Sleep environment monitoring device and monitoring system thereof

Abstract

The invention relates to the technical field of intelligent monitoring and control, and discloses a sleep environment monitoring device and a monitoring system.The sleep environment monitoring device comprises a multifunctional integrated sensor used for monitoring environment parameters in real time; the intelligent interaction and display unit is used for displaying environment parameters and sleep quality analysis reports and providing personalized settings; the environment adjusting equipment linkage unit comprises an air conditioning system, a fresh air system, a light module capable of adjusting color temperature and a driving device of an electric curtain; and the communication module is used for data transmission. Through the multifunctional integrated sensor module, accurate monitoring of environmental parameters is realized. The intelligent interaction and display module simplifies the operation process through a touch screen and a voice recognition technology. The personalized sleep environment optimization algorithm module calculates optimal environment parameters according to personalized information and real-time data, and the multi-mode environment interference early warning and processing module monitors and processes interference factors in the environment and cooperates with the environment adjustment equipment linkage module to achieve automatic adjustment of the environment parameters.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring and control technology, and in particular to a sleeping environment monitoring device and a monitoring system thereof. Background Art

[0002] Sleep quality directly affects human health and daily functional performance. Long-term lack of sleep or poor sleep quality can cause a variety of health problems, such as decreased immunity, cardiovascular disease, diabetes, depression, etc., and even affect brain cognition and memory functions. Therefore, monitoring sleep quality and optimizing the sleeping environment are important means to improve people's health and quality of life.

[0003] Nowadays, as people pay more and more attention to health, more and more devices and technologies are being used for sleep monitoring. By real-time detection and analysis of various environmental factors during sleep, such as temperature and humidity, light, noise, air quality, etc., we can more accurately understand how these factors affect the user's sleep quality. Through these data, the system can not only provide users with real-time feedback on sleep quality, but also automatically take adjustment measures when environmental interference is detected, thereby improving sleep quality and environmental comfort.

[0004] However, most of the existing sleep quality monitoring devices still have certain limitations, especially in terms of comprehensive environmental monitoring, real-time intelligent adjustment, and personalized optimization and adjustment, and still fail to fully solve the user's sleep needs and environmental interference. Therefore, a sleep environment monitoring system based on comprehensive monitoring, intelligent adjustment, and personalized optimization has emerged, aiming to solve the shortcomings of existing technologies by integrating multiple advanced technologies and providing users with a better and more comfortable sleep experience. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a sleep environment monitoring device and a monitoring system thereof, which solve the deficiencies of the prior art sleep environment monitoring devices in terms of comprehensiveness of environmental monitoring, personalized optimization, intelligent interaction, and environmental interference processing.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a sleep environment monitoring device, including a multifunctional integrated sensor for real-time monitoring of environmental parameters; Intelligent interaction and display unit, used to display environmental parameters, sleep quality analysis reports and provide personalized settings; Environmental conditioning equipment linkage unit, including air conditioning system, fresh air system, color temperature adjustable lighting module and electric curtain drive device; Communication module, used for data transmission.

[0007] A sleeping environment monitoring system, comprising: Multifunctional integrated sensor module for real-time monitoring of environmental parameters such as temperature, humidity, light, noise, air quality and electromagnetic radiation; Intelligent interaction and display module, used to display environmental parameters, sleep quality analysis reports and provide personalized settings; The environmental adjustment equipment linkage module uses the Internet of Things technology to connect with intelligent environmental equipment to achieve automatic adjustment of environmental parameters; Personalized sleep environment optimization algorithm module, which calculates and adjusts the best suitable environment parameters according to the user's personalized information and environmental parameters; Multimodal environmental interference warning and processing module, used to monitor and process interference factors in the environment; The user behavior and environmental parameter correlation analysis module is used to monitor the user's sleep behavior and correlate and analyze environmental parameters to optimize the environmental adjustment strategy.

[0008] Preferably, the multifunctional integrated sensor module comprises: Composite temperature and humidity sensors, intelligent light sensors, omnidirectional noise sensor arrays, air quality sensor arrays, and electromagnetic radiation monitoring sensors.

[0009] Preferably, the intelligent interaction and display module includes: High-resolution touch screen and voice interaction unit, used to display environmental parameters and receive user voice commands.

[0010] Preferably, the environmental conditioning equipment linkage module includes: The Internet of Things connection unit is used to connect and control smart air conditioners, smart humidifiers, smart air purifiers and other equipment to fine-tune environmental parameters.

[0011] Preferably, the algorithm unit of the personalized sleep environment optimization algorithm module adopts a dynamic optimization algorithm based on user characteristics and environmental parameters.

[0012] Preferably, the multimodal environmental interference warning and processing module monitors pet activities through a smart camera and emits sound waves of a specific frequency to drive away the pets.

[0013] Preferably, the electromagnetic radiation processing unit is used to cut off the power supply of related electrical appliances or issue an alarm to the user when the electromagnetic radiation exceeds the standard.

[0014] Preferably, the user behavior and environmental parameter association analysis module includes a behavior monitoring unit, an environmental parameter monitoring unit, an association analysis unit, and an optimization decision module, which are used to monitor the user's sleep behavior.

[0015] Preferably, the environmental conditioning device linkage module can automatically adjust the opening and closing degree of the smart curtains to simulate changes in natural light.

[0016] The present invention provides a sleep environment monitoring device and a monitoring system thereof, which have the following beneficial effects: 1. The present invention achieves accurate and comprehensive sleep environment data collection technology effects through the multifunctional integrated sensor module combined with real-time monitoring of multiple environmental parameters such as temperature and humidity, light, noise, and air quality. Compared with the technical solutions in the prior art that rely only on a single sensor for environmental monitoring, the present invention can simultaneously monitor multiple environmental parameters, comprehensively analyze and optimize environmental settings, thereby solving the problem that a single sensor cannot comprehensively evaluate the impact of the environment on sleep quality. This technical solution effectively improves the comfort of the sleeping environment and the sleep quality of users.

[0017] 2. The present invention adopts intelligent interaction and display module, and realizes convenient interaction between users and the system through high-resolution touch screen and voice recognition technology. Compared with the complicated operation of the sleep environment control system in the prior art, the present invention simplifies the user operation process through touch screen and voice control, allowing users to adjust the sleep environment parameters more easily in real time, providing a more intuitive and intelligent control method, and solving the shortcomings of traditional sleep equipment that is inconvenient to operate and has a poor user experience.

