Air purification control method and device based on user information, equipment and medium

Abstract

The application relates to the technical field of air purification system control, and provides an air purification control method, device, equipment and medium based on user information, which comprises the following steps: obtaining user information and indoor environment information corresponding to an environment where a target air purifier is located; analyzing the user information to determine a user category and a health category, and analyzing the indoor environment information to determine a main pollutant type and a pollutant concentration; predicting a purification mode of the target air purifier according to the user category, the health category, the main pollutant type and the pollutant concentration to obtain a target purification mode; and adjusting a working state of the target air purifier according to the target purification mode.In the application, the user category, the health category, the main pollutant type and the concentration are comprehensively analyzed to predict a purification mode most suitable for the current environment, so that the purification mode always meets the requirements of the current environment and the user, invalid or excessive purification under a fixed mode is avoided, and the air purification efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air purification system control, in particular to an air purification control method and device based on user information, equipment and medium. BACKGROUND

[0002] Household air purifiers are devices for improving indoor air quality, mainly using mechanical filtration, adsorption technology, negative ion technology, photocatalysis and ozone generation technology to clean the air.

[0003] In the existing working mode of household air purifiers, the purification effect is mainly controlled by a timing switch, an air quality sensor and manual adjustment. When using these air purifiers, users can only select several fixed purification modes generated by the manufacturer in advance according to the indoor air quality collected by the air quality sensor. However, the fixed purification mode has limitations in adapting to different application scenarios. Different user needs and indoor air environment combinations can generate a large number of application scenarios, and the limited number of purification modes cannot adapt to these large number of application scenarios, resulting in insufficient accuracy of air purification. In addition, the user needs to manually adjust the household air purifier frequently every time when using the household air purifier to find a satisfactory purification mode, which also reduces the purification efficiency and user experience.

[0004] Therefore, how to improve the accuracy and efficiency of air purification is a problem to be solved at present. SUMMARY

[0005] In view of the problems existing in the prior art, the purpose of the present application is to provide an air purification control method and device based on user information, equipment and medium, to at least solve the technical problem of how to improve the accuracy and efficiency of air purification.

[0006] To achieve the above-mentioned purpose and other related purposes, the present application provides an air purification control method based on user information, which comprises:

[0007] Obtaining user information and indoor environment information corresponding to the environment where the target air purifier is located;

[0008] Analyzing the user information to determine the user category and health category, and analyzing the indoor environment information to determine the main pollutant type and pollutant concentration;

[0009] Predicting the purification mode of the target air purifier based on the user category, the health category, the main pollutant type and the pollutant concentration, to obtain a target purification mode;

[0010] Adjusting the working state of the target air purifier according to the target purification mode.

[0011] In some embodiments, the user information includes: age, gender, height, weight, medical history, current health status, real-time vital sign data, historical sleep-wake time, exercise frequency;

[0012] The indoor environment information includes: indoor temperature, indoor humidity, fine particulate matter concentration, carbon dioxide concentration.

[0013] In some embodiments, the analysis of the user information, determining the user category and the health category, includes:

[0014] Removing missing values and outliers in the user information to obtain first preprocessed user information;

[0015] Standardizing continuous data in the first preprocessed user information to obtain second preprocessed user information;

[0016] One-hot encoding of categorical variables in the second preprocessed user information to obtain third preprocessed user information;

[0017] Extracting physiological indicator features, lifestyle habit features and health history features from the third preprocessed user information;

[0018] Determining the user category according to the physiological indicator features and the lifestyle habit features, and determining the health category based on the physiological indicator features and the health history features.

[0019] In some embodiments, the analysis of the indoor environment information, determining the main pollutant type and the pollutant concentration, includes:

[0020] Removing missing values and outliers in the indoor environment information to obtain first preprocessed indoor environment information;

[0021] Standardizing numerical features in the first preprocessed indoor environment information to obtain second preprocessed indoor environment information;

[0022] Extracting particulate matter pollution features, ventilation influence features and temperature and humidity features from the second preprocessed indoor environment information, and performing cluster analysis on the particulate matter pollution features, ventilation influence features and temperature and humidity features to determine the main pollutant type and the pollutant concentration.

[0023] In some embodiments, the user category, the health category, the main pollutant type and the pollutant concentration, the purification mode of the target air purifier is predicted, including:

[0024] determine a sensitivity of the user to air quality according to the user category, and determine a purification demand of the user according to the health category;

[0025] perform a weighted sum of the sensitivity and the purification demand to obtain an initial purification mode;

[0026] determine a purification manner corresponding to the target air purifier according to the main pollutant type, and determine a purification intensity corresponding to the target air purifier according to the pollutant concentration;

[0027] adjust the initial purification mode based on the purification manner and the purification intensity to obtain a target purification mode of the target air purifier.

[0028] In some embodiments, the adjusting the working state of the target air purifier according to the target purification mode comprises:

[0029] selecting a filter screen type of the target air purifier according to the target purification mode;

[0030] determining a wind speed adjustment period based on the filter screen type, to adjust a wind speed of the target air purifier in the wind speed adjustment period;

[0031] adjusting working states of a fresh air unit and a condensation dehumidification unit based on the target purification mode, and controlling a standby mode of the target air purifier.

