JP2014159916A - Environment control apparatus, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To control a state of a peripheral environment of a user so as to improve comfort.SOLUTION: A detection part 12 detects a plurality of pieces of bio-environment information including at least one biological information to be influenced on sensitivity of a user 50 and at least one environment information indicating a state of a peripheral environment 52 of a target living body. A control part 16 evaluates a level of comfort of the user 50 on the basis of the plurality of pieces of detected bio-environment information and a comfort evaluation model learned by main component analysis based on a correlation matrix of the plurality of pieces of bio-environment information to which levels of comfort are made to correspond. The control part generates a control signal for performing at least one of control for increasing environment information indicating positive correlation with comfort and control for reducing the environment information indicating negative correlation with the comport when the comfort is a low level and transmits the control signal to an air conditioner 54.

Description

  The present invention relates to an environment control device, an environment control method, and an environment control program, and in particular, an environment control device, an environment control method, and an environment control that control a state of a user's surrounding environment based on a comfort evaluation result. Regarding the program.

  Conventionally, the autonomic nerve function of a subject has been evaluated using biological information such as brain waves and heartbeats acquired from the subject. For example, a device has been proposed in which an acceleration brain wave is calculated by second-order differentiation of a biological brain wave waveform measured continuously for a predetermined time, and the function of the autonomic nerve is evaluated by analysis of fluctuations in the acceleration brain wave (for example, Patent Document 1).

  There is also a technique for managing the physical condition of a subject using environmental information such as temperature and humidity around the subject. For example, using a threshold table in which a biometric data threshold value for managing the physical condition of the user is preset for each weather condition, a biometric data threshold value set for the weather condition corresponding to the weather data detected by the weather sensor; There has been proposed a portable terminal device for physical condition management that issues a warning to a user when an abnormal condition of the user is detected by comparing with a biological data value detected by a biological sensor (see, for example, Patent Document 2). ).

  In addition, biological information that affects sensibility is detected from a plurality of parts of the subject, a principal component analysis based on a correlation matrix is performed to integrate the plurality of biological information into one integrated data, and a region for each sensitivity is set in advance. A sensitivity evaluation apparatus for evaluating the sensitivity of a subject by plotting integrated data in the principal component space has been proposed (see, for example, Patent Document 3).

JP 2010-51822 A JP 2007-20971 A JP 2011-120824 A

  However, although the conventional technology evaluates autonomic nervous function, physical condition, sensitivity, etc., it is considered to control the state of the user's surrounding environment so as to enhance comfort based on the evaluation result. Absent.

  The present invention has been made in view of the above circumstances, and provides an environment control device, an environment control method, and an environment control program capable of controlling the state of a user's surrounding environment so as to enhance comfort. Objective.

  In order to achieve the above object, an environment control device of the present invention includes a plurality of living bodies including at least one biological information that affects the sensitivity of the target living body and at least one environmental information that indicates a state of the surrounding environment of the target living body. Comfort learned by principal component analysis based on a correlation matrix of detection means for detecting environment information, a plurality of biological environment information detected by the detection means, and a plurality of biological environment information associated with comfort levels Evaluation means for evaluating the level of comfort of the target living body based on the sex evaluation model, and when the evaluation means evaluates that the comfort level of the target living body is low level, A control signal for performing at least one of control for increasing environmental information showing a positive correlation and control for reducing environmental information showing a negative correlation with respect to comfort, It is configured to include a transmitting means for transmitting to an external device for controlling the state of the edges environment, the.

  According to the environment control apparatus of the present invention, the detection unit includes a plurality of pieces of biological environment information including at least one piece of biological information that affects the sensitivity of the target living body and at least one piece of environmental information that indicates a state of the surrounding environment of the target living body. To detect. And a comfort evaluation model learned by principal component analysis based on a correlation matrix of a plurality of biological environment information detected by the detection means and a plurality of biological environment information associated with comfort levels; To evaluate the level of comfort of the target living body. Further, when the evaluation unit evaluates that the comfort level of the target living body is at a low level, the transmission unit is configured to increase environmental information that has a positive correlation with the comfort level, and to negatively affect the comfort level. A control signal for performing at least one of the control for reducing the environmental information indicating the correlation is transmitted to the external device that controls the state of the surrounding environment.

