KR20220157235A - Method and apparatus for managing sleeping environment using smart bedding set - Google Patents

Abstract

A sleep environment management method and device using smart bedding are disclosed. The sleep environment management method using smart bedding proposed in the present invention comprises the steps of: collecting data related to a user's sleep environment measured through a smart bedding comprising a plurality of sensors by a user terminal in which an application for managing a sleep environment is installed; storing, by the user terminal, the collected sleep environment-related data, and analyzing the stored sleep environment-related data to manage the user's sleep environment by the user terminal or a server communicating with the user terminal; and managing the user's sleep environment through the user terminal according to the result of the analysis. The smart bedding comprises: a first sensor unit comprising, as the plurality of sensors, a temperature sensor and a humidity sensor for measuring the temperature and humidity of a space between the smart bedding and a user using the smart bedding, wherein the temperature sensor and the humidity sensor are embedded in a plurality of parts of the smart bedding; and a second sensor unit comprising a temperature sensor, a humidity sensor, an air sensor and an illuminance sensor for measuring the temperature, humidity, air quality, and illumination of the outside of the smart bedding on the opposite side of the user.

Description

Sleep environment management method and device using smart bedding {METHOD AND APPARATUS FOR MANAGING SLEEPING ENVIRONMENT USING SMART BEDDING SET}

The present invention relates to a method and apparatus for managing a sleep environment using smart bedding. More specifically, it relates to a method and apparatus for measuring data on a sleep environment through a smart bedding including a plurality of sensors and managing a user's sleep environment using the measured data.

Recently, as the number of people suffering from sleep disorders has increased, the related industry has become lively to the extent that the term sleeponomics, a compound word of sleep and economy, has appeared, and the sleep market is developing further as consumers' income levels rise. This is because they value the quality of life and become interested in the sleeping environment. As a result, various attempts to increase the quantity and quality of sleep are underway, and the size of the domestic sleep market in 2019 approached 2 trillion won and is estimated to reach 3 trillion won soon.

Overseas, the sleep industry is already forming a huge market. The size of the industry reaches 45 trillion won in the US, 38 trillion won in China, and 9 trillion won in Japan. In comparison, Korea is still in its infancy, but it is said that the growth rate is steep. As the socioeconomic level rises, the number of sleep-related diseases is also increasing, and it is predicted that the sleep industry will further develop and grow in the future.

Consumers want products that help with real sleep and express the value of sound sleep, not just traditional sleep products. Various sleep management products that provide and manage are being developed and released. In the past, the sleeping pill market for treating insomnia accounted for most of the sleep industry, but recently, the market is expanding to include sleep clinics, food, and IT products. As such, modern people's desire for high-quality sleep has increased interest in well-sleeping products.

Korean Patent Registration No. 10-1234821

The technical problem to be achieved by the present invention is to provide differentiated personalized services by measuring data on the sleep environment through smart bedding including a plurality of sensors, analyzing and learning the measured data, and controlling the user's sleep environment. It is to provide a sleep environment management method and device. In addition, by analyzing the measured data, it is intended to provide customized bedding that uses the minimum amount of filler to meet the needs of individual users.

In one aspect, in the sleep environment management method using smart bedding proposed in the present invention, a user terminal in which an application for sleep environment management is installed collects data related to the user's sleep environment measured through a smart bedding including a plurality of sensors. Step of storing the collected sleep environment-related data at the user terminal, and analyzing the stored sleep environment-related data in order to manage the user's sleep environment at the user terminal or a server communicating with the user terminal, and the analysis and managing the user's sleep environment through the user terminal according to the result of the above.

The smart bedding is the plurality of sensors, a temperature sensor and a humidity sensor for measuring the temperature and humidity of a space between the smart bedding and a user using the smart bedding - the temperature sensor and the humidity sensor are a plurality of the smart bedding A first sensor unit including a first sensor unit, and a temperature sensor, a humidity sensor, an air sensor, and an illuminance sensor for measuring the temperature, humidity, air quality, and illuminance outside the smart bedding on the opposite side of the user. It includes a second sensor unit including a.

In the collecting step, sleep environment related data is collected through the first sensor unit and the second sensor unit.

The step of performing the analysis is based on user-related information including age, occupation, gender, average bedtime, average wake-up time, average sleep time, and preferred sleep environment of the user previously stored in the database and the stored sleep environment-related data. to perform an analysis to provide an optimal sleep environment.