[0032] In some embodiments, after the adjusting the working state of the target air purifier according to the target purification mode, the method further comprises:

[0033] obtaining section information, the section information being the user information, the indoor environment information, and the target purification mode collected in a preset time period;

[0034] determining a plurality of encryption categories according to the section information;

[0035] processing the section information corresponding to each of the encryption categories according to a preset hash function processing strategy corresponding to each of the encryption categories to obtain an initial hash code;

[0036] determining a separation weight according to the section information corresponding to each of the encryption categories;

[0037] inserting a separation symbol into the initial hash code according to the separation weight to obtain a target hash code;

[0038] transmitting the target hash code to a manufacturer server, so that the manufacturer server stores or analyzes the section information based on the target hash code.

[0039] In an embodiment of the present application, a user information-based air purification control device is also provided, which comprises:

[0040] an information acquisition module configured to acquire user information and indoor environment information corresponding to an environment in which a target air purifier is located;

[0041] an information analysis module configured to analyze the user information to determine a user category and a health category, and analyze the indoor environment information to determine a main pollutant type and a pollutant concentration;

[0042] a mode prediction module configured to predict a purification mode of the target air purifier based on the user category, the health category, the main pollutant type and the pollutant concentration, to obtain a target purification mode;

[0043] an adjustment module configured to adjust a working state of the target air purifier according to the target purification mode.

[0044] In an embodiment of the present application, a computer readable storage medium is also provided, which comprises a stored computer program, wherein the computer program, when executed, performs the above-mentioned user information-based air purification control method.

[0045] In an embodiment of the present application, an electronic device is also provided, which comprises a memory and a processor, the memory has a computer program stored therein, and the processor is configured to perform the above-mentioned user information-based air purification control method by using the computer program.

[0046] The present application has the following beneficial effects:

[0047] First, user information and indoor environment information corresponding to an environment where a target air purifier is located are acquired; then, the user information is analyzed to determine a user category and a health category, and the indoor environment information is analyzed to determine a main pollutant type and a pollutant concentration; then, the user category, the health category, the main pollutant type and the pollutant concentration are used to predict a purification mode of the target air purifier, to obtain a target purification mode; finally, a working state of the target air purifier is adjusted according to the target purification mode. In this application, by analyzing age, gender, medical history and other information in the user information, the user can be classified into multiple user categories such as healthy users, sub-healthy users, mildly ill users and severely ill users. Different user categories have different demands and sensitivities to air quality. By analyzing the health status and real-time physical sign data in the user information, the health category of the user can be further refined, and the user category and health category can be accurately identified, so that the purification mode of the air purifier is more personalized and targeted, thereby improving the accuracy of air purification. By analyzing the concentration of fine particulate matter and the concentration of carbon dioxide in the indoor environment information, the main pollutant type and concentration can be accurately located, helping the air purifier to take more targeted purification measures and improve the purification efficiency. The user category, health category, main pollutant type and concentration are comprehensively analyzed to predict the most suitable purification mode for the current environment. According to the real-time data changes, it is ensured that the purification mode always meets the needs of the current environment and the user, avoiding invalid or excessive purification in the fixed mode, and improving the efficiency of air purification. According to the predicted target purification mode, the working state of the air purifier is automatically adjusted, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can quickly respond and adjust the working state in time to maintain the optimal state of indoor air quality and improve the accuracy and efficiency of air purification. BRIEF DESCRIPTION OF DRAWINGS

[0048] The drawings described herein are used to provide further understanding of the present application, and form a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0049] Figure 1 is a schematic diagram of an application environment of the air purification control method based on user information according to an exemplary embodiment of the present application;

[0050] Figure 2 is a flowchart of the air purification control method based on user information according to an exemplary embodiment of the present application;

[0051] Figure 3 is a content diagram of user information according to an exemplary embodiment of the present application;

[0052] Figure 4 is a content diagram of indoor environment information shown by an example embodiment of the present application;

[0053] Figure 5 is a schematic diagram of an air purification control device based on user information shown by an example embodiment of the present application;

[0054] Figure 6 is a structural schematic diagram of an electronic device shown by an example embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to enable persons skilled in the art to better understand the scheme of the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor should belong to the scope of protection of the present application.

[0056] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0057] In an embodiment of the present application, an air purification control method based on user information is provided. Optionally, as an optional implementation, the above-mentioned air purification control method based on user information can be applied to, but is not limited to, the environment as shown in Figure 1 . Figure 1 is a schematic diagram of an application environment of an air purification control method based on user information shown by an example embodiment of the present application, see Figure 1, the target air purifier 101 may, but is not limited to, communicate with the server 102 through a network, and the server 102 may, but is not limited to, perform operations on the database, such as write data operations or read data operations. The above-mentioned target air purifier 101 may, but is not limited to, include a human-computer interaction screen, a processor, and a memory. The above-mentioned human-computer interaction screen may, but is not limited to, be used to display the target purification mode. The above-mentioned processor may, but is not limited to, be used to respond to the above-mentioned human-computer interaction operation, perform corresponding operations, or generate corresponding instructions and send the generated instructions to the server 102. The above-mentioned memory is used to store relevant storage data, such as user information, indoor environment information, and target purification mode.

[0058] As an optional method, data can be collected through the target air purifier 101, for example, user information and indoor environment information corresponding to the environment in which the target air purifier is located can be collected and preprocessed.