[0018] 3. The present invention adopts a personalized sleep environment optimization algorithm module, which dynamically analyzes the user's personalized information, historical sleep data and real-time environmental parameters to accurately calculate the optimal sleep environment parameters. Compared with the existing technology that fails to make environmental optimization adjustments based on individual differences of users, the present invention realizes personalized environmental adjustment and solves the problem that the existing technology cannot provide a customized sleep environment according to user needs, thereby significantly improving sleep quality and user comfort.

[0019] 4. The present invention adopts a personalized sleep environment optimization algorithm module, which dynamically analyzes the user's personalized information, historical sleep data and real-time environmental parameters to accurately calculate the optimal sleep environment parameters. Compared with the existing technology that fails to make environmental optimization adjustments based on individual differences of users, the present invention realizes personalized environmental adjustment and solves the problem that the existing technology cannot provide a customized sleep environment according to user needs, thereby significantly improving sleep quality and user comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is the overall system framework diagram of the present invention; Figure 2 This is a structural diagram of the multifunctional integrated sensor module of the present invention; Figure 3 This is a flow chart of the personalized sleep environment optimization algorithm module of the present invention; Figure 4 It is a flow chart of the multi-modal environmental interference warning and processing module of the present invention; Figure 5 It is a schematic diagram of the intelligent interaction and display module of the present invention; Figure 6 This is a partial system structure diagram of the sleep environment monitoring device of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Please refer to the attached Figure 1 The present invention provides a sleep environment monitoring device and a monitoring system thereof, which aims to improve the user's sleep quality through precise monitoring and intelligent adjustment. The device uses a variety of sensors and intelligent algorithms to monitor various parameters in the sleep environment in real time, and intelligently optimizes the parameters based on the user's personalized information to comprehensively improve the sleep experience. The composition, working principle, implementation method and technical details of the device are described in detail below.

[0023] Please refer to the attached Figure 6 Among them, the sleep environment monitoring device includes a multifunctional integrated sensor for real-time monitoring of environmental parameters; an intelligent interaction and display unit for displaying environmental parameters, sleep quality analysis reports and providing personalized settings; an environmental conditioning equipment linkage unit, including an air-conditioning system, a fresh air system, a lighting module with adjustable color temperature and a driving device for electric curtains; and a communication module for data transmission.

[0024] The sleep environment monitoring system includes a multifunctional integrated sensor module. Figure 2 This module is one of the core components of the present invention, responsible for collecting important parameters in the sleep environment and transmitting data to the subsequent processing module for analysis and adjustment. This module includes the following sensors: Composite temperature and humidity sensor: This sensor uses new materials and sensing technology to accurately measure the temperature range of -20℃ to 50℃ and the humidity range of 20% to 90%. The sensor transmits data to the intelligent control system in real time through the temperature and humidity probe, providing data support for subsequent environmental adjustment. For example, when the indoor temperature is too high, the system can adjust the temperature through the intelligent air conditioner to ensure the comfort of the sleeping environment.

[0025] Smart light sensor: In addition to being able to measure ambient light intensity in real time, this sensor can also analyze and distinguish different spectral components (such as blue light, red light, infrared, etc.). When excessive blue light is detected, the system will automatically adjust the color temperature of the light source to reduce the proportion of blue light, helping users adjust the ambient light conditions when falling asleep and avoid excessive blue light affecting sleep quality.

[0026] Omnidirectional noise sensor array: Composed of microphones in multiple locations, the array can determine the source direction and frequency distribution of noise. When the sensor detects that the noise exceeds the set threshold, the system will automatically initiate sound insulation measures, such as adjusting curtains, activating noise shielding equipment, or adjusting the air conditioning speed, to reduce the impact of noise on the user's sleep.

[0027] Micro air quality sensor array: This array can detect a variety of air pollutants, including PM2.5, PM10, formaldehyde, carbon monoxide, carbon dioxide, volatile organic compounds (VOCs) and microorganisms. By monitoring air quality in real time, the sensor can issue a warning when it finds that air pollutants exceed the standard, and activate air purification equipment, such as smart air purifiers, to purify the air.

[0028] Electromagnetic radiation monitoring sensor: This sensor is used to monitor the intensity of electromagnetic radiation in the environment in real time, especially the radiation from electronic devices such as mobile phones, routers, computers, etc. The sensor can detect low-frequency and high-frequency electromagnetic waves, and take corresponding measures when it finds that the electromagnetic radiation exceeds the standard, such as automatically cutting off the power supply or sending an alarm message.

[0029] In the sleep environment monitoring system of the present invention, the multifunctional integrated sensor module is one of the core components of the entire system. The main function of this module is to monitor multiple key parameters in the sleep environment in real time, including temperature and humidity, light intensity, noise level, air quality, and electromagnetic radiation. The collection of these environmental parameters will provide basic data support for subsequent environmental optimization and intelligent adjustment. Through accurate environmental data collection and real-time feedback, the system can dynamically adjust according to the user's personalized needs, improve the sleep environment, and thus improve sleep quality.

[0030] In this embodiment, the multifunctional integrated sensor module includes a composite temperature and humidity sensor, an intelligent light sensor, an omnidirectional noise sensor array, a micro air quality sensor array, and an electromagnetic radiation monitoring sensor. Each sensor unit works independently, but works together to provide accurate environmental data. The working principle of each sensor and its data collection method will be described in detail below.

[0031] This module measures the temperature and humidity parameters of the environment through a composite temperature and humidity sensor. The operating range of the sensor is a temperature range of -20℃ to 50℃ and a humidity range of 20% to 90%, and can accurately detect changes in temperature and humidity in the sleeping environment. In one possible implementation, the temperature and humidity sensor will transmit data to the central control unit of the system in real time based on these measured values. After the central control unit processes the data, it will provide real-time feedback to other modules, such as the environmental conditioning equipment linkage module. If the system detects that the temperature and humidity exceed the comfort range set by the user, the system can adjust the air conditioner and humidifier through the IoT connection unit to restore to a suitable temperature and humidity environment.

[0032] Smart light sensors are used to measure the light intensity in the environment and distinguish different spectral components. Specifically, smart light sensors can not only detect light intensity, but also distinguish spectral components such as blue light, red light, and infrared light. In some embodiments, when the system detects that there are more blue light components, it may trigger a mechanism to adjust the light source to reduce the proportion of blue light to help users adjust the light environment and promote better sleep. The data output by the sensor will be connected to the central control unit, which will adjust the light source or curtains and other equipment based on the data.

