JP2017003203A - Estimation device, estimation method, and estimation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an estimation device which accurately estimates the concentration of a predetermined gas, and to provide an estimation method and an estimation program.SOLUTION: An estimation device according to one embodiment has an acquisition part and an estimation part. The acquisition part acquires a specification result regarding a creature from a specification part which specifies the creature in a room. The estimation part estimates an amount of a predetermined gas contained in breathing air of the creature on the basis of the specification result acquired by the acquisition part.SELECTED DRAWING: Figure 1

Description

  Embodiments described herein relate generally to an estimation device, an estimation method, and an estimation program.

  There are known techniques for estimating the concentration of a predetermined gas using a human sensor for detecting the presence or absence of a human or a gas sensor for detecting a predetermined gas in a room. The predetermined gas is, for example, carbon dioxide. However, the conventional technology using the human sensor may not be able to detect a person in the room with high accuracy. Further, in the conventional technology using a gas sensor, there is a case where the concentration of gas at a location away from the sensor cannot be detected. As a result, the conventional technology using a human sensor or a gas sensor may not be able to accurately estimate the gas concentration.

JP 2014-173826 A JP 2014-173799 A JP 2014-222116 A

  The problem to be solved by the present invention is to provide an estimation apparatus, an estimation method, and an estimation program capable of accurately estimating the concentration of a predetermined gas.

  The estimation apparatus according to the embodiment includes an acquisition unit and an estimation unit. An acquisition part acquires the specific result regarding a living thing from the specific part which specifies the living thing in a room. An estimation part estimates the quantity of the predetermined gas contained in the breath of living organisms based on the specific result acquired by the acquisition part.

The figure which shows the schematic example of a structure of the estimation system 1 containing the estimation apparatus 100 in 1st Embodiment. The figure which shows an example of a function structure of the estimation apparatus 100 in 1st Embodiment. The flowchart which shows an example of the flow of a process of the control part 110 in 1st Embodiment. The figure which shows an example of the volume of the room in the house H. It illustrates an example of table data representing the call of defined CO ₂ in accordance with the Human Age. Shows coefficients _{a i,} b _i, and _{d i,} a numerical example of a function _{c i.} Energy metabolic rate for human operator, human 1 person showing an example of a correspondence relationship between the amount of CO ₂ calls per unit time FIG. It shows an example of a CO ₂ concentration before occupancy. The figure which shows an example of the controlled variable of equipment. The figure which shows an example of a function structure of the estimation apparatus 100 in 2nd Embodiment. It shows an example of a CO ₂ concentration of each room in the house H. Diagram for explaining a method of estimating the concentration of CO ₂ chamber at the future.

  Hereinafter, an estimation apparatus, an estimation method, and an estimation program according to embodiments will be described with reference to the drawings.

(First embodiment)
FIG. 1 is a diagram illustrating a schematic example of a configuration of an estimation system 1 including an estimation apparatus 100 according to the first embodiment. The estimation system 1 in the present embodiment estimates the concentration of carbon dioxide (hereinafter referred to as “CO ₂ concentration”) in a predetermined building. The predetermined building is, for example, a house or a building. Hereinafter, in this embodiment, a predetermined building will be described as a house H. In this embodiment, carbon dioxide is described as “gas (gas)”.

  As shown in FIG. 1, in the house H, for example, the terminal device 10, the stove 12, the object specifying unit 14, the lighting 16, the entire building air conditioner 18, the individual air conditioner 20, and the automatic opening / closing door 22. An automatic opening / closing window 24, a ventilation fan 26, a biological sensor 28, and an estimation device 100 are provided. Each equipment in the house H described above is connected in a bidirectional or unidirectional manner by a network NW including a LAN (Local Area Network), a WAN (Wide Area Network), a serial communication line, and the like. Hereinafter, each equipment in the house H will be described. The object specifying unit 14 is an example of a “specifying unit”.

  The terminal device 10 is, for example, a smartphone, a mobile phone, a tablet, or the like that is operated by a room occupant. For example, the stove 12 operates so as to warm the inside of the house H in accordance with the operation of the resident. For example, the stove 12 emits carbon dioxide according to the target temperature during operation.

