JP5200614B2 - Air conditioning control system - Google Patents

Description

  The present invention relates to air conditioning control in a bedroom, and particularly relates to measures for performing comfortable air conditioning for a sleeping person.

  2. Description of the Related Art Conventionally, as an air conditioning control system for controlling air conditioning in a bedroom, a system in which a plurality of temperature sensors are provided on a bed and an air conditioner (air conditioning means) is controlled based on the temperature sensors is known.

For example, in the air-conditioning control system of Patent Document 1, a plurality of temperature sensors are arranged over both sides of the bed to detect the temperatures at a plurality of points on the bed. Then, the temperature distribution of the bed is derived from the temperature detected by each temperature sensor, and the sleeping position of the bedridden and the average temperature of the bed are obtained from this temperature distribution. The air conditioning control system controls the air conditioning capability of the air conditioner based on the surrounding environment of the sleeper obtained as described above. Thereby, in the air-conditioning control system of Patent Document 1, a comfortable sleeping environment is realized.
JP 2006-29669 A JP 2005-296117 A

  However, in the control of the air conditioner as in Patent Document 1, the air conditioner is controlled only from the temperature of the bed, and it may be unclear whether the sleeping person is sleeping comfortably. That is, since the comfortable temperature set in advance is average data of many people, the comfortable temperature felt by the sleeping person varies depending on individual differences. This is because comfortable sleep should be measured by the quality of sleep, such as the depth of sleep and the length of deep sleep, and the quality of sleep is not measured in a strict sense even if the temperature is measured. Therefore, even if the air conditioning control described above is performed, the sleeper may feel hot or cold due to individual differences, or the quality of sleep may be poor, and there is a possibility that the user may be awakened halfway or sleep a little.

  This invention is made | formed in view of this point, The objective is to provide the air-conditioning control system which can implement | achieve the sleeping environment where a sleeping person can sleep without depending on the individual difference of a sleeping person.

1st invention presupposes the air-conditioning control system which controls the air-conditioning capability of the air-conditioning means (10) which performs air conditioning of a bedroom. The air conditioning control system includes a sleep quality deriving unit (50) for deriving the sleep quality of the sleeper on the bed, and the air conditioning based on the sleep quality of the sleeper derived by the sleep quality deriving unit (50). Air-conditioning control means (45) for controlling the air-conditioning capacity of means (10), air-conditioning state detection means (26, 27) for detecting the air-conditioning state of the bedroom, and air-conditioning detected by the air-conditioning state detection means (26, 27) Database construction means (43) for constructing a database comprising time series data in which the state and sleep quality of the sleeping person derived by the sleep quality derivation means (50) are associated with each other, and construction by the database construction means (43) And an optimum air conditioning state deriving means (44) for comparing the time series data to obtain an optimum air conditioning state of the bedroom based on the database, and the optimum air conditioning state deriving means (44) is provided once. Divide sleep time into multiple, The optimum air conditioning state is obtained for each divided time, and the air conditioning control means (45) is arranged so that the air conditioning state of the bedroom approaches the optimum air conditioning state obtained by the optimum air conditioning state deriving means (44). It is characterized by controlling the air conditioning capacity of the air conditioning means (10). Here, the “sleep quality” indicates the sleep state of the sleeper on the bedding. For example, whether the patient is sleeping, awake, REM sleep, deep sleep, It means information about sleep of the sleeper, such as whether it is light sleep, whether it has fallen asleep immediately after entering the bed, or whether it has left the bed immediately after waking up. The “air-conditioning state” is a state of air in the bedroom that is air-conditioned by the air-conditioning means (10), and specifically means one or both of air temperature and humidity. The humidity referred to here may be absolute humidity or relative humidity.

  In the first invention, the sleep quality deriving means (50) derives the sleep quality of the sleeper. The air conditioning control means (45) controls the air conditioning capability of the air conditioning means (10) based on the sleep quality derived by the sleep quality deriving means (50). Thereby, in the bedroom, air conditioning is performed in consideration of the sleep quality of the sleeper. Therefore, for example, when the sleep quality derived by the sleep quality deriving means (50) is in a poor state, the sleeping environment of the sleeper is changed by changing the air conditioning capability of the air conditioning means (10) so as to improve the sleep quality. Becomes better. In addition, for example, when the sleep quality derived by the sleep quality deriving means (50) is in a good state, the sleeping environment of the sleeper is maintained well by maintaining the air conditioning capability of the air conditioning means (10). .

  The sleep quality is an index that changes according to individual differences. Therefore, by controlling the air conditioning capability of the air conditioning means (10) based on the sleep quality derived by the sleep quality deriving means (50), air conditioning control that takes into account such individual differences is performed. As a result, an optimal sleeping environment according to the sleeping person can be obtained.

  Then, the air conditioning state detection means (26, 27) detects the air conditioning state of the bedroom. The sleep quality deriving means (50) derives the sleep quality of the sleeping person. Then, the database construction means (43) constructs a database that associates the air conditioning state and sleep quality obtained in this way. Here, the sleep quality of the sleeping person depends on the sleeping environment, that is, the air conditioning state of the bedroom, and a predetermined relationship is established between the sleep quality and the air conditioning state. Therefore, by constructing such a database, it is possible to grasp the optimal sleeping environment (that is, the air-conditioning state) for improving the sleep quality of the sleeping person. The optimum air conditioning state deriving means (44) obtains the optimum air conditioning state for optimizing the sleep quality of the sleeper based on such a database. The air conditioning control means (45) controls the air conditioning means (10) so that the air conditioning state of the bedroom approaches the optimum air conditioning state. As a result, the sleeping environment of the sleeping person is kept good.

  Further, the relationship between the sleep quality and the air conditioning state in the database constructed by the database construction means (43) takes into account individual differences among sleeping persons. Therefore, by controlling the air conditioning capacity with the optimal air conditioning state calculated based on this database as a target, air conditioning control taking such individual differences into account is performed. As a result, an optimal sleeping environment according to the sleeping person can be obtained.

  Further, one sleep time is divided into a plurality of times, and an optimum air conditioning state is obtained for each divided time. As a result, it becomes possible to cope with an optimal air conditioning state that changes little by little during sleep, and the sleeping environment of the sleeping person is kept good.

  According to a second aspect of the present invention, in the air conditioning control system of the first aspect, the air conditioning state detection means (26, 27) is configured to detect both the temperature and humidity of the bedroom as the air conditioning state, and the optimum air conditioning The state deriving means (44) is configured to obtain the optimum temperature and humidity of the bedroom based on the database of the database construction means (43), and the air conditioning control means (45) is configured such that the temperature and humidity of the bedroom is the optimum. The air conditioning capability of the air conditioning means (10) is controlled so as to approach the temperature and humidity.

  In the second invention, the air conditioning state detection means (26, 27) detects the temperature and humidity of the bedroom. The sleep quality deriving means (50) derives the sleep quality of the sleeping person. Then, the database construction means (43) constructs a database that associates the detected temperature and humidity with the derived sleep quality. Here, since the sleep quality of the sleeper depends on both the temperature and humidity of the bedroom, a predetermined relationship is established between the sleep quality and the temperature and humidity. Therefore, by constructing such a database, it is possible to grasp the optimum temperature and humidity for improving the sleep quality of the sleeper. The optimum air conditioning state deriving means (44) obtains the optimum temperature and humidity for optimizing the sleep quality of the sleeping person based on such a database. The air conditioning control means (45) controls the air conditioning means (10) so that the temperature and humidity of the bedroom approaches this optimum temperature and humidity. As a result, the sleeping environment of the sleeping person is kept good.

