KR20200129434A - Control system and method of IoT lighting device for lactation - Google Patents

Abstract

Disclosed is an Internet of things (IoT) lighting device control system. According to the present invention, the control system comprises: an IoT lighting device including a lamp, a sound detection unit, a posture detection unit, a biometric signal detection unit, and a sound output unit; a sleep state determination unit using audio data, posture data, and a biometric signal acquired in the IoT lighting device to determine a user′s sleep state; and a mode switching determination unit using a determination result of the sleep state determination unit to determine whether a set condition is satisfied and switching an operation mode of the IoT lighting device into a lactation lamp mode when the set condition is satisfied. Accordingly, the operation mode of the IoT lighting device can be automatically switched into the lactation lamp mode, a sleep lamp mode, and the like based on a monitoring result of a state of a guardian and a baby. Accordingly, from a guardian′s point of view, it is not required to operate a remote controller, a smartphone, and the like, thereby significantly increasing user convenience. Moreover, the state of the guardian and the baby are simultaneously monitored and the operation mode is automatically switched into the lactation mode at an optimal time based on a monitoring result, such that the sleep quality of the guardian is increased, thereby reducing childcare fatigue and minimizing disturbance during the baby′s sleep.

Description

Control system and method of IoT lighting device for lactation

The present invention relates to a control method of an IoT lighting device (mood light, ceiling light, etc.) installed in the house, and specifically, to a control system and method capable of automatically switching the operation mode of the IoT lighting device according to the state of the baby. About.

In general, babies need to be fed for about 1 year, and the number of feedings is 8 to 12 times a day at intervals of about 2 to 3 hours until 1 month of age, and 6 to 8 times a day at intervals of 3 to 4 hours until 2 months of age. , From 3 months of age, it is known to be about 5-6 times a day on average at 4-5 hour intervals.

However, there is a large difference in feeding amount and number of feedings for each baby, and there is also a difference in feeding intervals between breast milk and formula, so the feeding interval or frequency cannot be uniformly applied to all babies.

More important than counting the feeding interval or frequency is for the caregiver to pay attention to the baby and pinpoint the baby's feeding request signals.

However, from the standpoint of a guardian who has to wake up several times at night, it is not easy to watch the baby carefully at night because it is not always easy, and the reality is that only when the baby wakes up and cries or whispers, you have to wake up and breastfeed.

On the other hand, in order to breastfeed at night, the light must be turned on, but it is known that there is a high probability of becoming nearsighted when the eyes of infants are exposed to bright light for a long period of time, so recently, when breastfeeding, a feeding lamp with a low brightness and color temperature is used. The number of cases is increasing.

However, in the conventional nursing lamp, there was an inconvenience that the guardian who woke up from asleep had to wake up or stretch his arm to directly operate the switch. In order to improve this inconvenience, a feeding lamp that can be controlled with a remote control or a smartphone has been introduced, but the guardian still has the inconvenience of holding the remote control or a smartphone in his hand and inputting a command. In addition, a feeding lamp that can be controlled by voice has been introduced, but there is a disadvantage that the child may be surprised by the voice of the guardian or sleep sleep may be disturbed.

Registered Patent No. 10-1639670 (announced on July 15, 2016) Registered Patent No. 10-1940218 (announced on April 11, 2019)

The present invention is conceived from this background, and the user can automatically turn on/off without manipulating a remote control or a smartphone, and the IoT can automatically switch the operation mode to a nursing mode or a sleep mode according to the child's condition. Its purpose is to provide a lighting device.

In addition, by monitoring the condition of the baby and the guardian together and providing a wake-up alarm to the guardian at an appropriate time based on the monitoring results, the purpose of this is to improve the sleep quality of the guardian, reduce child-rearing fatigue, and minimize the sleep disturbance of the baby. There is this.

In order to achieve this object, an aspect of the present invention is an IoT lighting device including a lighting lamp, an acoustic detection unit, a posture detection unit, a biosignal detection unit, and an audio output unit; A sleep state determination unit that determines a sleep state of a person to be monitored using the acoustic data, posture data, and bio-signals acquired from the IoT lighting device; Control of an IoT lighting device including a mode switching determination unit that determines whether or not a set condition is satisfied using the determination result of the sleep state determination unit, and when the set condition is satisfied, the operation mode of the IoT lighting device is switched to a nursing lamp mode System.

