JP2023080430A - Sterilization analysis system - Google Patents

Abstract

To provide a sterilization analysis system capable of presenting how the number of bacteria changes over time at a predetermined position in the target space.SOLUTION: A sterilization analysis system 1 includes: an acquisition unit 3a acquires a piece of analysis condition information used for sterilization analysis of an analytic space of interest; a simulation unit 3 that analyzes and calculates the number of bacteria at a predetermined position preset in the analytic space based on the analysis condition information acquired by the acquisition unit 3a; and a display unit 4 for displaying analysis results analyzed and calculated by the simulation unit 3. The display unit 4 is configured to display while changing the number of bacteria at a given position in chronological order when displaying the analysis result.SELECTED DRAWING: Figure 1

Description

The present invention relates to a sterilization analysis system.

Conventionally, a living environment simulation system, a living environment simulation method, or a program is used to present the comfort level at each position in a building (see Patent Document 1, for example).

JP 2021-33684 A

In such a conventional living environment simulation system, living environment simulation method, or program, the comfort level at each position in the building is presented as a result of simulation (analysis). It is now required to visually present the sterilization effect in

Therefore, the present invention is intended to solve the above-described conventional problems, and an object thereof is to provide a sterilization analysis system capable of presenting a time-series change in the number of bacteria at a predetermined position in a target space. and

In order to achieve this object, the sterilization analysis system according to the present invention includes an acquisition unit that acquires analysis condition information used for sterilization analysis of a target analysis space, and the analysis condition information acquired by the acquisition unit. Based on this, it comprises a simulation unit that analyzes and calculates a change in the number of bacteria at a predetermined position set in the analysis space, and a display unit that displays the analysis result of the analysis calculation performed by the simulation unit. The display unit is characterized in that the number of bacteria at a predetermined position is changed in chronological order when displaying the analysis result, thereby achieving the intended purpose.

The present invention solves the conventional problems described above, and can provide a sterilization analysis system capable of presenting time-series changes in the number of bacteria at a predetermined position in a target space.

FIG. 1 is an overall configuration diagram of a sterilization analysis system according to Embodiment 1 of the present invention. FIG. 2 is a diagram schematically showing an analysis space to be analyzed by the sterilization analysis system and the states of diffused substances generated in the analysis space. FIG. 3 is a diagram showing an example of a CT value database stored by the sterilization analysis system. FIG. 4 is a flow chart showing the operation when the sterilization analysis is performed in the sterilization analysis system. FIG. 5 is a diagram showing a first example in which the sterilization result at a predetermined position is changed in chronological order and displayed. FIG. 6 is a diagram showing a second example in which the sterilization result at a predetermined position is changed in chronological order and displayed. FIG. 7 is a diagram showing a third example in which the sterilization result at a predetermined position is changed and displayed in chronological order.

A sterilization analysis system according to the present invention includes an acquisition unit that acquires analysis condition information used for sterilization analysis of a target analysis space, and an analysis condition that is set in the analysis space based on the analysis condition information acquired by the acquisition unit. A simulation unit that analyzes and calculates a change in the number of bacteria at a predetermined position, and a display unit that displays the analysis result of the analysis calculation performed by the simulation unit. Then, when displaying the analysis result, the display unit displays the number of bacteria at a predetermined position while changing it in time series.

By doing so, the sterilization effect is displayed in a format that makes it easy to visually understand, so it is possible to present how the number of bacteria changes in time series at a predetermined position in the target analysis space. possible sterilization analysis system.

In addition, in the sterilization analysis system according to the present invention, the analysis condition information includes information on the spatial shape of the analysis space, environmental information that affects the environment in the analysis space, and the sterilization effect emitted in the analysis space. It is preferable to include information about the diffusive substances possessed and information about the bacterium at a predetermined position in the analysis space. By doing so, based on the information about the spatial shape of the analysis space, the information that affects the environment in the analysis space, and the information about the diffusion substance that has a sterilization effect released in the analysis space, the target Diffusion substance concentration at each position in the analysis space is calculated in time series. Then, based on the calculation result of the diffusion substance concentration and the information on the bacteria at the predetermined position in the analysis space, the number of bacteria at the predetermined position is analytically calculated in time series, so the change in the number of bacteria in time series is calculated. can be presented more accurately.

In addition, in the sterilization analysis system according to the present invention, the simulation unit, based on the analysis condition information, calculates the concentration of the diffusion substance having the sterilization effect at the predetermined position and the exposure time of the bacterium at the predetermined position to the diffusion substance. It is preferable to calculate the CT value by the product of , specify the subtraction number from the initial number of bacteria at a predetermined position using the calculated CT value, and analyze and calculate the number of bacteria. By doing so, it becomes possible to analytically calculate the subtraction number of bacteria by the diffusion substance having a sterilization effect based on the CT value, so that the number of bacteria at a predetermined position changes in time series. It is possible to present the situation more accurately.

