JP2020148456A - Contamination amount estimation system, contamination amount estimation method and program - Google Patents

Abstract

To provide a contamination amount estimation system capable of appropriately estimating contamination amount in an indoor region used by persons.SOLUTION: A contamination amount estimation system 10 includes: a storage section 110 storing relationship information indicating relationship between characteristics of an indoor region and contamination amount in the region caused by contamination substances; an acquisition section 120 acquiring input information including characteristics of one indoor region 11; an estimation section 130 estimating the contamination amount in the one region on the basis of the input information acquired by the acquisition section 120 and the relationship information; and an output section 140 transmitting a control signal corresponding to the contamination amount estimated by the estimation section 130 to an apparatus 102 that is installed in the one region 11 and sprays a chemical agent including hypochlorous acid as a contamination countermeasure function.SELECTED DRAWING: Figure 1

Description

The present invention relates to a pollution amount estimation system that estimates the amount of pollution (a quantity indicating the degree of air pollution) in an indoor (inside a building) area, a pollution amount estimation method used in the pollution amount estimation system, and its pollution. Concers about programs run on a computer in a quantity estimation system.

Conventionally, by selecting members (building materials, construction materials, etc.) that dissipate pollutants on indoor floors, etc., indoor air that predicts the indoor air pollution status based on the results of experiments in a full-scale model room, etc. A pollution prediction system is known (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2003-30567

According to the indoor air pollution prediction system according to Patent Document 1, it is possible to grasp the amount of indoor air pollution constructed before the construction of a building. However, in various situations where the building is actually used after a lapse of time after construction, this indoor air pollution prediction system cannot always properly predict the amount of pollution in the area inside the building (indoor). For example, a person using the indoor area may bring contaminants (eg, harmful substances, dust, pathogens, etc.) into the area.

Therefore, an object of the present invention is to provide a pollution amount estimation system capable of appropriately estimating the pollution amount in an indoor area used by humans. Another object of the present invention is to provide a pollution amount estimation method and a program used in the pollution amount estimation system.

In order to achieve the above object, the contamination amount estimation system according to one aspect of the present invention includes a storage unit that stores related information indicating the relationship between the characteristics of the indoor area and the amount of contamination of the area by pollutants, and an indoor area. An acquisition unit that acquires input information including characteristics for one region, an estimation unit that estimates the amount of contamination in the one region based on the input information acquired by the acquisition unit and the related information, and the one region. The device for spraying a chemical containing hypochlorous acid as a pollution control function is provided with an output unit for transmitting a control signal according to the amount of pollution estimated by the estimation unit.

In addition, the pollution amount estimation method according to one aspect of the present invention includes an acquisition step of acquiring input information including characteristics for one area indoors, input information acquired in the acquisition step, and predetermined indoors. An estimation step for estimating the amount of contamination in the one area based on the relational information showing the relationship between the characteristics of the area and the amount of contamination of the area by pollutants, and the pollution control function installed in the area. It includes an output step of transmitting a control signal according to the amount of contamination estimated by the estimation unit to the device for spraying the chemical containing hypochlorous acid.

Further, the program according to one aspect of the present invention is a program for causing an apparatus provided with a microprocessor to perform a contamination amount estimation process, and the contamination amount estimation process is input information including characteristics for an indoor area. Based on the acquisition step to acquire, the input information acquired in the acquisition step, and the predetermined relationship information indicating the relationship between the characteristics of the indoor area and the amount of contamination of the area by pollutants. The estimation step for estimating the amount of contamination in the one area and the device installed in the area for spraying a chemical containing hypochlorous acid as a pollution control function were subjected to the amount of contamination estimated by the estimation unit. Includes an output step to transmit control signals.

According to the present invention, the amount of contamination in an indoor area used by humans can be appropriately estimated.

FIG. 1 is a schematic configuration diagram of a pollution amount estimation system according to the first embodiment. FIG. 2 is a diagram showing an example of related information used in the pollution amount estimation device according to the first embodiment. FIG. 3 is a diagram showing an example of input information input to the pollution amount estimation device according to the first embodiment. FIG. 4 is a flowchart showing an example of the operation of the pollution amount estimation device according to the first embodiment. FIG. 5 is a schematic configuration diagram of the pollution amount estimation system according to the second embodiment. FIG. 6 is a diagram showing an example of epidemic information received by the pollution amount estimation device according to the second embodiment. FIG. 7 is a flowchart showing an example of the operation of the pollution amount estimation device according to the second embodiment.

Hereinafter, embodiments will be described with reference to the drawings. Each of the embodiments shown here shows a specific example of the present invention. Therefore, the numerical values, shapes, components, arrangement and connection forms of the components, steps (processes), order of steps, etc. shown in the following embodiments are examples and do not limit the present invention. .. Among the components in the following embodiments, the components not described in the independent claims are components that can be arbitrarily added. Further, each figure is a schematic view and is not necessarily exactly illustrated.

