CN115316950A

CN115316950A - Sleep noise detection method and device, wearable device and storage medium

Info

Publication number: CN115316950A
Application number: CN202210979571.9A
Authority: CN
Inventors: 吴剑锋
Original assignee: Dongguan Bubugao Education Software Co ltd
Current assignee: Dongguan Bubugao Education Software Co ltd
Priority date: 2022-08-16
Filing date: 2022-08-16
Publication date: 2022-11-11

Abstract

The embodiment of the invention discloses a sleep noise detection method, a sleep noise detection device, wearable equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining a sleep flag provided by a sleep monitoring function module of the wearable device, wherein the sleep flag is used for indicating the current state of a user in sleep; when the sleep flag bit indicates that the user is in a sleep state, starting a noise measurement module of the wearable device to measure external noise to obtain noise data; analyzing the noise data to obtain a noise measurement result; the external noise detection can be performed when the user is in a sleeping state by combining the sleep flag bit given by the sleep monitoring function module, and the detected noise data is analyzed to determine the acoustic quality of the sleeping environment where the user is located, so that the sleeping environment monitoring is realized.

Description

Sleep noise detection method and device, wearable device and storage medium

Technical Field

The present application relates to the field of wearable device technologies, and in particular, to a sleep noise detection method and apparatus, a wearable device, and a storage medium.

Background

A child in a kindergarten or school generally has a nap in the kindergarten, school, or afternoon shift, and a parent is not near, but wants to know the nap of the child, such as when the child has a nap, when the child wakes up, how long the child has slept, and the like. For this reason, many parents have been equipped with wearable equipment that has sleep monitoring function on the market for children, for example intelligent bracelet, intelligent bracelet etc.

Wearable equipment has the physical activity record appearance, and the physical activity parameter that can record through the physical activity record appearance etc. when analysis child nap, when awaken. However, some parents want to further know other factors influencing the nap of children, such as how the environment of the nap is, and the noises are loud, because these factors directly influence the quality of the nap of children, and thus influence the mental state of the children in the afternoon, and indirectly influence the learning quality of the children.

However, many wearable devices on the market at present implement body movement monitoring, cardiopulmonary monitoring and the like, but have shortcomings in other aspects, and cannot meet the requirements of parents, and further research and development of technical personnel in the field is still needed.

Disclosure of Invention

The embodiment of the application discloses a sleep noise detection method and device, wearable equipment and a storage medium, which are used for solving the problem that the existing wearable equipment is insufficient in sleep noise detection and realizing sleep environment monitoring.

The first aspect of the embodiments of the present invention discloses a sleep noise detection method, which may include:

the method comprises the steps of obtaining a sleep flag provided by a sleep monitoring function module of the wearable device, wherein the sleep flag is used for indicating the current state of a user in sleep;

when the sleep flag bit indicates that the user is in a sleep state, starting a noise measurement module of the wearable device to measure external noise to obtain noise data;

and analyzing the noise data to obtain a noise measurement result.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, when the sleep flag indicates that the user is in a sleep state, turning on a noise measurement module of the wearable device to perform external noise measurement to obtain noise data includes:

and when the sleep flag bit indicates that the user is in a sleep state, a noise measurement module of the wearable device is started, external noise of preset duration is collected by the noise measurement module according to a preset collection cycle, and a plurality of noise data corresponding to the preset duration are obtained.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the method further includes:

and when the sleep flag bit indicates that the user is in the out-of-sleep state, the noise measurement module is closed, and the sleep data of the user are acquired and stored, wherein the sleep data comprise an in-sleep time point, an out-of-sleep time point, a sleep time period and an out-of-sleep time period.

As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:

when the sleep flag bit indicates that the user is in an unhappy state, no external noise measurement is performed;

and when the sleep flag bit indicates that the user is in a late sleep state, external noise measurement is not carried out, and sleep data of the user are acquired and stored.

when a preset feedback cycle is met, acquiring all noise measurement results of a time period corresponding to the preset feedback cycle and sleep data of the user, and sending the noise measurement results and the sleep data of the user to a server, so that the server can perform statistical analysis on all the noise measurement results and the sleep data of the user to obtain a sleep state distribution diagram in the time period corresponding to the preset feedback cycle, wherein the sleep state distribution diagram indicates corresponding relations of a time point of falling asleep, a sleep time period, a time point of falling asleep, a time point of not falling asleep, the sleep time period, noise level and acoustic quality of a sleep environment.

when the sleep flag bit is used for indicating that the user is in an unhappy state, sending a notification message to a bound mobile terminal for notifying that the user is unhappy;

receiving an operation instruction sent by the mobile terminal, wherein the operation instruction is used for indicating the wearable device to feed back the current positioning;

responding to the operation instruction, and acquiring positioning information of the wearable equipment through a positioning device;

when the positioning information indicates that the wearable device is currently located in a specified building, acquiring the position of the wearable device in the specified building based on an indoor navigation map corresponding to the specified building and prestored by the wearable device, and marking the position of the wearable device in the indoor navigation map;

and sending the indoor navigation map marked with the position to the mobile terminal.

