Air purification and peculiar smell removal equipment

Abstract

The invention provides air purification and peculiar smell removal equipment, and relates to the technical field of air purification and peculiar smell removal, and the equipment is characterized in that in response to peculiar smell substances detected by any peculiar smell sensor, an air inlet module and an air outlet module on each side face are controlled to operate at a first preset air volume for a first preset time period; obtaining the peculiar smell substance concentration detected by the peculiar smell sensor on each side surface in a first preset time period, so as to obtain a peculiar smell substance concentration matrix corresponding to each side surface; determining the side surface corresponding to the peculiar smell substance concentration matrix of which the average peculiar smell substance concentration in each column in the peculiar smell substance concentration matrix is in a rising trend according to the detection time sequence as a target side surface; the air inlet amount of the air inlet module corresponding to the target side face is increased, and the air outlet amount of the air outlet module corresponding to the target side face is decreased; the purification efficiency and the adsorption rate of peculiar smell substances in air can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air purification and deodorization, in particular to an air purification and deodorization device. Background Art

[0002] In the field of air purification and odor removal, existing air purification and odor removal equipment usually adopts an integrated air intake and exhaust design, which makes it difficult to accurately and efficiently treat odor substances with different directions and different concentration change trends. Traditional equipment often lacks the ability to accurately identify the source direction and concentration dynamic changes of odor substances, and cannot flexibly adjust the air intake and outlet parameters on each side according to the actual odor distribution. For example, when odor substances continue to diffuse from a certain side direction of the equipment, the existing equipment may not be targeted and optimized for the air intake and exhaust in that specific direction, resulting in low odor substance adsorption efficiency, which not only affects the purification effect, but may also cause energy waste. Therefore, how to accurately determine the direction that needs to be treated based on the concentration change trend of the odor substances detected by the odor sensor, and how to improve the adsorption efficiency of odor substances by adjusting the air intake and outlet status of the corresponding side has become a technical problem that needs to be solved urgently. Summary of the Invention

[0003] In view of the above technical problems, the technical solution adopted by the present invention is: According to the present application, an air purification and deodorization device is provided, the device comprising: an odor adsorption module, a plurality of side surfaces arranged around the odor adsorption module, and a purification control module, each side surface being provided with an air inlet module, an air outlet module, and an odor sensor module; the air inlet module is used to draw air into the odor adsorption module to adsorb odorous substances, and the air outlet module is used to discharge the purified air; each odor sensor module comprises a plurality of odor sensors arranged in an array; the purification control module is communicatively connected with the air inlet module, the air outlet module, and the odor sensor module; The purification control module is used to control the working status of the air inlet module and the air outlet module according to the data collected by the odor sensor module; the purification control module is used to perform the following steps: S100, in response to any odor sensor detecting an odorous substance, controlling the air inlet module and the air outlet module on each side to operate at a first preset air volume for a first preset time period; S200, obtaining the concentrations of odor substances detected by the odor sensors on each side within a first preset time period to obtain an odor substance concentration matrix corresponding to each side; the odor substance concentration matrix includes a plurality of rows and a plurality of columns, each row including the concentrations of odor substances detected by the same odor sensor at different detection times, and each column including the concentrations of odor substances detected by different odor sensors at the same detection time; S300, determining the side corresponding to the odor substance concentration matrix in which the average odor substance concentration of each column in the odor substance concentration matrix shows an increasing trend according to the detection time sequence as the target side; S400: Increase the air intake volume of the air intake module corresponding to the target side, and decrease the air outlet volume of the air outlet module corresponding to the target side.