[0033] Furthermore, the omnidirectional noise sensor array included in this module is composed of multiple microphones. The function of the array is to monitor the direction and frequency distribution of the noise source. Specifically, the noise sensor array can capture noise data in the environment in multiple directions. By analyzing the source of the noise, the system can take targeted measures to reduce the interference of noise on sleep. The output data of the noise sensor can be processed by linkage with other modules (such as the environmental adjustment module). For example, when the noise level is too high, the system can adjust it through equipment such as curtains, air purifiers or air conditioners to reduce the impact of noise.

[0034] In terms of air quality monitoring, the micro air quality sensor array in this embodiment can simultaneously monitor multiple air pollutants, such as PM2.5, PM10, formaldehyde, carbon monoxide, carbon dioxide, volatile organic compounds (VOCs) and microorganisms. The design of the sensor can ensure high-precision air quality data collection, and through the connection with the central control unit, the air quality information is fed back in real time. When the system detects that the air quality exceeds the standard, the air purification equipment or humidifier is automatically activated to purify and adjust the air to ensure fresh indoor air and a suitable sleeping environment.

[0035] Finally, the electromagnetic radiation monitoring sensor is used to detect the intensity of electromagnetic radiation in the environment. The sensor can monitor electromagnetic radiation from devices such as routers, mobile phone chargers, computers, etc. When the electromagnetic radiation is detected to exceed the set safety threshold, the system will take corresponding protective measures. For example, it can cut off the power supply of high electromagnetic radiation equipment or sound an alarm to remind users to take protective measures. This function will effectively reduce the impact of electromagnetic radiation on users' sleep and improve sleep quality.

[0036] In the entire multifunctional integrated sensor module, the data of all sensors will be summarized and analyzed by the central control unit and transmitted to the subsequent processing module in real time. To ensure the accuracy and efficiency of the system, all data collection and transmission are strictly calibrated and verified. The implementation of this module can not only provide accurate data support based on real-time monitoring of various parameters in the sleep environment, but also provide data basis for the intelligent control of subsequent environmental adjustment.

[0037] Specifically, the workflow of the entire sensor module is as follows: Each sensor first independently measures the corresponding parameters in the environment and converts them into digital signals. After filtering and noise suppression, the data is transmitted to the central processing unit. The central processing unit processes and comprehensively analyzes all data in real time, and analyzes the changing trends of environmental parameters through optimization algorithms. Finally, based on the analysis results, the system issues instructions to the corresponding environmental adjustment modules, such as smart air conditioners, smart lights and other equipment, to make adjustments to ensure that users are in the best sleeping environment.

[0038] In general, the multifunctional integrated sensor module provides the necessary environmental data support for the sleep environment monitoring system of the present invention through accurate data collection and intelligent analysis. Through the processing and feedback of these real-time data, the system can automatically adjust various parameters in the sleep environment based on real-time monitoring of the environment, providing users with a personalized sleep experience.

[0039] Intelligent interaction and display module, please refer to the attached Figure 5 This module includes a high-resolution touch screen and voice interaction unit to provide users with interactive methods for the device. The touch screen can display environmental parameters, sleep quality analysis reports and personalized improvement suggestions in real time. Users can operate through the touch screen to adjust different environmental parameters, or adjust through the preset sleep modes with one click, such as "deep sleep mode", "lunch break mode", "night mode", etc.

[0040] The voice interaction unit integrates voice recognition technology. Users can use voice commands to ask the device about environmental parameters, control the device, or get sleep improvement suggestions, enhancing the convenience of the user experience.

[0041] In the sleep environment monitoring system of the present invention, the role of the intelligent interaction and display module is to provide an interactive interface between the user and the system, so that the user can easily view, adjust and control the system settings. While realizing real-time feedback and intelligent adjustment, this module can also enhance the user experience, simplify the operation process, and provide personalized suggestions. Through this module, the user can intuitively monitor the various parameters of the sleep environment and adjust them according to needs. The specific implementation method and working principle of the intelligent interaction and display module will be described in detail below.

[0042] In this embodiment, the intelligent interaction and display module consists of a high-resolution touch screen and a voice interaction unit. The module is designed to provide users with an intuitive and convenient operating experience, supporting manual operation through the touch screen, and also supporting user voice command operation through the voice recognition function. Through these two interaction methods, users can easily adjust sleep environment parameters such as temperature, humidity, light intensity, noise control, etc., and can also obtain sleep quality reports and personalized sleep improvement suggestions provided by the system.

[0043] The high-resolution touch screen of the intelligent interaction and display module is mainly used to display various key parameters in the sleep environment, including temperature and humidity, light intensity, noise level, air quality, etc. The touch screen interface will present these data in a graphical way. Users can view real-time data through the touch screen and adjust settings according to their needs. The touch screen will also display the user's sleep quality analysis report and provide targeted improvement suggestions. In this way, users can clearly understand the relationship between current environmental conditions and sleep quality, and make adjustments when necessary.

[0044] As an option, the touch screen also has the function of setting different sleep modes. For example, users can switch to "deep sleep mode", "lunch break mode", "night mode" and so on as needed. These preset modes will automatically adjust environmental parameters to suit different sleep needs. Users can also directly enter the system settings page through the touch screen to make personalized configurations, such as setting the ideal temperature and humidity range, light intensity or noise level.

[0045] The intelligent interaction and display module also integrates voice recognition function, and users can interact with the system through voice commands. The voice recognition unit supports multiple languages ​​and accents, and can accurately recognize the user's voice commands and perform corresponding operations. For example, the user can say "turn up the temperature" or "turn off the lights", and the system will automatically recognize and execute the command. Through this voice interaction method, users can control the system without a touch screen, providing a more convenient operation method. The voice interaction function is particularly suitable for users when they are resting in bed, avoiding the trouble of having to stand up to operate.

[0046] In order to improve the intelligence of the system, the intelligent interaction and display module can also be linked with other modules (such as the environmental adjustment equipment linkage module). When the environmental parameters change, the module will display the changed data in real time and prompt the user with relevant suggestions. For example, when the system detects that the temperature is too high, the touch screen will display "The current temperature is high, it is recommended to lower the temperature" and allow the user to adjust the temperature through touch or voice control.

