CN111459045A - Method for adaptively adjusting working state of Internet of things smart home product and reducing noise interference based on deep sleep - Google Patents
Method for adaptively adjusting working state of Internet of things smart home product and reducing noise interference based on deep sleep Download PDFInfo
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- G05B15/00—Systems controlled by a computer
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
According to the invention, the breathing sound emitted by the sleeper during breathing is processed in real time through the noise sensor to obtain the breathing cycle, the maximum noise amplitude value during inspiration and the maximum noise amplitude value during expiration of the sleeper. In a plurality of breathing cycles of the sleeper, the breathing cycle of the sleeper is obtained by subtracting the time points corresponding to the maximum noise amplitude values when the sleeper inhales or subtracting the time points corresponding to the maximum noise amplitude values when the sleeper exhales. In each respiratory cycle, setting a time interval corresponding to the maximum noise amplitude value which is more than 0.6 times as long as the optimal adjustment time; the time lengths of the multiple breathing cycles and the optimal adjustment time of the sleeper are averaged to predict the starting time and the time length of the next breathing cycle and the optimal adjustment time of the sleeper. The working state of the intelligent household product is adjusted within the optimal adjustment time period, so that the interference of excessive noise generated by the intelligent household product due to the change of the working state to a sleeper is reduced.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to a method for adaptively adjusting the working state of an Internet of things smart home product and reducing noise interference based on deep sleep.
Background
Sleep is divided into four stages.
Stage 1: in the sleep stage: the muscles relax and go into shallow sleep, the breathing and heartbeat gradually become slow, and the person is easy to wake up.
And (2) stage: and (3) during a light sleep stage: the breathing heartbeat is slower than that of the previous stage, the body temperature is slightly reduced, and the body movement is relatively active.
And (3) stage: and (3) a deep sleep stage: the breathing heartbeat becomes slower than the previous phase, the muscles relax, the body hardly moves, the brain is inactive, and there is no dream, and the phase of being awakened requires time for recovery.
The non-ocular movement/NREM phase includes: the falling asleep stage, the light sleep stage and the deep sleep stage.
After approximately 90 minutes of quiet sleep, the brain enters another sleep state: eye movement/REM phase.
And (4) stage: eye movement/REM phase: the brain activity is the same as that of the day, and the eyes move rapidly but the body hardly moves. The muscles in this stage are also more relaxed, blood pressure rises in the sleep stage rather than rapid eye movement, breathing is faster and irregular, body temperature and heart rate rise in the early stage, and muscle groups of the body part can slightly twitch.
A normal person is in the eye movement/REM phase about 25% of the night, and in the non-eye movement/NREM phase for the rest of the time.
The normal adult respiratory rate is 12-20 times per minute. During the night, when people go from the sleep stage to the light sleep stage and then to the deep sleep stage, the respiratory frequency of people gradually decreases, and the respiratory frequency is probably reduced from 14 breaths per minute to about 6 breaths per minute.
One breath is divided into three parts: the breathing mask is used for breathing out, breath holding and inhaling, and in the sleeping state, in the process of deep breathing out and deep inhaling, the air rubs with the respiratory tract of a human body to generate certain noise.
The research result shows that: the continuous noise can accelerate the rotation from sound sleep to light sleep, so that people are dreamful and the sound sleep time is shortened; sudden noise can awaken a person. Generally, a continuous noise of 40 db can affect l0% of people, and a noise of 70 db can affect 50% of people; and the sudden noise can wake up 40% of people at 40 decibels and wake up 70% of people at 60 decibels. The long-term sleep disturbance can cause insomnia, fatigue, weakness and memory deterioration, so as to generate neurasthenia syndrome and the like. In a high-noise environment, the incidence rate of the disease can reach more than 50-60%.
Without affecting work, study and entertainment, the volume and switching time of household appliances and other sound generating appliances, especially high frequency stereo sound, must be controlled below 70 db.
General measures for preventing noise pollution of home appliances in life are as follows.
Firstly, when the household appliance is purchased, the selection quality is good and the noise is low.
Secondly, it is not necessary to integrate the household appliances in one room, and the refrigerator is preferably not placed in a bedroom.
Secondly, the simultaneous use of various household appliances is avoided as much as possible.
Secondly, once a household appliance fails, it is removed in time, since the noise generated by a household appliance working with a disease is much larger than that of a normal machine.
The living mode of 'silent villas' is already developed abroad and is deeply popular with people, but China is still inexplicable in the situation of the country, so that the influence of noise generated by household appliances on the study and life of people can be reduced only by the mode.