[0004] The present invention has at least the following beneficial effects: The air purification and odor removal equipment of the present invention achieves accurate positioning and efficient purification of odor substances through the steps of global initialization operation, construction of concentration matrix, positioning of target side and directional air volume adjustment. When an odor is detected, the device first operates with a uniform air volume to establish baseline data, then analyzes the spatiotemporal changes in the odor concentration through the concentration matrix, accurately identifies the target side where the odor continues to flow in, and finally executes the strategy of increasing air intake and reducing air outlet on the target side. This process can not only effectively distinguish between accidental fluctuations and continuous pollution through the time series analysis of the concentration matrix to avoid misjudgment; it can also dynamically optimize the airflow path in the direction of the source, so that the odor substances can more fully contact the adsorption module, thereby improving the purification efficiency and adsorption rate; at the same time, the initial global operation is combined with the subsequent directional adjustment to achieve global to local coordinated control, balance the response speed and processing accuracy, and effectively improve the overall performance of the air purification and odor removal equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0005] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0006] Figure 1 A schematic structural diagram of one side of an air purification and deodorization device provided by an embodiment of the present invention; Figure 2 A flowchart of the steps performed by the purification control module according to an embodiment of the present invention; Explanation of symbols: 100. Odor sensor module, 110. Odor sensor, 200. Air inlet module, 210. Air inlet, 300. Air outlet module, 310. Air outlet. DETAILED DESCRIPTION

[0007] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0008] It should be noted that, based on this disclosure, those skilled in the art will appreciate that an aspect described herein can be implemented independently of any other aspect, and that two or more of these aspects can be combined in various ways. For example, any number of the aspects described herein can be used to implement an apparatus and / or practice a method. In addition, other structures and / or functionalities other than one or more of the aspects described herein can be used to implement such an apparatus and / or practice such a method.

[0009] The following is an introduction to an air purification and deodorization device, which includes: an odor substance adsorption module, several side surfaces arranged around the odor substance adsorption module, and a purification control module, such as Figure 1 The figure shows a structural diagram of one side of the device. The other sides have the same structural arrangement as this side. Each side is provided with an air inlet module 200, an air outlet module 300 and an odor sensor module 100; the air inlet module 200 is used to inhale air into the odor substance adsorption module to adsorb the odor substance, and the air outlet module 300 is used to discharge the purified air; each odor sensor module 100 includes a plurality of odor sensors 110 arranged in an array; the purification control module is communicatively connected with the air inlet module 200, the air outlet module 300 and the odor sensor module 100.

[0010] In this embodiment, the odor sensor can be selected according to the actual substance to be purified. For example, if it is necessary to purify the smoke emitted by indoor smokers, the odor sensor can be selected as a laser particle sensor to detect the concentration of the smoke; if it is necessary to purify substances such as formaldehyde and VOCs, corresponding sensors can be selected; the relative position relationship between the air inlet module 200 and the air outlet module 300 can be adjusted according to specific environmental factors, which is not limited here; the odor substance adsorption module can include the following types: Activated carbon adsorption modules utilize the rich microporous structure and strong van der Waals forces of activated carbon to physically adsorb formaldehyde, benzene, and other odorous gas molecules. Coconut shell activated carbon modules, for example, are highly efficient at adsorbing organic odors, are low-cost, and are easily replaceable, making them commonly used in home air purifiers.

[0011] Molecular sieve adsorption modules: Made from aluminosilicate crystals, these modules possess a uniform microporous structure and select adsorbed substances based on molecular size and polarity. For example, 4A molecular sieves preferentially adsorb water molecules, while 5A molecular sieves have excellent adsorption properties for normal alkanes and small odor molecules. They are commonly used for deep purification of industrial gases and odor treatment in high-humidity environments.

[0012] Chemical adsorption module: uses loaded adsorbents, such as alumina loaded with potassium permanganate, to oxidize odorous substances such as hydrogen sulfide into harmless substances through chemical reactions; or uses amine-based materials to neutralize acidic gases such as sulfur dioxide. It is suitable for treating specific chemical odors, and the purification effect is thorough and irreversible.

[0013] Bio-enzyme adsorption module: Utilizes the catalytic decomposition properties of bio-enzymes, such as proteases and lipases, to decompose odor molecules, such as food spoilage odors and pet odors, into carbon dioxide and water. This is green and environmentally friendly with no secondary pollution, and is commonly used in kitchens, pet spaces, and other scenarios.

[0014] Photocatalytic adsorption modules: Based on semiconductor materials such as titanium dioxide, they generate hydroxyl radicals and superoxide anions under ultraviolet light, oxidizing and decomposing odorous substances such as formaldehyde and VOCs into harmless small molecules. Nano-scale titanium dioxide photocatalytic modules, for example, are recyclable and highly efficient, and are often used in combination with activated carbon.