[0059] As an optional method, the following steps in the air purification control method based on user information may be performed on the target air purifier 101:

[0060] Obtain user information and indoor environment information corresponding to the environment where the target air purifier is located;

[0061] Analyzing the user information to determine the user category and health category, and analyzing the indoor environment information to determine the main pollutant types and pollutant concentrations;

[0062] Predicting a purification mode of the target air purifier based on the user category, the health category, the main pollutant type, and the pollutant concentration to obtain a target purification mode;

[0063] According to the target purification mode, the operating state of the target air purifier is adjusted.

[0064] As an optional method, the server 102 can obtain the user information, indoor environment information, and target purification mode transmitted by the target air purifier 101 and then perform subsequent processing.

[0065] The above method can divide users into multiple categories such as healthy users, sub-healthy users, mildly ill users, and severely ill users by analyzing age, gender, and medical history in user information. Different user categories have different demands and sensitivities to air quality. By analyzing the health status and real-time physical data in user information, the health category of the user can be further refined, and the user category and health category can be accurately identified to ensure that the purification mode of the air purifier is more personalized and targeted, thereby improving the accuracy of air purification. By analyzing the concentration of fine particulate matter and carbon dioxide in indoor environmental information, the type and concentration of the main pollutants can be accurately located to help the air purifier take more targeted purification measures and improve purification efficiency. By comprehensively analyzing the user category, health category, main pollutant type, and concentration, the most suitable purification mode for the current environment can be predicted, and the purification mode can be adjusted according to real-time data changes to ensure that it always meets the current environmental and user needs, avoiding ineffective or excessive purification in a fixed mode and improving air purification efficiency. According to the predicted target purification mode, the working state of the air purifier, such as wind speed, filter replacement frequency, and ultraviolet sterilization intensity, can be automatically adjusted. When the indoor environment changes, the air purifier can quickly respond and adjust the working state in time to maintain the optimal state of indoor air quality and improve the accuracy and efficiency of air purification.

[0066] Optionally, in the present embodiment, the network can include but is not limited to a wireless network, wherein the wireless network includes Bluetooth, WIFI, and other networks that enable wireless communication. The server can be a single server, a server cluster composed of multiple servers, or a cloud server. The above is only an example, and the present embodiment does not make any limitation on this.

[0067] As an optional example, the present embodiment does not limit the execution subject of the above-mentioned air purification control method based on user information, and part or all of the steps of the air purification control method based on user information can be executed on the target air purifier 101.

[0068] In an embodiment of the present application, an air purification control method based on user information is provided. Figure 2 is a flowchart of an air purification control method based on user information according to an exemplary embodiment of the present application, as shown in Figure 2 The air purification control method based on user information includes the steps described in S210 to S240 as follows:

[0069] In step S210, user information and indoor environmental information corresponding to the environment where the target air purifier is located are obtained.

[0070] The user information includes the user's age, gender, height, weight, medical history, current health status, real-time vital data (such as heart rate, blood pressure, blood oxygen saturation), historical sleep time and exercise frequency, etc., which can help the system understand the user's health status and living habits. The indoor environment information includes indoor temperature, humidity, fine particulate matter concentration (PM2.5), carbon dioxide concentration (CO2), etc., which reflects the current indoor environmental pollution and comfort level.

[0071] For example, user information and indoor environment information can be stored on local devices such as air purifier built-in storage modules or user's smartphones, or uploaded to cloud servers for centralized management and analysis. The temperature and humidity sensor, PM2.5 sensor and CO2 sensor installed in the room can monitor the indoor environmental parameters in real time. The sensor transmits data to the air purifier or cloud server through wireless communication technology

[0072] For example, there is a family user, and an air purifier is installed in the home, and the user wears a smart bracelet. The user manually inputs personal information through the mobile phone, including age (35 years old), gender (male), medical history (none), current health status (good). The user inputs the historical sleep time and exercise frequency, such as going to bed at 10 pm every night, getting up at 6 am every morning, and exercising 3 times a week. The smart bracelet worn by the user monitors the heart rate (75 bpm), blood pressure (120 / 80 mmHg), and blood oxygen saturation (98%), and the smart bracelet transmits these data to the user's mobile phone through Bluetooth. The mobile phone stores the collected user information in the local database. The user can also choose to synchronize the data to the cloud server for the air purifier to access and analyze. The temperature and humidity sensor installed in the room monitors the indoor temperature (22°C) and humidity (50%), the PM2.5 sensor monitors the fine particulate matter concentration (30 μg / m), and the CO2 sensor monitors the carbon dioxide concentration (500 ppm). The sensor transmits the monitored data to the air purifier or cloud server through the network, and the communication module built-in the air purifier receives these data and stores them in the local storage module.

[0073] In step S220, the user information is analyzed to determine the user category and health category, and the indoor environment information is analyzed to determine the main pollutant type and pollutant concentration.

[0074] According to the user information, the user is divided into different categories, such as healthy user, sub-healthy user, mild discomfort user and severe discomfort user. Further refine the user's health category, such as healthy, mild discomfort, severe discomfort, etc. According to the indoor environment information, determine the main pollutant type of the current indoor environment, such as fine particulate matter, carbon dioxide, etc., and then determine the specific concentration level of the main pollutant in the current indoor environment.

