Indoor air lake purification system and method based on layered detection and intelligent airflow control

Abstract

The invention relates to an indoor air lake purification system and method based on layered detection and intelligent airflow control. Comprising a layered detection system used for monitoring air quality parameters, temperature and humidity at different heights in real time; the intelligent control system is used for calculating density difference and pressure difference distribution of indoor air based on the data of the layered detection system and generating a control instruction according to a thermodynamic model; the airflow adjusting system is used for actively adjusting and controlling the flowing state and density distribution of indoor air; the thermodynamic driving module forms a vertical temperature difference of 3-10 DEG C and a horizontal pressure difference of 5-20 Pa by adjusting the air inlet temperature and pressure, and the natural convection effect of air is enhanced. From the perspective of the system, directional removal of pollutants is realized, the purification efficiency is remarkably improved, the energy consumption is greatly reduced, pipeline-free low-cost installation is realized, and the working modes are dynamically switched according to the activity range of personnel and seasonal change so as to create a comfortable and healthy living environment.

Description

Technical Field

[0001] The present invention relates to the technical field of indoor air purification, and in particular to an indoor air purification system and method based on layered detection and intelligent airflow control. Background Art

[0002] Existing indoor air purification technologies have significant flaws: traditional single-point detection equipment cannot accurately reflect the stratified distribution caused by differences in pollutant density (for example, light pollutants such as formaldehyde accumulate at high levels, while heavy pollutants such as toluene, xylene, and CO2 are deposited at low levels), resulting in insufficiently targeted purification strategies; traditional independent fresh air fans rely on high-energy fans for forced circulation, and the airflow organization is simple, making it difficult to adapt to complex spatial layouts; and although the duct-based air lake system can use thermal convection to improve efficiency, it has problems such as complex installation, high cost, and only applicable to commercial places. Therefore, there is an urgent need for a systematic indoor fresh air solution that can not only accurately sense the characteristics of stratified pollution, but also achieve efficient purification through intelligent airflow control and control costs. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide an indoor air lake purification system and method based on stratified detection and intelligent airflow control, so as to solve the problems in the prior art that the existing indoor single fresh air fans have single-point detection that cannot reflect the stratified distribution of pollutants, the single airflow control leads to low purification efficiency, and the traditional duct fresh air system has the problems of complex installation, high cost and narrow scope of application.

[0004] According to a first aspect of an embodiment of the present invention, an indoor air purification system based on layered detection and intelligent airflow control is provided, comprising:

[0005] A layered detection system, including at least two individual fresh air fan detection points at different heights, is used to monitor air quality parameters, temperature, and humidity at different heights in real time;

[0006] An intelligent control system for calculating the density difference and pressure difference distribution of indoor air based on the data of the stratification detection system and generating control instructions according to a thermodynamic model;

[0007] The airflow control system is used to actively regulate the flow state and density distribution of indoor air using the control instructions issued by the intelligent control system; the control range includes: adjustable wind speed, wind direction, temperature and pressure; the thermodynamic drive module is used to form a vertical temperature difference of 3-10°C and a horizontal pressure difference of 5-20Pa by adjusting the inlet air temperature and pressure, thereby enhancing the natural convection effect of the air.

[0008] Furthermore, the layered detection system includes:

[0009] The low-level detection point is set at a height of 0.2-0.5 meters from the ground and is equipped with a temperature sensor, humidity sensor, PM2.5 sensor and CO2 sensor;

[0010] The high-position detection point is set at a height of 0.5-1 meter from the ceiling and is equipped with temperature sensors, humidity sensors, formaldehyde sensors and VOC sensors;

[0011] The data analysis unit calculates the air density difference based on the temperature and humidity data at different heights. When the density difference is greater than 0.05kg / m 3 Trigger enhanced purification mode.

[0012] Furthermore, the intelligent control system includes:

[0013] A thermodynamic model calculation unit, used to calculate air density distribution based on a preset ideal gas state equation;

[0014] Pressure difference analysis unit, used to monitor the pressure difference between different areas of the room in real time and generate a pressure gradient distribution map;

[0015] The control decision unit optimizes the temperature, wind speed and wind direction parameters of the air inlet and the air outlet according to the air density distribution and the pressure gradient map.

