JP2020118449A - Pollution degree estimation device and pollution degree estimation method - Google Patents

Abstract

To provide a pollution degree estimation system capable of accurately estimating the distribution of pollution degree in space.SOLUTION: A pollution degree estimation device 1 includes: air information acquisition unit 11 for acquiring air information regarding pollutants contained in air sucked by an air blower 20 in space; spatial information acquisition unit 12 that acquires spatial information about states in the space; and an estimation unit 13 that estimates the distribution of the pollution degree in the space based on the air information and the spatial information.SELECTED DRAWING: Figure 1

Description

The present invention relates to a pollution degree estimation device and a pollution degree estimation method for estimating a distribution of a pollution degree in a space such as an indoor space (a risk degree of pollution by a pollutant, a discomfort degree, etc.).

BACKGROUND ART Conventionally, there is known a system that measures a pollutant in a space and estimates a distribution of a pollution degree in the space (for example, Patent Document 1).

JP, 2006-177685, A

By the way, depending on the state of the space, such as the state of a person existing in the space, the distribution of the degree of pollution in the space may change, and as in the system according to Patent Document 1, contaminants in the space may change. It is difficult to accurately estimate the distribution of pollution degree in space only by measuring.

Therefore, an object of the present invention is to provide a pollution degree estimation device and a pollution degree estimation method that can accurately estimate the distribution of the pollution degree in space.

A pollution degree estimation device according to an aspect of the present invention acquires an air information acquisition unit that acquires air information regarding a pollutant contained in air sucked by a blower in a space, and a space information regarding a state in the space. A spatial information acquisition unit, and an estimation unit that estimates a distribution of the degree of pollution in the space based on the air information and the spatial information.

A pollution degree estimation method according to an aspect of the present invention includes an air information acquisition step of acquiring air information regarding a pollutant contained in air sucked by a blower in a space, and space information related to a state in the space. It includes a spatial information acquisition step and an estimation step of estimating a distribution of a pollution degree in the space based on the air information and the spatial information.

According to the pollution degree estimation device and the pollution degree estimation method according to an aspect of the present invention, it is possible to accurately estimate the distribution of the pollution degree in space.

FIG. 1 is a configuration diagram showing an example of a pollution degree estimation system according to an embodiment. FIG. 2 is a top view showing an example of the space in the facility. FIG. 3 is a flowchart showing an example of the operation of the pollution degree estimation device according to the embodiment. FIG. 4A is a diagram showing a first example of air information and space information. FIG. 4B is a diagram showing a first example of the distribution of the estimated pollution degree. FIG. 5A is a diagram showing a second example of air information and space information. FIG. 5B is a diagram showing a second example of the distribution of the estimated pollution degree. FIG. 6A is a diagram showing a third example of air information and space information. FIG. 6B is a diagram showing a third example of the distribution of the estimated pollution degree.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. It should be noted that each of the embodiments described below shows a preferred specific example of the present invention. Therefore, the numerical values, the components, the arrangement and connection form of the components, the steps (processes), the order of the steps, and the like shown in the following embodiments are examples, and are not intended to limit the present invention. Therefore, among the constituent elements in the following embodiments, the constituent elements that are not described in the independent claims showing the highest concept of the present invention are described as arbitrary constituent elements.

In addition, each drawing is a schematic view, and is not necessarily strictly illustrated. Further, in each drawing, the same constituent elements are designated by the same reference numerals.

(Embodiment)
Hereinafter, embodiments will be described with reference to FIGS. 1 to 6B.

[Constitution]
FIG. 1 is a configuration diagram showing an example of a pollution degree estimation system 1 according to an embodiment.

The pollution degree estimation system 1 is a system for estimating the distribution of the pollution degree in a space such as an indoor space of a facility (house, office, store, hospital, factory, etc.). The degree of pollution indicates, for example, the degree of risk of contamination by contaminants, the degree of discomfort, and the like, and a place with a high degree of contamination is a place where a person may be infected with an infectious disease or a person may feel uncomfortable. Pollutants include, for example, harmful substances (heavy metals, asbestos, etc.), dust, pathogens (viruses, bacteria, etc.), pollen, PM2.5, mold, aromatic compounds and other various particles (particles, molecules, atoms). , Particulate matter, etc.) and the like. Here, description will be given using an example in which a pathogen (microorganism such as bacteria, virus, etc.) is mainly assumed as a pollutant.