[0075] In step S230, the user category, the health category, the main pollutant type and the pollutant concentration are used to predict the purification mode of the target air purifier, and a target purification mode is obtained.

[0076] In step S240, the working state of the target air purifier is adjusted according to the target purification mode.

[0077] The purification mode predicted according to the user category, the health category, the main pollutant type and the pollutant concentration is, for example, a standard mode, a medium mode, a high-efficiency mode, etc. According to the target purification mode, the air purifier is adjusted in terms of wind speed, filter replacement frequency, ultraviolet sterilization intensity, humidity adjustment and other functional parameters to achieve the best purification effect; the working state of the air purifier is controlled through an embedded system or a cloud platform; a user interface (such as a mobile application, a touch screen) is provided to display the current working state and historical records, facilitating user viewing and adjustment.

[0078] By analyzing the age, gender, medical history and other information in the user information, the user can be classified into multiple user categories such as healthy users, sub-healthy users, mildly ill users and severely ill users. Different user categories have different demands and sensitivities to air quality. By analyzing the health status and real-time physical data in the user information, the health category of the user can be further refined, and the user category and health category can be accurately identified to ensure that the purification mode of the air purifier is more personalized and targeted, thereby improving the accuracy of air purification. By analyzing the fine particulate matter concentration and carbon dioxide concentration in the indoor environment information, the main pollutant type and concentration can be accurately located to help the air purifier take more targeted purification measures and improve purification efficiency. The user category, health category, main pollutant type and concentration are comprehensively analyzed to predict the most suitable purification mode for the current environment. According to the changes in real-time data, it is ensured that the purification mode always meets the needs of the current environment and the user, avoiding ineffective or excessive purification in a fixed mode, and improving the efficiency of air purification. According to the predicted target purification mode, the working state of the air purifier, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc., is automatically adjusted. When the indoor environment changes, the air purifier can quickly respond and adjust the working state in time to maintain the optimal state of indoor air quality and improve the accuracy and efficiency of air purification.

[0079] In an embodiment of the present application, the user information includes age, gender, height, weight, medical history, current health status, real-time physical data, historical work and rest time, exercise frequency.

[0080] The indoor environment information includes indoor temperature, indoor humidity, fine particulate matter concentration and carbon dioxide concentration.

[0081] For example, refer to Figure 3 , Figure 3 is a content diagram of user information shown in an example embodiment of the present application. It can be known from Figure 3 that age is the age of the user, the unit is years, age can help the system understand the physiological state and health needs of the user; gender is the gender of the user, male or female, gender difference may affect the normal range of some health indicators; height is the height of the user, the unit is centimeters, height can be used to calculate body mass index (BMI); weight is the weight of the user, the unit is kilograms, weight and height are used together to calculate BMI to assess the health status of the user; past medical history is the past medical history of the user, such as asthma, heart disease, etc. Past medical history can help the system understand the special health needs of the user; current health status is the current health status of the user, such as good, mild discomfort, severe discomfort, etc. Current health status directly affects the user's air purification needs; real-time vital sign data is the real-time vital sign data of the user, such as heart rate, blood pressure, blood oxygen saturation, etc. These data can reflect the user's immediate health status; historical work and rest time is the sleep time and work and rest regularity of the user, such as going to bed at 10 pm every night and getting up at 6 am in the morning. Work and rest time can help the system predict the user's activity pattern; exercise frequency is the exercise frequency of the user, such as exercising 3 times a week. Exercise frequency can reflect the user's health habits and physical condition.

[0082] For example, refer to Figure 4 , Figure 4 is a content diagram of indoor environment information shown in an example embodiment of the present application. It can be known from Figure 4 that indoor temperature is the temperature of the indoor environment, the unit is Celsius, temperature affects the comfort and air quality of the user; indoor humidity is the humidity of the indoor environment, the unit is percentage, humidity affects the suspension of particulate matter in the air and the growth of microorganisms; fine particulate matter concentration is the concentration of fine particulate matter (PM2.5) in the indoor environment, the unit is micrograms per cubic meter (μg / m³), fine particulate matter concentration directly affects air quality; carbon dioxide concentration is the carbon dioxide concentration in the indoor environment, the unit is parts per million (ppm), carbon dioxide concentration reflects indoor ventilation conditions and personnel density.

[0083] In this embodiment, by analyzing the user's age, gender, medical history and other information, the air purifier can provide personalized purification mode to meet the needs of different users. According to the user's real-time physical data and indoor environmental information, the air purifier can adjust the working state in real time to ensure that the indoor air quality is always in the best state. By analyzing the concentration of fine particulate matter and carbon dioxide, the air purifier can adjust the purification mode accordingly to improve the purification efficiency. Avoid unnecessary high-power operation and reduce energy waste. For example, in the case of good indoor environmental quality, the air purifier can automatically switch to low-power mode to save electricity. By analyzing the user's current health status and real-time physical data, the air purifier can timely discover potential health risks and take appropriate purification measures. In the case of high concentration of indoor pollutants, the air purifier can start high-efficiency mode in advance to prevent health problems.

