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

Abstract

The invention relates to the technical field of air purification system control, and provides an air purification control method, device and equipment based on user information and a medium, and the method comprises the steps that user information and indoor environment information corresponding to the environment where a target air purifier is located are obtained; analyzing the user information, determining a user category and a health category, analyzing the indoor environment information, and determining a main pollutant type and pollutant concentration; predicting the purification mode of the target air purifier according to the user type, the health type, the main pollutant type and the pollutant concentration to obtain a target purification mode; and according to the target purification mode, the working state of the target air purifier is adjusted. According to the method, the user type, the health type, the main pollutant type and the concentration are comprehensively analyzed, the purification mode most suitable for the current environment is predicted, it is ensured that the purification mode always meets the requirements of the current environment and the user, invalid or excessive purification in 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, and in particular to an air purification control method, device, equipment and medium based on user information. Background Art

[0002] A household air purifier is a device used to improve indoor air quality. It mainly cleans the air through mechanical filtration, adsorption technology, negative ion technology, photocatalysis and ozone generation technologies.

[0003] In the existing working mode of household air purifiers, the purification effect is mainly controlled by timer switches, air quality sensors and manual adjustments. When using these air purifiers, users can only choose from several fixed purification modes pre-generated by the manufacturer based on the indoor air quality collected by the air quality sensor. However, the fixed purification modes are limited in the scenarios they can adapt to. Different combinations of user needs and indoor air environments can generate a large number of application scenarios, and the limited purification modes cannot adapt to these large number of application scenarios, which leads to insufficient accuracy of air purification. In addition, whenever a user uses a household air purifier, he needs to manually adjust the household air purifier frequently 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 that needs to be solved urgently. Summary of the invention

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

[0006] To achieve the above objectives and other related objectives, the present application provides an air purification control method based on user information, the method comprising: Obtain user information and indoor environment information corresponding to the environment where the target air purifier is located; 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; The purification mode of the target air purifier is predicted based on the user category, the health category, the main pollutant type and the pollutant concentration to obtain a target purification mode; According to the target purification mode, the working state of the target air purifier is adjusted.

[0007] In some embodiments, the user information includes: age, gender, height, weight, medical history, current health status, real-time physical sign data, historical work and rest time, and exercise frequency; The indoor environment information includes: indoor temperature, indoor humidity, fine particle concentration, and carbon dioxide concentration.

[0008] In some implementations, analyzing the user information to determine the user category and health category includes: Removing missing values ​​and abnormal values ​​from the user information to obtain first preprocessed user information; performing standardization processing on the continuous data in the first pre-processed user information to obtain second pre-processed user information; Performing one-hot encoding on the categorical variables in the second preprocessed user information to obtain third preprocessed user information; Extracting physiological index characteristics, living habit characteristics and health history characteristics from the third pre-processed user information; The user category is determined based on the physiological indicator characteristics and the life habit characteristics, and the health category is determined based on the physiological indicator characteristics and the health history characteristics.

[0009] In some embodiments, analyzing the indoor environment information to determine the main pollutant types and pollutant concentrations includes: Removing missing values ​​and abnormal values ​​from the indoor environment information to obtain first pre-processed indoor environment information; performing standardization processing on the numerical features in the first pre-processed indoor environment information to obtain second pre-processed indoor environment information; Extract the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics in the second pre-processed indoor environment information, and perform cluster analysis on the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics to determine the main pollutant types and pollutant concentrations.

[0010] In some embodiments, 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 includes: Determine the user's sensitivity to air quality according to the user category, and determine the user's purification needs according to the health category; Performing a weighted summation on the sensitivity and the purification requirement to obtain an initial purification mode; Determine the purification mode corresponding to the target air purifier according to the main pollutant type, and determine the purification intensity corresponding to the target air purifier according to the pollutant concentration; Based on the purification method and the purification intensity, the initial purification mode is adjusted to obtain a target purification mode of the target air purifier.

[0011] In some embodiments, adjusting the working state of the target air purifier according to the target purification mode includes: According to the target purification mode, selecting a filter type of the target air purifier; Based on the filter type, determining a wind speed adjustment period to adjust the wind speed of the target air purifier within the wind speed adjustment period; Based on the target purification mode, the working states of the fresh air unit and the condensation and dehumidification unit are adjusted, and the standby mode of the target air purifier is controlled.