A second aspect of an embodiment of the present invention discloses a sleep noise detection apparatus, which may include:

the sleep monitoring system comprises an acquisition module, a sleep monitoring function module and a sleep monitoring module, wherein the acquisition module is used for acquiring a sleep flag provided by the sleep monitoring function module of the wearable device, and the sleep flag is used for indicating the current state of a user in sleep;

the measurement module is used for starting a noise measurement module of the wearable device to measure external noise when the sleep flag bit indicates that the user is in a sleep state, so as to obtain noise data;

and the analysis module is used for analyzing the noise data to obtain a noise measurement result.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the measuring module is configured to, when the sleep flag indicates that the user is in a sleep state, turn on the noise measuring module of the wearable device to perform external noise measurement, and the manner of obtaining the noise data specifically is:

A third aspect of the embodiments of the present application discloses a wearable device, which may include:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute the sleep noise detection method disclosed by the first aspect of the embodiment of the invention.

A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, performs the steps of any one of the methods of the first aspect of the embodiments of the present invention.

A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.

A sixth aspect of the present embodiment discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where the computer program product is configured to, when running on a computer, cause the computer to perform part or all of the steps of any one of the methods in the first aspect.

Compared with the prior art, the embodiment of the application has the following beneficial effects:

in the embodiment of the application, the wearable device firstly acquires a sleep flag provided by the sleep monitoring function module, the sleep flag is used for indicating the current state of a user in sleep, and when the sleep flag indicates that the user is in a sleep state, the noise measurement module of the wearable device is started to measure external noise, so that noise data is obtained, and the noise data is analyzed to obtain a noise measurement result; by implementing the embodiment of the invention, external noise detection can be carried out when the user is in a sleeping state by combining the sleep zone bit given by the sleep monitoring function module, and the detected noise data is analyzed to determine the acoustic quality of the sleeping environment where the user is located, thereby realizing the monitoring of the sleeping environment.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a schematic diagram of a system to which a sleep noise detection method according to an embodiment of the present invention is applied;

fig. 2 is a schematic flowchart illustrating a sleep noise detection method according to an embodiment of the present invention;

fig. 3 is a schematic flowchart of a sleep noise detection method according to a second embodiment of the present invention;

fig. 4 is a schematic flowchart of a sleep noise detection method according to a third embodiment of the present invention;

fig. 5 is a schematic structural diagram of a sleep noise detection apparatus according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a sleep noise detection apparatus according to a second embodiment of the present invention;

fig. 7 is a schematic structural diagram of a sleep noise detection apparatus according to a third embodiment of the present invention;

fig. 8 is a schematic structural diagram of a wearable device disclosed in the embodiment of the invention;

fig. 9 is a schematic diagram of indicating a change in the current status of a user according to an embodiment of the present invention.

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.

It should be noted that the terms "first", "second", "third", and "fourth" and the like in the description and the claims of the present invention are used for distinguishing different objects, and are not used for describing a specific order. The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The embodiment of the invention discloses a sleep noise detection method and device, wearable equipment and a storage medium, which are used for monitoring a sleep environment so as to determine the acoustic quality of the sleep environment of a user.

Referring to fig. 1, fig. 1 is a system diagram illustrating a sleep noise detection method according to an embodiment of the present invention. In fig. 1, the system includes a smart band, a server, and a smart phone.

When using, the smart bracelet can be worn by child, and the smart mobile phone that binds with the smart bracelet holds for the head of a family, and the smart mobile phone can be used to realize remote setting and remote monitoring to the smart bracelet, and smart bracelet, smart mobile phone all can be connected with the server through the network.

The intelligent bracelet is provided with a sleep monitoring function module and a noise measurement module, and in the intelligent bracelet, the sleep monitoring module and the noise measurement module are two independent function modules which are connected with each other. In the preset sleep time of the intelligent bracelet, the body movement data of a user can be recorded through the sleep monitoring function module, and a sleep zone bit is obtained according to the analysis of the body movement data and is used for indicating the current state of the user in sleep, including an unhappy state, a sleeping out state, a sleeping late state and the like.

The sleep monitoring function module records the body movement data of the user in real time to obtain a sleep zone bit, and when the current state indicated by the sleep zone bit changes, the sleep zone bit is provided for the noise measurement module in real time. The noise measurement module measures external noise when the sleep flag indicates that the user is in a sleep state, analyzes external noise data to obtain a noise measurement result, suspends the noise measurement when the sleep flag obtained next indicates that the user is not in the sleep state, stops the noise measurement when the sleep flag indicating that the user is in the sleep state is received next, and then stores the sleep data. The server can send the noise measurement result and the sleep data to the server regularly, the server performs statistical analysis to obtain the distribution conditions of sleep and noise and the like, the result obtained by the server analysis is sent to the smart phone, the smart phone checks and learns how the peripheral noise is when the child sleeps, the acoustic quality (quiet, normal, high and high) of the sleep environment is determined, and the physical and mental health of the child is improved.

