CN113679926A - Automatic sleep aiding method based on indoor noise, intelligent electronic equipment and storage medium - Google Patents
Automatic sleep aiding method based on indoor noise, intelligent electronic equipment and storage medium Download PDFInfo
- Publication number
- CN113679926A CN113679926A CN202111007931.0A CN202111007931A CN113679926A CN 113679926 A CN113679926 A CN 113679926A CN 202111007931 A CN202111007931 A CN 202111007931A CN 113679926 A CN113679926 A CN 113679926A
- Authority
- CN
- China
- Prior art keywords
- preset
- noise
- value
- duration
- detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000001514 detection method Methods 0.000 claims abstract description 146
- 230000015654 memory Effects 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 12
- 230000005059 dormancy Effects 0.000 claims 2
- 238000004891 communication Methods 0.000 description 7
- 238000010276 construction Methods 0.000 description 4
- 230000003860 sleep quality Effects 0.000 description 4
- 238000012935 Averaging Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- 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
- A61M21/02—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 for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/71—Power-operated mechanisms for wings with automatic actuation responsive to temperature changes, rain, wind or noise
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Anesthesiology (AREA)
- Pain & Pain Management (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Psychology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Hematology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Power-Operated Mechanisms For Wings (AREA)
Abstract
The invention discloses an automatic sleep-aiding method based on indoor noise, a terminal device and a storage medium, wherein the automatic sleep-aiding method based on the indoor noise is applied to intelligent electronic equipment, the intelligent electronic equipment is at least used for controlling an intelligent door and window to be opened or closed, and the automatic sleep-aiding method based on the indoor noise comprises the following steps: when the intelligent door and window is in an open state, detecting a first average noise value of the current indoor environment within a first preset detection duration at intervals of a first preset time interval; judging whether a first continuous detection frequency of the first average noise value which is continuously and repeatedly larger than a first preset noise threshold value is equal to a first preset frequency or not; if the first continuous detection times that the first average noise value is continuously larger than the first preset noise threshold value for multiple times are equal to the first preset times, the intelligent door and window is controlled to be closed so as to isolate outdoor noise. The invention discloses an automatic sleep-aiding method based on indoor noise, which aims to enable a user to conveniently and effectively resist outdoor noise.
Description
Technical Field
The invention belongs to the technical field of intelligent home furnishing, and particularly relates to an automatic sleep-aiding method based on indoor noise, intelligent electronic equipment and a storage medium.
Background
With the development of urban construction, construction at night is a common phenomenon, and construction noise in sleep periods can seriously affect the sleep quality of people.
When construction noise affects sleep, the traditional solution can only actively close the door and window. People have poor visual field conditions and are not conscious in the sleeping period at night, and particularly, the people have great inconvenience in getting up and closing doors and windows under the condition of cold weather in winter.
Therefore, how to make users able to conveniently and effectively resist outdoor noise is a technical problem that those skilled in the art need to solve.
Disclosure of Invention
In order to overcome the above-mentioned disadvantages of the prior art, an object of the present invention is to provide an automatic sleep-aiding method based on indoor noise, which is intended to enable a user to conveniently and effectively resist outdoor noise.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an automatic sleep-aiding method based on indoor noise is applied to intelligent electronic equipment, the intelligent electronic equipment is at least used for controlling an intelligent door and window to be opened or closed, and the automatic sleep-aiding method based on the indoor noise comprises the following steps:
when the intelligent door and window is in an open state, detecting a first average noise value of the current indoor environment within a first preset detection duration at intervals of a first preset time interval;
judging whether a first continuous detection frequency of the first average noise value which is continuously and repeatedly larger than a first preset noise threshold value is equal to a first preset frequency or not;
and if the first continuous detection times that the first average noise value is continuously greater than the first preset noise threshold value for multiple times are equal to the first preset times, controlling the intelligent door and window to be closed so as to isolate outdoor noise.
Further, after the step of controlling the smart door window to close, the method further includes:
after the intelligent door and window is closed, detecting a second average noise value of the current indoor environment within a second preset detection time length at intervals of a second preset time interval;
judging whether a second continuous detection frequency of the second average noise value which is continuously larger than a second preset noise threshold for multiple times is equal to a second preset frequency or not;
and if the second continuous detection times of the second average noise value which is continuously and repeatedly greater than the second preset noise threshold value are equal to the second preset times, playing preset sleep-aid audio.
Further, after the step of detecting a second average noise value of the current indoor environment within a second preset detection time length every a second preset time after the smart door or window is closed, the method further includes:
judging whether a first duration of the second average noise value which is not more than the second preset noise threshold value continuously reaches a first preset duration or not;
and if the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously reaches the first preset duration, controlling the intelligent door and window to be opened.
Further, after the step of determining whether the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously reaches the first preset duration, the method further includes:
and if the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously does not reach the first preset duration, keeping the intelligent door and window closed.
Further, after the step of playing the preset sleep-aid audio, the method further comprises:
after the sleep-aiding audio is played, detecting a third average noise value of the current indoor environment within a third preset detection duration at intervals of a third preset time interval; wherein, in the process of detecting the third average noise value of the current indoor environment within the third preset detection duration, the sleep-assisting audio is in a pause state;
judging whether the third average noise value is larger than a third preset noise threshold value or not;
if the third average noise value is not greater than the third preset noise threshold, judging whether a second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches a second preset duration;
and if the second duration of the third average noise value is not continuously greater than the third preset noise threshold value and reaches the second preset duration, controlling the sleep-assisting audio to stop and/or controlling the intelligent door and window to open.