[0015] The purification control module is used to control the working state of the air inlet module 200 and the air outlet module 300 according to the data collected by the odor sensor module 100; the purification control module is used to perform the following steps, such as Figure 2 As shown: S100 , in response to any odor sensor detecting an odorous substance, controlling the air inlet module and the air outlet module on each side to operate at a first preset air volume for a first preset time period.

[0016] In this embodiment, the odor sensor detects odor substances in the indoor air in real time. For example, the odor sensor is a laser particle sensor, and the odor substance is smoke. When it is detected that the concentration of the odor substance in the room is greater than a preset minimum concentration threshold, the air inlet modules and air outlet modules on all sides are controlled to operate at a uniform first preset air volume, such as 500m³ / h, for a first preset time period, such as 10 seconds. Through global uniform air intake, baseline data of odor concentration on each side is quickly established to provide initial samples for subsequent directional analysis.

[0017] S200, obtaining the concentration of odor substances detected by the odor sensor on each side within a first preset time period to obtain an odor substance concentration matrix corresponding to each side; the odor substance concentration matrix includes a plurality of rows and a plurality of columns, each row includes the concentration of odor substances detected by the same odor sensor at different detection times, and each column includes the concentration of odor substances detected by different odor sensors at the same detection time.

[0018] In this embodiment, the first preset time period can range from 5 seconds to 20 seconds. The odor sensor data of each side within the first preset time period is collected, and an odor substance concentration matrix is formed for each side. The rows in the matrix represent the time series data of a single sensor, such as 1 detection per second, 10 seconds of detection, and a total of 10 columns. The columns represent the spatial distribution data of all sensors at the same time. For example, if 4 sensors are arranged on a side, each column contains 4 concentration values. This matrix realizes the spatiotemporal two-dimensional modeling of odor concentration, providing a data basis for trend analysis. S300, the side corresponding to the odor substance concentration matrix whose average odor substance concentration in each column shows an upward trend according to the detection time sequence is determined as the target side.

[0019] Calculate the average concentration for each column—the average concentration across all sensors at the same moment. If this average sequence shows an upward trend over the detection time series, the side is considered the target side. An upward trend indicates a continuous influx of odor from that direction, indicating it is the source of contamination or the primary diffusion path.

[0020] Furthermore, step S300 may include the following steps: S310, obtaining the odor substance concentration matrix corresponding to each side, to obtain an odor substance concentration matrix list A = (A1, A2, ..., A i ,…,A n ), i=1, 2,…, n; A i is the odor substance concentration matrix corresponding to the i-th side, and n is the number of sides.

[0021] The odor substance concentration matrices of n sides are stored in a list to obtain A. Each odor substance concentration matrix corresponds to the spatiotemporal odor concentration data of one side. For example, if n=4, it means that the device is a cube with four sides: front, back, left, and right.

[0022] S320, get A i The first average odorant concentration in each column is used to obtain A i Corresponding first average odor substance concentration list B i =(B i，1 , B i，2 ,…,B i，j ,…,B i，m ), j = 1, 2, …, m; B i，j A iThe first average odor substance concentration corresponding to the jth column in , m is the number of detection moments in the first preset time period; the detection moment of the rth column is earlier than the detection moment of the r+1th column; r=1, 2,…, m-1.

[0023] For the i-th odor concentration matrix A i , calculate each column, that is, the average concentration at the same time, and generate the first average concentration list B i , m is the number of detection moments, such as m=10 corresponds to 10 detection moments. For example, B i，1 is the average concentration of the ith side at the first second, B i，2 is the average concentration at the 2nd second, and so on.

[0024] S330, according to B i , determine B i The difference between the two adjacent first average odor substance concentrations in B i Corresponding first average odor substance concentration difference list ΔB i =(ΔB i，1 , ΔB i，2 ,…,ΔB i，r ,…,ΔB i，m-1 ); concentration difference ΔB i，r B i，r With B i，r+1 The difference between i，r =B i，r+1 -B i，r .