The step of performing the analysis performs a stochastic statistical analysis on sleep factors to provide an optimal sleep environment based on user-related information and sleep environment-related data, and uses machine learning-based artificial intelligence to perform user-related information and It performs learning, classification, detection, and prediction on sleep environment-related data.

Managing the user's sleep environment through the user terminal according to the results of analysis and learning in the server is measured in each part of the smart bedding by the first sensor unit embedded in each of a plurality of parts of the smart bedding. Based on the temperature and humidity of the space between the smart bedding and the user, a notification indicating that the sleeping environment needs to be improved for each part is provided, or the filler of the smart bedding needs to be supplemented or removed for each part. provides notifications indicating

Each part of the plurality of parts of the smart bedding is one of areas divided into upper, middle, and lower parts of the smart bedding, and the notification is a sleep environment among the areas divided into upper, middle, and lower parts of the smart bedding. It is provided in relation to areas that require improvement or supplementation or removal of fillers.

The step of managing the user's sleep environment through the user terminal according to the analysis and learning results in the server is the outside of the smart bedding measured through the temperature sensor, humidity sensor, air sensor, and illuminance sensor included in the second sensor unit. In order to adjust the sleep environment according to the analysis of the sleep environment-related data including temperature, humidity, air quality, and illumination, the indoor sleep environment is controlled in conjunction with the indoor IoT device through an application installed on the user terminal.

In the managing step, the indoor temperature is adjusted through the thermostat according to the analysis result by interlocking with the indoor IoT device including the thermostat, humidity controller, air purifier, and lighting through an application installed in the user terminal, and the humidity controller The sleeping environment is controlled by adjusting the indoor humidity through the air purifier, adjusting the air quality through the air purifier, and adjusting the indoor brightness through the lighting.

The second sensor unit further includes a gyro sensor, and the sleep environment management method receives feedback of the user's sleep pattern including the user's movement during sleep measured through the gyro sensor, and provides information to the user through an application installed in the user terminal. The method may further include collecting and storing user's survey results according to the controlled sleep environment by providing a survey on the sleep environment.

In the performing of the analysis, the analysis of the sleep environment-related data is repeated by reflecting the stored sleep pattern and the user's questionnaire results.

In another aspect, the sleep environment management device using smart bedding proposed in the present invention is a temperature sensor and a humidity sensor for measuring the temperature and humidity of a space between a smart bedding and a user using the smart bedding - the temperature A sensor and a humidity sensor are each embedded in a plurality of parts of the smart bedding - a first sensor unit including a temperature sensor for measuring the temperature, humidity, air quality and illumination of the outside of the smart bedding on the opposite side of the user, A second sensor unit including a humidity sensor, an air sensor, and an illuminance sensor and a user terminal in which an application for managing the user's sleep environment is installed or a server communicating with the user terminal analyzes the measured sleep environment related data. It includes a communication unit for transmitting sleep environment-related data measured by the first sensor unit and the second sensor unit to a user terminal, and is embedded in the smart bedding.

According to the embodiments of the present invention, it is possible to provide a differentiated personalized service by measuring data on the sleep environment through a smart bedding including a plurality of sensors, analyzing and learning the measured data, and controlling the user's sleep environment. can In addition, it can be controlled to provide a sleep environment that meets the needs of individual users according to analysis and learning results in conjunction with indoor IoT devices through a user terminal in which an application for managing a sleep environment is installed.

1 is a schematic diagram for explaining a sleep environment management process using smart bedding according to an embodiment of the present invention.
2 is a flowchart for explaining a sleep environment management method using smart bedding according to an embodiment of the present invention.
3 is a diagram showing the configuration of a sleep environment management device using smart bedding according to an embodiment of the present invention.
Figure 4 is a view showing the sensor unit of the sleep environment management device built into the smart bedding according to an embodiment of the present invention.
5 is a diagram for explaining a process of implementing an application for managing a sleep environment according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram for explaining a sleep environment management process using smart bedding according to an embodiment of the present invention.

As shown in FIG. 1 , the user may be affected by the sleeping environment including temperature, humidity, fragrance, noise, and lighting of the room (ie, outside the smart bedding) during sleep. In addition, it may be affected by the touch, moisture retention, moisture absorption, moisture resistance, and weight of the bedding to be used.

Existing bedding is warm and cozy, but it is impossible to differentiate according to individual tastes or physical differences of each user. In addition, in the case of existing goose bedding, it is difficult to respond flexibly to changes in demand and supply due to natural materials, so the price fluctuations of down raw materials such as crude oil intensify due to changes in supply, increasing the price burden for down bedding to consumers.