Further, after the step of determining whether the third average noise value is greater than a third preset noise threshold, the method further includes:
if the third average noise value is larger than the third preset noise threshold value, the sleep-aiding audio is played;
if the third average noise value is not greater than the third preset noise threshold, judging whether the second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches the second preset duration;
and if the second duration of the third average noise value which is not greater than the third preset noise threshold value continuously does not reach the second preset duration, playing the sleep-aid audio.
Further, when the smart door or window is in an open state, the step of detecting the first average noise value of the current indoor environment within the first preset detection duration at intervals of a first preset time interval includes:
when the intelligent door and window is in an open state, resetting the numerical value of a preset first counter to zero, carrying out noise detection on the current indoor environment at intervals of a first preset time interval, wherein the detection time for carrying out the noise detection each time is the first preset detection time;
calculating the first average noise value of the current indoor environment within the first preset detection duration, and judging whether the first average noise value is greater than the first preset noise threshold value;
if the first average noise value is larger than the first preset noise threshold value, controlling the numerical value of the first counter to be increased by one;
and if the first average noise value is not greater than the first preset noise threshold value, controlling the numerical value of the first counter to be reset to zero.
Further, after the smart door/window is closed, the step of detecting a second average noise value of the current indoor environment within a second preset detection duration at intervals of a second preset time interval includes:
after the intelligent door and window is closed, resetting the numerical value of a preset second counter to be zero, carrying out noise detection on the current indoor environment at intervals of a second preset time interval, wherein the detection time for carrying out the noise detection each time is the second preset detection time;
calculating the second average noise value of the current indoor environment within the second preset detection duration, and judging whether the second average noise value is greater than the second preset noise threshold value;
if the second average noise value is larger than the second preset noise threshold value, controlling the numerical value of the second counter to be increased by one;
and if the second average noise value is not greater than the second preset noise threshold value, controlling the numerical value of the second counter to be reset to zero.
Correspondingly, the present invention also proposes an intelligent electronic device, which includes a memory, a processor and an automatic sleep-assisting program stored in the memory and operable on the processor, wherein the automatic sleep-assisting program is configured to implement the steps of the automatic sleep-assisting method based on indoor noise as described above.
Correspondingly, the present invention further provides a storage medium, wherein the storage medium stores an automatic sleep-assisting program, and the automatic sleep-assisting program implements the steps of the automatic sleep-assisting method based on indoor noise when executed by a processor.
Compared with the prior art, the invention has the beneficial effects that:
according to the automatic sleep-aiding method based on the indoor noise, the first average noise value of the current indoor environment within the first preset detection duration is detected every other first preset time interval, and when the first continuous detection times that the first average noise value is continuously and repeatedly larger than the first preset noise threshold value are equal to the first preset times, the intelligent door and window are controlled to be automatically closed, so that a user in a sleep state can be conveniently and effectively helped to resist outdoor noise, the noise of the indoor environment is reduced by an intelligent means, and the automatic sleep-aiding method is more suitable for sleep.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating a first embodiment of an automatic sleep-aiding method based on indoor noise;
FIG. 2 is a flow chart illustrating a second embodiment of an automatic sleep-aiding method based on indoor noise;
FIG. 3 is a flow chart illustrating a third embodiment of an automatic sleep-aiding method based on indoor noise;
FIG. 4 is a schematic flow chart illustrating a method for automatically assisting sleep based on indoor noise according to a fourth embodiment of the present invention;
FIG. 5 is a flow chart illustrating a fifth embodiment of an automatic sleep-aiding method based on indoor noise according to the present invention;
FIG. 6 is a flow chart illustrating a method for automatically assisting sleep based on indoor noise according to a sixth embodiment of the present invention;
FIG. 7 is a flow chart illustrating a seventh embodiment of an automatic sleep-aiding method based on indoor noise according to the present invention;
fig. 8 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 8, fig. 8 is a schematic structural diagram of an intelligent electronic device in a hardware operating environment according to an embodiment of the present invention.
The intelligent electronic device of the embodiment can be an intelligent electronic device with a storage function, such as an intelligent television, a mobile phone, a tablet computer, and the like.
As shown in fig. 8, the intelligent electronic device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may comprise a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also comprise a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the intelligent electronic device illustrated in fig. 8 does not constitute a limitation of the intelligent electronic device and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components.
As shown in fig. 8, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an automatic sleep-assisting program.
In the intelligent electronic device shown in fig. 8, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 mainly includes an input unit such as a keyboard including a wireless keyboard and a wired keyboard, and is used to connect to the client and perform data communication with the client; and the processor 1001 may be configured to call the automatic sleep-assisting program stored in the memory 1005 and perform the operations of the automatic sleep-assisting method based on the indoor noise in any of the embodiments described below.
Based on the hardware structure, the embodiment of the automatic sleep-aiding method based on the indoor noise is provided.
Referring to fig. 1, an embodiment of the present invention provides an automatic sleep-assisting method based on indoor noise, which is applied to an intelligent electronic device, where the intelligent electronic device is at least used to control an intelligent door or window to open or close, and the automatic sleep-assisting method based on indoor noise includes the following steps:
when the intelligent door and window is in an open state, detecting a first average noise value of the current indoor environment within a first preset detection duration at intervals of a first preset time interval;
judging whether a first continuous detection frequency of the first average noise value which is continuously and repeatedly larger than a first preset noise threshold value is equal to a first preset frequency or not;
if the first continuous detection times that the first average noise value is continuously larger than the first preset noise threshold value for multiple times are equal to the first preset times, the intelligent door and window is controlled to be closed so as to isolate outdoor noise.
