CN113641114A - Environment control method and system for intelligent getting-up scene - Google Patents

Environment control method and system for intelligent getting-up scene Download PDF

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Publication number
CN113641114A
CN113641114A CN202010345787.0A CN202010345787A CN113641114A CN 113641114 A CN113641114 A CN 113641114A CN 202010345787 A CN202010345787 A CN 202010345787A CN 113641114 A CN113641114 A CN 113641114A
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environment
target
scene
detection data
target environment
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艾长滨
刘维兵
汤丹
刘洋
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Qingdao Haier Air Conditioner Gen Corp Ltd
Haier Smart Home Co Ltd
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Qingdao Haier Air Conditioner Gen Corp Ltd
Haier Smart Home Co Ltd
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Priority to CN202010345787.0A priority Critical patent/CN113641114A/en
Publication of CN113641114A publication Critical patent/CN113641114A/en
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4815—Sleep quality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • G—PHYSICS
    • G04—HOROLOGY
    • G04B—MECHANICALLY-DRIVEN CLOCKS OR WATCHES; MECHANICAL PARTS OF CLOCKS OR WATCHES IN GENERAL; TIME PIECES USING THE POSITION OF THE SUN, MOON OR STARS
    • G04B23/00—Arrangements producing acoustic signals at preselected times
    • G04B23/02—Alarm clocks
    • G04B23/021—Controls (winding up the alarm; adjusting and indicating the waking time)
    • G—PHYSICS
    • G04—HOROLOGY
    • G04B—MECHANICALLY-DRIVEN CLOCKS OR WATCHES; MECHANICAL PARTS OF CLOCKS OR WATCHES IN GENERAL; TIME PIECES USING THE POSITION OF THE SUN, MOON OR STARS
    • G04B23/00—Arrangements producing acoustic signals at preselected times
    • G04B23/02—Alarm clocks
    • G04B23/028—Sounding bodies; boxes used as sounding cases; fixation on or in the case
    • G—PHYSICS
    • G04—HOROLOGY
    • G04B—MECHANICALLY-DRIVEN CLOCKS OR WATCHES; MECHANICAL PARTS OF CLOCKS OR WATCHES IN GENERAL; TIME PIECES USING THE POSITION OF THE SUN, MOON OR STARS
    • G04B23/00—Arrangements producing acoustic signals at preselected times
    • G04B23/02—Alarm clocks
    • G04B23/03—Alarm signal stop arrangements
    • G—PHYSICS
    • G04—HOROLOGY
    • G04B—MECHANICALLY-DRIVEN CLOCKS OR WATCHES; MECHANICAL PARTS OF CLOCKS OR WATCHES IN GENERAL; TIME PIECES USING THE POSITION OF THE SUN, MOON OR STARS
    • G04B25/00—Indicating the time by other means or by combined means
    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G13/00—Producing acoustic time signals
    • G04G13/02—Producing acoustic time signals at preselected times, e.g. alarm clocks
    • G—PHYSICS
    • G04—HOROLOGY
    • G04G—ELECTRONIC TIME-PIECES
    • G04G15/00—Time-pieces comprising means to be operated at preselected times or after preselected time intervals
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
    • H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
    • A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
    • A61M2021/0083—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus especially for waking up
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house

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Abstract

The invention provides an environment control method and system of an intelligent getting-up scene. Based on the method provided by the invention, after the first detection data of the target environment are judged to accord with the preset scene trigger condition, the intelligent getting-up scene can be started and the getting-up atmosphere is created for the target user, so that the getting-up awakening of the target user is automatically realized, and the user experience is effectively improved.

Description

Environment control method and system for intelligent getting-up scene
Technical Field
The invention relates to the technical field of intelligent families, in particular to an environment control method and system for an intelligent getting-up scene.
Background
1/3 of a person's lifetime spent in sleep, many people find insufficient sleep and are difficult to get up in the morning. This state of affairs not only is the reason for the quality of sleep, but the way of getting up is also greatly affected.
