CN109032223B - Sleep environment adjusting device, system and method - Google Patents
Sleep environment adjusting device, system and method Download PDFInfo
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- CN109032223B CN109032223B CN201810938728.7A CN201810938728A CN109032223B CN 109032223 B CN109032223 B CN 109032223B CN 201810938728 A CN201810938728 A CN 201810938728A CN 109032223 B CN109032223 B CN 109032223B
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Abstract
The invention discloses a sleep environment adjusting device, a system and a method, comprising the following steps: receiving physical sign state data of a user during sleeping and sleeping environment data of an environment where the user is located during sleeping; judging the physical sign state data of the user during sleeping by utilizing a user sleep model to obtain the sleep depth information of the user, and determining sleep environment control parameters according to the sleep depth information and the sleep environment data of the user; and sending the sleep environment control parameters to IoT equipment in the environment where the user is in the sleep state so as to adjust the environment state where the user is in the sleep state. The invention adopts an artificial intelligence method, learns the self preference of the user and adjusts the special environment suitable for the user through IoT; the formed user sleep model can be conveniently migrated to a new environment of a user; the invention can grade the sleep degree, the sleep degrees of different levels correspond to different environments, and the user can enter a deep sleep state more quickly by intelligently adjusting the environments.
Description
Technical Field
The invention relates to the field of Internet of Things, in particular to a sleep environment adjusting device, system and method based on IoT (Internet of Things).
Background
The Internet of Things (IoT, Internet of Things) is a network that enables all common physical objects that can be addressed independently to achieve interconnection and interworking based on information bearers such as the Internet and a traditional telecommunication network. The method has three important characteristics of common object equipment, autonomous terminal interconnection and pervasive service intellectualization.
Artificial Intelligence (AI), a branch of computer science, is dedicated to understanding the essence of Intelligence and to producing a new intelligent machine that can react in a manner similar to human Intelligence, and research in this field includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be 'containers' of human intelligence. The artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a human, and can also exceed human intelligence.
With the change of urban development and social life, the sleeping habits of people have changed greatly. The daily average sleeping time of people is becoming shorter and shorter, so that the health of people is influenced more and more due to sleep deficiency. In addition, along with the improvement of living standard of people, higher requirements are also put forward on the requirements of sleeping environment. Accordingly, there are also increasing techniques that have helped people improve sleep quality by adjusting the sleep environment of users.
For the technology in the aspect of sleep environment adjustment, at present, the sleep environment of a user is adjusted through single or multiple environmental factors such as sound temperature and the like, the user is helped to sleep, the mode is relatively fixed, the requirements of different stages of the user in sleep on the environment and the conditions of multiple users are not considered, in addition, sleep data cannot be shared, and the mobility is not high. And also has some problems to be improved:
(1) the adjusting mode in the prior art is relatively fixed and can not be well different from person to person;
(2) the prior art has no sharing mechanism, and the user sleep data has no mobility;
(3) the prior art does not consider the requirements of different sleeping degrees of a user on the environment in the sleeping process;
(4) the prior art does not consider how to keep the user in a deep sleep state;
(5) the prior art does not consider a multi-user scenario.
Disclosure of Invention
In view of this, the present invention provides a sleep environment adjusting apparatus, system and method, which utilize an IoT device and an artificial intelligence means to adjust the sleep environment of a user in real time according to the physical sign state data and the sleep environment data of the user during sleep based on a user sleep model, so as to improve the sleep quality of the user.
The technical scheme of the invention is realized as follows:
a sleep environment adjusting apparatus comprising:
the sleep data receiving unit is used for receiving physical sign state data of a user during sleep and sleep environment data of the environment where the user is located during sleep;
the sleep data processing unit is used for judging the physical sign state data of the user during sleeping by utilizing a user sleep model to obtain the sleep depth information of the user and determining a sleep environment control parameter according to the sleep depth information of the user and the sleep environment data;
a sleep environment parameter sending unit, configured to send the sleep environment control parameter to an IoT device in an environment where the user is in sleep.
Further, the sleep environment adjusting apparatus further includes:
the network data acquisition unit is used for acquiring a public sleep data model from the Internet side;
the sleep data processing unit is further configured to perform artificial intelligence training on a public sleep data model by using the physical sign state data and the sleep environment data to obtain the user sleep model.
Further, the sleep environment adjusting apparatus further includes:
the network data sending unit is used for sending the physical sign state data and the sleep environment data to an Internet side;
the network data acquisition unit is further configured to acquire the user sleep model from the internet side.