  In this way, when the comfort evaluated based on a plurality of biological environment information is low level, by controlling to increase or decrease the environmental information showing a positive or negative correlation with the comfort, The state of the user's surrounding environment can be controlled to enhance comfort.

  The environment control device according to the present invention may include a plurality of living bodies detected by the detecting unit before the notification when the external device is notified that the state of the surrounding environment is controlled by the target living body. Re-learning means for associating environmental information with low-level comfort, re-learning the comfort evaluation model by associating a plurality of biological environment information detected by the detection means after the notification with high-level comfort Can be configured. This makes it possible to evaluate comfort and control the state of the surrounding environment in consideration of the adaptability of the target living body to the surrounding environment.

  In addition, the environment control apparatus of the present invention can include a storage unit that stores each of the plurality of biological environment information detected by the detection unit in one data format. As a result, each of a plurality of biological environment information can be easily handled in synchronization with each other. Therefore, even when performing multivariate analysis such as principal component analysis, comfort evaluation and control of the state of the surrounding environment are performed in real time. It can be carried out.

  The environment information detected by the detection means, the environment information used for learning the comfort evaluation model, and the environment information controlled by the external device can be the same type. As a result, it is possible to more accurately evaluate comfort and control the state of the surrounding environment.

  Moreover, the environment control method of the present invention uses, as detection means, a plurality of pieces of biological environment information including at least one piece of biological information that affects the sensitivity of the target living body and at least one piece of environmental information that indicates the state of the surrounding environment of the target living body. Based on a plurality of biological environment information detected by the detection means and a comfort evaluation model learned by principal component analysis based on a correlation matrix of the plurality of biological environment information associated with comfort levels And, when the comfort level of the target living body is evaluated and the comfort level of the target living body is evaluated to be low, control for increasing environmental information showing a positive correlation with the comfort level, And a method of transmitting a control signal for performing at least one of control for reducing environmental information having a negative correlation with the comfort to an external device that controls the state of the surrounding environment. .

  In addition, the environment control program of the present invention causes a computer to receive a plurality of pieces of biological environment information including at least one piece of biological information that affects the sensibility of the target living body and at least one piece of environmental information that indicates the state of the surrounding environment of the target living body Based on a plurality of biological environment information detected by the detecting means to detect and a comfort evaluation model learned by principal component analysis based on a correlation matrix of a plurality of biological environment information associated with comfort levels, Evaluation means for evaluating the level of comfort of the target living body, and environmental information showing a positive correlation with the comfort when the evaluation means evaluates that the comfort of the target living body is low level A control signal for performing at least one of control for increasing the control information and control for reducing environmental information having a negative correlation with the comfort. Controlling the a program for functioning as a transmitting means for transmitting to an external device.

  The program of the present invention can be provided by being stored in a storage medium. Moreover, you may make it download from the server etc. which were connected to the network.

  As described above, according to the environment control device, the environment control method, and the environment control program of the present invention, there is an effect that the state of the user's surrounding environment can be controlled so as to improve comfort.

It is a block diagram which shows the structure of the environment control apparatus of this Embodiment. It is the schematic which shows the structure of the environment control apparatus of this Embodiment. It is the schematic which shows an example of a stay position. It is a graph for demonstrating biological environment information. It is the schematic which shows an example of a comfort evaluation model. It is a graph which shows an example of factor load amount. It is a flowchart which shows the content of the environment control process in 1st Embodiment. It is a flowchart which shows the content of the relearning process in 2nd Embodiment.

  Embodiments of an environmental control device of the present invention will be described below in detail with reference to the drawings.

  As shown in FIG. 1, the environment control apparatus 10 according to the first embodiment includes a detection unit 12 that detects biological information and environment information, a keyboard, a mouse, and the like, and an operation for inputting various information. A display unit 14 for displaying various information such as a comfort evaluation result and a control content of the state of the surrounding environment, and a control unit 16 for controlling the environment control device 10.