Under the general condition, generally can set up the alarm clock when getting up the difficulty, but according to individual difference, someone has decided the alarm clock and will worry that the alarm clock does not make or the alarm clock also makes a sound for a long time, influences sleep more, is in the deep sleep state exactly in addition, is awaken by the alarm clock suddenly, can influence whole people's state, and to the environment when getting up such as temperature humidity, air quality etc. all can lead to the fact the influence to daytime work life state.
Disclosure of Invention
An object of the present invention is to provide a control method for an intelligent getting-up scene.
A further object of the present invention is to improve user comfort while meeting user needs.
Particularly, the invention provides an environment control method for an intelligent getting-up scene, which comprises the following steps:
acquiring a getting-up awakening curve of a target user; the waking up curve comprises at least one waking up stage, and the time point, the duration and the target environment parameters of the waking up stage;
acquiring first detection data of a target environment, and judging whether the first detection data meet a preset scene trigger condition;
and if the first detection data are judged to accord with the preset scene trigger conditions, setting the control scene of the target environment as an intelligent getting-up scene, and controlling the environment adjusting equipment in the target environment to operate according to the target environment parameters of each awakening stage.
Optionally, the obtaining of the waking up curve of the target user comprises:
acquiring a first voice signal in a target environment in advance;
when a preset waking up instruction is recognized in the first voice signal, behavior characteristic data of a target user in a specified time period and corresponding environment characteristic data are obtained;
and setting a waking-up curve of the target user according to the first voice signal, the behavior characteristic data and the corresponding environment characteristic data.
Optionally, the setting of the wake-up curve of the target user according to the first voice signal and the behavior feature data includes:
determining the number of awakening stages included in an awakening curve of a target user when getting up and the duration of each awakening stage according to the behavior characteristic data, and setting target environment parameters of each awakening stage according to environment characteristic data corresponding to the behavior characteristic data;
and identifying time information contained in the first voice signal, and setting time points of all awakening stages according to the time information.
Optionally, the obtaining first detection data of the target environment, and determining whether the first detection data meets a preset scene trigger condition includes:
and acquiring the time of the geographical position of the target environment, and judging whether the time reaches the preset time.
Optionally, after controlling the environment adjusting device in the target environment to operate according to the target environment parameters of each wake-up phase, the method further includes:
acquiring physiological characteristic data of a target user;
adjusting a wake-up curve based on the physiological characteristic data.
Optionally, after controlling the environment adjusting device in the target environment to operate according to the target environment parameters of each wake-up phase, the method further includes:
acquiring sleep characteristic data of a target user;
inputting sleep characteristic data into a pre-trained sleep quality evaluation model;
and evaluating the sleep quality of the target user based on the sleep characteristic data by using a sleep quality evaluation model, and adjusting the getting-up awakening curve according to an evaluation result.
Optionally, after controlling the environment adjusting device in the target environment to operate according to the target environment parameters of each wake-up phase, the method further includes:
acquiring second detection data of the target environment, and judging whether the second detection data meet a preset scene ending condition;
and if the second detection data are judged to accord with the preset scene ending conditions, controlling the target environment to exit the intelligent getting-up scene.
Optionally, the obtaining second detection data of the target environment, and determining whether the second detection data meets a preset scene ending condition includes:
acquiring a second voice signal in the target environment;
and judging whether the second voice signal comprises a preset waking success instruction or not.
Optionally, the obtaining second detection data of the target environment, and determining whether the second detection data meets a preset scene ending condition includes:
acquiring environment detection data of a target environment;
and judging whether the environment detection data meet a preset scene ending condition.
According to another aspect of the present invention, there is also provided an environment control system for an intelligent getting-up scenario, comprising:
one or more environment adjusting devices for being disposed in the sleep environment, each environment adjusting device for adjusting one or more environmental parameters of the sleep environment; and
an environmental conditioning controller, comprising: the intelligent getting-up environment control system comprises a processor and a memory, wherein a control program is stored in the memory, and the control program is used for realizing the environment control method of the intelligent getting-up scene according to any one of the above items when being executed by the processor.