In the implementation process of this embodiment, a timer may be set to trigger the intelligent electronic device to perform corresponding operations at various time points. In this embodiment, a first timer may be provided, and based on the first timer, each step in this embodiment is described in detail below:
s1, when the intelligent door and window is in an open state, detecting a first average noise value of the current indoor environment within a first preset detection duration at intervals of a first preset time interval;
when the intelligent door and window is in an open state, the time of the first timer is reset to zero and timing is started, if a first preset time interval is set to 5 minutes and a first preset detection duration is set to 1 minute, noise detection is started to be carried out on the current indoor environment when the first timer reaches the 5 th minute, noise detection is stopped when the first timer reaches the 6 th minute, and finally a first average noise value is calculated according to a real-time noise value detected in the 1 minute; the first timer is then reset to zero and the timer is restarted to repeat the detection process. The mode of averaging the noise values is adopted to eliminate the influence of accidental conditions on the noise value detection (such as objects falling in a room to make a sound), and restore the real noise condition in the room as much as possible, so that the accuracy of the noise value detection is improved.
S2, judging whether the first continuous detection times that the first average noise value is continuously larger than the first preset noise threshold value for multiple times is equal to the first preset times or not;
assuming that the first preset noise threshold is 50dB and the first preset number of times is 3 times, if the first average noise value is greater than 50dB in a certain detection and the first average noise value is greater than 50dB in the detection of two consecutive detection periods after the certain detection, it is determined that the first continuous detection number of times that the first average noise value is greater than the first preset noise threshold (50dB) consecutively for a plurality of times is equal to the first preset number of times (3 times).
S3, if the first continuous detection times that the first average noise value is continuously larger than the first preset noise threshold value for multiple times are equal to the first preset times, controlling the intelligent door and window to be closed so as to isolate outdoor noise;
here sets up first preset number of times as many times for just closing door and window under the condition that all shows the noise and exceeds standard in the detection of continuous a plurality of cycles, thereby avoided the influence of accidental noise to a certain extent (if there is a batch large-scale freight train to pass through and lead to the noise to exceed standard in a certain period of time, but can not lead to too big influence to user's subsequent sleep quality), make noise detection point to more pertinence and can produce the continuation noise of essential influence to user's sleep, further improved the accuracy of noise detection result. The intelligent door and window movement can be achieved through driving devices such as servo motors and the like installed in the intelligent door and window, specifically, the input end of each driving device is in communication connection with the output end of intelligent terminal equipment such as an intelligent television, and the intelligent terminal equipment controls the operation of the driving devices through outputting opening signals and closing signals and further controls the opening and closing of the intelligent door and window. It should be noted that, the technology for driving the door and window to open and close by controlling the driving device of the intelligent terminal device is well known and commonly used by those skilled in the art, and therefore, detailed descriptions of the specific connection mode between the driving device and the intelligent door and window, and the specific implementation mode of the opening and closing driving are omitted here.
Therefore, in the embodiment, the first average noise value of the current indoor environment in the first preset detection duration is detected every a first preset time interval, and when the first continuous detection times that the first average noise value is continuously and repeatedly greater than the first preset noise threshold value are equal to the first preset times, the intelligent door and window is controlled to be automatically closed, so that the user in the sleeping state can be conveniently and effectively helped to resist outdoor noise, and the noise of the indoor environment is reduced by an intelligent means and is more suitable for sleeping.
Further, referring to fig. 2, in an exemplary embodiment, after the step of controlling the smart door window to close, the method further includes:
after the intelligent door and window is closed, detecting a second average noise value of the current indoor environment within a second preset detection time length at intervals of a second preset time interval;
judging whether a second continuous detection frequency of the second average noise value which is continuously larger than a second preset noise threshold value for multiple times is equal to a second preset frequency or not;
and if the second continuous detection times that the second average noise value is continuously larger than the second preset noise threshold value for multiple times are equal to the second preset times, playing preset sleep-aid audio.
In the implementation process of this embodiment, a timer may be set to trigger the intelligent electronic device to perform corresponding operations at various time points. In this embodiment, a second timer may be provided, and based on the second timer, each step in this embodiment is described in detail below:
s4, detecting a second average noise value of the current indoor environment within a second preset detection time length at intervals of a second preset time interval after the intelligent door and window are closed;
after the intelligent door and window is closed, resetting the time of the second timer to zero and starting timing, if a second preset time interval is set to 15 minutes and a second preset detection time duration is set to 2 minutes, starting to perform noise detection on the current indoor environment when the second timer reaches the 15 th minute, stopping the noise detection when the second timer reaches the 17 th minute, and finally calculating a second average noise value according to the real-time noise value detected in the 2 minutes; the second timer is then reset to zero and counting is resumed to repeat the detection process. The mode of averaging the noise values is adopted to eliminate the influence of accidental conditions on the noise value detection (such as objects falling in a room to make a sound), and restore the real noise condition in the room as much as possible, so that the accuracy of the noise value detection is improved.
S5, judging whether a second continuous detection frequency that the second average noise value is continuously larger than a second preset noise threshold for multiple times is equal to a second preset frequency;
assuming that the second preset noise threshold is 40dB and the second preset number of times is 2 times, if the second average noise value is greater than 40dB in a certain detection and the second average noise value is also greater than 40dB in a detection after the certain detection, it is determined that the second continuous detection number of times that the second average noise value is continuously greater than the second preset noise threshold (40dB) multiple times is equal to the second preset number of times (2 times).
And S6, if the second continuous detection times that the second average noise value is continuously larger than the second preset noise threshold value for multiple times are equal to the second preset times, playing a preset sleep-assisting audio.
Here sets up the second and presets the number of times to many times for only show the noise and exceed standard the condition under just broadcast the help sleeping audio frequency in the detection of continuous a plurality of cycles, thereby avoided the influence of accidental noise to a certain extent (if there is a batch of large-scale freight train to pass through and lead to the noise to exceed standard in a certain period of time, but can not lead to too big influence to user's subsequent sleep quality), make the noise detection more pointed to the continuation noise that can produce the essence influence to user's sleep, further improved the accuracy of noise detection result. The sleep-aiding audio can be white noise with gentle and slow melody and uniform frequency, and can help a user fall asleep under the condition that the door and window are closed and the noise cannot be shielded. The playing of the sleep-aiding audio can be realized by controlling devices such as a CD player, a television, a sound and the like.