  The control unit 16 includes a CPU 20 that controls the environment control apparatus 10 as a whole, a ROM 22 as a storage medium that stores various programs such as an environment control process to be described later, a RAM 24 that temporarily stores data as a work area, and various information stored therein. The computer includes a hard disk (HDD) 26, an input / output port (I / O port) 28, a communication interface (communication I / F) 30, and a bus connecting them. A detection unit 12, an operation unit 13, and a display unit 14 are connected to the I / O port 28.

  Various programs such as environment control processing are not limited to being stored in the ROM 22. You may memorize | store in HDD26. Also, the program is stored in an external storage device such as an HDD or SSD (Solid State Drive), or a portable storage device such as a CD (Compact Disc Recordable) or DVD (Digital Versatile Disc). A program may be read from the storage device into the environment control device 10.

  The control unit 16 evaluates the user's comfort based on the biological information and the environment information input from the detection unit 12, and controls the state of the peripheral environment 52 of the user 50 so as to enhance the comfort. The control signal of the air conditioner 54 (refer FIG. 2) arrange | positioned in 52 is produced | generated and transmitted.

  As shown in FIG. 2, the detection unit 12 includes a plurality of sensors for detecting biological information of the user 50 and environmental information in the surrounding environment 52 of the user 50. In the present embodiment, the detection unit 12 includes, as biological information, an infrared sensor 12A for detecting the body surface temperature and activity amount of the user 50, and an imaging sensor 12B for detecting the stay position of the user 50. It is out. The detection unit 12 includes a thermometer 12C for detecting the indoor temperature of the surrounding environment 52 and a hygrometer 12D for detecting the indoor humidity of the surrounding environment 52 as the environment information. When the biological information and environmental information detected by the detection unit 12 are described without distinction, they are referred to as “biological environment information”. The biological environment information detected by the detection unit 12 is input to the control unit 16 as digital data.

  The infrared sensor 12A includes an infrared camera and a microcomputer. By photographing the surrounding environment 52 with an infrared camera, infrared rays emitted from an object or organism serving as a heat source are detected, and a thermal image in which the intensity of the detected infrared rays is converted into a temperature distribution is generated. The microcomputer extracts a region indicating the user 50 from the thermal image, and detects the temperature indicated by the representative point of the region as the body surface temperature of the user 50.

  In addition, the infrared sensor 12A extracts a region indicating the user 50 from the generated thermal image, and calculates a movement distance represented by how many pixels the representative point of the region has moved for a certain time (for example, 350 milliseconds). Detect as activity. Note that the activity amount may be detected by an imaging sensor 12B described later, or may be detected using both the infrared sensor 12A and the imaging sensor 12B.

  The image sensor 12B includes a video camera and a microcomputer. When the microcomputer divides the surrounding environment 52 into a plurality of positions from an image obtained by shooting the surrounding environment 52 with a video camera, a stay position indicating which position the user 50 is staying is detected. For example, as shown in FIG. 3, the surrounding environment 52 is divided into five positions of LP1, LP2, LP3, LP4, and LPC when viewed from directly above. Then, it is detected as a stay position how often the user 50 stays at each position every predetermined time. For example, if the user stays at LP1 for 30 seconds and LP2 for 30 seconds within one minute, the values of LP1 and LP2 are 0.5, and the values of LP3, LP4, and LPC are 0.

  Here, an example of the relationship between biological environment information and comfort will be described with reference to FIG. FIG. 4 is an example in which a common marmoset is used as the subject as the user 50 and the biological environment information is detected for 9 days for the sake of explanation. The graph A in FIG. 4 shows the room temperature of the surrounding environment 52 detected by the thermometer 12C (indicated by “AT” in FIG. 4, unit: ° C.) and the room humidity of the surrounding environment 52 detected by the hygrometer 12D (see FIG. 4). 4 is represented by “AH” (unit:%). Graph B in FIG. 4 represents the body surface temperature of the subject detected by the infrared sensor 12A (indicated by “SBT” in FIG. 4, unit: ° C.). Further, a graph C in FIG. 4 represents the activity amount of the subject detected by the infrared sensor 12A (indicated by “V” in FIG. 4, unit: pixels / sec). A graph D in FIG. 4 is a stay position of the subject detected by the imaging sensor 12B (denoted by “LP1, LP2, LP3, LP4, and LPC” in FIG. 4).