Therefore, there is a need for a method for providing customized bedding using minimum fillers to meet the needs of individual users and for controlling a user-customized sleep environment by measuring various sleep environments.

Accordingly, in the present invention, by measuring data on the sleep environment through smart bedding including a plurality of sensors to provide an optimal sleep environment, analyzing and learning the measured data, and controlling the user's sleep environment, differentiated individuals A sleep environment management method and device providing customized services are proposed.

The smart bedding of the embodiment may be, for example, a bedding used for a user to cover, such as a duvet, blanket, blanket, and the like.

Feedback suitable for the user may be provided through the user terminal in which the application for managing the sleep environment is installed according to the analysis and learning results according to the embodiment of the present invention. In addition, in order to manage a comfortable sleep environment, the user terminal can provide an optimal sleep environment by controlling the sleep environment in conjunction with an indoor IoT device.

For example, air quality, temperature, humidity, noise, illumination, etc. during sleep are measured, analyzed and learned through a plurality of sensors, and air quality during sleep can be managed in conjunction with an air purifier according to the results. Furthermore, you can control the TV or air conditioner through the remote control function.

In addition, it is possible to perform a stochastic statistical analysis on sleep factors to provide an optimal sleep environment, and to provide a solution for improving the user's sleep quality using machine learning-based artificial intelligence.

For example, the solution may provide a function of determining a user's sleep type, a smart guide function of determining an optimal factor required to improve sleep quality and selecting a corresponding guide phrase, and a survey function necessary for the guide.

2 is a flowchart for explaining a sleep environment management method using smart bedding according to an embodiment of the present invention.

In the proposed sleep environment management method using smart bedding, a user terminal with an application for sleep environment management installed collects data related to the user's sleep environment measured through a smart bedding including a plurality of sensors (210), the user terminal Step 220 of storing the collected sleep environment related data and analyzing the stored sleep environment related data to manage the user's sleep environment in a user terminal or a server communicating with the user terminal (220), a result of the analysis According to the step 230 of managing the user's sleep environment through the user terminal, and the user terminal receiving feedback of the user's sleep pattern according to the controlled sleep environment measured through the smart bedding including a plurality of sensors to the database Storing and reflecting the stored sleep pattern of the user when analyzing the sleep environment related data in the server to provide an optimal sleep environment (240).

In step 210, the user terminal in which the application for managing the sleep environment is installed collects data related to the user's sleep environment measured through the smart bedding including a plurality of sensors.

The plurality of sensors may be included in the first sensor unit and the second sensor unit of the sleep environment management device built into the smart bedding according to an embodiment of the present invention. The first sensor unit of the sleep environment management device may include a temperature sensor and a humidity sensor for measuring the temperature and humidity of a space between the smart bedding and a user using the smart bedding. The temperature sensor and the humidity sensor of the first sensor unit may be embedded in a plurality of parts of the smart bedding, respectively. The second sensor unit of the sleep environment management device may include a temperature sensor, a humidity sensor, an air sensor, and an illuminance sensor for measuring temperature, humidity, air quality, and illuminance outside the smart bedding on the opposite side of the user. As such, sleep environment related data may be collected through the first sensor unit and the second sensor unit.

The temperature sensor and humidity sensor of the first sensor unit according to an embodiment of the present invention may be embedded in a plurality of parts of the smart bedding, respectively. In other words, the smart bedding is divided into three parts, upper, middle, and lower, and a temperature sensor and a humidity sensor (eg, bar type) for measuring the temperature and humidity of the space between the smart bedding and the user in each part. (consisting of) can be embedded in smart bedding.

In addition, sleep environment-related data including temperature, humidity, air quality, and illuminance outside the smart bedding can be measured through the temperature sensor, humidity sensor, air sensor, and illuminance sensor according to the embodiment of the present invention.

The data related to the sleep environment measured in this way is transmitted to the user terminal in which the application for managing the sleep environment is installed through the communication unit of the sleep environment management device.

In step 220, the user terminal stores the collected sleep environment related data, and the user terminal or a server communicating with the user terminal analyzes the stored sleep environment related data to manage the user's sleep environment.

In the database according to an embodiment of the present invention, user-related information including the user's age, occupation, gender, average bedtime, average wake-up time, average sleep time, and preferred sleeping environment may be stored in advance. Analysis and learning are performed to provide an optimal sleep environment based on pre-stored user-related information and the stored sleep-environment-related data.