  The object specifying unit 14 detects an object in the house H and specifies whether the detected object is a living thing or an inanimate object. For example, when the house H is partitioned by a plurality of private rooms, at least one object specifying unit 14 is provided in each private room. The object specifying unit 14 includes, for example, a camera (not shown), an image processing unit, and a storage unit.

  The camera of the object specifying unit 14 is provided around the ceiling surface of each private room, for example, in order to observe almost the entire area of the private room. The camera captures an object in the house H and generates an image. The image processing unit performs image processing for extracting features such as feature amounts and feature points on the image generated by the camera, and compares the extracted features with the specified features stored in the storage unit in advance. It is specified whether the object of the image from which the feature is extracted is an organism such as a human being, an animal, or a plant, or an inanimate object such as the stove 12. The specified features include information stored in association with each resident's features (for example, facial features) from an image of the resident who lives in the home H, and various types of information provided in the home H. Information extracted from an image obtained by imaging a device in association with the source device, and information extracted from an image obtained by imaging an animal (pet) housed in the house H. ), Information stored in association with the extraction source plant, and the like.

  Through the processing using the specified characteristics, the object specifying unit 14 determines whether the detected object is a living human being, an animal (pet), a plant, or an inanimate device. Identify. When the specified object is a human, the object specifying unit 14 specifies the attribute of the human based on the specified human characteristics. Here, the attribute is information such as a person's age, sex, and the relationship of the person among a plurality of residents. For example, the object specifying unit 14 has an attribute indicating the age of the specified person as an age from a preschooler to an elementary school lower grade, an age from an elementary school upper grade to a junior high school student, or an age from an adult to an adult higher than a high school student. Classify into patterns. In addition, the object specifying unit 14 classifies the specified human being into, for example, a relationship such as mother, father, and child. Note that the object specifying unit 14 specifies that a resident in the house H is not a resident living in the house H but a visitor when the detected human feature does not match the resident's feature.

  In addition, the object specifying unit 14 may specify whether the object is a living thing or an inanimate object by the following processing instead of using the data indicating the specified characteristics. For example, the camera generates an image by a multispectrum including a near-infrared light wavelength band, a visible light wavelength band, a submillimeter wave wavelength band, and the like. The image processing unit specifies whether the object to be detected is a living organism or an inanimate object based on the multispectral image generated by the camera. More specifically, the image processing unit specifies that the object to be detected is a living object when the number of pixels whose light intensity is equal to or greater than a threshold value in a near-infrared wavelength image. The object specifying unit 14 outputs the specified information (hereinafter referred to as “object specifying information”) to the estimation device 100 described later. The object specifying information is an example of “specific result”.

  The object specifying unit 14 may be configured to include a motion sensor using infrared light, visible light, ultrasonic waves, or the like instead of the camera. In this case, the image processing unit of the object specifying unit 14 specifies whether or not the object is moving based on the detection value by the motion sensor. If the object is moving, the image is processed as a living thing (excluding plants). If there is something that does not move, it is identified as a plant or an inanimate device.

  The entire building air conditioner 18 has functions such as air conditioning and humidification / dehumidification. The entire building air conditioner 18 takes in outside air and adjusts the temperature, humidity, cleanliness, airflow, and the like of the air in the entire house H.

  The individual air conditioner 20 is provided for each private room, for example. The individual air conditioner 20 has functions such as air conditioning and humidification / dehumidification, and adjusts the temperature, humidity, cleanliness, airflow, and the like of the air in the house H based on the target temperature designated by the occupant.

  The automatic opening / closing door 22, the automatic opening / closing window 24, and the ventilation fan 26 have actuators such as a motor (not shown), for example, and operate so as to ventilate the air in the house H under the control of the estimation device 100 described later.

  The biosensor 28 is a wearable sensor attached to the body of a resident. The biological sensor 28 acquires biological information such as an electrocardiogram, a pulse, and a body temperature as the amount of activity of the resident. In addition, when the biosensor 28 has a gyro sensor, the biometric sensor 28 may acquire acceleration information indicating the motion of the occupant from the gyro sensor. The biosensor 28 is an example of an “activity amount detection unit”.