In the prior art, internet companies such as Huashi and millet gradually build independent household products into a network in the field of smart homes, and systematic control is performed through intelligent voice householders or mobile phone WiFi (wireless fidelity) wireless communication. However, the intelligent home system control at the present stage is in a primary stage, and many detailed problems are not well treated. For example: during sleep, the noise reduction processing to the maximum degree is not carried out on the intelligent household product in the working state conversion process in the prior art.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention detects the breathing sound emitted by the sleeper during breathing in real time through the noise sensors, and processes the data acquired by the plurality of noise sensors through the main control unit to obtain the breathing cycle, the maximum noise amplitude value during inspiration and the maximum noise amplitude value during expiration of the sleeper. In a plurality of breathing cycles of the sleeper, the breathing cycle of the sleeper is obtained by subtracting the time points corresponding to the maximum noise amplitude values when the sleeper inhales or subtracting the time points corresponding to the maximum noise amplitude values when the sleeper exhales. In each respiratory cycle, setting a time interval corresponding to the maximum noise amplitude value greater than 0.6 time of inspiration as the optimal adjustment time of inspiration; setting a time interval corresponding to the maximum noise amplitude value larger than 0.6 time of expiration as the optimal adjustment time of expiration; the time lengths of the multiple breathing cycles and the optimal adjustment time of the sleeper are averaged to predict the starting time and the time length of the next breathing cycle and the optimal adjustment time of the sleeper. The working state of the intelligent household product is adjusted within the optimal adjustment time period, so that the interference of excessive noise generated by the intelligent household product due to the change of the working state to a sleeper is reduced.
The invention is realized by adopting the following technical scheme, and the method for adaptively adjusting the working state of the intelligent household product of the Internet of things and reducing noise interference based on deep sleep, which is designed according to the purpose, comprises the following steps: the device comprises a main control unit, a noise sensor and a wireless communication unit.
One respiratory cycle of a sleeper includes: one inhalation period, one exhalation period, two breath-hold periods.
One respiratory cycle of a sleeper experiences successively: inspiration time period, breath holding time period, expiration time period, breath holding time period.
The optimal adjustment time is as follows: in a breathing cycle, the sleeper has the minimum sensitivity to external environment noise, and the optimal time for adjusting the working state of the intelligent household product is obtained.
The optimal adjustment time includes two parts: an optimal adjustment time during inspiration and an optimal adjustment time during expiration.
The noise sensor detects breathing sound emitted by the sleeper when breathing in real time, and data collected by the plurality of noise sensors are processed by the main control unit to obtain the breathing cycle, the maximum noise amplitude value during inspiration and the maximum noise amplitude value during expiration of the sleeper.
When the sleeper is in the inspiration time period, the main control unit detects that the amplitude value of noise generated when the sleeper inhales through the noise sensor is gradually increased from small to large and then gradually decreased from large to small.
When the sleeper exhales in the expiration time period, the main control unit detects that the amplitude value of noise generated when the sleeper exhales through the noise sensor is gradually increased from small to large and then gradually decreased from large to small.
In a breathing cycle, the main control unit detects two noise amplitude peak values through the noise sensor, wherein the two noise amplitude peak values are a maximum noise amplitude value during inspiration and a maximum noise amplitude value during expiration respectively.
In a plurality of breathing cycles of the sleeper, the main control unit obtains the breathing cycle of the sleeper by subtracting the time points corresponding to the maximum noise amplitude values when the sleeper inhales or subtracting the time points corresponding to the maximum noise amplitude values when the sleeper exhales.
In each respiratory cycle, setting a time interval corresponding to the maximum noise amplitude value greater than 0.6 time of inspiration as the optimal adjustment time of inspiration; and setting the time interval corresponding to the maximum noise amplitude value when the time interval is larger than 0.6 time of expiration as the optimal adjustment time when the time interval is expired.
In each respiratory cycle, the time interval corresponding to the maximum noise amplitude value greater than 0.6 times of inspiration and the maximum noise amplitude value greater than 0.6 times of expiration is set as the optimal adjustment time.
In the sleep state, the breathing rhythm and the frequency of the sleeper are relatively stable, and the time length of a plurality of breathing cycles of the sleeper is averaged, so that the starting time and the time length of the next breathing cycle of the sleeper are predicted.
The start time and the time length of the optimal adjustment time in the multiple breathing cycles of the sleeper are recorded, so that the start time and the time length of the optimal adjustment time in the next breathing cycle of the sleeper are predicted.