  According to a third aspect of the present invention, in the air conditioning control system of the second aspect, the air conditioning state detecting means (26, 27) is configured to detect an air conditioning state in the vicinity of the bed. .

  In 3rd invention, an air-conditioning state detection means (26,27) detects the air-conditioning state in the vicinity of a sleeping person's bed. Here, the air-conditioning state near the bed of the sleeping person is most likely to affect the sleep quality of the sleeping person. Therefore, by using the relationship between the air-conditioning state detected by the air-conditioning state detection means (26, 27) and the sleep quality of the sleeping person, the optimum air-conditioning state is obtained and air-conditioning control is performed, so that the bedroom environment Can be controlled in a better state.

  A fourth aspect of the present invention is the air conditioning control system according to any one of the first to third aspects of the present invention, wherein the sleep quality derived by the sleep quality deriving means (50) is the sleep time, sleep awakening time of the sleeper, REM It is characterized by being at least one of sleep time and total sleep time. Here, “sleep time” is an index that represents the time from when a sleeping person first falls asleep on bedding until it finally wakes up. In addition, the “intermediate awakening time” is the time during which the sleeper is awakened during the time from when the sleeper first falls asleep on the bedding until the sleeper finally awakens (that is, the “sleep time”). It is an index that represents the sum. Furthermore, “REM sleep time” is an index that represents the total amount of time spent in the REM sleep state during sleep of the sleeper, and this REM sleep is the rapid eye movement of the sleeper. Observed sleep. In addition, the “total sleep time” means that the sleeper is substantially sleeping during the time from when the sleeper first falls asleep on the bedding until the sleeper finally wakes up (that is, the “sleep time”). It is an index that represents the total sum of time, and is obtained by subtracting “mid-wake time” from “sleep time”.

  In 4th invention, an air-conditioning state detection means (26,27) detects the air-conditioning state of a bedroom. Further, the sleep quality deriving means (50) calculates at least one index among the sleep time, the awakening time, the REM sleep time, and the total sleep time of the sleeper as the sleep quality of the sleeper. Here, the air conditioning state of the bedroom affects the sleep time, awakening time, REM sleep time, and total sleep time of the sleeping person. Specifically, for example, when the temperature of the bedroom is relatively high or low, the sleeper feels uncomfortable and the sleep time or total sleep time of the sleeper is shortened. Midway awakening time increases. Therefore, by changing the air conditioning capability of the bedroom based on these sleep qualities, the sleeping environment of the sleeping person can be controlled to an optimal air conditioning state.

  According to a fifth aspect of the present invention, in the air conditioning control system according to any one of the first to fourth aspects, the sleep time is divided into three parts, a first half, a middle stage, and a second half. In the first half, the temperature of the bedroom is monotonously adjusted. It is characterized by lowering. Here, monotonous means that the sign of the value obtained by differentiating the bedroom temperature with respect to time does not change.

  In 5th invention, sleep time is divided into 3 and the temperature of a bedroom is decreased monotonously in the first half. It has been found that body temperature gradually decreases upon falling asleep. Therefore, by simply lowering the temperature in the first half of sleep, the sleeping environment of the sleeping person can be controlled to a more optimal air conditioning state that matches the physiological phenomenon of the sleeping person.

  According to a sixth aspect of the present invention, in the air conditioning control system according to the fifth aspect, the optimum air conditioning state deriving means (44) obtains the amount of temperature decrease in the first half.

  In the sixth invention, the optimum air conditioning state deriving means (44) obtains and derives the amount of temperature decrease in the first half of sleep. Since there is an individual difference in the optimum amount of temperature decrease, the sleeping environment of the sleeper can be controlled to a more optimal air conditioning state suitable for each individual by obtaining the amount of temperature decrease in this way.

  According to a seventh aspect of the present invention, in the air conditioning control system of the fifth or sixth aspect, in the latter half, the temperature of the bedroom is monotonously increased.

  In 7th invention, the temperature of a bedroom is raised monotonously in the second half of sleep. It has been found that body temperature rises toward waking from the second half of sleep. Therefore, by raising the temperature monotonously in the second half of sleep, the sleeping environment of the sleeping person can be controlled to a more optimal air conditioning state that matches the physiological phenomenon of the sleeping person.

  According to an eighth aspect of the present invention, in the air conditioning control system of the seventh aspect, the optimum air conditioning state deriving means (44) obtains an increase in temperature in the latter half.

  In the eighth invention, the optimum air conditioning state deriving means (44) obtains and derives the temperature rise amount in the second half of sleep. Since there is an individual difference in the optimum amount of temperature rise, the sleeping environment of the sleeper can be controlled to a more optimal air conditioning state suitable for each individual by obtaining the amount of rise in temperature in this way.

  According to the present invention, the sleep quality of the sleeper is derived, and the air conditioning capability of the air conditioning means (10) is controlled based on the sleep quality, so that the difference in sleep quality due to the individual difference of the sleeper is taken into consideration. However, it is possible to obtain a bedroom environment that optimizes the sleep quality of the sleeping person.

  Then, a database that associates the air conditioning state of the bedroom with the sleep quality of the sleeping person is constructed, and the optimum air conditioning state of the bedroom is obtained based on this database. Therefore, the optimal air-conditioning state according to the individual difference can be reliably obtained from the database, so that an optimal bedroom environment can be obtained for a sleeping person.

In addition, since one sleep time is divided into a plurality of times, and the optimum air conditioning state is obtained for each divided time, it becomes possible to cope with the optimum air conditioning state that changes little by little during sleep. In the second aspect of the present invention, the database that detects both the temperature and humidity of air affecting the sleep quality of the sleeper and associates the temperature and humidity with the sleep quality And the air-conditioning means (10) is controlled so that the temperature and humidity of the bedroom become the optimum temperature and humidity obtained from this database. Therefore, the temperature and humidity environment in the bedroom becomes optimal, and the sleep quality of the sleeping person can be greatly improved.

  In the third aspect of the invention, the air conditioning state detecting means (26, 27) detects the air conditioning state in the vicinity of the bed, so that the temperature and humidity around the sleeping person are surely optimized and the sleeping person is surely optimized. Can greatly improve sleep quality.

  In the fourth aspect of the invention, at least one of the sleeping time, sleep awakening time, REM sleeping time, and total sleeping time of the sleeping person is used as the sleeping quality of the sleeping person. Therefore, the sleep quality of the sleeping person can be easily obtained by a relatively simple index, and air conditioning control for improving the sleep quality can be performed.

  Further, in the fifth invention, the bedroom temperature is monotonously decreased in the first half of the sleep time divided into three, and in the seventh invention, the bedroom temperature is monotonously increased in the second half of the sleep time divided into three. The sleeping environment of the sleeping person can be controlled to a more optimal air conditioning state that matches the physiological phenomenon of the sleeping person.

  Further, in the sixth invention, the optimum air conditioning state deriving means (44) calculates the amount of decrease in temperature in the first half of sleep, and in the eighth invention, the optimum air conditioning state deriving means (44) is in the second half of sleep. By determining the amount of increase in temperature, the sleeping environment of the sleeping person can be controlled to a more optimal air conditioning state suitable for each individual.

