Fresh air system control method, system and equipment based on intelligent prediction and medium

Abstract

The invention relates to a fresh air system control method, system and equipment based on intelligent prediction and a medium, and relates to the technical field of air purification, and the method comprises the steps that orientation information and real-time wind direction data of a building provided with a fresh air system and allergen concentration forecast values in all unit grids of a building area are obtained; according to the building orientation information, the real-time wind direction data and an allergen concentration forecast value in each unit grid of the area, whether the invasion risk of invading the building in the prevailing wind direction beyond a safe allergen exists in a future preset time period or not is judged; and if the invasion risk exists, a fresh air inlet branch on the windward side is closed, an air volume adjusting device is controlled to stop or reduce introduction of fresh air from the outside, and meanwhile indoor air circulating filtration is started. According to the method, the risk that the allergens invade the interior of the building can be recognized, the air path is actively adjusted to defend the allergens, and then the safety of indoor air is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of air purification, in particular to a fresh air system control method, system, device and medium based on intelligent prediction. BACKGROUND

[0002] With the improvement of people's living standards, the requirements for living environment comfort and health are also increasing. In the field of advanced environmental protection industry and air purification, the application of fresh air system is becoming more and more widespread. It can improve indoor air quality and create a healthier living and working environment for people, and plays an important role in family homes, offices and hospitals. By introducing outdoor fresh air and discharging indoor polluted air, the fresh air system effectively reduces the concentration of indoor harmful gases and particulate matter, reduces the risk of illness, and improves the quality of life and work.

[0003] In the prior art, to solve the problem of indoor air quality, the traditional fresh air system usually adopts a fixed mode or a simple feedback regulation control strategy. On the one hand, many fresh air systems are opened or closed according to preset parameters at fixed times, for example, the fresh air function is turned on at certain fixed time periods in a day, without considering the actual indoor and outdoor environmental changes. On the other hand, some fresh air systems adjust the air speed through single sensor feedback, such as adjusting the fresh air volume only according to the concentration of a certain pollutant in the room. However, these methods lack the ability to learn and dynamically respond to environmental changes and user habits.

[0004] These conventional control methods of existing fresh air systems have obvious defects. They cannot dynamically optimize the ventilation strategy according to indoor environmental changes and user habits, resulting in high energy consumption and poor comfort. Moreover, they are not responsive to the needs of users with allergic constitution, lack targeted automatic adjustment of operating parameters, and are difficult to avoid the invasion of allergens into the room. In addition, the linkage between the fresh air system and other devices in the smart home is weak, and it is difficult to form a comprehensive comfortable living environment. SUMMARY

[0005] The present application aims to provide a fresh air system control method based on intelligent prediction, which can identify the risk of allergen invasion into the building interior and actively adjust the air path to defend against allergens, thereby improving the safety of indoor air.

[0006] In a first aspect, the present application provides a fresh air system control method based on intelligent prediction, which adopts the following technical solution: A fresh air system control method based on intelligent prediction, comprising: obtaining the orientation information of a building installed with a fresh air system, real-time wind direction data, and predicted values of allergen concentration in each unit grid of the building area; Based on the building orientation information, real-time wind direction data, and the predicted allergen concentration values ​​in each grid cell of the region, it is determined whether there is an intrusion risk of allergens exceeding the safe level entering the building along the prevailing wind direction within a preset time period in the future. If the aforementioned intrusion risk exists, the fresh air intake branch on the windward side is closed, and the air volume regulating device is controlled to stop or reduce the introduction of fresh air from the outside, while the indoor air circulation filter is activated.

[0007] By employing the aforementioned technical solution, the relative orientation between the prevailing wind direction and the building facade is identified to pinpoint the fresh air intake branches in areas with high allergen risk. This allows for the closure or reduction of airflow entering the building, effectively blocking or reducing the intrusion path of polluted air carrying allergens from the outside. Furthermore, in the event of allergen intrusion into the building, indoor air self-circulation purification is simultaneously activated, continuously improving indoor air quality while maintaining basic ventilation requirements. In summary, this control method, through the synergistic effect of predictive judgment and directional airflow adjustment, achieves proactive defense against outdoor allergen intrusion and autonomous maintenance of indoor air quality, enhancing the environmental adaptability of the fresh air system under variable weather conditions, especially during allergy seasons, and improving user health protection.

[0008] In a preferred embodiment, this application can be further configured as follows: the step of determining whether there is an intrusion risk exceeding the safe level of allergens entering the building along the prevailing wind direction within a preset time period based on the building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid cell of the region includes: Obtain the upwind area based on the relative orientation between the building's main facade and the real-time wind direction; Obtain the predicted allergen concentration values ​​for each grid cell in the upwind region; If the predicted allergen concentration exceeds the preset risk level threshold for multiple consecutive forecast periods, and the angle between the real-time wind direction and the orientation of the main facade of the building is less than the preset angle threshold, then an intrusion risk is determined to exist.

[0009] By adopting the above technical solution, the relative orientation of the building's main facade and the real-time wind direction is established to pinpoint potential pollution source areas upwind. Furthermore, by using the building's regional grid units as monitoring units to obtain allergen concentration forecast data for each unit, the accuracy of identifying the location of allergens entering the building with fresh air can be improved. This allows for a more precise assessment of whether there is a risk of allergens exceeding safe levels entering the building along the prevailing wind direction within a predetermined time period. Simultaneously, the criteria for determining allergen intrusion risk are based on two conditions: continuous exceedances over multiple time periods in the time dimension and an angle between the wind direction and the building facade being less than a threshold in the spatial dimension. This eliminates misjudgments caused by instantaneous wind direction fluctuations or isolated concentration peaks, and defensive measures are only activated when there is a genuine, persistent, and directional pollution threat. This ensures the effectiveness of prevention and control while avoiding unnecessary system intervention and energy consumption, thereby improving the accuracy of predictions.

