JP7587449B2 - Gas transmission evaluation device - Google Patents

Description

The present invention relates to a gas propagation evaluation device.

In food factories, it is necessary to prevent dust and other fine particles from entering the clean room. In pharmaceutical factories, it is necessary to prevent highly active pharmaceutical ingredients from leaking into other rooms. Furthermore, in hospitals, it is necessary to prevent air contaminated with bacteria or viruses from leaking into other rooms to prevent hospital-acquired infections.

As such, in buildings such as food factories, pharmaceutical factories, and hospitals, leakage of not only air but also various gases can be a problem, so there is a demand for technology to evaluate the risk of gas leakage within buildings.

Conventionally, the following technologies have been applicable to assess the risk of gas leakage within a building:

That is, Patent Document 1 discloses an indoor air pollution prediction system in which a server and a viewing terminal are connected via a communication network.

In this indoor air pollution prediction system, the viewing terminal comprises a condition input means for inputting condition data required for calculating the concentration of indoor pollutants, and a condition transmission means for transmitting the condition data input by the input means to the server. The server also comprises a calculation formula storage means for storing a calculation formula capable of calculating the concentration of indoor pollutants by substituting the condition data transmitted by the condition transmission means, and a condition receiving means for receiving the condition data transmitted by the condition transmission means. The server also comprises a calculation means for substituting the condition data received by the condition receiving means into the calculation formula stored in the calculation formula storage means to calculate the concentration of the indoor pollutants, and a prediction result transmission means for transmitting the indoor pollutant concentration calculated by the calculation means to the viewing terminal as a prediction result of the indoor air pollution situation. The viewing terminal also comprises a prediction result receiving means for receiving the prediction result transmitted by the prediction result transmission means, and a prediction result display means for displaying the prediction result received by the prediction result receiving means.

JP 2003-30567 A

However, the technology described in Patent Document 1 had the problem that it was not possible to evaluate the risk of gas, such as contaminated air, spreading from one room to another.

This disclosure has been made in consideration of the above circumstances, and aims to provide a gas transmission evaluation device that can evaluate the risk of contaminated gas transmitting from one room to another.

The gas propagation evaluation device according to the present invention described in claim 1 includes an acquisition unit that acquires arrangement information indicating the arrangement of each room provided in a building to be evaluated, connection information indicating the connection status between the rooms, countermeasure rank information indicating the countermeasure rank for a predetermined gas leakage in each room, and occurrence probability information indicating the probability of the gas being generated in each room, a probability derivation unit that uses the arrangement information, the connection information, and the countermeasure rank information to derive a propagation probability, which is the probability that the gas will propagate from one connected room to another room, and a risk derivation unit that uses the arrangement information, the occurrence probability information, and the propagation probability to derive risk information indicating the risk of the gas propagating from the room where the gas was generated to the room to be evaluated.

According to the gas propagation evaluation device of the present invention described in claim 1, arrangement information indicating the arrangement of each room provided in a building to be evaluated, connection information indicating the connection status between the rooms, countermeasure rank information indicating the countermeasure rank for the leakage of a predetermined gas in each room, and occurrence probability information indicating the probability of the gas being generated in each room are acquired, and the arrangement information, connection information, and countermeasure rank information are used to derive the propagation probability, which is the probability that the gas will propagate from one connected room to another room, and the arrangement information, occurrence probability information, and propagation probability are used to derive risk information indicating the risk of the gas propagating from the room where the gas was generated to the room to be evaluated, thereby making it possible to evaluate the risk of the contaminated gas propagating from one room to another.

The gas transmission evaluation device according to the present invention described in claim 2 is the gas transmission evaluation device described in claim 1, in which the countermeasure rank is determined using at least one of the airtightness of the door installed in the corresponding room and the inter-room pressure difference between the corresponding room and an adjacent room.

According to the gas transmission evaluation device of the present invention described in claim 2, the countermeasure rank is determined using at least one of the airtightness of the door installed in the corresponding room and the inter-room pressure difference between the corresponding room and an adjacent room, so that risk information can be derived that takes into account at least one of the airtightness of the door and the inter-room pressure difference.

The gas propagation evaluation device according to the present invention described in claim 3 is the gas propagation evaluation device described in claim 1 or claim 2, in which the acquisition unit further acquires evaluation target room information indicating the room to be evaluated.

