Intelligent control method and device, air purifier and storage medium

Abstract

The application discloses an intelligent control method and device, an air purifier and a storage medium. The method comprises collecting pet physiological signals to obtain physiological data, and collecting user behavior to obtain behavior data; a scene prediction model is generated according to the physiological data and the behavior data; a scene type is confirmed according to the scene prediction model, and a working mode of the air purifier is confirmed based on the confirmed scene type; and the air purifier is controlled according to the confirmed working mode. The application can associate the physiological state of a pet with the behavior of a user, and meet individualized use requirements.

Description

Technical Field

[0001] This invention relates to the field of air purifier technology, and in particular to an intelligent control method, device, air purifier, and storage medium. Background Technology

[0002] Air purifiers are typically used to purify indoor air to provide users with clean air. Currently, air purifiers usually employ fixed cleaning modes or dynamically adjust based on feedback from air quality sensors. However, with the increasing number of pet-owning households, most families typically include at least one pet. Existing air purifier control methods do not consider the correlation between the pet's physiological state and the user's actual behavioral patterns, thus failing to meet personalized usage needs. Summary of the Invention

[0003] This invention provides an intelligent control method, device, air purifier, and storage medium, aiming to solve the problem that current air purifiers cannot meet personalized usage needs.

[0004] In a first aspect, embodiments of the present invention provide an intelligent control method applied to an air purifier, the method comprising: Collecting pet physiological signals to obtain physiological data, and collecting user daily routines to obtain behavioral data; A scenario prediction model is generated based on the physiological data and the behavioral data; The scene type is determined based on the scene prediction model, and the working mode of the air purifier is determined based on the determined scene type. The air purifier is controlled according to the confirmed operating mode.

[0005] Secondly, embodiments of the present invention also provide an intelligent control device for use in an air purifier, the device comprising: The first data acquisition unit is used to collect pet physiological signals to obtain physiological data, and to collect user daily routines to obtain behavioral data. The first generation unit is used to generate a scene prediction model based on the physiological data and the behavioral data; The first confirmation unit is used to confirm the scene type according to the scene prediction model, and to confirm the working mode of the air purifier based on the confirmed scene type. The first control unit is used to control the air purifier according to the confirmed operating mode.

[0006] Thirdly, embodiments of the present invention also provide an air purifier, which includes a memory and a processor connected to the memory, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-described method.

[0007] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the above-described method.

[0008] This invention provides an intelligent control method, device, air purifier, and storage medium. The method includes: collecting physiological signals from a pet to obtain physiological data, and collecting user behavior data to obtain behavioral data; generating a scene prediction model based on the physiological data and the behavioral data; confirming the scene type based on the scene prediction model, and confirming the operating mode of the air purifier based on the confirmed scene type; and controlling the air purifier according to the confirmed operating mode. This invention can acquire physiological data from a pet and behavioral data from a user, generate a scene prediction model based on the physiological data and behavioral data, confirm the scene type based on the scene prediction model, confirm the operating mode based on the scene type, and finally control the air purifier according to the confirmed operating mode. This allows for the correlation between the pet's physiological state and the user's behavior, meeting personalized usage needs. Attached Figure Description

[0009] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a flowchart illustrating the intelligent control method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the first sub-process of the intelligent control method provided in the embodiment of the present invention; Figure 3 This is a schematic diagram of the second sub-process of the intelligent control method provided in the embodiments of the present invention; Figure 4 This is a schematic diagram of the third sub-process of the intelligent control method provided in the embodiment of the present invention; Figure 5 This is a schematic diagram of the fourth sub-process of the intelligent control method provided in this embodiment of the invention; Figure 6 This is a schematic diagram of the fifth sub-process of the intelligent control method provided in the embodiment of the present invention; Figure 7 This is a schematic diagram of the sixth sub-process of the intelligent control method provided in the embodiment of the present invention; Figure 8 This is a schematic block diagram of an intelligent control device provided in an embodiment of the present invention; Figure 9 This is a schematic block diagram of an air purifier provided in an embodiment of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] It should be understood that, when used in this specification and the appended claims, the terms “comprising” and “including” indicate the presence of the described features, integrals, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, operations, elements, components and / or collections thereof.

[0013] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations.

[0014] Please see Figure 1 , Figure 1 This is a flowchart illustrating the intelligent control method provided in an embodiment of the present invention. The intelligent control method of this invention can be applied to air purifiers to intelligently control the air purifiers to meet personalized usage needs. For example... Figure 1 As shown, the method includes steps S100 to S130.

[0015] The S100 collects physiological signals from pets to obtain physiological data, and collects user routines to obtain behavioral data.