In the control system according to an aspect of the present invention, the mode change determination unit, when the set feeding time has arrived, and the state of the guardian identified through the sleep state determination unit, is awake state, REM sleep state, non-REM sleep stage 1, non If it is any one of 2 REM sleep stages, and the state of the baby identified through the sleep state determination unit is any one of an awake state and a REM sleep (active sleep) state, it may be determined that the setting condition is satisfied. At this time, if the movement of the guardian is not detected in the sleep state determination unit during a set time after the operation mode of the IoT lighting device is switched to the nursing lamp mode, a feedback determination unit further outputs a predetermined wake-up alarm through the sound output unit. Can include.

In another aspect of the present invention, the IoT lighting device monitors the sleep state of a parent and a child while acquiring acoustic data, posture data, and biometric data; Determining a sleep state of a parent and a baby using at least one of the acoustic data, posture data, and biometric data, respectively; If the set nursing time has arrived, and the parental status is any one of awake, REM sleep, non-REM sleep stage 1, and non-REM sleep stage 2, and the baby's condition is either awake or REM sleep (active sleep) It provides a control method of an IoT lighting device comprising the step of switching the operation mode of the IoT lighting device to a nursing lamp mode.

In the control method, after the step of switching the operation mode of the IoT lighting device to the nursing lamp mode, checking whether the movement of the guardian is detected by the sleep state determination unit during a set time, and the movement of the guardian If this is not detected, the step of outputting a predetermined wake-up alarm through the sound output unit may be further included.

According to the present invention, it is possible to automatically switch the operation mode of the IoT lighting device to a nursing lamp mode, a sleeping lamp mode, etc. based on the result of monitoring the condition of the parent and the baby. Therefore, the guardian does not need to operate a remote control or a smartphone, so the convenience of use is greatly improved.

In addition, by monitoring the condition of the caregiver and the baby together and switching to the feeding light mode at the optimal time based on the monitoring results, the quality of the caregiver's sleep can be improved, reducing child-rearing fatigue and minimizing the sleep disturbance of the baby.

1 is a block diagram showing an IoT lighting device control system according to an embodiment of the present invention
2 is a functional block diagram of a program mounted in an IoT lighting device according to an embodiment of the present invention
3 is a block diagram showing an IoT lighting device control system according to another embodiment of the present invention
4 is a block diagram showing a monitoring device
5 is a diagram illustrating a configuration of an artificial neural network of a deep learning algorithm
6 is a flow chart showing a control method of the IoT lighting device according to an embodiment of the present invention

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings.

For reference, in the present specification, when one element is connected, combined, or communicated with another element, not only the case of direct connection, coupling, or communication with another element, but also another element in the middle This includes cases of indirect connection, association, or communication over and over.

In addition, when a certain part includes a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

IoT lighting apparatus 100 according to an embodiment of the present invention, as illustrated in the block diagram of FIG. 1, the processor 110, the memory 120, the communication unit 130, the lighting control unit 140, a lighting lamp ( 142), an acoustic detection unit 150, a posture detection unit 160, a biosignal detection unit 170, an audio output unit 180, a bus 190, and the like.

The processor 110 executes a computer program stored in the memory 120 to perform a predetermined operation or data processing. For example, the processor 110 analyzes the state or intention of the user using acoustic information, posture information, and bio-signal information detected by the acoustic detection unit 150, the attitude detection unit 160, and the biosignal detection unit 170, etc. , The lighting control unit 140, the sound output unit 180, and the like may be controlled according to the analysis result.

The memory 120 may store a computer program for the operation of the IoT lighting device 100. The computer program is a set of instructions executed by the processor 110 and may include an operating system, middleware, an application, or an application programming interface (API).

The memory 120 may include non-volatile memory (eg, flash memory, etc.) and volatile memory (eg, random access memory (RAM)) The computer program may be stored in the non-volatile memory and loaded into the volatile memory to be executed. .

In addition, the memory 120 may store data or commands generated by the processor 110, the communication unit 130, the lighting control unit 140, the sound detection unit 150, the posture detection unit 160, the biosignal detection unit 170, etc. .