Further, referring to fig. 3, in an exemplary embodiment, after the step of detecting a second average noise value of the current indoor environment within a second preset detection time period every second preset time after the smart door/window is closed, the method further includes:
judging whether a first duration of which the second average noise value is not more than a second preset noise threshold value continuously reaches a first preset duration or not;
and if the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously reaches the first preset duration, controlling the intelligent door and window to be opened.
In the implementation process of this embodiment, the first duration may be recorded by setting a third timer, and based on the third timer, the following detailed description is made for each step in this embodiment:
s41, judging whether the first duration of the second average noise value which is not more than the second preset noise threshold value reaches the first preset duration or not;
when the intelligent door and window is closed, the time of the second timer and the time of the third timer are both reset to zero and timing is started, if a second preset time interval is set to 15 minutes, and a second preset detection time duration is set to 2 minutes, noise detection is started to be carried out on the current indoor environment when the second timer reaches the 15 th minute, the noise detection is stopped when the second timer reaches the 17 th minute, and finally a second average noise value is calculated according to the real-time noise value detected in the 2 minutes; the second timer is then reset to zero and counting is resumed to repeat the detection process. Assuming that the second preset noise threshold is 40dB and the first preset time period is 60 minutes, if the second average noise value is not greater than 40dB in a certain detection, and the second average noise value is not greater than 40dB in a plurality of detections after the certain detection, and the time of the third timer has reached 60 minutes after the plurality of detections, it is determined that the first duration for which the second average noise value is continuously not greater than the second preset noise threshold (40dB) has reached the first preset time period (60 minutes).
And S42, if the first duration of the second average noise value which is not greater than the second preset noise threshold value reaches the first preset duration, controlling the intelligent door window to be opened.
The first preset time (the first preset time exceeds the time obtained by adding the second preset time interval and the second preset detection time) is set, so that the ambient noise cannot influence the sleep of the user only under the condition that the noise in a continuous time period does not exceed the standard all the time, and then the door and the window are opened, the indoor air circulation is kept under the condition that the ambient noise does not influence the sleep of the user, the condition that misjudgment is caused because the ambient noise temporarily does not exceed the standard is avoided to a certain extent, and the accuracy of a noise detection result is further improved.
Further, referring to fig. 3, in an exemplary embodiment, after the step of determining whether the first duration in which the second average noise value is continuously not greater than the second preset noise threshold reaches the first preset duration, the method further includes:
and S43, if the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously does not reach the first preset duration, keeping the intelligent door and window closed.
In this embodiment, the first duration that the second average noise value is not greater than the second preset noise threshold value continuously does not reach the first preset duration, which indicates that although the ambient noise in the detection time period does not exceed the standard, the total duration that the noise does not exceed the standard still does not reach the requirement, that is, the detection time period is in an uncertain state, and then the noise may still exceed the standard and affect the sleep of the user. Therefore, the door and window needs to be kept in a closed state, and meanwhile, the step of detecting the second average noise value of the current indoor environment within the second preset detection duration at intervals of the second preset time interval is continuously executed.
Further, referring to fig. 4, in an exemplary embodiment, after the step of playing the preset sleep-aid audio, the method further includes:
after the sleep-aiding audio is played, detecting a third average noise value of the current indoor environment within a third preset detection duration at intervals of a third preset time interval; in the process of detecting a third average noise value of the current indoor environment within a third preset detection duration, the sleep-assisting audio is in a pause state;
judging whether the third average noise value is larger than a third preset noise threshold value or not;
if the third average noise value is not greater than the third preset noise threshold, judging whether a second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches a second preset duration;
and if the second duration of the third average noise value which is not more than the third preset noise threshold value continuously reaches the second preset duration, controlling the sleep-assisting audio to stop and/or controlling the intelligent door and window to open.
In the implementation process of this embodiment, a timer may be set to trigger the intelligent electronic device to perform corresponding operations at various time points. In this embodiment, a fourth timer and a fifth timer may be provided, and based on the fourth timer and the fifth timer, each step in this embodiment is described in detail below:
s7, after the sleep-aiding audio is played, detecting a third average noise value of the current indoor environment within a third preset detection duration at intervals of a third preset time interval; in the process of detecting a third average noise value of the current indoor environment within a third preset detection duration, the sleep-assisting audio is in a pause state;
after the sleep-aid audio is played, the time of the fourth timer and the time of the fifth timer are both reset to zero and timing is started, if a third preset time interval is set to 30 minutes and a third preset detection time duration is set to 3 minutes, the sleep-aid audio is paused to be played when the fourth timer reaches the 30 th minute (the sleep-aid audio can influence noise detection), noise detection is started to be carried out on the current indoor environment, the noise detection is stopped when the fourth timer reaches the 33 th minute, and finally, a third average noise value is calculated according to the real-time noise value detected in the 3 minutes; the fourth timer is then reset to zero and the timer is restarted to repeat the detection process. The mode of averaging the noise values is adopted to eliminate the influence of accidental conditions on the noise value detection (such as objects falling in a room to make a sound), and restore the real noise condition in the room as much as possible, so that the accuracy of the noise value detection is improved.
S8, judging whether the third average noise value is larger than a third preset noise threshold value;
if the third preset noise threshold is 30dB, if the third average noise value is not greater than 30dB in a certain detection, it is determined that the third average noise value is not greater than the third preset noise threshold (30 dB).