[0016] In this embodiment of the invention, a pet's physiological signals can be captured in real time using a suitable sensing device (such as a smart collar, a camera with behavior recognition capabilities, etc.), thereby extracting analyzable physiological data. For example, signals such as the pet's heart rate, respiratory rate, and body temperature can be collected and, after preliminary processing by the device, generated structured physiological data such as heart rate XX beats / minute and respiratory rate XX breaths / minute, ensuring that the data can be directly used for subsequent analysis.

[0017] User activity data collection can rely on smart home devices (such as smart locks, mobile phone positioning, smartwatches, etc.) to record users' daily routine-related behavioral information and convert it into standardized behavioral data. For example, smart locks can record users' daily arrival and departure times, mobile phone GPS or Wi-Fi can detect whether users are at home and their activity range, and smartwatches can record users' sleep and work periods, ultimately forming behavioral data such as when a user returned home and when a user was asleep during a certain period.

[0018] S110, Generate a scene prediction model based on the physiological data and the behavioral data.

[0019] In this embodiment of the invention, the collected physiological and behavioral data can be cleaned first (e.g., filtering out transient outliers and completing missing data), and then key features can be extracted from them. For example, features such as the range of heart rate fluctuations and the stability of respiratory rate can be extracted from pet physiological data, and features such as the temporal correlation between the user's home arrival time and pet physiological data, and the matching relationship between the user's sleep time and pet physiological state can be extracted from user behavioral data, ensuring that the features can reflect the inherent relationship between the two types of data.

[0020] Model training and optimization use extracted features as input and employ suitable algorithms (such as time series analysis algorithms and association rule algorithms) to train the model. For example, historical data combinations such as user returning home + pet heart rate increase, user sleep + pet stable physiological state are used as training samples to allow the model to learn the correspondence between physiological data, behavioral data, and scenarios. By continuously inputting new data, the model is continuously optimized to improve the accuracy of scenario prediction, ultimately forming a scenario prediction model that can output scenario prediction results based on real-time data.

[0021] See Figure 2 In some embodiments, such as in the embodiments of the present invention, step S110 includes steps S111-S112.

[0022] S111, confirm the pet's psychological state based on the physiological data, and confirm the user's home status based on the behavioral data; S112, Generate the scene prediction model based on the psychological state and the homecoming state.

[0023] In this embodiment of the invention, physiological data is used to confirm the pet's psychological state, which reflects the pet's emotional fluctuations. For example, when the pet's emotional fluctuations are normal, the pet's psychological state is confirmed as normal; when the pet's emotional fluctuations are large, the pet's psychological state is confirmed as excited; and when the pet's emotional fluctuations are abnormal, the pet's psychological state is confirmed as abnormal.

[0024] The "Homecoming Status" indicates whether a user is at home. When a user is at home, the status is "Homecoming Completed." When a user is not at home, the status is "Not Homecoming." If a user is not at home but is close to returning, the status can be set to "About to Return Home." For example, if the behavioral data shows that the smart lock did not detect an unlocking record, the phone's GPS shows the user's location is 5 kilometers from home, and the time away has exceeded 2 hours, the user's "Homecoming Status" is confirmed as "Not Homecoming." If the behavioral data shows that the phone's GPS shows the user's location is 1 kilometer from home, and the direction of movement is towards home, and the smartwatch shows the user is finishing work, the user's "Homecoming Status" is confirmed as "About to Return Home." If the behavioral data shows that the smart lock detected an unlocking record at 18:00, the phone's Wi-Fi is connected to the home network, and the user's location shows indoors, the user's "Homecoming Status" is confirmed as "Homecoming Completed."

[0025] In the production scenario prediction model, the pet's psychological state and the user's home return status can be synchronized by timestamp to form a one-to-one sample combination. Each sample contains three elements: psychological state, home return status, and time information.

[0026] Sample example: Sample 1: "Pet's mental state: excited, user's home status: home, time: 18:00"; Sample 2: "Pet's mental state: calm, user's home status: not home, time: 14:00"; Sample 3: "Pet's psychological state: anxious, user's home status: not home, time: 15:30"; Sample 4: "Pet's mental state: calm, user's home status: home, time: 22:10".

[0027] Extracting dual-state features and labeling scene tags Feature extraction: Key relevance features are extracted from the above samples, focusing on the matching relationship between psychological state and homecoming state, for example: Feature 1: Pet is excited + User has returned home (occurring simultaneously). Feature 2: Pet is calm + User has returned home (after 22:00); Feature 3: Pet anxiety + user not returning home (left for more than 2 hours).

[0028] Scene labeling: Each associated feature is labeled with a corresponding scene label (based on previously defined typical scenes), forming training sample pairs, for example: "Feature 1: Pet excited + User has returned home" → Label the welcoming scene; "Feature 2: Pet is calm + User has returned home (after 10 PM)" → Labeled as a quiet nighttime scene; "Feature 3: Pet anxiety + User not home for more than 2 hours" → High-risk protection scenario.