The types of programs that can be stored in the memory 120 and executed by the processor 110 are not particularly limited. For example, as illustrated in the functional block diagram of FIG. 2, a sleep state determination unit 122, a mode change determination unit 124, a feedback determination unit 126, a statistical analysis unit 128, etc. may be included. .

The sleep state determination unit 122, the mode change determination unit 124, the feedback determination unit 126, and the statistical analysis unit 128 may each be independent software, or two or more may be included in one software.

Meanwhile, at least one of the sleep state determination unit 122, the mode change determination unit 124, the feedback determination unit 126, and the statistical analysis unit 128 may be implemented in the form of firmware or hardware.

Specific functions of the sleep state determination unit 122, the mode change determination unit 124, the feedback determination unit 126, and the statistical analysis unit 128 will be described later.

The communication unit 130 provides a communication interface between the IoT lighting apparatus 100 and other electronic devices according to an embodiment of the present invention. As shown in FIG. 3, the communication unit 130 of the IoT lighting apparatus 100 communicates with the gateway 200 and may be connected to the external communication network 300 through this.

The type of electronic device that can communicate with the IoT lighting device 100 is not particularly limited, and can communicate with other IoT lighting devices 100, other types of IoT devices, smartphones, tablets, home network devices, etc. without limitation. .

The communication unit 130 may support wireless communication or wired communication. The type of wireless communication is not particularly limited, and may include, for example, at least one of Wi-Fi, Zigbee, Bluetooth, near field communication (NFC), mobile communication, and RF communication. .

The lighting lamp 142 is preferably an LED, but is not limited thereto. In addition, the lighting lamp 142 is preferably capable of expressing two or more colors, such as a color LED, but is not limited thereto.

The lighting control unit 140 turns on or off the lighting 142 in response to a control signal transmitted from the processor 110, adjusts the brightness through dimming control, or changes the emission color. It plays a role to let.

The sound detection unit 150 is for detecting sound generated in the bedroom, and may include one or more microphones. When multiple microphones are used, a microphone sensitive to a high frequency band and a microphone sensitive to a low frequency band may be used together.

When two or more voices are simultaneously input, the sound detection unit 150 is preferably capable of discriminating whose voice is. This is because optimal feedback is possible if the voice detected by the sound detection unit 150 is the sound of a baby, the sound of a guardian (mother), or the sound of another person.

To this end, it is desirable to collect voice data of babies and guardians in advance and store their voice characteristic values through statistical analysis and voiceprint analysis, or to learn voice analysis methods through machine learning.

The posture detection unit 160 is for detecting the posture or movement of the person being monitored while sleeping, and takes an image of the subject at every set period (eg, 5 seconds, 10 seconds, etc.) using an infrared camera, and By analyzing the image, you can check the sleeping posture and the frequency of turning.

The sleeping posture of the monitored person may be detected in any one of a right posture, a prone posture, a right crouching posture, and a left crouching posture. For more precise analysis, you can further subdivide your sleeping position. For example, the correct posture can be further subdivided into a posture facing the ceiling, a posture with the head tilted to the right, and a posture with the head tilted to the left, or a posture with the head tilted to the right and the head tilted to the left. It can be further subdivided into posture, etc.

The frequency of the subject's tossing refers to the number of times the user's posture has changed during the set period (e.g., 10 minutes), and the less frequent the tossing is, the deeper the sleep is, and the more the tossing frequency is, the more it is that he is in shallow sleep or not asleep. have.

It is preferable that the posture detection unit 160 is capable of discriminating and determining each posture and movement when there are two or more persons in the area to be monitored. This is because by individually checking the degree of turnover of the baby and guardian, each sleep state can be judged more accurately, and through this, optimal feedback is possible.

The biological signal detection unit 170 is for detecting a biological signal of a subject to be monitored, for example, a Doppler radar capable of detecting biological signals such as respiration rate and heart rate in a non-contact manner in a state separated from the subject's body. Sensor, an Impulse Radio Ultra-WideBand (IR-UWB) radar sensor, and the like.

The biosignal detection unit 170 may analyze the infrared image image acquired by the posture detection unit 160 to determine the body temperature of the subject who is sleeping. At this time, it is also possible to determine whether the subject's body temperature is in the normal range, whether it is lower than normal, or higher than normal.