Estimating apparatus 100 acquires the object identification information from the object identifying unit 14, estimates the CO ₂ concentration in the housing H, the automatic door 22 so as to ventilate the housing H based on CO ₂ concentration estimated, automatic Part or all of the opening / closing window 24, the ventilation fan 26, the entire building air conditioner 18, and the individual air conditioner 20 are controlled. The estimation apparatus 100 is, for example, a HEMS (Home Energy Management System). Hereinafter, controlling part or all of the automatic opening / closing door 22, the automatic opening / closing window 24, the ventilation fan 26, the entire building air conditioner 18, and the individual air conditioner 20 so as to ventilate the house H is referred to as “ventilation control”.

  Hereinafter, the functional configuration of the estimation apparatus 100 will be described. FIG. 2 is a diagram illustrating an example of a functional configuration of the estimation apparatus 100 according to the first embodiment. The estimation apparatus 100 includes a communication interface 102, a control unit 110, and a storage unit 130.

  The communication interface 102 is a communication interface for connecting to the network NW, and includes, for example, a network card.

  The control unit 110 includes an acquisition unit 112, an estimation unit 114, a determination unit 116, a determination unit 118, and a device control unit 120. Part or all of the functional units of the control unit 110 described above is a software functional unit that functions when a processor such as a CPU (Central Processing Unit) executes a program stored in the storage unit 130. For example, the program is downloaded from the application server via the network NW described above. In addition, some or all of the functional units of the control unit 110 may be hardware functional units such as LSI (Large Scale Integration) and ASIC (Application Specific Integrated Circuit).

The storage unit 130 includes, for example, a nonvolatile storage medium such as a ROM (Read Only Memory), a flash memory, an HDD, and an SD card, and a volatile storage medium such as a RAM (Random Access Memory) and a register. The information stored in the storage unit 130 includes programs executed by the processor, mathematical expressions (1) to (3) described later, table data, CO ₂ concentration estimated by the estimation unit 114, and information on each room in the house H. Includes information such as volume.

  Hereinafter, processing of each functional unit of the control unit 110 in the first embodiment will be described according to a flowchart. FIG. 3 is a flowchart illustrating an example of a processing flow of the control unit 110 according to the first embodiment.

  The acquisition part 112 acquires various information from the equipment in the house H (step S100). Specifically, the object specifying information is acquired from the object specifying unit 14, and information indicating the operating state such as power on / off is acquired from the stove 12, the entire building air conditioner 18, the individual air conditioner 20, and the ventilation fan 26, Biological information such as an electrocardiogram and a pulse is obtained from the biosensor 28, and information indicating the degree of opening and closing is obtained from the respective actuators of the automatic opening / closing door 22 and the automatic opening / closing window 24. The acquisition unit 112 starts counting time when acquiring object specifying information that specifies a person from the object specifying unit 14, and thereafter, specifies object specifying information that specifies an object other than a person from the object specifying unit 14. When it is acquired, the count is finished. Hereinafter, the time counted in this way is referred to as “a time during which a person stays in a room (indoor)”. The acquisition unit 112 similarly counts the time when the object specifying information acquired from the object specifying unit 14 is another living organism such as an animal or a plant. Hereinafter, the time counted by the acquisition unit 112 when the object identification information is an animal is referred to as “time when the animal is present in the room (indoor)”, and when the object identification information is a plant, the acquisition unit 112. The time counted by the acquisition unit 112 when the object identification information is the device (inanimate) is referred to as “the time when the plant was present in the room (indoor)”. It will be referred to as “the time during which it was operating indoors”.

The estimation unit 114 estimates the CO ₂ concentration in the house H based on various information acquired by the acquisition unit 112 (step S102). The following equation (1) is an equation for deriving the CO ₂ concentration in the house H. CO ₂ concentration shown in Equation (1) (unit, for example [ppm]) has a CO ₂ concentration estimated to the current time, represented by the sum of the CO ₂ concentration estimated time immediately before the current time. Hereinafter, the CO ₂ concentration estimated to the current time, referred to as "CO ₂ concentration after occupancy", the CO ₂ concentration estimated immediately before the time, referred to as "CO ₂ concentration before occupancy". It should be noted that the initial value is substituted for the CO ₂ concentration before occupancy shown in Equation (1) at the start of operation where the CO ₂ concentration has never been estimated in the past. The initial value is set to, for example, an average CO ₂ concentration value (for example, 400 ppm) in the atmosphere.