[0010] In a preferred embodiment, this application can be further configured as follows: if the intrusion risk exists, the step of closing the fresh air intake branch on the windward side and controlling the air volume regulating device to stop or reduce the introduction of fresh air from the outside, while simultaneously activating indoor air circulation filtration, includes: Calculate the angle between the real-time wind direction and the orientation of the building's main facade; If the included angle is less than the preset orientation threshold, it is determined that the corresponding fresh air supply branch is located on the windward side; The air volume regulating device on the fresh air supply branch of the windward side is closed, or the opening of the air volume regulating device is reduced to a preset minimum allowable value, so as to reduce the introduction of fresh air from the windward direction.

[0011] By adopting the above technical solution, the real-time angle between the wind direction and the main facade of the building is obtained. Then, based on the preset orientation threshold, the fresh air supply branch located on the path of polluted air intrusion is accurately identified. The opening of the air volume adjustment device of the branch is then closed or limited, so as to effectively reduce or block the input of high-concentration allergens from the upwind direction from the source. While ensuring necessary ventilation in other areas of the building, precise intervention is implemented for high-risk paths, which not only ensures the effectiveness of allergen defense, but also maintains the overall ventilation function of the system to the maximum extent.

[0012] In a preferred embodiment, this application may be further configured as follows: If the intrusion risk exists, the step of closing the fresh air intake branch on the windward side and controlling the airflow regulating device to stop or reduce the introduction of fresh air from the outside, while simultaneously activating indoor air circulation filtration, also includes: In response to the aforementioned intrusion risk, the working intensity of the circulating fan and the working status of the filter components are dynamically adjusted based on real-time monitored indoor air quality parameters to purify the indoor air. Controlling the exhaust duct of the fresh air system, by closing or reducing the exhaust volume, maintains a slightly positive pressure state inside the building relative to the outside, thereby blocking the infiltration of polluted air from outside through building gaps; Based on the configuration information of the building's internal functional zones by the fresh air system, for functional zones marked as having a risk of pollutant release, the independent exhaust branch of the functional zone is activated and the exhaust volume is adjusted. Under the premise of ensuring that the building as a whole maintains a slightly positive pressure, the functional zone is kept in a negative pressure state relative to the adjacent indoor area connected to the corresponding airflow, so as to achieve the isolation of internal pollution sources.

[0013] By adopting the above technical solutions, the circulating fans and filter components are dynamically adjusted to actively purify the existing indoor air when dealing with the risk of external intrusion. By controlling the exhaust duct to establish and maintain a slightly positive pressure environment inside the building, the infiltration of external polluted air through the gaps in building doors and windows can be effectively blocked. At the same time, independent exhaust is started and local negative pressure is maintained in functional areas with internal pollution sources, realizing the directional isolation of internal pollution sources and preventing the pollution sources from spreading to other clean areas. This not only defends against the input of external allergens but also controls the spread of internal pollution sources, ultimately forming a complete closed loop from blocking outdoor intrusion to controlling indoor pollution.

[0014] In a preferred embodiment, this application can be further configured as follows: the step of obtaining the building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid cell of the building area equipped with a fresh air system includes: The system obtains the user's pre-configured allergy type information and determines whether the user is in the peak allergy season corresponding to the current allergy type, based on the current season. Different allergy types are associated with different seasonal peak periods. The location information of the user's mobile terminal is obtained to predict the user's arrival time at home. If the current period is a high-incidence period for allergies, the fresh air system is activated to pre-purify the indoor air within a preset time period before the arrival time.

[0015] By adopting the above technical solutions, user allergy type information is obtained and matched with seasonal peak periods to identify key periods requiring special protection. Combined with the user's mobile terminal location information to predict arrival time, a pre-purification program is initiated before the user arrives, transforming the traditional passive response into proactive intervention. This allows users to obtain a clean air environment that meets their health needs as soon as they enter the room, solving the pain point of allergies caused by delayed protection in actual user scenarios. While improving the level of health protection, precise timing control can also avoid energy waste caused by the continuous operation of the fresh air system.

[0016] In a preferred embodiment, this application can be further configured as follows: the step of obtaining the location information of the user's mobile terminal to predict the user's arrival time, and activating the fresh air system for indoor air pre-purification within a preset time period before the arrival time if the current period is a high-incidence period for allergies, includes: Based on changes in the connection status between the user's mobile terminal and home network devices or geofence trigger signals, determine whether the user has entered a preset nearby area centered on the building. If a user enters a preset neighborhood centered on a building, the remaining time to reach the building is calculated based on the user's movement trend, and the remaining time is used as a preset time period before the arrival time at home. If the current period is a high-incidence period for allergies, the fresh air system will be activated to pre-purify the indoor air during the remaining time. When starting the indoor air pre-purification operation, the timing of the pre-purification start, the operating air volume or the filtration intensity are dynamically adjusted according to whether it is a high-incidence period for allergies and the risk level of the allergen concentration forecast data in each unit grid of the area.

[0017] By adopting the above technical solutions, the dual triggering methods of mobile terminal connection status or geofencing can accurately determine the user's status when entering the nearby area; and the dynamic remaining time calculated based on movement trends serves as a pre-purification window, enabling the purification duration to be precisely matched with actual needs; combined with unit grid-level allergen concentration forecasting, a unit grid-level spatial distribution map of allergen concentration is constructed to more accurately identify the specific intrusion path and risk level distribution of pollutants, thereby improving the targeted protection capability of the fresh air system under complex meteorological and pollution diffusion conditions.

[0018] In a preferred embodiment, this application may be further configured as follows: after the steps of closing the fresh air intake branch on the windward side and controlling the airflow regulating device to stop or reduce the introduction of fresh air from the outside and simultaneously activating indoor air circulation filtration if the intrusion risk exists, the application further includes: During the period when fresh air intake from the outside is stopped, real-time wind direction, the status of the windward side of the building, and the predicted allergen concentration values ​​of each grid unit in the building area are continuously monitored during the monitoring period. When the forecast value of allergen concentration is lower than the preset safety threshold for multiple consecutive forecast periods, and the prevailing wind direction has deviated from the main facade of the building by a value greater than or equal to the preset angle threshold, the risk of intrusion is determined to be eliminated. In response to the risk clearance determination, the fresh air intake of the fresh air intake branch on the windward side is restored.