[0016] Furthermore, the airflow regulation system includes:

[0017] The bottom air inlet unit is set at a height of 0.3-0.8 meters from the ground and is equipped with a temperature control device and diffuser vents to introduce low-temperature, high-density clean air;

[0018] The top exhaust unit is set at a height of 0.3-0.8 meters from the ceiling and is equipped with a pressure regulating device and a guide plate to discharge high-temperature, low-density polluted air;

[0019] The air duct optimization structure is used to design a stratified airflow channel that adapts to the air lake effect based on computational fluid dynamics simulation.

[0020] Furthermore, the thermodynamic driving module includes:

[0021] The temperature control unit is used to adjust the inlet air temperature to form a set temperature difference with the indoor air by using semiconductor cooling / heating technology;

[0022] The pressure regulating unit is used to create a controllable pressure difference in different areas of the room through variable frequency fan control;

[0023] The air lake formation monitoring unit is used to monitor the air stratification status and pollutant migration path in real time to ensure the formation of a stable downward and upward exhaust flow pattern.

[0024] Furthermore, the device further comprises:

[0025] Energy-saving optimization module, which is used to automatically adjust the inlet air temperature strategy to reduce thermodynamic drive energy consumption when it detects that the indoor and outdoor temperature difference is greater than the threshold;

[0026] Intelligent learning unit, used to optimize the control parameters of air lake formation based on historical operating data and purification effects;

[0027] The health mode switching unit is used to dynamically adjust the purification intensity and air refresh rate according to the number of people in the room and their activity status.

[0028] According to a second aspect of an embodiment of the present invention, a method for purifying an indoor air lake based on stratified detection and intelligent airflow control is provided, which is applied to any of the above-mentioned indoor air lake purification systems based on stratified detection and intelligent airflow control, comprising:

[0029] Preset at least two single fresh air fan detection points at different heights for real-time monitoring of air quality parameters, temperature and humidity at different heights;

[0030] Based on the air quality parameters, temperature and humidity at different heights, calculate the density difference and pressure difference distribution of the indoor air, and generate control instructions according to the thermodynamic model;

[0031] The control instructions are used to actively regulate the flow state and density distribution of indoor air; the regulation range includes: adjustable wind speed, wind direction, temperature and pressure;

[0032] By adjusting the inlet air temperature and pressure, a vertical temperature difference of 3-10°C and a horizontal pressure difference of 5-20 Pa are formed, thereby enhancing the natural convection effect of the air. The present invention has the following beneficial effects:

[0033] The present invention constructs an indoor air purification system based on the "air lake" effect. Its core is the coordinated operation of four major systems: stratified detection, intelligent control, airflow regulation, and thermodynamic drive. The stratified detection system uses low-level and high-level dual detection points to capture the spatial distribution of pollutants of different densities in real time. The intelligent control system dynamically generates precise control instructions including temperature, wind speed, and wind direction based on thermodynamic models and algorithms. The airflow regulation system forms a stable laminar "cold air lake" through the gradually expanding air duct at the bottom, and the dynamic guide plate at the top adjusts the exhaust angle based on the pollution distribution. The thermodynamic drive module uses a reasonable vertical temperature difference and an appropriate horizontal pressure difference to enhance natural convection, thereby achieving efficient airflow organization of "downward delivery and upward exhaust".

[0034] The present invention accurately senses the distribution of pollutants through layered detection, combines thermodynamic drive with intelligent control to form a stable "air lake" effect, and realizes the directional and efficient removal of pollutants of different densities. It has significantly improved purification efficiency, greatly reduced energy consumption, low installation cost and no need for complex pipelines. It can dynamically switch working modes according to human activities and seasonal changes to ensure a comfortable and healthy living environment. It is widely applicable to multiple scenarios such as residences and offices, and provides a low-cost, high-efficiency, fresh air fan-based intelligent environmental control solution for indoor air purification.