[0029] 3. Training the scene prediction model Model training logic: The model is trained using association rule algorithm or temporal classification algorithm, with dual-state association features as input and scene labels as output.

[0030] Training process: Divide the labeled sample set (e.g., 1000 feature-label pairs) into a training set (80%) and a test set (20%). Use the training set to teach the model which psychological state + homecoming state combination corresponds to which scenario. Use the test set to verify the model's prediction accuracy. If the accuracy does not meet expectations (e.g., below 90%), add more samples (e.g., add samples of pet excitement + user about to return home) and retrain until the accuracy requirements are met.

[0031] Model output: The final model can predict scenarios in real time. When new pet psychological states and user home status are input, the model can automatically match associated features and output corresponding scenario labels (such as welcoming scenarios and quiet nighttime scenarios).

[0032] See Figure 3 In some embodiments, such as in the embodiments of the present invention, step S111 includes steps S1111-S1114.

[0033] S1111, obtain respiratory rate and heart rate from the physiological data; S1112, if the respiratory rate is greater than or equal to the first preset respiratory rate and less than the second preset respiratory rate, and the heart rate is greater than or equal to the first preset heart rate and less than the second preset heart rate, then the psychological state is confirmed to be a calm state. S1113, if the respiratory rate is greater than or equal to the second preset respiratory rate and less than the third preset respiratory rate, and the heart rate is greater than or equal to the second preset heart rate and less than the third preset heart rate, then the psychological state is confirmed to be an excited state. S1114, if the respiratory rate is greater than or equal to the third preset respiratory rate and the heart rate is greater than or equal to the third preset heart rate, then the psychological state is confirmed to be an abnormal state.

[0034] In this embodiment of the invention, physiological data needs to be collected first through intelligent devices (such as smart collars or cameras with behavior recognition). The raw data may include information such as body temperature and activity trajectory, from which the two core indicators, respiratory rate and heart rate, need to be extracted. The extracted data must be continuous and stable values, not instantaneous fluctuations. The first preset respiratory rate can be 15 breaths / minute (the lower limit of respiratory rate in a resting state; below this value may indicate bradybreathing, which needs to be excluded); the second preset respiratory rate can be 25 breaths / minute (the upper limit of respiratory rate in a resting state; above this value indicates excitation or abnormality); the third preset respiratory rate can be 30 breaths / minute (the lower limit of respiratory rate in an abnormal state; above this value is determined to be respiratory abnormality); the first preset heart rate can be 60 beats / minute (the lower limit of heart rate in a resting state; below this value may indicate bradybreathing, which needs to be excluded); the second preset heart rate can be 120 beats / minute (the upper limit of heart rate in a resting state; above this value indicates excitation or abnormality); the third preset heart rate can be 140 beats / minute (the lower limit of heart rate in an abnormal state; above this value is determined to be heart rate abnormality).

[0035] When the extracted respiratory rate is ≥15 breaths / minute and <25 breaths / minute, and the heart rate is ≥60 beats / minute and <120 beats / minute, the pet's psychological state can be confirmed as calm (manifested as the pet resting quietly without agitation). When the extracted respiratory rate is ≥25 breaths / minute and <30 breaths / minute, and the heart rate is ≥120 beats / minute and <140 beats / minute, the pet's psychological state can be confirmed as excited (manifested as the pet wagging its tail, greeting its owner, and actively playing). When the extracted respiratory rate is ≥30 breaths / minute, and the heart rate is ≥140 beats / minute, the pet's psychological state can be confirmed as abnormal (manifested as the pet pacing frequently, breathing rapidly, scratching at the cage, and possibly accompanied by health risks). For example, at 10 a.m., a user is working from home, and their pet dog is also resting at home. At this time, the respiratory rate is 20 breaths / minute and the heart rate is 90 beats / minute. Therefore, the respiratory rate (20 breaths / minute) is ≥15 and <25, and the heart rate (90 beats / minute) is ≥60 and <120, confirming that the pet dog's psychological state is calm.

[0036] See Figure 4 In some embodiments, such as in the embodiments of the present invention, step S111 further includes steps S1115-S1117.

[0037] S1115, detects whether the user is in an indoor environment; S1116, If the user is in the target scenario, then confirm that the homecoming status is "homecoming". S1117, If the user is not in the target scenario, then the home status is confirmed as not home.