According to the gas propagation evaluation device of the present invention described in claim 3, the room to be evaluated can be identified by further acquiring evaluation target room information indicating the room to be evaluated.

As described above, the present invention makes it possible to evaluate the risk of contaminated gas spreading from one room to another.

1 is a block diagram showing an example of a hardware configuration of a gas propagation evaluation apparatus according to an embodiment. FIG. 2 is a block diagram showing an example of a functional configuration of a gas propagation evaluation device according to an embodiment. FIG. 2 is a schematic diagram illustrating an example of a configuration of a countermeasure rank information database according to the embodiment. FIG. 2 is a schematic diagram showing an example of a configuration of a pollution propagation probability information database according to the embodiment. 11 is a flowchart illustrating an example of a gas propagation evaluation process according to the embodiment. FIG. 13 is a front view showing an example of a configuration of a room arrangement information input screen according to the embodiment. FIG. 13 is a front view showing an example of a configuration of a countermeasure status input screen according to the embodiment. FIG. 13 is a schematic diagram illustrating an example of the layout of rooms and countermeasure ranks for explaining the gas propagation evaluation process according to the embodiment. FIG. 13 is a diagram for explaining the gas transmission evaluation process according to the embodiment, and is a schematic diagram showing an example of a matrix of contamination transmission probabilities between rooms. FIG. 13 is a diagram for explaining the gas transmission evaluation process according to the embodiment, and is a schematic diagram showing an example of an adjacency matrix indicating the probability of contamination transmission between rooms. FIG. 13 is a front view showing an example of a configuration of a contamination occurrence probability input screen according to the embodiment. FIG. 13 is a diagram for explaining the gas transmission evaluation process according to the embodiment, and is a schematic diagram showing an example of a matrix of the occurrence probability of contaminated air in each room. FIG. 13 is a front view showing an example of an evaluation target room designation screen according to the embodiment. FIG. 13 is a front view showing an example of an evaluation result screen according to the embodiment.

Hereinafter, an example embodiment for carrying out the present invention will be described in detail with reference to the drawings. Note that in this embodiment, the present invention will be described as being applied to a form in which the risk of transmission due to leakage of contaminated air in each room in a hospital is evaluated, but the present invention is not limited to this. For example, the present invention may be applied to a form in which the risk of transmission due to leakage of highly active pharmaceuticals in a pharmaceutical factory, or leakage of fine particles such as dust into a clean room in a food factory is evaluated.

First, the configuration of the gas propagation evaluation device 10 according to this embodiment will be described with reference to Figs. 1 and 2. Fig. 1 is a block diagram showing an example of the hardware configuration of the gas propagation evaluation device according to this embodiment. Fig. 2 is a block diagram showing an example of the functional configuration of the gas propagation evaluation device according to this embodiment. Examples of the gas propagation evaluation device 10 include information processing devices such as personal computers and server computers.

As shown in FIG. 1, the gas propagation evaluation device 10 according to this embodiment includes a CPU (Central Processing Unit) 11, a memory 12 as a temporary storage area, a non-volatile storage unit 13, an input unit 14 such as a keyboard and mouse, a display unit 15 such as a liquid crystal display, a media read/write device (R/W) 16, and a communication interface (I/F) unit 18. The CPU 11, memory 12, storage unit 13, input unit 14, display unit 15, media read/write device 16, and communication interface (I/F) unit 18 are connected to each other via a bus B1. The media read/write device 16 reads information written in a recording medium 17 and writes information to the recording medium 17.

The storage unit 13 is realized by a hard disk drive (HDD), a solid state drive (SSD), a flash memory, etc. The gas propagation evaluation program 13A is stored in the storage unit 13 as a storage medium. The gas propagation evaluation program 13A is stored in the storage unit 13 by setting a recording medium 17 on which the gas propagation evaluation program 13A is written in the medium reading and writing device 16, and the medium reading and writing device 16 reading the gas propagation evaluation program 13A from the recording medium 17. The CPU 11 reads the gas propagation evaluation program 13A from the storage unit 13, expands it in the memory 12, and sequentially executes the processes of the gas propagation evaluation program 13A.

The storage unit 13 also stores various databases, such as a countermeasure rank information database 13B and a contamination propagation probability information database 13C. Details of the countermeasure rank information database 13B and the contamination propagation probability information database 13C will be described later.