[0025] Calculate the concentration difference between adjacent moments and generate a difference list. The first average odor substance concentration difference list ΔB i ; ΔB i A positive difference indicates that the concentration at the corresponding moment is increasing, and a negative difference indicates that the concentration is decreasing.

[0026] S340, if NUM i / (m-1)>η, then the i-th side is determined as the target side; otherwise, the i-th side is determined as the pending side; NUM i ΔB i The number of concentration differences greater than 0, η is the first preset weight.

[0027] Statistical ΔB i The number of positive values NUM i , if NUM i / (m-1)>η, where η is the first preset weight. For example, η=0.6 indicates that the concentration of this aspect is on an upward trend for more than 60% of the time interval, and it is determined to be the target aspect; otherwise, it is an undetermined aspect, such as a side with fluctuating or decreasing concentration.

[0028] The above steps have at least the following beneficial effects: 1. Anti-noise interference: Replace the single moment threshold with the difference ratio judgment to filter out occasional noise, such as concentration fluctuations caused by instantaneous airflow disturbances.

[0029] 2. Quantifying trend intensity: The weight η can be adjusted based on the scenario. For example, η = 0.7 for the kitchen scenario and η = 0.5 for the bedroom scenario to adapt to different pollution dynamics.

[0030] 3. Distributed data processing: Each side performs independent calculations, supporting modular expansion of the device. For example, when the number of sides is increased to 6, the algorithm complexity does not increase significantly with the hardware scale.

[0031] S400: Increase the air intake volume of the air intake module corresponding to the target side, and decrease the air outlet volume of the air outlet module corresponding to the target side.

[0032] On the target side, the strategy of increasing air intake and reducing air outlet is implemented. The air intake volume is increased to enhance the suction of polluted air, such as increasing it from 500m³ / h to 800m³ / h, and the air outlet volume is reduced to form local negative pressure to accurately absorb odors at the source.

[0033] Furthermore, step S400 may include the following steps: S410, according to ΔB i , determine the characteristic vector XL of the odor substance concentration change corresponding to the i-th side i =(QB i , μ, ΔB i );QB i ΔB i The corresponding average difference; μ is the first preset air volume.

[0034] In this embodiment, the concentration variation feature vector XL of the target side is extracted. i , including: QB i :ΔB i The average difference reflects the concentration increase rate, such as an average increase of 5ppm per second; μ: the first preset air volume, the initial reference air volume, used for normalization; ΔB i : Complete difference sequence, retaining timing information.

[0035] S420, XL i The data is input into a preset air volume adjustment prediction model to obtain the air volume Δμ1 adjusted up by the air inlet module and the air volume Δμ2 adjusted down by the air outlet module on the target side.

[0036] XL iThis is input into a preset air volume adjustment prediction model, which can be an LSTM model (a long short-term memory network), which excels at processing time series data. The output is a large inlet air adjustment value Δμ1 and a small outlet air adjustment value Δμ2. The model is trained using historical data to learn the optimal air volume adjustment strategy for different concentration change patterns, such as a larger Δμ1 corresponding to a rapid upward trend. It should be noted that those skilled in the art can use existing model training methods to train the initial LSTM model according to actual needs to obtain the preset air volume adjustment prediction model, and this will not be elaborated here.

[0037] S430: Increase the air intake volume of the air intake module corresponding to the target side by Δμ1, and decrease the air outlet volume of the air outlet module corresponding to the target side by Δμ2.

[0038] The inlet and outlet air volumes on the target side are dynamically modified according to the prediction results, such as Δμ1=300m³ / h, Δμ2=200m³ / h, to achieve nonlinear mapping from the change trend to the adjustment amount.

[0039] The above steps have at least the following beneficial effects: 1. Adaptive dynamic control: Get rid of fixed ratio adjustment and intelligently match the air volume according to the concentration change rate, such as significantly increasing the air intake when high concentration pollution occurs.

[0040] 2. Energy consumption optimization: The LSTM model can balance purification effect and energy consumption, avoiding excessive adjustments. For example, small adjustments are used for slowly rising trends.