Further, the network data sending unit is further configured to send the user sleep model obtained by the sleep data processing unit to the internet side for storage.
Further, the sleep data receiving unit is further configured to receive sign state data of each user when multiple users sleep in the same environment at the same time;
the sleep data processing unit is further configured to combine the user sleep models of the multiple users to form a multi-user sleep model, and determine the sleep environment control parameters of the same environment where the multiple users are located by determining the physical sign state data of each user when the multiple users sleep in the same environment at the same time by using the multi-user sleep model.
Further, the sleep environment adjusting apparatus further includes:
and the storage unit is used for storing the user sleep model, the physical sign state data, the sleep environment data and the sleep environment control parameters.
Further, the sleep environment adjusting apparatus further includes:
a sleep statistic data sending unit, configured to send the physical sign state data, the sleep depth information, the sleep environment data, and the sleep environment control parameter of the user during sleep to a data display device.
A sleep environment modification system, comprising:
the sleep environment modification apparatus as described in any one of the above;
the sleep monitoring device is used for monitoring physical sign state data of the user during sleeping and sleep environment data of the environment where the user is located during sleeping and sending the physical sign state data and the sleep environment data to the sleep environment adjusting device;
the IoT equipment is used for receiving the sleep environment control parameters from the sleep monitoring device and adjusting the environmental state of the user during sleep according to the sleep environment control parameters; wherein the content of the first and second substances,
the sleep environment adjusting device is configured to determine the sleep environment control parameter according to the physical sign state data of the user during sleep and the sleep environment data of the environment where the user is located during sleep, and send the sleep environment control parameter to the IoT device.
Further, the sleep environment adjusting system further includes:
and the network data server is positioned on the Internet side and used for storing the public sleep data model and the user sleep model, receiving the physical sign state data and the sleep environment data from the sleep environment adjusting device and performing artificial intelligence training on the public sleep data model by using the physical sign state data and the sleep environment data so as to obtain the user sleep model.
Further, the network data server is further configured to combine the user sleep models of multiple users sleeping simultaneously in the same environment to form a multi-user sleep model, and send the multi-user sleep model to the sleep environment adjustment device.
Further, the sleep monitoring device includes:
a wearable device worn on the user, an environmental sensor and a sound receiver in an environment in which the user is asleep.
Further, the environmental sensor includes:
body temperature sensor, pulse sensor, pressure sensor, ambient temperature sensor, ambient humidity sensor, oxygen content sensor, PM2.5 sensor.
Further, the IoT device includes:
intelligence lamps and lanterns, intelligent (window) curtain, intelligent TV, intelligent audio amplifier, intelligent air conditioner, intelligent humidifier, intelligent air purifier, intelligent negative oxygen ion generator.
Further, the sleep environment adjusting system further includes:
the data display device is used for receiving and displaying the physical sign state data, the sleep depth information, the sleep environment data and the sleep environment control parameters when the user sleeps from the sleep environment adjusting device.
Further, the data display device includes:
the intelligent refrigerator comprises a smart phone screen, a tablet computer screen, a display, an intelligent television, a display screen of the intelligent refrigerator with the display screen, and a projector.
A sleep environment adjustment method, comprising:
receiving physical sign state data of a user during sleeping and sleeping environment data of an environment where the user is located during sleeping;
judging the physical sign state data of the user during sleeping by utilizing a user sleep model to obtain the sleep depth information of the user, and determining a sleep environment control parameter according to the sleep depth information of the user and the sleep environment data;
and sending the sleep environment control parameters to IoT equipment in the environment where the user is in sleep so as to adjust the environment state where the user is in sleep.
Further, the method further comprises:
and carrying out artificial intelligence training on a public sleep data model by using the physical sign state data and the sleep environment data to obtain the user sleep model.
Further, the method further comprises:
combining user sleep models of a plurality of users who sleep in the same environment at the same time to form a multi-user sleep model;
and determining sleep environment control parameters of the same environment where the plurality of users are located by judging the physical sign state data of the users when the plurality of users sleep in the same environment simultaneously by using the multi-user sleep model.
Further, the environmental state includes environmental brightness, sound, temperature, humidity, purification degree, and negative oxygen ion concentration.