At this time, based on user-related information and sleep environment-related data, probabilistic statistical analysis is performed on sleep factors to provide an optimal sleep environment, and machine learning-based artificial intelligence is used to analyze user-related information and sleep environment-related data. It can perform learning, classification, detection and prediction for

In step 230, the user's sleep environment is managed through the user terminal according to the analysis and learning results in the server.

The analysis and In order to adjust the temperature and humidity of each part according to the learning result, a notification indicating that the filler of the smart bedding needs to be supplemented or removed is provided to the user through an application installed on the user terminal, or user-customized to provide an optimal sleeping environment. can provide information.

Each part of the plurality of parts of the smart bedding is one of the areas divided into the upper, middle, and lower parts of the smart bedding, and the notification requires improvement of the sleeping environment among the areas divided into the upper, middle, and lower parts of the smart bedding. or may be provided in association with areas requiring supplementation or removal of fillers.

More specifically, when the temperature of the lower part of the upper, middle, and lower parts of the smart bedding is measured to be lower than a predetermined static temperature, a notification for filling material replenishment may be displayed through an application installed on the user terminal. For example, a notification may be displayed to guide a sales site for additional purchase of a filler or to proceed with a request for an order in order to replenish the filler.

Existing bedding is warm and cozy, but it is impossible to differentiate according to individual tastes or physical differences of each user. In addition, in the case of existing goose bedding, it is difficult to respond flexibly to changes in demand and supply due to natural materials, so the price fluctuations of down raw materials such as crude oil intensify due to changes in supply, increasing the price burden for down bedding to consumers.

In addition, the existing goose bedding is currently used by filling about 1000g of goose evenly in the case of bedding for two people for all seasons, while the smart bedding according to the embodiment of the present invention is placed in the upper, middle, and lower parts to meet the user's needs. It can be used by filling the goose differentially. In this case, it is possible to apply about 500 g of goose, and it is possible to minimize the use of goose raw materials.

In this way, it is possible to provide customized bedding using minimum fillers to meet the needs of individual users, and to control a user-customized sleep environment by measuring various sleep environments.

In addition, it is possible to provide user-customized information to provide an optimal sleep environment, such as sleep scores, questionnaires, and guides according to analysis and learning results.

According to the analysis and learning results of the sleep environment-related data including temperature, humidity, air quality, and illuminance outside the smart bedding measured by the temperature sensor, humidity sensor, air sensor, and illuminance sensor according to the embodiment of the present invention In order to adjust the sleep environment, it is possible to control the sleep environment outside the smart bedding in conjunction with the indoor IoT device through the application installed on the user terminal.

The application installed on the user terminal interlocks with indoor IoT devices including a thermostat, humidity controller, air purifier, and lighting, and adjusts the indoor temperature through the thermostat according to the analysis and learning results, and controls the indoor temperature through the humidity controller. Humidity can be adjusted. For example, the indoor temperature may be adjusted according to the user's preferred temperature set according to the analysis and learning results, or the optimum temperature for sleeping may be controlled by reflecting the outside temperature forecast.

In addition, the sleeping environment can be controlled by adjusting the air quality through an air purifier and adjusting the brightness of the room through lighting. For example, the color, brightness, etc. of lighting may be adjusted according to sleep environment settings.

In addition, according to the analysis and learning results, it is possible to provide an EEG sound source, wave sound, or rain sound for inducing sleep at the user's average bedtime through a sound speaker, etc. An brain wave sound source or an alarm sound may be provided.

An IoT device that works with a user terminal according to an embodiment of the present invention can use smart home technology that combines user presence detection, automatic control, and voice recognition technology with a deep learning server as well as control through an application. Artificial intelligence learns the user's life pattern, automatically sets the user's preferred temperature, and automatically controls the optimal temperature for sleeping by reflecting the outside temperature forecast. In addition, it is possible to control a customized sleep environment, such as automatically turning off lights, blocking outlets, and controlling an automatic ventilation system, by determining whether or not the user is in the room and the sleeping state. In other words, it is possible to control the sleep environment only with artificial intelligence and voice without controlling it through a user terminal.

In addition, it can be used for user-customized product marketing through applications according to the results of analysis and learning of sleep environment-related data. In this way, a dedicated advertisement page may be provided based on the data related to the sleep environment collected in the application and the result of the analysis, and a new product promotion or notice may be provided to individual users through the dedicated advertisement page.