[0041] 3. Improved robustness: The model has strong generalization capabilities and can adapt to various odor types, such as the concentration variations of cigarette smoke and pet odors.

[0042] Furthermore, after step S430, the following steps may be further included: S440: Reduce the air intake volume of the air intake module corresponding to the side to be determined, and increase the air outlet volume of the air outlet module corresponding to the side to be determined.

[0043] For non-target sides, that is, the sides to be determined, and the sides where the concentration has no significant upward trend, the strategy of reducing air intake and increasing air output is implemented, such as reducing the air intake volume to reduce invalid air intake, and increasing the air output volume to speed up the discharge of purified air to form a global airflow balance.

[0044] Through the above steps, energy waste in non-pollution directions is avoided and the overall power consumption of the equipment is reduced; global airflow organization is optimized, through strong suction on the target side and fast discharge on the pending side, a directional airflow field is formed around the equipment, guiding the odor to converge on the adsorption module; multi-task parallel processing supports simultaneous processing of multiple target sides. For example, when both the left and right sides are pollution sources, forward adjustments are performed on each side, and reverse adjustments are performed on other sides.

[0045] In this embodiment, through the time series analysis of the concentration matrix, accidental fluctuations and continuous pollution are distinguished to avoid misjudgment; the airflow path is dynamically optimized, the suction is enhanced and the exhaust is slowed down in the direction of the source, so that odor substances can more fully contact the adsorption module, thereby improving the purification efficiency; global to local coordinated control, the initial global operation is fast to respond, and the subsequent directional adjustment focuses on the key points, balancing the response speed and processing accuracy.

[0046] Further, such as Figure 1 As shown, the air inlet module 200 includes a plurality of air inlets 210 arranged in an array, and the air outlet module 300 includes a plurality of air outlets 310 arranged in an array. The air volume of each air inlet 210 and each air outlet 310 can be controlled by the purification control module.

[0047] After step S400, the following steps may also be included: S500, obtaining the odor substance concentration matrix WA corresponding to the target side and the odor substance concentration matrices WB and WC of the two side surfaces adjacent to the target side surface.

[0048] Obtain the concentration matrices WA, WB, and WC of the target side, such as the left side, and its adjacent sides, such as the front and rear sides, and splice them into a global matrix WD according to their spatial positions, retaining the physical order of the sensors on the device surface, such as sensors 1-4 on the left side, 5-8 on the front side, and 9-12 on the rear side.

[0049] S510. According to the positional relationship between the target side and the two adjacent side surfaces, WA, WB, and WC are spliced together to obtain a spliced odor substance concentration matrix WD. WD includes several rows and several columns, where each row includes the odor substance concentrations detected by the same odor sensor at different detection times, and each column includes the odor substance concentrations detected by different odor sensors at the same detection time. The order of the odor sensors in WD is the same as their positional order on the side surfaces.

[0050] S520, obtaining the second average odor substance concentration corresponding to each row in WD to obtain a second average odor substance concentration list PD = (PD1, PD2, ..., PD u ,…,PD v ), u=1, 2,…, v; PD u is the second average odor substance concentration corresponding to the u-th row in WD, and v is the number of odor sensors contained in the target side and the two sides adjacent to the target measurement.

[0051] Calculate the average concentration of each row in WD, that is, the time series of a single sensor, to generate a second average concentration list PD, which reflects the average concentration of each sensor during the detection period. For example, the average concentration of sensor 3 is 25 ppm, and the average concentration of sensor 7 is 15 ppm.

[0052] S530: Determine a target air inlet and a target air outlet from the air inlets and air outlets corresponding to the target side and the air inlets and air outlets corresponding to two side surfaces adjacent to the target side surface according to the PD.

[0053] Furthermore, step S530 may include the following steps: S531, obtaining the difference between two adjacent second average odor substance concentrations in PD to obtain a second average odor substance concentration difference list FD = (FD1, FD2, ..., FD x ,…,FD v-1 ), x=1, 2,..., v-1; FD x For PD x With PD x+1 The difference between x =PD x+1 -PD x .