In combination with the above brief description, the following will explain embodiments of the present invention in detail from the perspective of a wearable device.

Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a sleep noise detection method according to an embodiment of the present invention; as shown in fig. 2, the sleep noise detection method may include:

201. and acquiring a sleep flag provided by a sleep monitoring function module of the wearable device, wherein the sleep flag is used for indicating the current state of the user in sleep.

The execution main body of the embodiment of the invention can be wearable equipment, and the wearable equipment can be an intelligent watch, an intelligent bracelet, head-mounted equipment and the like.

The sleep flag is used for indicating the current state of the user in sleep, namely the sleep flag is used for indicating one of the state that the user is not asleep, the state that the user is asleep and the state that the user is asleep late.

The method comprises the steps of setting a sleep monitoring function module and a noise measurement module in the wearable device, presetting the sleep time of a user, for example, presetting the afternoon nap time as 30-15% in 12 pm, recording body movement data of the user through the sleep monitoring function module in the time period of 30-15% in 12 pm every day, and analyzing and obtaining a sleep marker bit according to the body movement data.

In some embodiments, the sleep monitoring functionality comprises physical hardware, preferably a actigraph (actigraph), with a three-axis sensor capable of recording user's actigraph data from at least 3 axes of orientation, and software. The software algorithm runs in a Micro Control Unit (MCU) of the wearable device, the body movement data is recorded through the body movement recorder, and the micro control unit calls the software algorithm to analyze the body movement data to obtain the sleep zone bit.

The sleep monitoring function module can indicate the current state of the user in sleep by assigning different values to the sleep flag bits, and optionally, 0 indicates that the user is not in sleep, 1 indicates that the user is in sleep, 2 indicates that the user is in sleep, and 3 indicates that the user is in late sleep.

The operating principle of the sleep monitoring function module is then substantially as follows:

when the wearable device detects the starting time point of the sleep time of the user (for example, 12 pm, 30), the body motion recorder is started to record body motion data, the body motion data indicates that the user is still in a moving state, which indicates that the user is not falling asleep, and the sleep flag is given as 0, which indicates that the user is still in an unhappy state. Next, the real-time body movement data detected by the body movement recorder indicates that the user has not moved and has not moved for a certain time (for example, 5 minutes), which indicates that the user has fallen asleep, and the sleep flag is changed from 0 to 1, which indicates that the user is in a state of falling asleep. After the user falls asleep, if the body movement data indicates that the user moves, the user is suspected to fall asleep, the sleep flag bit is changed from 1 to 0, then the user is continuously detected and found to be in a moving state within the preset falling asleep time, the user falls asleep, and the sleep flag bit is changed from 0 to 2, so that the sleep monitoring is finished. If a long time (for example, 1 hour, to 13 hours, 30 hours) has elapsed after the start time point of the sleep time of the user is detected, the user falls asleep, which means that the user falls asleep late, and the sleep flag is given as 3.

With reference to the working principle of the sleep monitoring function module, a state change diagram shown in fig. 9 can be obtained, where fig. 9 is only one state change diagram provided by the embodiment of the present invention, fig. 9 is taken as a coordinate axis, and an ordinate represents a current state of a user, where 0 is the state that the user is not asleep, 1 is the state that the user is asleep, 2 is the state that the user is not asleep, an abscissa represents time, and a solid line represents a time period in a corresponding state, a transition from asleep to not asleep is realized as a suspected asleep state, and a flow of realizing the state change diagram shown in fig. 9 is as follows:

1. in the previous period, the user does not sleep, the sleep flag bit is 0, and the user is indicated to be in the non-sleep state;

2. when the user is detected to fall asleep, the sleep flag bit is changed from 0 to 1, which indicates that the user is in a sleep state;

3. after falling asleep for 10min, a vertical dotted line is provided, which indicates that the body movement data is changed due to the fact that the user may turn over, but the change is instantaneous and can be ignored, so that no change is found in the sleep flag bit;

4. after a period of time, the body movement data indicates that the user moves, the detected body movement is obvious at the moment, the user is suspected to go asleep, and the sleep flag bit is changed from 1 to 0, so that the user enters an un-asleep state;

5. after the very short time, the time does not meet the preset sleeping time, the body movement data indicates that the user does not move, the sleeping flag bit is changed from 0 to 1, the user enters the sleeping state again, and the suspected sleeping out in the step 4 can be shown to be possibly caused by going to the toilet or getting up to drink water and the like in the sleeping process of the user;

6. after a period of time, the body movement data indicates that the user moves, the user is suspected to go asleep, and the sleep flag bit is changed from 1 to 0, so that the user enters an unhappy state;

7. and indicating that the user moves within the preset sleeping time, indicating that the user goes out of sleep, and changing the sleeping mark from 0 to 2, wherein the sleeping is ended at the moment.