As shown in FIG. 1, the pollution degree estimation system 1 includes a blower device 20 and a sensor 30 installed in a space in a facility, and a pollution degree estimation device 10 installed in a space in a facility or a management room. Equipped with. Here, an example of the space will be described with reference to FIG.

FIG. 2 is a top view showing an example of the space 100 in the facility. For example, the air blower 20 is installed near the center of the space 100, and the sensor 30 is installed at a position such as a corner of the space 100 overlooking the entire space 100. Although the pollution degree estimation device 10 is not installed in the space 100, it is not shown in FIG. 2, but may be installed in the space 100. In addition, the space 100 has a door 51 and a window 52. The space 100 is a spatial area for which the pollution degree estimation device 10 estimates the distribution of the pollution degree, and the pollution degree for each place in the space 100 is estimated. In the space 100, the distribution of the degree of pollution may change due to the presence and behavior of people, the opening and closing of the door 51 and the window 52, the presence of the blower 20, and the like.

The air blower 20 is an air blower such as an air cleaner having a function of sucking the air in the space 100. Further, the blower device 20 has a sensor 21. The sensor 21 is, for example, an air quality sensor, and senses the presence or absence of dirt or contaminants in the sucked air. The blower device 20 has, for example, a communication interface (communication circuit or the like), and transmits information obtained by sensing and the operating state of the blower device 20 to the pollution degree estimation device 10.

The sensor 30 is a sensor that senses a state in the space 100, and is, for example, a camera. The sensor 30 (camera) acquires an image obtained by photographing the space 100. The sensor 30 has, for example, a communication interface (communication circuit or the like), and transmits the image to the pollution degree estimation device 10.

The pollution degree estimation device 10 is a computer including a processor (microprocessor), a memory, a communication interface (communication circuit, etc.), a user interface, and the like. The user interface includes, for example, a display such as an LCD (Liquid Crystal Display), and an input device such as a keyboard and a touch panel. The memory is a ROM, a RAM, or the like, and may include, for example, a non-volatile memory. The processor executes a program stored in the memory to control the communication interface, the display, and the like. A program for causing the processor to execute the processing is stored in the memory. The pollution degree estimation device 10 may include a hard disk device or the like.

As shown in FIG. 1, the pollution degree estimation device 10 having the above-described hardware configuration includes an air information acquisition unit 11 and a space as functional blocks (components in terms of function) for estimating the distribution of the pollution degree. The information acquisition unit 12, the estimation unit 13, and the output unit 14 are provided. The air information acquisition unit 11, the spatial information acquisition unit 12, the estimation unit 13, and the output unit 14 are realized by, for example, a processor that executes a program stored in a memory, but are realized by a microcomputer or a dedicated circuit or the like. May be done. Hereinafter, each of these components will be described.

The air information acquisition unit 11 analyzes the information obtained by the sensor 21 (air quality sensor) and acquires the air information regarding the pollutants contained in the air in the space 100. Details of the air information will be described later with reference to FIG. 4A.

The spatial information acquisition unit 12 analyzes the image captured in the space 100 by the sensor 30 (camera) (that is, the image obtained by the capturing) by using the existing image recognition or the like, and thereby relates to the state in the space 100. Get spatial information. At this time, the spatial information acquisition unit 12 acquires spatial information by analyzing an image group obtained by repeatedly capturing an image of the space 100 by the sensor 30 (camera) at regular intervals such as a few seconds and a few minutes. Further, the spatial information acquisition unit 12 acquires the spatial information by receiving an input from a user (a facility manager, a user, etc.) via an input device, for example. In addition, the spatial information acquisition unit 12 acquires from the blower device 20 information regarding the operating state of the blower device 20. Details of the spatial information will be described later with reference to FIG. 4A.