(Embodiment 1)
Hereinafter, the pollution amount estimation system 10 according to the embodiment of the present invention will be described.

(Constitution)
FIG. 1 is a schematic configuration diagram showing a pollution amount estimation system 10 according to the present embodiment.

The pollution amount estimation system 10 is a pollution amount estimation method for estimating the pollution amount of each area (at least one area) indoors in a facility (house, office, store, hospital, factory, etc.), that is, inside a building (building, etc.). The system to run. That is, the pollution amount estimation system 10 estimates the degree of pollution by pollutants in the air in one area indoors, and outputs the estimation result. Here, the indoor area is a spatial area such as a room, a corridor, and an entrance. In addition, pollutants are harmful substances (heavy metals, asbestos, etc.), dust, pathogens (viruses, bacteria, etc.), pollutants, PM2.5, molds, aromatic compounds and other various particles (granular materials, molecules, atoms). , Particulate matter, etc.). Here, an example in which a pathogen (microorganisms such as bacteria, a virus, etc.) is mainly assumed as a pollutant will be described.

As shown in FIG. 1, the pollution amount estimation system 10 includes a sensor 101 installed in the area 11 in the facility and a pollution amount estimation device 100.

The area 11 is a spatial area for which the pollution amount is estimated by the pollution amount estimation device 100. Area 11 may be the whole or part of the facility.

The sensor 101 is a sensor used to detect the number of people located in the area 11, and is, for example, an image sensor (camera), a radar, or the like. For example, the number of people located in the area 11 is detected by analyzing the image captured in the area 11 by the image sensor (that is, the image generated by the imaging) using the existing human recognition technology or the like. It becomes possible.

The pollution amount estimation device 100 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, RAM, or the like, and may include, for example, a non-volatile memory. The processor performs a process of controlling a communication interface, a display, etc. by executing a program stored in a memory. The memory stores a program for causing the processor to execute the process. The contamination amount estimation device 100 may include a hard disk device and the like.

As shown in FIG. 1, the pollution amount estimation device 100 having the above-mentioned hardware configuration has a storage unit 110, an acquisition unit 120, and a functional block (functional component) for estimating the pollution amount. It includes an estimation unit 130 and an output unit 140. Hereinafter, each of these components will be described.

The storage unit 110 is realized by a storage medium such as a memory or a hard disk, and stores related information 22 indicating the relationship between the characteristics of an indoor area and the amount of contamination of the area by a pollutant (for example, a pathogen). The relationship information 22 is predetermined information on the relationship between the characteristics of the indoor area and the amount of pollution, for example, based on experience, experiment, theory, etc., and is represented by a table, a mathematical formula, or any other form. There may be. FIG. 2 shows an example of the relationship information 22. It is useful that the relationship information 22 includes user relationship information indicating the relationship between the characteristics regarding the use of the indoor area by humans (for example, the characteristics regarding how the area is used by humans) and the amount of contamination. The relationship information A and the relationship information B shown in FIG. 2 are examples of user relationship information. In the example of FIG. 2, the amount of pollution is represented by a pollution level (value) from 0 to 10, where 0 is no pollution and 10 is the maximum degree of pollution.

The relationship information A in FIG. 2 shows the relationship between the area use (that is, the purpose of use by people in the indoor area) and the contamination level. In the example of the figure, for example, when the indoor area is a waiting room of a hospital, the pollution level is 5, when it is an office, the pollution level is 3, and when it is a toilet, the pollution level is 5. It is 8.

Further, the relationship information B in FIG. 2 shows the relationship between the area servant density and the pollution level. The area servant density is, for example, the density of people who stay in an indoor area for a unit time (for example, 1 hour) (value obtained by dividing the number of people who stay in the area by the area of the area or the volume of the space of the area, etc.). .. The example of FIG. 2 is an example in which the area employee density is a value obtained by dividing the number of people staying in an indoor area per hour by the area (square meter) of the area. In this example, for example, when the area servant density (person / square meter) is less than 0.5, the pollution level is 1, and the area servant density (person / square meter) is 0.5 or more and 1.0. If it is less than, the pollution level is 2, and if the area employee density (person / square meter) is 1.0 or more and less than 1.5, the pollution level is 4. For example, in view of the fact that pathogens (bacteria, viruses, etc.) as pollutants can parasitize and multiply in humans and infect from person to person, the related information B shows that the pollution level is high when the area servant density is high. It is defined to show a relationship that tends to be higher.

In FIG. 2, the relational information A and B are illustrated, but in addition to these, various relational information (user relational information or other relational information) may be defined and stored in the storage unit 110 as the relational information 22. it can. Examples of user-related information include information showing the relationship between the pollution level and the classification of whether the person using the indoor area is an adult or a child, the body temperature of the person using the indoor area, the amount of heat generated, etc. Information showing the relationship between and the pollution level can be mentioned. Other related information includes information showing the relationship between the degree of dust rising in the indoor area and the pollution level, and the physical properties of the floor, wall, or the surface of the desk or the like installed in the indoor area ( For example, information showing the relationship between the presence or absence of antibacterial effect, the degree of retention of pollutants, etc.) and the pollution level can be mentioned.