[0019] By adopting the above technical solutions, real-time wind direction, the condition of the building's windward side, and allergen concentration forecast data at the unit grid level are continuously monitored to dynamically track the changing trends of the external environment. Furthermore, based on the dual release conditions of continuous period concentration meeting standards and deviation of the dominant wind direction, the accuracy and reliability of risk clearance determination are improved. At the same time, through the response mechanism of automatically restoring the introduction of fresh air on the windward side, the fresh air system achieves a smooth switch from defense mode to normal operation mode, effectively avoiding the problem of insufficient indoor fresh air supply caused by shutting down or reducing the inflow of fresh air due to prolonged exposure to polluted air with high concentrations of allergens.

[0020] Secondly, this application provides a fresh air system control system based on intelligent prediction, which adopts the following technical solution: A fresh air system control system based on intelligent prediction includes: Data acquisition module: used to acquire building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid unit of the building area that has a fresh air system installed; Risk assessment module: used to determine whether there is an intrusion risk of allergens exceeding the safe level and entering the building along the prevailing wind direction within a preset time period based on the building orientation information, real-time wind direction data and the predicted allergen concentration values ​​in each grid cell of the area; Fresh air control module: If the aforementioned intrusion risk exists, it closes the fresh air intake branch on the windward side, controls the air volume adjustment device to stop or reduce the introduction of fresh air from the outside, and simultaneously starts indoor air circulation filtration.

[0021] Thirdly, this application provides an electronic device that adopts the following technical solution: An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described intelligent prediction-based fresh air system control method.

[0022] Fourthly, this application provides a computer storage medium, as follows: A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described intelligent prediction-based fresh air system control method.

[0023] In summary, this application has the following beneficial technical effects: 1. By combining building orientation, real-time wind direction, and allergen concentration forecasts for each building area divided into unit grids, this application not only accurately identifies the upwind pollution source area, but also effectively eliminates interference caused by instantaneous environmental fluctuations by requiring continuous concentration exceeding the standard and the wind angle to be less than a threshold, thus improving the accuracy and reliability of risk identification and laying a solid foundation for subsequent precise prevention and control.

[0024] 2. After identifying the risk of allergies, this application uses a fresh air system to block pollution at the source by closing the windward side branch, while simultaneously activating internal circulation to purify indoor air. Furthermore, by adjusting the positive and negative pressure of each functional zone within the building, it prevents cross-contamination between different areas, thereby greatly improving the overall safety and health protection level of the indoor environment.

[0025] 3. This application incorporates the user's individual allergy type, seasonal peak period, and real-time geographical location information into the decision-making process, enabling the user and the environment to jointly drive the operation of the fresh air system, thereby improving the safety and comfort of the user's indoor breathing environment. Furthermore, by predicting the user's arrival time and initiating pre-purification en route, it ensures that the user can enjoy safe and clean air upon arrival, enhancing the user experience while also optimizing system energy efficiency through on-demand operation. Attached Figure Description

[0026] Figure 1 This is a flowchart of a fresh air system control method based on intelligent prediction in one embodiment of this application.

[0027] Figure 2 This is a flowchart of a sub-step of step S2 in one embodiment of this application.

[0028] Figure 3 This is a flowchart of a sub-step of step S3 in one embodiment of this application.

[0029] Figure 4 This is a flowchart of the steps performed simultaneously during step S3 in one embodiment of this application.

[0030] Figure 5 This is a flowchart of a sub-step of step S1 in one embodiment of this application.

[0031] Figure 6 This is a flowchart of a sub-step of step S11 in one embodiment of this application.

[0032] Figure 7 This is a flowchart of the steps added after step S3 in one embodiment of this application.

[0033] Figure 8 This is a schematic diagram of the structure of a fresh air system control system based on intelligent prediction, according to one embodiment of this application.

[0034] Figure 9 This is a schematic block diagram of an electronic device in one embodiment of this application.

[0035] Attached diagram labels: 1. Data acquisition module; 2. Risk assessment module; 3. Fresh air control module. Detailed Implementation

[0036] The following is in conjunction with the appendix Figures 1-9 This application will be described in further detail.

[0037] It should be noted that, in the embodiments of this invention, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this invention involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0038] refer to Figure 1 A fresh air system control method based on intelligent prediction, specifically including: S1. Obtain the building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid unit of the building area that has a fresh air system installed.

[0039] Specifically, the system acquires information on the orientation of buildings equipped with fresh air systems, real-time wind direction data, and forecast values ​​of allergen concentrations within each grid unit of the building area. The building orientation information is used to determine the relative relationship between each facade and the prevailing wind direction. Real-time wind direction data is provided by a meteorological interface or local wind direction sensors. The forecast values ​​of allergen concentrations are based on spatial data from a Geographic Information System (GIS) and an environmental monitoring network. The target area is divided into several spatial grid units at a scale of 100 meters to 1 kilometer, such as using equidistant latitude and longitude grids. Each grid represents relatively homogeneous environmental characteristics and supports dynamically updated allergen concentration forecasts.

[0040] Based on the data obtained above, a multi-dimensional input foundation combining building physical characteristics, real-time meteorological conditions, and high spatial resolution allergen distribution was constructed to accurately identify the pollution risk grid corresponding to the windward side of the building. This provides a high-precision prediction basis for subsequent targeted blocking of external allergen intrusion, thereby improving the granularity of environmental perception and the foresight of control strategies.

[0041] S2. Based on building orientation information, real-time wind direction data, and forecast values ​​of allergen concentrations in each grid cell of the region, determine whether there is a risk of allergens exceeding the safe level entering the building along the prevailing wind direction within a preset time period in the future.

