout on the airflow control effect. Because the system can sense the actual airflow distribution and air quality conditions, and optimize the control commands based on the actual air replacement effect to correct deviations in strategy execution and avoid poor air replacement effect or negative impacts, this embodiment enables the air supply and ventilation system to have adaptive control capabilities based on real-time feedback. This improves the system's robustness to complex dynamic environments and ensures the effective utilization of natural wind and continuous optimization of the indoor environment, thereby achieving more precise and efficient indoor air replacement control.

[0082] Secondly, such as Figure 2 As shown, this application also provides a natural wind control system for an air supply and ventilation system, which includes:

[0083] The parameter acquisition module 1 is used to acquire the first local airflow velocity parameters and the first internal and external pressure difference parameters of each external air inlet, as well as the state parameters of the movable structure inside the building and the second local airflow velocity parameters and the first air quality parameters of each area inside the building.

[0084] The air replacement demand acquisition module 2 is used to analyze and obtain the actual flow path of 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.

[0085] Strategy generation module 3 is used to generate airflow guidance strategies based on all first local airflow velocity parameters, all first internal and external pressure difference parameters, actual flow paths, and all air replacement requirements;

[0086] Strategy execution module 4 is used to coordinate and adjust the opening status of each external air inlet and the working status of the internal airflow guiding device according to the airflow guiding strategy.

[0087] The natural wind control system for an air supply and ventilation system provided in this 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 for an air supply and ventilation system provided in this embodiment is used to execute the steps in the natural wind control method for an air supply and ventilation system provided in the first aspect above. The principle of the natural wind control system for an air supply and ventilation system provided in this embodiment is the same as that of the natural wind control method for an air supply and ventilation system provided in the first aspect above, and will not be discussed in detail here.

[0088] As can be seen from the above, the natural wind control method and system for the air supply and ventilation system provided in this application obtains the actual flow path of natural wind inside the building and the air replacement demand of each area by analyzing parameters of different dimensions. Based on this information, the opening status of each external air inlet and the working status of the internal airflow guiding device are coordinated to realize the dynamic changes of external wind field, internal building layout and air quality in real time. Based on this dynamic change information, the air supply and ventilation system is adaptively adjusted. Therefore, this application can effectively solve the problems of reduced airflow introduction efficiency or even air backflow caused by changes in wind direction, as well as insufficient ventilation or local "through wind" effect caused by wind speed fluctuations. In addition, this application also addresses the uneven distribution of local wind pressure, improves the air exchange efficiency of deep or obstructed areas and reduces the accumulation of pollutants by balancing the air volume of each vent. This achieves the overall efficient utilization of natural ventilation and the balanced optimization of the indoor environment.

[0089] In the embodiments provided in this application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of the above units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple units or components may be combined or integrated into another robot, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0090] In addition, the functional modules 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.

[0091] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.

[0092] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A natural wind control method for a supply and exhaust ventilation system, characterized by, The natural wind control method of the air supply and ventilation system comprises the following steps: S1, acquiring first local air flow velocity parameters and first internal-external pressure difference parameters of each external air inlet, and acquiring state parameters of a movable structure inside a building and second local air flow velocity parameters and first air quality parameters of each region inside the building; S2, analyzing and acquiring an actual flow path of natural wind and air replacement requirements of each region according to the second local air flow velocity parameters, the first air quality parameters and the state parameters; S3, generating an air flow guide strategy according to all the first local air flow velocity parameters, all the first internal-external pressure difference parameters, the actual flow path and all the air replacement requirements; S4, cooperatively adjusting an opening state of each external air inlet and a working state of an internal air flow guide device according to the air flow guide strategy.

2. The natural wind control method for a supply and exhaust system according to claim 1, wherein The first air quality parameters comprise carbon dioxide concentration and volatile organic compound concentration, and the state parameters comprise door and window opening and closing states, positions of movable partitions and positions of movable furniture.

3. The natural wind control method for a supply and exhaust system according to claim 1, wherein Step S2 comprises: S21, determining air flow channels and obstacle distributions inside the building according to the state parameters, and then determining air flow directions and velocity distributions according to all the second local air flow velocity parameters, the air flow channels and the obstacle distributions to obtain the actual flow path of natural wind; S22, for each region inside the building, evaluating an air quality condition of the region according to the first air quality parameters, evaluating an air replacement efficiency of the region according to the actual flow path and the second local air flow velocity parameters, and then determining an air replacement requirement according to the air quality condition and the air replacement efficiency.