The estimation unit 13 estimates the distribution of the pollution degree in the space 100 based on the air information acquired by the air information acquisition unit 11 and the spatial information acquired by the spatial information acquisition unit 12. The estimation of the contamination degree distribution by the estimation unit 13 is realized by, for example, writing the estimated contamination degree distribution in a storage medium such as a memory or a hard disk. The estimation result by the estimation unit 13 is used by the output unit 14. Details of the operation of the estimation unit 13 and an example of the estimation result will be described later with reference to FIGS. 2 to 5B.

The output unit 14 outputs the pollution degree information indicating the distribution of the pollution degree estimated by the estimation unit 13 to a user interface such as a display. Further, for example, the output unit 14 may output the pollution degree information to a mobile terminal such as a smartphone or a tablet via a communication interface.

[motion]
Next, the operation of the pollution degree estimation device 10 will be described with reference to FIGS. 3 to 6B.

FIG. 3 is a flowchart showing an example of the operation of the pollution degree estimation device 10 according to the embodiment.

The air information acquisition unit 11 acquires air information (step S11). In addition, the spatial information acquisition unit 12 acquires spatial information (step S12). The process of step S11 may be performed before the process of step S12 may be performed, or the process of step S12 may be performed before the process of step S11. Here, the air information and the space information will be described with reference to FIG. 4A.

FIG. 4A is a diagram showing a first example of air information and space information.

The air information includes genome information (microbiome information) of the pollutant, and the air information acquisition unit 11 analyzes the type of the pollutant based on the genome information of the pollutant sampled by the sensor 21. For example, suppose the contaminant is analyzed to be a virus.

The space information includes information about a person existing in the space 100, and specifically includes information about the presence/absence of a person existing in the space 100, information about the number of people, attribute information of the person, and information about the behavior of the person. The spatial information acquisition unit 12 analyzes the image obtained by photographing with the sensor 30 (camera) to acquire information regarding the presence or absence of a person indicating that one person exists in the space 100. In addition, the spatial information acquisition unit 12 acquires the attribute information of the person indicating that he is hospitalized due to a cold, for example, by inputting the visit history of the person or the like via an input device. The spatial information acquisition unit 12 analyzes a group of images obtained by repeatedly capturing the space 100 with the sensor 30 (camera) at regular intervals, and a person stays at the position p1 in the space 100 for 10 minutes. Acquire information about the behavior of a person who indicates that.

Further, the spatial information includes information regarding opening and closing of the door 51 or the window 52 existing in the space 100, and the spatial information acquisition unit 12 is obtained by repeatedly photographing the space 100 with the sensor 30 (camera) at regular intervals. The image group is analyzed to acquire the number of times the door 51 or the window 52 has been opened and closed in a specific period. For example, it is assumed that the spatial information acquisition unit 12 acquires information about opening and closing, which indicates that the window 52 is opened and closed once and the door 51 is opened and closed 20 times in a specific period.

In addition, the space information includes information on the blower device 20 existing in the space 100, and specifically, information on the type of the blower device 20, information on the position of the blower device 20 in the space 100, and an operating state of the blower device 20. Contains information about. For example, it is assumed that, in the memory of the pollution degree estimation device 10, information indicating that the blower device 20 is an air cleaner is stored in advance as information regarding the type of the blower device 20. As a result, the spatial information acquisition unit 12 acquires information regarding the type of the blower device 20 indicating that the blower device 20 is an air purifier. In addition, the space information acquisition unit 12 analyzes the image obtained by the image capturing by the sensor 30 (camera), and in the space 100 of the air blower 20 indicating that the air blower 20 (air purifier) is at the position p2. Get information about the location of. In addition, the spatial information acquisition unit 12 acquires, from the air blower 20 (air purifier), information regarding the operating state of the air blower 20 that indicates that the air blower 20 is operating to clean the air.

In this way, the air information acquisition unit 11 and the space information acquisition unit 12 acquire the air information and the space information based on the information input to the blower device 20 (sensor 21), the sensor 30, and the input device.