Optionally, the preset out-of-sleep time period may be set by a user extraction or by a mobile terminal user, and for example, the preset out-of-sleep time period may be 6min.

In some embodiments, in the embodiments of the present invention, the sleep monitoring function module may further acquire the physical parameters, such as heart rate, respiratory rate, and the like, through the sensor, and combine the physical parameters and the body movement data to more accurately analyze the current state of the user.

202. And when the sleep flag bit indicates that the user is in a sleep state, starting a noise measurement module of the wearable device to measure external noise, and obtaining noise data.

When the acquired sleep flag indicates that the user is in a sleep state, for example, when the sleep flag is 1, the noise measurement module is turned on to perform noise measurement, which is beneficial for the user or other users (such as parents) to know how the acoustic quality of the surrounding sleep is when the user sleeps.

Alternatively, the noise measurement module may acquire external noise by using a microphone of the wearable device, and obtain data including Pulse Code Modulation (PCM), so as to obtain noise data.

Optionally, the noise measurement module may specifically be a certain application APP of the wearable device, and when the wearable device is in a sleep state, the APP is triggered to turn on the microphone to collect external noise.

203. And analyzing the noise data to obtain a noise measurement result.

Optionally, a pre-stored algorithm of the wearable device is called, and software running in the MCU as described above is invoked to analyze the noise data to obtain a noise measurement result, where the noise measurement result may include a maximum noise decibel, a minimum noise decibel, and an average noise decibel, where the maximum noise decibel represents a maximum noise decibel of the user during a sleep period from falling asleep to falling asleep, the minimum noise decibel represents a minimum noise decibel of the user during a sleep period from falling asleep to falling asleep, and the average noise decibel represents an average noise decibel of the user during a sleep period from falling asleep to falling asleep.

By implementing the embodiment, the wearable device firstly acquires the sleep flag bit provided by the sleep monitoring function module, the sleep flag bit is used for indicating the current state of the user in sleep, and when the sleep flag bit indicates that the user is in the sleep state, the noise measurement module of the wearable device is started to measure external noise, so that noise data is obtained, and the noise data is analyzed to obtain a noise measurement result; by implementing the embodiment of the invention, external noise detection can be carried out when the user is in a sleeping state by combining the sleep zone bit given by the sleep monitoring function module, and the detected noise data is analyzed to determine the acoustic quality of the sleeping environment where the user is located, thereby realizing the monitoring of the sleeping environment.

Referring to fig. 3, fig. 3 is a schematic flow chart of a sleep noise detection method according to a second embodiment of the present invention; as shown in fig. 3, the sleep noise detection method may include:

301. the sleep flag provided by the sleep monitoring function module of the wearable device is obtained, and the sleep flag is used for indicating the current state of the user in sleep.

The execution subject of the embodiment of the invention is wearable equipment.

302. When the sleep flag bit indicates that the user is in a sleep state, a noise measurement module of the wearable device is started, external noise with preset duration is collected through the noise measurement module according to a preset collection cycle, and noise data corresponding to the preset durations are obtained.

In the embodiment of the invention, the wearable device can preset the acquisition period of the noise measurement module, the noise measurement module performs noise acquisition according to the preset acquisition period, acquires the noise data with preset duration in each preset acquisition period, then stops acquisition, waits for the next preset acquisition period to arrive, acquires the noise data with preset duration again, and repeatedly and circularly executes the acquisition until the user enters the non-sleep state or the sleep state, and finishes the noise measurement for one time of sleep. Therefore, noise data of a plurality of preset durations can be obtained in a time period from the state of falling asleep to the state of not falling asleep or the state of falling asleep, for example, if noise data acquisition is repeatedly performed in 50 preset acquisition cycles in each of which noise data of a preset duration is acquired in the time period from the state of falling asleep to the state of not falling asleep or the state of falling asleep, 50 pieces of noise data will be obtained, each of which is corresponding data of a preset duration.

Optionally, the wearable device may further set a sampling frequency at which the noise measurement module collects noise data, and sample the noise data of a preset duration based on the sampling frequency when each detection reaches a preset sampling period.

Optionally, the preset collection period, the preset duration and the sampling frequency may be set by a user, or may be set by a mobile terminal user bound to the wearable device, for example, the preset collection period may be 10min, the preset duration is 30s, and the sampling frequency may be 8KHZ.

Optionally, the wearable device may allocate a local timer for timing a preset acquisition period and a preset duration, when the wearable device acquires that the sleep flag is 1, the wearable device indicates that the user is in a sleep state, starts the timer in time, acquires data at the sampling frequency by using the noise measurement module, and stops acquisition and continues timing when the timer counts for 30 s. When the timer counts for 10min, the timer is reset, the timer starts to count from 0 again, the noise measurement module starts to collect data at the preset frequency again, when the timer counts for 30s, the collection is stopped, the timer continues to count, when the timer counts for 10min, the timer is reset again, the timer starts to count from 0 again, and the next preset collection period is started until the obtained sleep flag bit indicates that the user enters the non-sleep state or goes out of the sleep state. And ending the noise measurement.