Next, referring to FIG. 2, the functional configuration of the gas propagation evaluation device 10 according to this embodiment will be described. As shown in FIG. 2, the gas propagation evaluation device 10 includes an acquisition unit 11A, a probability derivation unit 11B, and a risk derivation unit 11C. The CPU 11 of the gas propagation evaluation device 10 executes the gas propagation evaluation program 13A to function as the acquisition unit 11A, the probability derivation unit 11B, and the risk derivation unit 11C.

The acquisition unit 11A in this embodiment acquires arrangement information indicating the arrangement of each room in the building to be evaluated (in this embodiment, a hospital), connection information indicating the connection status between the rooms, and countermeasure rank information indicating the countermeasure rank for the leakage of a predetermined gas (in this embodiment, polluted air) in each room. The acquisition unit 11A also acquires occurrence probability information indicating the probability of the occurrence of the above-mentioned gas in each room.

In this embodiment, the countermeasure rank is determined using both the airtightness of the door installed in the corresponding room and the differential pressure between the corresponding room and the adjacent room, but this is not limited to this. For example, the countermeasure rank may be determined using only either the airtightness of the door or the differential pressure between the rooms.

In addition, the probability derivation unit 11B in this embodiment derives the propagation probability, which is the probability that the gas propagates from one connected room to another, using the arrangement information, connection information, and countermeasure rank information.

The risk derivation unit 11C in this embodiment then uses the placement information, occurrence probability information, and propagation probability to derive risk information indicating the risk of the gas propagating from the room in which the gas was generated to the room being evaluated.

The acquisition unit 11A according to this embodiment further acquires evaluation target room information indicating the room to be evaluated. Therefore, the gas propagation evaluation device 10 according to this embodiment can identify the room to be evaluated.

Next, the countermeasure rank information database 13B according to this embodiment will be described with reference to FIG. 3. FIG. 3 is a schematic diagram showing an example of the configuration of the countermeasure rank information database 13B according to this embodiment.

As shown in FIG. 3, the countermeasure rank information database 13B according to this embodiment stores information on countermeasures and countermeasure ranks in association with each other.

The above measures are information indicating measures against leakage of contaminated air to connected rooms in each room in a building to be evaluated (hereinafter referred to as the "target building"), which is assumed by the gas propagation evaluation device 10 according to this embodiment. In addition, the above measure rank is information indicating the rank of the corresponding measure.

Note that "connected rooms" here refers to rooms through which contaminated air passes. For example, rooms that are connected by a door or duct are considered "connected rooms." For this reason, not only rooms that are adjacent to each other, but also rooms that are not adjacent but are separated by a duct or other means are considered "connected rooms." Hereinafter, such connected rooms will also be referred to as "connected rooms."

As shown in FIG. 3, in this embodiment, two types of measures are applied as the above-mentioned measures: installation of an airtight door (corresponding to the above-mentioned "door airtightness") and pressure difference between rooms, but this is not limited to this. For example, as described above, it is possible to apply only one of the measures of installation of an airtight door and pressure difference between rooms, or to apply other measures against leakage of contaminated air in addition to these measures. Also, as shown in FIG. 3, in this embodiment, five ranks of R1 to R5 are applied as the ranks of the above-mentioned measures in order of the most substantial measure, but this is not limited to this. For example, it is possible to apply ranks of two to four levels or six or more levels.

In the example shown in Figure 3, for example, R1 is set as the countermeasure rank when an airtight door is installed and the inter-room pressure difference is equal to or greater than a predetermined pressure difference (large).

Next, the contamination propagation probability information database 13C according to this embodiment will be described with reference to FIG. 4. FIG. 4 is a schematic diagram showing an example of the configuration of the contamination propagation probability information database 13C according to this embodiment.

As shown in FIG. 4, the contamination propagation probability information database 13C according to this embodiment stores information on countermeasure ranks and contamination propagation probabilities in association with each other.

The above countermeasure rank is the same information as the countermeasure rank in countermeasure rank information database 13B, and the above contamination propagation probability is information indicating the probability that contaminated air will propagate between connected rooms when a countermeasure of the corresponding countermeasure rank is implemented between the connected rooms.

The example shown in Figure 4 shows that the probability of contamination spreading between connected rooms where measures with a countermeasure rank of R1 have been implemented is 5%.