[0054] This step generates a list (FD) by calculating the difference between two adjacent concentration values in the second average odorant concentration list (PD). For example, FD1 = PD2 - PD1 represents the difference between the average concentration of the second sensor and the average concentration of the first sensor. This operation converts the change in the average concentration of each sensor during the detection cycle into a quantified sequence of differences, visually demonstrating the differences in concentration changes between sensors and laying the data foundation for subsequent precise location of areas with significant concentration changes.

[0055] S532, traverse FD, if FD x >ω, then PD x The corresponding odor sensor determines the first designated odor sensor; ω is a preset second average odor substance concentration difference threshold.

[0056] Traverse the FD list and when a difference FD is found x When it is greater than the preset threshold ω, it indicates that the corresponding PD x If the odor concentration detected by a sensor increases significantly at adjacent moments, the sensor is identified as the first designated odor sensor. ω can be obtained by analyzing a large amount of historical data.

[0057] By setting threshold screening, sensors with rapidly increasing odor concentrations, that is, areas with a clear upward trend in odor concentrations, can be effectively identified, thereby locking in sensors that may be the source of odor or the key path for odor transmission.

[0058] S533, if FD x <-ω, then PD x The corresponding odor sensor determines the second designated odor sensor.

[0059] Similar to step S532, when FD x When it is less than -ω, it indicates the corresponding PD x If the odor concentration detected by a sensor decreases significantly between successive moments, it is identified as the second designated odor sensor. This sensor may correspond to an area with reduced odor diffusion or a high purification effect. By simultaneously identifying sensors with significant upward and downward trends, a complete picture of odor concentration changes around the device can be constructed.

[0060] S534, draw a first perpendicular line CX1 from the position of the first designated odor sensor to the central axis of the device, and draw a second perpendicular line CX2 from the position of the second designated odor sensor to the central axis of the device.

[0061] Draw a first perpendicular line CX1 from the first designated odor sensor to the center axis of the equipment, and a second perpendicular line CX2 from the second designated odor sensor to the center axis of the equipment. These two perpendicular lines, with the center axis of the equipment as the reference, clarify the relative position of the two key sensors from a geometric perspective, providing a spatial reference for the subsequent delineation of the target air outlet area.

[0062] S535 : Determine the air inlet within the angle range between CX1 and CX2 as the target air inlet, and determine the air outlet within the angle range between CX1 and CX2 as the target air outlet.

[0063] Based on the angle formed by CX1 and CX2, the air inlet within this angle range is identified as the target inlet, and the air outlet as the target outlet. Because this angle area is likely to be where odor concentration fluctuates dramatically, increasing the air volume at the target inlet can more efficiently absorb polluted air in that area; decreasing the air volume at the target outlet can extend the time polluted air stays in the adsorption module, thereby achieving precise purification of specific polluted areas.

[0064] Through the above steps, a complete process is achieved, from analyzing the differences in sensor concentration data, to defining the spatial position relationship, and finally accurately positioning the target air outlet. Its beneficial effects are significant: on the one hand, the in-depth development from "side-level" control to "air outlet-level" refined control greatly improves the targeted purification of local pollution sources and significantly enhances the purification effect; on the other hand, the air volume of the air outlet is precisely adjusted based on the actual concentration changes, avoiding indiscriminate adjustment of all air outlets, effectively reducing energy waste and achieving energy consumption optimization; in addition, this collaborative control strategy based on spatial position and concentration changes can better cope with complex odor distribution scenarios and enhance the adaptability and purification stability of the equipment in various environments.

[0065] S540: Increase the air flow rate of the target air inlet and decrease the air flow rate of the target air outlet.

[0066] In this embodiment, a fixed air volume adjustment ratio can be set for the target air inlet and air outlet based on a fixed ratio adjustment. For example, the air volume adjustment ratio of the target air inlet is set to 20%, and the air volume reduction ratio of the target air outlet is set to 30%. If the original air volume of the target air inlet is 500m³ / h, the air volume after adjustment is 500×(1+20%)=600m³ / h; if the original air volume of the target air outlet is 400m³ / h, the air volume after adjustment is 400m³ / h. The air volume after adjustment is 400×(1-30%)=280m³ / h. This method is simple and direct, easy to implement, and suitable for scenarios where the control accuracy requirements are not particularly high and the odor pollution situation is relatively stable. It can quickly adjust the air volume of the target area to enhance purification.