The invention provides an environment control method and system of an intelligent getting-up scene. Based on the method provided by the invention, after the first detection data of the target environment are judged to accord with the preset scene trigger condition, the intelligent getting-up scene can be started and the getting-up atmosphere is created for the target user, so that the getting-up awakening of the target user is automatically realized, and the user experience is effectively improved.
Furthermore, the method provided by the invention can also adjust the waking curve according to the physiological characteristic information, the sleep quality and other data of the target user, so that the target user wakes up in a more comfortable environment.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a schematic flow diagram of an environment control method for an intelligent wake-up scenario, according to an embodiment of the invention;
FIG. 2 is a schematic architecture diagram of an environmental control system for a smart wake up scenario, according to an embodiment of the present invention;
FIG. 3 is a schematic block diagram of an environmental conditioning controller according to an embodiment of the present invention.
Detailed Description
An embodiment of the present invention provides an environment control method for an intelligent getting-up scene, and referring to fig. 1, the environment control method for the intelligent getting-up scene provided in this embodiment may include:
step S102, acquiring a waking-up curve of a target user; the waking up curve comprises at least one waking up stage, and the time point, the duration and the target environment parameters of the waking up stage;
step S104, acquiring first detection data of a target environment, and judging whether the first detection data meets a preset scene trigger condition;
and S106, if the first detection data are judged to accord with the preset scene trigger conditions, setting the control scene of the target environment as an intelligent getting-up scene, and controlling the environment adjusting equipment in the target environment to operate according to the target environment parameters of each awakening stage.
The embodiment of the invention provides an environment control method of an intelligent getting-up scene. Based on the method provided by the embodiment of the invention, after the first detection data of the target environment are judged to meet the preset scene trigger condition, the intelligent getting-up scene can be started and the getting-up atmosphere is created for the target user, so that the getting-up awakening of the target user is automatically realized, and the user experience is effectively improved. The intelligent getting-up scene mentioned in this embodiment is a scene mode that can link the environment adjusting device in the target environment to wake up the target user and create a getting-up atmosphere for the user.
In step S102, a wake-up curve of the target user needs to be obtained, where the wake-up curve may include at least one wake-up phase, and a time point, a duration and a target environmental parameter of the wake-up phase. Optionally, when the waking-up curve of the target user is obtained, the first voice signal in the target environment may be obtained in advance; when a preset waking up instruction is recognized in the first voice signal, behavior characteristic data of a target user in a specified time period and corresponding environment characteristic data are obtained; and setting a waking-up curve of the target user according to the first voice signal, the behavior characteristic data and the corresponding environment characteristic data.
That is to say, the wake-up curve of the target user in the embodiment of the present invention is obtained in advance based on the first voice signal in the target environment, for example, the target user sends out the voice signal through the pair before sleeping. Further, a preset wake-up instruction, such as "call me to get up at seven tomorrow" or another type of wake-up instruction, may be recognized in the voice signal, so as to obtain behavior characteristic data of the target user in a specified time period and corresponding environment characteristic data to set a wake-up curve. The specified time period may be a time period of the target user in a historical intelligent getting-up scene, such as a time period from seven to nine morning of each day in the past week, or other time periods, which is not limited in the present invention.
In the above embodiment, it is mentioned that the wake-up curve of the target user may be set according to the first voice signal, the behavior feature data and the corresponding environment feature data, and optionally, the number of wake-up stages included in the wake-up curve of the target user and the duration of each wake-up stage may be determined according to the behavior feature data, and the target environment parameter of each wake-up stage may be set according to the environment feature data corresponding to the behavior feature data; and then recognizing the time information contained in the first voice signal, and setting the time point of each awakening stage according to the time information.
In practical applications, the behavior feature data of the target user may include some list of different types of behavior activities from waking up from a sleep state to getting up, such as listening to music, listening to news broadcasts, etc., and time points, sequences, durations, preference data, etc. when performing the behavior activities. After the behavior feature data is acquired, behavior habits of the target user from waking to getting up can be identified, so that the number and duration of waking stages included in a waking curve of the target user are set. In addition, when the behavior characteristic data of the user is acquired, the corresponding environment characteristic data is also acquired at the same time, so that the target environment parameters of each awakening stage can be set according to the environment characteristic data. The target environmental parameters may include parameters of different environmental dimensions such as ambient temperature, ambient humidity, air quality, taste, light, etc.