  As shown in FIG. 4, the body surface temperature, the amount of activity, and the rhythm of the staying position are disturbed on a tropical night where the nighttime minimum temperature is 25 ° C. or more (arrow portion in FIG. 4). The rhythm disturbance indicates that the level of comfort felt by the subject is low. Further, when the room temperature is controlled to the optimum room temperature from a state where the room temperature is not controlled (non-setting period), the rhythm disturbance is recovered. When the rhythm is stable, it indicates that the level of comfort felt by the subject is high. Also, as shown in graph D of FIG. 4, it can be seen that there is a strong tendency to stay at position LP1 (near the air conditioner 54) at night, and a strong tendency to stay at position LP2 during the day.

  As described above, various information can be obtained from individual biological environment information, but it is complicated and difficult to understand how to understand the information in order to control the state of the surrounding environment to enhance comfort. It is a serious problem. Therefore, in the environment control device 10 according to the first embodiment, by executing an environment control process to be described later, the user's comfort is evaluated by integrating the plurality of biological environment information, and according to the evaluation result. Control the state of the surrounding environment in real time.

  Next, the operation of the environment control device 10 according to the first embodiment will be described. Here, a case will be described in which the level of comfort is two levels of “high level” “comfort” and low level “discomfort”. First, for example, as in the technique described in Japanese Patent Application Laid-Open No. 2011-120824, integration is performed by performing principal component analysis based on a correlation matrix for a plurality of pieces of biological environment information associated with comfort levels. By plotting the data in the principal component space, a comfort evaluation model in which regions for each comfort level are set in the principal component space is learned.

  For example, as shown in FIG. 5, in the principal component space consisting of two axes of the first principal component (PC1) and the second principal component (PC2), the biological environment information at night associated with “comfort” is integrated. When a large amount of the integrated data is plotted in the first quadrant, the first quadrant is determined as an area indicating “comfort” at night. Further, when a large amount of integrated data obtained by integrating biological environment information in the daytime associated with “comfort” is plotted in the second quadrant, the second quadrant is determined as an area indicating “comfort” in the daytime. Further, when many integrated data obtained by integrating daytime biological environment information associated with “unpleasant” are plotted in the third quadrant, the third quadrant is defined as an area indicating “unpleasant” in the daytime. In addition, when a large amount of integrated data obtained by integrating biological environment information at night associated with “unpleasant” is plotted in the fourth quadrant, the fourth quadrant is determined as an area indicating “uncomfortable” at night. Instead of setting a region for each quadrant, for example, an elliptical region shown in FIG. 5 may be determined as a region for each comfort level.

  In addition, environmental information showing a positive correlation with comfort and environmental information showing a negative correlation are extracted and used when generating a control signal for the air conditioner 54 for controlling the state of the surrounding environment 52. Information is defined in the control signal table. For example, as shown in FIG. 6, such environmental information can be extracted by looking at a graph displaying factor loadings of factors contributing to the principal component space as vectors extending from the average center. . For example, when “temperature” shows a positive correlation with comfort, information “increase the room temperature by X ° C.” can be set in the control signal table. Further, when “humidity” has a negative correlation with comfort, the information “reducing indoor humidity by Y%” can be set in the control signal table. X ° C. and Y% may be fixed values such as 1 ° C. and 1%, for example, or may be determined stepwise according to the level of comfort.

  Thus, the control part 16 of the environment control apparatus 10 performs the environment control process shown in FIG. 7 in the state in which the comfort evaluation model and the control signal table are generated.

  In the environment control process shown in FIG. 7, first, in step 100, each of a plurality of biological environment information detected by each sensor included in the detection unit 12 is acquired.

  Next, in step 102, each of the biological environment information acquired at the same time is synchronized by storing the plurality of biological environment information acquired in step 100 in the following data format.

  The data format used in this embodiment has a hierarchical structure of three areas: a header area, a data structure area, and a data area. The header area is a start flag, and stores information such as biological environment information acquisition date and time (date and time when biological environment information is stored in the data format), device version, and obtainable biological environment information, for example, a fixed length of 32 bits. It is an area.