According to the scheme, the sleep environment adjusting device, the sleep environment adjusting system and the sleep environment adjusting method adopt an artificial intelligence method, learn the preference of a user, and adjust the special environment suitable for the user through the IoT; the formed user sleep model can be conveniently migrated to a new environment of the user (for example, the Internet is utilized), so that the user can quickly adapt to the new sleep environment; the sleep degree can be effectively graded, the environments required by the sleep degrees of different grades are different, the microenvironment is intelligently adjusted, and the user can quickly enter a deep sleep state; if the user is switched to other relatively shallow sleep states from the deep sleep state level in abnormal time, analyzing reasons by combining the sleep model of the user, and adjusting corresponding environment in time to enable the user to switch to the deep sleep level again; the artificial intelligence method is used, the sleep model data of multiple users are effectively combined to form a universal sleep model, and multiple users who sleep in the same room at the same time have a relatively suitable environment.
Drawings
FIG. 1 is a schematic diagram of a sleep environment adjusting apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a sleep environment adjustment system according to an embodiment of the present invention;
FIG. 3 is a flowchart of a sleep environment adjusting method according to an embodiment of the present invention;
FIG. 4 is a schematic illustration of the present invention in sensing whether a user is preparing to fall asleep in an embodiment that facilitates falling asleep;
FIG. 5 is a schematic view of the present invention in an embodiment for facilitating falling asleep for regulating a user's environment;
FIG. 6 is a schematic diagram illustrating the sleep grading of a user during sleep according to the present invention;
FIG. 7 is a diagram illustrating the present invention that, after the deeper level of sleep is changed to the shallower level during the sleep process, the sleep environment is adjusted to assist the user to enter the deeper level of sleep again;
FIG. 8 is a diagram illustrating data migration for a user sleep model according to the present invention;
FIG. 9 is a diagram illustrating the present invention adjusting the sleep environment when the user is in a new environment;
FIG. 10 is a diagram of sleep data shown in the present invention;
FIG. 11 is a diagram of a sleep data multi-device sharing presentation in accordance with the present invention;
FIG. 12 is a diagram illustrating a sleep curve of multiple users in the present invention;
FIG. 13 is a diagram illustrating data sharing for a new user sleep model in accordance with the present invention;
FIG. 14 is a diagram illustrating the combination of member sleep data in accordance with the present invention;
FIG. 15 is a schematic diagram of the present invention for adjusting a sleep environment to be suitable for a multi-user environment at the same time;
FIG. 16 is a schematic diagram of sleep model data with missing members in the present invention;
FIG. 17 is a schematic diagram of obtaining a common sleep data model in accordance with the present invention;
FIG. 18 is a diagram illustrating the acquisition of a user sleep model unique to the user in the present invention;
FIG. 19 is a diagram illustrating the adjustment of a user sleep model according to user requirements.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and examples.
As shown in fig. 1, the sleep environment adjusting apparatus according to the embodiment of the present invention mainly includes a sleep data receiving unit 101, a sleep data processing unit 102, and a sleep environment parameter transmitting unit 103. The sleep data receiving unit 101 and the sleep environment parameter transmitting unit 103 are both connected (e.g., wired or wirelessly connected) to the sleep data processing unit 102. The sleep data receiving unit 101 is configured to receive sign state data of a user during sleep and sleep environment data of an environment in which the user is located during sleep. The sleep data processing unit 102 is configured to obtain sleep depth information of the user by determining the physical sign state data of the user during sleep using the user sleep model, and determine a sleep environment control parameter according to the sleep depth information of the user and the sleep environment data. The sleep environment parameter sending unit 103 is configured to send the sleep environment control parameters to IoT devices in the environment where the user is in sleep.
In an embodiment, the sleep environment adjusting apparatus further includes a network data acquiring unit 104, and the network data acquiring unit 104 is connected to the sleep data processing unit 102, and is configured to acquire the common sleep data model from the internet side. The sleep data processing unit 102 is further configured to perform artificial intelligence training on the public sleep data model by using the physical sign state data and the sleep environment data to obtain a user sleep model.
In a specific embodiment, the sleep environment adjusting apparatus further includes a network data sending unit 105, and the network data sending unit 105 is connected to the sleep data processing unit 102, and is configured to send the physical sign state data and the sleep environment data to an internet side. The network data acquiring unit 104 is further configured to acquire a user sleep model from the internet side. In a specific embodiment, the network data sending unit 105 is further configured to send the user sleep model obtained by the sleep data processing unit 102 to the internet side for storage. In this embodiment, the user sleep model can be stored in the internet side, so that when the sleep environment of the user changes (for example, the user goes out or goes on a business trip to change the sleep environment from home to hotel or hotel), the user can download the user sleep model from the internet side in a new environment, and the user can adapt to the new sleep environment quickly.