[0038] In this embodiment of the invention, the presence of a user in an indoor environment can be detected through methods such as intelligent network connection detection, intelligent door lock linkage detection, and indoor positioning technology detection. Intelligent network connection detection can be performed using the user's mobile phone's Wi-Fi or Bluetooth signal. If the user's mobile phone is connected to a dedicated home Wi-Fi network (not public Wi-Fi) or establishes a Bluetooth connection with a smart home device (such as a smart speaker or air purifier), it can be preliminarily determined that the user is indoors (since the effective range of Wi-Fi / Bluetooth is typically ≤10 meters, it disconnects beyond that). Intelligent door lock linkage detection refers to detection through unlocking records and status feedback. If the intelligent door lock detects fingerprint / password unlocking (not remote authorization unlocking), and the lock does not subsequently detect secondary unlocking (excluding the user leaving immediately after opening the door), it can help determine that the user has entered the room. Indoor positioning technology detection involves deploying indoor positioning devices such as UWB (Ultra-Wideband) or Bluetooth beacons in the home, which can accurately determine whether the user is indoors through positioning signals received by the user's mobile phone or smartwatch. Additionally, user's historical schedule can be used for verification. For example, if a user typically returns home between 5:30 PM and 6:30 PM, and the current detection shows the user is indoors at 6:00 PM (consistent with their historical schedule), then it's further confirmed they've returned home. If the time is 2:00 AM (outside their usual home-return time), secondary verification is required (e.g., confirming the user's presence via an indoor camera to avoid accidental device connections). When verifying someone hasn't returned home, the user's mobile phone GPS can be used for verification. If the GPS shows the user's location is ≥1 km from home in an outdoor area or public area (such as a supermarket or office), then it's further confirmed they haven't returned home. If the GPS shows the user is in a stairwell 50 meters from home, a 5-minute wait is required before re-detecting (excluding cases where the user didn't connect to Wi-Fi while going upstairs).

[0039] In addition to the "already home" and "not home" statuses, a "nearly home" status can be added. That is, if a user is not home, but their return time is approaching based on their daily routine, they can be identified as "nearly home." For example, if a user typically arrives home around 6 PM on weekdays, the time between 5 PM and 6 PM can be identified as "nearly home."

[0040] See Figure 5 In some embodiments, such as in the embodiments of the present invention, step S112 further includes steps S1121-S1125.

[0041] S1121, Obtain the psychological state and the homecoming status; S1122, if the psychological state is the excited state and the homecoming state is the state of having returned home, then the scene type is confirmed to be a welcoming scene. S1123, if the psychological state is the abnormal state and the homecoming state is not homecoming, then the scenario type is confirmed as a risk scenario. S1124, if the psychological state is the calm state and the homecoming state is the state of having returned home, then the scene type is confirmed to be a silent scene. S1125, if the psychological state is the calm state and the homecoming state is the not homecoming state, then the scenario type is confirmed to be a standby scenario.

[0042] In this embodiment of the invention, the psychological state can include a calm state, an excited state, and an abnormal state, and the homecoming state can include being home and not being home. Therefore, the scenario types can be divided into standby scenarios, silent scenarios, welcoming scenarios, and protective scenarios. A standby scenario refers to a psychological state of calmness and a homecoming state of not being home. In a standby scenario, high cleaning efficiency is not required; only basic purification is needed from the air purifier, prioritizing energy conservation and avoiding resource waste.

[0043] A quiet environment refers to a psychological state of calm and the state of being home. In a quiet environment, both the user and the pet are in a low-activity state, so the air purifier needs to be quiet and energy-saving to avoid disturbing the user.

[0044] The "Welcome" scenario refers to a state of excitement and a "Homecoming" state (when the user has just returned home). In this scenario, as the user enters the room, the pet experiences positive emotional fluctuations due to the greeting, requiring the air purifier to quickly clean and soothe the pet. Additionally, when the "Approaching Homecoming" state is mentioned, the "Welcome" mode can be activated in advance to purify the air beforehand.

[0045] The protective scenario refers to a situation where the pet's psychological state is abnormal and its home status is not home. In this scenario, the pet may experience physiological abnormalities due to separation anxiety or health discomfort, and there is no user to provide immediate comfort. Therefore, the air purifier needs to activate its health protection and alarm reminder functions.

[0046] S120, the scene type is confirmed according to the scene prediction model, and the working mode of the air purifier is confirmed based on the confirmed scene type.

[0047] In this embodiment of the invention, real-time collected pet physiological data and user behavior data are input into a pre-constructed scene prediction model. The model outputs the corresponding scene type based on preset judgment logic. For example, when the model detects that the user is returning home (behavioral data) and the pet's heart rate is significantly elevated (physiological data), the current scene is determined to be a welcoming scene; when the model detects that the user is asleep (behavioral data) and the pet's physiological state is stable (physiological data), the current scene is determined to be a quiet nighttime scene.