It is preferable that the bio-signal detection unit 170 independently detects each bio-signal when there are two or more persons in the area to be monitored. This is because, by individually checking the biological signals of the baby and guardian, each sleep state can be more accurately determined, and through this, optimal feedback is possible.

The sound output unit 180 includes a speaker that outputs a predetermined sound in response to a control signal transmitted from the processor 110. The output sound may be white noise such as rain, water, library sounds, etc., may be a wake-up alarm, a message for notification, a comment for a question, a warning sound, or other sounds. May be.

The bus 190 may be a circuit that connects the above-described components to each other and transmits an electrical signal.

Although not shown in the drawing, the IoT lighting apparatus 100 includes a power supply, and the power supply may include a battery, or may be connected to an external AC power or DC power supply.

In addition, the IoT lighting apparatus 100 may include input means such as buttons, keypads, and touch screens for the user to input commands or change settings. It may also include a voice input means for converting the voice input through the sound detector 150 into an input. Alternatively, a mobile terminal such as a user's smartphone may be used as an input means. In this case, when a user command is input through a dedicated application running on the mobile terminal, the input command is the communication unit of the IoT lighting device 100 in the mobile terminal. After being transmitted to 130, it may be executed by the processor 110.

Referring back to FIG. 2, the sleep state determination unit 122 uses sound information, posture information, and bio-signal information detected by the acoustic detection unit 150, the posture detection unit 160, and the biosignal detection unit 170. It plays a role of judging a person's sleep stage, physical condition, etc. in real time or periodically.

Surveillance targets may include everyone within the surveillance area (eg, bedroom). In an embodiment of the present invention, it is preferable to include both the baby and the guardian (mother) in the subject to be monitored.

In general, sleep in adults consists of rapid eye movement (REM) sleep and non-REM sleep, and REM sleep accounts for 20-25% of total sleep and non-REM sleep accounts for 75-80%. . In addition, non-REM sleep is divided into four stages, and it is known that the characteristics of brain waves are different for each stage. For example, theta activity (3.5-7.5Hz) appears in stage 1 sleep, theta wave, sleep spindle, and sharp waveform K complex appear in sleep stage 3, and sleep stage 3 A delta wave with a large amplitude (delta activity: 3.5Hz or less) appears in, and it is known that the delta wave increases by 50% or more in the fourth stage of sleep. Recently, non-REM sleep stages 3-4 are sometimes treated as the same stage. It is known that theta waves appear sporadically in the REM sleep stage.

Among these sleep stages of adults, REM sleep and non-REM sleep stages 1~2 can be classified as shallow sleep, and non-REM sleep stages 3~4 can be classified as deep sleep. In addition, it is known that waking up in a shallow sleep stage not only wakes up quickly but also causes less fatigue after waking up, and waking up in a deep sleep stage makes it difficult to wake up and has high fatigue after waking up.

Meanwhile, it is known that babies' sleep patterns are significantly different from those of adults. In other words, babies sleep for nearly twice as long as adults for about one year after birth, and are inactive sleep similar to non-REM sleep, active sleep, which is REM sleep, and intermediate stages. sleep) appears. In addition, during the first year of life, REM sleep accounts for about 50% of the total sleep time, and the cycle of non-REM sleep and REM sleep is about 50-60 minutes, which is much shorter than that of adults.

The sleep step may be determined directly by detecting the brain waves of the sleeping user, or may be determined indirectly using other biometric signals that can be measured in a non-contact manner.

In order to directly detect the user's EEG, an EEG sensor (not shown in the drawing) capable of measuring EEG is attached to the subject, and the EEG sensor and the communication unit 130 of the IoT lighting device 100 are connected by wire or wireless communication. You can connect with

The electroencephalogram sensor may be directly attached to the face or head of the person to be monitored, or may be installed on a wearing device such as an eye patch. If you have a sensor that can accurately measure brain waves in a non-contact way, you can use it.

There are statistical estimation methods and machine learning estimation methods for indirectly determining brain waves without measuring them directly.