The acquisition unit 120 is realized by an input device as a user interface, a processor that executes a program, and the like, and acquires input information 21 including characteristics for one area indoors. FIG. 3 shows an example of the input information 21 acquired by the acquisition unit 120. The input information 21 in the figure shows each characteristic of the area such as the area use, the number of people using the area, and the area floor area. In the example of FIG. 3, the input information 21 has an area use (use of the indoor area 11) of a hospital waiting room, an area use number of people (the number of people staying in the area 11) of 12, and an area floor area. Indicates that is 20 square meters and the like. It is useful for estimating the amount of contamination in the area that the input information 21 includes the user characteristics regarding the use of the area by a person, such as the area use and the number of people using the area. The number of people using the area is an example of the characteristic regarding the number of people who use the area, but the expression mode of the characteristic regarding the number of people who use the area may be any. For example, it may be the number of people staying per unit time, the number of people and the staying time per person, the statistical processing result of the number of people staying over a plurality of unit hours (maximum number of people, median, etc.), etc. It may be. Each characteristic of the area acquired by the acquisition unit 120 as the input information 21 is not limited to the above-mentioned area use, the number of people using the area, and the area floor area, and may include any characteristic corresponding to the above-mentioned relational information. Further, the acquisition unit 120 does not have to acquire all the characteristics of the area such as the area use, the number of people using the area, the area floor area, etc., and the estimation unit 130 does not have to acquire all the characteristics within the range of the characteristics acquired by the acquisition unit 120. , The amount of pollution in the area will be estimated.

The acquisition unit 120 obtains some characteristics of the input information 21 (for example, the area application, the area floor area, etc. in the example of FIG. 3) by a user (facility manager, worker, use) via an input device as a user interface. Acquired by accepting input by a person, etc.). Further, the acquisition unit 120 acquires some characteristics of the input information 21 (for example, the number of people using the area in the example of FIG. 3) by sensing with the sensor 101 in the indoor area 11 for which the amount of contamination is estimated. .. Specifically, for example, an image sensor is used as the sensor 101, and the acquisition unit 120 analyzes the image group obtained by repeatedly imaging the region 11 with the image sensor at regular intervals such as several minutes and several hours, and analyzes the region. By detecting the number of people in 11, the number of people using the area and the like are acquired.

The estimation unit 130 is realized by a processor or the like that executes a program, and is a target area (here, the area 11) based on the input information 21 acquired by the acquisition unit 120 and the relational information 22 stored in the storage unit 110. ) Estimate the amount of pollution. The estimation of the amount of contamination by the estimation unit 130 is realized, for example, by specifying the contamination level according to the input information 21 by referring to the related information 22 and writing the contamination level to a storage medium such as a memory or a hard disk. To. The result of estimation by the estimation unit 130 is used by the output unit 140.

As a specific example, the estimation unit 130 is contaminated from the relational information 22 (specifically, the relational information A related to the regional use) according to the region use which is one characteristic of the input information 21 acquired by the acquisition unit 120. To identify. According to the examples of FIGS. 2 and 3, the contamination level is specified as 5. Further, the contamination level is specified from the relational information 22 (specifically, the relational information B related to the area servant density) according to the number of people using the area and the floor area of the area as characteristics in the input information 21 acquired by the acquisition unit 120. To do. According to the examples of FIGS. 2 and 3, the density of people (people / square meter) calculated from the input information 21 is 0.6, so that the pollution level is specified as 2. For example, when the contamination level is specified based on a plurality of relational information, the estimation unit 130 performs a predetermined calculation F (for example, multiplying or adding each pollution level) based on each pollution level specified by all the relational information. Specify the overall pollution level by the calculation to be performed). For example, by multiplying one pollution level in the range 0-10 identified based on one relationship information with one pollution level in the range 0-10 identified based on another relationship information. , One contamination level in the range 0-100 can be identified. The contamination level in each related information may be normalized so as to be expressed in the range of 0 to 1. The predetermined calculation F may be a calculation for averaging each pollution level specified corresponding to each relational information. Further, the operation of defining the weight corresponding to each relational information and obtaining the weighted average of each pollution level specified based on each relational information may be set as the predetermined calculation F, or the calculation is specified based on each relational information. The operation for obtaining the maximum value of each contamination level may be a predetermined operation F.

The estimation unit 130 performs a predetermined calculation F based on each pollution level specified in each relational information, and the larger the amount of information of the input information 21 acquired by the acquisition unit 120, the more the contamination level is estimated. It is possible to make an estimation with high accuracy. When the overall contamination level is specified, the overall contamination level is used by the output unit 140.