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

(Embodiment 1)
The air conditioning control system (1) according to the first embodiment controls the air conditioner (10) installed in the bedroom (5).

  As shown in FIG. 1, the air conditioner (10) is constituted by, for example, a wall-mounted air conditioner. The air conditioner (10) includes a refrigerant circuit that circulates refrigerant to perform a refrigeration cycle, and supplies air cooled or heated by the refrigerant in a heat exchanger (not shown) to the bedroom (5). In addition, the air conditioner (10) includes humidity control means (not shown) for adjusting the humidity of the air. The humidity control means is constituted by, for example, a desiccant rotor on which an adsorbent that adsorbs and desorbs moisture in air, a humidifier that sprays moisture toward air, and the like. The humidity control means may be configured to dehumidify the air by condensing water vapor in the air by setting the temperature of the refrigerant in the heat exchanger to a dew point temperature or lower. As described above, the air conditioner (10) is configured to adjust the temperature of the air and the humidity of the air, and constitutes an air conditioning unit that performs air conditioning of the bedroom (5).

  As shown in FIGS. 1 and 2, the air conditioning control system (1) includes a body motion sensor (20), a temperature sensor (26), a humidity sensor (27), and a main body (30).

  The body motion sensor (20) is for detecting a body motion that occurs from a sleeper on a bed (6) such as a bed or a futon in the bedroom (5). That is, the body motion sensor (20) constitutes body motion detection means for detecting the body motion of the sleeping person as a body motion signal. The body motion sensor (20) is made of a tube-like member, and is configured to detect a pressure applied from the outside and transmit it to the main body (30). That is, the body motion sensor (20) includes a pressure sensing part (21) for detecting a vibration associated with the body movement of a sleeping person as a pressure fluctuation, and a pressure transmission for transmitting the pressure fluctuation to the main body part (30). Part (22).

  The pressure-sensitive part (21) is constituted by an elongated and hollow tube, and is laid under a mat or a mattress of the bedding (6). Moreover, the pressure transmission part (22) is also comprised by the hollow tube similarly to the pressure sensitive part (21), and is connected with the pressure sensitive part (21) via the connection part (23). Moreover, the pressure sensitive part (21) is formed in a larger diameter than the pressure transmission part (22). When a sleeping person lies down on the bedding (6), the pressure and vibration accompanying the body movement of the sleeping person are transmitted to the pressure sensing part (21), and the internal pressure of the pressure sensing part (21) is transmitted to the pressure transmitting part (22). It acts on the pressure receiving part (31) of the main body part (30).

  The pressure receiving part (31) is embedded in the box-shaped main body part (30). The pressure receiving part (31) has an attachment part (32) into which the end part on the opposite side of the connection part (23) in the pressure transmission part (22) is fitted. The mounting portion (32) is formed in a substantially annular shape and is recessed inwardly, and the fitting portion (32) protrudes into the recess (32a) and is fitted into the end of the pressure transmission portion (22). And a convex portion (32b). A through hole (32c) is formed in the convex part (32b), and the internal pressure generated in the pressure sensitive part (21) is transmitted to the pressure receiving part (31) through the through hole (32c).

  Further, the pressure receiving part (31) has a pressure receiving sensor (33) therein. The pressure receiving sensor (33) includes a microphone, a pressure sensor, and the like. The pressure receiving sensor (33) is configured to receive the internal pressure generated in the pressure sensing part (21), change the internal pressure into a voltage, and output it as a signal to the circuit unit (40) in the main body part (30). ing.

  The temperature sensor (26) and the humidity sensor (27) are both provided on the bedding (6). The temperature sensor (26) detects the temperature of air near the bed, and the humidity sensor (27) detects the humidity (relative humidity or absolute humidity) of the air near the bed. That is, the temperature sensor (26) and the humidity sensor (27) constitute air condition detecting means for detecting the air condition near the bed in the bedroom (5). Further, the temperature sensor (26) and the humidity sensor (27) are connected to the main body (30) via the lead wire (28). Detection signals from the temperature sensor (26) and the humidity sensor (27) are output to the circuit unit (40) in the main body (30) via the lead wire (28).

  As shown in FIG. 3, the circuit unit (40) includes a signal processing means (41), a sleep quality derivation means (50), a storage means (42), a database construction means (43), and an optimum control target value derivation means (44). ), Air conditioning control means (45), and initial target value setting means (46).

  The signal processing means (41) modulates the body motion signal output from the body motion sensor (20) into a predetermined signal.

  The sleep quality deriving means (50) derives an index representing the sleep quality of the sleeper based on the signal modulated by the signal processing means (41). The sleep quality deriving means (50) includes a bed leaving determination means (51), a sleep / wake determination means (52), a sleep depth determination means (53), and a REM sleep determination means (54).

  The bed leaving determination means (51) is for determining whether the bedridden is in the bedded state (6) or in the bed leaving state. The determination by the bed leaving determination unit (51) is performed by comparing the body motion signal modulated by the signal processing unit (41) with a predetermined bed leaving determination threshold value. Specifically, when the body motion signal continues for a predetermined time or longer and exceeds the bed leaving determination threshold, it is considered that body motion has occurred from the sleeper. In this case, the bed leaving determining means (51) Is determined. On the other hand, when the body motion signal falls below the bed leaving determination threshold, it is considered that no body movement has occurred from the sleeper, and in this case, the bed leaving determining means (51) determines “bed out”.

  Further, the bed leaving determination means (51) is configured to change the time from the “bed-out” state to the “bed-in” state (that is, the time of entry) and the time from the “bed-in” state to the “bed-out” state (ie, Departure time is derived. Furthermore, the bed leaving determination means (51) derives the time from the bed entry time to the bed leaving time as the “total bedtime”. That is, the “total bedtime” is the time from when a sleeping person enters the bedding at night or the like until he / she leaves the bedding in the morning or the like.

  The sleep / wake determination means (52) determines whether the sleeper is in a sleep state or an awake state in a state where the sleeper is determined to be “in bed”. The determination by the sleep / wake determination means (52) is performed by comparing the body motion signal modulated by the signal processing means (41) with a predetermined sleep determination threshold value. Specifically, when the body motion signal continues for a predetermined time or longer and exceeds the sleep determination threshold, the bedridden in bed is awakened, and it is considered that coarse movement is occurring from the bedtime. In this case, the sleep / wake determination means (52) determines “wake up”. On the other hand, if the body motion signal falls below the sleep determination threshold, the sleeper in bed is sleeping and it is considered that only a slight motion is occurring from the sleeper. In this case, sleep / wake The determination means (52) determines “sleep”.

  Further, the sleep / wake determination means (52) derives the sleep time of the sleeper as the sleep time in the state where the sleeper is determined to be “in bed”. This sleep time is the time when the sleeping person first fell asleep after going to bed, and is different from the time when he woke up temporarily during sleep (ie, awakened halfway) and then fell asleep. is there. This sleep time is, for example, when the sleeping person's state first shifts from “awakening” to “sleeping” after the sleeping person is determined to be “in bed”, and this “sleeping state” continues for a predetermined time or more. The time of transition to “sleep” is used.