In order to apply a statistical estimation method, data such as brain waves, other biological signals (respiration rate, heart rate, body temperature, etc.), posture information, and torsional frequency of a sleeping subject must be collected for a long period of time and then analyzed for correlation through statistical analysis.

Therefore, the IoT lighting apparatus 100 may detect biometric signal data such as the subject's posture, respiration rate, heart rate, and body temperature, and then extract brain waves having a high correlation therewith, and estimate the sleep stage based on this.

In order to apply the machine learning estimation method, it is necessary to perform a learning process to increase the accuracy of the output value of the sleep phase using a machine learning algorithm.

The kind of machine learning algorithm is not particularly limited. As an example, machine learning for sleep stage analysis may be performed using algorithms such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Random Forest. As another example, a machine for sleep analysis using deep learning algorithms based on artificial neural networks (ANNs) such as DNN (Deep Neural Network), CNN (convolutional Neural Network), and RNN (Recurrent Neural Network). You can also run.

Artificial Neural Network (ANN) of Deep Learning Algorithm As illustrated in FIG. 5, it has one or more hidden layers between the input layer and the output layer, and learning through the deep learning algorithm is performed by a node of an arbitrary first layer ( This is a process of optimizing the weights ([W]1,...[W]n) assigned between the neurons) and the nodes (neurons) of the second layer.

The deep learning algorithm applies the gradient reduction method, etc., based on the error between the output value of the output node and the target value at each learning cycle or at a set cycle, and each weight ([W]1,...[W] By updating n), the accuracy of the output value can be continuously improved.

In an embodiment of the present invention, sound data, posture data, respiratory rate data, heart rate data, body temperature data, etc. detected by the IoT lighting device 100 are input to each input node of the input layer, and the output node of the output layer is input. Sleep stages corresponding to the information can be output.

On the other hand, the mode switching determination unit 124 determines whether to switch the operation mode of the lighting lamp 142 of the IoT lighting apparatus 100 using the sound data acquired from the sound detection unit 150 or the determination result of the sleep state determination unit 122. Judge whether or not.

If the sound detection unit 150 detects sound while the light 142 is turned off or is turned on in the sleep light mode, the mode change determination unit 124 determines whether the detected sound data is baby sound and whether it is a target for mode change. When it is determined that the sound is a baby and is a target for mode conversion, the lighting control unit 140 may be controlled to switch the lighting lamp 142 to a nursing lamp mode.

If the baby's crying sound but the duration is shorter than the set time, the baby sound but the measured decibel is less than the reference value, etc. can be excluded from the mode change target.

When the lamp 142 is switched to the nursing lamp mode, if the lamp 142 is already turned on in the sleeping lamp mode, the lamp is switched to the nursing lamp mode with a brighter illumination, and if the lamp 142 is turned off, the lamp has an illumination and color temperature corresponding to the nursing lamp mode. 142).

In addition, when the light 142 is in the nursing light mode and the sleep state determination unit 122 determines that the baby is sleeping, the mode change determination unit 124 controls the lighting control unit 140 to operate the lighting light 142 You can switch the mode to a sleep lamp mode with much lower illumination or turn it off altogether.

The feedback determination unit 126 determines whether or not to give feedback to the person to be monitored by using the sound data obtained by the sound detection unit 150 or the determination result of the sleep state determination unit 122.

For example, the feedback determination unit 126 may determine whether a weather alarm condition is satisfied, and if it is satisfied, may output a weather alarm generation command through the sound output unit 180.

As described above, shallow sleep and deep sleep appear alternately during sleep.In general, it is known that waking up during shallow sleep can easily wake up, whereas waking up during deep sleep not only does not wake up, but also feels a lot of fatigue.

Therefore, if a wake-up alarm is generated during a shallow sleep stage such as REM sleep or non-REM sleep stage by monitoring the sleep status of the caregiver (mother) in real time or periodically, the caregiver can more easily wake up and reduce fatigue after waking up. This can greatly reduce parental fatigue.

In addition, when a baby needs to be awakened, the baby can wake up more easily if a wake-up alarm is generated during the REM sleep (active sleep) stage by continuously monitoring the baby's sleep state.

In order to generate a wake-up alarm in this manner, it is preferable that the user presets an alarmable period (eg, 06:30 to 07:30) through the IoT lighting device 100.