Next, the estimation unit 13 estimates the distribution of the pollution degree in the space based on the air information and the space information (step S13). Specifically, the estimation unit 13 estimates the distribution of the pollution degree on the surface of the air and the object in the space based on the air information and the space information. For example, when the pollutants contained in the air are highly dangerous to humans, it can be estimated that the pollution level of the entire space 100 is high. Also, for example, a person may be a source of pollution when infected with a virus, and the area around the area where the person is staying or the area in the direction in which the person was facing when sneezing It can be estimated that the degree of pollution will increase. Further, for example, the door 51 or the window 52 is a place where a contaminant such as a virus can enter, and it can be estimated that the more the number of times the door is opened and closed, the higher the degree of pollution around the door 51 or the window 52. Information indicating the size of the door 51 or the window 52 may be stored in the memory included in the pollution degree estimation device 10, and the pollution degree around the door 51 or the window 52 may be stored according to the size. It may be estimated. Further, for example, the air purifier can remove contaminants such as viruses around the air purifier, and it can be estimated that the degree of pollution around the air purifier is low. In this way, the estimation unit 13 estimates the distribution of the degree of pollution on the surface of the air and the object in the space 100 based on the air information and the space information including these pieces of information.

The distribution of the degree of pollution on the surface of an object (for example, carpet, flooring, table, chair, etc.) existing in the space 100 is the distribution of the degree of pollution in the air and the surface characteristics of the object (for example, contaminants such as viruses). It can be estimated based on the characteristics regarding the ease of adhesion). For example, it is assumed that the characteristics of the surface of the object existing in the space 100 are stored in advance in the memory included in the pollution degree estimation device 10. As a result, the estimation unit 13 weights the distribution of the pollution degree in the air around each object existing in the space 100, for example, using the easiness of adhesion of contaminants such as viruses on the surface of each object as a coefficient. The distribution of the pollution degree on the surface of the object can be estimated by performing.

Next, the estimation result of the distribution of the pollution degree in the space 100 by the estimation unit 13 will be described with reference to FIG. 4B. In addition, below, although the estimation result of the distribution of the pollution degree in the air in the space 100 will be described, the distribution of the pollution degree on the surface of the object can be similarly estimated based on the distribution of the pollution degree in the air. Therefore, the description is omitted.

FIG. 4B is a diagram showing a first example of the distribution of the estimated pollution degree. The gray scale shown in FIG. 4B means that the darker the color, the higher the pollution degree. The same applies to FIGS. 5B and 6B described later.

FIG. 4B shows the distribution of the pollution degree in the air in the space 100 estimated based on the air information and the space information shown in FIG. 4A, and the distribution of the pollution degree is expressed using a two-dimensional map. .. Note that the distribution of the pollution degree may be expressed using a three-dimensional map or the like. The a virus is, for example, a virus having a low risk to humans, and the degree of contamination in the space 100 is low as a whole. The degree of pollution around the place where a person 40 who has a history of visiting a cold stays for 10 minutes is high. Since the number of times the door 51 is opened and closed is large and the number of times the window 52 is opened and closed is small, the degree of pollution around the door 51 is high and the degree of pollution around the window 52 is low. The degree of pollution around the place where the blower 20 (air purifier) during the cleaning operation is installed is low. In this way, the estimation result of the distribution of the pollution degree in the space 100 as described above is obtained.

Then, the output unit 14 outputs the pollution degree information indicating the distribution of the pollution degree estimated by the estimation unit 13 to a display, a mobile terminal, or the like (step S14). For example, the image as shown in FIG. 4B is output to the display, the mobile terminal, etc., and the display, the mobile terminal, etc. displays the image. Further, the output unit 14 may output the pollution degree information to the pollution countermeasure device. The pollution control device is a device that is disposed in the space 100 and has a pollution control function such as preventing pollution or cleaning a contaminated area. For example, a substance having a sterilizing function is sprayed in the space 100. .. The substance is, for example, a drug containing hypochlorous acid, hydrogen peroxide or chlorine dioxide, or a gas containing disinfecting ions such as NanoE (registered trademark). The pollution control device controls the concentration, spraying direction, etc. of the substance based on the pollution level information in order to remove bacteria in a highly polluted place in the space 100.

The air information and the space information shown in FIG. 4A, and the estimation result shown in FIG. 4B are examples, and other examples will be described below.

FIG. 5A is a diagram showing a second example of air information and space information. FIG. 5B is a diagram showing a second example of the distribution of the estimated pollution degree. The second example of the air information and the spatial information shown in FIG. 5A differs from the first example shown in FIG. 4A in the pollutants contained in the air information. The other points are the same as those of the first example shown in FIG. 4A, and the description thereof will be omitted.