Further, in the sterilization analysis system according to the present invention, the simulation unit stores a plurality of reference CT values experimentally specified in advance for the diffusion substance and the reference subtraction number of bacteria corresponding to each of the reference CT values. Therefore, the calculated CT value and the reference CT value may be compared to specify the reference subtraction number, and the number of bacteria may be analyzed and calculated. As a result, based on the actually measured reference CT value, it becomes possible to analyze and calculate the reference subtraction number of bacteria due to the diffusion substance having a disinfection effect. It is possible to reproduce the movement in a form closer to the actual environment and present it more accurately.

Further, in the sterilization analysis system according to the present invention, the display unit uses the three-dimensional map of the analysis space specified based on the analysis condition information to display the chronological change in the number of bacteria at a predetermined position in the three-dimensional map. It is preferable to display a graphic by a particulate graphic corresponding to the number of bacteria, a colored graphic corresponding to the number of bacteria, or a combination of a graphic and a colored graphic. By doing so, the chronological change in the number of bacteria at a given position is presented in a form that can be easily understood visually, thereby promoting the understanding of the sterilization effect through the eye. becomes possible.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments for carrying out the present invention will be described with reference to the accompanying drawings. It should be noted that the following embodiment is an example that embodies the present invention, and does not limit the technical scope of the present invention. In addition, throughout the drawings, the same parts are denoted by the same reference numerals, and the description thereof is omitted. Furthermore, in order to avoid duplication of details of each part that is not directly related to the present invention, description for each drawing is omitted.

Each figure is a schematic diagram and is not necessarily strictly illustrated. Therefore, for example, scales and the like do not necessarily match in each drawing. Moreover, in each figure, the same code|symbol is attached|subjected about the substantially same structure, and the overlapping description is abbreviate|omitted or simplified.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(Embodiment 1)
First, referring to FIG. 1, a sterilization analysis system 1 according to Embodiment 1 of the present invention will be described. FIG. 1 is an overall configuration diagram of a sterilization analysis system 1 according to Embodiment 1 of the present invention.

Based on the analysis condition information, the sterilization analysis system 1 according to the first embodiment calculates the subtraction number of the bacteria 30 sterilized by the diffusion substance 20 having the sterilization effect at a predetermined position in the analysis space 10. This system performs analytical calculations in series, and displays the number of bacteria 30 at a predetermined position in the analysis space 10 as the analysis result while changing it in chronological order.

Specifically, the sterilization analysis system 1 comprises an input section 2, a simulation section 3, and a display section 4, as shown in FIG. Then, the sterilization analysis system 1 receives information about the spatial shape of the analysis space 10, environmental information that affects the environment in the analysis space, and sterilization released into the analysis space 10, which are input from the input unit 2. Based on the analysis condition information including information on the diffusion substance having an effect and information on bacteria at a predetermined position in the analysis space, the concentration of the diffusion substance in the target analysis space 10 is predicted, and the set predetermined The number of bacteria at the position is calculated by analytical calculation in time series, and the change in the number of bacteria, which is the analysis result, is displayed in time series on the display unit 4 .

The input unit 2 includes, for example, an input interface for receiving an output signal output from a sensor such as a temperature and humidity sensor, a user interface for receiving an operation from a user, and a space sterilization device 11 installed in the analysis space 10. It is an input device realized by a communication interface for communicating with a device. The user interface is, for example, a touch panel or physical operation buttons. Alternatively, the input unit 2 may be realized by a communication interface that communicates with a terminal device such as a smartphone operated by the user. The input unit 2 is communicably connected wirelessly or by wire with an acquisition unit 3a, which will be described later. The user uses the input unit 2 to input the analysis condition information in the analysis space 10 that is the target of the sterilization analysis to the sterilization analysis system 1 .

The display unit 4 is an output device such as a display, and outputs analysis results obtained from the sterilization analysis system 1 . When outputting the analysis result, the display unit 4 displays the analysis result as an image or a moving image, for example. Here, the input unit 2 and the display unit 4 may be an external terminal in which both are integrated.

The simulation unit 3 is configured by a computer system having a processor and memory. Based on the information input from the input unit 2, the simulation unit 3 executes the analytical calculation by causing the processor to execute the program stored in the memory. Then, the simulation unit 3 outputs the analysis result (for example, bacteria count variation) obtained by the analytical calculation to the display unit 4 .