[0012] In some embodiments, after adjusting the working state of the target air purifier according to the target purification mode, the method further includes: Acquire segment information, where the segment information is the user information, the indoor environment information, and the target purification mode collected within a preset time period; Determining a plurality of encryption categories according to the segment information; Processing the segment information corresponding to each encryption category according to a preset hash function processing strategy corresponding to each encryption category to obtain an initial hash code; Determining a separation weight according to the segment information corresponding to each encryption category; inserting a separation symbol into the initial hash code according to the separation weight 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 segment information based on the target hash code.

[0013] In one embodiment of the present application, an air purification control device based on user information is also provided, the device comprising: An information acquisition module is used to obtain user information and indoor environment information corresponding to the environment where the target air purifier is located; An information analysis module, used to analyze the user information to determine the user category and health category, and to analyze the indoor environment information to determine the main pollutant types and pollutant concentrations; A mode prediction module, used to predict the 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; An adjustment module is used to adjust the working state of the target air purifier according to the target purification mode.

[0014] In one embodiment of the present application, a computer-readable storage medium is further provided, wherein the computer-readable storage medium includes a stored computer program, wherein the computer program executes the above-mentioned air purification control method based on user information when running.

[0015] In one embodiment of the present application, an electronic device is also provided, including a memory and a processor, wherein 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.

[0016] Beneficial effects of the present invention: First, obtain the user information and indoor environment information corresponding to the environment in which the target air purifier is located; then, analyze the user information, determine the user category and health category, and analyze the indoor environment information to determine the main pollutant type and pollutant concentration; then, 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 to obtain the target purification mode; finally, according to the target purification mode, adjust the working state of the target air purifier. In this application, by analyzing the age, gender, past medical history and other information in the user information, users can be divided into multiple user categories such as healthy users, sub-healthy users, mildly uncomfortable users and severely uncomfortable users. Different user categories have different needs and sensitivities to air quality. By analyzing the health status and real-time physical sign data in the user information, the user's health category can be further refined, and the user category and health category can be accurately identified, which can 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 types and concentrations can be accurately located, helping the air purifier to take more targeted purification measures and improve purification efficiency. Comprehensively analyze user categories, health categories, major pollutant types and concentrations to predict the most suitable purification mode for the current environment. According to the changes in real-time data, ensure that the purification mode always meets the current environment and user needs, avoid ineffective or excessive purification in fixed modes, and improve the efficiency of air purification. According to the predicted target purification mode, automatically adjust the working state of the air purifier, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can respond quickly 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 THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute 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: Figure 1 is a schematic diagram of an application environment of an air purification control method based on user information shown in an exemplary embodiment of the present application; Figure 2 is a flow chart of an air purification control method based on user information shown in an exemplary embodiment of the present application; Figure 3 is a schematic diagram of the content of user information shown in an exemplary embodiment of the present application; Figure 4 is a schematic diagram of the content of indoor environment information shown in an exemplary embodiment of the present application; Figure 5 is a schematic diagram of an air purification control device based on user information shown in an exemplary embodiment of the present application; Figure 6 It is a schematic diagram of the structure of an electronic device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0019] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] In one embodiment of the present application, an air purification control method based on user information is provided. Optionally, as an optional implementation, the air purification control method based on user information can be applied to, but is not limited to, Figure 1 in the environment shown. Figure 1 is a schematic diagram of an application environment of an air purification control method based on user information shown in an exemplary 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.

[0021] 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.

[0022] 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: Obtain user information and indoor environment information corresponding to the environment where the target air purifier is located; 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; The purification mode of the target air purifier is predicted based on the user category, the health category, the main pollutant type and the pollutant concentration to obtain a target purification mode; According to the target purification mode, the working state of the target air purifier is adjusted.

[0023] 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.