[0048] The operating mode is determined based on the confirmed scenario type and matches the preset operating mode rules of the air purifier. For example, if the scenario type is a welcoming scenario, the corresponding operating mode is high-speed cleaning + fragrance release; if the scenario type is a nighttime silent scenario, the corresponding operating mode is low-speed silent + low-power consumption, ensuring that the operating mode can adapt to the needs of users and pets in the current scenario.

[0049] See Figure 6 In some embodiments, such as in the embodiments of the present invention, step S120 further includes steps S121-S125.

[0050] S121, Obtain the scene type; S122, if the scenario type is the standby scenario, then confirm that the working mode is the standby mode; S123, if the scene type is the silent scene, then confirm that the working mode is the silent mode; S124, if the scene type is the welcoming scene, then confirm that the working mode is the welcoming mode; S125, if the scenario type is the risk scenario, then confirm that the working mode is the protection mode.

[0051] In this embodiment of the invention, the operating modes may include standby mode, silent mode, welcome mode, and protection mode. Standby mode refers to the air purifier operating in a low-power state; silent mode refers to the air purifier operating at the lowest setting, such as fan speed level 1, to minimize noise; welcome mode is for users who have just returned home or are about to return home, requiring quick air purification and calming of pets; and protection mode prioritizes protecting pet health and reducing environmental risks, such as requiring powerful cleaning and sterilization.

[0052] S130, control the air purifier according to the confirmed operating mode.

[0053] In this embodiment of the invention, the specific operating parameters of the air purifier can be derived based on the confirmed operating mode. For example, if the operating mode is high-speed cleaning + fragrance release, control commands such as adjusting the fan speed to level X, adjusting the fragrance release amount to X%, and increasing the filter operating frequency to X are generated; if the operating mode is low-speed silent + low-power consumption, commands such as adjusting the fan speed to level 1, turning off the fragrance function, and switching to low-power standby mode are generated. The device executes and provides status feedback, sending the generated control commands to the air purifier. After receiving the commands, the device executes the corresponding operations; at the same time, the purifier provides real-time feedback on its operating status (such as the current fan speed level X, fragrance being turned on), ensuring that the control operations meet the requirements of the operating mode, and allowing for timely adjustments if deviations occur.

[0054] See Figure 7In some embodiments, such as in the embodiments of the present invention, step S130 further includes steps S131-S135.

[0055] S131, Obtain the operating mode; S132, if the working mode is the standby mode, then the air purifier is kept in a low power consumption state. S133, if the working mode is the silent mode, then the fan speed of the air purifier is set to the first preset level. S134, if the working mode is the welcoming mode, then the fan speed of the air purifier is set to the second preset level, and the fragrance function is activated. S135, if the working mode is the protection mode, then the wind speed setting is set to the third preset setting, and the sterilization function is activated, wherein the first preset setting is less than the second preset setting and the third preset setting is less than the third preset setting.

[0056] In this embodiment of the invention, in standby mode, the total power of the unit can be limited to 30W (50% of the normal operating power), and an intermittent operation mode is adopted (e.g., running for 15 minutes per hour and sleeping for the rest of the time). The indoor air circulation is completed only once before sleeping. Non-essential functions such as fragrance and sterilization are turned off, and only basic filter filtration is retained. For example, when the user goes out shopping (not returning home) and the pet is resting peacefully at home (breathing 18 times / minute), after the system obtains standby mode, the purifier runs for 15 minutes per hour (2-speed fan), the power is stabilized at 28W, and the fragrance and sterilization functions are turned off.

[0057] In silent mode, the fan speed is fixed at the first preset level, at which the fan speed is ≤800 rpm and the operating noise is ≤28dB. The internal prompts (such as fan speed adjustment prompts) are turned off, only the fault alarm sound is kept, the fragrance is turned off (to avoid stimulating users who are sleeping), and the filter operates at 80% of the normal frequency (to balance silence and purification). For example, if the user is sleeping in the bedroom (has returned home) and the pet is resting peacefully in the living room (heart rate 85 beats / minute), after the system obtains silent mode, the purifier's fan speed is fixed at level 1, the noise is 27dB, the fragrance is turned off, and no operation prompts are emitted.

[0058] In Welcome Mode, the fan speed is fixed at the second preset level (level 3). At this level, the fan speed is 1500 rpm, the fragrance function is activated, and 50% of the citrus scent is released continuously until the pet's heart rate drops to a calm threshold (e.g., ≤120 beats / minute). The filter operates at 120% of its normal frequency, quickly filtering outdoor dust and pollen brought in by the user. For example, if the user returns home at 6:00 PM (already home), and the pet greets them excitedly (heart rate 132 beats / minute), the system will register Welcome Mode, adjust the purifier's fan speed to level 3, and activate the citrus fragrance (50% dose). After 10 minutes, the PM2.5 in the living room will drop to 12 μg / m³. 3 The pet's heart rate gradually dropped to 115 beats per minute.