The estimation unit 114 calculates the post-occupancy CO ₂ concentration used in Equation (1) based on Equation (2) below. The CO ₂ concentration after staying in the equation (2) is calculated by matching the unit of the value obtained by dividing the amount of CO ₂ after staying by the volume of the room (indoor) in the house H. The volume of the room in the house H is assumed to be stored in advance in the storage unit 130 as table data shown in FIG. FIG. 4 is a diagram illustrating an example of the volume of a room in the house H. The unit “tatami” shown in the figure is 1.65 m ² .

The estimation unit 114 calculates the CO ₂ amount after staying in the room represented by the above-described equation (2), that is, the CO ₂ amount of the room in the house H at the current time based on the equation (3).

As shown in Equation (3), the estimation unit 114 calculates the amount of CO ₂ [m ³ / h] that one person calls per unit time, the time during which the person stays in the room (indoor), a predetermined amount, A value obtained by multiplying the multiplication value of the coefficient a _i by the number of people in the room, the amount of CO ₂ [m ³ / h] that one animal calls per unit time, and the animal is present in the room (room) A value obtained by multiplying the multiplied time by a predetermined coefficient b _i by the number of animals, the amount of CO ₂ absorbed by one plant per unit time [m ³ / h], and the plant in the room (indoor) , The value obtained by integrating the product of the function c _i based on the time t and the illuminance of the lighting 16 by the number of plants, and the amount of CO ₂ emitted by one device per unit time [m ³ / h] and, equipment room time and that were running on the (room), the number fraction integration of devices multiplication value with a predetermined coefficient d _i The total of the four integrated values in total with the calculated value is calculated as the CO ₂ amount of the room in the house H. Thereby, the estimation apparatus 100 can always estimate a constant CO ₂ concentration even in a situation where the number of occupants in the room varies depending on the visitors.

FIG. 6 shows numerical examples of the coefficients a _i , b _i , d _i and the function c _i shown in Expression (3). FIG. 6 is a diagram illustrating numerical examples of the coefficients a _i , b _i , d _i and the function c _i . The initial values of the coefficients a _i , b _i , d _i and the function c _i are set to “1”. When ignoring the CO ₂ amount of animals, plants, and equipment, the coefficients b _i , d _i and the function c The value of _i may be “0”. In addition, when taking into account the CO ₂ emission amount by photosynthesis of plants, the CO ₂ emission amount may be derived using a function determined by two variables of time and illuminance.

In addition, the amount of CO ₂ that one person calls per unit time shown in Equation (3) is derived as follows, for example. When the object specifying information acquired by the acquisition unit 112 includes information indicating a human attribute, the estimation unit 114 includes the age (attribute) of the human and the CO ₂ defined according to the human age. Based on the table data representing the call amount, the amount of CO ₂ that one person calls per unit time is derived.

FIG. 5 is a diagram illustrating an example of table data representing the CO ₂ call amount defined according to the age of a person. When the object specifying information includes information indicating the age from the preschooler to the elementary school lower grade as an attribute indicating the age, the estimating unit 114 determines that one person is a unit according to the table data shown in FIG. The amount of CO ₂ called out per hour is derived as “0.011 m ² / h”.

Further, the estimation unit 114 may derive the amount of CO ₂ that one person calls per unit time, as shown in Equation (3), using the biological information of the biological sensor 28 and the table data shown in FIG. Good. FIG. 7 is a diagram showing an example of a correspondence relationship between the metabolic rate of energy for human work and the amount of CO ₂ that one person calls per unit time. For example, the estimation unit 114 refers to parameters such as an electrocardiogram, a pulse, and a body temperature included in the biological information, and estimates a human work state from which the biological information is acquired. The estimation unit 114 compares the magnitude relations of the various parameters with respect to each of the five threshold values, and estimates that the working state is heavy labor when the various parameters exceed the largest threshold value, for example. In this case, the estimation unit 114 searches and extracts the CO ₂ amount corresponding to the estimated heavy labor energy metabolism rate from the table data as shown in FIG. Thus, the estimation unit 114 derives the amount of CO ₂ that one person calls per unit time. Note that the threshold level is five in the example of FIG. 7 because it has six data items, but is not limited thereto. The threshold level may be increased as appropriate in accordance with the number of items of table data.