The feedback determination unit 126 or the mode change determination unit 124 acquires sleep stage information from the sleep state determination unit 122 for a set period to determine whether a wake-up alarm has occurred, and when the alarm condition is satisfied, the sound output unit 180 A set wake-up alarm may be generated through and the lighting control unit 140 may be controlled to turn on the lighting 142. When turning on the lighting lamp 142, it is preferable to have brightness corresponding to the nursing lamp mode through dimming control.

If the REM sleep or non-REM sleep stage 1~2 does not reach during the set alarm possible period, a wake-up alarm may be generated at the end of the set period.

If the baby and the guardian (mother) are sleeping together, the sleep stages of each person are separately analyzed, and a wake-up alarm can be generated only when a predetermined condition is satisfied.

To this end, each of the acoustic data, posture data, heart rate data, respiration data, etc. detected by the acoustic detection unit 150, the posture detection unit 160, and the biometric signal detection unit 170 are extracted to perform the sleep phase of the baby and the guardian (mother). It is desirable to determine whether the conditions are satisfied after each decision.

As an example, if only the guardian (mother) needs to be awakened to prepare for the morning, the feedback determining unit 126 may perform the sleep phase of the guardian (mother) after the set alarm period has reached a shallow sleep phase (eg, REM sleep, Non-REM sleep stage 1~2, etc.), and the baby's sleep stage is a deep sleep stage (e.g., inactive sleep or non-REM sleep stage 3~4, etc.).

In this way, the guardian (mother) is in a shallow sleep state, so it can get up relatively quickly, but it is possible to feel less fatigue in parenting, and a wake-up alarm occurs while the baby is asleep relatively deeply, greatly reducing the possibility of awakening the baby due to the wake-up alarm. have.

Meanwhile, the feedback determining unit 126 may generate a wake-up alarm through the sound output unit 180, and simultaneously or separately, may generate a wake-up alarm by flashing the lighting lamp 143 or increasing the illuminance.

As another example, when both the guardian (mother) and the baby are to be awakened for lactation, the feedback determining unit 126 or the mode switching determining unit 124 may have a shallow sleep after the set lactation time has arrived. Only in the case of stages (e.g., REM sleep, non-REM sleep stage 1~2, etc.) and the baby is also in a shallow sleep stage (e.g., active sleep), you can switch to the nursing lamp mode, turn on the nursing lamp, and generate a predetermined wake-up alarm. .

Meanwhile, the feedback determination unit 126 may output white noise such as rain or water sound through the sound output unit 180 when it is determined that the monitored person (guardian, baby, etc.) is not falling asleep and is turning.

In addition, the feedback determination unit 126, when it is determined that there is an abnormality in the biological signals (respiration rate, heart rate, body temperature, etc.) of the monitored person received from the sleep state determination unit 122, a warning sound through the sound output unit 180 Can occur. Alternatively, the lighting control unit 140 may be controlled to turn on the lighting lamp 142, or a warning sound may be generated and the lighting lamp 142 may be turned on through the IoT lighting device 100 installed in another bedroom or another house. In addition, emergency messages can be sent to the parents' smartphones or government offices registered in advance.

In addition, the feedback determination unit 126 may generate various types of feedback commands based on the sleep monitoring result.

The statistical analysis unit 128 collects data such as brain waves of the monitored person, other biological signals (respiration rate, heart rate, body temperature, etc.), posture information, and torsional frequency for a long time, and then performs various statistical analysis. For example, it is possible to analyze the correlation between other biological signals and brain waves. The data analyzed by the statistical analysis unit 128 may be stored in a separate DB.

The sleep state determination unit 122 detects bio-signal data such as posture, respiration rate, heart rate, and body temperature of the subject to be monitored, extracts brain waves having a high correlation therewith, and estimates the sleep stage of the subject to be monitored based on this. have.

In the above, it has been described that the IoT lighting device 100 installed in the house includes all of the sleep state determination unit 122, the mode change determination unit 124, the feedback determination unit 126, and the statistical analysis unit 128, but these At least one of the functions may be performed by another electronic device.