[0024] In the above method, by analyzing the age, gender, medical history and other information in the user information, users can be divided into multiple user categories such as healthy users, sub-healthy users, mildly uncomfortable users and severely uncomfortable users. Different user categories have different needs and sensitivities to air quality. By analyzing the health status and real-time physical sign data in the user information, the user's health category can be further refined. Accurately identifying the user category and health category can 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 particles and carbon dioxide in the indoor environment information, the main pollutant types and concentrations can be accurately located, helping the air purifier to take more targeted purification measures and improve the purification efficiency. Comprehensive analysis of user categories, health categories, main pollutant types and concentrations is carried out to predict the purification mode that best suits 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 invalid or excessive purification in a fixed mode, and improving the efficiency of air purification. According to the predicted target purification mode, the air purifier's working state is automatically adjusted, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can respond quickly 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.

[0025] Optionally, in this embodiment, the network may include but is not limited to: a wireless network, wherein the wireless network includes: Bluetooth, WIFI and other networks that implement wireless communication. The server may be a single server, or a server cluster consisting of multiple servers, or a cloud server. The above is only an example, and this embodiment does not make any limitation to this.

[0026] As an optional example, this embodiment does not limit the execution subject of the above-mentioned air purification control method based on user information. Some or all steps of the above-mentioned air purification control method based on user information can be executed on the target air purifier 101.

[0027] In one 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 shown in an exemplary embodiment of the present application, see Figure 2 The air purification control method based on user information includes the following steps S210 to S240: In step S210, user information and indoor environment information corresponding to the environment in which the target air purifier is located are obtained.

[0028] Among them, user information includes the user's age, gender, height, weight, medical history, current health status, real-time physical data (such as heart rate, blood pressure, blood oxygen saturation), historical work and rest time and exercise frequency, etc. This information can help the system understand the user's health status and living habits. Indoor environment information includes indoor temperature, humidity, fine particulate matter concentration (PM2.5), carbon dioxide concentration (CO2), etc. This information reflects the current indoor environmental pollution status and comfort.

[0029] For example, user information and indoor environment information can be stored on local devices, such as the storage module built into the air purifier or the user's smartphone, or uploaded to a cloud server for centralized management and analysis. Temperature and humidity sensors, PM2.5 sensors, and CO2 sensors installed indoors can monitor indoor environmental parameters in real time. The sensors transmit data to the air purifier or cloud server through wireless communication technology. For example, there is a family user who has an air purifier installed at home and wears a smart bracelet. The user manually enters personal information through the mobile phone, including age (35 years old), gender (male), previous medical history (none), and current health status (good). The user enters the historical work and rest time and exercise frequency, such as going to bed at 10 pm every day, getting up at 6 am, 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%) in real time, and the smart bracelet transmits this data to the user's mobile phone via 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 access and analysis by the air purifier. The temperature and humidity sensor installed indoors monitors the indoor temperature (22°C) and humidity (50%), the PM2.5 sensor monitors the concentration of fine particles (30 μg / m), and the CO2 sensor monitors the concentration of carbon dioxide (500 ppm). The sensor transmits the monitored data to the air purifier or cloud server through the network. The built-in communication module of the air purifier receives the data and stores it in the local storage module.

[0030] 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 types and pollutant concentrations.

[0031] Among them, users are divided into different categories according to user information, such as healthy users, sub-healthy users, slightly uncomfortable users and severely uncomfortable users. The health categories of users are further refined, such as healthy, slightly uncomfortable, severely uncomfortable, etc. The main pollutant types of the current indoor environment are determined according to the indoor environment information, such as fine particulate matter, carbon dioxide, etc., and then the specific concentration levels of the main pollutants in the current indoor environment are determined.

[0032] In step S230, the purification mode of the target air purifier is predicted based on the user category, the health category, the main pollutant type and the pollutant concentration to obtain a target purification mode.

[0033] In step S240, the working state of the target air purifier is adjusted according to the target purification mode.

[0034] Among them, the purification modes predicted according to user category, health category, main pollutant type and pollutant concentration are standard mode, medium mode, high-efficiency mode, etc. According to the target purification mode, adjust the air purifier's wind speed, filter replacement frequency, ultraviolet sterilization intensity, humidity adjustment and other functional parameters to achieve the best purification effect; control the working status of the air purifier through an embedded system or cloud platform; provide a user interface (such as mobile phone applications, touch screens) to display the current working status and historical records, so that users can view and adjust them conveniently.