[0042] Specifically, by combining data on building physical characteristics, real-time meteorological conditions, and high spatial resolution allergen distribution, it is possible to further determine whether there is an intrusion risk of allergens exceeding the safe level along the prevailing wind direction into the building within a preset time period. This enables a quantitative assessment and risk classification of the possibility of external allergen intrusion, allowing for the early identification of high-risk periods and directions, thereby avoiding the delayed deterioration of indoor air quality caused by passive responses.

[0043] S3. If there is a risk of intrusion, close the fresh air intake branch on the windward side and control the air volume adjustment device to stop or reduce the introduction of fresh air from the outside, while starting the indoor air circulation filter.

[0044] Specifically, the closure of the fresh air intake branch is achieved through an electric air valve, and the air volume adjustment device dynamically adjusts the air supply volume according to the risk level to maintain the minimum ventilation requirement. The indoor circulation filter works in conjunction with the high-efficiency filter and the internal circulation fan to block the entry path of high-concentration allergen air from the source. At the same time, it enhances internal air purification without sacrificing basic ventilation functions. This effectively reduces the exposure risk for users with allergies and avoids CO2 accumulation or stuffiness caused by complete shutdown, achieving a synergistic optimization of health protection and comfort and energy saving.

[0045] refer to Figure 2 Furthermore, in one embodiment, step S2 is refined into the following sub-steps: S20. Obtain the upwind area based on the relative orientation between the building's main facade and the real-time wind direction.

[0046] Specifically, by using the normal direction of the building's main facade as a reference, and combining it with the real-time wind direction to calculate the angle between the two, and based on the principle of air flowing in from the windward side and out from the leeward side under the action of wind pressure, the external fan-shaped space range located upstream of the prevailing wind and directly facing the air inlet is determined, so as to lock the source area most likely to transport polluted air into the room and improve the spatial identification accuracy of external intrusion paths.

[0047] S21. Obtain the predicted allergen concentration values ​​for each grid cell in the upwind area.

[0048] Specifically, the grid units in the upwind area are divided into units based on a geographic information system at a scale of 100 meters to 1 kilometer, supporting dynamic updates of concentration predictions for specific allergens such as pollen according to time series.

[0049] S22. If the predicted allergen concentration exceeds the preset risk level threshold for multiple consecutive forecast periods, and the angle between the real-time wind direction and the orientation of the main facade of the building is less than the preset angle threshold, then an intrusion risk is determined to exist.

[0050] Specifically, based on the angle between the building's main facade orientation and the real-time or short-term forecast wind direction, the upwind area that is upstream of the prevailing wind and directly opposite the building's air intake is identified. Subsequently, the predicted concentration values ​​of specific allergens (such as pollen) for each grid cell corresponding to the windward facade space within this unit area are extracted and published at time steps (such as every 10 minutes) for the next 1 to 3 hours.

[0051] Next, the predicted allergen concentration values ​​are compared with the individualized sensitivity thresholds set for each user's allergy type in their health record, time by time. The user's health record includes the user's allergy history (such as sensitivity type to specific allergens such as pollen), the temporal pattern of past allergy attacks (such as seasonality, diurnal rhythm, or association with specific weather conditions), doctor-recommended environmental control parameters (such as recommended upper limits for indoor particulate matter concentration, humidity range, etc.), and user-defined preferences (such as tolerance for fresh air volume, noise level, and purification intensity), which can be manually entered by the user through a smart terminal, or automatically synchronized with home medical devices or health management platforms with authorization.

[0052] The system determines that there is a real and persistent risk of allergen intrusion if the following three conditions are met: The allergen concentration exceeds the corresponding individualized sensitivity threshold for two or more consecutive forecast periods; The angle between the real-time or forecast wind direction and the normal direction of the main facade of the building is less than the preset angle (such as ±45°), ensuring that the wind direction has the geometric conditions to blow directly towards the air inlet. If the wind speed during the corresponding period is not lower than the minimum effective delivery wind speed (e.g., ≥1m / s), it indicates that the system has actual air delivery capacity.

[0053] In addition, refer to Figure 3 Furthermore, in one embodiment, step S3 is refined into the following sub-steps: S30. Calculate the angle between the real-time wind direction and the orientation of the building's main facade.

[0054] Specifically, the current prevailing wind direction angle is obtained by integrating meteorological service interfaces or local wind direction sensors, and the direction of the main facade normal is determined by combining building BIM information or user preset parameters. Then, the minimum angle between the two is calculated, which provides a reliable geometric basis for the subsequent accurate positioning of the windward fresh air branch, avoids misjudgment caused by relying on rough orientation division, and improves the spatial targeting and system response accuracy of wind path control.

[0055] S31. If the included angle is less than the preset orientation threshold, it is determined that the corresponding fresh air supply branch is located on the windward side.

[0056] Specifically, if the included angle is less than the preset azimuth threshold, which is set to ±45° in this embodiment, it is determined that the corresponding fresh air supply branch is located on the windward side, thus identifying the high-risk air intake path, providing a clear target for directional closure or flow restriction, and enhancing the system's ability to perceive and isolate external pollution intrusion paths.

[0057] S32. Close the air volume regulating device on the fresh air supply branch on the windward side, or reduce the opening of the air volume regulating device to the preset minimum allowable value, so as to reduce the introduction of fresh air from the windward direction.