  The biometric environment information that can be acquired is biometric information or environmental information that can be detected using a sensor included in the detection unit 12. For example, in the first embodiment, the sensors included in the detection unit 12 are described as the infrared sensor 12A, the imaging sensor 12B, the thermometer 12C, and the hygrometer 12D. Consider a case where the sensor 12E and the sensor 12F can be included in the detection unit 12. In addition, as described above, the body surface temperature (SBT) and activity (V) of the user 50 are measured by the infrared sensor 12A, the stay position (LP1, LP2, LP3, LP4, LPC) is measured by the imaging sensor 12B, and the room is measured by the thermometer 12C. The indoor humidity (AH) is detected by the temperature (AT) and the hygrometer 12D. In addition, when the sensors 12E and 12F are equipped, the biological environment information DE and DF are detected, respectively. The “obtainable biological environment information” in this case is, for example, “SBT = 1, V = 1, LP1 = 1, LP2 = 1, LP3 = 1, LP4 = 1, LPC = 1, AT = 1, AH = 1, DE = 0, DF = 0 (1: obtainable, 0: not obtainable) ”.

  The data structure area is an area for storing the data format of the biological environment information detected by each sensor, and is an area having a fixed-length structure by encryption or compression encoding. The data format of the biological environment information detected by each sensor includes information such as the type of biological environment information and detection timing. The data area is a variable-length area for storing biological environment information detected by each sensor.

  By storing each of the plurality of biological environment information in such a data format, each of the biological environment information designated as “acquisable” in the header area conforms to the data format stored in the data structure area. It is stored in the data area in a format, and each of the biological environment information acquired at the same timing can be handled simultaneously. That is, each of a plurality of biological environment information can be synchronized.

  Next, in step 104, the biological environment information necessary for the comfort evaluation is extracted from the biological environment information stored in the data format. For example, it is possible to select and extract some of the biological environment information that is designated as obtainable. Here, a case where all the biological environment information stored in the data format is used will be described.

  Then, in order to integrate a plurality of pieces of biological environment information in subsequent processing, conversion is performed so that the detection time widths of the extracted pieces of biological environment information are made uniform. For example, it is assumed that the indoor temperature, the indoor humidity, and the body surface temperature are data detected every 10 seconds, the activity amount is detected every 350 milliseconds, and the stay position is data detected every minute. In this case, for example, the amount of activity is equalized to the detection time width (10 seconds) of the room temperature or the like by averaging 28 data included in 10 seconds. In addition, the stay position is calculated by linear interpolation between data at 1 minute intervals, and is aligned with the detection time width (10 seconds) such as the room temperature.

  Next, in step 106, principal component analysis based on a correlation matrix is performed on a plurality of pieces of biological environment information whose detection time widths are aligned in step 104, and integrated into one integrated data. Then, the integrated data is plotted on a comfort evaluation model (for example, FIG. 5) generated in advance. Based on which region of the comfort evaluation model the integrated data is plotted, whether the comfort level of the user 50 is “comfortable” or “uncomfortable” is evaluated.

  Next, in Step 108, it is determined whether or not the evaluation result in Step 106 is “uncomfortable”. In the case of “comfortable”, it is not necessary to control the state of the surrounding environment 52, and the process directly returns to step 100. on the other hand. In the case of “discomfort”, the process proceeds to step 110 in order to control the state of the surrounding environment 52.

  In step 110, a control signal for the air conditioner 54 is generated with reference to a control signal table generated in advance. For example, a control signal for causing the air conditioner 54 to execute the control of “increasing the room temperature by 1 ° C.” is generated.

  Next, in step 112, the control signal generated in step 110 is transmitted to the air conditioner 54. Communication between the environmental control apparatus 10 and the air conditioner 54 can be performed by infrared communication using an infrared device, for example. Further, when the air conditioner 54 is a device that supports network communication control, it is possible to perform communication using a communication protocol in accordance with the standard, for example, the ECHONET Lite standard. When the control signal is transmitted, the process returns to step 100.