Next, the operation of the gas propagation evaluation device 10 according to this embodiment will be described with reference to Figures 5 to 14. Figure 5 is a flowchart showing an example of the gas propagation evaluation process according to this embodiment.

When a user inputs an instruction to start execution of the gas propagation evaluation program 13A via the input unit 14, the CPU 11 of the gas propagation evaluation device 10 executes the gas propagation evaluation program 13A, thereby executing the gas propagation evaluation process shown in FIG. 5. Note that, in order to avoid confusion, a case will be described here in which the countermeasure rank information database 13B and the contamination propagation probability information database 13C have already been constructed.

In step 100 of FIG. 5, the CPU 11 reads all information (hereinafter referred to as "countermeasure rank information") from the countermeasure rank information database 13B, and reads all information (hereinafter referred to as "contamination propagation probability information") from the contamination propagation probability information database 13C.

In step 102, the CPU 11 controls the display unit 15 to display a room layout information input screen with a predetermined configuration, and in step 104, the CPU 11 waits until the specified information is input.

FIG. 6 shows an example of a room arrangement information input screen according to this embodiment. As shown in FIG. 6, the room arrangement information input screen according to this embodiment displays a message prompting the user to input the arrangement status of each room in the target building (hereinafter referred to as "room arrangement status"). In addition, the room arrangement information input screen displays an input area 15A for inputting information indicating the room arrangement status. The example shown in FIG. 6 shows an example of a state in which information indicating the arrangement of nine rooms from room A to room I in the target building (in this embodiment, a hospital) is input. Note that, as shown in FIG. 6, in this embodiment, the user is also supposed to input between rooms that are not connected rooms (unconnected rooms) on the room arrangement information input screen, and in the example shown in FIG. 6, the between the unconnected rooms is represented by "x". Here, the information indicating the room arrangement input by the user corresponds to the above-mentioned arrangement information, and the information indicating between the unconnected rooms corresponds to part of the above-mentioned connection information.

In the example of room layout shown in Figure 6, three rooms are assumed to be connected to a corridor, but for simplicity, the corridor is assumed to be divided into three rooms, A, D, and G, which have different air pressures from each other. Rooms B, C, F, and E are assumed to be hospital rooms where contaminated air is generated. Rooms H and I are assumed to be waiting rooms for medical staff, where contaminated air is not generated. Below, we will provide an example based on the above assumptions, using the rooms in the layout shown in Figure 6 as the subject.

When the room arrangement information input screen shown in FIG. 6 is displayed on the display unit 15 as an example, the user inputs information indicating the room arrangement status and information indicating the space between unconnected rooms in the input area 15A via the input unit 14, and then selects the end button 15E. In response to this, step 104 is judged as positive, and the process proceeds to step 106.

In step 106, the CPU 11 controls the display unit 15 to display a countermeasure status input screen having a predetermined configuration, and in step 108, the CPU 11 waits until the specified information is input.

Figure 7 shows an example of a countermeasure status input screen according to this embodiment. As shown in Figure 7, the countermeasure status input screen according to this embodiment displays a message prompting the input of the status of countermeasures between connected rooms in the target building. In addition, this countermeasure status input screen displays an input area 15B for inputting information indicating the status of countermeasures between connected rooms. Note that the combination of connected rooms in the countermeasure status input screen shown in Figure 7 can be obtained from the information indicating the room arrangement status input in the room arrangement information input screen described above.

When the countermeasure status input screen shown in FIG. 7 is displayed on the display unit 15 as an example, the user inputs information indicating the status of countermeasures between connected rooms into the input area 15B via the input unit 14, and then selects the end button 15E. In response to this, step 108 becomes a positive judgment, and the process moves to step 110. The information indicating the status of countermeasures between connected rooms input by the user here corresponds to the other part of the connection information described above.

Here, the CPU 11 can identify the countermeasure rank between each connected room from the read countermeasure rank information, by identifying the countermeasure rank that matches the information indicating the countermeasure status between each connected room input on the countermeasure status input screen. As a result, the CPU 11 can acquire information indicating the layout of each room in the target building and the countermeasure rank between each connected room, as shown diagrammatically in FIG. 8 as an example. The information indicating the countermeasure rank acquired here corresponds to the countermeasure rank information acquired by the acquisition unit 11A.