The working state of the intelligent household product is adjusted within the optimal adjustment time period of the sleeper, so that the interference of excessive noise generated by the intelligent household product due to the change of the working state to the sleeper is reduced.
As the sleeper transitions from the sleep onset, light sleep phase to the deep sleep phase, the sleeper's breathing rate decreases gradually, perhaps from 14 breaths per minute to around 6 breaths per minute.
The optimal adjustment time length is in direct proportion to the breathing cycle of the sleeper.
The time lengths of the breathing cycle, the inspiration time period, the expiration time period and the breath holding time period of the sleeper are changed along with the sleep depth level and the breathing state of the sleeper, and the optimal adjustment time length of the sleeper during breathing is synchronously changed along with the change of the sleep depth level and the breathing state of the sleeper.
When the sleeper transits from the falling sleep stage and the light sleep stage to the deep sleep stage, the breathing cycle of the sleeper gradually becomes longer; the time lengths of the inspiration time period, the expiration time period, the breath holding time period and the optimal adjustment time of the sleeper become longer gradually.
When the sleeper transits from the deep sleep stage and the light sleep stage to the falling sleep stage, the breathing cycle of the sleeper is gradually shortened; the time lengths of the inhalation time period, the exhalation time period, the breath holding time period and the optimal adjustment time of the sleeper become gradually shorter.
Therefore, the starting time and the time length of the optimal adjustment time in the next breathing cycle of the sleeper are predicted by adaptively adjusting the optimal adjustment time in each breathing cycle of the sleeper. The working state of the intelligent household product is adjusted within the optimal adjustment time of each breathing cycle of the sleeper, so that the interference of excessive noise generated by the intelligent household product due to the change of the working state to the sleeper is reduced.
And controlling the switching of the on-off state of the intelligent household product in the optimal adjustment time period.
The method comprises the steps of automatically cutting continuous distance change, speed change and direction change of the intelligent household product into distance change, speed change and direction change of a plurality of short times according to the current optimal adjustment time.
The number of splits = time used for continuous distance change/optimal adjustment time.
Or the number of splits = time used for continuous speed change/optimal adjustment time.
Or the number of splits = time used for continuous direction change/optimal adjustment time.
And then, respectively starting and then closing the intelligent household products in the next optimal adjustment time periods, so that the continuous work of the intelligent household products is changed into discontinuous work.
The program flow of the invention in operation is as follows.
Step S11: the noise sensor detects breathing sound emitted by the sleeper when breathing in real time, and data collected by the plurality of noise sensors are processed by the main control unit to obtain the breathing cycle, the maximum noise amplitude value during inspiration and the maximum noise amplitude value during expiration of the sleeper.
Step S12: in a plurality of breathing cycles of the sleeper, the breathing cycle of the sleeper is obtained by subtracting the time points corresponding to the maximum noise amplitude values when the sleeper inhales or subtracting the time points corresponding to the maximum noise amplitude values when the sleeper exhales.
Step S13: in each respiratory cycle, setting a time interval corresponding to the maximum noise amplitude value greater than 0.6 time of inspiration as the optimal adjustment time of inspiration; and setting the time interval corresponding to the maximum noise amplitude value when the time interval is larger than 0.6 time of expiration as the optimal adjustment time when the time interval is expired.
Step S14: the time lengths of the multiple breathing cycles of the sleeper are averaged to predict the start time and the time length of the sleeper's next breathing cycle.
Step S15: the start time and the time length of the optimal adjustment time in the multiple breathing cycles of the sleeper are recorded, so that the start time and the time length of the optimal adjustment time in the next breathing cycle of the sleeper are predicted.
Step S16: when the sleep depth level and the breathing state of the sleeper are changed, the optimal adjustment time length is synchronously changed along with the change of the sleep depth level and the breathing state of the sleeper. And predicting the starting time and the time length of the optimal adjustment time in the next breathing period of the sleeper by adaptively adjusting the optimal adjustment time in each breathing period of the sleeper.
Step S17: the main control unit adjusts the working state of the intelligent household product within the optimal adjustment time of each breathing cycle of the sleeper through the wireless communication unit.
And controlling the switching of the on-off state of the intelligent household product in the optimal adjustment time period or automatically dividing the continuous distance change, speed change and direction change of the intelligent household product into a plurality of short-time distance change amounts, speed change amounts and direction change amounts according to the current optimal adjustment time.
The number of splits = time used for continuous distance change/optimal adjustment time.
Or the number of splits = time used for continuous speed change/optimal adjustment time.