[0035] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0037] Figure 1 1 is a schematic diagram showing the composition of an indoor air purification device based on layered detection and intelligent airflow control according to an exemplary embodiment;

[0038] Figure 2 The present invention is a flow chart of an indoor air purification method based on layered detection and intelligent airflow control according to an exemplary embodiment. DETAILED DESCRIPTION

[0039] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.

[0040] Example 1

[0041] See also Figure 1 , Figure 1 The figure is a schematic diagram showing the composition of an indoor air purification device based on layered detection and intelligent airflow control according to an exemplary embodiment, wherein the device includes:

[0042] The layered detection system 10 includes at least two detection points at different heights for real-time monitoring of air quality parameters, temperature and humidity at different heights;

[0043] An intelligent control system 20 is used to calculate the density difference and pressure difference distribution of indoor air based on the data of the stratification detection system 10, and generate control instructions according to the thermodynamic model;

[0044] The airflow control system 30 is used to actively control the flow state and density distribution of indoor air using the control instructions issued by the intelligent control system 20;

[0045] The control range includes: adjustable wind speed, wind direction, temperature and pressure; the thermodynamic drive module 40 is used to adjust the inlet air temperature and pressure to form a vertical temperature difference of 3-10°C and a horizontal pressure difference of 5-20Pa, thereby enhancing the natural convection effect of the air;

[0046] The airflow adjustment system 30 is connected to the intelligent control system 20 .

[0047] In specific implementation, the indoor air purification device of the present invention realizes intelligent perception and precise control of indoor air quality through the coordinated work of four core systems. The layered detection system 10 serves as the starting point for data collection. The temperature, humidity, PM2.5 and CO2 sensors at the low-level detection point (0.2-0.5 meters from the ground) monitor the parameters of the heavy pollutant accumulation area in real time. The temperature, humidity, formaldehyde and VOC sensors at the high-level detection point (0.5-1 meter from the ceiling) synchronously collect light pollutant data. These data are transmitted to the data analysis unit to calculate the air density difference between different heights. When the density difference exceeds 0.05kg / m 3 Triggering a strengthened purification signal.

[0048] Furthermore, after the intelligent control system 20 receives the stratified detection data, the thermodynamic model calculation unit quickly generates the indoor air density field distribution based on the ideal gas state equation, and the pressure difference analysis unit constructs a pressure gradient distribution map through differential pressure sensors distributed indoors. The control decision unit combines these two sets of data and uses a preset algorithm to calculate the optimal temperature, wind speed and wind direction parameters of the air inlet and outlet.

[0049] Afterwards, the air flow regulation system 30 performs specific operations according to the control instructions. The temperature regulation device and the diffuser air outlet of the bottom air inlet unit (0.3-0.8 meters from the ground) introduce low-temperature, high-density clean air at a wind speed of 0.2-0.5m / s. The pressure regulation device and the guide plate of the top exhaust unit (0.3-0.8 meters from the ceiling) discharge high-temperature, low-density polluted air. The duct optimization structure is based on the stratified air flow channel simulated by CFD to ensure uniform distribution of airflow.

[0050] Specifically, the thermodynamic drive module 40 continues to play a role in the entire process. The temperature regulation unit maintains a vertical temperature difference of 3-10°C through semiconductor refrigeration or heating technology. The pressure regulation unit forms a horizontal pressure difference of 5-20Pa through a variable frequency fan. The air lake formation monitoring unit verifies the air stratification state and pollutant migration path in real time to ensure a stable downward and upward exhaust flow pattern. The four major systems thus form a closed-loop control to achieve efficient indoor air purification.

[0051] In practical implementation, in typical scenarios such as bedrooms, the thermodynamic drive module 40 achieves a stable "air lake" effect by precisely controlling vertical temperature and horizontal pressure differences. Assuming winter, the bottom air intake unit adjusts the fresh air temperature to 18-20°C (2-4°C lower than the indoor temperature), while the top exhaust area maintains a temperature of 23-25°C, creating a 5-7°C vertical temperature difference. This density difference, driven by the ideal gas law (PV=nRT), drives thermal buoyancy convection. Simultaneously, a variable-frequency fan creates a horizontal pressure differential of 8-15 Pa between the intake and exhaust areas, ensuring a directional "downward delivery and upward exhaust" airflow path. The air lake formation monitoring unit verifies this in real time using infrared thermal imaging and a laser particle counter, ensuring a stable vertical temperature gradient of 3-8°C / m². Pollutants such as PM2.5 are efficiently expelled through thermal convection. In summer, reverse temperature control is employed, leveraging the temperature difference between the incoming air and the indoor air conditioning system to maintain thermal buoyancy drive and prevent the cold air from sinking and becoming ineffective.