In step 240, the user terminal receives feedback of the user's sleep pattern according to the controlled sleep environment measured through the smart bedding including a plurality of sensors, stores it in a database, and provides an optimal sleep environment to the server. The stored sleep pattern of the user is reflected when analyzing and learning data related to the sleep environment in .

A user's sleep pattern may be measured through a gyro sensor among a plurality of sensors built into the smart bedding according to an embodiment of the present invention. The user's movement during sleep according to the controlled sleep environment may be measured through a gyro sensor, and the user's sleep pattern may be fed back to the user terminal.

In addition, according to the user's sleep pattern that is fed back, a questionnaire about the sleep environment may be provided to the user through an application installed in the user terminal. The user's survey results according to the controlled sleep environment are collected and stored.

In order to provide an optimal sleep environment by reflecting the user's sleep pattern and the user's survey results according to the stored and controlled sleep environment, the server may repeat the process of analyzing and learning data related to the sleep environment. .

3 is a diagram showing the configuration of a sleep environment management device using smart bedding according to an embodiment of the present invention.

The proposed sleep environment management device 300 using smart bedding includes a first sensor unit 310, a second sensor unit 320, and a communication unit 330, and may be embedded in smart bedding.

The first sensor unit 310 according to an embodiment of the present invention may include a temperature sensor 311 and a humidity sensor 312 for measuring the temperature and humidity of the space between the smart bedding and the user using the smart bedding. have.

The second sensor unit 320 according to an embodiment of the present invention includes a temperature sensor 321, a humidity sensor 322, and an air sensor for measuring the temperature, humidity, air quality, and illuminance outside the smart bedding on the opposite side of the user. 323 , an illuminance sensor 324 and a gyro sensor 315 .

The temperature sensor 311 and the humidity sensor 312 of the first sensor unit 310 according to an embodiment of the present invention may be embedded in a plurality of parts of the smart bedding, respectively. In other words, a temperature sensor 311 and a humidity sensor 312 (e.g., , configured in the form of a bar) can be embedded in smart bedding.

In addition, the outside of the smart bedding on the opposite side of the user through the temperature sensor 321, humidity sensor 322, air sensor 323, and illuminance sensor 324 of the second sensor unit 320 according to an embodiment of the present invention. Sleep environment-related data including temperature, humidity, air quality, and illumination of the room can be measured. Referring to FIG. 4, the first sensor unit 310 and the second sensor unit 320 built into the smart bedding will be described in more detail.

Data related to the sleep environment measured by the first sensor unit 310 and the second sensor unit 320 are transmitted through the communication unit 330 to a user terminal in which an application for managing a sleep environment is installed.

The communication unit 330 according to an embodiment of the present invention is configured to perform analysis and learning on the measured sleep environment related data in a user terminal in which an application for managing the user's sleep environment is installed or a server communicating with the user terminal. Data is transmitted to the user terminal.

The user terminal stores the collected sleep environment related data, and analyzes the stored sleep environment related data in order to manage the user's sleep environment in a server communicating with the user terminal.

In the database according to an embodiment of the present invention, user-related information including the user's age, occupation, gender, average bedtime, average wake-up time, average sleep time, and preferred sleeping environment may be stored in advance. Analysis and learning are performed to provide an optimal sleep environment based on pre-stored user-related information and the stored sleep-environment-related data.

At this time, based on user-related information and sleep environment-related data, probabilistic statistical analysis is performed on sleep factors to provide an optimal sleep environment, and machine learning-based artificial intelligence is used to analyze user-related information and sleep environment-related data. It can perform learning, classification, detection and prediction for According to the results of analysis and learning in the server, the user's sleep environment is managed through the user terminal.

In addition, user-customized information for providing an optimal sleep environment, such as sleep scores, questionnaires, and guides according to analysis and learning results, may be provided through the user terminal.

The analysis and In order to adjust the sleep environment according to the learning result, the sleep environment outside the smart bedding can be controlled in conjunction with the indoor IoT device through the application installed on the user terminal.

The application installed on the user terminal interlocks with indoor IoT devices including a thermostat, humidity controller, air purifier, and lighting, and adjusts the indoor temperature through the thermostat according to the analysis and learning results, and controls the indoor temperature through the humidity controller. Humidity can be adjusted. For example, the indoor temperature may be adjusted according to the user's preferred temperature set according to the analysis and learning results, or the optimum temperature for sleeping may be controlled by reflecting the outside temperature forecast.