[0067] In addition, the above-mentioned embodiment can also be adjusted by using a model. This method can adjust the air volume more accurately and intelligently according to the actual pollution situation and environmental changes. In a complex and changeable odor pollution environment, it can effectively improve the purification effect and optimize energy consumption.

[0068] Furthermore, after the actual adjustment, the purification effect and odor concentration changes can continue to be monitored in real time through the odor sensor. If the expected purification target is not achieved, the air volume can be adjusted again to form a closed-loop control to continuously optimize the working efficiency of the air purification and odor removal equipment.

[0069] In this embodiment, accurate positioning and efficient purification of odor substances are achieved through the steps of global initialization operation, construction of concentration matrix, positioning of target side, and directional air volume adjustment. When an odor is detected, the device first operates with a uniform air volume to establish baseline data, and then analyzes the spatiotemporal changes in odor concentration through the concentration matrix, accurately identifying the target side where the odor continues to flow in, and finally implements the strategy of increasing air intake and reducing air outlet on the target side. This process can not only effectively distinguish between accidental fluctuations and continuous pollution through the time series analysis of the concentration matrix to avoid misjudgment; it can also dynamically optimize the airflow path in the direction of the source, so that odor substances can more fully contact the adsorption module and improve purification efficiency; at the same time, the initial global operation is combined with the subsequent directional adjustment to achieve global to local coordinated control, balance the response speed and processing accuracy, and effectively improve the overall performance of the air purification and odor removal equipment.

[0070] Furthermore, although the steps of the method of the present disclosure are described in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in this particular order, or that all steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0071] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention.

Claims

1. An air purification and deodorization device, characterized in that: The device includes: an odor adsorption module, several side surfaces arranged around the odor adsorption module, and a purification control module, each side surface being provided with an air inlet module, an air outlet module, and an odor sensor module; the air inlet module is used to draw air into the odor adsorption module to adsorb odorous substances, and the air outlet module is used to discharge the purified air; each odor sensor module includes several odor sensors arranged in an array; the purification control module is communicatively connected to the air inlet module, the air outlet module, and the odor sensor module; The purification control module is used to control the working status of the air inlet module and the air outlet module according to the data collected by the odor sensor module; the purification control module is used to perform the following steps: S100, in response to any odor sensor detecting an odorous substance, controlling the air inlet module and the air outlet module on each side to operate at a first preset air volume for a first preset time period; S200, obtaining the concentrations of odor substances detected by the odor sensors on each side within a first preset time period to obtain an odor substance concentration matrix corresponding to each side; the odor substance concentration matrix includes a plurality of rows and a plurality of columns, each row including the concentrations of odor substances detected by the same odor sensor at different detection times, and each column including the concentrations of odor substances detected by different odor sensors at the same detection time; S300, determining the side corresponding to the odor substance concentration matrix in which the average odor substance concentration of each column in the odor substance concentration matrix shows an increasing trend according to the detection time sequence as the target side; S400: Increase the air intake volume of the air intake module corresponding to the target side, and decrease the air outlet volume of the air outlet module corresponding to the target side.

2. The air purification and deodorization device according to claim 1, characterized in that: Step S300 includes the following steps: S310, obtaining the odor substance concentration matrix corresponding to each side, to obtain an odor substance concentration matrix list A = (A1, A2, ..., A i ,…,A n ), i=1, 2,…, n; A i is the odor substance concentration matrix corresponding to the i-th side, and n is the number of sides; S320, get A i The first average odorant concentration in each column is used to obtain A i Corresponding first average odor substance concentration list B i =(B i，1 , B i，2 ,…,B i，j ,…,B i，m ), j = 1, 2, …, m; B i，j A i The first average odor substance concentration corresponding to the jth column in , m is the number of detection moments in the first preset time period; the detection moment of the rth column is earlier than the detection moment of the r+1th column; r=1, 2, ..., m-1; S330, according to B i , determine B i The difference between the two adjacent first average odor substance concentrations in B i Corresponding first average odor substance concentration difference list ΔB i =(ΔB i，1 , ΔB i，2 ,…,ΔB i，r ,…,ΔB i，m-1 ); concentration difference ΔB i，r For B i，r With B i，r+1 The difference between i，r =B i，r+1 -B i，r ; S340, if NUM i / (m-1)>η, then the i-th side is determined as the target side; otherwise, the i-th side is determined as the pending side; NUM i ΔB i The number of concentration differences greater than 0, η is the first preset weight.