  The sleep / wake determination means (52) derives the time when the sleeper woke up in the state where the sleeper is determined to be “in bed” as the sleep time. This awakening time is the time when the sleeping person woke up just before waking up in the morning, for example, and is different from the temporary awakening time during sleep. As the awakening time, for example, the time when the transition from “sleeping” to “wakening” is performed immediately before the time when transitioning from “being in bed” to “leaving” is used.

  The sleep / wakefulness determining means (52) derives the “sleeping time” and the “halfway awakening time” as follows. First, the “sleep time” is derived by obtaining the time from the “sleep time” to the “wake time”. That is, the “sleep time” indicates the time from when the sleeping person first falls asleep on the bedding until it finally wakes up. Further, the “intermediate awakening time” is derived by obtaining the sum of the times when the sleeping person is determined to be “awakening” between the “sleeping time” and the “wakening time”. That is, the “halfway awakening time” indicates the cumulative time of the time when the sleeping person awakened during the “sleeping time”.

  In the state where the sleeper is determined to be “sleep”, the sleep depth determination means (53) is in a state where the sleep of the sleeper is deep sleep (so-called slow wave sleep) or shallow sleep (so-called sleep stage 1). ) State. The sleep depth determination means (53), for example, determines that a sleeper who has been determined to be "sleep" for more than a predetermined time (for example, 30 minutes) is considered to have deep sleep and is determined to be "deep sleep" Otherwise, it is determined that the sleep is shallow, and “shallow sleep” is determined. Then, the sleep depth determination means (53) derives the sum of the times determined as “deep sleep” from the sleep time to the awake time as “slow wave sleep time”, and “shallow sleep” The total of the times determined to be is derived as “light sleep time”.

  The REM sleep determination means (54) determines whether or not the sleeper is in a REM (rapid eye movement) sleep state in a state where the sleeper is determined to be “sleep”. The determination by the REM sleep determination means (54) is performed based on, for example, a sleeper's heartbeat signal extracted from the body motion signal. Specifically, for example, the body motion signal is subjected to a heart rate band filter (eg, 1.4 Hz ± 0.6 Hz) to extract a sleeper's heartbeat signal, and the heartbeat variation of the sleeper (standard) from the heartbeat signal. Deviation). Here, when the sleeping person is in the REM sleeping state, the variation in the heart rate of the sleeping person becomes large. Therefore, when the standard deviation exceeds a predetermined value, the sleeping person is “REM sleeping”. judge. Then, the REM sleep determination means (54) derives the total time determined as “REM sleep” as “REM sleep time” between the sleep time and the awakening time.

  The storage means (42) includes the body motion signal detected by the body motion sensor (20), the temperature in the bed detected by the temperature sensor (26), and the humidity in the bed detected by the humidity sensor (27). It is memorized and accumulated as time series data. Further, the sleep quality of the sleeping person derived by the sleep quality deriving means (50) is also stored in the storage means (42). Specifically, in the present embodiment, as the sleep quality, the “midway awakening time”, “slow wave sleep time”, “shallow sleep time”, and “REM sleep time” are stored in the storage means (42). .

  The database construction means (43) constructs a database that associates the air conditioning state (temperature / humidity state) of the bedroom (5) with the sleep quality of the sleeper based on the data stored in the storage means (42). . Specifically, the database construction means (43) wakes up after the sleeper falls asleep, for example, based on time-series data regarding the temperature and humidity in the bed detected by the temperature sensor (26) and the humidity sensor (27). The average temperature and humidity in the bed during this period is obtained. At the same time, the database construction means (43) reads the sleeper's “midway awakening time”, “slow wave sleep time”, “shallow sleep time”, and “REM sleep time” corresponding to this bedtime. We will build a database that shows how temperature and humidity affect sleep quality.

  The optimum control target value deriving means (44) is based on the database constructed by the database constructing means (43), and is in an optimum air conditioning state (temperature / humidity in the bedroom or bed) for improving the sleep quality of the sleeper. ) For calculating the optimum air conditioning state. Specifically, the optimum control target value deriving means (44) calculates a target temperature and a target humidity which are control targets for the air conditioner (10) based on the database. The steepest descent method is used for this calculation.

Specifically, when the air conditioning state (at least one of temperature and humidity) is Xk and the sleep quality corresponding to the air conditioning state is f (Xk), Formula 1 using the steepest descent method
Xk + 1 = Xk- [alpha] {(f (Xk) -f (Xk-1)) / (Xk-Xk-1)}, [alpha] is an update coefficient (Equation 1)
To obtain the optimum air conditioning state. Here, k represents the number of data of the air conditioning state (for example, the average temperature and humidity in the bed) stored in the database. For example, when k = c, the system according to this embodiment is specified. It represents that a sleeping person is sleeping c times (c days). Further, f (Xk) represents the sleep quality when the air-conditioning state is Xk, and does not need to be known as an expression using Xk, and is a database of the air-conditioning state Xk and the sleep quality corresponding thereto. It may be represented by something like In addition, if the target air conditioning state at the time of the initial operation is set by the initial target value setting means (46) described later, k = 0 is set. At this time, X1 is set by the initial target value setting means (46), but X2 cannot be calculated from Equation 1 because there is no X0, so X2 = X1 without applying Equation 1 during the second operation. Measure f (X2) and apply Equation 1 from the third time on.

  The steepest descent method is a method of finding the gradient of the target function and updating the variable in the opposite direction of the gradient to derive the function value to the maximum or minimum value. In the case of having only one, only the slope (gradient) is seen, so it is simple and the calculation can be performed quickly. Since what can be used as sleep quality is considered to be a function having only one maximum value or minimum value when the air-conditioning state is a variable (for example, FIGS. 8 to 11), the steepest descent method searches for an optimum value. Available as a method.

  The update coefficient α is a coefficient that is multiplied by the gradient of f (Xk) when Xk is updated. If α is a large value, Xk is greatly changed from the previous value Xk−1 and updated. Therefore, when Xk is a value far from the optimum value, it approaches the optimum value quickly. Convergence is difficult and stable convergence is difficult. On the other hand, when α is a small value, the speed at which Xk approaches the optimum value is reduced, but it tends to converge stably to the optimum value. Therefore, in this embodiment, as k increases, α is set to be replaced with a smaller value. As a result, when k, which is considered to be a large deviation from the optimal air conditioning state, is set, the air conditioning state approaches the optimal air conditioning state early and the set air conditioning state is close to the optimal air conditioning state. If k, which is considered to be present, is large, the optimum air conditioning state is stably approached. However, when k increases to some extent, α preferably converges to a constant value. When k = 0, α is set to the initial value α1, and when k> 0, α is set to a value smaller than α1. That is, k = 0 means that the target air-conditioning state at the time of the initial operation is set as will be described later. Therefore, this air-conditioning state is highly likely to deviate from the optimum air-conditioning state, and α is a large value. By substituting the initial value α1, the optimum air conditioning state can be quickly approached.

  Furthermore, in this embodiment, one sleep time is divided into a plurality of times, and the optimum air conditioning state deriving means (44) derives the optimum air conditioning state for each divided time. During a single sleep, the sleeper experiences a change in body temperature, a periodic appearance of REM sleep and NONREM sleep. Since there are individual differences in such body temperature changes and REM / NONREM cycles, the sleep time of a sleeper is divided into a plurality of times as in the present embodiment, and the optimal for each divided time. By deriving the air-conditioning state, it is possible to perform optimal air-conditioning control through each person's overnight sleep.