Or the number of splits = time used for continuous direction change/optimal adjustment time.
Step S18: and respectively starting and then closing the intelligent household products in the following optimal adjustment time periods, so that the continuous work of the intelligent household products is changed into discontinuous work, and the interference of excessive noise generated by the intelligent household products due to the change of the working state on sleepers is reduced.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
FIG. 2 is a schematic diagram of waveforms according to the present invention.
FIG. 3 is a flowchart of the process of the present invention.
In fig. 2: t is a respiratory cycle.
MAX1 is the maximum noise amplitude value on inspiration and MAX2 is the maximum noise amplitude value on expiration.
P1 is the point in time corresponding to the maximum noise amplitude value at MAX1 inspiration.
P2 is the point in time corresponding to the maximum noise amplitude value at MAX2 exhalation.
0.6MAX1 is 0.6 times the maximum noise amplitude value during inspiration.
0.6MAX 2 is 0.6 times the maximum noise amplitude value at expiration.
The time periods V1-V2 between V1 and V2 are the optimum adjustment time during inspiration, which is 0.6 times the time interval corresponding to the maximum noise amplitude value during inspiration.
The time period V3-V4 between V3 and V4 is the optimum adjustment time during expiration, which is 0.6 times the time interval corresponding to the maximum noise amplitude value during expiration.
Detailed Description
The invention is further illustrated with reference to the accompanying drawings and specific examples.
A first embodiment.
As shown in fig. 1, 2 and 3, firstly, a plurality of noise sensors are embedded in the pillow, when a sleeper sleeps, the noise sensors detect breathing sounds emitted by the sleeper when breathing in real time, and data collected by the plurality of noise sensors are processed by the main control unit to obtain the T breathing cycle, the maximum noise amplitude value when MAX1 inhales and the maximum noise amplitude value when MAX2 exhales of the sleeper.
The T breathing cycle of the sleeper is obtained by subtracting the time point P1 corresponding to the maximum noise amplitude value when the MAX1 is inhaled adjacent or subtracting the time point P2 corresponding to the maximum noise amplitude value when the MAX2 is exhaled adjacent in a plurality of breathing cycles of the sleeper.
Setting a time interval V1-V2 corresponding to the maximum noise amplitude value when the patient inhales more than 0.6 times MAX1 as the optimal adjustment time when the patient inhales in a T breathing period; the time interval V3-V4 corresponding to the maximum noise amplitude value at expiration greater than 0.6 times MAX2 is set as the optimum adjustment time at expiration.
The time lengths of the multiple T-breathing cycles of the sleeper are averaged to predict the start time and the time length of the sleeper's next breathing cycle.
The start time and the time length of the optimal adjustment time in the T breathing cycles of the sleeper are recorded, so that the start time and the time length of the optimal adjustment time in the next breathing cycle of the sleeper are predicted.
And controlling the switching of the switch states of the intelligent household products within the optimal adjustment time V1-V2 and V3-V4. The main control unit transmits control pulse signals to the intelligent household products within the optimal adjustment time V1-V2 and V3-V4 of the sleeper through the wireless communication unit, so that the intelligent household products are powered off.
For example: and turning off the air conditioner, turning off the computer and turning off the fan within the optimal adjustment time period of the sleeper.
The change of the speed state of the fan during acceleration, deceleration and uniform speed is controlled in the optimal adjustment time V1-V2 and V3-V4.
And controlling the change of the speed state of the air purifier during acceleration, deceleration and uniform speed in the optimal adjustment time V1-V2 and V3-V4.
And controlling the process of the wind direction steering of the air conditioner air outlet within the optimal adjustment time V1-V2 and V3-V4.
The intelligent window shades control the process of opening and closing the window shades in the optimal adjustment time V1-V2 and V3-V4.
If the intelligent curtain needs 30 seconds to be completely opened originally, the intelligent curtain moves linearly at a constant speed and generates certain low-frequency noise in the process of opening the intelligent curtain.
According to the optimal adjustment time V1-V2 and the optimal adjustment time V3-V4 of the sleeper, the invention automatically divides the continuous linear movement of the intelligent curtain for 30 seconds into a plurality of intermittent movements in short time, such as: the breathing cycle of the sleeper at the moment is 10 seconds, the optimal adjusting time is 5 seconds, and the segmentation number is as follows: the intelligent curtain continuously moves for 30 seconds/the optimal adjustment time is 5 seconds = 6, then the intelligent curtain is started for 5 seconds and then closed in the next 6 optimal adjustment time periods of the sleeper, so that the continuous linear movement of the intelligent curtain for 30 seconds is automatically divided into 6 intermittent movements in a short time, and the intelligent curtain only moves in the time period in which the sleeper is least sensitive to the external environment noise, so that the noise interference to the sleeper is reduced.