In addition, the sleeping environment can be controlled by adjusting the air quality through an air purifier and adjusting the brightness of the room through lighting. For example, the color, brightness, etc. of lighting may be adjusted according to sleep environment settings.

In addition, according to the analysis and learning results, it is possible to provide an EEG sound source, wave sound, or rain sound for inducing sleep at the user's average bedtime through a sound speaker, etc. An brain wave sound source or an alarm sound may be provided.

An IoT device that works with a user terminal according to an embodiment of the present invention can use smart home technology that combines user presence detection, automatic control, and voice recognition technology with a deep learning server as well as control through an application. Artificial intelligence learns the user's life pattern, automatically sets the user's preferred temperature, and automatically controls the optimal temperature for sleeping by reflecting the outside temperature forecast. In addition, it is possible to control a customized sleep environment, such as automatically turning off lights, blocking outlets, and controlling an automatic ventilation system, by determining whether or not the user is in the room and the sleeping state. In other words, it is possible to control the sleep environment only with artificial intelligence and voice without controlling it through a user terminal.

In addition, it can be used for user-customized product marketing through applications according to the results of analysis and learning of sleep environment-related data. In this way, a dedicated advertisement page may be provided based on the data related to the sleep environment collected in the application and the result of the analysis, and a new product promotion or notice may be provided to individual users through the dedicated advertisement page.

Then, the first sensor unit 310 and the second sensor unit 320 measure the user's sleep pattern according to the sleep environment controlled through the user terminal according to the result of analysis and learning in the server.

Among the components of the second sensor unit 320 according to the embodiment of the present invention, the user's sleep pattern may be measured through the gyro sensor 325 . The user's movement during sleep according to the controlled sleep environment may be measured through the gyro sensor 325, and the user's sleep pattern may be fed back to the user terminal.

The communication unit 330 provides feedback to the user terminal to reflect the measured sleep pattern when analyzing the sleep environment related data in the server in order to provide an optimal sleep environment.

According to an embodiment of the present invention, a questionnaire about a sleep environment may be provided to a user through an application installed in a user terminal according to a user's sleep pattern that is fed back. The user's survey results according to the controlled sleep environment are collected and stored.

In order to provide an optimal sleep environment by reflecting the user's sleep pattern and the user's survey results according to the stored and controlled sleep environment, the server may repeat the process of analyzing and learning data related to the sleep environment. .

Figure 4 is a view showing the sensor unit of the sleep environment management device built into the smart bedding according to an embodiment of the present invention.

Referring to FIG. 4 , the temperature sensor and humidity sensor of the first sensor unit according to the embodiment of the present invention may be embedded in a plurality of parts 410 , 420 , and 430 of the smart bedding 400 , respectively. In other words, the smart bedding is divided into three parts: the upper 410, the middle 420, and the lower 430, and the first internal temperature and humidity sensor 411 is embedded in the upper part 410 of the smart bedding, and the smart bedding A second internal temperature and humidity sensor 412 may be embedded in the middle portion 420 of the smart bedding, and a third internal temperature and humidity sensor 413 may be embedded in the lower portion 410 of the smart bedding. Through the first internal temperature and humidity sensor 411, the second internal temperature and humidity sensor 412, and the third internal temperature and humidity sensor 413 built in this way, the upper (410) and middle (420) of the smart bedding , It is possible to measure the temperature and humidity of the space between the smart bedding 400 and the user in each part of the lower part 430.

The temperature of the space between the smart bedding and the user measured in each part through the temperature sensor and humidity sensor built into the upper part 410, the middle part 420, and the lower part 430 of the smart bedding according to an embodiment of the present invention, and In order to adjust the temperature and humidity of each part according to the humidity, a notification indicating the need to supplement or remove the filling material of the smart bedding (e.g., duvet cotton filled in the duvet, which may be goose or down) is installed on the user terminal. It may be provided to the user through an application or user-customized information for providing an optimal sleep environment.