Optionally, the wearable device may further detect whether a preset acquisition period is reached by setting an alarm clock, where a ringing duration of the preset alarm clock is 10min, when the wearable device obtains that the sleep flag bit is 1, the wearable device indicates that the user is in a sleep state, and triggers the alarm clock to ring, the noise measurement module collects external noise at the sampling frequency, synchronously starts the timer, stops collecting when the timer counts for 30s, and stops collecting when the timer counts for 10min, and triggers the alarm clock to ring again, the noise measurement module collects external noise at the sampling frequency, synchronously restarts the timer, and starts timing from 0 again, stops collecting when the timer counts for 30s, and when the timer counts for 10min, triggers the alarm clock to ring again, enters a next preset acquisition period, and repeatedly executes the operation until the user enters an un-sleep state or an out-sleep state from the sleep state, and ends this noise measurement.

303. And analyzing the noise data to obtain a noise measurement result.

According to the introduction of step 302, the noise measurement module performs noise data acquisition according to a preset acquisition cycle, and after the noise data is acquired in each preset acquisition cycle, a pre-stored algorithm may be called first to analyze the noise data acquired in the current preset acquisition cycle, so as to obtain a noise measurement result corresponding to the preset acquisition cycle, where the noise measurement result corresponding to the preset acquisition cycle includes a maximum noise decibel, a minimum noise decibel, and an average noise decibel in the preset acquisition cycle.

Further, through the

steps

302 and 303, noise measurement results corresponding to preset acquisition periods in a time period from the time when the user falls asleep to the time when the user falls asleep can be obtained, and then the noise measurement results of the preset acquisition periods are integrated to obtain the maximum noise decibel, the minimum noise decibel and the average noise decibel in the time period, so as to obtain the noise measurement result.

After steps 302-303 are performed, the overall process of noise measurement has not yet ended, and the process may proceed to step 301.

304. When the sleep flag indicates that the user is not asleep, no external noise measurement is performed.

Wherein, the step 304 may include two implementation manners:

optionally, when the start time point of the sleep time of the user is detected, the body movement data detected by the sleep monitoring function module indicates that the user does not fall asleep, the sleep flag is 0, the wearable device knows that the user is in an asleep state according to the sleep flag, the noise measurement module does not perform external noise measurement, and the user may be in the asleep state within the whole preset sleep time, and then the sleep data is acquired for storage, where the sleep data includes an asleep time period.

Optionally, after the user is in the sleep state, the body movement data detected by the sleep monitoring function module prompts the user to move, which indicates that the user is suspected of sleeping, for example, the user goes to a toilet or drinks water during the sleep process, that is, the influence of non-sleep periods such as going to the toilet or drinking water during the sleep process of the user is eliminated, the obtained sleep flag is 1, which indicates that the user is in the non-sleep state, the noise testing module may be suspended, and external noise measurement is not performed.

305. And when the sleep flag bit indicates that the user is in the out-of-sleep state, the noise measurement module is closed, and the sleep data of the user are acquired and stored, wherein the sleep data comprise an in-sleep time point, an out-of-sleep time point, a sleep time period and an out-of-sleep time period.

With the above description, after the sleep flag enters the non-sleep state from the sleep-in state, that is, after the sleep flag changes from 1 to 0, and it is detected that the user moves within the preset sleep-out duration, it indicates that the user goes out of sleep, and the sleep flag is 2, then the noise measurement module is turned off, and the sleep data is acquired and stored.

It should be noted that, when saving the sleep data, the sleep data is saved according to the actual date and the specific time, and the above-mentioned noise measurement result is also saved according to the time date and the specific time, so that the subsequent server can perform the analysis of the sleep state distribution map based on the same time axis.

306. And indicating that the user is in a late sleep state at the sleep flag bit, not measuring external noise, and acquiring and storing sleep data of the user.

For the sleep flag bit indicating that the user is in the late sleep state, the noise measurement is not needed, and the sleep data such as the time point when the user falls asleep, the sleep time period, the non-sleep time period and the like can be directly acquired for storage.

307. When the preset feedback period is met, acquiring all noise measurement results and sleep data of the user in a time period corresponding to the preset feedback period, and sending the noise measurement results and the sleep data of the user to the server, so that the server can perform statistical analysis on all the noise measurement results and the sleep data of the user, and acquiring a sleep state distribution diagram in the time period corresponding to the preset feedback period, wherein the sleep state distribution diagram indicates the corresponding relation among a sleeping time point, a sleeping time period, a sleeping late time point, a non-sleeping time point, the sleep time period, the noise level and the acoustic quality of a sleep environment.