Suppose the contaminant was analyzed to be the b virus, as shown in Figure 5A. The b virus is, for example, a virus having a higher risk to humans than the a virus. Therefore, as shown in FIG. 5B, in the estimation result of the distribution of the pollution degree in the space 100 in the second example, the pollution degree is generally higher than that in the first example.

FIG. 6A is a diagram showing a third example of air information and space information. FIG. 6B is a diagram showing a third example of the distribution of the estimated pollution degree. The third example of the air information and the spatial information shown in FIG. 6A is different from the first example shown in FIG. 4A in the attribute information and the action information of the person included in the spatial information. The other points are the same as those of the first example shown in FIG. 4A, and the description thereof will be omitted.

The spatial information acquisition unit 12 analyzes the image obtained by shooting with the sensor 30 (camera) to acquire attribute information indicating that the person 40 existing in the space 100 is an adult male. Further, the spatial information acquisition unit 12 analyzes an image group obtained by repeatedly capturing the space 100 with the sensor 30 (camera) at regular intervals, and the person 40 is sneezing at the position p3 in the space 100. Acquire information about the behavior of a person who indicates that. At this time, the spatial information acquisition unit 12 also acquires information regarding the direction in which the person 40 is facing. The sensor 30 may have a microphone, and the spatial information acquisition unit 12 analyzes the voice obtained by the microphone to improve the accuracy of recognition that the person 40 is sneezing. Good. As a result, as shown in FIG. 6B, in the estimation result of the distribution of the pollution degree in the space 100 in the third example, the pollution degree in the region in the front direction of the person 40 is high. Since the scattering distance of pollutants due to sneezing depends on the vital capacity, the size of the region in the front direction of the person 40 is the size corresponding to the vital capacity of the adult male.

[Effects, etc.]
As described above, the pollution degree estimation device 10 according to the present embodiment includes the air information acquisition unit 11 that acquires the air information regarding the pollutants contained in the air sucked by the blower device 20 in the space 100, and the space 100. A spatial information acquisition unit 12 that acquires spatial information regarding the state of the interior, and an estimation unit 13 that estimates the distribution of the pollution degree in the space 100 based on the air information and the spatial information.

Thereby, the distribution of the pollution degree in the space 100 is estimated based on not only the air information about the pollutants but also the space information about the state in the space 100 (for example, the state of the person 40 existing in the space 100). Therefore, the distribution of the pollution degree in the space 100 can be accurately estimated. For example, by increasing the accuracy of estimating the distribution of the pollution degree in the space 100, it is possible to accurately sterilize a place having a high pollution degree by a pollution countermeasure device or the like that can be controlled according to the estimation result. Further, conventionally, in order to accurately estimate the distribution of the pollution degree in the space 100, it was necessary to collect and incubate the pollutants at each place in the space 100, but according to the present invention, the space 100 is collected. It is possible to easily and accurately estimate the distribution of the degree of pollution inside.

In addition, the estimation unit 13 may estimate the distribution of the pollution degree on the surface of the air and the object in the space 100 based on the air information and the space information.

As a result, it is possible not only to let the user (facility manager, user, etc.) recognize not only highly polluted places in the air but also highly polluted places on the surface of the object, and to sterilize them with high precision. it can.

The pollution degree estimation device 10 may further include an output unit 14 that outputs the distribution of the pollution degree.

Thereby, the distribution of the pollution degree can be displayed on the display or the like, and the pollution countermeasure device or the like can be controlled according to the distribution of the pollution degree.

The spatial information may also include information about the person 40 existing in the space 100.

Thereby, the distribution of the pollution degree affected by the person 40 existing in the space 100 can be estimated.

The information about the person 40 may include attribute information of the person 40 existing in the space 100.

Thereby, the distribution of the pollution degree affected by the attribute information of the person 40 existing in the space 100 can be estimated.

The information about the person 40 may include information about the behavior of the person 40 existing in the space 100.

Thereby, the distribution of the pollution degree affected by the action of the person 40 existing in the space 100 can be estimated.

Further, the space information may include information regarding opening/closing of the door 51 or the window 52 existing in the space 100.