[0052] In practice, the intelligent learning unit leverages an LSTM model to optimize the formation process of air lakes. The model's input parameters are designed to encompass a multi-dimensional data system. By integrating historical temperature and humidity data, the dynamic changes in CO2 and formaldehyde concentrations, patterns of human activity captured by human scattered wave sensors, and meteorological parameters such as outdoor temperature, humidity, and air pressure, the model constructs an input dataset encompassing both indoor and outdoor environmental characteristics, providing a rich set of feature dimensions for model prediction.

[0053] At the level of prediction and control logic, the LSTM model demonstrates scenario-based intelligent response capabilities. For nighttime unmanned office scenarios, the model predicts rising CO2 concentrations based on historical data on staff departure times and initiates low-speed purification mode in advance, maintaining a low ventilation rate to maintain a baseline indoor air refresh rate and avoid energy waste. When detecting a sudden increase in the density of people in a meeting, the model analyzes the correlation between staff activity intensity and pollutant release, predicts the time interval for the CO2 peak, and dynamically adjusts the inlet air temperature and wind speed to create an airflow organization plan suitable for crowded environments, ensuring that indoor pollutant concentrations remain within healthy thresholds. To address seasonal differences in the outdoor environment, the model automatically triggers the inlet air preheating mechanism during low-temperature periods in winter. By regulating the fresh air temperature, it prevents cold air from sinking and damaging the air lake structure, maintaining a stable thermal convection effect.

[0054] During model training and deployment, the LSTM model was trained using the MATLAB / Simulink platform. A training set was constructed using historical data collected over a long period of time. A multi-layer neural network structure was used to learn the mapping relationship between indoor and outdoor environmental parameters and the state of the air lake. The trained model demonstrated high accuracy on the validation set. To meet real-time control requirements, the model was quantized into a lightweight version and deployed on a RISC-V chip. This enables low-latency inference response to indoor environmental changes, ensuring that the intelligent control system 20 can promptly adjust key parameters of air lake formation based on real-time data, improving the timeliness and accuracy of the purification strategy.

[0055] During implementation, the airflow conditioning system 30 optimizes the duct structure through computational fluid dynamics (CFD) simulation to improve the uniformity of airflow organization and purification efficiency. The bottom air inlet unit adopts a gradually expanding duct structure. By gradually increasing the duct cross-sectional area, the velocity of fresh air entering the room is reduced and a stable laminar flow is formed, avoiding the airflow disturbance caused by uneven flow velocity in traditional straight ducts. Simulation results show that this design can significantly improve the uniformity of wind speed near the ground, effectively reducing airflow dead spots, and laying the foundation for the stable formation of the "air lake" effect.

[0056] The top exhaust unit is equipped with a dynamically adjustable deflector, whose angle adjusts in real time based on the spatial distribution of indoor pollutants. When pollutant concentrations are detected in high-level areas, the deflector automatically adjusts its angle to enhance the top suction effect and accelerate the removal of light pollutants. If pollutant concentrations increase in low-level areas, the deflector angle is adjusted to expand the exhaust coverage area, specifically removing heavy pollutants, achieving efficient, stratified purification of pollutants of varying densities.

[0057] In practice, the energy-saving optimization module dynamically senses the differences between indoor and outdoor environments and intelligently switches operating modes to reduce system energy consumption. When the temperature difference between indoor and outdoor reaches a certain threshold, the system automatically activates "Natural Assist Mode." In winter, it preheats fresh air using indoor heat sources such as floor heating, reducing artificial heating energy consumption. In summer, it prioritizes the introduction of low-enthalpy outdoor air based on enthalpy difference calculations, reducing air conditioning load. This synergistic effect of natural energy and mechanical purification significantly reduces overall energy consumption.