[0058] Specifically, whether to shut down the airflow regulator or simply reduce it to the preset minimum allowable value depends on the intrusion risk level and the user's personalized ventilation needs in their health record. When the system determines a high-risk intrusion situation, such as allergen concentrations in the upwind area significantly exceeding the user's sensitivity threshold for multiple consecutive periods, a stable wind direction directly facing the air inlet, and wind speed within a high-efficiency delivery range, the airflow regulator on the windward fresh air supply branch will be completely shut off to maximize the blocking of the pollution source. When a medium-to-low-risk situation is determined, such as concentrations slightly exceeding the threshold, wind angles approaching the critical value, or low wind speeds, the regulator will not be completely shut off but will be reduced to the preset minimum allowable value. This minimum allowable value is dynamically determined based on the basic ventilation requirements set in the user's health record to maintain necessary indoor air renewal. This effectively reduces or blocks the input of high-concentration allergens from the upwind direction at the source, while ensuring necessary ventilation in other areas of the building and implementing precise intervention for high-risk paths. This ensures the effectiveness of allergen defense while maximizing the overall ventilation function of the fresh air system.

[0059] In addition, refer to Figure 4 Furthermore, in one embodiment, while step S3 is being performed, the following steps are also performed: S33. In response to the risk of intrusion, the working intensity of the circulating fan and the working status of the filter components are dynamically adjusted according to the real-time monitored indoor air quality parameters to purify the indoor air.

[0060] Specifically, in response to the risk of intrusion, the system dynamically adjusts the speed of the circulating fan and the activation level of the filter components based on real-time monitored indoor air quality parameters, including PM2.5, TVOC, CO2, and specific allergen concentrations. In this embodiment, the filtration levels include pre-filter, medium-efficiency filter, and high-efficiency filter (HEPA filter). For example, when an increase in pollen concentration is detected, the system automatically switches to HEPA high-efficiency filtration mode and increases the internal circulation airflow. Ultimately, while reducing or cutting off the introduction of outdoor fresh air, the fresh air system can actively enhance its purification capacity for existing indoor air, continuously reducing the concentration of allergens and other pollutants, ensuring that indoor air quality does not decline due to external defense measures, and effectively maintaining the respiratory health and overall comfort of users with allergies.

[0061] S34. Control the exhaust duct of the fresh air system to maintain a slightly positive pressure state inside the building relative to the outside by closing or reducing the exhaust volume, so as to block the infiltration of external polluted air through building gaps.

[0062] Specifically, by controlling the exhaust ducts of the fresh air system, and by closing some exhaust vents or reducing the exhaust fan speed to decrease the total exhaust volume, the overall air pressure inside the building is maintained at a slightly positive pressure of +5 Pa to +10 Pa relative to the outside. This utilizes the principle of air pressure difference to reduce the infiltration of high-concentration allergen air from outside into the room through uncontrolled pathways such as door and window gaps and wall openings, forming a physical barrier and improving the overall airtightness against external pollution, especially in actual living environments where the building envelope cannot be completely sealed.

[0063] S35. Based on the configuration information of the building's internal functional zones by the fresh air system, for functional zones marked as having a risk of pollutant release, the independent exhaust branch of the functional zone is activated and the exhaust volume is adjusted. Under the premise of ensuring that the building as a whole maintains a slightly positive pressure, the functional zone maintains a negative pressure state relative to the adjacent indoor area connected to the corresponding airflow, so as to achieve the isolation of internal pollution sources.

[0064] Specifically, based on the configuration information of the building's internal functional zones by the fresh air system, such as kitchens, bathrooms, and pet areas marked as having a risk of pollutant release, the independent exhaust branches of the corresponding functional zones are activated, and the exhaust volume of each functional zone is adjusted to maintain a local negative pressure of -5Pa to -10Pa for each marked zone relative to adjacent clean areas such as living rooms and bedrooms. At the same time, it ensures that the entire building is still in a slightly positive pressure state, realizing a dual protection mechanism of "preventing external input and controlling internal diffusion". While resisting external allergens, it prevents internal pollutants (such as cooking fumes, pet dander, and mold spores) from spreading to the main living areas. It is especially suitable for families with members who have allergies, thereby improving the cleanliness and health safety of the indoor air environment.

[0065] In addition, refer to Figure 5Furthermore, in one embodiment, step S1 is refined into the following sub-steps: S10. Obtain the allergy type information pre-configured by the user, and determine whether it is in the high-incidence period of the allergy type in combination with the current season. Different allergy types are associated with different seasonal high-incidence intervals.

[0066] Specifically, the system obtains the user's pre-configured allergy type information and combines it with the current season and pre-built medical or meteorological association rules in the fresh air system to determine whether the user is in the high-incidence period corresponding to that allergy type. For example, spring is the high-incidence period for pollen, and the plum rain season is the high-incidence period for mold. Each type of allergen is associated with a seasonal active range verified by clinical or environmental data, thereby enabling the proactive identification of individual health risks. This allows the fresh air system to automatically enter a high-sensitivity mode when enhanced protection is truly needed, avoiding energy waste caused by indiscriminate operation throughout the year. At the same time, it provides key triggering conditions for subsequent precise activation of pre-purification, significantly improving the personalized response capability for users with allergies.

[0067] S11. Obtain the location information of the user's mobile terminal to predict the user's arrival time at home. If the user is currently in a high-incidence period of allergies within a preset time period before the arrival time, start the fresh air system to pre-purify the indoor air.

[0068] Specifically, the system obtains the location information of the user's mobile terminal to predict their arrival time at home. Within a preset time period before the arrival time, such as 30 minutes, if the current period is a high-incidence period for allergies, the system will activate the internal circulation purification mode of the fresh air system in advance, increase the filtration level to HEPA and run the circulating fan to pre-treat the indoor air. This transforms air quality management from "passive response after the user enters the house" to "proactive preparation before the user arrives at home," ensuring that the user is already in a clean and low-allergen environment when they step into the house. This effectively avoids acute reactions caused by the instantaneous intrusion of external pollution at the door or the accumulation of allergens indoors. At the same time, because it only operates for short periods when necessary, it takes into account both comfort and energy-saving goals, solving the dual pain points of traditional systems such as lagging protection and excessive energy consumption.

[0069] In addition, refer to Figure 6 Furthermore, in one embodiment, step S11 is refined into the following sub-steps: S110. Based on the change in the connection status between the user's mobile terminal and the home network device or the geofence trigger signal, determine whether the user has entered a preset nearby area centered on the building.