S9, if the third average noise value is not greater than the third preset noise threshold, judging whether a second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches a second preset duration;
assuming that the second preset time period is 90 minutes, if the third average noise value in a certain detection is not greater than 30dB, and the third average noise value in a plurality of detections after the certain detection is not greater than 30dB, and after the plurality of detections, the time of the fifth timer has reached 90 minutes, it is determined that the second duration in which the third average noise value continues not greater than the third preset noise threshold (30dB) has reached the second preset time period (90 minutes).
S10, if the second duration that the third average noise value is not larger than the third preset noise threshold value continuously reaches a second preset duration, controlling the sleep-assisting audio to stop and/or controlling the intelligent door window to open;
the second preset time length (the time obtained by adding the second preset time length to the third preset detection time length when the second preset time length exceeds the third preset time interval) is set, so that the ambient noise can not influence the sleep of the user only under the condition that the noise in a continuous time period does not exceed the standard all the time, the playing of the sleep-assisting audio is stopped, or the door and the window are opened, the electric energy is saved and the indoor air circulation is kept under the condition that the ambient noise does not influence the sleep of the user, the condition that misjudgment is caused because the ambient noise temporarily does not exceed the standard is avoided to a certain degree, and the accuracy of a noise detection result is further improved.
Further, referring to fig. 5, in an exemplary embodiment, after the step of determining whether the third average noise value is greater than the third preset noise threshold, the method further includes:
s81, if the third average noise value is larger than a third preset noise threshold value, playing a sleep-aiding audio;
s82, if the third average noise value is not greater than the third preset noise threshold, judging whether a second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches a second preset duration;
and S83, if the second duration of the third average noise value which is not greater than the third preset noise threshold value does not reach the second preset duration, playing a sleep-aid audio.
In this embodiment, the third average noise value is greater than a third preset noise threshold, which indicates that the environmental noise still exceeds the standard within the time period; and the second duration of the third average noise value which is not greater than the third preset noise threshold value continuously does not reach the second preset duration, which indicates that although the environmental noise in the detection time period does not exceed the standard, the total duration of the noise which does not exceed the standard still does not reach the requirement, namely the detection time period is in an uncertain state, and the condition that the noise exceeds the standard still possibly occurs subsequently and the sleep of the user is influenced. Therefore, based on the above two situations, the sleep-aid audio needs to be played continuously to ensure the sleep quality of the user.
Further, referring to fig. 6, in an exemplary embodiment, the step of detecting the first average noise value of the current indoor environment within the first preset detection duration at intervals of the first preset time interval when the smart door/window is in the open state includes:
s11, when the intelligent door and window is in an open state, resetting the numerical value of a preset first counter to be zero, carrying out noise detection on the current indoor environment at intervals of a first preset time interval, wherein the detection time for carrying out noise detection each time is a first preset detection time;
s12, calculating a first average noise value of the current indoor environment within a first preset detection time length, and judging whether the first average noise value is greater than a first preset noise threshold value;
s13, if the first average noise value is larger than the first preset noise threshold value, controlling the numerical value of the first counter to increase by one;
s14, if the first average noise value is not greater than the first predetermined noise threshold, controlling the value of the first counter to be reset to zero.
In this embodiment, the first counter is introduced, so that the step of determining whether the first continuous detection time is equal to the first preset time can be automatically implemented by the first counter. Specifically, assuming that the first preset noise threshold is 50dB and the first preset number of times is 3, if the first average noise value is greater than 50dB in a certain detection, the value of the first counter whose control value has been reset to zero is incremented by one, and at this time, the value of the first counter is 1; if the first average noise value is greater than 50dB in the detection of two continuous detection periods after the detection, the numerical value of the first counter is controlled to be increased by one after the two detections, the numerical value of the first counter is 3 at the moment, the processor receives the numerical value of the first counter and judges that the numerical value of the first counter is equal to the first preset number of times (3 times), and then the intelligent door and window is controlled to be closed to isolate the outdoor noise. Before the value of the first counter is equal to 3, if the first average noise value is not greater than 50dB in a certain detection, the value of the first counter is reset to zero to restart counting.
In this embodiment, only the steps in the automatic sleep-aiding method are optimized based on the first counter, and the rest of the execution flows and the logic relationships have been described in detail in the above embodiments, which can be specifically referred to fig. 1 and the above embodiments, and are not described again here.
Further, referring to fig. 7, in an exemplary embodiment, the step of detecting a second average noise value of the current indoor environment within a second preset detection time period at intervals of a second preset time interval after the smart door/window is closed includes:
s41, after the intelligent door and window is closed, resetting the numerical value of a preset second counter to be zero, carrying out noise detection on the current indoor environment at intervals of a second preset time interval, wherein the detection time length of each noise detection is a second preset detection time length;
s42, calculating a second average noise value of the current indoor environment within a second preset detection time length, and judging whether the second average noise value is larger than a second preset noise threshold value;
s43, if the second average noise value is larger than the second preset noise threshold value, controlling the numerical value of the second counter to increase by one;
and S44, if the second average noise value is not greater than the second preset noise threshold value, controlling the numerical value of the second counter to be reset to zero.
In this embodiment, the second counter is introduced, so that the step of determining whether the second continuous detection time is equal to the second preset time can be automatically implemented by the second counter. Specifically, assuming that the second preset noise threshold is 40dB and the second preset number of times is 2 times, if the second average noise value is greater than 40dB in a certain detection, the value of the second counter whose control value has been reset to zero is incremented by one, and at this time, the value of the second counter is 1; and if the second average noise value is also larger than 40dB in one detection after the detection, controlling the numerical value of the second counter to be increased by one, wherein the numerical value of the second counter is 2, receiving the numerical value of the second counter by the processor, judging that the numerical value of the second counter is equal to a second preset number of times (2 times), and starting to play the preset sleep-assisting audio. Before the value of the second counter is equal to 2, if the second average noise value is not more than 40dB in a certain detection, the value of the second counter is reset to zero to restart counting.