The wearable device can also preset a feedback period, when the preset feedback period arrives, all stored noise measurement results and sleep data of the user in the preset feedback period can be acquired and sent to the server, the server further acquires the noise level, the acoustic quality of the sleep environment and the like according to the sleep measurement results, and then the noise level, the acoustic quality of the sleep environment and the like correspond to the time indicated by the sleep data, so that a sleep state distribution map is acquired.

For example, the preset feedback period may be 7 days.

Optionally, in the server, a noise evaluation index is stored, and the noise evaluation index may be as follows:

the noise decibel is less than 30dB, the noise level is I level, and the acoustic quality corresponding to the sleeping environment is quiet;

the noise decibel is more than or equal to 30dB and less than 40dB, the noise level is II level, and the acoustic quality corresponding to the sleeping environment is normal;

the noise decibel is more than or equal to 40dB and less than 55dB, the noise level is level III, and the acoustic quality corresponding to the sleeping environment is higher;

the noise decibel is more than or equal to 55dB, the noise level is IV level, and the acoustic quality corresponding to the sleep environment is high.

And integrating the data to obtain normal distribution of the sleep duration and obtain a sleep state distribution graph.

Optionally, the server may issue the sleep state distribution map to a mobile terminal bound to the wearable device, and display the sleep state distribution map through an application APP of the mobile terminal.

When the sleep flag bit indicates that the user is in an out-of-sleep state, stopping noise measurement, turning off the noise measurement module, storing the sleep data, when the sleep flag bit indicates that the user is in an out-of-sleep state, storing the sleep data without noise measurement, and when the sleep flag bit indicates that the user is in an out-of-sleep state, feeding all the noise measurement results and the sleep data in the preset feedback period back to the server, further generating a sleep state distribution diagram by the server, and sending the sleep state distribution diagram to a mobile terminal bound to the wearable device, so that the mobile terminal user can know the acoustic quality of the surrounding environment of the user of the wearable device when the user sleeps.

Further, through a test experiment, according to a power consumption formula: the power consumption (mAh) = average current (mA) × duration (H), and it is calculated that the embodiment of the present invention requires approximately 0.5mAh for performing a one-minute Zhong Zao acoustic measurement. In the embodiment of the invention, in order to ensure the reliability and the power consumption of the data to be as low as possible, after the user is determined to enter the sleep state, noise collection is carried out periodically, and each period only collects noise data with preset duration, so that the aim of saving power can be further fulfilled.

Referring to fig. 4, fig. 4 is a schematic flow chart of a sleep noise detection method according to a third embodiment of the present invention; as shown in fig. 4, the sleep noise detection method may include:

401. the sleep flag provided by the sleep monitoring function module of the wearable device is obtained, and the sleep flag is used for indicating the current state of the user in sleep.

The execution subject of the embodiment of the invention is wearable equipment.

402. And when the sleep flag bit is used for indicating that the user is in the non-sleep state, sending a notification message to the bound mobile terminal for notifying that the user is not asleep.

In the embodiment of the present invention, if the sleep flag indicates that the user is not asleep, in addition to performing the corresponding steps in the above embodiment, a notification message may also be sent to the bound mobile terminal.

403. And receiving an operation instruction sent by the mobile terminal, wherein the operation instruction is used for indicating the wearable device to feed back the current positioning.

For the mobile terminal, after receiving the notification message sent by the wearable device, if the current location of the wearable device needs to be known, an operation instruction may be further sent to the wearable device, where the operation instruction is used to instruct the wearable device to feed back the current location.

404. And responding to the operation instruction, and acquiring the positioning information of the wearable device through the positioning device.

For example, the location information of the wearable device may be obtained through GPS location.

405. When the positioning information indicates that the wearable device is currently located in the appointed building, the position of the wearable device in the appointed building is obtained based on an indoor navigation map corresponding to the appointed building prestored by the wearable device, and the position of the wearable device is marked in the indoor navigation map.

The wearable device is preset with a specified building, an indoor navigation map of the specified building is obtained and stored, and if the wearable device is located in the specified building, the user can be considered to be safe at present.

For example, the wearable device is located in xx kindergarten currently through GPS positioning, and then a specific position of the wearable device in xx kindergarten is obtained by further using a pre-stored indoor navigation map corresponding to xx kindergarten, and the position is marked in the indoor navigation map.

When the wearable device is currently in a designated building, it may be determined that the user is still safe, but may further be positioned at a specific location indoors to further confirm the user's current movement to further analyze the reason why the user is not asleep.

406. And sending the indoor navigation map marked with the position to the mobile terminal.

For the mobile terminal, when the indoor navigation map marked with the position is received, the possible reason why the wearable device user does not sleep is further analyzed according to the position of the wearable device in the indoor navigation map, for example, when the wearable device is located in a rest room, the mobile terminal can roughly conclude that the user is not sleeping in lunch, when the wearable device is located in a music room, the mobile terminal can roughly conclude that the user may be in class and the like. For example, the parents can clearly know the specific position of the child when the child does not sleep in the nursery during the afternoon nap time through the embodiment of the invention, and if the child is in the rest room but does not sleep late, the parents can further know the reason with the child after receiving the child back and grasp the condition of the child.