Specifically, the simulation unit 3 includes an acquisition unit 3a, a calculation unit 3b, a CT value accumulation processing unit 3c, a CT value storage unit 3d, a bacteria extinction determination unit 3e, a calculation result recording unit 3f, a processing unit 3g, and an output unit. 3h as a function. The CT value (Concentration-Time-Value) is a sterilization index value expressed by the product of the diffusion substance concentration (C) required for sterilization and the time (T).

Acquisition unit 3a receives, from input unit 2, analysis condition information in analysis space 10 targeted for sterilization analysis, and outputs the received information to processing unit 3g.

Here, with reference to FIG. 2, the analysis space 10 and the analysis condition information used for the sterilization analysis of the analysis space 10 will be described. FIG. 2 is a diagram schematically showing a space to be analyzed by the sterilization analysis system 1 and the state of diffusion substances generated in the space. Note that in FIG. 2 , from the space sterilization device 11 arranged in the analysis space 10 assuming a rectangular parallelepiped house, the blowout airflow 12 is made to contain and diffuse a diffusion substance 20 having a sterilization effect, and the analysis space 10 3 shows an analysis model assuming the case of executing sterilization analysis for sterilizing the bacterium 30 set in the bacterium setting area 13 in the inside.

The analysis space 10 is a space to be subjected to sterilization analysis. The analysis space 10 is, for example, one room surrounded by walls 14, and is assumed to be a living space in a general house, an office space, or the like. In the analysis space 10, members such as a space sterilization device 11, a desk 15, and a window 16 are arranged. The arrangement and number of the space sterilization device 11, the desk 15, and the window 16 are merely examples, and are omitted in this explanation for the sake of simplification. Other members that are assumed to be installed in a living space of a general house or an office space, such as an air conditioner, may be arranged.

Note that the window 16 shown in FIG. 2 is in a closed state, and it is assumed that air does not flow in and out from the outside. Depending on the situation assumed in the sterilization analysis, the window 16 may be used as an opening, and air inflow and outflow conditions may be set to perform the sterilization analysis.

A predetermined position in the analysis space 10 set by the user as the germ setting area 13 is a target position for predicting the number of germs 30 . In other words, it is one subspace selected as a position to be predicted from among a plurality of subspaces obtained by dividing the analysis space 10 into a three-dimensional matrix. The target position is represented by, for example, a three-dimensional coordinate system. Note that the target position is not limited to one partial space, but may be a plurality of partial spaces, or may be all partial spaces, that is, the entire analysis space 10 . In this case, the eradication analysis system 1 may output the three-dimensional distribution of the number of bacteria 30 in the analysis space 10 as prediction information. The bacteria setting area 13 can be set to any area in the analysis space 10. In FIG. 2, a partial space near the upper surface of the desk 15 is selected as the bacteria setting area 13. A case is shown as an example.

The subspace corresponds to a calculation unit (mesh) in concentration estimation simulation. The sizes of the multiple subspaces may be different from each other. The plurality of subspaces are, for example, cubic spaces of the same size. The length of one side of the partial space is, for example, 80 mm, but is not limited to this. Also, the partial space may be a space such as a rectangular parallelepiped or a triangular pyramid as long as it is a solid (three-dimensional) element.

Here, information on the spatial shape of the analysis space 10 (space shape information), environmental information that affects the environment in the analysis space 10, and the sterilization effect released into the analysis space 10 included in the analysis condition information. Information on diffusion substances (diffusive substance information) and information on bacteria (bacteria information) at a predetermined position in the analysis space 10 will be described in detail.

The space shape information includes the shape and dimensions of the analysis space 10, and the arrangement positions, shapes, and dimensions of members such as the walls 14, the space sterilization device 11, the desk 15, and the window 16 existing in the analysis space 10. , information about its dimensions.

The environment information is information indicating the environment within the analysis space 10 . Specifically, the environmental information includes the temperature, humidity, and wind speed at each position in the analysis space 10, and the adsorption/desorption coefficient ( (adsorption/release information on the member surface), etc., and is information that affects the state of the diffusion substance 20 and the bacteria 30 . In addition, the environment information may be obtained by separately performing a detailed thermo-fluid analysis and using the obtained analysis result.

Diffusion substance information is information about the diffusion substance 20 having a sterilization effect generated in the analysis space 10 . Specifically, the physical property values such as the self-degradation coefficient and the diffusion coefficient determined for each type of the diffusion substance 20, the amount of the diffusion substance 20 generated when the diffusion substance 20 is generated from the space sterilization device 11, and the diffusion substance 20 It is information such as the wind direction and wind speed of the blowing airflow 12 that moves the .