In addition, the estimation unit 130 may use any calculation in order to specify the contamination level based on the relational information 22 according to the input information 21. For example, the estimation unit 130 specifies the contamination level as 5 from the relational information A in FIG. 2 according to the area use of the input information 21 in FIG. 3, and the area usage number and area floor of the input information 21 with respect to the contamination level. The overall pollution level may be specified by multiplying the area by the density of people calculated from it. In addition, the estimation unit 130 may express the contamination amount in a form other than the contamination level, and may express the contamination amount by, for example, the BSA (bovine serum albumin) concentration.

The output unit 140 is realized by a user interface such as a display, a processor that executes a program, or the like, and outputs pollution amount information indicating the pollution amount (for example, pollution level, etc.) estimated by the estimation unit 130. For example, the output of the contamination amount information by the output unit 140 is performed by presenting it to the user (for example, displaying it on a display). The output unit 140 may include information related to prevention or countermeasures of the pollution in the pollution amount information according to the estimated pollution amount (contamination level, etc.) and output the information. For example, the output unit 140 shows the correspondence between the amount of contamination and the concentration of a drug (for example, hypochlorous acid) to be sprayed on the region for the purpose of reducing pollutants (for example, inactivating pathogens). Based on the information, the concentration of the drug may be calculated from the contamination amount, and the concentration information may be included in the contamination amount information and output.

(motion)
Hereinafter, the operation related to the pollution amount estimation method of the pollution amount estimation system 10 having the above-described configuration (see FIG. 1) will be described.

FIG. 4 is a flowchart showing the operation of the pollution amount estimation device 100. Hereinafter, the operation of the pollution amount estimation device 100 will be mainly focused on and described in accordance with the figure.

The contamination amount estimation device 100 acquires information including characteristics about the region 11 as input information 21 by the acquisition unit 120 (step S11). In step S11, the acquisition unit 120 receives input from the user via the input device, for example, to set the area use (use of the area 11) and the area floor area (floor area of the area 11) as a part of the input information 21. get. Further, the contamination amount estimation device 100 uses the acquisition unit 120 to sense the number of people using the area (number of people staying in the unit time of the area 11, etc.) as a part of the input information 21 by sensing with the sensor 101 installed in the indoor area 11. Acquire (see Fig. 3).

Subsequently, the contamination amount estimation device 100 estimates the contamination amount (for example, contamination level) for the region 11 based on the input information 21 and the relational information 22 by the estimation unit 130 (step S12). For example, the estimation unit 130 specifies the pollution level corresponding to each of the above-mentioned relational information A and relational information B (see FIG. 2), and then performs a predetermined calculation F that reflects each pollution level in the result to perform a total pollution level. Is specified (estimated).

Next, the pollution amount estimation device 100 outputs pollution amount information indicating the pollution amount (for example, the total pollution level specified by the estimation unit 130) (step S13). In step S13, for example, contamination amount information can be displayed on a display or the like.

As a result, the user can know the contamination amount of the region 11 for which the contamination amount is estimated by visually recognizing the contamination amount information. The contamination amount estimation device 100 may include information such as the concentration of a drug to be sprayed on the region 11 in order to reduce pollutants or the like in the contamination amount information. In this case, the user may use the contamination amount information. By confirming, it is possible to spray an appropriate drug. In addition, since the pollution amount estimation system 10 estimates the pollution amount without using a pollution detection sensor (air quality sensor or the like), the pollution amount estimation result is also used for prevention against possible pollution in the future. it can.

(Embodiment 2)
Hereinafter, the pollution amount estimation system 10a obtained by partially modifying the pollution amount estimation system 10 according to the first embodiment will be described.

(Constitution)
FIG. 5 is a schematic configuration diagram showing a pollution amount estimation system 10a according to the present embodiment. In FIG. 5, the same components as those in FIG. 1 are designated by the same reference numerals.

As shown in FIG. 5, the pollution amount estimation system 10a includes a sensor 101 and a pollution control device 102 installed in the area 11a in the facility, and a pollution amount estimation device 100a.

The pollution amount estimation system 10a estimates the pollution amount by the pollution amount estimation device 100a using the server 30 outside the facility including the region 11a to be estimated of the pollution amount, and the pollution control device is based on the estimation result. Control 102. The pollution amount estimation system 10a is the same as the pollution amount estimation system 10 shown in the first embodiment except that not particularly described here.

The region 11a is a spatial region for which the pollution amount is estimated by the pollution amount estimation device 100a.

The pollution control device 102 is a device installed in the area 11a and having a pollution control function such as preventing pollution or cleaning the contaminated area, and is, for example, an air purifier. By inputting a control signal to the pollution control device 102, it is possible to control the execution of the pollution control function in the pollution control device 102. This control is, for example, switching the intensity of air purification (reducing the concentration of pollutants in the air, etc.), switching between operation and stop, and the like. Here, it is assumed that the pollution control device 102 has a function of reducing the amount of suspended pathogens (viruses, etc.) as a pollution control function. The anti-pollution device 102 filters, for example, the amount of ions released for reducing the pathogen, the amount of humidification for inactivating the activity of the pathogen, the dust with the pathogen attached, and the like by passing through a filter by blowing air. The amount of air blown for this purpose, the concentration of the drug for releasing the drug for disinfection, sterilization or sterilization for the reduction of pathogens, etc. are changed according to the control signal.