In step 110, the CPU 11 derives a matrix of contamination propagation probabilities between each connected room, as shown in FIG. 9 as an example, by identifying the contamination propagation probability corresponding to the corresponding countermeasure rank in the read contamination propagation probability information. The contamination propagation probability between each connected room derived here corresponds to the propagation probability described above.

In step 112, the CPU 11 uses the information indicating the room arrangement status and the matrix of contamination propagation probabilities between each connected room obtained by the processing of step 110 to derive an adjacency matrix corresponding to the contamination propagation probability. Note that the "adjacency matrix" referred to here is an N x N square matrix, where N is the number of rooms, and as an example, as shown in FIG. 10, the numerical value of the contamination propagation probability is applied to elements corresponding to the connected rooms, while 0 (zero) is applied to the rest.

In step 114, the CPU 11 controls the display unit 15 to display a contamination occurrence probability input screen having a predetermined configuration, and in step 116, the CPU 11 waits until the specified information is input.

Figure 11 shows an example of a contamination occurrence probability input screen according to this embodiment. As shown in Figure 11, the contamination occurrence probability input screen according to this embodiment displays a message prompting the user to input the probability of contaminated air occurring in each room of the target building, and also displays an input area 15C for inputting the probability of contaminated air occurring in each room.

When the contamination occurrence probability input screen shown in FIG. 11 is displayed on the display unit 15 as an example, the user inputs the occurrence probability of contaminated air in each room of the target building into the corresponding input field via the input unit 14, and then selects the end button 15E. In response to this, step 116 is judged as positive, and the process proceeds to step 118. The occurrence probability of contaminated air in each room input by the user here corresponds to the occurrence probability information described above.

By processing steps 114 to 116, the CPU 11 can obtain a matrix of the probability of occurrence of contaminated air in each room, as shown diagrammatically in FIG. 12 as an example.

In step 118, the CPU 11 controls the display unit 15 to display a predetermined configuration of a room designation screen to be evaluated using information on the layout of each room and the countermeasure ranks shown in FIG. 8 as an example. In step 120, the CPU 11 waits until the predetermined information is input.

Figure 13 shows an example of a screen for designating a room to be evaluated according to this embodiment. As shown in Figure 13, the screen for designating a room to be evaluated according to this embodiment displays a message prompting the user to designate a room (hereinafter also referred to as a "room to be evaluated") to be evaluated for the risk of transmission of contaminated air. In addition, the screen for designating a room to be evaluated displays, as an example, a plan view showing the layout and countermeasure rank of each room shown in Figure 8.

When the evaluation target room designation screen shown in FIG. 13 is displayed on the display unit 15 as an example, the user designates a room to be evaluated for the risk of transmission of contaminated air via the input unit 14, and then presses the end button 15E. In response to this, step 120 becomes a positive determination, and the process proceeds to step 122. Note that FIG. 13 shows a state in which room A has been designated by the user.

In step 122, the CPU 11 uses the various values obtained by the above processing to derive information regarding the risk of contaminated air spreading to the room being evaluated, as shown below. Note that the "risk of spreading" here refers to an index that evaluates the probability of contaminated air spreading to the room being evaluated, taking into account the probability of contaminated air occurring and the probability of contamination spreading along all routes through which contamination can spread.

The gas transmission evaluation device 10 according to this embodiment derives information about the above transmission risk through the following four-step procedure.

1. Step a: Search for all routes from rooms where contaminated air may be generated to the room to be evaluated.

2. Step b: Determine the overlapping parts of the routes obtained in step a, and aggregate the routes. Note that "overlapping routes" here refers to a state in which some of the routes through which contaminated air can spread are the same. Also, "aggregating routes" here refers to consolidating the probability calculations when there is overlapping routes, and then calculating them.

3. Step c: For each route identified in step b, calculate the probability of contamination transmission to the room being evaluated by multiplying the probability of contaminated air generation by the probability of contamination transmission between rooms along the route.

4. Step d: Calculate the contamination transmission probability for all routes from the contamination transmission probability for each route obtained in step b. This probability becomes the value of the transmission risk of contaminated air in the room being evaluated.

Below, we will show an example of a specific calculation of information regarding the risk of transmission of contaminated air when the room to be evaluated is room A, using the various values shown in Figures 4 and 9 to 12.