In a specific embodiment, the sleep data receiving unit 101 is further configured to receive sign state data of each user when multiple users are sleeping in the same environment at the same time. The sleep data processing unit 102 is further configured to combine the user sleep models of the multiple users to form a multi-user sleep model, and determine the sleep environment control parameters of the same environment where the multiple users are located by determining the physical sign state data of each user when the multiple users sleep in the same environment simultaneously through the multi-user sleep model.
In a specific embodiment, the sleep environment adjusting apparatus further includes a storage unit 106, and the storage unit 106 is connected to the sleep data processing unit 102 and is configured to store the user sleep model, the physical sign state data, the sleep environment data, and the sleep environment control parameters. The storage unit 106 also performs data interaction with the sleep data processing unit 102, assists the sleep data processing unit 102 in computation (e.g., artificial intelligence training) and stores intermediate data.
In a specific embodiment, the sleep environment adjusting apparatus further includes a sleep statistic data sending unit 107, and the sleep statistic data sending unit 107 is connected to the sleep data processing unit 102, and is configured to send the physical sign state data, the sleep depth information, the sleep environment data, and the sleep environment control parameters of the user during sleep to the data display apparatus.
As shown in fig. 2, the sleep environment adjusting system provided in the embodiment of the present invention mainly includes a sleep environment adjusting apparatus 1, a sleep monitoring apparatus 2, and an IoT device 3. The sleep environment adjusting apparatus 1 adopts the sleep environment adjusting apparatus in the above embodiment. The sleep monitoring device 2 is in communication with the sleep environment adjusting device 1 in a wired or wireless mode, and the sleep monitoring device 2 is used for monitoring physical sign state data of a user during sleep and sleep environment data of an environment where the user is located during sleep and sending the physical sign state data and the sleep environment data to the sleep environment adjusting device 1. The IoT device 3 communicates with the sleep environment adjusting apparatus 1 in a wired or wireless manner, and the IoT device 3 is configured to receive the sleep environment control parameter from the sleep monitoring apparatus 1 and adjust the environment state of the user during sleep according to the sleep environment control parameter. The sleep environment adjusting device 1 is configured to determine a sleep environment control parameter according to the physical sign state data of the user during sleep and the sleep environment data of the environment where the user is located during sleep, and send the sleep environment control parameter to the IoT device 3.
In a specific embodiment, the sleep environment adjustment system further comprises a network data server 4. The sleep environment adjustment apparatus 1 performs data communication with the network data server 4 through the internet. The network data server 4 is located on the internet side. The sleep environment adjustment apparatus 1 performs data communication with the network data server 4 through the internet. The network data server 4 is used for storing the public sleep data model and the user sleep model, receiving the physical sign state data and the sleep environment data from the sleep environment adjusting device 1, and performing artificial intelligence training on the public sleep data model by using the physical sign state data and the sleep environment data to obtain the user sleep model. In this embodiment, the network data server 4 is used to perform artificial intelligence training on the public sleep data model through artificial intelligence means to obtain the user sleep model. In the foregoing embodiment, the user sleep model may also be obtained by performing artificial intelligence training on the common sleep data model in the sleep environment adjusting apparatus 1 (e.g., by using the sleep data processing unit 102 in the sleep environment adjusting apparatus 1) through artificial intelligence means.
In an embodiment, the network data server 4 is further configured to combine the user sleep models of multiple users sleeping simultaneously in the same environment to form a multi-user sleep model, and send the multi-user sleep model to the sleep environment adjusting apparatus 1. In this embodiment, a plurality of users in the same environment are combined to obtain a multi-user sleep model that can be used for the plurality of users (for example, user members of the same family), so that adjustment that adapts to the sleep environment of the user during multi-user sleep is solved.
In one implementation, the sleep monitoring apparatus 1 may include, but is not limited to, a wearable device worn on the user, environmental sensors and sound receivers in the environment in which the user is sleeping.
Wherein, the environmental sensor can include but is not limited to body temperature sensor, pulse sensor, pressure sensor, ambient temperature sensor, ambient humidity sensor, oxygen content sensor, PM2.5 sensor.
In one implementation, IoT devices 3 may include, but are not limited to, smart lights, smart curtains, smart televisions, smart speakers, smart air conditioners, smart humidifiers, smart air purifiers, smart negative oxygen ion generators.