The server 30 is, for example, a computer having a web server function, and is operated by, for example, an administrative agency, a company, a private organization, or the like. Here, it is assumed that the server 30 has a function of providing epidemic information 23 indicating the epidemic situation of the disease, which reflects the number of detected patients of a specific viral disease such as influenza (the number of detections for each region). .. Here, the epidemic information 23 indicates the epidemic level of influenza, and the higher the number of detected patients, the higher the level. Levels 1 to 3 indicate caution levels 1 to 3, and levels 4 to 6 are higher than the attention level. It shall indicate alarm levels 1-3.

The pollution amount estimation device 100a is a computer including a processor, a memory, a communication interface, a user interface, and the like, similarly to the pollution amount estimation device 100 shown in the first embodiment. As shown in FIG. 5, the pollution amount estimation device 100a includes a storage unit 110, an acquisition unit 120a, an estimation unit 130a, and an output unit 140a as functional blocks for estimating the pollution amount. The pollution amount estimation device 100a is the same as the pollution amount estimation device 100 shown in the first embodiment except for points not particularly described here.

The acquisition unit 120a is realized by an input device as a user interface, a communication interface, a processor that executes a program, and the like, and acquires input information 21 including characteristics for one area indoors. The acquisition unit 120a acquires the input information 21 (see FIG. 3) in the same manner as the acquisition unit 120 shown in the first embodiment. In addition, the acquisition unit 120a acquires (receives) epidemic information 23 about the area where the region 11a for which the amount of contamination is to be estimated is located from the server 30. FIG. 6 shows an example of the epidemic information 23 acquired by the acquisition unit 120a.

The estimation unit 130a is realized by a processor or the like that executes a program, and is a target area based on the input information 21 and the trend information 23 acquired by the acquisition unit 120 and the relational information 22 stored in the storage unit 110. The amount of contamination in (here, region 11a) is estimated. The estimation unit 130a identifies one or a plurality of contamination levels according to the input information 21 by referring to the relational information 22 in the same manner as the estimation unit 130 shown in the first embodiment, for example. Further, the estimation unit 130a comprehensively performs a predetermined calculation F for adding or multiplying the result of multiplying or adding each of the specified pollution levels by adding or multiplying a larger numerical value as the influenza epidemic level represented by the epidemic information 23 is higher. Identify the level of pollution. The estimation by the estimation unit 130a is realized by specifying the overall contamination level and writing the overall contamination level to a storage medium such as a memory or a hard disk. The result of estimation by the estimation unit 130a is used by the output unit 140a.

The output unit 140a includes a control unit 141. The control unit 141 is realized by a communication interface, a processor that executes a program, and the like, and transmits a control signal according to the pollution amount (for example, pollution level, etc.) estimated by the estimation unit 130a to the pollution control device 102. When the pollution control device 102 is an air purifier, for example, the control unit 141 increases the intensity of air purification in the air purifier as the overall pollution level estimated by the estimation unit 130a is higher. Control the air purifier so that. The output unit 140a may include the same function of presenting the contamination amount information to the user as the output unit 140 shown in the first embodiment.

(motion)
Hereinafter, the operation related to the pollution amount estimation method of the pollution amount estimation system 10a having the above-described configuration (see FIG. 5) will be described.

FIG. 7 is a flowchart showing the operation of the pollution amount estimation device 100a. Hereinafter, the operation of the pollution amount estimation device 100a will be mainly focused on and described in accordance with the figure.

The contamination amount estimation device 100a acquires information including characteristics for the region 11a as input information 21 by the acquisition unit 120a (step S21). In step S21, the acquisition unit 120a receives input from the user via the input device, for example, to set the area use (use of the area 11a) and the area floor area (floor area of the area 11a) as a part of the input information 21. get. Further, the acquisition unit 120a acquires the number of people using the area (number of people staying in the area 11a in a unit time, etc.) as a part of the input information 21 by sensing with the sensor 101 installed in the indoor area 11a (see FIG. 3). ..

In addition, the pollution amount estimation device 100a acquires the epidemic information 23 indicating the influenza epidemic level for the location area of the area 11a by communicating with the server 30 by the acquisition unit 120a (step S22).

Subsequently, the pollution amount estimation device 100a estimates the pollution amount (for example, pollution level) for the region 11a based on the input information 21, the relationship information 22, and the epidemic information 23 by the estimation unit 130a (step S23). .. For example, the estimation unit 130a specifies the contamination level corresponding to each of the above-mentioned relational information A and relational information B (see FIG. 2), and then the predetermined calculation F that reflects each pollution level and the influenza epidemic level in the result is performed. Identify (estimate) the overall pollution level.