[0058] The health mode switching unit provides refined purification solutions tailored to the needs of users and the indoor environment at different times of day. During nighttime rest periods, the system automatically enters sleep mode, operating at a low speed to reduce noise while maintaining a reasonable indoor temperature difference, ensuring a balance between air renewal efficiency and comfort. If excessive particulate matter concentration is detected in the air, allergy mode is immediately triggered, activating the high-efficiency filtration device, increasing the wind speed, and simultaneously activating the sterilization function, rapidly improving indoor air quality and meeting the needs of sensitive individuals for a clean environment. Through multi-mode collaboration, the system achieves a dynamic balance between energy conservation and health protection, enhancing the user experience.

[0059] Specifically, this invention breaks through the bottleneck of traditional technology and demonstrates multi-dimensional innovative advantages: First, accuracy. Based on the stratified characteristics of pollutants of different densities, the purification efficiency is significantly improved compared with traditional single-point detection equipment; second, high efficiency and low consumption. Natural convection drive greatly reduces energy consumption, continuous operation energy consumption is at a low level, and airflow uniformity is significantly improved; third, low-cost adaptation. The ductless single fresh air fan design makes the installation cost significantly lower than the traditional duct system, suitable for multi-scenario deployment; fourth, intelligent scenario. The model combines personnel activities and seasonal changes, automatically switches between multiple working modes, and takes into account comfort and health needs.

[0060] In practical applications, in a typical bedroom setting, the system maintains appropriate temperature and pressure differentials at night, stabilizing pollutant concentrations within a healthy range and keeping noise levels low. In office settings, multi-device collaboration can rapidly reduce pollutant concentrations and eliminate dead zones. Experimental data demonstrates efficient purification of all types of pollutants, significantly outperforming traditional single-point purification devices and ducted fresh air systems in comprehensive evaluations.

[0061] This technology, through its closed-loop logic of "detection-prediction-control-purification," reshapes the paradigm of indoor air purification: from passive response to pollution to active predictive intervention, from reliance on energy-intensive mechanical ventilation to a synergistic combination of natural convection and mechanical regulation, and from complex engineering installation to a universal, ready-to-use design. Its innovative mechanisms and intelligent strategies not only provide efficient and healthy air purification solutions for multiple scenarios, but also drive innovation in indoor purification technology towards low cost, low energy consumption, and high adaptability, promising broad market applications and environmental benefits.

[0062] For specific implementation, please refer to Figure 2 , Figure 2 The present invention is a flow chart illustrating a method for indoor air purification based on layered detection and intelligent airflow control according to an exemplary embodiment. The method includes:

[0063] S1. Preset at least two single fresh air fan detection points at different heights for real-time monitoring of air quality parameters, temperature, and humidity at different heights;

[0064] S2. The air quality parameters, temperature and humidity at different heights, calculate the density difference and pressure difference distribution of the indoor air, and generate control instructions based on the thermodynamic model;

[0065] S3. Using the control instructions, actively regulate the flow state and density distribution of indoor air; the control range includes: adjustable wind speed, wind direction, temperature and pressure;

[0066] S4. By adjusting the inlet air temperature and pressure, a vertical temperature difference of 3-10°C and a horizontal pressure difference of 5-20Pa are formed to enhance the natural convection effect of the air.

[0067] In specific implementation, the method involves presetting monitoring parameters at high and low detection points, calculating density and pressure differences, and generating instructions to control airflow conditions, creating temperature and pressure differentials that enhance convection. This system and method precisely captures the stratified distribution of pollutants, combining intelligent control with thermodynamic drive to create an "air lake" effect, achieving targeted and efficient purification. This improves purification efficiency while significantly reducing energy consumption. It also eliminates the need for complex piping, offers low installation costs, and can dynamically switch modes based on human activity and seasons, making it suitable for multiple scenarios.

[0068] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0069] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" is at least two.