[0047] The workflow of the intelligent interaction and display module in this embodiment is as follows: the sensor module first monitors environmental parameters and transmits the data to the central processing unit. The central processing unit analyzes and processes the environmental data and generates feedback information according to the set rules. This information is presented to the user through the display module, and the user can view real-time data and operate on the touch screen. In some cases, the user can also interact with the system through voice commands to control the working status of the device.

[0048] In another possible implementation, the intelligent interaction and display module can also provide sleep quality reports. These reports are generated based on the user's sleep behavior, environmental parameters and health data, and include indicators such as the user's sleep quality, deep sleep duration, and sleep interruptions. The report will be generated based on the following formula: in, Indicates the user's sleep quality. is the user's age, is the user's gender, The user's health status indicator. For the user's living habits, For historical sleep data, is the real-time environment parameter. Specifically, the parameters in the formula are defined as follows: (Age): Depending on age, the requirements and influencing factors of sleep quality are different. For example, the sleep quality of the elderly may be more easily affected by ambient temperature and light intensity.

[0049] (Gender): Gender differences may also affect the assessment of sleep quality, as men and women may differ in their sleep needs and sleep patterns.

[0050] (Health status indicators): including the user's health status such as high blood pressure, sleep apnea, etc., which have an important impact on sleep quality.

[0051] (Lifestyle habits): Such as eating habits, exercise volume, etc., long-term lifestyle habits will affect the user's sleep quality.

[0052] (Historical sleep data): By analyzing the user's historical sleep data, the system can better understand the user's sleep patterns and provide data support for sleep quality reports.

[0053] (Real-time environmental parameters): including real-time environmental data such as temperature, humidity, light, noise, etc. The system will analyze the impact of these factors on sleep and generate a corresponding sleep quality report.

[0054] Through this formula, the system can generate a customized sleep quality report based on comprehensive factors and give personalized sleep improvement suggestions based on the report. Users can view these reports on the touch screen and adjust environmental parameters according to the suggestions to optimize sleep quality.

[0055] In general, the intelligent interaction and display module provides users with a convenient operation interface through touch screen and voice recognition technology. Users can adjust the sleeping environment based on real-time feedback and obtain personalized sleep quality reports and improvement suggestions. At the same time, the linkage between this module and other modules can provide users with an intelligent and personalized sleeping experience and further improve sleep quality.

[0056] Environmental conditioning equipment linkage module, based on the Internet of Things (IoT) technology, this module can automatically connect and control various smart home devices, such as smart air conditioners, smart humidifiers, smart air purifiers, smart curtains, smart lights, etc. Each device has a refined control unit that can adjust the operating status of the device. For example, the system can control the smart air conditioner to adjust the wind direction and temperature, the opening and closing degree of the smart curtains, and the brightness and color temperature of the lights to simulate the changes in natural light. Through these fine adjustments, users can get a personalized and comfortable sleeping environment.

[0057] In the sleep environment monitoring system of the present invention, the main function of the environment adjustment device linkage module is to automatically control and adjust environment-related smart devices, such as air conditioners, humidifiers, air purifiers, curtains, lights, etc., based on the real-time monitored environmental data and the results of the personalized optimization algorithm to provide an optimal sleeping environment. The module communicates and coordinates with these smart devices through the Internet of Things technology to ensure that the environmental parameters always meet the personalized needs of the user, thereby improving the quality of sleep. The specific implementation method and working principle of the environment adjustment device linkage module will be described in detail below.

[0058] In this embodiment, the environmental adjustment device linkage module includes an Internet of Things connection unit and a device refinement control unit. The function of the Internet of Things connection unit is to wirelessly communicate with various smart devices to ensure that the module can obtain and transmit data in a timely manner. The device refinement control unit is responsible for accurately adjusting the various functions of the connected devices according to the environmental parameters generated by the optimization algorithm to ensure that the effect of environmental adjustment reaches the expected level.

[0059] Specifically, during the operation of the environmental conditioning equipment linkage module, first, the multifunctional integrated sensor module continuously monitors environmental parameters such as temperature and humidity, light intensity, noise level and air quality, and the data is transmitted to the central control unit in real time. Subsequently, the intelligent interaction and display module presents this data to the user, allowing the user to understand the current environmental conditions through the touch screen or voice commands, and to intervene manually when necessary.

[0060] The device's refined control unit will automatically control equipment related to environmental regulation based on real-time environmental data and the user's personalized needs. For example, if the ambient temperature is too high, the system will automatically adjust the temperature to a comfortable range through the smart air conditioner. If the air humidity is too low, the system will enable the smart humidifier for humidification. Similarly, if the indoor air pollution is detected to be serious, the system will automatically start the smart air purifier for purification.

[0061] As an option, the IoT connection unit can also control devices such as smart curtains and smart lights, simulating natural day and night changes by adjusting the opening and closing of curtains and the brightness and color temperature of lights. Specifically, smart curtains will automatically adjust the degree of shading based on the data from the light intensity sensor to prevent external light from interfering with the user's sleep. Smart lights will automatically adjust the light intensity and color temperature based on real-time lighting conditions and preset sleep modes to help users fall asleep smoothly.

[0062] Specifically, the device refinement control unit in this embodiment can also accurately control the working state of each device. For example, when adjusting the air conditioner, the system can control the wind speed, wind direction, and cooling or heating mode of the air conditioner through this unit. When adjusting the humidifier, the system will accurately adjust the humidity output of the humidifier according to the changes in ambient humidity to achieve the set humidity range. For smart air purifiers, the system will monitor air quality data and control the startup and shutdown of the purifier and the switching of working modes according to the concentration of pollutants.

[0063] In addition, the environmental conditioning device linkage module also works closely with the personalized sleep environment optimization algorithm module to adjust sleep-related devices based on the optimal environmental parameters calculated by the optimization algorithm. The algorithm takes into account multiple factors, including the user's age, gender, health status, living habits, historical sleep data, and real-time environmental parameters. Through this comprehensive analysis, the optimization algorithm can provide each user with a tailored sleep environment to ensure that environmental parameters are always within the most suitable range.

[0064] In some embodiments, the optimization algorithm uses the following formula to calculate the optimal sleep environment parameters: in, represents the best suitable environmental parameters, is the user's age, is the user's gender, As an indicator of health status, As an indicator of lifestyle habits, For historical sleep data, is the real-time environmental parameter. This formula takes into account the user's personal characteristics and the current environmental status to generate the most suitable sleep environment parameters for the user. Specifically: (Age): Depending on the user’s age, the optimization algorithm adjusts the weight of environmental parameters. For example, older people may be more sensitive to changes in temperature and humidity, so the weight of this part may be higher.