In general, the target user may carry time information when sending a voice signal, for example, "call me to get up in the morning at seven points" in the morning, and the time information included in the voice signal is "seven points in the morning", so that the time point of each wake-up phase may be set by the time information. On the other hand, assuming that the voice signal sent by the target user does not carry time information, the habit of the user can be identified according to the acquired behavior feature data of the user, so as to set the time point of each awakening stage according to the habit of the user.
In step S104, after the first detection data of the target environment is obtained, it is determined whether the first detection data meets a preset scene trigger condition, and optionally, the time of the geographical location of the target environment may be obtained, and it is determined whether the time reaches a preset time. The preset time mentioned in the embodiment of the present invention may be a preset time point, for example, the preset time point may be the start time of a first wake-up stage set in a wake-up curve, and when it is detected that the start time of the first wake-up stage is reached, it indicates that a preset scene trigger condition is met, at this time, a control scene of a target environment may be set as an intelligent wake-up scene, so as to control an environment adjusting device in the target environment to operate according to target environment parameters of each wake-up stage.
Furthermore, after the environment adjusting equipment is controlled to operate according to the target environment parameters of each awakening stage, physiological characteristic data of a target user can be acquired; adjusting a wake-up curve based on the physiological characteristic data. That is to say, when the target environment is in the intelligent getting-up scene, the physiological characteristic data of the target user can be acquired in real time or at certain intervals, and the physiological characteristics of the user, such as body surface temperature, heart rate and other physiological characteristics of the target user, can be known in time, and then the target environment parameters can be adjusted in time according to the physiological characteristics of the target user, so that the current scene of the target environment better meets the self requirements of the target user.
In another optional embodiment of the present invention, the target environmental parameter in the smart wake-up scenario may also be adjusted according to the sleep state of the target user in the evening before. That is, after the environment adjusting device in the target environment is controlled to operate according to the target environment parameters of each wake-up stage in step S106, the sleep characteristic data of the target user may also be acquired; inputting sleep characteristic data into a pre-trained sleep quality evaluation model; and evaluating the sleep quality of the target user based on the sleep characteristic data by using a sleep quality evaluation model, and adjusting the getting-up awakening curve according to an evaluation result.
The sleep characteristic data in this embodiment may be sleep characteristic data generated at a specified sleep time, such as turn-over frequency, deep sleep time, number of times of night, and the like, and the sleep quality of the target user may be effectively determined by inputting the acquired sleep characteristic data into a pre-trained sleep instruction evaluation model, so as to adjust the target environment parameters of each wake-up stage according to the sleep quality of the user. The evaluation result of the sleep quality may be classified into a plurality of grades, for example, from one grade to four grades represent good, general, and poor, respectively. If the evaluation result of the sleep quality of the user is excellent or good, the user can operate according to the target environment parameters of each sleep stage in the acquired wake-up curve, and if the evaluation result of the sleep quality of the target user is poor, the time point, the duration, the target environment parameters and the like of the sleep stages can be properly adjusted, so that the target user wakes up in a more comfortable environment. In addition, since the training method of the artificial intelligence classification model, the data labeling method, and the specific process and algorithm for data processing using the classification model are well known to those skilled in the art, they are not described in detail in this embodiment.
In some cases, the intelligent getting-up scene may need to be exited when the getting-up wake-up curve is not finished, and at this time, second detection data of the target environment may be acquired, and whether the second detection data meets a preset scene end condition or not is judged; and if the second detection data are judged to accord with the preset scene ending conditions, controlling the target environment to exit the intelligent getting-up scene. The method provided by the embodiment of the invention can automatically control the target environment to enter the intelligent getting-up scene and automatically quit the intelligent getting-up scene, can realize the opening and closing of the scene without manual triggering of a user, and meets the real-time requirements of the user.