In addition, in a specific embodiment, the sleep environment adjusting system further includes a data display device 5, the data display device 5 is connected with the sleep monitoring device 1 in a wired or wireless manner, and the data display device 5 is configured to receive and display statistical data such as physical sign state data, sleep depth information, sleep environment data and sleep environment control parameters of the user during sleep from the sleep environment adjusting device 1 for the user to refer.
In one implementation, the data display device 5 may include, but is not limited to, a smartphone screen, a tablet screen, a display, a smart television, a display screen of a smart refrigerator with a display screen, a projector.
In a specific embodiment, the sleep environment adjusting system further includes an input device 6, the input device 6 is connected with the sleep monitoring apparatus 1 in a wired or wireless manner, and the input device 6 is used for inputting relevant sleep setting data, which may include, for example, information of sleep duration, desired sleep depth, desired ambient temperature, humidity, brightness, degree of silence, and the like. Input devices 6 may include, but are not limited to, a keyboard, a smart phone, a computer, etc. The data display device 5 and the input device 6 can be matched to realize human-computer interaction between a user and the sleep environment adjusting system. When the intelligent mobile phone or the computer is adopted, corresponding sleep-assisting APP (application) software can be installed in the intelligent mobile phone or the computer, and the sleep-assisting APP software is used as an interface to carry out man-machine interaction between a user and the sleep environment adjusting system.
As shown in fig. 3, a sleep environment adjusting method according to an embodiment of the present invention includes:
receiving physical sign state data of a user during sleeping and sleeping environment data of an environment where the user is located during sleeping;
judging the physical sign state data of the user during sleeping by utilizing a user sleep model to obtain the sleep depth information of the user, and determining sleep environment control parameters according to the sleep depth information and the sleep environment data of the user;
and sending the sleep environment control parameters to IoT equipment in the environment where the user is in the sleep state so as to adjust the environment state where the user is in the sleep state.
In a specific embodiment, the method further comprises:
and carrying out artificial intelligence training on the public sleep data model by using the physical sign state data and the sleep environment data to obtain the user sleep model.
In a specific embodiment, the method further comprises:
combining user sleep models of a plurality of users who sleep in the same environment at the same time to form a multi-user sleep model;
the method comprises the steps of judging the physical sign state data of each user when a plurality of users sleep in the same environment simultaneously by utilizing a multi-user sleep model to determine the sleep environment control parameters of the same environment where the plurality of users are located.
The environmental conditions may include, but are not limited to, ambient brightness, sound, temperature, humidity, purity, and negative oxygen ion concentration.
The following are several examples utilizing the present invention.
The first embodiment is as follows: promote falling asleep
(1) The method comprises the steps of sensing whether a user lies on a bed still, collecting user data (such as lying posture, movement frequency, breathing frequency, heartbeat frequency and the like) by combining a wearable device and other sensors, and judging whether the user is ready to fall asleep or not by combining a sleep model of the user. As shown in fig. 4, the wearable device and other sensors collect user data (i.e., vital signs state data of the user) to determine whether the user is ready to fall asleep in conjunction with the user sleep model.
(2) If the user is ready to fall asleep, the sleep model of the user is used for adjusting the sleep environment (such as temperature, humidity, oxygen concentration, negative oxygen ion content and the like) suitable for the user, reducing the content of harmful substances (such as formaldehyde, PM2.5 and the like) in the air, adjusting the hardness of the bed body, starting the sleep-assisting massage function of the bed body, gradually playing sleep-assisting music, dimming light and turning off a television. As shown in fig. 5, after the user is determined to be about to fall asleep, the light is turned off or dimmed, the television is turned off, the air conditioner is adjusted to the sleep mode, the appropriate temperature, humidity, oxygen concentration, negative oxygen ion content and the like are adjusted, the hardness of the bed body is adjusted, the sleep-assisting massage function is started, and the sleep-assisting music is played progressively to assist the user to enter the sleep state.
Example two: adjusting the environment according to the user's sleep level during the sleep process
(1) As shown in fig. 6, during the sleep of the user, the sleep data (such as respiratory rate, heart rate, turn-over rate, eye movement rate, electroencephalogram curve, etc.) of the user, i.e. the data of physical sign state during sleep, is collected, and the sleep level of the user is determined according to the sleep model of the user, and the sleep level of the user is divided into a level from shallow to deep to a level from a level a to a level F, wherein the level F is the best deep sleep mode. The user sleep level is the sleep depth information of a user.