Here, the diffusion substance 20 is a substance that has a sterilization action that sterilizes the bacteria 30 . In this embodiment, eradication means not only removal of fungi or bacteria, but also removal of viruses. In other words, the bacterium 30 includes not only fungi and bacteria, but also viruses and the like. The bacterium 30 is, for example, Staphylococcus aureus, Pseudomonas aeruginosa, or Escherichia coli, but is not limited to these.

For example, diffusion material 20 is hypochlorous acid (HClO). Alternatively, the diffusion material 20 may be ozone ( _O3 ) or plasma treated water ( _H2O ), or the like. The diffusion substance 20 is, for example, a liquid such as hypochlorous acid water in the form of mist, but may also be a gas or a solid in the form of fine particles.

Diffusion substance 20 is emitted from space sterilization device 11 into analysis space 10 . The space sterilization device 11 is a generator that generates and releases the diffusion substance 20 . For example, the space sterilization device 11 is a hypochlorous acid water generator, and generates hypochlorous acid water by electrolyzing salt water. The space sterilization device 11 has a function of forming an airflow toward the inside of the analysis space 10 . The space sterilization device 11 vaporizes the generated hypochlorous acid water and releases the hypochlorous acid as the diffusion substance 20 together with the airflow. The diffusion substance 20 is diffused into the analysis space 10 along the airflow.

Also, the space sterilization device 11 that generates the diffusion substance 20 in the analysis space 10 is a generation device that generates and releases the diffusion substance 20 . For example, the space sterilization device 11 is a hypochlorous acid water generator, and generates hypochlorous acid water by electrolyzing salt water. The space sterilization device 11 has a function of forming an airflow toward the inside of the analysis space 10 . Specifically, the space sterilization device 11 includes one air outlet provided on the top surface of the device and suction ports provided on two opposing side surfaces of the device. The space sterilization device 11 contains the hypochlorous acid water generated and vaporized inside the air in the space sucked in the vertical direction from the two suction ports to the side of the device, so that the top surface of the device Hypochlorous acid is discharged as a diffused substance 20 from an air outlet toward an analysis space 10 together with an air flow 12 . The diffusion substance 20 is diffused into the analysis space 10 along the airflow. The space sterilization device 11 is placed in the center of the analysis space 10, at a position where the back surface of the device is near the wall 14, and the generated airflow can be efficiently released into the space. is set up. The amount of the diffusion substance 20 emitted from the space sterilization device 11 is in the range of 10 [ppb] to 20 [ppb] in terms of concentration per unit time, and the direction of the blowing airflow 12 is the space sterilization. The wind velocity of the blown airflow 12 is about 2 [m/s] to about 4 [m/s] within the range of an angle (elevation angle) of 45 degrees to 90 degrees to the front of the device 11 (diagonally upward to the right in FIG. 2). Within the range of , it can be adjusted according to the usage environment.

When the diffusion substance 20 diffused in the analysis space 10 comes into contact with the bacteria 30 present in the analysis space 10, the bacteria 30 are decomposed and sterilized. By diffusing the diffusion substance 20 in the analysis space 10 at an appropriate concentration, sterilization is efficiently performed.

The diffusion substance 20 present in the analysis space 10 is affected in various ways according to at least one of the properties of the diffusion substance 20 and the environment within the analysis space 10 . The diffusion substance 20 is classified into, for example, a diffusion substance 20a, a diffusion substance 20b, and a diffusion substance 20c. The diffusion substance 20a shown in FIG. 2 disappears by self-decomposition. The diffusion substance 20b floats and diffuses within the analysis space 10 . The diffusion substance 20c is adsorbed on the walls of the analysis space 10. FIG. Also, the adsorbed diffusion substance 20c is released from the wall. Although the details are not described in this embodiment, the diffusion substance 20 may be decomposed and disappear due to other environmental factors such as ultraviolet rays. good.

Similarly, the bacteria 30 existing in the analysis space 10 may also be affected in various ways depending on at least one of the characteristics of the bacteria 30 and the environment inside the analysis space 10 . In the present embodiment, the details are not described for the sake of simplification of explanation, but if necessary, the influence of the environment, such as decomposition of the bacteria 30, may be taken into consideration.

The bacterium information is a bacterium installed by the user at a predetermined position in the analysis space 10, and is information about the bacterium 30 to be sterilized. Specifically, it is information about the type of the bacteria 30, the position of the bacteria setting area 13 to be arranged, and the initial number of the bacteria 30 at the time of arrangement.

(How to acquire analysis condition information)
In this embodiment, the acquiring unit 3a acquires spatial shape information from the input unit 2 operated by the user.