Further, the estimation unit 114 may weight the amount of CO ₂ derived from the table data illustrated in FIG. 7 according to the attribute of the person who is the acquisition source of the biological information. For example, when the human attribute from which the biometric information is acquired is female, the estimation unit 114 calls a value that is 0.9 times the amount of CO ₂ shown in the table data per unit time. Derived as the amount of CO ₂ . Further, for example, when the human attribute from which the biometric information is acquired is a child who is an elementary school student or less, the estimation unit 114 has a value that is 0.5 times the amount of CO ₂ shown in the table data. Derived as the amount of CO ₂ called per hour.

The estimation unit 114 sets the CO ₂ concentration before occupancy in Equation (1) as follows. FIG. 8 is a diagram showing an example of the CO ₂ concentration before being in the room. In the example of FIG. 8, the value of the CO ₂ concentration before staying in the room is derived from the number of people in the room, the CO ₂ concentration after staying in the room derived by the above-described equation (3), and the above-described equation (1). Corresponding to the concentration of CO ₂ and the presence or absence of ventilation control. The estimation unit 114 is derived based on the formula (1) when, for example, a certain person stays in the room for a predetermined time (for example, 1 hour) based on the object specifying information of the object specifying unit 14. the most recent CO ₂ concentration, derived as CO ₂ concentration before occupancy. Further, for example, when the ventilation control is performed for a predetermined time (for example, 1 hour) or longer, the estimation unit 114 sets the CO ₂ concentration before staying in the room as an initial value.

Hereinafter, an example of estimating the CO ₂ concentration will be described by substituting specific numerical values into the formulas (1) to (3). Formula (4) is, for example, that the value of the CO ₂ concentration before staying in the room is “400 ppm” that is the initial value, the value of the coefficient a _i is “1.0”, and the amount of CO ₂ related to animals, plants, and equipment is it is an example of derivation of the CO ₂ concentration values derived in the case of ignoring.

The determination unit 116 determines whether indoor ventilation is necessary based on the CO ₂ concentration estimated by the estimation unit 114. Specifically, the determination unit 116 determines whether or not the estimated CO ₂ concentration exceeds a threshold value (step S104), and determines that indoor ventilation is not necessary when the CO ₂ concentration does not exceed the threshold value. (Step S106), when the CO ₂ concentration exceeds the threshold, it is determined that indoor ventilation is required (Step S108). The threshold value is set to a value that prevents carbon dioxide contained in the air from accumulating in the human body and causing adverse effects and discomfort. For this reason, a threshold value is set to about 1000 ppm, for example.

When the determination unit 116 determines that indoor ventilation is necessary, the determination unit 118 performs automatic ventilation control, the automatic opening / closing door 22, the automatic opening / closing window 24, the ventilation fan 26, the entire building air conditioner 18, and the individual air conditioning so as to perform ventilation control. The control amount of each device 20 is determined (step S110). Specifically, the determination unit 118 determines the control amount of each device according to the table data as shown in FIG. FIG. 9 is a diagram illustrating an example of control amounts of equipment. For example, the determination unit 118 refers to the table data illustrated in FIG. 9 and extracts a control amount corresponding to the CO ₂ concentration estimated by the estimation unit 114. When the CO ₂ concentration is 2000 ppm, the determination unit 118 determines the control amount so as to increase the air volume of the entire building air conditioner 18 and open the automatic opening / closing door 22 and the automatic opening / closing window 24 for 5 seconds.

  The device control unit 120 controls some or all of the automatic opening / closing door 22, the automatic opening / closing window 24, the ventilation fan 26, the entire building air conditioner 18, and the individual air conditioner 20 based on the control amount determined by the determining unit 118. (Step S112).