3. The air purification and deodorization device according to claim 2, characterized in that: Step S400 includes the following steps: S410, according to ΔB i , determine the characteristic vector XL of the odor substance concentration change corresponding to the i-th side i =(QB i , μ, ΔB i );QB i ΔB i The corresponding average difference; μ is the first preset air volume; S420, XL i Input into the preset air volume adjustment prediction model to obtain the air volume Δμ1 adjusted up by the air inlet module and the air volume Δμ2 adjusted down by the air outlet module on the target side; S430: Increase the air intake volume of the air intake module corresponding to the target side by Δμ1, and decrease the air outlet volume of the air outlet module corresponding to the target side by Δμ2.

4. The air purification and deodorization device according to claim 3, characterized in that: The air inlet module includes a plurality of air inlets arranged in an array, and the air outlet module includes a plurality of air outlets arranged in an array. After step S400, the following steps are further included: S500, obtaining the odor substance concentration matrix WA corresponding to the target side and the odor substance concentration matrices WB and WC of the two sides adjacent to the target side; S510: Concatenate WA, WB, and WC based on the positional relationship between the target side and the two adjacent side surfaces to obtain a concatenated odor substance concentration matrix WD. WD includes a plurality of rows and columns, where each row includes odor substance concentrations detected by the same odor sensor at different detection times, and each column includes odor substance concentrations detected by different odor sensors at the same detection time. The order of the odor sensors in WD is the same as their positional order on the side surfaces. S520, obtaining the second average odor substance concentration corresponding to each row in WD to obtain a second average odor substance concentration list PD = (PD1, PD2, ..., PD u ,…,PD v ), u=1, 2,…, v; PD u is the second average odor substance concentration corresponding to the u-th row in WD, and v is the number of odor sensors contained in the target side and the two sides adjacent to the target measurement; S530, determining a target air inlet and a target air outlet from the air inlets and air outlets corresponding to the target side and the air inlets and air outlets corresponding to two sides adjacent to the target side according to the PD; S540: Increase the air flow rate of the target air inlet and decrease the air flow rate of the target air outlet.

5. The air purification and deodorization device according to claim 4, characterized in that: Step S530 includes the following steps: S531, obtaining the difference between two adjacent second average odor substance concentrations in PD to obtain a second average odor substance concentration difference list FD = (FD1, FD2, ..., FD x ,…,FD v-1 ), x=1, 2,…, v-1; FD x For PD x With PD x+1 The difference between x =PD x+1 -PD x ; S532, traverse FD, if FD x >ω, then PD x The corresponding odor sensor determines the first designated odor sensor; ω is a preset second average odor substance concentration difference threshold; S533, if FD x <-ω, then PD x The corresponding odor sensor determines a second designated odor sensor; S534, draw a first perpendicular line CX1 from the position of the first designated odor sensor to the central axis of the device, and draw a second perpendicular line CX2 from the position of the second designated odor sensor to the central axis of the device; S535 : Determine the air inlet within the angle range between CX1 and CX2 as the target air inlet, and determine the air outlet within the angle range between CX1 and CX2 as the target air outlet.

6. The air purification and deodorization device according to claim 3, characterized in that: After step S430, the following steps are further included: S440: Reduce the air intake volume of the air intake module corresponding to the side to be determined, and increase the air outlet volume of the air outlet module corresponding to the side to be determined.

7. The air purification and deodorization device according to claim 1, characterized in that: The duration of the first preset time period ranges from 5 seconds to 20 seconds.

8. The air purification and deodorization device according to claim 3, characterized in that: The preset air volume adjustment prediction model includes an LSTM model.

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