More specifically, when the temperature of the lower part of the upper (410), middle (420), and lower (430) parts of the smart bedding is measured to be lower than a predetermined static temperature, the filling material is replenished through an application installed on the user terminal. notifications can be displayed. For example, a notification may be displayed to guide a sales site for additional purchase of a filler or to proceed with a request for an order in order to replenish the filler. In addition, when the upper 410, the middle 420, and the lower 430 are higher or lower than a predetermined reference temperature and/or reference humidity, the user terminal notifies that the sleeping environment needs to be improved for that part. can output

Smart bedding according to an embodiment of the present invention can be used by differentially filling the goose for the upper, middle, and lower parts to suit the user's needs. In this way, it is possible to provide customized bedding using minimum fillers to meet the needs of individual users, and to control a user-customized sleep environment by measuring various sleep environments.

5 is a diagram for explaining a process of implementing an application for managing a sleep environment according to an embodiment of the present invention.

5(a) is a diagram showing a start screen of an application for managing a sleep environment installed in a user terminal according to an embodiment of the present invention. First, when the application is executed, pairing of the smart bedding with the sleep scene management device according to the embodiment of the present invention and the user terminal can be performed through the product connection GUI 512.

Also, through the login GUI 511, it is possible to move to the user login screen as shown in FIG. 5(b). By performing the user log-in, analysis and learning may be performed based on corresponding user-related information previously stored in the database when analyzing and learning sleep environment-related data. User-related information pre-stored in the database may include information about the user's age, occupation, gender, average bedtime, average wake-up time, average sleep time, preferred sleeping environment, and the like.

When the user login and pairing of the smart bedding with the user terminal is completed, it is possible to move to the sleep environment setting screen as shown in FIG. 5 (c). The user terminal may communicate with smart bedding through short-range wireless communication (eg, Bluetooth). A sleep environment desired by the user may be set through the sleep environment setting GUI 513 . For example, the user may arbitrarily set desired humidity, temperature, noise level, air quality level, and the like. Based on the sleep environment set as described above, a user-customized sleep environment may be provided according to results of analysis and learning of data related to the sleep environment collected from the sleep environment management device according to an embodiment of the present invention.

Installed in a user terminal to adjust the sleep environment according to analysis and learning results of sleep environment related data including indoor temperature, humidity, air quality and illumination measured by the sleep environment management device according to an embodiment of the present invention. Through the application, it is possible to control the indoor sleeping environment by interlocking with the indoor IoT device.

The application installed on the user terminal interlocks with indoor IoT devices including a thermostat, humidity controller, air purifier, and lighting, and adjusts the indoor temperature through the thermostat according to the analysis and learning results, and controls the indoor temperature through the humidity controller. Humidity can be adjusted. For example, the indoor temperature may be adjusted according to the user's preferred temperature arbitrarily set by the user or set according to analysis and learning results, or the optimum temperature for sleeping may be controlled by reflecting the outside temperature forecast.

In addition, the sleeping environment can be controlled by adjusting the air quality through an air purifier and adjusting the brightness of the room through lighting. For example, the color, brightness, etc. of lighting may be adjusted according to sleep environment settings.

In addition, a user may set a desired sleep mode through the sleep mode setting GUI 514 .

5(d) shows a sleep mode setting screen according to an embodiment of the present invention. For example, according to the results of analysis and learning of data related to the sleep environment, an EEG sound source, wave sound, or rain sound for inducing sleep may be provided at the user's average bedtime through a sound speaker, etc., and the user's average wake-up time may provide an arousal brain wave sound source or an alarm sound for wake-up induction.

Through the sound source list GUI 515, it is possible to move to a screen for selecting a sleep mode sound source as shown in FIG. 5(e). The sleep mode sound source may include sound sources such as rain sound, wave sound, bird sound, stream sound, and white noise for inducing sleep. After the user selects a desired sleep mode sound source, the user may move to the sleep mode setting screen as shown in FIG. 5(f) again through the sound source selection completion GUI 516. Thereafter, the sleep environment setting desired by the user may be terminated through the sleep mode termination GUI 517 .

By controlling the user's sleep environment according to the sleep environment set as described above, a differentiated personalized service may be provided.

In addition, feedback for providing an optimal sleep environment to the user may be provided through an application for managing a sleep environment according to an embodiment of the present invention. For example, it is possible to perform probabilistic statistical analysis on sleep factors to provide an optimal sleep environment, and to provide a solution for improving the user's sleep quality using machine learning-based artificial intelligence. The solution can provide a function to determine the user's sleep type, a smart guide function to select the guide phrase by determining the optimal factor needed to improve the quality of sleep, and a survey function necessary for the guide.