Further, the acquisition unit 3a acquires the temperature in the analysis space 10 from the input unit 2 operated by the user, the temperature/humidity sensor, or the temperature sensor as environmental information. The temperature specifically indicates the air temperature within the analysis space 10 or the surface temperature of the surface of the member placed within the analysis space 10 . Further, the acquisition unit 3a acquires the humidity in the analysis space 10 from the input unit 2 operated by the user, the temperature/humidity sensor, or the humidity sensor as environmental information. A plurality of temperature/humidity sensors may be provided in the analysis space 10 . The acquisition unit 3a may acquire the temperature and humidity in each of the plurality of subspaces forming the analysis space 10 from a plurality of temperature and humidity sensors.

Further, the acquisition unit 3a acquires the adsorption/desorption information on the surface of the member arranged in the analysis space 10 as the environmental information from the input unit 2 operated by the user. The adsorption/desorption information on the member surface is specifically the adsorption/desorption coefficient of the diffusion substance 20 on the member surface determined for each material of the member, and is stored in advance in the acquisition unit 3a when the analysis space 10 is formed. good too.

Further, the acquisition unit 3 a acquires diffusion substance information from the input unit 2 operated by the user or from the space sterilization device 11 .

Further, the acquisition unit 3a acquires bacteria information from the input unit 2 operated by the user. In addition, the sterilization analysis system 1 according to the present embodiment may include a sensor that acquires environmental information. The sensor performs a function of acquiring environment information among the functions of the acquisition unit 3a. The sensor is, for example, at least one of the temperature/humidity sensor, temperature sensor, and humidity sensor described above.

As shown in FIG. 1, when receiving analysis condition information in the analysis space 10 from the input unit 2, the acquisition unit 3a outputs the received analysis condition information to the processing unit 3g. Then, in the processing unit 3g, the calculation unit 3b, the CT value accumulation processing unit 3c, the CT value storage unit 3d, the sterilization determination unit 3e, and the calculation result recording unit 3f are operated in conjunction using the analysis condition information. , calculation processing of the number of bacteria installed by the user at a predetermined position in the analysis space 10 is performed. The processing unit 3g executes the main functions of the sterilization analysis system 1. FIG. Note that the processing unit 3g is implemented by a nonvolatile memory storing a program, a volatile memory serving as a temporary storage area for executing the program, an input/output port, a processor executing the program, and the like. be.

(concentration analysis)
The processing unit 3g first operates the calculation unit 3b to calculate the diffusion substance concentration at each position in the analysis space 10 in time series. Specifically, the calculator 3 b outputs concentration information indicating the concentration of the diffusion substance 20 at each position in the analysis space 10 by analyzing the concentration estimation of the diffusion substance 20 . In the present embodiment, the calculation unit 3b calculates the amount of the diffusion substance 20 generated, the wind direction and wind speed of the airflow that moves the diffusion substance 20, the self-decomposition coefficient of the diffusion substance 20, the diffusion coefficient of the diffusion substance 20, and the analysis At least one of the adsorption/desorption coefficient of the diffusion substance 20 with respect to the predetermined surface of the member in the space 10 and the temperature and humidity in the analysis space 10 is acquired as input data, and the diffusion substance concentration is calculated using the acquired input data. do.

The calculator 3b performs, for example, analysis based on computational fluid dynamics (CFD) (hereinafter referred to as CFD analysis). CFD analysis, for example, RANS (Reynolds-Averaged Navier-Stokes equations), DNS (Direct Numerical Simulation), LES (Large Eddy Simulation), or DES (Detached Eddy Simulation) models such as done based on Specifically, the calculation unit 3b calculates the type of the diffusion substance 20, the amount of the diffusion substance 20 generated, the wind direction and wind speed of the airflow, the self-decomposition coefficient of the diffusion substance 20, the diffusion coefficient of the diffusion substance 20, the diffusion By performing CFD analysis using the adsorption/desorption coefficient of the substance 20 and the temperature and humidity in the analysis space 10 as input data, the diffusion substance concentration for each partial space constituting the analysis space 10 is calculated. Specifically, the calculator 3b generates a three-dimensional distribution of diffusion substance concentrations for each partial space. More specifically, the calculation unit 3b calculates the concentration of the diffusion substance 20 at any position in the analysis space 10 at any time. The calculation unit 3b generates a three-dimensional distribution of the diffusion substance concentration in the analysis space 10 that changes over time.