(2) When a user shifts sleep from a deeper level to a shallower level in abnormal time, artificial intelligence quickly analyzes reasons, judges the influence degree of environmental factors on the shift, timely adjusts the corresponding environment according to the sleep model of the user, and enables the user to enter the deep level sleep again, the decision-making factors for adjustment are made by referring to the demands of the public sleep environment and the characteristics of the user, the adjustment mode adopts a gradual tentative adjustment strategy, the sleep feedback of the user is judged in real time in the adjustment process, the adjustment strategy is timely fine-tuned according to the feedback, and finally the sleep model suitable for the user is formed. For example, as shown in fig. 7, when it is monitored that the sleep level of the user is being changed from a deeper level D to a shallower level C during the sleep process of the user, the reason for the change from the level D to the level C is analyzed by an artificial intelligence means, and the sleep environment is adjusted to facilitate the user to enter the level D sleep again.
Example three: user sleep model data migration
(1) When a user needs to change a sleep place due to factors such as business trip and the like, the user can migrate the user sleep model of the user through the mobile device or the cloud service in a new place. As shown in fig. 8, when the user reaches the new sleep environment, the user sleep model is shared to the sleep environment adjustment device in the new environment for use through the mobile device or the cloud service (e.g., the network data server).
(2) As shown in fig. 9, after receiving the user sleep model, the sleep environment adjusting apparatus in the new location adjusts the sleep environment for the user in combination with the IoT device provided by the new location itself, and constantly adjusts the sleep environment of the user according to the sleep level.
(3) The sleep environment adjusting device at the new place records the user sleep data and uploads the user sleep data to the user mobile equipment or cloud service (such as a network data server) when the user leaves, so as to be used for later reference.
Example four: sleep quality display
(1) After the user is asleep, the user wants to view the quality curve of the current sleep or the historical sleep, the quality curve of the current sleep or the historical sleep may be displayed through the mobile device or the data display device, and the displayed content may further include, but is not limited to, statistical data such as physical sign state data, sleep depth information, sleep environment data, sleep environment control parameters, and the like when the user is asleep. Fig. 10 shows sleep data displayed in the present embodiment.
(2) As shown in fig. 11, the sleep data of the user may be downloaded to a display device used by the user, such as a mobile device (smart phone, smart watch, tablet computer, etc.), a smart tv device, etc., and the sleep data is presented to the user in combination with the sleep level.
(3) As shown in fig. 12, for the sleep data presentation of multiple users, the sleep curve of each user may be presented separately.
Example five: multi-user sleep data combining
(1) As shown in fig. 13, when a new member is added to a bedroom of a user, the new member shares its own sleep model through a mobile device or cloud storage. The user relationship generally refers to a family relationship, but may refer to other relationships as well.
(2) As shown in fig. 14, after receiving sleep data (e.g., sleep data model) of a new member, combining the sleep data with sleep data of an existing member, and using artificial intelligence to formulate a set of general sleep data (e.g., multi-user sleep model) for adjusting the sleep environment of a user, the data combination is performed in a manner that a corresponding weight ratio is given according to the tolerance of the user to the environment, and the sleep model is prone to users with weak tolerance to the sleep environment, such as the elderly and children. The receiving of the sleep data of the new member can be obtained by the mobile device (such as the smart watch in fig. 14) of the old member from one device of the new member and generate the multi-user sleep model, or the sleep environment adjusting device can be used for obtaining the sleep data model of the new member and the old member and generating the multi-user sleep model. As shown in fig. 15, according to the generated multi-user sleep model, the sleep environment is adjusted to be suitable for the environment of multiple users at the same time.
(3) As shown in fig. 16, when a user is ready to fall asleep, the system detects whether other members enter the sleep area, and if not, removes the factor of the sleep model of the non-members during the environmental adjustment, so that the environmental adjustment mechanism conforms to the habit of the sleeping user.
Example six: personalized requirements
(1) In the initial state, a pre-trained sleep data model (namely, a public sleep data model) which accords with the public sleep habit is implanted. As shown in fig. 17, the basic sleep model (i.e., a public sleep data model, a sleep data model conforming to a mass sleep habit) is obtained by algorithmic training using sleep data of several users.
(2) As shown in fig. 18, based on the basic sleep model, the machine learning method is used to train the sleep model by continuously using the sleep data of the user, and the sleep model data is adjusted in time to be closer to the sleep habit of the user. Finally, a user sleep model which is suitable for the user is formed.