1. Step a: Route search In many cases, the route search involves devising a method such as a shortest route search, but in risk assessment, it is important to search all routes without omissions. Therefore, in the gas transmission evaluation device 10 according to this embodiment, the route is searched for by exhaustive search without any special ingenuity.

In the case of the probability of occurrence of contaminated air shown in Figure 12, the rooms in which contaminated air may occur are Room B, Room C, Room E, and Room F.

The only route from room B to room A is room B → room A. Also, the only route from room C to room A is room C → room B → room A. Also, the only route from room E to room A is room E → room D → room A. Furthermore, the only route from room F to room A is room F → room C → room B → room A.

2. Step b: Identifying overlapping points in routes and aggregating routes There are four routes for contaminated air to reach room A: room B → room A, room C → room B → room A, room E → room D → room A, and room F → room C → room B → room A. However, in three of these routes, except for room E → room D → room A, room C or room B overlaps.

Therefore, taking into account the overlap of room C or room B, we aggregate the data in two ways: room E → room D → room A, and room F → room C → room B → room A.

3. Step c: Calculation of the probability of contamination propagation to the evaluation room for each route The probability of contamination propagation for the route from room E to room D to room A is calculated as follows.

Probability of occurrence in room E: 0.1 according to the probability of occurrence matrix shown in FIG.
Probability of contamination transmission from room E to room D: 0.05 based on the probability of contamination transmission shown in FIG. 10
Probability of contamination transmission from room D to room A: 0.2 based on the probability of contamination transmission shown in FIG. 10
Probability of contamination transmission along the route from room E to room D to room A: 0.1 x 0.05 x 0.2 = 0.001

On the other hand, the probability of contamination transmission for the route Room F → Room C → Room B → Room A is calculated as follows:

Probability of occurrence in room F: 0.5 according to the probability of occurrence matrix shown in FIG. 12
Probability of contamination transmission from room F to room C: 0.05 based on the probability of contamination transmission shown in FIG. 10
Probability of occurrence in room C: 0.3 according to the probability of occurrence matrix shown in FIG. 12
Probability of no generation or transmission of contaminated air in room C: (1-0.5 x 0.05) x (1-0.3) = 0.975 x 0.7 = 0.6825
Probability of contaminated air being generated or transmitted in room C: 1-0.6825=0.3175
Probability of contamination transmission from room C to room B: 0.05 based on the probability of contamination transmission shown in FIG. 10
Probability of occurrence in room B: 0.2 according to the probability of occurrence matrix shown in FIG. 12
Probability of no generation or transmission of contaminated air in room B: (1-0.3175 x 0.05) x (1-0.2) = 0.984125 x 0.8 = 0.7873
Probability of contaminated air being generated or transmitted in room B: 1-0.7873 = 0.2127
Probability of contamination transmission from room B to room A: 0.2 based on the probability of contamination transmission shown in FIG. 10
Probability of contamination transmission along the route from room F to room C to room B to room A: 0.2127 x 0.2 = 0.04254

4. Step d: Evaluate the risk of transmission of contaminated air in the room being evaluated Probability of contamination transmission along the route from room E to room D to room A: 0.1 x 0.05 x 0.2 = 0.001

- Probability of contamination transmission via the route Room F → Room C → Room B → Room A: 0.2127 x 0.2 = 0.04254

From the above, the contamination transmission probability for room A is as follows, and this contamination transmission probability value becomes information indicating the transmission risk of contaminated air in room A (corresponding to the risk information described above).

1-(1-0.001)×(1-0.04254)=1-0.956503=0.043497≒0.043=4.3%

In step 124, the CPU 11 controls the display unit 15 to display a predetermined evaluation result screen using information indicating the risk of transmission of contaminated air for the room to be evaluated obtained by the above processing. In step 126, the CPU 11 waits until the predetermined information is input.

Figure 14 shows an example of an evaluation result screen according to this embodiment. As shown in Figure 14, the evaluation result screen according to this embodiment displays information indicating the risk of transmission of contaminated air for the room being evaluated (in this embodiment, the probability of contamination transmission). Therefore, by referring to the evaluation result screen, the user can understand the transmission risk in the room being evaluated.

When the evaluation result screen shown in FIG. 14 is displayed on the display unit 15 as an example, the user selects the end button 15E after understanding the displayed evaluation result. In response to this, step 126 is judged as positive, and the gas propagation evaluation process ends.