Optionally, when the positioning information indicates that the wearable device is not currently located in the designated building, the wearable device directly sends the positioning information to the mobile terminal, so that the mobile terminal can timely know the fact to determine whether to contact the wearable device user in the next step. For example, when the current time is the afternoon nap time of a child in a kindergarten, the child is not found in the kindergarten through the positioning information, and parents can timely know the situation with a teacher or contact the child through a telephone, so that the trends of the child can be rapidly mastered, and the personal safety of the child is improved.

Furthermore, when the positioning information indicates that the wearable device is not located in the specified building currently, the camera of the wearable device is started to shoot the environment image and collect the external sound through the microphone, and meanwhile the positioning information, the environment image and the external sound are sent to the mobile terminal together, so that the mobile terminal can analyze the movement and the situation of the wearable device more comprehensively.

By implementing the embodiment of the invention, when the sleep flag indicates that the user is not asleep, for the mobile terminal, whether the wearable device is located in a specified building or not can be determined by responding to the notification message sent by the wearable device and then further acquiring the specific location of the wearable device, so as to determine the safety of the wearable device, and further know the specific location of the user indoors, so as to further grasp the situation of children.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a sleep noise detection apparatus according to an embodiment of the present invention; as shown in fig. 5, the sleep noise detecting apparatus may include:

an obtaining module 510, configured to obtain a sleep flag provided by a sleep monitoring function module of the wearable device, where the sleep flag is used to indicate a current state of a user during sleep;

the measurement module 520 is configured to start the noise measurement module of the wearable device to perform external noise measurement when the sleep flag indicates that the user is in a sleep state, so as to obtain noise data;

an analysis module 530 is used for analyzing the noise data to obtain a noise measurement result.

By implementing the device, external noise detection can be performed when the user is in a sleep state by combining the sleep zone bit given by the sleep monitoring function module, and detected noise data is analyzed to determine the acoustic quality of the sleep environment where the user is located, so that the sleep environment monitoring is realized.

Further, the measurement module 520 is configured to, when the sleep flag indicates that the user is in a sleep state, turn on the noise measurement module of the wearable device to perform external noise measurement, and the manner of obtaining the noise data specifically is:

when the sleep flag bit indicates that the user is in a sleep state, a noise measurement module of the wearable device is started, external noise with preset duration is collected through the noise measurement module according to a preset collection cycle, and noise data corresponding to the preset durations are obtained.

External noise can be collected through a preset collection period, and power consumption can be reduced.

Referring to fig. 6, fig. 6 is a schematic structural diagram of a sleep noise detection apparatus according to a second embodiment of the present invention; the sleep noise detection apparatus shown in fig. 6 is further optimized based on the sleep noise detection apparatus shown in fig. 5, and the sleep noise detection apparatus shown in fig. 6 further includes:

a shutdown module 610, configured to shutdown the noise measurement module when the sleep flag indicates that the user is in a sleep state;

the saving module 620 is configured to obtain and save sleep data of a user, where the sleep data includes a time point of falling asleep, a sleep time period, and a time period of not falling asleep.

Further, the storage module 620 is further configured to not perform external noise measurement when the sleep flag indicates that the user is in the non-sleep state; and when the sleep flag bit indicates that the user is in the late sleep state, external noise measurement is not carried out, and the sleep data of the user is acquired and stored.

With reference to fig. 6, the sleep noise detection apparatus further includes:

the first communication module 630 is configured to, when the preset feedback cycle is satisfied, obtain all noise measurement results and sleep data of the user in a time period corresponding to the preset feedback cycle, and send the obtained results to the server, so that the server statistically analyzes all the noise measurement results and the sleep data of the user, and obtains a sleep state distribution map in the time period corresponding to the preset feedback cycle, where the sleep state distribution map indicates a correspondence relationship between a time point of falling asleep, a sleep time period, a time point of falling asleep late, a time point of not falling asleep, a sleep time period, a noise level, and an acoustic quality of a sleep environment.