According to the first embodiment described above, the acquisition unit 112 that acquires object specifying information from the object specifying unit 14 and the predetermined gas discharged from the object based on the object specifying information acquired by the acquiring unit 112 By providing the estimation unit 114 that estimates the amount of CO ₂ (CO ₂ amount), it is possible to accurately estimate the concentration (CO ₂ concentration) of a predetermined gas. Thereby, the estimation apparatus 100 in the first embodiment can control the equipment to ventilate the room based on the estimated gas concentration (CO ₂ concentration). As a result, the estimation apparatus 100 according to the first embodiment can provide a comfortable environment for the occupants.

Further, according to the first embodiment, when the object identification information acquired from the object identification unit 14 includes information indicating that the person is a person, a predetermined gas amount (CO ₂ amount) according to the number of persons. ) Can be estimated. As a result, the estimation apparatus 100 according to the first embodiment maintains the indoor environment so as to always maintain a constant gas concentration (CO ₂ concentration) even in a situation where the number of people in the room varies depending on the visitors. Can be controlled.

(Second Embodiment)
Hereinafter, the second embodiment will be described. The estimation apparatus 100 according to the second embodiment is different from the first embodiment in that when the determination unit 116 determines that ventilation is necessary, the notification is made to the outside. Therefore, it demonstrates centering on the difference and the description about a common part is abbreviate | omitted.

  FIG. 10 is a diagram illustrating an example of a functional configuration of the estimation apparatus 100 according to the second embodiment. The control unit 110 in the second embodiment further includes an output control unit 122. The communication interface 102 and the output control unit 122 are examples of an “output unit”.

  The output control unit 124 controls the communication interface 102 to output information indicating that ventilation is necessary to the terminal device 10 or the like when the determination unit 116 determines that ventilation is required in the room. Thereby, the estimation device 100 can prompt the occupant who operates the terminal device 10 to open a window or door to ventilate.

Further, when the determination unit 116 determines that the room needs ventilation, the output control unit 124 outputs information prompting the user to move to a room different from the room requiring ventilation to the terminal device 10 or the like. Also good. FIG. 11 is a diagram illustrating an example of the CO ₂ concentration in each room in the house H. In the example of FIG. 11, it is assumed that the occupant is in the Western room 1. In this case, the determination unit 116 determines that the Western room 1 needs to be ventilated because the CO ₂ concentration of the Western room 1 exceeds the threshold value of 1000 ppm. In response to the determination result of the determination unit 116, the output control unit 124 outputs information prompting the occupant's terminal device 10 in the western room 1 to move to another room such as the western room 2 or the living room. Accordingly, the occupant can recognize that the indoor environment is deteriorating and can take an action of moving to another room.

  According to the second embodiment described above, by outputting information based on the determination result of the determination unit 116 to the terminal device 10 or the like, the occupant is made aware that the indoor environment has deteriorated. You can open windows and doors to encourage ventilation, or move to another room with a low gas concentration.

(Third embodiment)
Hereinafter, a third embodiment will be described. The estimation apparatus 100 according to the third embodiment is different from the first and second embodiments in that the concentration of indoor gas in the future is estimated. Therefore, it demonstrates centering on the difference and the description about a common part is abbreviate | omitted.

The estimation unit 114 estimates the indoor CO ₂ concentration in the future based on the CO ₂ concentration estimated so far. FIG. 12 is a diagram for explaining a method of estimating the indoor CO ₂ concentration in the future. Estimation unit 114, as in the example of FIG. 12, by using the estimated data of the CO ₂ concentration time series were estimated up to the current time t0, to estimate the concentration of CO ₂ after the time t0. For example, the estimation unit 114 may estimate the CO ₂ concentration after time t0 by extrapolation, or may derive the fitting curve of the estimated data to estimate the CO ₂ concentration after time t0.

Based on the future CO ₂ concentration estimated by the estimation unit 114, the determination unit 116 determines whether indoor ventilation is necessary at the current time t0. Specifically, when it is predicted that the CO ₂ concentration exceeds the threshold at time t1 when a predetermined time has elapsed from the current time t0, the determination unit 116 indicates that indoor ventilation is required at the current time t0. judge.

  The output control unit 124 controls the communication interface 102 to output information indicating that ventilation is necessary to the terminal device 10 or the like when the determination unit 116 determines that ventilation is required in the room. Accordingly, the estimation device 100 according to the third embodiment can output information based on the determination result of the determination unit 116 to the terminal device 10 or the like in advance when the indoor environment is expected to deteriorate after a predetermined time. it can. As a result, the estimation apparatus 100 according to the third embodiment can prompt the occupant to ventilate in advance before the indoor environment deteriorates.