[0065] (Gender): Gender differences may lead to different sleep needs. Men and women have different adaptability to temperature, humidity, etc. The algorithm will adjust the environmental conditioning strategy based on gender.

[0066] (Health status indicator): The user's health status (such as high blood pressure, heart disease, etc.) will affect their needs for the sleeping environment. For example, people with high blood pressure may need a cooler environment, so the temperature and humidity settings may be lower.

[0067] (Lifestyle): The user's lifestyle will also affect the sleeping environment. For example, people who exercise more may have different requirements for ambient temperature and humidity.

[0068] (Historical sleep data): Based on the user's historical sleep data, the system will analyze the user's preferences for different environmental parameters, thereby providing historical reference for the optimization algorithm.

[0069] (Real-time environmental parameters): Real-time collected environmental data, such as temperature, humidity, light intensity, etc., will also affect the system's adjustment strategy. The system will automatically adjust the device based on this data to ensure that the environment meets the best sleeping conditions.

[0070] Through the calculation of the above formula, the system can dynamically adjust various devices according to different user needs and environmental changes, so as to achieve the best sleeping environment effect. The environmental adjustment device linkage module transmits these adjustment instructions to various smart devices through the Internet of Things technology to ensure that the working status of the equipment meets the personalized needs of users.

[0071] In general, the environmental adjustment device linkage module achieves precise adjustment of the sleeping environment through the Internet of Things technology and the device refined control unit. This module can not only automatically adjust environmental parameters based on real-time data and the output of the optimization algorithm, but also provide a customized sleeping environment based on the user's personalized needs and behavior patterns. Through this module, the system can respond to the user's sleep needs in real time and significantly improve sleep quality.

[0072] Personalized sleep environment optimization algorithm module, please refer to the attached Figure 3 This module is the core algorithm module of the system. It uses a dynamic optimization algorithm to calculate the best and most suitable sleeping environment parameters based on the user's personal characteristics (such as age, gender, health status, etc.) and environmental parameters (such as temperature, humidity, light, etc.).

[0073] This module is responsible for dynamically calculating the best sleeping environment parameters for users based on their personalized characteristics and real-time monitoring of environmental parameters, and automatically adjusting the sleeping environment by interacting with the environmental adjustment device linkage module to optimize sleep quality. Through this optimization algorithm, the system can provide accurate personalized sleeping environment adjustment solutions based on different user needs and real-time environmental data, significantly improving sleep quality.

[0074] In this embodiment, the main function of the personalized sleep environment optimization algorithm module is to calculate and adjust the most suitable sleep environment parameters based on the user's personalized characteristics, historical sleep data and real-time environmental parameters through a dynamic optimization algorithm. The algorithm input parameters include the user's age ( ),gender( ), health status indicators ( ), lifestyle indicators ( )、Historical sleep data( ) and real-time environmental parameters ( ). The core goal of the algorithm is to generate optimized environmental adjustment recommendations based on these input parameters to achieve the best sleep effect.

[0075] Specifically, in this embodiment, the optimization algorithm formula is: in, represents the calculated optimal sleeping environment parameters, is the user's age, is the user's gender, The user's health status indicator. As an indicator of lifestyle habits, For historical sleep data, It is the real-time environment parameter.

[0076] The definitions of the various parameters in the formula are as follows: (Age): Considering the impact of age on sleep needs, the system will adjust the weight of environmental parameters according to the user's age. For example, the elderly may be more sensitive to temperature, so temperature will be given a higher weight in the algorithm.

[0077] (Gender): Gender differences also affect the needs of the sleeping environment. For example, men and women may have different temperature comfort requirements during sleep, and the system will fine-tune the environmental parameters based on gender information.

[0078] (Health status indicator): Health status has a direct impact on sleep quality. For example, if the user suffers from sleep apnea, high blood pressure or other diseases, the system will dynamically adjust environmental parameters such as air quality, temperature and humidity according to changes in health status.

[0079] (Lifestyle Indicator): Lifestyle habits directly affect sleep quality. For example, users who are used to staying up late may have a higher demand for light, and the system will adjust the intensity or color temperature of the light based on this to promote better sleep.

[0080] (Historical sleep data): Historical sleep data reflects the user's sleep performance under different environmental conditions. The system determines the optimized environmental parameters by analyzing the relationship between the user's past sleep quality and environmental parameters. This data can be processed through machine learning models (such as regression analysis, cluster analysis, etc.).

[0081] (Real-time environmental parameters): Real-time environmental parameters include current temperature, humidity, light, noise, air quality, etc. The system monitors these environmental parameters in real time and adjusts environmental equipment according to their deviation from the optimal environmental parameters to ensure that users are always in the best sleeping environment.

[0082] Specifically, the personalized sleep environment optimization algorithm module calculates a comprehensive score based on these input parameters. The higher the score, the more suitable the current environment is for the user's sleep needs. Through this algorithm, the system can dynamically adjust environmental parameters such as air conditioning temperature, humidifier humidity, opening and closing degree of smart curtains, light brightness and color temperature, etc. to meet user needs.

[0083] In one possible implementation, the personalized sleep environment optimization algorithm module can also be dynamically adjusted based on the user's real-time behavioral data. For example, the system can further optimize the sleep environment by monitoring the user's frequency of turning over and getting up during sleep, and other behavioral data, combined with real-time environmental parameters. For example, if the system detects that the user frequently turns over and the ambient temperature is high, it may automatically adjust the temperature and wind speed of the air conditioner to help the user get a deeper sleep.

[0084] In addition, in some embodiments, the personalized sleep environment optimization algorithm module can also integrate a user feedback mechanism, allowing users to rate the effect of adjusting environmental parameters and feed these scores back to the system. The system will adjust the parameters of the algorithm based on the user's feedback, making the optimization process more accurate and personalized.

[0085] The personalized sleep environment optimization algorithm module in this embodiment can accurately predict user needs by adjusting the weights of various input parameters and deeply analyzing historical sleep data. Specifically, the algorithm not only considers the user's personalized characteristics, but also responds to environmental changes in real time to ensure that users can get the best sleep experience under different environmental conditions.