[0070] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0071] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0072] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0073] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0074] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0075] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0076] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. An indoor air lake purification system based on layered detection and intelligent airflow control, characterized in that: include: A layered detection system, including at least two individual fresh air fan detection points at different heights, is used to monitor air quality parameters, temperature, and humidity at different heights in real time; An intelligent control system for calculating the density difference and pressure difference distribution of indoor air based on the data of the stratification detection system and generating control instructions according to a thermodynamic model; Airflow control system, which is used to actively regulate the flow state and density distribution of indoor air using control instructions issued by the intelligent control system; The control range includes: adjustable wind speed, wind direction, temperature and pressure; The thermodynamic drive module is used to adjust the inlet air temperature and pressure to form a vertical temperature difference of 3-10°C and a horizontal pressure difference of 5-20Pa, thereby enhancing the natural convection effect of the air.

2. The indoor air purification system based on layered detection and intelligent airflow control according to claim 1 is characterized in that: The layered detection system comprises: The low-level detection point is set at a height of 0.2-0.5 meters from the ground and is equipped with a temperature sensor, humidity sensor, PM2.5 sensor and CO2 sensor; The high-position detection point is set at a height of 0.5-1 meter from the ceiling and is equipped with temperature sensors, humidity sensors, formaldehyde sensors and VOC sensors; The data analysis unit calculates the air density difference based on the temperature and humidity data at different heights. When the density difference is greater than 0.05kg / m 3 Trigger enhanced purification mode.

3. The indoor air purification system based on layered detection and intelligent airflow control according to claim 1 is characterized in that: The intelligent control system comprises: A thermodynamic model calculation unit, used to calculate air density distribution based on a preset ideal gas state equation; Pressure difference analysis unit, used to monitor the pressure difference between different areas of the room in real time and generate a pressure gradient distribution map; The control decision unit optimizes the temperature, wind speed and wind direction parameters of the air inlet and the air outlet according to the air density distribution and the pressure gradient map.

4. The indoor air purification system based on layered detection and intelligent airflow control according to claim 1 is characterized in that: The airflow regulation system comprises: The bottom air inlet unit is set at a height of 0.3-0.8 meters from the ground and is equipped with a temperature control device and diffuser vents to introduce low-temperature, high-density clean air; The top exhaust unit is set at a height of 0.3-0.8 meters from the ceiling and is equipped with a pressure regulating device and a guide plate to discharge high-temperature, low-density polluted air; The air duct optimization structure is used to design a stratified airflow channel that adapts to the air lake effect based on computational fluid dynamics simulation.

5. The indoor air purification system based on layered detection and intelligent airflow control according to claim 1 is characterized in that: The thermodynamic driving module includes: The temperature control unit is used to adjust the inlet air temperature to form a set temperature difference with the indoor air by using semiconductor cooling / heating technology; The pressure regulating unit is used to create a controllable pressure difference in different areas of the room through variable frequency fan control; The air lake formation monitoring unit is used to monitor the air stratification status and pollutant migration path in real time to ensure the formation of a stable downward and upward exhaust flow pattern.

6. The indoor air purification system based on layered detection and intelligent airflow control according to claim 1 is characterized in that: The device further comprises: Energy-saving optimization module, which is used to automatically adjust the inlet air temperature strategy to reduce thermodynamic drive energy consumption when it detects that the indoor and outdoor temperature difference is greater than the threshold; Intelligent learning unit, used to optimize the control parameters of air lake formation based on historical operating data and purification effects; The health mode switching unit is used to dynamically adjust the purification intensity and air refresh rate according to the number of people in the room and their activity status.

7. A method for purifying indoor air lakes based on stratified detection and intelligent airflow control, applied to an indoor air lake purification system based on stratified detection and intelligent airflow control as claimed in any one of claims 1 to 6, characterized in that: include: Preset at least two detection points at different heights for real-time monitoring of air quality parameters, temperature and humidity at different heights; Based on the air quality parameters, temperature and humidity at different heights, calculate the density difference and pressure difference distribution of the indoor air, and generate control instructions according to the thermodynamic model; Using the control instructions, the flow state and density distribution of indoor air are actively regulated; The control range includes: adjustable wind speed, wind direction, temperature and pressure; By adjusting the inlet air temperature and pressure, a vertical temperature difference of 3-10°C and a horizontal pressure difference of 5-20Pa are formed, thereby enhancing the natural convection effect of the air.

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