[0070] Specifically, based on changes in the connection status between the user's mobile terminal and home network devices (such as the user's mobile terminal reconnecting to home Wi-Fi) or geofence trigger signals (such as entering an electronic fence area with a radius of 1-3 kilometers centered on a building), it is determined whether the user has entered a preset nearby area.

[0071] S111. If a user enters a preset neighborhood centered on a building, the remaining time to reach the building is calculated based on the user's movement trend, and the remaining time is used as a preset time period before the user arrives home.

[0072] Specifically, if a user enters a pre-defined adjacent area centered on a building, the remaining time for them to reach the building entrance is estimated based on their location history and real-time speed trend reported by their mobile terminal. This remaining time is then dynamically set as the countdown time for starting pre-purification, ensuring that the end time of pre-purification matches the user's actual arrival time at home. This ensures that air cleanliness meets standards while avoiding ineffective operation and energy waste caused by starting too early.

[0073] S112. If the current period is a high-incidence period for allergies, activate the fresh air system to pre-purify the indoor air during the remaining time.

[0074] Specifically, if it is determined that the user is currently in a high-incidence period for their allergy type within the remaining time, the indoor air pre-purification function of the fresh air system will be automatically activated, prioritizing the use of the internal circulation mode and starting a more efficient filtration level. This effectively solves the allergy exposure problem caused by the lag in response of traditional systems, and improves user experience and health protection.

[0075] S113. When starting the indoor air pre-purification operation, dynamically adjust the start time, operating air volume or filtration intensity of the pre-purification based on whether it is a high-incidence period for allergies and the risk level of allergen concentration forecast data in each unit grid of the area.

[0076] Specifically, when starting the indoor air pre-purification operation, the risk level is assessed by combining whether it is a high-incidence period for allergies and the allergen concentration forecast data of each unit grid in the upwind area. The timing of the pre-purification start, the operating air volume and the filtration intensity are dynamically adjusted. This makes the pre-purification strategy not only respond to user behavior and seasonal patterns, but also adapt to the intensity of real-time pollution threats, optimizing energy consumption and noise performance while ensuring the protective effect.

[0077] In addition, refer to Figure 7 Furthermore, in one embodiment, after step S3, steps S36, S37, and S38 are added: S36. During the period when fresh air is not introduced from the outside, continuously monitor the real-time wind direction, the status of the windward side of the building, and the predicted values ​​of allergen concentrations in each grid unit of the building area during the monitoring period.

[0078] Specifically, during the period when fresh air intake from the outside is suspended, real-time wind direction data, changes in the angle between the wind direction and the main facade on the windward side of the building, and allergen concentration forecasts for each grid unit in the upwind area are continuously acquired during the monitoring period. This allows for continuous tracking of the evolution of external environmental risks, thus maintaining real-time awareness of external pollution trends even while defending against air carrying allergens. This avoids missing the opportunity to eliminate risks due to sudden environmental changes and provides reliable data support for the safe resumption of fresh air intake.

[0079] S37. When the forecast value of allergen concentration is lower than the preset safety threshold for multiple consecutive forecast periods, and the prevailing wind direction has deviated from the main facade of the building by a value greater than or equal to the preset angle threshold, the risk of intrusion is determined to be eliminated.

[0080] Specifically, if the predicted allergen concentration values ​​of the corresponding unit grid in the upwind direction are all lower than the preset safety threshold set in the user's health record within multiple consecutive forecast periods, such as 2-3 consecutive 10-minute periods, and the angle between the prevailing wind direction and the orientation of the main facade of the building is greater than or equal to the preset angle threshold (e.g., greater than the angle threshold of 45° set in this embodiment), it indicates that the direction of the pollution source has deviated from the air inlet area, and the intrusion risk is determined to be eliminated. This prevents premature recovery caused by a brief drop in concentration or a momentary swing in wind direction, significantly improving the robustness and safety of the risk elimination judgment and avoiding the risk of secondary pollution.

[0081] S38. In response to the risk clearance determination, restore the fresh air introduction of the fresh air intake branch on the windward side.

[0082] Specifically, in response to the risk clearance determination, the normal opening of the fresh air intake branch on the windward side is automatically restored, and outdoor fresh air with high-efficiency filtration is reintroduced. The air supply volume and purification intensity are dynamically adjusted according to the current indoor air quality and user habits, so as to achieve a smooth switch from emergency defense mode to normal operation mode. After ensuring that the external threat is completely eliminated, sufficient fresh air supply is restored in a timely manner, avoiding CO2 accumulation, humidity imbalance or stuffiness caused by long-term internal circulation. It takes into account the balance of indoor air freshness, comfort and energy efficiency, and effectively avoids the problem of insufficient indoor fresh air supply caused by closing or reducing the inflow of fresh air due to dealing with polluted air with high concentrations of allergens for a long time.

[0083] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0084] This application also provides a fresh air system control system based on intelligent prediction, which corresponds one-to-one with the fresh air system control method based on intelligent prediction in the embodiments.

[0085] refer to Figure 8 A fresh air system control system based on intelligent prediction includes: a data acquisition module 1, a risk assessment module 2, and a fresh air control module 3. Detailed descriptions of each functional module are as follows: Data acquisition module 1: Used to acquire building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid unit of the building area that has a fresh air system installed.

[0086] Risk assessment module 2: It is used to determine whether there is an intrusion risk of allergens exceeding the safe level and entering the building along the prevailing wind direction within a preset time period, based on building orientation information, real-time wind direction data, and allergen concentration forecast values ​​in each grid cell of the area.

[0087] Fresh air control module 3: If there is a risk of intrusion, it closes the fresh air intake branch on the windward side and controls the air volume adjustment device to stop or reduce the introduction of fresh air from the outside, while starting the indoor air circulation filtration.