[0059] In protection mode, the fan speed is fixed at the third preset level (level 5), at which the fan speed is 2500 rpm. The dual sterilization function of UV sterilization and HEPA high-efficiency filtration is activated, and the fragrance is turned off (to avoid irritating the pet's respiratory tract). This continues until the pet's physiological indicators return to normal or the user intervenes remotely. For example, if the user is at work (not home) and the pet is unusually agitated (breathing 33 breaths / minute, heart rate 148 beats / minute), the system will register protection mode, adjust the purifier's fan speed to level 5, and activate UV sterilization and high-efficiency filtration. After 15 minutes, the indoor bacterial concentration will decrease from 1200 CFU / m³. 3 Reduced to 150 CFU / m 3 The app continuously pushes status updates.

[0060] The intelligent control method disclosed in this invention can acquire the pet's physiological data and the user's behavioral data, generate a scene prediction model based on the physiological and behavioral data, then confirm the scene type based on the scene prediction model, then confirm the working mode based on the scene type, and finally control the air purifier according to the confirmed working mode. In this way, the physiological state of the pet can be correlated with the user's behavior to meet personalized usage needs.

[0061] Figure 8 This is a schematic block diagram of an intelligent control device 200 provided in an embodiment of the present invention. Figure 8 As shown, corresponding to the above-described intelligent control method, the present invention also provides an intelligent control device 200. This intelligent control device 200 includes a unit for executing the above-described intelligent control method. Specifically, please refer to... Figure 8 The intelligent control device 200 includes a first acquisition unit 201, a first generation unit 202, a first confirmation unit 203, and a first control unit 204.

[0062] The first acquisition unit 201 is used to acquire pet physiological signals to obtain physiological data and to acquire user daily routines to obtain behavioral data. The first generation unit 202 is used to generate a scene prediction model based on the physiological data and the behavioral data; The first confirmation unit 203 is used to confirm the scene type according to the scene prediction model, and to confirm the working mode of the air purifier based on the confirmed scene type. The first control unit 204 is used to control the air purifier according to the confirmed operating mode.

[0063] In some embodiments, such as this embodiment, the first generation unit 202 further includes a second confirmation unit and a second generation unit.

[0064] The second confirmation unit is used to confirm the pet's psychological state based on the physiological data, and to confirm the user's home status based on the behavioral data. The second generation unit is used to generate the scene prediction model based on the psychological state and the homecoming state.

[0065] In some embodiments, such as this embodiment, the second confirmation unit further includes a first acquisition unit, a third confirmation unit, a fourth confirmation unit, and a fifth confirmation unit.

[0066] The first acquisition unit is used to acquire respiratory rate and heart rate from the physiological data; The third confirmation unit is used to confirm that the psychological state is calm if the respiratory rate is greater than or equal to the first preset respiratory rate and less than the second preset respiratory rate, and the heart rate is greater than or equal to the first preset heart rate and less than the second preset heart rate. The fourth confirmation unit is used to confirm that the psychological state is an excited state if the respiratory rate is greater than or equal to the second preset respiratory rate and less than the third preset respiratory rate, and the heart rate is greater than or equal to the second preset heart rate and less than the third preset heart rate. The fifth confirmation unit is used to confirm that the psychological state is an abnormal state if the respiratory rate is greater than or equal to the third preset respiratory rate and the heart rate is greater than or equal to the third preset heart rate.

[0067] In some embodiments, such as this embodiment, the second confirmation unit further includes a first detection unit, a sixth confirmation unit, and a seventh confirmation unit.

[0068] The first detection unit is used to detect whether the user is in an indoor environment; The sixth confirmation unit is used to confirm that the homecoming status is "homecoming" if the user is in the target scenario. The seventh confirmation unit is used to confirm that the homecoming status is "not home" if the user is not in the target scenario.

[0069] In some embodiments, such as this embodiment, the second generation unit further includes a second acquisition unit, an eighth confirmation unit, a ninth confirmation unit, a tenth confirmation unit, and an eleventh confirmation unit.

[0070] The second acquisition unit is used to acquire the psychological state and the homecoming status. The eighth confirmation unit is used to confirm that the scene type is a welcoming scene if the psychological state is the excited state and the homecoming state is the state of having returned home. The ninth confirmation unit is used to confirm that the scenario type is a risk scenario if the psychological state is the abnormal state and the homecoming status is not homecoming. The tenth confirmation unit is used to confirm that the scene type is a silent scene if the psychological state is the calm state and the homecoming state is "already home". The eleventh confirmation unit is used to confirm that the scenario type is a standby scenario if the psychological state is the calm state and the home status is not home.