For example, as shown in FIGS. 3 and 4, a sleep state determination unit 422 in the monitoring device 400 communicating with the IoT lighting device 100 in the home through the gateway 200 and the external communication network 300, A mode change determination unit 424, a feedback determination unit 426, and a statistical analysis unit 428 may be provided.

In this case, the sound data, posture data, heart rate data, and respiratory rate data acquired from the IoT lighting device 100 are transmitted to the monitoring device 400 through the communication unit 130, and the sleep state installed in the monitoring device 400 The determination unit 422, the mode change determination unit 424, the feedback determination unit 426, and the statistical analysis unit 428 determine the sleep state of the subject to be monitored, whether the mode is switched, whether or not feedback, etc. using the received data. .

The mode change command and feedback command generated by the monitoring device 400 are transmitted to the IoT lighting device 100 and executed by the processor 110, the sound output unit 180, the lighting control unit 140, and the like.

The functions of the sleep state determination unit 422 installed in the monitoring device 400, the mode change determination unit 424, the feedback determination unit 426, and the statistical analysis unit 428 are provided in the above-described IoT lighting device 100 Since the functions of the state determination unit 122, the mode change determination unit 124, the feedback determination unit 126, and the statistical analysis unit 128 are the same, a description thereof will be omitted.

Only some of the sleep state determination unit 422, mode change determination unit 424, feedback determination unit 426, and statistical analysis unit 428 are installed in the monitoring device 400, and some are installed in the IoT lighting device 100. May be.

The monitoring device 400 may include a processor 410, a memory 420, a database 430, a communication unit 440, a bus 490, and the like, as illustrated in the block diagram of FIG. 4.

The sleep state determination unit 422, the mode change determination unit 424, the feedback determination unit 426, and the statistical analysis unit 428 may be programs stored in the memory 420 and executed by the processor 410. Unlike this, at least one of the sleep state determination unit 422, the mode change determination unit 424, the feedback determination unit 426, and the statistical analysis unit 428 may be implemented as firmware or hardware.

Hereinafter, a control method of the IoT lighting apparatus 100 according to an embodiment of the present invention will be described with reference to FIG. 6.

First, the operation mode of the IoT lighting device 100 is switched to a sleep monitoring mode.

The operation mode of the IoT lighting apparatus 100 may be switched to the sleep monitoring mode by inputting a mode switching command by the user, or may be automatically switched to the sleep monitoring mode when a predetermined condition is satisfied. For example, when a set time (eg, 23 o'clock) is automatically switched to a sleep monitoring mode, or when the lamp 142 is turned off or switched from a nursing light mode to a sleep light mode, the sleep monitoring mode may be automatically switched. (ST11)

After the IoT lighting device 100 is switched to the sleep monitoring mode, the acoustic data, posture data, heart rate data, respiration rate data, etc. are real-time through the acoustic detection unit 150, the posture detection unit 160, and the biosignal detection unit 170. Acquired as or periodically.

Then, it is continuously determined whether the sound detected through the sound detection unit 150 is the crying sound of the baby (ST12).

If it is confirmed that the crying sound of the baby is not detected in step ST12, the mode change determination unit 124 checks whether the feeding time set by the user has arrived, and if the feeding time has not arrived, repeats the above process and feeds. When the time comes, it is determined whether the mode change condition is satisfied.

The mode switching condition may be a specific sleep stage of the monitored person. For example, the mode change determining unit 126 is a parent (mother) is awake or in a shallow sleep stage such as REM sleep, non-REM sleep stage 1, non-REM sleep stage 2, etc., and the baby is awake or a shallow sleep such as REM sleep (active sleep). If it is in the stage, it can be determined that the mode change condition has been satisfied. However, since it is not limited thereto, in the case of a guardian (mother), only the REM sleep stage may be set as the mode switching condition, and the REM sleep or non-REM sleep stage 1 may be set as the mode switching condition. (ST13, ST14)

When it is determined that all of the mode switching conditions of ST14 are satisfied, the mode switching determination unit 124 switches the operation mode of the IoT lighting device 100 to a nursing lamp mode, and the lighting control unit 140 responds to this. The operation mode of 142) is switched from a sleeping lamp to a nursing lamp, or the turned off lamp 142 is turned on in a nursing lamp mode.