In this embodiment, only the steps in the automatic sleep-aiding method are optimized based on the second counter, and the rest of the execution flows and the logic relationships have been described in detail in the above embodiments, which can be specifically referred to fig. 2 and the above embodiments, and are not described again here.
Correspondingly, an embodiment of the present invention further provides a storage medium, where an automatic sleep-assisting program is stored on the storage medium, and the automatic sleep-assisting program is executed by the processor to implement the steps of the automatic sleep-assisting method based on indoor noise in any of the above embodiments.
In the present embodiment, the storage medium may include, but is not limited to, any type of disk (including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks), ROMs (Read-Only memories), RAMs (Random access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards, and various media capable of storing program codes.
It will be apparent to those skilled in the art that the steps of the present invention described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of computing devices, or alternatively, by program code executable by a computing device, such that the steps shown and described may be performed by a computing device stored in a memory device and, in some cases, performed in a sequence different from that described herein, or fabricated separately as individual integrated circuit modules or fabricated as a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It should be noted that other contents of the automatic sleep-assisting method based on indoor noise, the intelligent electronic device and the storage medium disclosed in the present invention can be referred to in the prior art, and are not described herein again.
In addition, it should be noted that the descriptions related to "first", "second", etc. in the present invention are only used for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The above description is only an alternative embodiment of the present invention, and is not intended to limit the present invention in any way, so that any modification, equivalent change and modification made to the above embodiment according to the technical essence of the present invention are within the scope of the technical solution of the present invention, unless departing from the technical solution of the present invention.
Claims (10)
1. The utility model provides an automatic help dormancy method based on indoor noise, is applied to intelligent electronic equipment, intelligent electronic equipment is used for controlling intelligent door and window at least and opens or close which characterized in that, the automatic help dormancy method based on indoor noise includes following step:
when the intelligent door and window is in an open state, detecting a first average noise value of the current indoor environment within a first preset detection duration at intervals of a first preset time interval;
judging whether a first continuous detection frequency of the first average noise value which is continuously and repeatedly larger than a first preset noise threshold value is equal to a first preset frequency or not;
and if the first continuous detection times that the first average noise value is continuously greater than the first preset noise threshold value for multiple times are equal to the first preset times, controlling the intelligent door and window to be closed so as to isolate outdoor noise.
2. The automatic sleep-aiding method based on indoor noise according to claim 1, wherein after the step of controlling the smart door window to be closed, the method further comprises:
after the intelligent door and window is closed, detecting a second average noise value of the current indoor environment within a second preset detection time length at intervals of a second preset time interval;
judging whether a second continuous detection frequency of the second average noise value which is continuously larger than a second preset noise threshold for multiple times is equal to a second preset frequency or not;
and if the second continuous detection times of the second average noise value which is continuously and repeatedly greater than the second preset noise threshold value are equal to the second preset times, playing preset sleep-aid audio.
3. The automatic sleep-assisting method based on indoor noise according to claim 2, wherein after the step of detecting a second average noise value of the current indoor environment within a second preset detection time period every second preset time after the smart door/window is closed, the method further comprises:
judging whether a first duration of the second average noise value which is not more than the second preset noise threshold value continuously reaches a first preset duration or not;
and if the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously reaches the first preset duration, controlling the intelligent door and window to be opened.
4. The method of claim 3, wherein the step of determining whether the first duration for which the second average noise value is not greater than the second predetermined noise threshold has reached a first predetermined duration further comprises:
and if the first duration of the second average noise value which is not greater than the second preset noise threshold value continuously does not reach the first preset duration, keeping the intelligent door and window closed.
5. The automatic sleep-aid method based on indoor noise as claimed in claim 2, wherein said step of playing the preset sleep-aid audio is followed by further comprising:
after the sleep-aiding audio is played, detecting a third average noise value of the current indoor environment within a third preset detection duration at intervals of a third preset time interval; wherein, in the process of detecting the third average noise value of the current indoor environment within the third preset detection duration, the sleep-assisting audio is in a pause state;
judging whether the third average noise value is larger than a third preset noise threshold value or not;
if the third average noise value is not greater than the third preset noise threshold, judging whether a second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches a second preset duration;
and if the second duration of the third average noise value is not continuously greater than the third preset noise threshold value and reaches the second preset duration, controlling the sleep-assisting audio to stop and/or controlling the intelligent door and window to open.
6. The method of claim 5, wherein the step of determining whether the third average noise value is greater than a third predetermined noise threshold value is further followed by:
if the third average noise value is larger than the third preset noise threshold value, the sleep-aiding audio is played;
if the third average noise value is not greater than the third preset noise threshold, judging whether the second duration of the third average noise value which is not greater than the third preset noise threshold continuously reaches the second preset duration;
and if the second duration of the third average noise value which is not greater than the third preset noise threshold value continuously does not reach the second preset duration, playing the sleep-aid audio.
7. The automatic sleep-aiding method based on indoor noise according to claim 1, wherein the step of detecting the first average noise value of the current indoor environment within the first preset detection duration at every first preset time interval when the smart door/window is in the open state comprises:
when the intelligent door and window is in an open state, resetting the numerical value of a preset first counter to zero, carrying out noise detection on the current indoor environment at intervals of a first preset time interval, wherein the detection time for carrying out the noise detection each time is the first preset detection time;
calculating the first average noise value of the current indoor environment within the first preset detection duration, and judging whether the first average noise value is greater than the first preset noise threshold value;
if the first average noise value is larger than the first preset noise threshold value, controlling the numerical value of the first counter to be increased by one;
and if the first average noise value is not greater than the first preset noise threshold value, controlling the numerical value of the first counter to be reset to zero.