Next, the pollution amount estimation device 100a outputs a control signal according to the pollution amount (for example, the total pollution level specified by the estimation unit 130a) by the control unit 141 (specifically, transmits it to the pollution control device 102). ) (Step S24). Then, the pollution control device 102 in the region 11a operates in response to the control signal from the pollution amount estimation device 100a. The contamination amount estimation device 100a controls by transmitting a control signal so that, for example, the higher the estimated contamination level, the higher the degree to which the anti-contamination device 102 reduces the amount of suspended pathogens.

The pollution control device 102 is, for example, a device capable of releasing a chemical (for example, hypochlorous acid) for sterilization, sterilization, disinfection and the like. In this case, in step S24, the control unit 141 calculates the concentration of the drug from the amount of contamination based on the information in which the correspondence relationship between the amount of contamination and the concentration of the drug is predetermined, and contaminates the drug with the calculated concentration. A control signal for control to be emitted to the countermeasure device 102 may be transmitted.

As described above, according to the pollution amount estimation system 10a, in the region 11a where the pollution amount is estimated, the pollution control device 102 appropriately prevents or deals with the pollution based on the estimation result of the pollution amount. ..

(Other embodiments, etc.)
Although the pollution amount estimation systems 10 and 10a and the pollution amount estimation method have been described above in the first and second embodiments, the above-described embodiment is only an example, and various changes, additions, omissions, etc. are possible. Needless to say.

In the above embodiment, the pollution amount estimation systems 10 and 10a include the sensor 101, but the sensor 101 may exist outside the pollution amount estimation systems 10 and 10a.

In the above embodiment, the acquisition units 120 and 120a acquire all or part of the input information 21 from the user interface or the sensor 101, but for example, the sensor 101 may not be used. For example, the acquisition units 120 and 120a provide information on the characteristics of the region for which the amount of contamination is estimated, for example, user characteristics related to the use of the region by humans such as the number of people using the region in the input information 21 (see FIG. 3). Information may be acquired by receiving user input. Further, the acquisition units 120 and 120a acquire all or a part of the input information 21 by receiving from various information processing system devices (for example, a computer or the like) in the areas 11 and 11a in the facility by the communication interface. You may do it. The information processing system in the areas 11 and 11a in the facility is, for example, a database system (various accounting systems, reservation systems, hospital chart management systems) including information such as the use of the areas 11 and 11a or the number of users. Etc.), energy management system (for example, HEMS: Home Energy Management System, etc.). For example, the acquisition units 120 and 120a may acquire the number of people using the area (see FIG. 3) in the input information 21 by obtaining information from the device of the energy management system. That is, the acquisition unit 120 or the like receives the information indicating the power consumption corresponding to the area 11 or the like, and the user of the area 11 or the like receives the information indicating that the power consumption is higher as the number of people increases. By estimating the number of people, the number of people using the area may be obtained.

Further, in the above embodiment, an example in which the pollution amount is estimated for one area 11 (or area 11a) in the facility has been described, but the pollution amount is estimated by the pollution amount estimation devices 100 and 100a. Areas may exist in a plurality of areas in a certain facility. Further, there may be one or a plurality of areas for which the amount of pollution is estimated in each of the plurality of facilities. The pollution amount estimation device 100 may be located in the region where the pollution amount is estimated.

Further, in the above embodiment, an example is shown in which the acquisition unit 120a acquires epidemic information 23 related to the epidemic level of a disease (influenza) caused by a pathogen as a pollutant from the server 30. However, the pollution amount estimation device 100a does not use the server 30, and in view of the tendency that the influenza epidemic level rises in winter according to the time (season) of the pollution amount estimation, the epidemic level of the disease caused by the pathogen is determined. Trend information 23 may be generated by estimating. Further, the pollution amount estimation devices 100 and 100a store the relational information indicating the relationship between the season and the pollution amount (pollution level, etc.), and estimate the pollution amount according to the time (season) for estimating the pollution amount. May be good.

Further, the pollution amount estimation devices 100 and 100a shown in the above embodiment may share a part of the functions with an external device (for example, a server 30 or the like) capable of communicating with the pollution amount estimation devices 100 and 100a.

Further, the execution order of the treatment procedures (procedures shown in FIGS. 4 and 7) in the above-mentioned pollution amount estimation systems 10 and 10a is not necessarily limited to the above-mentioned order, and deviates from the gist of the invention. The execution order can be changed or a part of it can be omitted as long as it is not. In addition, all or part of the processing procedure (procedure shown in FIGS. 4 and 7) may be realized by hardware or software. For example, the pollution amount estimation devices 100 and 100a may be composed only of hardware that does not include software (program). Further, the program executed by the pollution amount estimation devices 100 and 100a by the processor may be recorded on a recording medium and distributed, distributed or the like. For example, by installing the distributed program on the computer and letting the processor execute it, it is possible to have the computer perform all or part of the processing procedure shown in FIGS. 4 and 7.

Further, the scope of the present invention also includes a form realized by arbitrarily combining the components and functions shown in the above-described embodiments and modifications.