  Specifically, each sleep time is divided into three, and a database of sleep quality and air conditioning status of the sleeper is created for each divided time, and each sleep time is divided by applying the above steepest descent method. The optimal air conditioning condition is derived every time. The method described in Patent Document 2 is preferable as a method of dividing the sleep time. For example, the first half of the time from sleep onset until the second REM sleep state appears, the first half of the scheduled wake-up time as the second half, and the middle of the period. The control switching between the first half and the middle board utilizes the determination of the REM sleep determination means (54). Switching between the middle and the latter half is performed one hour before the scheduled wake-up time by setting the wake-up time in advance.

  The air conditioning control means (45) outputs a signal relating to the control target to the air conditioner (10), so that the air conditioning capacity of the air conditioner (10) is such that the temperature and humidity in the bed approaches the target temperature and the target humidity. (Temperature control ability and humidity control ability) are controlled. This signal is, for example, transmitted as a radio signal to the air conditioner (10) wirelessly.

  The initial target value setting means (46) is for setting the target temperature and target humidity of the air conditioner (10) during the initial operation of the air conditioning control system (1). That is, in the first operation of the air conditioning control system (1), since the database has not yet been constructed in the database construction means (43), the optimum control target value deriving means (44) is the target of the air conditioner (10). The temperature and target humidity cannot be determined. Therefore, the initial target value setting means (46) is manually set with the target temperature and target humidity during the initial operation, and the target temperature and target humidity are sent to the air conditioner (10) by the air conditioning control means (45). It is done. Similarly, the target temperature and target humidity during the initial operation are sent to the optimum control target value deriving means (44), and the update coefficient α is replaced with the initial value α1. In the first driving, it may be considered that the sleeping person changes to another person.

-Operation of air conditioning control system-
The operation of the air conditioner (10) by the air conditioning control system (1) will be described in more detail with reference to FIGS.

  In the air conditioning control system (1), the air conditioner (10) is continuously operated at bedtime. During the first operation of the air conditioner (10) at bedtime, the air conditioner (10) is operated with the target temperature and target humidity set in the initial target value setting means (46) as control targets. The air conditioning control system (1) derives the air conditioning status of the bedroom (5) and the sleep quality of the sleeper every time the sleeper wakes up to the next morning (hereinafter referred to as the sleep period). The relationship between the air-conditioning state and the sleep quality of the sleeping person is constructed and updated by the database construction means (43).

  Specifically, during the sleeping period, the temperature in the bed is detected by the temperature sensor (26), and at the same time, the humidity in the bed is detected by the humidity sensor (27) (step S1). The storage means (42) stores the detected temperature and the detected humidity every moment. Further, during this sleeping period, the body motion of the sleeping person in the bed is detected by the body motion sensor (20). And these body movement signals are memorize | stored in a memory | storage means (42) every moment. Further, the sleep quality deriving means (50), based on the body motion signal during the sleeping period, sleep quality of the sleeping person during the sleeping period, that is, "midway awakening time", "slow wave sleep time", "shallowness" “Sleep time” and “REM sleep time” are derived (step S2).

  Next, the database construction means (43) divides the sleeping period into three, and constructs a database in which the temperature and humidity in the bed in each of the first half, the middle stage, and the second half of the same sleeping period are associated with the sleep quality of the sleeping person. . Specifically, in the database, when the average temperature during the sleeping period is, for example, 29 ° C. and the average humidity is 50%, the awakening time during the sleeping period in this temperature and humidity state, How many minutes each of the slow wave sleep time, the shallow sleep time, and the REM sleep time is accumulated as a set of data. That is, the database construction means (43) sets temperature / humidity data for a predetermined sleeping period and sleep quality data for the same sleeping period as a set of data, and adds this set of data to the database for each sleeping period. In this manner, updating is performed (step S3).

  The optimal control target value deriving means (44) uses the above-mentioned steepest descent method formula based on the database constructed in this way, and the target temperature of the bedroom (in the bed) at each of the three divided sleep times. And obtain the target humidity. In other words, the optimal control target value deriving means (44) derives the sleep quality data stored in the database at each divided time and has the best sleep quality, and the temperature and humidity corresponding to the sleep quality data Data is derived as the target temperature and target humidity (step S4).

  Next, when the sleeping person goes to bed next time, the target temperature and the target humidity are updated (step S5). That is, in the above-mentioned steepest descent method, k is replaced with k + 1 to calculate and update the target temperature and target humidity.

  For example, FIG. 5 is a graph showing the relationship between the temperature and humidity in the bed for each sleeping period and the sleep quality in the same sleeping period. In this example, in a sleeping environment at a temperature of 29 ° C. and a relative humidity of 50%, the awakening time and the shallow sleep time are short, and the REM sleeping time and the slow wave sleeping time are longer than those in other sleeping conditions. ing. That is, in the example of FIG. 5, it can be considered that the sleeper is most sleepy in an air state at a temperature of 29 ° C. and a relative humidity of 50%, and this air state is an optimal air state for the sleeper. . Therefore, the optimum control target value deriving means (44) derives the target temperature as 29 ° C. and the target humidity as 50%.

  Next, the air conditioning control means (45) outputs the target temperature and target humidity thus obtained as signals to the air conditioner (10). As a result, the target humidity and target temperature of the air conditioner (10) are updated. In the operation of the air conditioner (10) during the next bedtime, the air conditioning capacity of the air conditioner (10) is such that the temperature and humidity in the bed approaches the updated target temperature and humidity (eg, 29 ° C., 50%). Adjusted. As a result, the air condition in the bed is maintained in an optimal air-conditioning state that improves the sleep quality of the sleeper, so that the sleeping environment is maintained well.

-Effect of Embodiment 1-
In this embodiment, the sleep quality of the sleeping person derived by the sleep quality deriving means (50) and the relationship between the temperature and humidity of the bedroom (5) detected by the temperature sensor (26) and the humidity sensor (27) are databased. The database uses the steepest descent method to find the optimal temperature and humidity (target temperature and humidity) for the bedroom (5). Here, the relationship between the temperature and humidity and the sleep quality obtained in this way varies depending on individual differences among sleepers, and is different for each sleeper. Therefore, by calculating the target temperature and humidity of the bedroom (5) based on this database and controlling the air conditioner (10), it is possible to perform optimal air conditioning that improves the sleep quality of the sleeping person. This makes it possible to maintain a good bedroom environment.

  Also, by accumulating the relationship between the sleep quality of a sleeping person and the temperature and humidity of the bedroom (5) in this database every day, it is possible to grasp a more optimal temperature and humidity according to individual differences. Therefore, it is possible to perform air-conditioning control that improves the sleep quality of a sleeping person on a daily basis. And since the steepest descent method is used, the optimum temperature and humidity can be reached.

  Furthermore, since the temperature and humidity near the bed are detected by the temperature sensor (26) and the humidity sensor (27), air-conditioning control can be performed so that the temperature and humidity near the bed become the optimum temperature and humidity. Therefore, since the temperature and humidity around the sleeping person can be controlled optimally and reliably, the sleeping quality of the sleeping person can be reliably improved.