[0088] The data acquisition module 1 acquires static building attribute data, real-time meteorological dynamic data, and pollution source forecast data to form a high-precision, multi-dimensional environmental perception dataset covering spatial structure, real-time weather, and pollution diffusion trends. The risk assessment module 2, based on the above data and combined with the judgment logic of wind direction angle and continuous concentration exceeding the standard, achieves accurate identification and early warning of allergen intrusion risk, effectively avoiding misjudgments. The fresh air control module 3 constructs a collaborative defense mechanism of source blocking and internal purification by closing the windward branch, adjusting the air volume, and starting the internal circulation. Through the combination of these modules, a complete intelligent control closed loop from environmental perception and risk assessment to proactive defense is constructed. This enables the fresh air system to proactively adjust its operating strategy when the concentration of external allergens increases, effectively blocking pollutant intrusion while maintaining indoor air quality, thus improving the safety, comfort, and system operating efficiency of the indoor environment.

[0089] Specific limitations regarding the intelligent predictive fresh air system control system can be found in the context of the limitations on the intelligent predictive fresh air system control method, and will not be repeated here. Each module in the aforementioned intelligent predictive fresh air system control system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in an electronic device, or stored in the memory of the electronic device as software, so that the processor can call and execute the operations corresponding to each module. In one embodiment, an electronic device is provided, which is a user terminal. (Reference) Figure 9The electronic device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores detection data tables. The network interface allows communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a fresh air system control method based on intelligent prediction.

[0090] In one embodiment, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: S1. Obtain the building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid unit of the building area that has a fresh air system installed.

[0091] S2. Based on building orientation information, real-time wind direction data, and forecast values ​​of allergen concentrations in each grid cell of the region, determine whether there is a risk of allergens exceeding the safe level entering the building along the prevailing wind direction within a preset time period in the future.

[0092] S3. If there is a risk of intrusion, close the fresh air intake branch on the windward side and control the air volume adjustment device to stop or reduce the introduction of fresh air from the outside, while starting the indoor air circulation filter.

[0093] In one embodiment, the sub-steps of step S2 refinement include: S20. Obtain the upwind area based on the relative orientation between the building's main facade and the real-time wind direction.

[0094] S21. Obtain the predicted allergen concentration values ​​for each grid cell in the upwind area.

[0095] S22. If the predicted allergen concentration exceeds the preset risk level threshold for multiple consecutive forecast periods, and the angle between the real-time wind direction and the orientation of the main facade of the building is less than the preset angle threshold, then an intrusion risk is determined to exist.

[0096] In one embodiment, the sub-steps of step S3 refinement include: S30. Calculate the angle between the real-time wind direction and the orientation of the building's main facade.

[0097] S31. If the included angle is less than the preset orientation threshold, it is determined that the corresponding fresh air supply branch is located on the windward side.

[0098] S32. Close the air volume regulating device on the fresh air supply branch on the windward side, or reduce the opening of the air volume regulating device to the preset minimum allowable value, so as to reduce the introduction of fresh air from the windward direction.

[0099] In one embodiment, while step S3 is being performed, the following steps are also being performed: S33. In response to the risk of intrusion, the working intensity of the circulating fan and the working status of the filter components are dynamically adjusted according to the real-time monitored indoor air quality parameters to purify the indoor air.

[0100] S34. Control the exhaust duct of the fresh air system to maintain a slightly positive pressure state inside the building relative to the outside by closing or reducing the exhaust volume, so as to block the infiltration of external polluted air through building gaps.

[0101] S35. Based on the configuration information of the building's internal functional zones by the fresh air system, for functional zones marked as having a risk of pollutant release, the independent exhaust branch of the functional zone is activated and the exhaust volume is adjusted. Under the premise of ensuring that the building as a whole maintains a slightly positive pressure, the functional zone maintains a negative pressure state relative to the adjacent indoor area connected to the corresponding airflow, so as to achieve the isolation of internal pollution sources.

[0102] In one embodiment, the sub-steps of step S1 refinement include: S10. Obtain the allergy type information pre-configured by the user, and determine whether it is in the high-incidence period of the allergy type in combination with the current season. Different allergy types are associated with different seasonal high-incidence intervals.

[0103] S11. Obtain the location information of the user's mobile terminal to predict the user's arrival time at home. If the user is currently in a high-incidence period of allergies within a preset time period before the arrival time, start the fresh air system to pre-purify the indoor air.

[0104] In one embodiment, the sub-steps of step S11 include: S110. Based on the change in the connection status between the user's mobile terminal and the home network device or the geofence trigger signal, determine whether the user has entered a preset nearby area centered on the building.

[0105] S111. If a user enters a preset neighborhood centered on a building, the remaining time to reach the building is calculated based on the user's movement trend, and the remaining time is used as a preset time period before the user arrives home.

[0106] S112. If the current period is a high-incidence period for allergies, activate the fresh air system to pre-purify the indoor air during the remaining time.

[0107] S113. When starting the indoor air pre-purification operation, dynamically adjust the start time, operating air volume or filtration intensity of the pre-purification based on whether it is a high-incidence period for allergies and the risk level of allergen concentration forecast data in each unit grid of the area.

[0108] In one embodiment, the additional step after step S3 includes: S36. During the period when fresh air is not introduced from the outside, continuously monitor the real-time wind direction, the status of the windward side of the building, and the predicted values ​​of allergen concentrations in each grid unit of the building area during the monitoring period.

[0109] S37. When the forecast value of allergen concentration is lower than the preset safety threshold for multiple consecutive forecast periods, and the prevailing wind direction has deviated from the main facade of the building by a value greater than or equal to the preset angle threshold, the risk of intrusion is determined to be eliminated.

[0110] S38. In response to the risk clearance determination, restore the fresh air introduction of the fresh air intake branch on the windward side.