[0035] By using the above-mentioned embodiments provided by the present application, by analyzing the age, gender, medical history and other information in the user information, users can be divided into multiple user categories such as healthy users, sub-healthy users, mildly uncomfortable users and severely uncomfortable users. Different user categories have different needs and sensitivities to air quality. By analyzing the health status and real-time physical sign data in the user information, the user's health category can be further refined. Accurately identifying the user category and health category can 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 types and concentrations can be accurately located, helping the air purifier to take more targeted purification measures and improve the purification efficiency. A comprehensive analysis of user categories, health categories, main pollutant types and concentrations is performed to predict the purification mode that best suits 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 invalid or excessive purification in a fixed mode, and improving the efficiency of air purification. According to the predicted target purification mode, the air purifier's working state is automatically adjusted, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can respond quickly 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.

[0036] In one embodiment of the present application, the user information includes: age, gender, height, weight, medical history, current health status, real-time physical sign data, historical work and rest time, and exercise frequency; The indoor environment information includes: indoor temperature, indoor humidity, fine particle concentration, and carbon dioxide concentration.

[0037] For example, see Figure 3 , Figure 3 FIG. 1 is a schematic diagram of the content of user information shown in an exemplary embodiment of the present application. Figure 3 It can be seen that: age is the user's age in years, which can help the system understand the user's physiological state and health needs; gender is the user's gender, male or female, and gender differences may affect the normal range of certain health indicators; height is the user's height in centimeters, which can be used to calculate the body mass index (BMI); weight is the user's weight in kilograms, and weight and height are used together to calculate BMI and evaluate the user's health status; past medical history is the user's past medical history, such as asthma, heart disease, etc., which can help the system understand the user's special health needs; current health status is the user's current health status, such as good, mild discomfort, severe discomfort, etc., and the current health status directly affects the user's air purification needs; real-time vital sign data is the user's real-time vital sign data, such as heart rate, blood pressure, blood oxygen saturation, etc., which can reflect the user's immediate health status; historical work and rest time is the user's sleep time and work and rest rules, such as going to bed at 10 o'clock every night and getting up at 6 o'clock in the morning, and the work and rest time can help the system predict the user's activity pattern; exercise frequency is the user's exercise frequency, such as exercising 3 times a week, and the exercise frequency can reflect the user's health habits and physical condition.

[0038] For example, see Figure 4 , Figure 4 FIG. 1 is a schematic diagram of the content of indoor environment information shown in an exemplary embodiment of the present application. Figure 4 It can be seen that indoor temperature is the temperature of the indoor environment, measured in degrees Celsius, and the temperature affects the user's comfort and air quality; indoor humidity is the humidity of the indoor environment, measured in percentage, and humidity affects the suspension of particles in the air and the growth of microorganisms; fine particle concentration is the concentration of fine particles (PM2.5) in the indoor environment, measured in micrograms per cubic meter (μg / m³), and the concentration of fine particles directly affects the air quality; carbon dioxide concentration is the concentration of carbon dioxide in the indoor environment, measured in parts per million (ppm), and the carbon dioxide concentration reflects the indoor ventilation conditions and the density of people.

[0039] In this embodiment, by analyzing the user's age, gender, medical history and other information, the air purifier can provide personalized purification modes to meet the needs of different users. According to the user's real-time vital signs data and indoor environment 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 particles and carbon dioxide concentration, the air purifier can adjust the purification mode in a targeted manner to improve the purification efficiency. Avoid unnecessary high power consumption and reduce energy waste. For example, when the indoor environmental quality is good, the air purifier can automatically switch to low power consumption mode to save electricity. By analyzing the user's current health status and real-time vital signs data, the air purifier can promptly detect potential health risks and take corresponding purification measures. In the case of high indoor pollutant concentrations, the air purifier can start the high-efficiency mode in advance to prevent health problems.

[0040] In one embodiment of the present application, analyzing the user information to determine the user category and health category includes: Removing missing values ​​and abnormal values ​​from the user information to obtain first preprocessed user information; performing standardization processing on the continuous data in the first pre-processed user information to obtain second pre-processed user information; Performing one-hot encoding on the categorical variables in the second preprocessed user information to obtain third preprocessed user information; Extracting physiological index characteristics, living habit characteristics and health history characteristics from the third pre-processed user information; The user category is determined based on the physiological indicator characteristics and the life habit characteristics, and the health category is determined based on the physiological indicator characteristics and the health history characteristics.