Hereinafter, other examples (modifications) will be described.
The whole building air conditioner 18 or the individual air conditioner 20 in the embodiment described above may have a part or all of the functions of the control unit 110 of the estimation device 100. In this case, central air conditioning device 18 or a separate air conditioning system 20, obtains the object identification information from the object identifying unit 14, estimates the CO ₂ concentration in the housing H, the housing H based on CO ₂ concentration estimated Adjust the air temperature, humidity, cleanliness, airflow, etc. for ventilation.

According to at least one embodiment described above, the acquisition unit 112 that acquires object specifying information from the object specifying unit 14 and the predetermined gas discharged from the object based on the object specifying information acquired by the acquiring unit 112 By providing the estimation unit 114 that estimates the amount of CO ₂ (CO ₂ amount), it is possible to accurately estimate the concentration (CO ₂ concentration) of a predetermined gas. Thereby, the estimation apparatus 100 in the first embodiment can control the equipment to ventilate the room based on the estimated gas concentration (CO ₂ concentration). As a result, the estimation apparatus 100 according to the first embodiment can provide a comfortable environment for the occupants.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 ... Estimation system, 10 ... Terminal device, 12 ... Stove, 14 ... Object specific unit, 16 ... Illumination, 18 ... Whole building air conditioner, 20 ... Individual air conditioner, 22 ... Automatic opening / closing door, 24 ... Automatic opening / closing window, 26 ... Ventilation fan, 100 ... estimation device, 102 ... communication interface, 110 ... control unit, 112 ... acquisition unit, 114 ... estimation unit, 116 ... determination unit, 118 ... determination unit, 120 ... device control unit, 122 ... output control unit, 130 ... memory part

Claims (9)

An acquisition unit for acquiring a specific result related to the organism from a specific unit for specifying an organism in the room;
Based on the specific result acquired by the acquisition unit, an estimation unit that estimates the amount of a predetermined gas contained in the breathing air of the organism;
An estimation apparatus comprising: The specifying unit specifies the human attribute when the specified organism is a human,
The acquisition unit acquires a specific result including the human attribute from the specific unit,
The estimation unit estimates a predetermined amount of gas included in the human exhalation based on a specific result including the human attribute acquired by the acquisition unit.
The estimation apparatus according to claim 1. An activity amount detection unit for detecting the activity amount of the organism;
The estimation unit estimates the amount of a predetermined gas contained in the breathing air of the living organism based on the activity amount detected by the activity amount detection unit.
The estimation apparatus according to claim 1 or 2. The acquisition unit further acquires the time during which the organism was present in the room based on the specification result acquired from the specification unit,
The estimation unit estimates the concentration of the predetermined gas in the room based on the time acquired by the acquisition unit and the amount of the predetermined gas.
The estimation apparatus according to any one of claims 1 to 3. The estimation unit estimates the concentration of the predetermined gas in the room in the future based on the amount of the predetermined gas included in the respiratory air of the organism estimated in the past.
The estimation apparatus according to any one of claims 1 to 4. A determination unit that determines whether the room should be ventilated based on the amount of the predetermined gas estimated by the estimation unit;
A determination unit that determines a control amount of the equipment in the room when the determination unit determines that the room should be ventilated;
The estimation apparatus according to any one of claims 1 to 5. A determination unit that determines whether the room should be ventilated based on the amount of the predetermined gas estimated by the estimation unit;
An output unit that outputs information based on a determination result by the determination unit when the determination unit determines that the room should be ventilated;
The estimation apparatus according to any one of claims 1 to 6. Acquire the specific result about the living thing from the specific part that specifies the living thing in the room,
Based on the identification result, an amount of a predetermined gas contained in the breathing air of the living organism is estimated.
Estimation method. On the computer,
Obtaining a specific result related to the organism from a specific unit for specifying an indoor organism;
Estimating the amount of a predetermined gas contained in the breathing air of the organism based on the identification result;
Estimated program to execute.

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