8. The automatic sleep-aiding method based on indoor noise according to claim 2, wherein the step of detecting a second average noise value of the current indoor environment within a second preset detection time period every second preset time interval after the smart door/window is closed comprises:
after the intelligent door and window is closed, resetting the numerical value of a preset second counter to be zero, carrying out noise detection on the current indoor environment at intervals of a second preset time interval, wherein the detection time for carrying out the noise detection each time is the second preset detection time;
calculating the second average noise value of the current indoor environment within the second preset detection duration, and judging whether the second average noise value is greater than the second preset noise threshold value;
if the second average noise value is larger than the second preset noise threshold value, controlling the numerical value of the second counter to be increased by one;
and if the second average noise value is not greater than the second preset noise threshold value, controlling the numerical value of the second counter to be reset to zero.
9. An intelligent electronic device, characterized in that the intelligent electronic device comprises a memory, a processor and an automatic sleep-aid program stored on the memory and executable on the processor, the automatic sleep-aid program being configured to implement the steps of the automatic sleep-aid method based on indoor noise according to any one of claims 1 to 8.
10. A storage medium having an automatic sleep-aiding program stored thereon, wherein the automatic sleep-aiding program, when executed by a processor, implements the steps of the automatic sleep-aiding method based on indoor noise according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111007931.0A CN113679926A (en) | 2021-08-30 | 2021-08-30 | Automatic sleep aiding method based on indoor noise, intelligent electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111007931.0A CN113679926A (en) | 2021-08-30 | 2021-08-30 | Automatic sleep aiding method based on indoor noise, intelligent electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113679926A true CN113679926A (en) | 2021-11-23 |
Family
ID=78584071
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111007931.0A Pending CN113679926A (en) | 2021-08-30 | 2021-08-30 | Automatic sleep aiding method based on indoor noise, intelligent electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113679926A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114137848A (en) * | 2021-11-30 | 2022-03-04 | 重庆电子工程职业学院 | Household noise intelligent control system and method based on 5G platform |
| CN114482770A (en) * | 2022-01-25 | 2022-05-13 | 东风汽车集团股份有限公司 | Intelligent control method for vehicle window skylight, storage medium, electronic equipment and device |
Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06237902A (en) * | 1993-02-18 | 1994-08-30 | Shimizu Corp | Health control system |
| JP2005021331A (en) * | 2003-07-01 | 2005-01-27 | Sony Corp | Apparatus and method for good sleep promotion |
| CN201911678U (en) * | 2011-01-19 | 2011-08-03 | 杨平 | Comfortable sleep apparatus |
| CN104490518A (en) * | 2014-12-15 | 2015-04-08 | 广西大学 | Sleeping earplug |
| CN105249744A (en) * | 2015-09-01 | 2016-01-20 | 朱晖 | Modularization intelligent pillow and intelligent device |
| CN105257140A (en) * | 2015-09-24 | 2016-01-20 | 小米科技有限责任公司 | Method and device for controlling intelligent door and window |
| CN105592777A (en) * | 2013-07-08 | 2016-05-18 | 瑞思迈传感器技术有限公司 | Method and system for sleep management |
| CN205805290U (en) * | 2016-06-28 | 2016-12-14 | 南安泰达工业设计有限公司 | A kind of intelligent window control circuit |
| CN106693143A (en) * | 2015-07-27 | 2017-05-24 | 中兴通讯股份有限公司 | Sleeping-aiding method and device |
| WO2017193317A1 (en) * | 2016-05-12 | 2017-11-16 | 深圳市赛亿科技开发有限公司 | Method for assisting sleep |
| CN107575118A (en) * | 2016-07-01 | 2018-01-12 | 台山市云鼎网络技术开发有限公司 | A kind of intelligent window control method and system |
| CN207728213U (en) * | 2017-12-11 | 2018-08-14 | 广东轻工职业技术学院 | A kind of intelligent door and window control system |
| CN108868447A (en) * | 2018-08-09 | 2018-11-23 | 韩丽汀 | One kind being based on dormant intelligent ventilation window and its control method |
| CN109138727A (en) * | 2018-09-17 | 2019-01-04 | 北海华源电子有限公司 | Automatic window-closing system based on sound decibel detector |
| CN109209136A (en) * | 2018-09-17 | 2019-01-15 | 北海华源电子有限公司 | For the system according to sound automatic window-closing |
| CN109519076A (en) * | 2018-09-17 | 2019-03-26 | 北海华源电子有限公司 | Intelligent window closing system |
| CN110488627A (en) * | 2019-09-02 | 2019-11-22 | 河北省林息深睡健康管理咨询有限公司 | A method of comprehensive utilization indoor electric appliance equipment improves sleep |
| CN111096603A (en) * | 2019-12-12 | 2020-05-05 | 广东科优韵智能家居有限公司 | Sleep-aiding mattress and sleep-aiding management and control method for same |
| KR20200093127A (en) * | 2019-01-27 | 2020-08-05 | 이선의 | Sleep inducing device |
| CN111694282A (en) * | 2020-04-30 | 2020-09-22 | 天津师范大学 | Comprehensive sleep-aiding regulation and control method based on Internet of things |
| CN213743103U (en) * | 2020-09-28 | 2021-07-20 | 深圳市和佳兴电子有限公司 | But bluetooth transmission device that falls throat helps dormancy |
| CN113189884A (en) * | 2021-04-30 | 2021-07-30 | 重庆工程职业技术学院 | Multimedia playing system and method based on smart home |
-
2021
- 2021-08-30 CN CN202111007931.0A patent/CN113679926A/en active Pending