[0071] In some embodiments, such as this embodiment, the first confirmation unit 203 further includes a third acquisition unit, a twelfth confirmation unit, a thirteenth confirmation unit, a fourteenth confirmation unit, and a fifteenth confirmation unit.

[0072] The third acquisition unit is used to acquire the scene type; The twelfth confirmation unit is used to confirm that the working mode is standby mode if the scenario type is the standby scenario. The thirteenth confirmation unit is used to confirm that the working mode is silent mode if the scene type is the silent scene. The fourteenth confirmation unit is used to confirm that the working mode is the welcoming mode if the scene type is the welcoming scene. The fifteenth confirmation unit is used to confirm that the working mode is the protection mode if the scenario type is the risk scenario.

[0073] In some embodiments, such as this one, the first control unit 204 further includes a fourth acquisition unit, a first adjustment unit, a second adjustment unit, a third adjustment unit, and a fourth adjustment unit.

[0074] The fourth acquisition unit is used to acquire the working mode; The first adjustment unit is used to maintain the air purifier in a low power consumption state if the working mode is the standby mode. The second adjustment unit is used to set the air purifier's fan speed to a first preset level if the working mode is the silent mode. The third adjustment unit is used to set the air purifier's fan speed to the second preset level and activate the fragrance function if the working mode is the welcoming mode. The fourth adjustment unit is used to set the wind speed to a third preset level and activate the sterilization function if the working mode is the protection mode, wherein the first preset level is less than the second preset level and the third preset level.

[0075] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned intelligent control device and each unit can be referred to the corresponding description in the foregoing method embodiments. For the sake of convenience and brevity, it will not be repeated here.

[0076] The aforementioned intelligent control device can be implemented as a computer program, which can, for example... Figure 9 The air purifier shown is running.

[0077] Please see Figure 9 , Figure 9 This is a schematic block diagram of an air purifier provided in an embodiment of this application. It can be a terminal or a server. The terminal can be an electronic device with communication functions, such as a smartphone, tablet, laptop, desktop computer, personal digital assistant, or wearable device. The server can be a standalone server or a server cluster composed of multiple servers.

[0078] See Figure 9 The air purifier 300 includes a processor 302, a memory, and an interface 307 connected via a system bus 301. The memory may include a non-volatile storage medium 303 and internal memory 304.

[0079] The non-volatile storage medium 303 can store an operating system 3031 and a computer program 3032. When the computer program 3032 is executed, it causes the processor 302 to execute an intelligent control method.

[0080] The processor 302 provides computing and control capabilities to support the operation of the entire air purifier 300.

[0081] The internal memory 304 provides an environment for the execution of the computer program 3032 in the non-volatile storage medium 303. When the computer program 3032 is executed by the processor 302, the processor 302 can execute an intelligent control method.

[0082] This interface 305 is used for communication with other devices. Those skilled in the art will understand that... Figure 9The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the air purifier 300 to which the present application is applied. The specific air purifier 300 may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0083] It should be understood that in the embodiments of this application, the processor 302 may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (FSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0084] It will be understood by those skilled in the art 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 may be stored in a storage medium, which is a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0085] Therefore, the present invention also provides a storage medium. This storage medium can be a computer-readable storage medium. The storage medium stores a computer program. When executed by a processor, the computer program implements any embodiment of the above-described intelligent control method.

[0086] The storage medium can be any computer-readable storage medium capable of storing program code, such as a USB flash drive, portable hard drive, read-only memory (ROM), magnetic disk, or optical disk.

[0087] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0088] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of each unit is merely a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0089] The steps in the method of this invention can be adjusted, merged, or reduced in order according to actual needs. The units in the device of this invention can be merged, divided, or reduced according to actual needs. Furthermore, the functional units in the various embodiments of this invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0090] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause an air purifier to perform all or part of the steps of the methods described in the various embodiments of the present invention.