  The air conditioner 54 that has received the control signal controls the state of the surrounding environment 52 based on the received control signal. For example, when the air conditioner 54 receives the control signal “increase the room temperature by 1 ° C.”, the air conditioner 54 operates the heating function so that the set temperature is increased by 1 ° C. and the room temperature is increased by 1 ° C. Let

  As described above, according to the environment control device according to the first embodiment, the comfort control is performed based on the comfort evaluation using the principal component analysis based on the correlation matrix of the plurality of biological environment information. Control to increase / decrease environmental information showing positive or negative correlation. Thereby, the state of the user's surrounding environment can be controlled so as to enhance comfort. In addition, by storing and synchronizing each of a plurality of biological environment information in one data format, handling of the plurality of biological environment information is facilitated, and even when performing multivariate analysis such as principal component analysis, Comfort evaluation can be performed in real time, and as a result, the state of the surrounding environment can also be controlled in real time.

  Next, a second embodiment will be described. Since the configuration of the environment control device according to the second embodiment is the same as the configuration of the environment control device 10 according to the first embodiment, detailed description thereof is omitted.

  Next, the operation of the environment control device 10 according to the second embodiment will be described. In the environment control apparatus 10 according to the second embodiment, the relearning process shown in FIG. 8 is executed in parallel with the execution of the environment control process (FIG. 7) similar to that of the first embodiment. In addition, each biological environment information acquired and converted in steps 100 to 104 of the environment control process is stored in a predetermined storage area for a predetermined time.

  In step 200 of the relearning process shown in FIG. 8, it is determined whether or not the user 50 has manually controlled the air conditioner 54 to control the state of the surrounding environment 52. This control is hereinafter referred to as “manual control”. The determination in this step is for estimating the comfort level of the user 50 based on whether or not the user 50 has performed manual control. When the user 50 performs manual control, it can be determined that the user 50 felt the current surrounding environment 52 as “uncomfortable” (low comfort level) before manual control. Further, since the surrounding environment 52 should be in a desired state of the user 50 after manual control, it can be determined that the user 50 feels “comfortable” (comfort level is high).

  When the user 50 performs manual control, a signal notifying that manual control has been performed is transmitted from the air conditioner 54 to the environment control device 10. The determination in this step is performed based on whether or not a notification transmitted from the air conditioner 54 has been received. If the notification has not been received, the determination in this step is repeated until the notification is received. When the notification is received, the process proceeds to step 202.

  In step 202, each of the biological environment information for the past predetermined time including the timing when the notification is received in step 200, that is, the timing manually controlled by the user 50, is acquired from the predetermined storage area. As the “predetermined time in the past”, a time (for example, 1 minute) assuming a time lag from when the user 50 starts to feel uncomfortable until manual control is determined in advance. Each of the biological environment information for the past predetermined time including the manually controlled timing is hereinafter referred to as “biological environment information before manual control”.

  Further, the user 50 waits for a predetermined time from the manually controlled timing, and acquires each of the biological environment information for a predetermined time after the predetermined time from the manually controlled timing from the predetermined storage area. The “predetermined time after the elapse of a predetermined time” is set in advance to a time (for example, 1 minute after the elapse of 1 minute) assuming a time lag until the surrounding environment 52 is manually controlled by the user 50. Each of the biological environment information for a predetermined time after the lapse of a predetermined time from the manually controlled timing is hereinafter referred to as “biological environment information after manual control”.

  Next, in step 204, the biological environment information before manual control is associated with the comfort level “uncomfortable”, and the biological environment information after manual control is associated with the comfort level “comfort”. In addition to the biological environment information used for learning the existing comfort evaluation model, the comfort evaluation model is relearned. The re-learned comfort evaluation model is used in step 106 of the environmental control process (FIG. 7) executed in parallel.

  As described above, according to the environmental control device according to the second embodiment, when the user performs manual control, the user's comfort level is estimated by manual control and detected according to the timing of manual control. Since the comfort evaluation model is re-learned using the biometric environment information thus obtained, the comfort level can be evaluated in consideration of the user's adaptability to the surrounding environment and the environment can be controlled based on the comfort level.