For example, the greater the amount of diffusion material 20 generated, the greater the estimated concentration value of each partial space. The smaller the amount of diffusion substance 20 generated, the smaller the estimated concentration value of each partial space. Further, based on the wind direction of the airflow, for example, the concentration estimated value of the partial space located downwind of the spatial sterilization device 11 (specifically, a position away from the spatial sterilization device 11) is It is smaller than the concentration estimated value of the partial space located on the windward side (specifically, a position close to the space sterilization device 11). Also, when the wind speed is high, the concentration estimated value of the partial space at a position away from the space sterilization device 11 is large. When the wind speed is low, the concentration estimated value in the partial space at a position distant from the spatial sterilization device 11 is small. In addition, since the concentration analysis of the diffusion substance 20 in the analysis space 10 can be performed using a general method, a detailed explanation of the relationship between the autolysis coefficient, the diffusion coefficient, the adsorption-desorption coefficient, and the concentration analysis result will be given. omitted.

After the calculation unit 3b calculates the diffused substance concentration in the analysis space 10, the CT value accumulation processing unit 3c, the CT value storage unit 3d, the bacteria extinction determination unit 3e, and the calculation result recording unit 3f of the processing unit 3g are By operating in conjunction with each other, calculation processing of the number of bacteria installed at a predetermined position in the analysis space 10 is performed.

In the CT value accumulation processing unit 3c, from the time-series data of the diffusion substance concentration at each position in the analysis space 10 calculated by the calculation unit 3b, bacteria arranged at a predetermined position in the analysis space 10 set by the user , a process of accumulating CT values in time series is performed.

(Sterilization treatment)
Subsequently, the bacterium extinction determination unit 3e refers to the CT value database stored in the CT value storage unit 3d based on the calculated diffusion substance concentration, the type of the bacterium 30 to be sterilized, and the environmental information. By doing so, the number to be subtracted from the initial number of bacteria 30 at a predetermined position is specified. In the present embodiment, the processing unit 3g refers to the CT value database further based on the diffusion substance information indicating the type of the diffusion substance 20 to be dispersed in the analysis space 10, so that the subtraction number from the initial number of the bacteria 30 is calculated. Identify. The CT value storage unit 3d stores in advance a plurality of CT values related to the number of subtractions from the initial number of the bacteria 30 and the CT values corresponding to the type of the bacteria 30, the type of the diffusion substance 20, and the environmental information. It is possible to accumulate a database. The subtraction number described above corresponds to the "reference subtraction number" in the claims.

The survival state of the bacteria 30 is represented, for example, by the number of bacteria 30 that have decreased at the target position after a predetermined time has elapsed since the diffusion substance 20 was released. The reduced number of germs 30 is represented by a number of digits. The number of sterilization digits of 1 (also referred to as “single-digit sterilization”) means that the number of bacteria is reduced by one digit, that is, when the initial state is 1, the number of bacteria after sterilization is 0.00. to be 1. That is, single-digit sterilization means sterilization of 90% of the bacteria 30, that is, 90% sterilization. Similarly, double-digit eradication means 99% eradication. A 3-digit eradication means 99.9% eradication.

In the present embodiment, the processing unit 3g calculates the decrease number Y of the germs 30 based on the following formula (1).

Y [digit]=estimated CT value/{environmental factor f×(reference CT value/number of digits X)} (1)
In Equation (1), the estimated CT value is a CT value calculated based on the diffusion substance concentration estimated by the calculator 3b. An estimated CT value is calculated for each target position. The estimated CT value represents the sterilization performance of the diffusion substance 20 at the target position.

The reference CT value is a CT value experimentally specified in advance for a combination of the diffusion substance 20 and a plurality of types of bacteria 30, and is a CT value required when performing X-digit sterilization. The reference CT value is obtained by referring to the CT value database stored in the CT value storage unit 3d.

The environmental factor f is a correction coefficient based on environmental information. Specifically, the environmental factor f is determined by air temperature, humidity, surface temperature of members, and the like.

Note that the processing unit 3g may calculate the eradication rate of the bacteria 30 based on the following formula (2).

Sterilization rate [%] = 100 x (1-10 ^-Y ) (2)
The CT value storage unit 3d stores a CT value database. The CT value storage unit 3d is, for example, a non-volatile memory such as an HDD (Hard Disk Drive) or a semiconductor memory.

The CT value database is an example of correspondence information in which types of bacteria are associated with eradication index values, which are the product of diffusion substance concentration (C) and time (T) required for eradication. The sterilization index value is a so-called CT value. In the correspondence information, for each type of diffusion substance 20, the type of bacteria and the sterilization index value are associated.

FIG. 3 is a diagram showing an example of a CT value database stored in the eradication analysis system 1. As shown in FIG. As shown in FIG. 3, CT values are associated with combinations of types of bacteria 30 and types of diffusion substances 20 .