[0111] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0112] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

Claims

1. A fresh air system control method based on intelligent prediction, characterized in that, include: Acquire information on the orientation of buildings equipped with fresh air systems, real-time wind direction data, and forecast values ​​of allergen concentrations within each grid unit of the building area; Based on the building orientation information, real-time wind direction data, and the predicted allergen concentration values ​​in each grid cell of the region, it is determined whether there is an intrusion risk of allergens exceeding the safe level entering the building along the prevailing wind direction within a preset time period in the future. If the aforementioned intrusion risk exists, the fresh air intake branch on the windward side is closed, and the air volume regulating device is controlled to stop or reduce the introduction of fresh air from the outside, while the indoor air circulation filter is activated.

2. The method according to claim 1, characterized in that, The step of determining whether there is an intrusion risk exceeding the safe level of allergens entering the building along the prevailing wind direction within a preset time period based on the building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid cell of the region includes: Obtain the upwind area based on the relative orientation between the building's main facade and the real-time wind direction; Obtain the predicted allergen concentration values ​​for each grid cell in the upwind region; If the predicted allergen concentration exceeds the preset risk level threshold for multiple consecutive forecast periods, and the angle between the real-time wind direction and the orientation of the main facade of the building is less than the preset angle threshold, then an intrusion risk is determined to exist.

3. The method according to claim 2, characterized in that, If the intrusion risk exists, the steps of closing the fresh air intake branch on the windward side and controlling the airflow regulating device to stop or reduce the introduction of fresh air from the outside, while simultaneously activating indoor air circulation filtration, include: Calculate the angle between the real-time wind direction and the orientation of the building's main facade; If the included angle is less than the preset orientation threshold, it is determined that the corresponding fresh air supply branch is located on the windward side; The air volume regulating device on the fresh air supply branch of the windward side is closed, or the opening of the air volume regulating device is reduced to a preset minimum allowable value, so as to reduce the introduction of fresh air from the windward direction.

4. The method according to claim 1, characterized in that, If the intrusion risk exists, the steps of closing the fresh air intake branch on the windward side and controlling the airflow regulating device to stop or reduce the introduction of fresh air from the outside, while simultaneously activating the indoor air circulation filter, also include: In response to the aforementioned intrusion risk, the working intensity of the circulating fan and the working status of the filter components are dynamically adjusted based on real-time monitored indoor air quality parameters to purify the indoor air. Controlling the exhaust duct of the fresh air system, by closing or reducing the exhaust volume, maintains a slightly positive pressure state inside the building relative to the outside, thereby blocking the infiltration of polluted air from outside through building gaps; Based on the configuration information of the building's internal functional zones by the fresh air system, for functional zones marked as having a risk of pollutant release, the independent exhaust branch of the functional zone is activated and the exhaust volume is adjusted. Under the premise of ensuring that the building as a whole maintains a slightly positive pressure, the functional zone is kept in a negative pressure state relative to the adjacent indoor area connected to the corresponding airflow, so as to achieve the isolation of internal pollution sources.

5. The method according to claim 1, characterized in that, The steps for obtaining building orientation information, real-time wind direction data, and allergen concentration forecast values ​​within each grid cell of the building area equipped with a fresh air system include: The system obtains the user's pre-configured allergy type information and determines whether the user is in the peak allergy season corresponding to the current allergy type, based on the current season. Different allergy types are associated with different seasonal peak periods. The location information of the user's mobile terminal is obtained to predict the user's arrival time at home. If the current period is a high-incidence period for allergies, the fresh air system is activated to pre-purify the indoor air within a preset time period before the arrival time.

6. The method according to claim 5, characterized in that, The step of obtaining the user's mobile terminal location information to predict the user's arrival time, and activating the fresh air system for indoor air pre-purification within a preset time period before the arrival time if the current period is a high-incidence period for allergies, includes: Based on changes in the connection status between the user's mobile terminal and home network devices or geofence trigger signals, determine whether the user has entered a preset nearby area centered on the building. If a user enters a preset neighborhood centered on a building, the remaining time to reach the building is calculated based on the user's movement trend, and the remaining time is used as a preset time period before the arrival time at home. If the current period is a high-incidence period for allergies, the fresh air system will be activated to pre-purify the indoor air during the remaining time. When starting the indoor air pre-purification operation, the timing of the pre-purification start, the operating air volume or the filtration intensity are dynamically adjusted according to whether it is a high-incidence period for allergies and the risk level of the allergen concentration forecast data in each unit grid of the area.

7. The method according to claim 1, characterized in that, Following the steps of closing the fresh air intake branch on the windward side and controlling the airflow regulating device to stop or reduce the introduction of fresh air from the outside while simultaneously activating the indoor air circulation filtration if the intrusion risk exists, the method further includes: During the period when fresh air intake from the outside is stopped, real-time wind direction, the status of the windward side of the building, and the predicted allergen concentration values ​​of each grid unit in the building area are continuously monitored during the monitoring period. When the forecast value of allergen concentration is lower than the preset safety threshold for multiple consecutive forecast periods, and the prevailing wind direction has deviated from the main facade of the building by a value greater than or equal to the preset angle threshold, the risk of intrusion is determined to be eliminated. In response to the risk clearance determination, the fresh air intake of the fresh air intake branch on the windward side is restored.

8. A fresh air system control system based on intelligent prediction, characterized in that, include: Data acquisition module (1): used to acquire building orientation information, real-time wind direction data and allergen concentration forecast values ​​in each unit grid of the building area; Risk assessment module (2): is used to determine whether there is an intrusion risk of allergens exceeding the safe level and invading the building along the prevailing wind direction within a preset time period based on the building orientation information, real-time wind direction data and the predicted allergen concentration in each unit grid of the area; Fresh air control module (3): If the intrusion risk exists, it closes the fresh air intake branch on the windward side and controls the air volume adjustment device to stop or reduce the fresh air introduced from the outside, while starting the indoor air circulation filtration.

9. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as any one of the intelligent prediction-based fresh air system control methods as described in claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The system stores a computer program capable of being loaded by a processor and executing any one of the intelligent prediction-based fresh air system control methods as described in claims 1 to 7.

Images