  In each of the above embodiments, the case where the body surface temperature, the amount of activity, and the stay position are used as the biological information has been described. However, the present invention is not limited to this. Other biological information such as an electroencephalogram, a heart rate, and an ocular potential may be detected. Note that the body surface temperature, the amount of activity, and the stay position used in each of the above-described embodiments can be detected stress-free because it is not necessary for the user to wear a sensor such as an electrode.

  Moreover, although each said embodiment demonstrated the case where indoor temperature and indoor humidity were used as environmental information, it is not limited to this. Other environmental information such as atmospheric pressure and illuminance may be detected. In this case, the device for controlling the state of the surrounding environment is not limited to the air conditioner, and a ventilation device or a lighting device can be applied.

  In each of the above embodiments, the environment information detected by the detection unit, the environment information used when learning the comfort evaluation model, and the environment information controlled by the air conditioner are all of the same type (room temperature and room humidity). Although cases have been described, they may be of different types. For example, the comfort evaluation model may be learned using room temperature and illuminance, the detected environment information may be only the room temperature, and the actual control may be illuminance. However, when these environmental information are of the same type, it is possible to evaluate comfort with high accuracy and to perform control with better response in the direction of increasing comfort.

  Moreover, although each said embodiment demonstrated the case where a person was made into object as a user, an object may be an animal.

DESCRIPTION OF SYMBOLS 10 Environment control apparatus 12 Detection part 13 Operation part 14 Display part 16 Control part 50 User 52 Ambient environment 54 Air conditioning apparatus

Claims (6)

Detecting means for detecting a plurality of pieces of biological environment information including at least one piece of biological information that affects the sensibility of the target biological body, and at least one environmental information indicating a state of a surrounding environment of the target biological body;
Based on a plurality of biological environment information detected by the detection means, and a comfort evaluation model learned by principal component analysis based on a correlation matrix of a plurality of biological environment information associated with comfort levels, An evaluation means for evaluating the level of comfort of the target living body;
Control for increasing environmental information showing a positive correlation with the comfort when the evaluation means evaluates that the comfort of the target living body is at a low level, and a negative correlation with the comfort Transmitting means for transmitting a control signal for performing at least one of control for reducing environmental information indicating to the external device for controlling the state of the surrounding environment;
Environmental control device including   When notified from the external device that the state of the surrounding environment has been controlled by the target living body, a plurality of pieces of biological environment information detected by the detecting means before the notification is handled with a low level of comfort. The environment control device according to claim 1, further comprising: a re-learning unit that re-learns the comfort evaluation model by associating a plurality of biological environment information detected by the detection unit after the notification with a high level of comfort. .   The environment control apparatus according to claim 1, further comprising a storage unit that stores each of the plurality of biological environment information detected by the detection unit in one data format.   4. The environment information detected by the detection unit, the environment information used for learning the comfort evaluation model, and the environment information controlled by the external device are the same type. 5. Environmental control equipment. A plurality of biological environment information including at least one biological information that affects the sensitivity of the target biological body and at least one environmental information indicating a state of the surrounding environment of the target biological body,
Based on a plurality of biological environment information detected by the detection means, and a comfort evaluation model learned by principal component analysis based on a correlation matrix of a plurality of biological environment information associated with comfort levels, Evaluate the level of comfort of the target organism,
Control for increasing environmental information showing a positive correlation with the comfort when the comfort of the target living body is evaluated to be low level, and environmental information showing a negative correlation with the comfort An environment control method for transmitting a control signal for performing at least one of the control for reducing the level to an external device for controlling the state of the surrounding environment. Computer
A plurality of pieces of biological environment information detected by detection means for detecting a plurality of pieces of biological environment information including at least one piece of biological information that affects the sensibility of the target living body and at least one environment information that indicates the state of the surrounding environment of the target living body And a comfort evaluation model learned by principal component analysis based on a correlation matrix of a plurality of biological environment information associated with comfort levels, and evaluation means for evaluating the comfort level of the target living body And, when the evaluation means evaluates that the comfort of the target living body is at a low level, control for increasing environmental information showing a positive correlation with the comfort, and negative with respect to the comfort. Functioning as a transmission means for transmitting a control signal for performing at least one of the control for lowering the environmental information indicating the correlation of the environmental information to the external device for controlling the state of the surrounding environment Because of environmental control program.