Also, the invention can control the electronic alarm clock in the non-optimal adjustment time period so as to enhance the reminding of the sleeper.
Such as: in the non-optimal adjustment time period, the sensitivity degree of the sleeper to the external environment noise is maximum, so that the electronic alarm clock can be turned on in the non-optimal adjustment time period, the sleeper can hear the sound of the alarm clock clearly, and a better reminding effect is achieved for the sleeper.
Similarly, the solution provided by the invention is suitable for the learning process, and the working state of the intelligent household product is adjusted in the optimal adjustment time period of each breathing cycle of the learner, so that the interference of excessive noise generated by the intelligent household product due to the change of the working state to a sleeper is reduced.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention; all equivalent changes and modifications made according to the present invention are covered by the scope of the claims of the present invention.
Claims (3)
1. A method for adaptively adjusting the working state of an Internet of things smart home product and reducing noise interference based on deep sleep is characterized by comprising the following steps,
step S11: the noise sensor detects breathing sound emitted by the sleeper during breathing in real time, and data collected by the plurality of noise sensors are processed by the main control unit to obtain the breathing cycle, the maximum noise amplitude value during inspiration and the maximum noise amplitude value during expiration of the sleeper;
step S12: in a plurality of breathing cycles of the sleeper, obtaining the breathing cycle of the sleeper by subtracting the time points corresponding to the maximum noise amplitude values when the sleeper inhales or subtracting the time points corresponding to the maximum noise amplitude values when the sleeper exhales;
step S13: in each respiratory cycle, setting a time interval corresponding to the maximum noise amplitude value greater than 0.6 time of inspiration as the optimal adjustment time of inspiration; setting a time interval corresponding to the maximum noise amplitude value larger than 0.6 time of expiration as the optimal adjustment time of expiration;
step S14: averaging the time lengths of multiple breathing cycles of the sleeper so as to predict the starting time and the time length of the next breathing cycle of the sleeper;
step S15: recording the starting time and the time length of the optimal adjustment time in the multiple breathing cycles of the sleeper so as to predict the starting time and the time length of the optimal adjustment time in the next breathing cycle of the sleeper;
step S16: when the sleep depth level and the breathing state of the sleeper change, the optimal adjustment time length synchronously changes along with the change of the sleep depth level and the breathing state of the sleeper; predicting the starting time and the time length of the optimal adjustment time in the next breathing cycle of the sleeper by adaptively adjusting the optimal adjustment time in each breathing cycle of the sleeper;
step S17: the main control unit adjusts the working state of the intelligent household product within the optimal adjustment time of each breathing cycle of the sleeper through the wireless communication unit;
controlling the switching of the on-off state of the intelligent household product in the optimal adjustment time period or automatically dividing the continuous distance change, speed change and direction change of the intelligent household product into a plurality of short-time distance change amounts, speed change amounts and direction change amounts according to the current optimal adjustment time;
the number of splits = time used for continuous distance change/optimal adjustment time;
or the number of splits = time used for continuous speed change/optimal adjustment time;
or the number of splits = time used for continuous direction change/optimal adjustment time;
step S18: and then, respectively starting and then closing the intelligent household products in the next optimal adjustment time periods, so that the continuous work of the intelligent household products is changed into discontinuous work.
2. The method for adaptively adjusting the working state of an internet of things smart home product and reducing noise interference based on deep sleep according to claim 1, wherein the optimal adjustment time is as follows: in a breathing cycle, the sleeper has the minimum sensitivity to external environment noise, and the optimal time for adjusting the working state of the intelligent household product is set; the optimal adjustment time includes two parts: an optimal adjustment time during inspiration and an optimal adjustment time during expiration.
3. The method for adaptively adjusting the working state of an Internet of things smart home product and reducing noise interference based on deep sleep according to claim 1, wherein the optimal adjustment time length is in direct proportion to the breathing cycle of a sleeper.
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| CN202010359564.XA CN111459045A (en) | 2020-04-30 | 2020-04-30 | Method for adaptively adjusting working state of Internet of things smart home product and reducing noise interference based on deep sleep |
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| CN202010359564.XA CN111459045A (en) | 2020-04-30 | 2020-04-30 | Method for adaptively adjusting working state of Internet of things smart home product and reducing noise interference based on deep sleep |
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