The CT value is, for example, the product of the diffusion substance concentration and the time required to kill 99% of the corresponding bacteria 30 using the corresponding diffusion substance 20 . That is, the CT value is the product of the diffusion substance concentration and the time required to eliminate the bacteria 30 by double digits. In addition, the CT value may be the product of the diffusion substance concentration and the time required to eliminate bacteria 30 by 1 digit (i.e., 90% sterilization), or 3 digits (i.e., 99.9% sterilization ) may be the product of the concentration of the diffusing substance and the time required to

The larger the CT value stored in the CT value database, the higher the density of the diffusing substance 20 is required to sterilize the corresponding bacterium 30 and/or the bacterium 30 is exposed to the diffusing substance 20. It means that it takes a lot of time. A CT value is obtained, for example, by conducting a sterilization test under standard conditions. The reference conditions are, for example, a temperature of 20° C. and a humidity of 50% RH, but are not limited to these.

Note that the correspondence format of information in the CT value database is not limited to the example shown in FIG. For example, the CT value database may indicate the number of digits that can be sterilized when performing sterilization processing with a predetermined CT value according to the combination of the type of diffusion substance 20 and the type of bacteria 30 .

Then, the calculation result recording unit 3f records the environmental information in the analysis space 10, the diffusion substance concentration, and the subtraction number from the initial number of the bacteria 30 at the predetermined position in chronological order.

The output unit 3h outputs to the display unit 4 the sterilization analysis result received from the calculation result recording unit 3f of the processing unit 3g. The output unit 3h is connected to the display unit 4 so as to be communicable wirelessly or by wire.

In the display unit 4, the sterilization analysis results are displayed using a three-dimensional diagram of the analysis space 10, and time-series changes in the number of bacteria (fluctuations in the number of bacteria) at predetermined positions in the three-dimensional diagram set by the user are displayed. A graphic display is provided by a particulate graphic corresponding to the number of bacteria, a colored graphic corresponding to the number of bacteria, or a combination of a graphic and a colored graphic. A specific example of displaying the number of bacteria at a predetermined position in chronological order on the display unit 4 based on the result of the sterilization analysis will be described later in detail.

As described above, in the sterilization analysis system 1, based on the analysis condition information input from the input unit 2, the number of bacteria installed by the user at a predetermined position in the analysis space 10 to be subjected to sterilization analysis A sterilization analysis calculation is performed, and the analysis result is displayed on the display unit 4 .

(Operating procedure)
Next, with reference to FIG. 4, a processing procedure (sterilization analysis method) for performing sterilization analysis using the sterilization analysis system 1 will be described. FIG. 4 is a flow chart showing the operation when the sterilization analysis is performed in the sterilization analysis system 1. As shown in FIG.

First, as shown in FIG. 4, in the simulation unit 3 of the sterilization analysis system 1, the acquisition unit 3a acquires analysis condition information necessary for sterilization analysis from the input unit 2 (step S1). Specifically, the acquisition unit 3a acquires the shape and dimensions of the analysis space 10, and also the members existing in the analysis space 10, such as the wall 14, the space sterilization device 11, the desk 15, and the window 16. Spatial shape information about the placement position, shape, and its dimensions is acquired. The acquisition unit 3a also obtains the temperature and humidity at each position in the analysis space 10, and the adsorption/desorption coefficient of the diffusion substance 20 on the member surface determined for each material of the member existing in the analysis space 10 (adsorption/release coefficient of the member surface Emission information) is acquired as environment information. In addition, the acquisition unit 3a acquires physical property values such as the self-decomposition coefficient and the diffusion coefficient determined for each type of the diffusion substance 20 from the space sterilization device 11, and the values when the diffusion substance 20 is generated from the space sterilization device 11. , and the wind direction and wind speed of the blown airflow 12 that moves the diffusion substance 20 are acquired as the diffusion substance information. The acquiring unit 3a further acquires from the input unit 2 information indicating the type of the bacteria 30, the position of the bacteria setting area 13 to be arranged, and the initial number of the bacteria 30 at the time of arrangement as bacteria information.

Next, based on the analysis condition information acquired in step S1, the calculation unit 3b calculates the diffusion substance concentration at each position in the analysis space 10 in time series (step S2). Specifically, the calculation unit 3b calculates the diffusion substance concentration for each partial space by performing CFD analysis based on the analysis condition information acquired by the acquisition unit 3a.

Next, using the diffused substance concentration in the analysis space 10 at a certain time calculated by the calculator 3b, a process of accumulating CT values in time series for the bacteria 30 placed at a predetermined position is performed (step S3). .