[0091] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0092] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Since these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0093] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An intelligent control method, characterized in that, Applied to air purifiers, the method includes: Collecting pet physiological signals to obtain physiological data, and collecting user daily routines to obtain behavioral data; A scenario prediction model is generated based on the physiological data and the behavioral data; The scene type is determined based on the scene prediction model, and the working mode of the air purifier is determined based on the determined scene type. The air purifier is controlled according to the confirmed operating mode; The step of generating a scene prediction model based on the physiological data and the behavioral data includes: The psychological state of the pet is determined based on the physiological data, and the user's homecoming status is determined based on the behavioral data. The scenario prediction model is generated based on the psychological state and the homecoming state. The step of confirming the pet's psychological state based on the physiological data includes: Respiratory rate and heart rate are obtained from the physiological data; If the respiratory rate is greater than or equal to the first preset respiratory rate and less than the second preset respiratory rate, and the heart rate is greater than or equal to the first preset heart rate and less than the second preset heart rate, then the psychological state is confirmed to be a calm state. If the respiratory rate is greater than or equal to the second preset respiratory rate and less than the third preset respiratory rate, and the heart rate is greater than or equal to the second preset heart rate and less than the third preset heart rate, then the psychological state is confirmed to be an excited state. If the respiratory rate is greater than or equal to the third preset respiratory rate and the heart rate is greater than or equal to the third preset heart rate, then the psychological state is confirmed to be an abnormal state. The step of confirming the user's home status based on the behavioral data includes: Detect whether the user is in an indoor environment; If the user is in the target scenario, then the home status is confirmed as "home has been returned to". If the user is not in the target scenario, then the home status is confirmed as not home.

2. The method according to claim 1, characterized in that, The psychological state includes a calm state, an excited state, and an abnormal state; the homecoming status includes having returned home and not having returned home; the step of generating the scene prediction model based on the psychological state and the homecoming status includes: Obtain the psychological state and the homecoming status; If the psychological state is the excited state and the homecoming state is the state of having returned home, then the scene type is confirmed to be a welcoming scene. If the psychological state is the abnormal state and the homecoming status is not homecoming, then the scenario type is confirmed as a risk scenario. If the psychological state is the calm state and the homecoming state is "already home", then the scene type is confirmed to be a silent scene. If the psychological state is the calm state and the homecoming state is the not homecoming state, then the scenario type is confirmed to be a standby scenario.

3. The method according to claim 2, characterized in that, The step of determining the operating mode of the air purifier based on the confirmed scenario type includes: Obtain the scene type; If the scenario type is the standby scenario, then the working mode is confirmed to be standby mode; If the scene type is the silent scene, then the working mode is confirmed to be silent mode; If the scene type is the welcoming scene, then the working mode is confirmed to be the welcoming mode; If the scenario type is the risk scenario, then the working mode is confirmed to be the protection mode.

4. The method according to claim 3, characterized in that, The step of controlling the air purifier according to the confirmed operating mode includes: Obtain the aforementioned working mode; If the working mode is the standby mode, then the air purifier is kept in a low power consumption state. If the working mode is the silent mode, then the fan speed of the air purifier is set to the first preset level. If the working mode is the welcoming mode, then the fan speed of the air purifier is set to the second preset level, and the fragrance function is activated. If the working mode is the protection mode, then the wind speed setting is set to the third preset setting, and the sterilization function is activated, wherein the first preset setting is less than the second preset setting, which is less than the third preset setting.

5. An intelligent control device, characterized in that, The device, used in air purifiers, includes: The first data acquisition unit is used to collect pet physiological signals to obtain physiological data, and to collect user daily routines to obtain behavioral data. The first generation unit is used to generate a scene prediction model based on the physiological data and the behavioral data; The first confirmation unit is used to confirm the scene type according to the scene prediction model, and to confirm the working mode of the air purifier based on the confirmed scene type. The first control unit is used to control the air purifier according to the confirmed operating mode; The first generation unit includes: The second confirmation unit is used to confirm the pet's psychological state based on the physiological data, and to confirm the user's home status based on the behavioral data. The second generation unit is used to generate the scene prediction model based on the psychological state and the homecoming state. The second confirmation unit includes: The first acquisition unit is used to acquire respiratory rate and heart rate from the physiological data; The third confirmation unit is used to confirm that the psychological state is calm if the respiratory rate is greater than or equal to the first preset respiratory rate and less than the second preset respiratory rate, and the heart rate is greater than or equal to the first preset heart rate and less than the second preset heart rate. The fourth confirmation unit is used to confirm that the psychological state is an excited state if the respiratory rate is greater than or equal to the second preset respiratory rate and less than the third preset respiratory rate, and the heart rate is greater than or equal to the second preset heart rate and less than the third preset heart rate. The fifth confirmation unit is used to confirm that the psychological state is an abnormal state if the respiratory rate is greater than or equal to the third preset respiratory rate and the heart rate is greater than or equal to the third preset heart rate. The first detection unit is used to detect whether the user is in an indoor environment; The sixth confirmation unit is used to confirm that the homecoming status is "homecoming" if the user is in the target scenario. The seventh confirmation unit is used to confirm that the homecoming status is "not home" if the user is not in the target scenario.

6. An air purifier, characterized in that, The air purifier includes a memory and a processor connected to the memory; the memory is used to store a computer program; the processor is used to run the computer program stored in the memory to perform the steps of the method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that, when executed by a processor, can implement the steps of the method as described in any one of claims 1-4.

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