[0086] In general, the personalized sleep environment optimization algorithm module calculates the most suitable sleep environment parameters for users by comprehensively analyzing the user's age, gender, health status, living habits, historical sleep data and real-time environmental parameters, and automatically adjusts the sleep environment through the synergy with the environmental adjustment device linkage module. The implementation of this module not only improves sleep quality, but also provides customized sleep optimization solutions based on the user's personalized needs, providing users with a high-quality sleep experience.

[0087] Multi-modal environmental interference warning and processing module, please refer to the attached Figure 4 This module uses smart cameras and image recognition technology to monitor pet activities in the environment in real time. When the system detects that a pet has entered the bedroom and may disturb the user's sleep, the camera will capture the pet's movement trajectory and send out sound waves of a specific frequency through the audio equipment to drive the pet away, and the sound waves will not affect the user's sleep.

[0088] In addition, the module is also responsible for electromagnetic radiation processing. The electromagnetic radiation monitoring sensor can detect the electromagnetic radiation intensity in the environment in real time. If it exceeds the set threshold (for example, exceeding the international electromagnetic radiation safety limit), the electromagnetic radiation processing unit will automatically cut off the power supply of the high electromagnetic radiation source device, such as temporarily shutting down the router or sending an alarm to the user to remind him to adjust the device position or shut down the device.

[0089] In the sleep environment monitoring system of the present invention, the multimodal environmental interference warning and processing module is responsible for identifying, monitoring and responding to potential interference factors in the environment. These interference factors may come from pet activities, electromagnetic radiation, noise, etc., which will affect the user's sleep quality. Through the effective monitoring and processing of this module, the system can respond to these environmental interferences in a timely manner and take appropriate processing measures to ensure that the user's sleep environment remains quiet and comfortable. The following is a detailed description of this module.

[0090] In this embodiment, the multimodal environmental interference warning and processing module combines multiple sensors and processing units to achieve comprehensive warning and processing of different types of interference. The module mainly includes a smart camera, a pet interference sound wave processing unit, an electromagnetic radiation processing unit, and a noise processing unit. Each submodule cooperates with each other to provide users with a sleep environment with minimal interference.

[0091] Specifically, the smart camera uses image recognition technology to monitor the activities of pets in the environment. Generally speaking, the activities of pets may cause the bedroom environment to be restless and even disturb the user's sleep. To this end, the camera will capture the movements of pets in the bedroom in real time and identify the activities of pets through image processing algorithms. When the system detects that a pet has entered the bedroom and may affect the user's sleep, the pet interference sound wave processing unit will drive away the pet by generating sound waves of a specific frequency. The frequency of this sound wave has been carefully designed so that it will not interfere with the user's sleep, but is specifically set for the sensitive frequency band of pets, thereby ensuring that the user can sleep peacefully without external interference.

[0092] In some embodiments, the pet disturbance sound wave processing unit can adjust the frequency and intensity of the sound waves to drive away the pet without causing the user to wake up from sleep. This detailed control ensures that the system can fully consider the user's sleep comfort when dealing with disturbances.

[0093] Furthermore, the electromagnetic radiation processing unit in this module takes appropriate processing measures based on the feedback from the electromagnetic radiation monitoring sensor. The electromagnetic radiation monitoring sensor is responsible for real-time monitoring of various electromagnetic radiation sources in the environment, such as wireless network devices (routers), mobile phone chargers, televisions, computers and other devices. In general, excessive electromagnetic radiation may have a potential impact on the user's health and sleep. Therefore, when the sensor detects that the electromagnetic radiation intensity exceeds the set threshold, the electromagnetic radiation processing unit will take measures to reduce the impact of electromagnetic radiation. For example, the electromagnetic radiation processing unit may cut off the power supply of high electromagnetic radiation devices by controlling the smart socket, or remind the user to move the electromagnetic radiation source out of the sleeping area through an alarm according to the actual situation.

[0094] In some embodiments, the workflow of the electromagnetic radiation processing unit may further include the following steps: First, the electromagnetic radiation monitoring sensor detects the electromagnetic radiation intensity and transmits the data to the control unit. The control unit compares the electromagnetic radiation intensity data with the set safety threshold. If it exceeds the threshold, it will adjust the power supply of the device or issue an alarm for processing. This processing flow ensures that the user will not be disturbed by electromagnetic radiation during sleep, thereby improving the quality of sleep.

[0095] In addition, this module also includes a noise processing unit, which is responsible for monitoring and managing environmental noise through noise sensors. When the system detects that the noise exceeds the standard, the noise processing unit will take corresponding measures according to the type and intensity of the noise. For example, the source of noise may be external environmental noise or noise generated by the operation of indoor equipment. The system can identify the source of noise and reduce the impact of noise on users by adjusting curtains, air purifiers, air conditioners or other equipment. The noise processing unit can also combine the user's sleep behavior data, such as the frequency of turning over, to further optimize the noise adjustment strategy. For example, the system may automatically adjust the environmental noise level to help the user fall asleep when it detects that the user turns over frequently.

[0096] Specifically, the working principle of the noise processing unit includes: First, the noise sensor detects the ambient noise and transmits the data to the central control unit. After analyzing the noise data, the control unit adjusts the working status of the air purifier, air conditioner wind speed or other equipment to eliminate or reduce the interference of noise. If the system detects that the user's sleeping behavior is significantly related to the noise level, the system will automatically adjust the environmental parameters to reduce interference.

[0097] In summary, the multimodal environmental interference warning and processing module in this embodiment can comprehensively monitor and respond to various interference factors in the sleep environment through the collaborative work of multiple sub-modules. Through the combination of smart cameras, pet interference sound wave processing units, electromagnetic radiation processing units, and noise processing units, the system can take precise and effective intervention measures under different environmental interferences to ensure that the user's sleep quality is not affected by the outside world. During the processing process, data sharing and mutual collaboration between the sub-modules enable the system to intelligently and automatically adjust the sleep environment and provide high-quality and comfortable sleeping conditions.

[0098] The implementation of this module can not only deal with common problems such as pet interference, electromagnetic radiation and noise, but also dynamically adjust the environmental interference processing strategy based on real-time environmental parameters and user sleep behavior data to ensure that each interference processing can meet user needs to the greatest extent, thereby achieving the best sleep environment optimization.