As described above, according to this embodiment, the device includes an acquisition unit 11A that acquires arrangement information indicating the arrangement of each room in the building to be evaluated, connection information indicating the connection status between the rooms, countermeasure rank information indicating the countermeasure rank for the leakage of a predetermined gas in each room, and occurrence probability information indicating the probability of the gas being generated in each room, a probability derivation unit 11B that uses the arrangement information, connection information, and countermeasure rank information to derive a propagation probability, which is the probability that the gas will propagate from one connected room to another room, and a risk derivation unit 11C that uses the arrangement information, occurrence probability information, and propagation probability to derive risk information indicating the risk of the gas propagating from the room where the gas was generated to the room to be evaluated. Therefore, the risk of the contaminated gas propagating from one room to another can be evaluated.

Furthermore, according to this embodiment, the countermeasure rank is determined using both the airtightness of the door installed in the corresponding room and the inter-room pressure difference between the corresponding room and the adjacent room. Therefore, risk information can be derived that takes into account both the airtightness of the door and the inter-room pressure difference.

Furthermore, according to this embodiment, evaluation target room information indicating the room to be evaluated is further acquired. Therefore, the room to be evaluated can be identified.

In the above embodiment, the case where the risk of transmission of contaminated air is evaluated for rooms on only one floor of a building has been described, but the present invention is not limited to this. For example, the risk of transmission of contaminated air may be evaluated for rooms across multiple floors of a building.

It goes without saying that the configurations of the various databases applied in the above embodiment are merely examples and are not limited to those shown.

In the above embodiment, for example, the hardware structure of the processing unit that executes each process of the acquisition unit 11A, the probability derivation unit 11B, and the risk derivation unit 11C can be the various processors shown below. As described above, the various processors include a CPU, which is a general-purpose processor that executes software (programs) and functions as a processing unit, as well as a programmable logic device (PLD), which is a processor whose circuit configuration can be changed after manufacture, such as an FPGA (Field-Programmable Gate Array), a dedicated electrical circuit, which is a processor with a circuit configuration designed specifically to execute a specific process, such as an ASIC (Application Specific Integrated Circuit), etc.

The processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (e.g., a combination of multiple FPGAs, or a combination of a CPU and an FPGA). The processing unit may also be configured with a single processor.

As an example of configuring the processing unit as a single processor, first, there is a form in which one processor is configured as a combination of one or more CPUs and software, as typified by computers such as clients and servers, and this processor functions as the processing unit. Secondly, there is a form in which a processor is used to realize the functions of the entire system, including the processing unit, in a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, the processing unit is configured as a hardware structure using one or more of the various processors listed above.

More specifically, the hardware structure of these various processors can be an electrical circuit that combines circuit elements such as semiconductor elements.

10 Gas propagation evaluation device 11 CPU
11A Acquisition unit 11B Probability derivation unit 11C Risk derivation unit 12 Memory 13 Storage unit 13A Gas propagation evaluation program 13B Countermeasure rank information database 13C Contamination propagation probability information database 14 Input unit 15 Display unit 15A Input area 15B Input area 15C Input area 15E End button 16 Medium reading and writing device 17 Recording medium 18 Communication I/F unit

Claims (3)

an acquisition unit that acquires arrangement information indicating the arrangement of each room provided in the building to be evaluated, connection information indicating the connection status between the rooms, countermeasure rank information indicating a countermeasure rank for a predetermined gas leakage in each room, and occurrence probability information indicating the probability of the gas occurring in each room;
a probability derivation unit that derives a propagation probability, which is a probability that the gas propagates from one connected room to another connected room, by using the arrangement information, the connection information, and the countermeasure rank information;
a risk derivation unit that derives risk information indicating a risk of the gas being transmitted from the room in which the gas is generated to a room to be evaluated, using the arrangement information, the occurrence probability information, and the transmission probability;
A gas transmission evaluation device comprising: The countermeasure rank is determined using at least one of the airtightness of a door provided in the corresponding room and the inter-room pressure difference between the corresponding room and an adjacent room.
The gas propagation evaluation device according to claim 1 . The acquisition unit further acquires evaluation target room information indicating the room to be evaluated.
The gas propagation evaluation device according to claim 1 or 2.