  Then, the sleep time of one time is divided into a plurality of times, and the optimum air conditioning state is derived by the optimum air conditioning state deriving means (44) for each divided time, and the air conditioning control is performed. It becomes possible to cope with the optimal air conditioning state that changes gradually, and the sleeping environment of the sleeping person can be kept good.

(Embodiment 2)
The second embodiment is different from the first embodiment in that the sleeping time of one time is divided into three, the temperature of the bedroom is lowered in the first half and the temperature of the bedroom is raised in the second half, and the other points are the embodiments. Therefore, only the points that are different from the first embodiment will be described below.

  In the present embodiment, the bedroom temperature is monotonously decreased in the first half of one sleeping time. It has been found that body temperature gradually decreases when falling asleep and increases as it awakens. The monotonic decrease in temperature in the first half is a control based on this change in body temperature. The amount of temperature decrease is obtained by the optimum air conditioning state deriving means (44), but there is a difference depending on the individual. Therefore, 1 to 3 ° C. can be mentioned as an example. In the same way, the bedroom temperature is increased monotonously during the second half of sleep. Similarly, the amount of temperature increase is obtained by the optimum air conditioning state deriving means (44), which can be exemplified by 0.5 to 2 ° C.

-Effect of Embodiment 2-
In the present embodiment, in addition to the effects of the first embodiment, the sleeping environment of the sleeping person can be controlled to a more optimal air conditioning state that matches the physiological phenomenon of the sleeping person.

(Embodiment 3)
The third embodiment is different from the first embodiment in that each sleeper's data is stored in the database construction means (43) so that one system can be used by a plurality of sleepers. The other points are the same as those of the first embodiment, and only the points different from the first embodiment will be described below.

  In this embodiment, for example, when there are three sleeping persons D, E, and F, each sleeping person is registered in the circuit unit (40) of the main body (30). The database construction means (43) is provided with a data storage unit for each registered sleeper, and each data storage unit stores its own data. For example, when D is going to sleep using this system on a certain day, if the body part (30) is operated to use the data of D, the temperature and humidity are controlled according to the data of D on that day, and the sleep quality of the day And the temperature and humidity are stored in the data storage unit D. When E goes to sleep using this system on the next day, the temperature and humidity are similarly controlled by the E data, and the sleep quality and temperature and humidity of the day are stored in the E data storage unit. The same applies when F uses this system.

-Effect of Embodiment 3-
In this embodiment, in addition to the effects of the first embodiment, even when a plurality of sleepers use this system separately, their own data is stored and can be used, so there is no need to start control from the beginning. The air conditioning control can be performed at any time so as to obtain the optimum temperature and humidity suitable for each person, and the sleep quality of a plurality of sleepers can be reliably improved.

(Embodiment 4)
The fourth embodiment is different from the first embodiment in that air conditioning control is performed by separately managing data when the air conditioner (10) performs cooling and when heating is performed, and other points are different from the first embodiment. Therefore, only differences from the first embodiment will be described below.

  The clothing and bedding forms are different in summer and winter, and the degree of acclimatization between the summer and winter of the human body is also different because the external temperature is different. Therefore, the temperature and humidity at which the optimal sleep quality can be obtained also differ between the summer and winter, and it is necessary to separately control the data storage unit in the heating operation and the cooling operation. In the present embodiment, the data storage unit during the heating operation and the data storage unit during the cooling operation are separately provided in the database construction means (43).

-Effect of Embodiment 4-
In the present embodiment, in addition to the effects of the first embodiment, air conditioning control can be performed so that the temperature and humidity are always optimal throughout the year, and the sleep quality of the sleeping person can be reliably improved throughout the year.

-Modification of Embodiments 1 to 4-
About the said embodiment, it is good also as a structure of each modification as follows.

<About sleep quality>
In the above-described embodiment, “medium awakening time”, “slow wave sleep time”, “shallow sleep time”, and “REM sleep time” are used as sleep quality of the sleeper, but other indicators are used as sleep quality. It may be used. Specifically, the above-mentioned “sleeping time” of the sleeping person may be used, or the number of times “halfway awakening” occurs between the sleep time and the awakening time (“number of times of midway awakening”) may be used. good. Also, use the time from when the sleeping person is asleep until they fall asleep (so-called “sleeping latency”) or the time from when the sleeping person awakens to get out of bed (so-called “sleeping latency”). Here, the “sleeping latency” is an index representing the sleepiness of a sleeping person, and is obtained, for example, by calculating the time from the first top entry floor time to the sleeping time during the sleeping period. In addition, the “latency of getting out of bed” is an index representing the awakening quality of a sleeping person, and can be obtained by calculating, for example, the time from the above-mentioned awakening time to the subsequent leaving time. The longest time (“stable sleep time”) among the time during which the sleeping person is continuously determined to be in the “sleep” state from the sleep time to the wake-up time may be used. Is any one of the sleep qualities mentioned above It only may be used, it may be a combination of any of these sleep quality.

<Derivation method of optimum air condition>
The method for obtaining the target temperature / humidity (optimal air condition) of the bedroom (5) based on the database constructed by the database constructing means (43) is not limited to the above embodiment. Specifically, for example, in the above-described embodiment, the time length such as “midway awakening time” is used as it is, but for example, each index for the time length of the sleeping period from when the sleeping person goes to sleep and wakes up. You may make it obtain | require the said optimal air-conditioning state using the ratio of time length.

  For example, the modification shown in FIG. 6 evaluates the sleep quality to obtain the optimum air condition. Specifically, in this example, “sleeping latency”, “getting out of bed”, “number of halfway awakenings”, “halfway awakening time”, and “stable sleeping time” are used as the sleep quality described above. In this example, each sleep quality is scored based on each evaluation method shown in FIG. 6, and the total of these scores is calculated for each sleeping period. Then, the temperature and humidity of the bedroom (5) in the sleeping period when the total value is the highest is derived as the optimum temperature and humidity.

  Other modifications of the above embodiment will be described in detail with specific examples.

<Modification 1>
In the above embodiment, an index obtained by dividing the sleeper's “total sleep time” by the sleeper's “total bedtime” may be used as the sleep quality. Specifically, the sleep quality deriving unit (50) according to the first modification derives the “total sleep time” and the “total bed time” of the sleeper based on the signal modulated by the signal processing unit (41). . “Total sleep time” indicates the total amount of time the sleeper was actually sleeping (excluding mid-wake) during the above “sleep time” from when the sleeper fell asleep to awakening It is. That is, the “total sleep time” is obtained by subtracting the “halfway awakening time” from the “sleep time”. Then, the sleep quality deriving means (50) divides this “total sleep time” by the corresponding “total bedtime” (the time from the bedtime to the bedtime) (hereinafter, this The index is called “sleep efficiency”).

  In the storage means (42), the “sleep efficiency” is stored and accumulated together with time-series data of temperature and humidity detected by the temperature sensor (26) and the humidity sensor (27). Then, the database construction means (43) uses a steepest descent method based on the data stored in the storage means (42) to create a database on the relationship between “sleep efficiency” and the indoor air conditioning state (temperature and humidity state). Build up.