The devices described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. can be embodied in The software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (10)

Collecting, by a user terminal with an application for managing a sleep environment, data related to a user's sleep environment measured through a smart bedding including a plurality of sensors;
The user terminal stores the collected sleep environment related data, and analyzes the stored sleep environment related data to manage the user's sleep environment in the user terminal or a server communicating with the user terminal; and
Managing the user's sleep environment through the user terminal according to the result of the analysis
including,
The smart bedding is the plurality of sensors,
A temperature sensor and a humidity sensor for measuring the temperature and humidity of a space between the smart bedding and a user using the smart bedding, wherein the temperature sensor and humidity sensor are embedded in a plurality of parts of the smart bedding, respectively. a first sensor unit;
A second sensor unit including a temperature sensor, a humidity sensor, an air sensor, and an illuminance sensor for measuring the temperature, humidity, air quality, and illuminance outside the smart bedding on the opposite side of the user.
including,
The collecting step is
Collecting sleep environment related data through the first sensor unit and the second sensor unit
How to manage your sleep environment. According to claim 1,
The step of performing the analysis is,
Provides an optimal sleep environment based on user-related information including the user's age, occupation, gender, average bedtime, average wake-up time, average sleep time, and preferred sleep environment stored in the database in advance, and the stored sleep environment-related data to perform an analysis to
How to manage your sleep environment. According to claim 2,
The step of performing the analysis is,
Based on user-related information and sleep environment-related data, perform probabilistic statistical analysis on sleep factors to provide an optimal sleep environment, and learn user-related information and sleep environment-related data using machine learning-based artificial intelligence , which performs classification, detection and prediction.
How to manage your sleep environment. According to claim 1,
Managing the user's sleep environment through the user terminal according to the analysis and learning results in the server,
Based on the temperature and humidity of the space between the smart bedding and the user measured in each part of the smart bedding by the first sensor unit embedded in each of the plurality of parts of the smart bedding, the sleeping environment for each part Providing a notification indicating that improvement is required, or providing a notification indicating that supplementation or removal of the filler of the smart bedding is required for each part.
Sleep environment management method comprising a. According to claim 4,
Each part of the plurality of parts of the smart bedding is one of the areas divided into the upper, middle and lower parts of the smart bedding,
The notification is provided in relation to the area where the sleeping environment needs to be improved or the filler needs to be supplemented or removed among the areas divided into the upper, middle and lower parts of the smart bedding
How to manage your sleep environment. According to claim 1,
Managing the user's sleep environment through the user terminal according to the analysis and learning results in the server,
The sleep environment according to the analysis of the sleep environment-related data including the temperature, humidity, air quality, and illuminance of the outside of the smart bedding measured by the temperature sensor, humidity sensor, air sensor, and illuminance sensor included in the second sensor unit In order to control the indoor sleep environment by interlocking with the indoor IoT device through the application installed on the user terminal
How to manage your sleep environment. According to claim 6,
The management step is
The application installed on the user terminal interlocks with indoor IoT devices including a thermostat, humidity controller, air purifier, and lighting, and adjusts the indoor temperature through the thermostat according to the analysis result, and controls the indoor humidity through the humidity controller. Controlling the sleeping environment by controlling the air quality through air purifiers and adjusting the brightness of the room through lighting
Sleep environment management method comprising a. According to claim 1,
The second sensor unit further includes a gyro sensor,
The user's sleep pattern, including the user's movement during sleep measured by the gyro sensor, is fed back, and a questionnaire about the sleep environment is provided to the user through an application installed on the user terminal, and the user's survey result according to the controlled sleep environment Steps to collect and store
Sleep environment management method further comprising a. According to claim 8,
The step of performing the analysis is,
Reflecting the stored sleep pattern and the user's survey results, repeating the analysis of the sleep environment related data
How to manage your sleep environment. A first step comprising a temperature sensor and a humidity sensor for measuring temperature and humidity of a space between a smart bedding and a user using the smart bedding, wherein the temperature sensor and the humidity sensor are respectively embedded in a plurality of parts of the smart bedding 1 sensor unit;
A second sensor unit including a temperature sensor, humidity sensor, air sensor, and illuminance sensor for measuring temperature, humidity, air quality, and illuminance outside the smart bedding on the opposite side of the user; and
The sleep environment measured from the first sensor unit and the second sensor unit is performed to analyze the measured sleep environment related data in a user terminal where an application for managing the user's sleep environment is installed or a server communicating with the user terminal. Communication unit that transmits related data to the user terminal
and is built into the smart bedding
Sleep environment management device.

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