[0084] In an embodiment of the present application, the user information is analyzed to determine the user category and the health category, comprising:

[0085] Removing missing values and outliers in the user information to obtain first preprocessed user information;

[0086] Standardizing the continuous data in the first preprocessed user information to obtain second preprocessed user information;

[0087] One-hot encoding the categorical variables in the second preprocessed user information to obtain third preprocessed user information;

[0088] Extracting physiological index features, lifestyle habit features and health history features from the third preprocessed user information;

[0089] Determining the user category based on the physiological index features and the lifestyle habit features, and determining the health category based on the physiological index features and the health history features.

[0090] Wherein, the missing values and outliers in the user information are removed to ensure the integrity and accuracy of the data, and to avoid model training errors caused by missing values and outliers. When handling missing values, interpolation methods such as mean, median, mode or forward filling can be used to fill in missing values; when handling outliers, statistical methods can be used to detect and remove outliers.

[0091] The standardization processing of the continuous data in the first pre-processed user information is to make different features have the same scale, improve the stability and convergence speed of model training. The continuous data is processed using the standardization or normalization method. Standardization can convert data into a standard normal distribution with a mean of 0 and a standard deviation of 1. Normalization can scale data between 0 and 1.

[0092] The one-hot encoding of the classification variable in the second pre-processed user information is to convert the classification variable into a numerical form for model processing. The classification variable is converted into multiple binary features using one-hot encoding.

[0093] The physiological index features include age, height, weight, heart rate, blood pressure, and blood oxygen saturation. The lifestyle habit features include sleep time and exercise frequency. The health history features include past medical history and current health status.

[0094] According to the physiological index and lifestyle habit features, the user is classified into different categories, such as healthy user, sub-healthy user, mild discomfort user, and severe discomfort user. According to the physiological index and health history features, the user's health status is further refined, such as healthy, mild discomfort, severe discomfort, etc.

[0095] In this embodiment, removing missing values and outliers can ensure the integrity and accuracy of the data, avoid model training errors caused by missing values and outliers, and improve the robustness and generalization ability of the model. Standardization processing can make different features have the same scale, improve the stability and convergence speed of model training, and avoid the influence of dimension difference between features on the model. One-hot encoding can convert classification variables into numerical form for model processing, improving the expression ability of features. Feature extraction can extract physiological index features, lifestyle habit features, and health history features from pre-processed user information to ensure that the model can fully utilize these information for classification. According to the physiological index and lifestyle habit features, the user is classified into different categories, such as healthy user, sub-healthy user, mild discomfort user, and severe discomfort user, to improve the accuracy and reliability of classification. According to the physiological index and health history features, the user's health status is further refined, such as healthy, mild discomfort, severe discomfort, etc., to improve the recognition accuracy of health categories.

[0096] In an embodiment of the present application, the indoor environment information is analyzed to determine the main pollutant type and pollutant concentration, including:

[0097] The missing values and outliers in the indoor environment information are removed to obtain first pre-processed indoor environment information;

[0098] standardizing the numerical features in the first pre-processed indoor environment information to obtain second pre-processed indoor environment information;

[0099] extracting particulate matter pollution features, ventilation influence features, and temperature and humidity features from the second pre-processed indoor environment information, and performing cluster analysis on the particulate matter pollution features, ventilation influence features, and temperature and humidity features to determine the main pollutant type and pollutant concentration.

[0100] In the embodiment of the present application, the numerical features in the first pre-processed indoor environment information are standardized, so that different features have the same scale. Standardization or normalization methods can be used to process the numerical features.

[0101] In the embodiment of the present application, the numerical features in the first pre-processed indoor environment information are standardized, so that different features have the same scale. Standardization or normalization methods can be used to process the numerical features.

[0102] In the embodiment of the present application, the numerical features in the first pre-processed indoor environment information are standardized, so that different features have the same scale. Standardization or normalization methods can be used to process the numerical features.

[0103] In the embodiment of the present application, the numerical features in the first pre-processed indoor environment information are standardized, so that different features have the same scale. Standardization or normalization methods can be used to process the numerical features.

[0104] In the embodiment of the present application, the numerical features in the first pre-processed indoor environment information are standardized, so that different features have the same scale. Standardization or normalization methods can be used to process the numerical features.

[0105] According to the user category, determine the sensitivity of the user to air quality, and according to the health category, determine the purification demand of the user;

[0106] weighting and summing the sensitivity and the purification demand to obtain an initial purification mode;

[0107] According to the main pollutant type, determine the corresponding purification mode of the target air purifier, and according to the pollutant concentration, determine the corresponding purification intensity of the target air purifier;

[0108] Based on the purification mode and the purification intensity, adjust the initial purification mode to obtain the target purification mode of the target air purifier.

[0109] For example, according to the user's age, gender, medical history, current health status and other information, the user is divided into different categories, such as healthy users, sub-healthy users, mild discomfort users and severe discomfort users. The sensitivity of healthy users to air quality is lower, while the sensitivity of severe discomfort users to air quality is higher. Sensitivity can be represented by a numerical value, such as a score between 0 and 10. According to the user's physiological indicators and health history characteristics, the user's health status is divided into different categories, such as healthy, mild discomfort, and severe discomfort. The purification demand of healthy users is lower, while the purification demand of severe discomfort users is higher. Purification demand can also be represented by a numerical value, such as a score between 0 and 10. The sensitivity and purification demand of the user are weighted and summed to obtain a comprehensive score, which is used to determine the initial purification mode. The weights of sensitivity and purification demand can be adjusted according to actual conditions, for example, the sensitivity weight is 0.6 and the purification demand weight is 0.4. According to the indoor environment information, determine the main pollutant type, such as fine particulate matter (PM2.5), coarse particulate matter (PM10), carbon dioxide (CO2), etc. For different pollutant types, select the corresponding purification mode, such as activated carbon adsorption, ultraviolet sterilization, etc. According to the indoor environment information, determine the specific concentration level of the main pollutant, and according to the pollutant concentration, determine the working intensity of the purifier, such as low speed, medium speed, high speed. Combine the initial purification mode, purification mode and purification intensity to adjust the working state of the air purifier to obtain the final target purification mode.