4. The natural wind control method for a supply and exhaust system according to claim 3, wherein Step S22 comprises: S221, for each region inside the building, evaluating an air quality condition of the region according to the first air quality parameters, and evaluating an air replacement efficiency of the region according to the actual flow path and the second local air flow velocity parameters; S222, for each region inside the building, acquiring a functional type, a real-time personnel density and a real-time heat load parameter of the region; S223, for each region inside the building, determining an air replacement requirement according to the air quality condition, the air replacement efficiency, the functional type, the real-time personnel density and the real-time heat load parameter.

5. The natural wind control method for a supply and exhaust system according to claim 4, wherein Step S223 comprises: A1, for each region inside the building, determining an air replacement preliminary requirement according to the air quality condition, the air replacement efficiency, the functional type, the real-time personnel density and the real-time heat load parameter; A2, for each region inside the building, acquiring a preset personalized comfort preference parameter or a real-time comfort feedback parameter of a person in the region; the personalized comfort preference parameter comprises a user's preferred range of air flow velocity, air quality and sensible temperature; and the real-time comfort feedback parameter comprises the user's real-time perception information of current air flow velocity, current air quality and current sensible temperature. A3. adjusting the air replacement preliminary demand according to the preset individualized comfort preference parameter or real-time comfort feedback parameter for each region inside the building to obtain an air replacement demand.

6. The natural wind control method for a supply and exhaust system according to claim 1, wherein Step S3 comprises: S31. determining the air intake efficiency of each of the external air inlets according to the first local air flow velocity parameter and the first internal-external pressure difference parameter; S32. generating an air flow guiding strategy according to the air intake efficiency of each of the external air inlets, the actual flow path and all the air replacement demands.

7. The natural wind control method for a supply and exhaust system according to claim 6, wherein Step S32 comprises: S321. generating a preliminary guiding strategy according to the air intake efficiency of each of the external air inlets, the actual flow path and all the air replacement demands, the preliminary guiding strategy comprising the opening state of each of the external air inlets and the working state of the internal air flow guiding device; S322. for each region inside the building, determining the noise sensitivity degree of the region to the noise generated by ventilation according to the functional type, the current activity mode and the current time period of the region, and then adjusting the opening state of the external air inlet and the working state of the internal air flow guiding device associated with the region according to the noise sensitivity degree to obtain an air flow guiding strategy.

8. The natural wind control method for a supply and exhaust system according to claim 7, wherein Step S322 comprises: B1. for each region inside the building, determining a preliminary sensitivity degree of the region to the noise generated by ventilation according to the functional type, the current activity mode and the current time period of the region; B2. for each region inside the building, obtaining feedback information of users in the region about noise and environmental noise parameters, and then adjusting the preliminary sensitivity degree according to the feedback information and the environmental noise parameters to obtain a noise sensitivity degree; B3. for each region inside the building, adjusting the opening state of the external air inlet and the working state of the internal air flow guiding device associated with the region according to the noise sensitivity degree to obtain an air flow guiding strategy.

9. The natural wind control method for a supply and exhaust system according to claim 1, wherein Step S4 comprises: S41. generating first initial adjustment instructions of each of the external air inlets and second initial adjustment instructions of the internal air flow guiding device according to the air flow guiding strategy; S42. obtaining third local air flow velocity parameters and second internal-external pressure difference parameters of the external air inlets, fourth local air flow velocity parameters and second air quality parameters of each region inside the building in real time during execution of the first initial adjustment instructions and the second initial adjustment instructions; S43. obtaining air replacement effects of each region according to the third local air flow velocity parameters, the second internal-external pressure difference parameters, the fourth local air flow velocity parameters and the second air quality parameters; S44. optimizing and adjusting the first initial adjustment instructions and the second initial adjustment instructions according to the air replacement effects.

10. A natural wind control system for a supply and exhaust ventilation system, characterized in that The natural wind control system of the air supply ventilation system comprises: a parameter acquisition module, configured to acquire first local air flow velocity parameters and first internal-external pressure difference parameters of each external air inlet, and to acquire state parameters of movable structures inside the building and second local air flow velocity parameters and first air quality parameters of each region inside the building; The air replacement demand obtaining module is configured to analyze and obtain an actual flow path of natural wind and air replacement demands of each region according to the second local air flow velocity parameter, the first air quality parameter and the state parameter; The strategy generating module is configured to generate an air flow guiding strategy according to all the first local air flow velocity parameters, all the first internal-external pressure difference parameters, the actual flow path and all the air replacement demands; The strategy executing module is configured to adjust an opening state of each external air inlet and a working state of an internal air flow guiding device according to the air flow guiding strategy.

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