Accordingly, it is possible to estimate the distribution of the pollution degree affected by the opening and closing of the door 51 or the window 52 existing in the space 100. For example, it can be estimated that the more the door 51 or the window 52 is opened and closed, the higher the degree of pollution around the door 51 or the window 52 is.

Further, the space information may include information about the blower device 20 existing in the space 100.

Thereby, the distribution of the pollution degree affected by the blower device 20 existing in the space 100 can be estimated.

Further, the information regarding the blower device 20 may include information regarding the type of the blower device 20.

This makes it possible to estimate the distribution of the pollution degree affected by the type of the blower device 20 existing in the space 100.

Further, the information regarding the blower device 20 may include information regarding the position of the blower device 20 in the space 100.

This makes it possible to estimate the distribution of the degree of pollution affected by the position of the blower device 20 existing in the space 100.

Further, the information regarding the blower device 20 may include information regarding the operating state of the blower device 20.

This makes it possible to estimate the distribution of the degree of pollution affected by the operating state of the blower device 20 existing in the space 100. For example, when the type of the air blower 20 is an air purifier, it can be estimated that the degree of pollution around the air blower 20 in operation is low.

Further, the air information may include genomic information of pollutants.

As a result, the type of pollutant can be analyzed, and the distribution of the pollution degree can be estimated more accurately.

Further, the spatial information may be information based on an image obtained by photographing the space 100 with a camera.

This makes it easier to recognize the states of the person 40, the door 51, and the window 52 existing in the space 100 by analyzing the image obtained by the camera.

(Other embodiments)
The pollution degree estimation device 10 according to the embodiment has been described above, but the present invention is not limited to the above embodiment.

For example, although the sensor 30 is a camera in the above embodiment, it may be a human sensor or the like. Even in this case, the spatial information acquisition unit 12 can acquire information regarding the presence or absence of people and the number of people.

Further, for example, in the above embodiment, the air blower 20 is an air purifier, but may be an air conditioner or the like. In this case, the spatial information acquisition unit 12 acquires, as the information on the operating state of the air blower 20, information on the air blow direction, the output intensity, etc. of the air blower 20. Since the distribution of the pollution degree may change according to the airflow in the space 100, the estimation unit 13 may increase the pollution degree along the airflow according to, for example, the blowing direction of the blower device 20, the output intensity, and the like. The distribution of various pollution levels can be estimated. Further, a plurality of blowers may be installed in the space 100, and it is sufficient that at least one of the blowers has the sensor 21.

Further, for example, in the above-mentioned embodiment, the attribute information of a person includes a history of hospital visits, age (age), sex, etc., but may include height, weight, lifestyle or genetic information, etc. Good. For example, the spatial information acquisition unit 12 can acquire attribute information regarding the height or weight of the person by analyzing the image obtained by the image pickup by the sensor 30 (camera). Further, for example, the spatial information acquisition unit 12 can acquire attribute information relating to the lifestyle or genetic information of the person by inputting the lifestyle or genetic information of the person via the input device.

In addition, for example, in the above-described embodiment, the information about the behavior of the person includes information about the behavior of the person, the stay time, the stay place (contact place), the sneeze, etc. May be included. The estimation unit 13 can estimate the distribution of the pollution level such that the pollution level is high along the flow line.

Further, for example, the estimation unit 13 may estimate the distribution of the pollution degree in the space 100 based on the epidemiological model in addition to the air information and the space information. For example, the distribution of the pollution degree may be estimated by applying an epidemiological model or a mathematical model to the air information acquired by the air information acquisition unit 11. Thereby, the distribution of the pollution degree in the space 100 can be estimated more accurately.

Further, for example, the pollution degree estimation device 10 described in the above embodiment may share a part of the function with an external device (for example, a server or the like) capable of communicating with the pollution degree estimation device 10, or the pollution degree. The estimation device 10 may be an external device.

Further, the present invention can be realized not only as a pollution degree estimation device but also as a method including steps (processes) performed by the respective constituent elements of the pollution degree estimation device.