[0110] In this embodiment, by analyzing the user category and health category, the sensitivity and purification demand of the user are determined to provide personalized air purification service. The initial purification mode is obtained by weighting and summing to ensure that the purification mode meets the actual needs of the user. According to the main pollutant type and concentration, the most suitable purification mode and intensity are selected to improve the purification efficiency. According to the changes of indoor environment, dynamically adjust the purification mode to ensure that the indoor air quality is always in the best state.

[0111] In an embodiment of the present application, the adjusting the working state of the target air purifier according to the target purification mode comprises:

[0112] According to the target purification mode, a filter screen type of the target air purifier is selected;

[0113] Based on the filter screen type, a wind speed adjustment period is determined to adjust the wind speed of the target air purifier within the wind speed adjustment period;

[0114] Based on the target purification mode, the working state of a fresh air unit and a condensation dehumidification unit is adjusted, and the standby mode of the target air purifier is controlled.

[0115] For example, the purification mode predicted according to the user category, the health category, the main pollutant type and the pollutant concentration is, for example, a standard mode, a medium mode, a high-efficiency mode, etc. According to the target purification mode, a suitable filter screen type is selected, such as a HEPA filter screen, an activated carbon filter screen, a photocatalyst filter screen, etc. According to the selected filter screen type, the wind speed adjustment period is determined, such as adjustment once per hour or adjustment once every two hours. Within the wind speed adjustment period, the wind speed of the air purifier is dynamically adjusted according to the changes in the indoor environment and the user demand. According to the target purification mode, the working state of the fresh air unit is adjusted, such as turning on, turning off or adjusting the wind speed. According to the target purification mode, the working state of the condensation dehumidification unit is adjusted, such as turning on, turning off or adjusting the dehumidification intensity. According to the target purification mode and the changes in the indoor environment, the time and the condition for the air purifier to enter the standby mode are controlled.

[0116] In this embodiment, according to the target purification mode, a suitable filter screen type is selected to ensure that the air purifier can effectively remove the main pollutants and improve the purification effect. According to the filter screen type, the wind speed adjustment period is determined, and the wind speed is dynamically adjusted within the period to ensure that the air purifier can maintain high purification capacity under different environmental conditions. According to the target purification mode, the working state of the fresh air unit is adjusted to reasonably introduce fresh air to improve the indoor air quality while avoiding unnecessary energy consumption. According to the target purification mode, the working state of the condensation dehumidification unit is adjusted to maintain the appropriate humidity in the room and improve the user's comfort while saving energy.

[0117] In an embodiment of the present application, after the working state of the target air purifier is adjusted according to the target purification mode, the method further comprises:

[0118] Obtaining section information, the section information being the user information, the indoor environment information and the target purification mode collected within a preset period;

[0119] According to the section information, a plurality of encryption categories are determined;

[0120] According to a preset hash function processing strategy corresponding to each encryption category, the section information corresponding to each encryption category is processed to obtain an initial hash code;

[0121] determining a separation weight according to the section information corresponding to each encryption category;

[0122] inserting a separation symbol in the initial hash code according to the separation weight to obtain a target hash code;

[0123] transmitting the target hash code to a vendor server, so that the vendor server stores or analyzes the section information based on the target hash code.

[0124] For example, the section information is user information, indoor environment information and target purification mode collected in a preset period. According to the characteristics of the section information, the section information is divided into multiple encryption categories, such as user category, health category, main pollutant type, etc. A suitable hash function is selected for each encryption category, such as SHA-256, MD5, etc. The selected hash function is used to process the section information corresponding to each encryption category to generate an initial hash code. According to the importance and sensitivity of the section information, a separation weight is assigned to each encryption category. For example, user information and health category may have higher importance and sensitivity, so the separation weight is higher. The separation symbol is a symbol used to distinguish the initial hash codes generated by different encryption categories. According to the separation weight, the separation symbol is inserted into the initial hash code to generate the final target hash code. The generated target hash code is transmitted to the vendor server through a secure channel. The vendor server stores or analyzes the section information based on the target hash code, ensuring the security and privacy protection of the data.

[0125] In this embodiment, the section information is hashed to generate an initial hash code, ensuring that the data is not tampered with during transmission. The separation symbol is inserted into the initial hash code to generate the target hash code, further increasing the security of the data. The section information is divided into multiple encryption categories and hashed separately to ensure that the data of each category is encrypted and protected. According to the importance and sensitivity of the section information, a separation weight is assigned to each encryption category to ensure that sensitive information is protected at a higher level. The generated target hash code has uniqueness and fixed length, which is suitable for efficient transmission in the network.