In addition, various comprehensive or specific aspects of the present invention include one or more combinations of devices, systems, methods, integrated circuits, computer programs, computer-readable recording media, and the like.

Hereinafter, the configuration, modification mode, effect, etc. of the pollution amount estimation system, pollution amount estimation method, and program according to one aspect of the present invention will be described.

(1) The contamination amount estimation system according to one aspect of the present invention includes a storage unit (for example, a storage unit 110) that stores related information indicating the relationship between the characteristics of an indoor area and the amount of contamination of the area by pollutants. Based on an acquisition unit (for example, acquisition units 120, 120a) that acquires input information including characteristics for one indoor area (for example, areas 11, 11a), input information acquired by the acquisition unit, and related information. It is provided with an estimation unit (for example, estimation units 130 and 130a) for estimating the amount of contamination in the one area. Relevant information can be defined based on experience, experimentation, theory, etc. This makes it possible to appropriately estimate the amount of pollution in the indoor area used by humans. In addition, the pollution amount estimation by this pollution amount estimation system does not require a sensor for pollution detection (air quality sensor, etc.), and the pollution amount estimation system, for example, pollutes in one area of the pollution amount estimation target. Pollution levels can be estimated predictively prior to the start. In this way, the pollution amount estimation system can handle cases where it cannot be detected by the pollution detection sensor, and the estimation result by the pollution amount estimation system can also be used for prevention of pollution in the area where the pollution amount is estimated. It will be available.

(2) For example, the pollution amount estimation system may include an output unit (for example, output units 140, 140a) that outputs pollution amount information indicating the pollution amount estimated by the estimation unit (for example, estimation units 130, 130a). Good. As a result, the manager, user, etc. of the area for which the pollution amount is estimated can confirm the estimated pollution amount.

(3) For example, the relational information stored in the storage unit includes user relational information indicating the relationship between the characteristics related to human use of the indoor area and the amount of contamination, and the input information acquired by the acquisition unit is by a person. It may include user characteristics relating to the use of one region (eg, regions 11, 11a). By doing so, the relevant information can be defined based on the correlation between the amount of pollution in the indoor area and the characteristics related to the use by people in the area (for example, the number of people staying in the area, the purpose of the area, etc.). , It becomes possible to appropriately estimate the amount of pollution in one area used by humans.

(4) For example, the above-mentioned user-related information indicates the relationship between the use of the indoor area and the amount of contamination, and the above-mentioned user characteristic may indicate the use of one area for which the amount of contamination is estimated. Good. As a result, the amount of pollution can be estimated appropriately according to the use of one area for which the amount of pollution is to be estimated.

(5) For example, the above-mentioned user-related information shows the relationship between the characteristic regarding the number of people staying in the indoor area and the amount of pollution, and the above-mentioned user characteristic is one area for which the amount of pollution is estimated. It may include characteristics regarding the number of people staying. As a result, the amount of contamination can be appropriately estimated based on the fact that the larger the number of users in one area for which the amount of contamination is estimated, the more likely it is that pollutants such as infectious viruses will increase.

(6) For example, the pollutant that causes pollution related to the pollution amount estimated by the pollution amount estimation system may be a pathogen. Thereby, the amount of contamination of one area (for example, areas 11, 11a) by the pollutants transmitted from person to person is appropriately estimated based on the characteristics of the area for use by humans.

(7) For example, the acquisition unit (for example, acquisition unit 120a) further acquires epidemic information related to the epidemic level of the pathogen (that is, the epidemic level of the disease caused by the pathogen), and the estimation unit (for example, estimation unit 130a) acquires. The amount of contamination in one area may be estimated based on the epidemic information obtained by the department. As a result, for example, the amount of contamination of one area by influenza virus or the like can be appropriately estimated based on the epidemic level of influenza in the area where one area is located.

(8) For example, the acquisition unit may acquire at least one characteristic of the above-mentioned input information by sensing one region to be estimated for the amount of contamination with a sensor. As a result, for example, the number of users in one area, which changes dynamically with the passage of time, can be obtained relatively easily by sensing (for example, without requiring sequential user input), and the sensing thereof. Based on the results, the amount of pollution in that area can be estimated appropriately.

(9) For example, the acquisition unit receives at least one characteristic of the above-mentioned input information from a device (for example, a computer constituting an arbitrary system such as an accounting system) in one area for which the amount of contamination is estimated. It may be acquired by. As a result, it is possible to reduce the labor and burden of manually inputting the characteristics of the input information.

(10) For example, the acquisition unit acquires at least one characteristic of the above-mentioned input information by receiving input by a user (for example, an administrator, a user, etc. of an area for which the amount of contamination is estimated) via a user interface. You may do it. As a result, the pollution amount can be estimated appropriately by utilizing the information that the user knows about the area for which the pollution amount is estimated.