In an optional embodiment of the present invention, the obtaining second detection data of the target environment, and determining whether the second detection data meets a preset scene ending condition may include: acquiring a second voice signal in the target environment; and judging whether the second voice signal comprises a preset waking success instruction or not.
For example, after the control target environment enters an intelligent getting-up scene, the relaxing music sounds, the atmosphere lamps are slowly lighted to be close to the natural brightness, the curtain cloth is slowly opened to gradually awaken sleepiness, the air conditioner enters an automatic mode, and the purifier and the fresh air fan are started to the automatic mode; when drowsiness slowly subsides, indoor humiture and air have been adjusted to better state, assume that the second voice signal who acquires in the target environment is "little excellent, i get up", wherein has contained preset getting up and awakening up success instruction, can control light and close this moment, and the air conditioner is closed, and the (window) curtain gauze is opened, and the process of whole getting up is more pleasant, can bring the good mood of one day for the target user.
In another embodiment of the present invention, the obtaining second detection data of the target environment, and determining whether the second detection data meets a preset scene ending condition may further include: acquiring environment detection data of a target environment; and judging whether the environment detection data meet a preset scene ending condition. The environmental detection data in this embodiment may be noise data, light intensity data, or other data in the target environment. For example, a user can detect noise data in the target environment after opening a television and opening audio-video equipment, and at the moment, whether the environment detection data meet the preset scene ending condition or not can be judged, and the target environment is controlled to exit from the intelligent getting-up scene. The preset scene ending condition mentioned in the above embodiment may be set according to different environment attributes or different requirements, which is not limited in the present invention.
Based on the same inventive concept, the embodiment of the invention also provides an environment control system for an intelligent getting-up scene, which comprises: one or more environmental conditioning devices and an environmental conditioning controller.
One or more environment-adjusting devices 200 are provided for deployment in the target environment, each environment-adjusting device being configured to adjust one or more environmental parameters of the target environment. The environment adjusting device 200 may include various devices installed in a target environment (e.g., a bedroom) for adjusting one or more environmental conditions, including but not limited to household appliances (e.g., an air conditioner, a humidifier, a fan, a fresh air device, an aromatherapy device, a video player, a scene light, a purifier, a heater, etc.) for adjusting the environment, bedding devices (e.g., a smart mat, a smart quilt, a smart bed, a smart chair, etc.), and other devices (e.g., a smart curtain, a smart window) capable of being controlled and adjusted. In this embodiment, the environmental parameters that can be adjusted include: temperature and humidity, and may further optionally include: wind speed, wind direction, air quality (particulate matter, carbon dioxide, ozone, formaldehyde, etc.), smell, volume, light, etc. The scheme of the embodiment can be used for realizing the optimization of the indoor environment in multiple dimensions of temperature, humidity, purity, oxygen, wind, silence and taste.
The environment adjusting controller 100 is in data connection with the environment adjusting device 200, and may be configured with network side devices such as a server and a cloud, acquire various data of the target environment through a network, and implement adjustment of the target environment by sending a command to the environment adjusting device 200 remotely. The environment conditioning controller 100 may also be various types of centralized control devices, arranged in the target environment, and controlling the environment conditioning device 200. The data connection between the environment adjusting controller 100 and the environment adjusting device 200 includes, but is not limited to, wireless transmission, infrared transmission, ultrasonic transmission, etc. In some embodiments, the environmental conditioning controller 100 may also be a part of the environmental conditioning apparatus 200, disposed in the environmental conditioning apparatus 200, and in data connection with the controller of the environmental conditioning apparatus 200, for example, the environmental conditioning apparatus 200 is internally provided with a dedicated environmental conditioning controller 100, and works with a controller dedicated to performing component control.
Fig. 3 is a schematic block diagram of the climate conditioning controller 100 according to one embodiment of the present invention, the climate conditioning controller 100 may include generally may include: a memory 120 and a processor 110, wherein a computer program 121 is stored in the memory 120, and the computer program 121 is used for implementing the environment control method of the intelligent getting-up scenario of the embodiment when being executed by the processor 110. The processor 110 may be a Central Processing Unit (CPU), a digital processing unit, or the like. The processor 110 transceives data through the communication interface. The memory 120 is used to store programs executed by the processor 110. The memory 120 is any medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, or a combination of multiple memories 120. The control program may be downloaded from a computer-readable storage medium to a corresponding computing/processing device or downloaded and installed to the environment conditioning controller 100 via a network (e.g., the internet, a local area network, a wide area network, and/or a wireless network).