[0041] The purpose of removing missing values ​​and outliers from the user information is to ensure the integrity and accuracy of the data and avoid model training errors caused by missing values ​​and outliers. When dealing with missing values, interpolation methods (such as mean, median, mode or forward filling) can be used to fill missing values; when dealing with outliers, statistical methods can be used to detect and remove outliers.

[0042] The purpose of standardizing the continuous data in the first preprocessed user information is to make different features have the same scale and improve the stability and convergence speed of model training. The continuous data is processed using the standardization or normalization method. Standardization can convert the data into a standard normal distribution with a mean of 0 and a standard deviation of 1. Normalization can scale the data to between 0 and 1.

[0043] The purpose of performing one-hot encoding on the categorical variables in the second preprocessed user information is to convert the categorical variables into numerical form for model processing. One-hot encoding is used to convert the categorical variables into multiple binary features.

[0044] Among them, physiological index characteristics: including age, height, weight, heart rate, blood pressure, blood oxygen saturation, etc. Lifestyle characteristics: including sleep time, exercise frequency, etc. Health history characteristics: including past medical history, current health status, etc.

[0045] Among them, according to physiological indicators and living habits, users are divided into different categories, such as healthy users, sub-healthy users, mildly unwell users and severely unwell users. According to physiological indicators and health history characteristics, the health status of users is further refined, such as healthy, mildly unwell, severely unwell, etc.

[0046] 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 dimensional differences between features on the model. Unique hot encoding can convert categorical variables into numerical form, facilitate model processing, and improve the expressiveness of features. Feature extraction can extract physiological indicator features, living habit features, and health history features from pre-processed user information to ensure that the model can make full use of this information for classification. According to physiological indicators and living habit features, users are divided into different categories, such as healthy users, sub-healthy users, mildly uncomfortable users, and severely uncomfortable users, to improve the accuracy and reliability of classification. According to physiological indicators and health history features, the health status of users is further refined, such as health, mild discomfort, severe discomfort, etc., to improve the recognition accuracy of health categories.

[0047] In one embodiment of the present application, analyzing the indoor environment information to determine the main pollutant types and pollutant concentrations includes: Removing missing values ​​and abnormal values ​​from the indoor environment information to obtain first pre-processed indoor environment information; performing standardization processing on the numerical features in the first pre-processed indoor environment information to obtain second pre-processed indoor environment information; Extract the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics in the second pre-processed indoor environment information, and perform cluster analysis on the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics to determine the main pollutant types and pollutant concentrations.

[0048] The purpose of standardizing the numerical features in the first pre-processed indoor environment information is to make different features have the same scale. The numerical features may be processed using a standardization or normalization method.

[0049] Among them, particle pollution characteristics: including fine particle concentration (PM2.5) and coarse particle concentration (PM10). Ventilation impact characteristics: including carbon dioxide concentration (CO2), reflecting indoor ventilation conditions. Temperature and humidity characteristics: including indoor temperature and humidity.

[0050] Among them, through cluster analysis, indoor environmental information is divided into different categories to determine the main pollutant types and pollutant concentrations. Clustering algorithms (such as K-means and DBSCAN) can be used to analyze the features to determine the main pollutant types and concentration levels of each cluster.

[0051] In this embodiment, the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics are extracted from the pre-processed indoor environmental information to ensure that the model can make full use of this information for cluster analysis. The characteristics are analyzed by clustering algorithms such as K-means, and the indoor environmental information is divided into different categories to determine the main pollutant types and concentration levels of each cluster. This helps to more accurately identify the main sources of pollution and the degree of pollution in the current indoor environment. The main pollutant types and concentrations determined by cluster analysis can guide the air purifier to take more targeted purification measures and improve purification efficiency. According to changes in the indoor environment, the air purifier can dynamically adjust the working state to ensure that the indoor air quality is always in the best state and improve the user's comfort and health protection.

[0052] In one embodiment of the present application, 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 includes: Determine the user's sensitivity to air quality according to the user category, and determine the user's purification needs according to the health category; Performing a weighted summation on the sensitivity and the purification requirement to obtain an initial purification mode; Determine the purification mode corresponding to the target air purifier according to the main pollutant type, and determine the purification intensity corresponding to the target air purifier according to the pollutant concentration; Based on the purification method and the purification intensity, the initial purification mode is adjusted to obtain a target purification mode of the target air purifier.