Specifically, in the pollution degree estimation method, an air information acquisition step of acquiring air information about a pollutant contained in the air sucked by the blower 20 in the space 100, and a space information about a state of the space 100. It includes a spatial information acquisition step and an estimation step of estimating a pollution degree distribution in the space 100 based on the air information and the spatial information.

Accordingly, it is possible to provide a pollution degree estimation method capable of accurately estimating the distribution of the pollution degree in space.

For example, those steps may be performed by a computer (computer system). Then, the present invention can be realized as a program for causing a computer to execute the steps included in those methods. Further, the present invention can be realized as a non-transitory computer-readable recording medium such as a CD-ROM in which the program is recorded.

For example, when the present invention is implemented by a program (software), each step is executed by executing the program by utilizing hardware resources such as a CPU, a memory and an input/output circuit of a computer. .. That is, each step is executed by the CPU acquiring data from the memory or the input/output circuit or the like and performing the operation or outputting the operation result to the memory or the input/output circuit or the like.

Further, each component included in the pollution degree estimation device according to the above-described embodiment may be realized as a dedicated or general-purpose circuit.

Further, each component included in the pollution degree estimation device according to the above-described embodiment may be realized as an LSI (Large Scale Integration) which is an integrated circuit (IC: Integrated Circuit).

Further, the integrated circuit is not limited to the LSI and may be realized by a dedicated circuit or a general-purpose processor. A programmable FPGA (Field Programmable Gate Array) or a reconfigurable processor in which connection and setting of circuit cells inside the LSI are reconfigurable may be used.

Furthermore, if integrated circuit technology comes out to replace LSI's as a result of the advancement of semiconductor technology or a derivative other technology, it is naturally also possible to carry out integrated circuit integration of the components included in the pollution degree estimation device using this technology. May be.

In addition, a form obtained by making various modifications to those skilled in the art by a person skilled in the art, or a form realized by arbitrarily combining the constituent elements and functions of each embodiment without departing from the spirit of the present invention Are also included in the present invention.

10 Pollution Degree Estimating Device 11 Air Information Acquiring Part 12 Spatial Information Acquiring Part 13 Estimating Part 14 Output Part 20 Blower Device 21, 30 Sensor 40 People 51 Door 52 Window 100 Space

Claims (15)

An air information acquisition unit that acquires air information regarding pollutants contained in the air taken in by the air blower in the space,
A spatial information acquisition unit that acquires spatial information regarding the state in the space;
An estimation unit that estimates the distribution of the degree of pollution in the space based on the air information and the space information.
Pollution degree estimation device. The estimation unit estimates the distribution of the degree of pollution on the surfaces of the air and the object in the space based on the air information and the space information.
The pollution degree estimation device according to claim 1. The pollution degree estimation device further includes an output unit that outputs the distribution of the pollution degree.
The pollution degree estimation device according to claim 1. The spatial information includes information about people present in the space,
The pollution degree estimation device according to claim 1. The information about the person includes attribute information of a person existing in the space,
The pollution degree estimation device according to claim 4. The information about the person includes information about the behavior of a person existing in the space,
The pollution degree estimation device according to claim 4 or 5. The space information includes information regarding opening and closing of a door or a window existing in the space,
The pollution degree estimation device according to any one of claims 1 to 6. The space information includes information about a blower existing in the space,
The pollution degree estimation device according to any one of claims 1 to 7. The information about the blower includes information about the type of the blower,
The pollution degree estimation device according to claim 8. The information about the blower includes information about the position of the blower in the space,
The pollution degree estimation device according to claim 8 or 9. The information about the blower includes information about an operating state of the blower,
The pollution degree estimation device according to claim 8. The air information includes genomic information of the pollutant,
The pollution degree estimation device according to any one of claims 1 to 11. The spatial information is information based on an image obtained by photographing the space with a camera,
The pollution degree estimation device according to any one of claims 1 to 12. The estimation unit further estimates the distribution of the pollution degree in the space based on an epidemiological model,
The pollution degree estimation device according to any one of claims 1 to 13. An air information acquisition step of acquiring air information relating to pollutants contained in the air sucked in by the air blower in the space;
A spatial information acquisition step of acquiring spatial information regarding the state in the space;
An estimation step of estimating the distribution of the pollution degree in the space based on the air information and the space information.
Pollution degree estimation method.