Even when it is confirmed that the crying sound of the baby is detected in step ST12, it is preferable that the mode change determination unit 124 switches the operation mode of the IoT lighting device 100 to a nursing lamp mode.

The mode change determination unit 124 may adjust the brightness and color temperature of the lamp 142 together when switching to the nursing lamp mode.

On the other hand, when the movement of the guardian is not detected even after the nursing lamp mode is switched, the guardian is tired and cannot wake up, so the feedback determination unit 126 may control the sound output unit 180 to output a predetermined wake-up alarm. . (ST15)

The mode change determination unit 124 continuously determines whether or not feeding is terminated after the mode is switched to the feeding lamp mode.

For example, if the parental's movement is detected after switching to the nursing lamp mode and the movement of the parental and child is not detected after the set time has elapsed, the mode switching determination unit 124 may determine that the lactation is complete. I can. (ST16)

When it is determined that lactation has ended, the mode change determination unit 124 switches the operation mode of the IoT lighting device 100 from a nursing lamp mode to a sleep lamp mode.

In response to this, the lighting control unit 140 switches the operation mode of the lighting lamp 142 from a nursing lamp to a sleeping lamp or turns off the lighting lamp 142. Subsequently, the IoT lighting device 100 monitors the sleep state of the person to be monitored while operating in the sleep monitoring mode (ST17).

In the above, a preferred embodiment of the present invention has been described, but the present invention is not limited to the above-described embodiment, but may be modified in various forms, and modified or modified embodiments are also disclosed in the claims to be described later. If the idea is included, it will be natural to belong to the scope of the present invention.

100: IoT lighting device 110: Processor 120: Memory
122: sleep state determination unit 124: mode change determination unit 126: feedback determination unit
128: statistical analysis unit 130: communication unit 140: lighting control unit
142: lighting lamp 150: sound detection unit 160: attitude detection unit
170: biological signal detection unit 180: sound output unit 190: bus
200: gateway (G/W) 300: communication network 400: monitoring device
410: processor 420: memory 422: sleep state determination unit
424: mode change judgment unit 426: feedback judgment unit 428: statistical analysis unit
430: DB 440: communication unit 490: bus

Claims (5)

IoT lighting device including a lighting lamp, an acoustic detection unit, a posture detection unit, a biosignal detection unit, and an audio output unit;
A sleep state determination unit that determines a sleep state of a person to be monitored using sound data, posture data, and bio-signals acquired from the IoT lighting device;
A mode switching determination unit that determines whether or not a set condition is satisfied using the determination result of the sleep state determination unit, and switches an operation mode of the IoT lighting device to a nursing lamp mode when the set condition is satisfied;
IoT lighting device control system including The method of claim 1, wherein the mode change determining unit,
The set feeding time has arrived,
The state of the guardian identified through the sleep state determination unit is any one of awake state, REM sleep state, non-REM sleep phase 1, and non-REM sleep phase 2,
If the state of the baby identified through the sleep state determination unit is any one of awake state and REM sleep (active sleep) state,
Control system of an IoT lighting device, characterized in that it is determined that the setting condition is satisfied The method of claim 2,
If the movement of the guardian is not detected in the sleep state determination unit during a set time after the operation mode of the IoT lighting device is switched to the nursing lamp mode, further comprising a feedback determination unit for outputting a predetermined wake-up alarm through the sound output unit IoT lighting device control system, characterized in that Obtaining acoustic data, posture data, and biometric data while the IoT lighting device monitors the sleep state of the parent and child;
Determining sleep states of a parent and a baby using at least one of the acoustic data, posture data, and biometric data, respectively;
If the set feeding time has arrived, and the parental status is any one of awake, REM sleep, non-REM sleep stage 1, and non-REM sleep stage 2, and the baby's condition is either awake or REM sleep (active sleep) Switching the operation mode of the IoT lighting device to the nursing lamp mode
IoT lighting device control method comprising a The method of claim 4,
After the step of switching the operation mode of the IoT lighting device to the nursing lamp mode,
Checking whether the movement of the guardian is detected by the sleep state determination unit during a set time; and
If the movement of the guardian is not detected, outputting a predetermined wake-up alarm through the sound output unit
Control method of an IoT lighting device, characterized in that it further comprises

Images