[0099] User behavior and environmental parameter association analysis module, this module is mainly responsible for monitoring the user's sleep behavior, such as turning over frequency, limb movements, number of times getting up, etc., and associating these behaviors with environmental parameters for analysis. Based on the analysis results, the system will adjust the environmental parameters to optimize the user's sleep experience. For example, when the user turns over frequently, the system may adjust the ambient temperature or wind speed to reduce interference with the user's sleep. Specifically, it includes a behavior monitoring unit, an environmental parameter monitoring unit, an association analysis unit, and an optimization decision module, which are used to monitor the user's sleep behavior.

[0100] The behavior monitoring unit includes an acceleration sensor, a pressure sensor, a heart rate sensor, and a breathing monitoring sensor.

[0101] Acceleration sensor: used to detect the user's tossing and turning frequency, limb movements, etc. during sleep.

[0102] Pressure sensor: used to sense whether the user turns over or gets up, and analyze the pressure changes on the mattress.

[0103] Heart rate and breathing monitoring sensors: detect the user's physiological indicators and further infer their sleep stages (such as light sleep, deep sleep, rapid eye movement (REM) etc.).

[0104] The environmental parameter monitoring unit includes temperature and humidity sensors, light sensors, noise sensors, and air quality sensors to monitor environmental changes in real time.

[0105] Temperature and humidity sensor: monitors the temperature and humidity of the environment.

[0106] Light sensor: monitors the light intensity in the room, especially its impact on the user's sleep.

[0107] Noise sensor: monitors the noise level in the environment and assesses the degree to which the noise interferes with the user's sleep.

[0108] Air quality sensor: monitors indoor air quality, including PM2.5, CO2 concentration, VOC, etc., which helps analyze the impact of air quality on sleep.

[0109] The association analysis unit includes: Data processing module: responsible for processing, cleaning and preprocessing behavior monitoring data and environmental parameter data.

[0110] Data analysis module: Use algorithms to deeply analyze behavioral data and environmental data to discover the correlation patterns. For example, use machine learning models (such as regression analysis, cluster analysis, etc.) to train historical data and identify the changing patterns of user behavior under different environmental conditions.

[0111] The optimization decision module includes: Intelligent adjustment interface: Based on the analysis results, it determines the environmental parameters that need to be adjusted and transmits the instructions to the environmental adjustment equipment (such as air conditioners, humidifiers, air purifiers, etc.).

[0112] Feedback mechanism: Automatically optimize environmental settings based on user behavior feedback and changes in environmental parameters. For example, if it is found that the temperature is too high and causes the user to toss and turn frequently, the system can automatically adjust the temperature to lower it.

[0113] First, data is collected simultaneously through the behavior monitoring unit and the environmental parameter monitoring unit. The behavior monitoring unit detects the user's sleep behavior, including turning over, getting up, heart rate changes, etc., while the environmental sensor collects indoor environmental data in real time, such as temperature and humidity, noise, light, air quality, etc.

[0114] These data are transmitted to the central control unit in real time for processing and analysis.

[0115] Secondly, the data analysis module uses algorithms to correlate these behavioral data with environmental data. Specifically, the system finds the correlation between certain behaviors (such as increased frequency of turning over) and specific environmental parameters (such as high temperature or excessive noise).

[0116] For example, if the system detects that the user turns over frequently during a certain period of time and the ambient temperature is high at this time, the system will infer through historical data and association rules that "higher temperatures may lead to an increase in the frequency of turning over."

[0117] Then, based on the analysis results, the optimization decision module generates corresponding optimization measures. For example, if the system finds that the noise level is too high, resulting in a reduction in the user's deep sleep stage, it will reduce noise disturbance through smart curtains or air purifiers.

[0118] The system will also automatically adjust environmental equipment (such as air conditioning temperature, humidifier humidity, etc.) according to the user's personalized needs (such as temperature preferences, humidity requirements, etc.) to create an optimal sleeping environment.

[0119] Finally, the system will feed back the optimization suggestions to the environmental conditioning equipment linkage module, and the equipment will automatically execute adjustment instructions, such as adjusting the air-conditioning temperature, the opening and closing degree of smart curtains, and the turning on of the air purifier.

[0120] At the same time, the system will continue to monitor the user's sleep behavior and environmental changes to ensure the effectiveness of the adjustment measures. If the user's sleep behavior changes return to normal, the system will monitor the feedback in real time and make adjustments again as needed.

[0121] The system will feed back the optimization suggestions to the environmental conditioning equipment linkage module, and the equipment will automatically execute adjustment instructions, such as adjusting the air-conditioning temperature, the opening and closing degree of smart curtains, and the turning on of the air purifier.

[0122] At the same time, the system will continue to monitor the user's sleep behavior and environmental changes to ensure the effectiveness of the adjustment measures. If the user's sleep behavior changes return to normal, the system will monitor the feedback in real time and make adjustments again as needed.

[0123] The user behavior and environmental parameter correlation analysis module collects the user's sleep behavior data and environmental data in real time, and combines it with intelligent algorithms for in-depth analysis to identify the key factors that affect sleep quality. The module automatically adjusts environmental settings to ensure that the sleeping environment is optimal, and optimizes the sleep experience based on the user's personalized needs and real-time feedback.

[0124] In the sleep environment monitoring system of the present invention, the main task of the user behavior and environmental parameter association analysis module is to monitor the user's sleep behavior in real time, analyze the relationship between it and the environmental parameters, and dynamically adjust the sleep environment based on this relationship. The implementation of this module can further optimize the sleep environment parameters and provide users with more personalized sleep support. Through the functions of this module, the system can continuously monitor the user's behavior during sleep and automatically adjust the environmental settings according to the analysis results to improve sleep quality.

[0125] In this embodiment, the user behavior and environmental parameter association analysis module includes a behavior monitoring unit and an association analysis unit. The behavior monitoring unit is mainly used to detect various behavioral actions of the user during sleep in real time, such as turning over frequency, limb movements, number of times getting up, etc. Through these data collected by the sensor, the system can judge the user's sleep state and changes in sleep quality. The association analysis unit identifies the factors that have a greater impact on sleep quality by correlating the user's behavior data with environmental parameters (such as temperature, humidity, noise, etc.), and optimizes and adjusts the environmental parameters based on these factors.

[0126] Specifically, the behavior monitoring unit uses accelerometers, pressure sensors and other devices to monitor the user's sleep behavior in real time. For example, the accelerometer can detect the user's turning over frequency, sleeping posture changes, limb movements and other information, while the pressure sensor can identify whether the user turns over, gets up and other sleep behaviors. After filtering and noise removal, these sensor data are transmitted to the central control unit for further processing.