  FIG. 8 is an example of data indicating the relationship between the temperature (° C.) detected by the temperature sensor (26) and the sleep efficiency (%). As shown in FIG. 8, it can be seen that there is a certain correlation between the temperature in the bed and the “sleep efficiency” as shown by the solid line of L1. Therefore, the optimum control target value deriving means (44) calculates the target temperature and target humidity of the air conditioner (10) that provides the highest “sleep efficiency” based on such a database. The air conditioning control means (45) controls the air conditioning capability of the air conditioner (10) so that the temperature in the bed approaches the target temperature.

  As described above, in the first modification, the temperature and humidity that are the control targets of the air conditioning control means (45) are set using the “sleep efficiency” that is the ratio of the “total sleep time” to the “total bedtime”. I want to ask. For this reason, in the first modification, even when the total bedtime of the bedridden is extremely short or extremely long, it is possible to evaluate how much sleep can be made in the total bedtime. . That is, in the first modification, the sleep quality of the sleeper can be obtained more accurately regardless of the length of the “total bedtime” of the sleeper. Therefore, a more optimal bedroom environment can be obtained by such air conditioning control.

<Modification 2>
In the above embodiment, an index obtained by dividing the sleeper's “midway awakening time” by the sleeper's “total bedtime” may be used as the sleep quality. Specifically, the sleep quality deriving means (50) of the modified example 2 calculates the “halfway awakening time” and “total bedtime” as described above based on the signal modulated by the signal processing means (41). To derive. Then, the sleep quality deriving means (50) calculates an index obtained by dividing the “midway awakening time” by the corresponding “total bedtime” (hereinafter, this index is referred to as “the midway awakening rate I”).

  In the storage means (42), the above-mentioned “halfway awakening rate I” is stored and accumulated together with time-series data of temperature and humidity detected by the temperature sensor (26) and the humidity sensor (27). Then, the database construction means (43) uses the steepest descent method based on the data stored in the storage means (42) to determine the relationship between the “intermediate awakening rate I” and the indoor air conditioning state (temperature and humidity state). Build a database.

  FIG. 9 is an example of data showing the relationship between the temperature (° C.) detected by the temperature sensor (26) and the midway awakening rate I (%). As shown in FIG. 9, it can be seen that there is a certain correlation between the temperature in the bed and the “intermediate awakening rate I” as shown by the solid line of L2. Therefore, the optimum control target value deriving means (44) calculates the target temperature and the target humidity of the air conditioner (10) such that the “midway awakening rate I” is the lowest based on such a database. The air conditioning control means (45) controls the air conditioning capability of the air conditioner (10) so that the temperature in the bed approaches the target temperature.

  As described above, in the second modification, the “midway awakening rate I”, which is the ratio of the “halfway awakening time” to the “total bedtime”, is used as a control target for the air conditioning control means (45). The humidity is calculated. For this reason, in the second modification, even when the bedtime of the bedridden is extremely short or extremely long, it is possible to evaluate how much sleep could not be actually performed in the total bedtime. it can. That is, also in this modified example 2, the sleep quality of the sleeper can be obtained more accurately regardless of the length of the “total bedtime” of the sleeper. Therefore, a more optimal bedroom environment can be obtained by such air conditioning control.

<Modification 3>
In the above embodiment, an index obtained by dividing the sleeper's “midway awakening time” by the sleeper's “sleep time” may be used as the sleep quality. Specifically, the sleep quality deriving means (50) of the third modified example is based on the signal modulated by the signal processing means (41) and the above-mentioned “sleep time” and the above “sleep time” (when the sleeping person falls asleep). Deriving the time from waking up to waking up. Then, the sleep quality deriving means (50) calculates an index obtained by dividing the “intermediate awakening time” by the corresponding “sleep time” (hereinafter, this index is referred to as “intermediate awakening rate II”).

  The storage means (42) stores and accumulates the above-mentioned “halfway arousal rate II” together with time-series data of temperature and humidity detected by the temperature sensor (26) and the humidity sensor (27). Then, the database construction means (43) uses the steepest descent method based on the data stored in the storage means (42) to determine the relationship between the “intermediate awakening rate II” and the indoor air conditioning state (temperature and humidity state). Build a database.

  FIG. 10 is an example of data showing the relationship between the temperature (° C.) detected by the temperature sensor (26) and the midway awakening rate II (%). As shown in FIG. 10, it can be seen that there is a certain correlation between the temperature in the bed and the “halfway awakening rate II” as shown by the solid line of L3. Therefore, the optimum control target value deriving means (44) calculates the target temperature and the target humidity of the air conditioner (10) such that the “midway awakening rate II” is the lowest based on such a database. The air conditioning control means (45) controls the air conditioning capability of the air conditioner (10) so that the temperature in the bed approaches the target temperature.

  As described above, in the third modification, the temperature and humidity that are the control targets of the air conditioning control means (45) are set using the “midway awakening rate II” that is the ratio of the “midway awakening time” to the “sleeping time”. I want to ask. For this reason, in this modification 3, even when a sleeper's sleep time is extremely short, or when it is extremely long, it can be evaluated how much sleep was not able to sleep substantially in the sleep time. In addition, in the modified example 3, even when the sleeping person does not sleep by reading or watching TV on the bedding, the sleeping quality of the sleeping person can be evaluated in consideration of this. Therefore, a more optimal bedroom environment can be obtained by such air conditioning control.

<Modification 4>
In the above embodiment, an index obtained by dividing the sleeper's “midway awakening time” by the sleeper's “total sleep time” may be used as the sleep quality. Specifically, the sleep quality deriving means (50) of the modified example 4 is based on the signal modulated by the signal processing means (41), and the above-mentioned “total sleep time” (substantial sleeping person) Deduced sleep time). Then, the sleep quality deriving means (50) calculates an index obtained by dividing the “intermediate awakening time” by the corresponding “total sleep time” (hereinafter, this index is referred to as “intermediate awakening rate III”).

  The storage means (42) stores and accumulates the above-mentioned “halfway awakening rate III” together with time-series data of temperature and humidity detected by the temperature sensor (26) and the humidity sensor (27). Then, the database construction means (43) constructs a database on the relationship between the “midway awakening rate III” and the indoor air conditioning state (temperature / humidity state) based on the data stored in the storage means (42).

  FIG. 11 is an example of data indicating the relationship between the temperature (° C.) detected by the temperature sensor (26) and the midway awakening rate III (%). As shown in FIG. 11, it can be seen that the relationship between the temperature in the bed and the “midway awakening rate III” has a certain correlation as shown by the solid line of L4. Therefore, the optimum control target value deriving means (44) uses the steepest descent method based on such a database, and the target temperature and target humidity of the air conditioner (10) with the lowest “midway awakening rate III”. Is calculated. The air conditioning control means (45) controls the air conditioning capability of the air conditioner (10) so that the temperature in the bed approaches the target temperature.

  As described above, in the fourth modification, the “midway awakening rate III” that is the ratio of the “halfway awakening time” to the “total sleep time” is used to control the temperature and humidity that are the control targets of the air conditioning control means (45). Asking for. For this reason, in this modified example 4, even when the total sleep time of the sleeper is extremely short or extremely long, it is possible to evaluate how much sleep could not be substantially performed during the total sleep time. In addition, in the modified example 4, even when the sleeping person does not sleep by reading or watching TV on the bedding, the sleeping quality of the sleeping person can be evaluated in consideration of this. Therefore, a more optimal bedroom environment can be obtained by such air conditioning control.