(3) As shown in fig. 19, when the user desires to change his/her sleep habit, he/she may input his/her sleep plan, and the sleep environment adjusting device adjusts the corresponding sleep model according to the input of the user, so as to help the user to better change his/her sleep habit.
The sleep environment adjusting device, the sleep environment adjusting system and the sleep environment adjusting method adopt an artificial intelligence method, learn the self preference of a user, and adjust the special environment suitable for the user through IoT; the formed user sleep model can be conveniently migrated to a new environment of the user (for example, the Internet is utilized), so that the user can quickly adapt to the new sleep environment; the sleep degree can be effectively graded, the environments required by the sleep degrees of different grades are different, the microenvironment is intelligently adjusted, and the user can quickly enter a deep sleep state; if the user is switched to other relatively shallow sleep states from the deep sleep state level in abnormal time, analyzing reasons by combining the sleep model of the user, and adjusting corresponding environment in time to enable the user to switch to the deep sleep level again; the artificial intelligence method is used, the sleep model data of multiple users are effectively combined to form a universal sleep model, and multiple users who sleep in the same room at the same time have a relatively suitable environment.
In addition, the present invention also has significant differences and/or advantages over the disclosed patented technology.
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Chinese patent CN107726544A discloses a method, an apparatus, a server and a storage medium for recommending sleep curves of big data. Compared with the patent which mainly regulates and controls problems and light rays, the invention can also regulate humidity, air quality and the like, and can also migrate the data of the user sleep model.
Chinese patent CN105653889A discloses a sleep system based on the internet of things. Compared with the patent which mainly monitors the sleep of the user and forms a health report, the invention focuses on improving the sleep quality of the user.
Chinese patent CN105760693A discloses an intelligent sleep supervision system and an intelligent health sleep supervision control system based on the internet of things. Compared with the patent which mainly monitors the sleep of the user to form a health report, the invention focuses on improving the sleep environment and improving the sleep quality of the user.
Chinese patent CN105760693A discloses an intelligent sleep supervision system and an intelligent health sleep supervision control system based on the internet of things. Compared with the prior art, the invention improves the sleep quality by controlling the sleep environment of the user environment.
Chinese patent CN104224163A discloses a sleep respiratory disease remote monitoring and management system based on internet of things. Compared with the patent which mainly monitors the sleep of the user to form a health report for medical use, the invention focuses on improving the sleep environment and improving the sleep quality of the user.
Chinese patent CN107678294A discloses an intelligent home sleep environment control system. Although the patent provides environment regulation of temperature, humidity and the like, the individual difference of the user is not added, compared with the method, the method adds an artificial intelligence mode, dynamically adjusts and adapts to the specific sleep model of the user, and the data of the sleep model can be migrated.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (17)
1. A sleep environment adjustment apparatus, comprising:
the sleep data receiving unit is used for receiving physical sign state data of a user during sleep and sleep environment data of the environment where the user is located during sleep;
the network data acquisition unit is used for acquiring a public sleep data model from the Internet side;
the sleep data processing unit is used for judging physical sign state data of the user during sleeping by utilizing a user sleep model to obtain sleep depth information of the user and determining sleep environment control parameters according to the sleep depth information of the user and the sleep environment data, and the sleep data processing unit is also used for carrying out artificial intelligence training on a public sleep data model by utilizing the physical sign state data and the sleep environment data to obtain the user sleep model;
a sleep environment parameter sending unit, configured to send the sleep environment control parameter to an IoT device in an environment where the user is in sleep.
2. The sleep environment adjustment apparatus as claimed in claim 1, further comprising:
the network data sending unit is used for sending the physical sign state data and the sleep environment data to an Internet side;
the network data acquisition unit is further configured to acquire the user sleep model from the internet side.
3. The sleep environment adjustment apparatus as claimed in claim 2, wherein:
the network data sending unit is further configured to send the user sleep model obtained by the sleep data processing unit to the internet side for storage.
4. The sleep environment adjustment apparatus as claimed in claim 2, wherein:
the sleep data receiving unit is also used for receiving the physical sign state data of each user when a plurality of users sleep in the same environment;
the sleep data processing unit is further configured to combine the user sleep models of the multiple users to form a multi-user sleep model, and determine the sleep environment control parameters of the same environment where the multiple users are located by determining the physical sign state data of each user when the multiple users sleep in the same environment at the same time by using the multi-user sleep model.