[0127] As an option, the behavior monitoring unit can also be combined with other sensors, such as heart rate sensors, respiratory monitoring sensors, etc., to further improve the accuracy of sleep status recognition. For example, the system can identify whether the user has entered a deep sleep state or has problems such as sleep apnea by monitoring changes in the user's heart rate and respiratory rate. These data help to more accurately judge the user's sleep quality and provide data support for subsequent environmental optimization.

[0128] The association analysis unit can identify the main factors that affect sleep quality through correlation analysis of behavioral data and environmental parameters. For example, the system may find that under certain temperature or humidity conditions, the user's tossing frequency increases, or that the user is prone to waking up under certain light intensities. Based on these findings, the system dynamically adjusts the environmental parameters to maximize the optimization of sleep conditions. Specifically, the association analysis unit matches the behavioral data with the data of environmental parameters, and predicts the user's sleep quality performance under different environmental conditions by establishing multivariate regression models, time series analysis and other methods.

[0129] In some embodiments, the system uses the following formula to describe the relationship between environmental parameters and user behavior: in, Indicates the user's sleep quality. The user's turning frequency, is the body movement frequency, is the number of times you get up, is the real-time environment parameter, It is the user's historical sleep data.

[0130] Specifically, the parameters in the formula are defined as follows: (Tossing and turning frequency): reflects the number of times the user turns and turns during sleep. A high tossing and turning frequency may mean that the user has not entered the deep sleep stage.

[0131] (Body movement frequency): reflects the number of times the user's body movements occur during sleep. Frequent body movements may be a sign of poor sleep quality.

[0132] (Number of wake-ups): reflects the number of times the user wakes up and gets up during the night. More wake-ups usually mean poorer sleep quality.

[0133] (Real-time environmental parameters): including real-time environmental factors such as temperature and humidity, light intensity, and noise level. Environmental factors are closely related to the user's sleep behavior.

[0134] (Historical sleep data): includes the user's previous sleep quality data under different environmental conditions, which helps provide a reference for optimization under current environmental conditions.

[0135] Through this formula, the system can predict the user's current sleep quality based on the user's behavior patterns and real-time environmental parameters, and optimize the environmental parameters accordingly. For example, when the frequency of tossing and turning is high, the system may determine that the user has not yet entered deep sleep. At this time, the system can help the user enter a deep sleep state by adjusting the temperature and humidity, increasing quietness, etc.

[0136] In one possible implementation, the user behavior and environmental parameter association analysis module can also work together with the personalized sleep environment optimization algorithm module to form a closed-loop feedback system. Specifically, when the system analyzes certain specific sleep problems based on user behavior data, this information can be passed to the personalized sleep environment optimization algorithm module to recalculate the optimal environmental parameters and make corresponding adjustments. This collaborative working method can ensure that the system performs all-round and dynamic optimization during the user's sleep process.

[0137] In short, the user behavior and environmental parameter correlation analysis module monitors the user's sleep behavior in real time, combines it with environmental parameter data, conducts in-depth analysis, finds out the key factors that affect sleep quality, and automatically optimizes environmental settings. Through the work of this module, the system can provide users with a more personalized and dynamically adjusted sleeping environment, significantly improving sleep quality.

[0138] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sleeping environment monitoring device, characterized in that: include, Multifunctional integrated sensors for real-time monitoring of environmental parameters; Intelligent interaction and display unit, used to display environmental parameters, sleep quality analysis reports and provide personalized settings; Environmental conditioning equipment linkage unit, including air conditioning system, fresh air system, color temperature adjustable lighting module and electric curtain drive device; Communication module, used for data transmission.

2. A sleeping environment monitoring system, characterized in that: A sleep environment monitoring device as claimed in claim 1, comprising: Multifunctional integrated sensor module for real-time monitoring of environmental parameters such as temperature, humidity, light, noise, air quality and electromagnetic radiation; Intelligent interaction and display module, used to display environmental parameters, sleep quality analysis reports and provide personalized settings; The environmental adjustment equipment linkage module uses the Internet of Things technology to connect with intelligent environmental equipment to achieve automatic adjustment of environmental parameters; Personalized sleep environment optimization algorithm module, which calculates and adjusts the best suitable environment parameters according to the user's personalized information and environmental parameters; Multimodal environmental interference warning and processing module, used to monitor and process interference factors in the environment; The user behavior and environmental parameter correlation analysis module is used to monitor the user's sleep behavior and correlate and analyze environmental parameters to optimize the environmental adjustment strategy.

3. A sleeping environment monitoring system according to claim 2, characterized in that: The multifunctional integrated sensor module comprises: Composite temperature and humidity sensors, intelligent light sensors, omnidirectional noise sensor arrays, air quality sensor arrays, and electromagnetic radiation monitoring sensors.

4. A sleeping environment monitoring system according to claim 2, characterized in that: The intelligent interaction and display module includes: High-resolution touch screen and voice interaction unit, used to display environmental parameters and receive user voice commands.

5. A sleeping environment monitoring system according to claim 2, characterized in that: The environmental conditioning equipment linkage module comprises: The Internet of Things connection unit is used to connect and control smart air conditioners, smart humidifiers, smart air purifiers and other equipment to fine-tune environmental parameters.

6. A sleeping environment monitoring system according to claim 2, characterized in that: The algorithm unit of the personalized sleep environment optimization algorithm module adopts a dynamic optimization algorithm based on user characteristics and environmental parameters.

7. A sleeping environment monitoring system according to claim 2, characterized in that: The multimodal environmental interference warning and processing module monitors pet activities through a smart camera and emits sound waves of a specific frequency to drive away the pets.

8. A sleeping environment monitoring system according to claim 2, characterized in that: The electromagnetic radiation processing unit is used to cut off the power supply of related electrical appliances or send an alarm to the user when the electromagnetic radiation exceeds the standard.

9. A sleeping environment monitoring system according to claim 2, characterized in that: The user behavior and environmental parameter association analysis module includes a behavior monitoring unit, an environmental parameter monitoring unit, an association analysis unit, and an optimization decision module, and is used to monitor the user's sleep behavior.

10. A sleeping environment monitoring system according to claim 2, characterized in that: The environmental conditioning equipment linkage module can automatically adjust the opening and closing degree of the smart curtains to simulate changes in natural light.

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