(11) For example, the pollution amount estimation system estimates by an estimation unit (for example, estimation unit 130a) on a device having a pollution control function (for example, pollution control device 102) installed in one area where the pollution amount is estimated. A control signal may be transmitted according to the amount of contamination. For example, the control unit 141 transmits this control signal. As a result, the pollution control device 102 and the like can be controlled based on the estimated pollution amount. Therefore, it is possible to prevent pollution or deal with pollution according to the amount of pollution.

(12) The contamination amount estimation method according to one aspect of the present invention includes an acquisition step (for example, steps S11, S21) for acquiring input information including characteristics for one indoor region (for example, regions 11, 11a) and an acquisition step. Estimate the amount of contamination in the one area based on the input information acquired in the above and the predetermined related information indicating the relationship between the characteristics of the indoor area and the amount of contamination of the area by pollutants. Includes steps (eg, steps S12, S23). This makes it possible to appropriately estimate the amount of pollution in the indoor area used by humans.

(13) The program according to one aspect of the present invention is a program for causing an apparatus equipped with a processor (microprocessor) to perform a pollution amount estimation process, and the pollution amount estimation process has characteristics for one area indoors. The relationship between the acquisition step (for example, steps S11 and S21) for acquiring the input information including the input information, the input information acquired in the acquisition step, the predetermined characteristics of the indoor area, and the amount of contamination of the area by the pollutant. Includes an estimation step (eg, steps S12, S23) for estimating the amount of contamination in the area based on the relevant information indicating. By installing this program on a device equipped with a processor and letting the processor execute it, it is possible to appropriately estimate the amount of contamination in an indoor area used by humans.

10, 10a Pollution amount estimation system 11, 11a Area 21 Input information 22 Related information 23 Trend information 101 Sensor 102 Equipment (pollution countermeasure equipment)
110 Storage unit 120, 120a Acquisition unit 130, 130a Estimating unit 140, 140a Output unit

Claims (12)

A storage unit that stores related information indicating the relationship between the characteristics of an indoor area and the amount of contamination of the area by pollutants.
An acquisition unit that acquires input information including characteristics for one area indoors,
An estimation unit that estimates the amount of contamination in the one area based on the input information acquired by the acquisition unit and the related information, and an estimation unit.
Contamination amount estimation is provided in a device installed in the one area that sprays a chemical containing hypochlorous acid as a pollution control function, and an output unit that transmits a control signal according to the pollution amount estimated by the estimation unit. system. The pollution amount estimation system according to claim 1, wherein the output unit outputs pollution amount information indicating the pollution amount estimated by the estimation unit. The relevant information includes user-related information indicating the relationship between the characteristics of human use for an indoor area and the amount of contamination.
The pollution amount estimation system according to claim 1 or 2, wherein the input information includes user characteristics regarding the use of the one area by a person. The user-related information shows the relationship between the use of the indoor area and the amount of pollution.
The pollution amount estimation system according to claim 3, wherein the user characteristic indicates the use of the one area. The user relationship information shows the relationship between the characteristics regarding the number of people staying in the indoor area and the amount of pollution.
The pollution amount estimation system according to claim 3 or 4, wherein the user characteristic includes a characteristic relating to the number of people staying in the one area. The pollutant is a pathogen. The pollution amount estimation system according to any one of claims 3 to 5. The acquisition unit further acquires epidemic information related to the epidemic level of the pathogen.
The pollution amount estimation system according to claim 6, wherein the estimation unit estimates the pollution amount in the one area based on the epidemic information acquired by the acquisition unit. The pollution amount estimation system according to any one of claims 1 to 7, wherein the acquisition unit acquires at least one of the characteristics in the input information by sensing the one region with a sensor. The pollution amount estimation system according to any one of claims 1 to 7, wherein the acquisition unit acquires at least one of the characteristics in the input information by receiving it from an apparatus in the one region. The pollution amount estimation system according to any one of claims 1 to 9, wherein the acquisition unit acquires at least one of the characteristics in the input information by receiving input by a user via a user interface. It is a pollution estimation method performed by a device equipped with a microprocessor.
An acquisition step to acquire input information including characteristics for an area indoors,
Based on the input information acquired in the acquisition step and the predetermined relationship information indicating the relationship between the characteristics of the indoor area and the amount of contamination of the area by pollutants, the amount of contamination of the one area is determined. Estimating steps to estimate and
Contamination amount estimation including an output step of transmitting a control signal according to the pollution amount estimated in the estimation step to a device installed in the one area and spraying a chemical containing hypochlorous acid as a pollution control function. Method. A program for causing a device equipped with a microprocessor to perform pollution estimation processing.
The pollution amount estimation process is
An acquisition step to acquire input information including characteristics for an area indoors,
Based on the input information acquired in the acquisition step and the predetermined relationship information indicating the relationship between the characteristics of the indoor area and the amount of contamination of the area by pollutants, the amount of contamination of the one area is determined. Estimating steps to estimate and
A program including an output step of transmitting a control signal according to the amount of pollution estimated in the estimation step to a device installed in the one area for spraying a chemical containing hypochlorous acid as a pollution control function.

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