[0053] Exemplarily, users are divided into different categories, such as healthy users, sub-healthy users, mildly unwell users, and severely unwell users, according to information such as the user's age, gender, past medical history, and current health status. Healthy users are less sensitive to air quality, while severely unwell users are more sensitive to air quality. 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 health, mild discomfort, and severe discomfort. Healthy users have a lower purification demand, while severely unwell users have a higher purification demand. The purification demand can also be represented by a numerical value, such as a score between 0 and 10. The user's sensitivity and purification demand are weighted and summed to obtain a comprehensive score for determining 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. Determine the main pollutant types based on indoor environmental information, such as fine particulate matter (PM2.5), coarse particulate matter (PM10), carbon dioxide (CO2), etc. According to different types of pollutants, select the corresponding purification method, such as activated carbon adsorption, ultraviolet sterilization, etc. According to the indoor environmental information, the specific concentration level of the main pollutants is determined, and the working intensity of the purifier is determined according to the pollutant concentration, such as low speed, medium speed, and high speed. Combined with the initial purification mode, purification method and purification intensity, adjust the working state of the air purifier to obtain the final target purification mode.

[0054] In this embodiment, by analyzing the user category and health category, the user's sensitivity and purification needs are determined, and personalized air purification services are provided. The initial purification mode is obtained by weighted summation to ensure that the purification mode meets the actual needs of the user. According to the type and concentration of the main pollutants, the most appropriate purification method and intensity are selected to improve the purification efficiency. According to the changes in the indoor environment, the purification mode is dynamically adjusted to ensure that the indoor air quality is always in the best state.

[0055] In one embodiment of the present application, adjusting the working state of the target air purifier according to the target purification mode includes: According to the target purification mode, selecting a filter type of the target air purifier; Based on the filter type, determining a wind speed adjustment period to adjust the wind speed of the target air purifier within the wind speed adjustment period; Based on the target purification mode, the working states of the fresh air unit and the condensation and dehumidification unit are adjusted, and the standby mode of the target air purifier is controlled.

[0056] Exemplarily, the purification mode is predicted based on the user category, health category, main pollutant type and pollutant concentration, such as standard mode, medium mode, high-efficiency mode, etc. Select the appropriate filter type according to the target purification mode, such as HEPA filter, activated carbon filter, photocatalyst filter, etc. According to the selected filter type, determine the wind speed adjustment cycle, such as once an hour or once every two hours. During the wind speed adjustment cycle, dynamically adjust the wind speed of the air purifier according to changes in the indoor environment and user needs. Adjust the working state of the fresh air unit according to the target purification mode, such as turning on, off or adjusting the wind speed. Adjust the working state of the condensation dehumidification unit according to the target purification mode, such as turning on, off or adjusting the dehumidification intensity. According to the changes in the target purification mode and the indoor environment, control the time and conditions for the air purifier to enter the standby mode.

[0057] In this embodiment, the appropriate filter type is selected according to the target purification mode to ensure that the air purifier can effectively remove major pollutants and improve the purification effect. The wind speed adjustment cycle is determined according to the filter type, and the wind speed is dynamically adjusted within the cycle to ensure that the air purifier can maintain efficient purification capabilities under different environmental conditions. The working state of the fresh air unit is adjusted according to the target purification mode, and fresh air is reasonably introduced to improve indoor air quality while avoiding unnecessary energy consumption. The working state of the condensation dehumidification unit is adjusted according to the target purification mode to maintain appropriate indoor humidity, improve user comfort, and save energy.

[0058] In one embodiment of the present application, after adjusting the working state of the target air purifier according to the target purification mode, the method further includes: Acquire segment information, where the segment information is the user information, the indoor environment information, and the target purification mode collected within a preset time period; Determining a plurality of encryption categories according to the segment information; Processing the segment information corresponding to each encryption category according to a preset hash function processing strategy corresponding to each encryption category to obtain an initial hash code; Determining a separation weight according to the segment information corresponding to each encryption category; inserting a separation symbol into the initial hash code according to the separation weight 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 segment information based on the target hash code.