  In each of the above-described modifications, the optimal air conditioning state may be obtained by evaluating the sleep quality as described above. Specifically, for example, in the evaluation of “sleep efficiency” in Modification 1, for example, “sleep efficiency” is 95% or more, 6 points, 90% or more, 5 or 4 points, 85% or more, 3 or 2 points The optimum air conditioning state (target temperature or target humidity) may be obtained in consideration of these points.

<< Other Embodiments >>
About the said embodiment, it is good also as the following structures.

  In the above embodiment, the sleep quality of the sleeper is derived based on the body motion signal detected by the body motion sensor (20). However, for example, the sleep quality of the sleeper may be derived by measuring the sleeper's brain wave or eye movement, or directly measuring the sleeper's breathing or heartbeat.

  Moreover, in the said embodiment, although the division | segmentation of the sleep time of 1 time is made into 3 divisions, it is good also as 2 divisions and you may make it into 4 or more divisions. In the case of two divisions, the temperature is monotonously decreased in the first half, and the temperature is monotonously increased in the second half. In the case of four or more divisions, the temperature in the first half may be decreased and the temperature in the second half may be increased in accordance with the three-division temperature control.

  In the above embodiment, the sleep time is divided into three and the same type of sleep quality is used for control in the front, middle, and latter half, but different sleep qualities may be used. For example, the sleep latency may be used in the first half and the bed leaving latency may be used in the second half.

  In the above embodiment, the air conditioner (10) is configured to perform both temperature control and humidity control of the bedroom (5). However, the air conditioner (10) is configured to control the temperature of the bedroom (5). It may be something that only performs. In this case, only the temperature of the bedroom (5) is detected by the temperature sensor (26), and a database that associates the temperature of the bedroom (5) with the sleep quality of the sleeping person is constructed by the database construction means (43). Then, the target temperature of the air conditioner (10) may be derived from this database, and the temperature control capability of the air conditioner (10) may be controlled so that the temperature of the bedroom (5) becomes the target temperature. As shown in FIG. 7, a predetermined relationship is established between the temperature of the bedroom (5) and the sleep quality of the sleeping person. Therefore, by deriving a target temperature (for example, 29 ° C.) that optimizes the sleep quality of the sleeper from such a relationship and performing air conditioning control, an optimal bedroom environment for the sleeper can be obtained. .

  Furthermore, in the said embodiment, although the temperature sensor (26) and the humidity sensor (27) are provided in the vicinity of the bedding (6), each sensor (27, 28) is arrange | positioned in places other than this, and the bedroom (5 ) May be detected. Moreover, you may make it utilize the sensor provided in the air conditioner (10) as these temperature sensors (26) and humidity sensors (27).

  In the above embodiment, the relationship between the temperature and humidity of the bedroom (5) when the air conditioner (10) is in operation and the sleep quality of the sleeper is databased, but the air conditioner (10) is stopped. The relationship between the temperature and humidity of the bedroom (5) and the sleep quality of the sleeping person may be added to the database. Thereby, the relationship between the temperature / humidity of the bedroom (5) and the sleep quality of the sleeping person can be obtained in a wider temperature / humidity range, and a more optimal target temperature / humidity can be derived.

  In addition, the above embodiment is an essentially preferable illustration, Comprising: It does not intend restrict | limiting the range of this invention, its application thing, or its use.

  As described above, the present invention is useful for measures for performing comfortable air conditioning for a sleeping person in air conditioning control of a bedroom.

It is a schematic diagram of an air-conditioning control system concerning an embodiment of the present invention. It is the perspective view which expanded the main-body part of the air-conditioning control system. It is a block diagram which shows the structure of a circuit unit. It is a flowchart which shows operation | movement of an air-conditioning control system. It is the graph which showed the relationship between the temperature and humidity of a bedroom, and the sleep quality of a sleeper. It is a table | surface for demonstrating the method of evaluating the quality of sleep quality about the air-conditioning control system which concerns on a modification. It is the graph which showed the relationship between the temperature of a bedroom, and the sleep quality of a sleeper. It is a graph which shows the relationship between the temperature of a bedroom, and sleep quality about embodiment which concerns on the modification 1. FIG. It is a graph which shows the relationship between the temperature of a bedroom, and sleep quality about embodiment which concerns on the modification 2. FIG. It is a graph which shows the relationship between the temperature of a bedroom, and sleep quality about embodiment which concerns on the modification 3. It is a graph which shows the relationship between the temperature of a bedroom, and sleep quality about embodiment which concerns on the modification 4.

1 Air conditioning control system
5 bedrooms
6 Bedding
10 Air conditioner (air conditioner)
26 Temperature sensor (air condition detection means)
27 Humidity sensor (air condition detection means)
43 Database construction means
44 Means for deriving optimal control target value
45 Air conditioning control means
50 Sleep quality deriving means

Claims (8)

An air conditioning control system for controlling the air conditioning capacity of the air conditioning means (10) for air conditioning in the bedroom,
Sleep quality deriving means (50) for deriving the sleep quality of the sleeper on the bed,
Air conditioning control means (45) for controlling the air conditioning capability of the air conditioning means (10) based on the sleep quality of the sleeper derived by the sleep quality deriving means (50);
Air-conditioning state detection means (26, 27) for detecting the air-conditioning state of the bedroom;
Database construction means for constructing a database comprising time-series data in which the air conditioning state detected by the air conditioning state detection means (26, 27) and the sleep quality of the sleeper derived by the sleep quality deriving means (50) are associated with each other. (43)
Based on the database constructed by the database construction means (43), the time series data are compared with each other, and the optimum air conditioning state deriving means (44) for obtaining the optimum air conditioning state of the bedroom is provided,
The optimum air conditioning state deriving means (44) divides one sleep time into a plurality of times, and obtains the optimum air conditioning state for each divided time,
The air conditioning control means (45) controls the air conditioning capability of the air conditioning means (10) so that the air conditioning state of the bedroom approaches the optimum air conditioning state obtained by the optimum air conditioning state deriving means (44). Air conditioning control system. In claim 1,
The air conditioning state detection means (26, 27) is configured to detect both the temperature and humidity of the bedroom as the air conditioning state,
The optimum air conditioning state deriving means (44) is configured to obtain the optimum temperature and humidity of the bedroom based on the database of the database construction means (43),
The air-conditioning control means (45) controls the air-conditioning capability of the air-conditioning means (10) so that the temperature and humidity of the bedroom approaches the optimum temperature and humidity. In claim 2,
The air-conditioning control system is characterized in that the air-conditioning state detecting means (26, 27) is configured to detect an air-conditioning state in the vicinity of the bed. In any one of Claims 1 thru | or 3,
The air quality control system characterized in that the sleep quality derived by the sleep quality deriving means (50) is at least one of a sleeper's sleep time, mid-wake time, REM sleep time, and total sleep time. In any one of Claims 1 thru | or 4,
The sleep time is divided into the first half, the middle, and the second half.
The air conditioning control system characterized in that, in the first half, the temperature of the bedroom is monotonously lowered. In claim 5,
The optimum air conditioning state deriving means (44) obtains the amount of decrease in temperature in the first half. In claim 5 or 6,
In the second half, an air conditioning control system that monotonically increases the temperature of the bedroom. In claim 7,
The optimum air conditioning state deriving means (44) obtains the amount of temperature increase in the latter half of the air conditioning control system.

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