5. The sleep environment adjustment apparatus as claimed in claim 4, further comprising:
and the storage unit is used for storing the user sleep model, the physical sign state data, the sleep environment data and the sleep environment control parameters.
6. The sleep environment adjustment apparatus as claimed in claim 1, further comprising:
a sleep statistic data sending unit, configured to send the physical sign state data, the sleep depth information, the sleep environment data, and the sleep environment control parameter of the user during sleep to a data display device.
7. A sleep environment modification system, comprising:
the sleep environment adjusting apparatus as set forth in any one of claims 1 to 6;
the sleep monitoring device is used for monitoring physical sign state data of the user during sleeping and sleep environment data of the environment where the user is located during sleeping and sending the physical sign state data and the sleep environment data to the sleep environment adjusting device;
the IoT equipment is used for receiving the sleep environment control parameters from the sleep monitoring device and adjusting the environmental state of the user during sleep according to the sleep environment control parameters; wherein the content of the first and second substances,
the sleep environment adjusting device is configured to determine the sleep environment control parameter according to the physical sign state data of the user during sleep and the sleep environment data of the environment where the user is located during sleep, and send the sleep environment control parameter to the IoT device.
8. The sleep environment conditioning system according to claim 7, further comprising:
and the network data server is positioned on the Internet side and used for storing the public sleep data model and the user sleep model, receiving the physical sign state data and the sleep environment data from the sleep environment adjusting device and performing artificial intelligence training on the public sleep data model by using the physical sign state data and the sleep environment data so as to obtain the user sleep model.
9. The sleep environment conditioning system of claim 8, wherein:
the network data server is also used for combining the user sleep models of a plurality of users sleeping simultaneously in the same environment to form a multi-user sleep model and sending the multi-user sleep model to the sleep environment adjusting device.
10. The sleep environment conditioning system of claim 7, wherein the sleep monitoring device comprises:
a wearable device worn on the user, an environmental sensor and a sound receiver in an environment in which the user is asleep.
11. The sleep environment conditioning system of claim 10, wherein the environmental sensor comprises:
body temperature sensor, pulse sensor, pressure sensor, ambient temperature sensor, ambient humidity sensor, oxygen content sensor, PM2.5 sensor.
12. The sleep environment conditioning system of claim 7, wherein the IoT device comprises:
intelligence lamps and lanterns, intelligent (window) curtain, intelligent TV, intelligent audio amplifier, intelligent air conditioner, intelligent humidifier, intelligent air purifier, intelligent negative oxygen ion generator.
13. The sleep environment conditioning system according to claim 7, further comprising:
the data display device is used for receiving and displaying the physical sign state data, the sleep depth information, the sleep environment data and the sleep environment control parameters when the user sleeps from the sleep environment adjusting device.
14. The sleep environment adjustment system of claim 13, wherein the data display device comprises:
the intelligent refrigerator comprises a smart phone screen, a tablet computer screen, a display, an intelligent television, a display screen of the intelligent refrigerator with the display screen, and a projector.
15. A sleep environment adjustment method, comprising:
receiving physical sign state data of a user during sleeping and sleeping environment data of an environment where the user is located during sleeping;
judging the physical sign state data of the user during sleeping by utilizing a user sleep model to obtain the sleep depth information of the user, and determining a sleep environment control parameter according to the sleep depth information of the user and the sleep environment data;
sending the sleep environment control parameters to IoT equipment in the environment where the user is in sleep so as to adjust the environment state where the user is in sleep;
the method further comprises the following steps:
acquiring a public sleep data model from the Internet side;
and carrying out artificial intelligence training on the public sleep data model by using the physical sign state data and the sleep environment data to obtain the user sleep model.
16. The sleep environment adjustment method as claimed in claim 15, further comprising:
combining user sleep models of a plurality of users who sleep in the same environment at the same time to form a multi-user sleep model;
and determining sleep environment control parameters of the same environment where the plurality of users are located by judging the physical sign state data of the users when the plurality of users sleep in the same environment simultaneously by using the multi-user sleep model.
17. The sleep environment adjustment method as claimed in claim 15 or 16, wherein: the environment state comprises environment brightness, sound, temperature, humidity, purification degree and negative oxygen ion concentration.
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| CN201810938728.7A CN109032223B (en) | 2018-08-17 | 2018-08-17 | Sleep environment adjusting device, system and method |
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| CN201810938728.7A CN109032223B (en) | 2018-08-17 | 2018-08-17 | Sleep environment adjusting device, system and method |
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