Patent Citations (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06237902A (en) * | 1993-02-18 | 1994-08-30 | Shimizu Corp | Health control system |
| JP2005021331A (en) * | 2003-07-01 | 2005-01-27 | Sony Corp | Apparatus and method for good sleep promotion |
| CN201911678U (en) * | 2011-01-19 | 2011-08-03 | 杨平 | Comfortable sleep apparatus |
| CN105592777A (en) * | 2013-07-08 | 2016-05-18 | 瑞思迈传感器技术有限公司 | Method and system for sleep management |
| CN104490518A (en) * | 2014-12-15 | 2015-04-08 | 广西大学 | Sleeping earplug |
| CN106693143A (en) * | 2015-07-27 | 2017-05-24 | 中兴通讯股份有限公司 | Sleeping-aiding method and device |
| CN105249744A (en) * | 2015-09-01 | 2016-01-20 | 朱晖 | Modularization intelligent pillow and intelligent device |
| CN105257140A (en) * | 2015-09-24 | 2016-01-20 | 小米科技有限责任公司 | Method and device for controlling intelligent door and window |
| WO2017193317A1 (en) * | 2016-05-12 | 2017-11-16 | 深圳市赛亿科技开发有限公司 | Method for assisting sleep |
| CN205805290U (en) * | 2016-06-28 | 2016-12-14 | 南安泰达工业设计有限公司 | A kind of intelligent window control circuit |
| CN107575118A (en) * | 2016-07-01 | 2018-01-12 | 台山市云鼎网络技术开发有限公司 | A kind of intelligent window control method and system |
| CN207728213U (en) * | 2017-12-11 | 2018-08-14 | 广东轻工职业技术学院 | A kind of intelligent door and window control system |
| CN108868447A (en) * | 2018-08-09 | 2018-11-23 | 韩丽汀 | One kind being based on dormant intelligent ventilation window and its control method |
| CN109138727A (en) * | 2018-09-17 | 2019-01-04 | 北海华源电子有限公司 | Automatic window-closing system based on sound decibel detector |
| CN109209136A (en) * | 2018-09-17 | 2019-01-15 | 北海华源电子有限公司 | For the system according to sound automatic window-closing |
| CN109519076A (en) * | 2018-09-17 | 2019-03-26 | 北海华源电子有限公司 | Intelligent window closing system |
| KR20200093127A (en) * | 2019-01-27 | 2020-08-05 | 이선의 | Sleep inducing device |
| CN110488627A (en) * | 2019-09-02 | 2019-11-22 | 河北省林息深睡健康管理咨询有限公司 | A method of comprehensive utilization indoor electric appliance equipment improves sleep |
| CN111096603A (en) * | 2019-12-12 | 2020-05-05 | 广东科优韵智能家居有限公司 | Sleep-aiding mattress and sleep-aiding management and control method for same |
| CN111694282A (en) * | 2020-04-30 | 2020-09-22 | 天津师范大学 | Comprehensive sleep-aiding regulation and control method based on Internet of things |
| CN213743103U (en) * | 2020-09-28 | 2021-07-20 | 深圳市和佳兴电子有限公司 | But bluetooth transmission device that falls throat helps dormancy |
| CN113189884A (en) * | 2021-04-30 | 2021-07-30 | 重庆工程职业技术学院 | Multimedia playing system and method based on smart home |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114137848A (en) * | 2021-11-30 | 2022-03-04 | 重庆电子工程职业学院 | Household noise intelligent control system and method based on 5G platform |
| CN114482770A (en) * | 2022-01-25 | 2022-05-13 | 东风汽车集团股份有限公司 | Intelligent control method for vehicle window skylight, storage medium, electronic equipment and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113679926A (en) | Automatic sleep aiding method based on indoor noise, intelligent electronic equipment and storage medium | |
| US20230071312A1 (en) | External Activation of Quiescent Device | |
| CN110769319B (en) | Standby wakeup interaction method and device | |
| CN106502371A (en) | A kind of electricity-saving control method and device | |
| CN111965985B (en) | Smart home equipment control method and device, electronic equipment and storage medium | |
| CN110827818A (en) | Control method, device, equipment and storage medium of intelligent voice equipment | |
| CN111077785A (en) | Awakening method, awakening device, terminal and storage medium | |
| CN111817936A (en) | Control method and device of intelligent household equipment, electronic equipment and storage medium | |
| CN113296420A (en) | Scene automatic adjusting method, system, device and storage medium | |
| CN113593544A (en) | Device control method and apparatus, storage medium, and electronic apparatus | |
| CN109545211A (en) | Voice interactive method and system | |
| CN110084923B (en) | Door lock control method, device, system, electronic equipment and storage medium | |
| CN109686372B (en) | Resource playing control method and device | |
| CN112785802B (en) | Intelligent household security system control method and device, electronic equipment and medium | |
| CN113160815A (en) | Intelligent control method, device and equipment for voice awakening and storage medium | |
| CN109780685A (en) | A kind of device energy conservation control method, device and household electrical appliance | |
| CN113643704A (en) | Test method, upper computer, system and storage medium of vehicle-mounted machine voice system | |
| WO2022262534A1 (en) | Control method, apparatus and device for household appliance | |
| CN111007732A (en) | Air conditioner vision wake-up-free identification method and system based on scale change and intelligent home | |
| CN110941198A (en) | Storage medium, smart panel and power-saving booting method thereof | |
| CN113848738A (en) | Control method and device of intelligent equipment | |
| CN113628620A (en) | Intelligent device awakening method and device, electronic device and storage medium | |
| CN113834192A (en) | State adjustment method for voice recognition device in air conditioner and air conditioner | |
| CN113765757A (en) | Equipment end voice reminding method and system and household appliance | |
| CN112215995A (en) | Control method and system for remote visual intercom intelligent door lock and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211123 |