[0059] Exemplarily, the segment information is user information, indoor environment information and target purification mode collected within a preset time period. According to the characteristics of the segment information, the segment information is divided into multiple encryption categories, such as user category, health category, main pollutant type, etc. Select a suitable hash function for each encryption category, such as SHA-256, MD5, etc. Use the selected hash function to process the segment information corresponding to each encryption category to generate an initial hash code. According to the importance and sensitivity of the segment information, a separation weight is assigned to each encryption category. For example, user information and health categories 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. The separation symbol is inserted into the initial hash code according to the separation weight to generate the final target hash code. The generated target hash code is transmitted to the manufacturer server through a secure channel. The manufacturer server stores or analyzes the segment information based on the target hash code to ensure data security and privacy protection.

[0060] In this embodiment, the initial hash code is generated by hashing the segment information to ensure that the data is not tampered with during transmission. A separator symbol is inserted into the initial hash code to generate a target hash code to further increase the security of the data. The segment information is divided into multiple encryption categories and hashed separately to ensure that the data in each category is encrypted and protected. According to the importance and sensitivity of the segment 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 is unique and has a fixed length, which is suitable for efficient transmission in the network.

[0061] It can be seen from the above embodiments that by analyzing the age, gender, medical history and other information in the user information, users can be divided into multiple user categories such as healthy users, sub-healthy users, mildly uncomfortable users and severely uncomfortable users. Different user categories have different needs and sensitivities to air quality. By analyzing the health status and real-time physical sign data in the user information, the user's health category can be further refined, and the user category and health category can be accurately identified, which can 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 particles and carbon dioxide in the indoor environment information, the main pollutant types and concentrations can be accurately located, helping the air purifier to take more targeted purification measures and improve the purification efficiency. Comprehensive analysis of user categories, health categories, main pollutant types and concentrations is carried out to predict the purification mode that best suits 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, avoids invalid or excessive purification in a fixed mode, and improves the efficiency of air purification. According to the predicted target purification mode, the air purifier's working state is automatically adjusted, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can respond quickly 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.

[0062] In one 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 shown in an exemplary embodiment of the present application, see Figure 5 , the device comprises: The information acquisition module 501 is used to acquire user information and indoor environment information corresponding to the environment where the target air purifier is located; The information analysis module 502 is used to analyze the user information to determine the user category and health category, and analyze the indoor environment information to determine the main pollutant types and pollutant concentrations; A mode prediction module 503 is used to predict the 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; The adjustment module 504 is used to adjust the working state of the target air purifier according to the target purification mode.

[0063] The air purification control device based on user information in the embodiment of the present application can divide users into multiple user categories such as healthy users, sub-healthy users, mildly uncomfortable users and severely uncomfortable users by analyzing the age, gender, and medical history in the user information. Different user categories have different needs 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. Accurately identifying the user category and health category can 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 particles and carbon dioxide in the indoor environment information, the main pollutant types and concentrations can be accurately located, helping the air purifier to take more targeted purification measures and improve the purification efficiency. A comprehensive analysis of user categories, health categories, main pollutant types and concentrations is performed to predict the purification mode that best suits 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 invalid or excessive purification in a fixed mode, and improving the efficiency of air purification. According to the predicted target purification mode, the air purifier's working state is automatically adjusted, such as wind speed, filter replacement frequency, ultraviolet sterilization intensity, etc. When the indoor environment changes, the air purifier can respond quickly 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.

[0064] 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 repeated here in this example.

[0065] In one 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.

[0066] See also Figure 6 , Figure 6600 is a schematic diagram of the structure of an electronic device shown in an exemplary embodiment of the present application. The computer system 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 602 or the program loaded from the storage part 608 to the random access memory (RAM) 603, such as executing the method described in the above embodiment. In RAM 603, various programs and data required for system operation are also stored. CPU 601, ROM 602 and RAM 603 are connected to each other through bus 604. Input / output (I / O) interface 605 is also connected to bus 604.

[0067] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including 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 needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed so that a computer program read therefrom is installed into the storage section 608 as needed.

[0068] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part 609, and / or installed from a removable medium 611. When the computer program is executed by a central processing unit (CPU) 601, various functions defined in the system of the present application are executed.