[0126] From the above embodiments, by analyzing the age, gender, medical history and other information in the user information, the user can be divided into healthy users, sub-healthy users, mild discomfort users and severe discomfort users, and different user categories have different demands and sensitivities to air quality. By analyzing the health status and real-time physical data in the user information, the health category of the user can be further refined, and the user category and health category can be accurately identified to ensure that the purification mode of the air purifier is more personalized and targeted, thereby improving the accuracy of air purification. By analyzing the concentration of fine particulate matter and carbon dioxide in the indoor environment information, the main pollutant type and concentration can be accurately located to help the air purifier take more targeted purification measures and improve the purification efficiency. By comprehensively analyzing the user category, health category, main pollutant type and concentration, the most suitable purification mode for the current environment is predicted, and the purification mode is always in line with the current environment and user needs according to the changes in real-time data, avoiding ineffective or excessive purification in fixed mode and improving the efficiency of air purification. According to the predicted target purification mode, the working state of the air purifier is automatically adjusted, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can quickly respond and adjust the working state in time to maintain the optimal state of indoor air quality and improve the accuracy and efficiency of air purification.

[0127] In an embodiment of the present application, an air purification control device based on user information is also provided. Figure 5 is a schematic diagram of an air purification control device based on user information according to an exemplary embodiment of the present application, referring to Figure 5 The device comprises:

[0128] An information acquisition module 501 is configured to acquire user information and indoor environment information corresponding to an environment in which a target air purifier is located.

[0129] An information analysis module 502 is configured to analyze the user information to determine user categories and health categories, and analyze the indoor environment information to determine main pollutant types and pollutant concentrations.

[0130] A mode prediction module 503 is configured to predict the purification mode of the target air purifier based on the user categories, health categories, main pollutant types and pollutant concentrations, and obtain a target purification mode.

[0131] An adjustment module 504 is configured to adjust the working state of the target air purifier according to the target purification mode.

[0132] The air purification control device based on user information in the embodiments of the present application can divide users into multiple user categories such as healthy users, sub-healthy users, mildly ill users, and severely ill users by analyzing age, gender, and previous medical history in user information. Different user categories have different demands and sensitivities to air quality. By analyzing health status and real-time physical data in user information, the health categories of users can be further refined, and the user categories and health categories can be accurately identified to ensure that the purification mode of the air purifier is more personalized and targeted, thereby improving the accuracy of air purification. By analyzing the concentration of fine particulate matter and the concentration of carbon dioxide in indoor environmental information, the main pollutant type and concentration can be accurately located to help the air purifier take more targeted purification measures and improve purification efficiency. The user category, health category, main pollutant type, and concentration are comprehensively analyzed to predict the most suitable purification mode for the current environment. According to the changes in real-time data, it is ensured that the purification mode always meets the needs of the current environment and users, avoiding ineffective or excessive purification in a fixed mode and improving the efficiency of air purification. According to the predicted target purification mode, the working state of the air purifier such as wind speed, filter replacement frequency, and ultraviolet sterilization intensity is automatically adjusted. When the indoor environment changes, the air purifier can quickly respond and adjust the working state in time to maintain the optimal state of indoor air quality and improve the accuracy and efficiency of air purification.

[0133] The specific embodiments of the air purification control device based on user information in the present application can refer to the examples shown in the above-mentioned air purification control method based on user information, which will not be described here in this example.

[0134] In an embodiment of the present application, an electronic device for implementing the above-mentioned air purification control method based on user information is also provided. The electronic device includes a memory and a processor, the memory stores a computer program, and the processor is configured to execute the above-mentioned air purification control method based on user information through the computer program.

[0135] Referring to Figure 6 , Figure 6Fig. 6 is a structural diagram of an electronic device according to an example embodiment of the present application. A computer system 600 includes a central processing unit (CPU) 601 which can perform various appropriate actions and processes in accordance with a program stored in a read-only memory (ROM) 602 or a program loaded from a storage section 608 into a random access memory (RAM) 603, such as performing the methods described in the above embodiments. Various programs and data required for system operation are also stored in the RAM 603. The CPU 601, the ROM 602, and the RAM 603 are connected to each other through a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0136] Connected to the I / O interface 605 are an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as necessary. A removable recording medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive 610 as necessary, so that a computer program read therefrom is installed into the storage section 608 as necessary.

[0137] In particular, according to the embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, the embodiments of the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing a computer program for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 609, and / or installed from the removable recording medium 611. When the computer program is executed by the central processing unit (CPU) 601, various functions defined in the systems of the present application are performed.

[0138] It should be noted that the computer-readable medium in the embodiments shown in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may, for example, be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer-readable signal medium can include a data signal propagating in a baseband or as a carrier wave in a propagated data signal, in which the computer-readable computer program is carried. Such a propagated data signal can take various forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, which can send, propagate or transmit programs for use by or in connection with an instruction execution system, device or component. The computer program contained on the computer-readable medium can be transmitted by any suitable medium, including but not limited to wireless, wired, or the like, or any suitable combination of the above.

[0139] The flowcharts and block diagrams in the drawings illustrate the possible implementation architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In the flowcharts or block diagrams, each block can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different order than that shown in the drawings. For example, two blocks represented in succession can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0140] The units described in the embodiments of the present application can be implemented in the form of software, or can be implemented in the form of hardware, and the described units can also be arranged in a processor. In some cases, the names of the units do not constitute a limitation on the units themselves.