By the device, the wearable device detects body movement data through the sleep monitoring function module, a sleep flag bit is obtained according to the body movement data, when the sleep flag bit indicates that the user is in a sleep state, noise data are collected through the noise measurement module according to a preset collection period, then the noise measurement result is obtained through analysis, then when the sleep flag bit indicates that the user is in an unhappy state, noise measurement is not conducted, when the sleep flag bit indicates that the user is in the sleep state, noise measurement is stopped, the noise measurement module is closed, the sleep data are stored, when the sleep flag bit indicates that the user is in a late sleep state, the sleep data are stored without noise measurement, then when the preset feedback period is reached, all the noise measurement result and the sleep data in the preset feedback period are fed back to the server, a sleep state distribution diagram is further generated by the server, and then the sleep data are sent to the mobile terminal bound to the wearable device, and the mobile terminal user can know the acoustic quality of the surrounding environment of the wearable device user during sleep.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a sleep noise detection apparatus according to a third embodiment of the present invention; the sleep noise detection apparatus shown in fig. 7 is optimized based on the sleep noise detection apparatus shown in fig. 5, and the sleep noise detection apparatus shown in fig. 7 further includes:

a second communication module 710, configured to send a notification message to the bound mobile terminal when the sleep flag bit is used to indicate that the user is in an asleep state, so as to notify the user that the user is not asleep;

the second communication module 710 is further configured to receive an operation instruction sent by the mobile terminal, where the operation instruction is used to instruct the wearable device to feed back the current location;

the first positioning module 720 is configured to, in response to the operation instruction, obtain, by a positioning apparatus, positioning information of the wearable device;

the second positioning module 730 is configured to, when the positioning information indicates that the wearable device is currently located in the specified building, obtain a position of the wearable device in the specified building based on an indoor navigation map corresponding to the specified building and prestored by the wearable device, and mark the position of the wearable device in the indoor navigation map;

the second communication module 710 is further configured to send the indoor navigation map with the marked location to the mobile terminal.

In the above apparatus, when the sleep flag indicates that the user is not asleep, for the mobile terminal, by responding to the notification message sent by the wearable device, and then further acquiring the specific location of the wearable device, to determine whether the wearable device is located in a specified building, to determine the safety of the wearable device, and further knowing the specific location of the user in the room, to further grasp the condition of the child.

Optionally, the apparatus may be disposed in a wearable device, and reference may be made to the above description for more.

Referring to fig. 8, fig. 8 is a schematic structural diagram of a wearable device disclosed in the embodiment of the present invention; the wearable device shown in fig. 8 may include:

a memory 801 in which executable program code is stored;

a processor 802 coupled with the memory 801;

the processor 802 calls the executable program code stored in the memory 801 to execute some or all of the steps of any one of the sleep noise detection methods in fig. 2 to 4.

An embodiment of the present invention further discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute a sleep noise detection method disclosed in fig. 2 to 4.

An embodiment of the present invention further discloses a computer program product, which, when running on a computer, causes the computer to execute part or all of the steps of any one of the methods disclosed in fig. 2 to 4.

An embodiment of the present invention further discloses an application publishing platform, where the application publishing platform is configured to publish a computer program product, where when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps of any one of the methods disclosed in fig. 2 to fig. 4.

It will be understood by those skilled in the art that all or part of the steps of the methods of the embodiments described above may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, including Read-Only Memory (ROM), random Access Memory (RAM), programmable Read-Only Memory (PROM), erasable Programmable Read-Only Memory (EPROM), one-time Programmable Read-Only Memory (OTPROM), electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM) or other Memory capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

The sleep noise detection method, the sleep noise detection device, the wearable device and the storage medium disclosed in the embodiments of the present invention are described in detail above, and a specific example is applied in the text to explain the principle and the implementation of the present invention, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A sleep noise detection method, comprising:

and analyzing the noise data to obtain a noise measurement result.

2. The method of claim 1, wherein the turning on a noise measurement module of the wearable device for external noise measurement when the sleep flag indicates that the user is asleep to obtain noise data comprises:

3. The method according to claim 1 or 2, characterized in that the method further comprises:

and when the sleep flag indicates that the user is in a sleep state, the noise measurement module is closed, and the sleep data of the user are acquired and stored, wherein the sleep data comprise a sleep-in time point, a sleep-out time point, a sleep time period and an un-sleep time period.

4. The method according to claim 1 or 2, characterized in that the method further comprises:

5. The method of claim 4, further comprising:

when a preset feedback cycle is met, all noise measurement results and sleep data of the user in a time period corresponding to the preset feedback cycle are obtained and sent to a server, so that the server can analyze all the noise measurement results and the sleep data of the user in a statistical mode to obtain a sleep state distribution diagram in the time period corresponding to the preset feedback cycle, and the sleep state distribution diagram indicates corresponding relations among a sleep-in time point, a sleep-out time point, a sleep time period, a late-sleep time point, a non-sleep time point, the sleep time period, noise levels and the acoustic quality of a sleep environment.

6. The method of claim 1, further comprising:

receiving an operation instruction sent by the mobile terminal, wherein the operation instruction is used for indicating the wearable equipment to feed back the current positioning;

responding to the operation instruction, and acquiring positioning information of the wearable device through a positioning device;

7. A sleep noise detection apparatus, comprising:

8. The apparatus according to claim 7, wherein the measurement module is configured to turn on a noise measurement module of the wearable device for external noise measurement when the sleep flag indicates that the user is in a sleep state, and the noise data is obtained by:

9. A wearable device, comprising:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to perform the sleep noise detection method of any one of claims 1 to 6.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.