[0069] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, 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 (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier, which carries a computer-readable computer program. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0070] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0071] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0072] Another aspect of the present application further provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein the computer program executes the above-mentioned air purification control method based on user information when it is run. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0073] Another aspect of the present application further provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the air purification control method based on user information provided in each of the above embodiments.

[0074] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. An air purification control method based on user information, characterized in that: The method comprises: Obtain user information and indoor environment information corresponding to the environment where the target air purifier is located; 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; The purification mode of the target air purifier is predicted based on the user category, the health category, the main pollutant type and the pollutant concentration to obtain a target purification mode; According to the target purification mode, the working state of the target air purifier is adjusted.

2. The air purification control method based on user information according to claim 1, characterized in that: The user information includes: age, gender, height, weight, medical history, current health status, real-time physical data, historical work and rest time, and exercise frequency; The indoor environment information includes: indoor temperature, indoor humidity, fine particle concentration, and carbon dioxide concentration.

3. The air purification control method based on user information according to claim 1, characterized in that: The analyzing the user information to determine the user category and health category includes: Removing missing values ​​and abnormal values ​​from the user information to obtain first preprocessed user information; performing standardization processing on the continuous data in the first pre-processed user information to obtain second pre-processed user information; Performing one-hot encoding on the categorical variables in the second preprocessed user information to obtain third preprocessed user information; Extracting physiological index characteristics, living habit characteristics and health history characteristics from the third pre-processed user information; The user category is determined based on the physiological indicator characteristics and the life habit characteristics, and the health category is determined based on the physiological indicator characteristics and the health history characteristics.

4. The air purification control method based on user information according to claim 1, characterized in that: The analyzing the indoor environment information to determine the main pollutant types and pollutant concentrations includes: Removing missing values ​​and abnormal values ​​from the indoor environment information to obtain first pre-processed indoor environment information; performing standardization processing on the numerical features in the first pre-processed indoor environment information to obtain second pre-processed indoor environment information; Extract the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics in the second pre-processed indoor environment information, and perform cluster analysis on the particle pollution characteristics, ventilation impact characteristics and temperature and humidity characteristics to determine the main pollutant types and pollutant concentrations.

5. The air purification control method based on user information according to claim 1, characterized in that: The predicting 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 includes: Determine the user's sensitivity to air quality according to the user category, and determine the user's purification needs according to the health category; Performing a weighted summation on the sensitivity and the purification requirement to obtain an initial purification mode; Determine the purification mode corresponding to the target air purifier according to the main pollutant type, and determine the purification intensity corresponding to the target air purifier according to the pollutant concentration; Based on the purification method and the purification intensity, the initial purification mode is adjusted to obtain a target purification mode of the target air purifier.

6. The air purification control method based on user information according to claim 1, characterized in that: The step of adjusting the working state of the target air purifier according to the target purification mode includes: According to the target purification mode, selecting a filter type of the target air purifier; Based on the filter type, determining a wind speed adjustment period to adjust the wind speed of the target air purifier within the wind speed adjustment period; Based on the target purification mode, the working states of the fresh air unit and the condensation and dehumidification unit are adjusted, and the standby mode of the target air purifier is controlled.

7. The air purification control method based on user information according to claim 1, characterized in that: After adjusting the working state of the target air purifier according to the target purification mode, the method further includes: Acquire segment information, where the segment information is the user information, the indoor environment information, and the target purification mode collected within a preset time period; Determining a plurality of encryption categories according to the segment information; Processing the segment information corresponding to each encryption category according to a preset hash function processing strategy corresponding to each encryption category to obtain an initial hash code; Determining a separation weight according to the segment information corresponding to each encryption category; inserting a separation symbol into the initial hash code according to the separation weight 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 segment information based on the target hash code.

8. An air purification control device based on user information, characterized in that: The device comprises: An information acquisition module is used to obtain user information and indoor environment information corresponding to the environment where the target air purifier is located; An information analysis module, used to analyze the user information to determine the user category and health category, and to analyze the indoor environment information to determine the main pollutant types and pollutant concentrations; A mode prediction module, used to predict the 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; An adjustment module is used to adjust the working state of the target air purifier according to the target purification mode.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes 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 7 when running.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the air purification control method based on user information according to any one of claims 1 to 7 through the computer program.

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