[0141] Another aspect of the present application also provides a computer readable storage medium including a stored computer program, wherein the computer program, when executed, performs the air purification control method based on user information described above. The computer readable storage medium can be included in the electronic device described in the above embodiments, or can exist separately without being assembled into the electronic device.

[0142] Another aspect of the present application also provides a computer program product or computer program including computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to make the computer device perform the air purification control method based on user information provided in each of the above embodiments.

[0143] The above embodiments only exemplarily illustrate the principles and effects of the present application, and are not used to limit the present application. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical thought of the present application should be covered by the claims of the present application.

Claims

1. An air purification control method based on user information, characterized by, The method comprises: obtaining user information and indoor environment information corresponding to an environment in which a target air purifier is located; analyzing the user information to determine a user category and a health category, and analyzing the indoor environment information to determine a main pollutant type and a pollutant concentration; predicting a purification mode of the target air purifier based on the user category, the health category, the main pollutant type, and the pollutant concentration, to obtain a target purification mode; adjusting a working state of the target air purifier according to the target purification mode. The method comprises: determining a user sensitivity to air quality based on the user category, and determining a user purification requirement based on the health category; performing weighted summation on the sensitivity and the purification requirement to obtain an initial purification mode; determining a purification method corresponding to the target air purifier based on the main pollutant type, and determining a purification intensity corresponding to the target air purifier based on the pollutant concentration; adjusting the initial purification mode based on the purification method and the purification intensity to obtain the target purification mode of the target air purifier.

2. The air purification control method based on user information according to claim 1, wherein: the user information comprises age, gender, height, weight, previous medical history, current health status, real-time physical sign data, historical work and rest time, and exercise frequency; the indoor environment information comprises indoor temperature, indoor humidity, fine particulate matter concentration, and carbon dioxide concentration.

3. The user information-based air purification control method of claim 1, wherein, The method comprises: removing missing values and abnormal values in the user information to obtain first preprocessed user information; performing standardization processing on continuous data in the first preprocessed user information to obtain second preprocessed user information; performing one-hot encoding on classification variables in the second preprocessed user information to obtain third preprocessed user information; extracting physiological index features, living habit features, and health history features from the third preprocessed user information; determining the user category based on the physiological index features and the living habit features, and determining the health category based on the physiological index features and the health history features.

4. The user information-based air purification control method of claim 1, wherein, The method comprises: removing missing values and abnormal values in the indoor environment information to obtain first preprocessed indoor environment information; performing standardization processing on numerical features in the first preprocessed indoor environment information to obtain second preprocessed indoor environment information; extracting particulate matter pollution features, ventilation influence features, and temperature and humidity features from the second preprocessed indoor environment information, and performing cluster analysis on the particulate matter pollution features, the ventilation influence features, and the temperature and humidity features to determine the main pollutant type and the pollutant concentration.

5. The user information-based air purification control method of claim 1, wherein, The method comprises: According to the target purification mode, the filter screen type of the target air purifier is selected; Based on the filter screen type, a wind speed adjustment period is determined to adjust the wind speed of the target air purifier within the wind speed adjustment period; Based on the target purification mode, the working state of the fresh air unit and the condensation dehumidification unit is adjusted, and the standby mode of the target air purifier is controlled.

6. The user information-based air purification control method according to claim 1, wherein After adjusting the working state of the target air purifier according to the target purification mode, the method further comprises: Obtaining section information, the section information being the user information, the indoor environment information and the target purification mode collected within a preset period; According to the section information, a plurality of encryption categories are determined; According to a preset hash function processing strategy corresponding to each encryption category, the section information corresponding to each encryption category is processed to obtain an initial hash code; According to the section information corresponding to each encryption category, a separation weight is determined; According to the separation weight, a separation symbol is inserted in the initial hash code to obtain a target hash code; The target hash code is transmitted to a manufacturer server, so that the manufacturer server stores or analyzes the section information based on the target hash code.

7. An air purification control device based on user information, characterized by, The device comprises: An information acquisition module for acquiring user information and indoor environment information corresponding to the environment in which the target air purifier is located; An information analysis module for analyzing the user information to determine a user category and a health category, and analyzing the indoor environment information to determine a main pollutant type and a pollutant concentration; A mode prediction module for predicting the purification mode of the target air purifier based on the user category, the health category, the main pollutant type and the pollutant concentration to obtain a target purification mode; An adjustment module for adjusting the working state of the target air purifier according to the target purification mode; The prediction of the purification mode of the target air purifier based on the user category, the health category, the main pollutant type and the pollutant concentration comprises: According to the user category, the sensitivity of the user to air quality is determined, and according to the health category, the purification demand of the user is determined; The sensitivity and the purification demand are weighted and summed to obtain an initial purification mode; According to the main pollutant type, the purification method corresponding to the target air purifier is determined, and according to the pollutant concentration, the purification intensity corresponding to the target air purifier is determined; Based on the purification method and the purification intensity, the initial purification mode is adjusted to obtain the target purification mode of the target air purifier.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises a stored computer program, wherein the computer program executes the air purification control method based on user information according to any one of claims 1 to 6 when running.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the air purification control method based on user information according to any one of claims 1 to 6 by using the computer program.

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