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.

Claims (10)

1. An environment control method for an intelligent getting-up scene comprises the following steps:
acquiring a getting-up awakening curve of a target user; the waking up curve comprises at least one waking up stage, and the time point, the duration and the target environment parameters of the waking up stage;
acquiring first detection data of a target environment, and judging whether the first detection data meet a preset scene trigger condition;
and if the first detection data are judged to accord with the preset scene trigger conditions, setting the control scene of the target environment as an intelligent getting-up scene, and controlling the environment adjusting equipment in the target environment to operate according to the target environment parameters of each awakening stage.
2. The method of claim 1, wherein obtaining a wake-up curve for a target user comprises:
acquiring a first voice signal in the target environment in advance;
when a preset waking up instruction is recognized in the first voice signal, acquiring behavior characteristic data of the target user in a specified time period and corresponding environment characteristic data;
and setting a waking curve of the target user when getting up according to the first voice signal, the behavior characteristic data and the corresponding environment characteristic data.
3. The method of claim 2, wherein setting a wake-up curve of the target user according to the first voice signal and the behavioral characteristic data comprises:
determining the number of awakening stages included in the getting-up awakening curve of the target user and the duration of each awakening stage according to the behavior characteristic data, and setting target environment parameters of each awakening stage according to environment characteristic data corresponding to the behavior characteristic data;
and identifying time information contained in the first voice signal, and setting the time point of each awakening stage according to the time information.
4. The method of claim 1, wherein obtaining first detection data of a target environment and determining whether the first detection data meets a preset scenario trigger condition comprises:
and acquiring the time of the geographical position of the target environment, and judging whether the time reaches the preset time.
5. The method of claim 1, wherein controlling the environment adjusting device in the target environment to operate according to the target environment parameters of each of the wake-up phases further comprises:
acquiring physiological characteristic data of the target user;
adjusting the wake-up curve based on the physiological characteristic data.
6. The method of claim 1, wherein controlling the environment adjusting device in the target environment to operate according to the target environment parameters of each of the wake-up phases further comprises:
acquiring sleep characteristic data of the target user;
inputting the sleep characteristic data into a pre-trained sleep quality evaluation model;
and evaluating the sleep quality of the target user based on the sleep characteristic data by using the sleep quality evaluation model, and adjusting the waking-up curve according to an evaluation result.
7. The method of claim 1, wherein controlling the environment adjusting device in the target environment to operate according to the target environment parameters of each of the wake-up phases further comprises:
acquiring second detection data of the target environment, and judging whether the second detection data meet a preset scene ending condition;
and if the second detection data are judged to accord with the preset scene ending conditions, controlling the target environment to exit the intelligent getting-up scene.
8. The method of claim 7, wherein obtaining second detection data of the target environment and determining whether the second detection data meets a preset scene end condition comprises:
acquiring a second voice signal in the target environment;
and judging whether the second voice signal comprises a preset waking success instruction or not.
9. The method of claim 7, wherein obtaining second detection data of the target environment and determining whether the second detection data meets a preset scene end condition comprises:
acquiring environment detection data of the target environment;
and judging whether the environment detection data meet a preset scene ending condition.
10. An environmental control system for an intelligent wake-up scenario, comprising:
one or more environment adjusting devices for placement in the sleep environment, each of the environment adjusting devices for adjusting one or more environmental parameters of the sleep environment; and
an environmental conditioning controller, comprising: a processor and a memory, the memory having stored therein a control program for implementing the environmental control method of the smart wake-up scenario of any of claims 1 to 9 when executed by the processor.
CN202010345787.0A 2020-04-27 2020-04-27 Environment control method and system for intelligent getting-up scene Pending CN113641114A (en)

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