Subsequently, in the bacterium extinction determination unit 3e, the CT value database stored in the CT value storage unit 3d is based on the diffusion substance concentration calculated in step 3, the type of the bacterium 30 to be sterilized, and the environmental information. By referring to the reference CT value accumulated in , the subtraction number from the initial number of bacteria 30 at a predetermined position is specified in chronological order (step S4).

Next, based on the subtraction number from the initial number of bacteria 30 at the predetermined position calculated in step S4, the survival number of bacteria 30 at the predetermined position is calculated in time series, and the concentration of the diffused substance is calculated. The results are recorded in the result recording section as needed (step S5).

Finally, the change in the number of bacteria 30 at a predetermined position in the analysis space 10 calculated in step S5 is displayed in chronological order on the display unit 4 (step S6).

As described above, the sterilization analysis system 1 calculates changes in the number of bacteria at a predetermined position in the analysis space 10 targeted for sterilization analysis in chronological order, and executes processing for displaying the change in chronological order.

(Display method)
Next, with reference to FIG. 5, a display method (first example) of the analysis result of the sterilization analysis performed using the sterilization analysis system 1 in the analysis model corresponding to FIG. 2 will be described. FIG. 5 is a diagram showing a first example in which the sterilization result at a predetermined position is changed in chronological order and displayed.

In the first example, as shown in FIG. 5, along with the three-dimensional view of the entire analysis space 10, the peripheral portion of the bacteria setting area 13 in which the bacteria 30 are arranged is enlarged and displayed, and the bacteria in the time series in which the bacteria elimination analysis is performed. This is a display method for displaying the sterilization state (progress of sterilization) of 30 by using a particulate figure assuming the number of 30 bacteria. FIG. 5 shows the sterilization state on each time axis at elapsed time T0, elapsed time T1, and elapsed time T2.

Elapsed time T0 is the state of sterilization time "0" on the time axis, that is, the state in which sterilization has not started. The elapsed time T0 corresponds to the initial state of analytical calculation. At the elapsed time T0, the sterilization rate is 0%, and particulate figures (for example, 10 black circle figures) corresponding to the number of bacteria 30 (initial number) are displayed in the bacteria setting area 13 of the enlarged display portion. ing. In the particle-like figure, one black circular figure is regarded as a predetermined number of germs 30 and is associated with them.

Elapsed time T1 is a state in which the sterilization time has elapsed from the elapsed time T0 to some extent on the time axis, and the bacterium 30 placed in the bacterium setting area 13 has been sterilized to reach a sterilization rate of 50%. At the elapsed time T1, based on the sterilization analysis result, a particulate figure (for example, five black circle figures) corresponding to the number of bacteria 30 is displayed in the bacteria setting area 13 of the enlarged display portion. In the first example, when the number of bacteria 30 placed in the bacteria setting area 13 decreases, one black circular figure is erased each time the number of bacteria 30 decreases by a predetermined number.

Elapsed time T2 is a state in which the sterilization time has further elapsed from elapsed time T1 on the time axis, and the bacterium 30 arranged in the bacterium setting area 13 has been further sterilized to reach a sterilization rate of 90%. At the elapsed time T2, based on the sterilization analysis result, a particulate figure (for example, one black circle figure) corresponding to the number of bacteria 30 is displayed in the bacteria setting area 13 of the enlarged display portion.

In addition, although not particularly shown, the period from the elapsed time T0 to the elapsed time T1, the period from the elapsed time T1 to the elapsed time T2, and the period after the elapsed time T2 are similarly based on the sterilization analysis results. , particle-like figures (for example, X black circle figures) corresponding to the number of bacteria 30 are displayed in the bacteria setting area 13 of the enlarged display portion.

In the first example, the initial number of bacteria 30 set and displayed in the bacteria setting area 13 is set to 10. The size and number of bacteria are not faithfully reproduced and displayed, and the size and number of bacteria 30 are adjusted so that the sterilization analysis results can be easily visually understood. display it.

As described above, in the first example, by sequentially switching the screen of the enlarged display part according to the passage of time after the start of sterilization (elapsed time T0 → elapsed time T1 → elapsed time T2), A state in which the particulate figure (black circle figure) decreases in time series is displayed. As a result, chronological changes in the number of bacteria 30 in the analysis space 10 are dynamically presented, making it easier for the user to visually understand the sterilization effect. In FIG. 5, the sterilization rate is displayed numerically in the upper right of the display frame of the enlarged display part at each elapsed time so that the user who sees the analysis result can easily understand the sterilization result. , and how much the number of germs 30 has decreased from the initial number as a result of being sterilized by the diffusion substance 20 is also displayed.

Next, with reference to FIG. 6, a display method (second example) of the analysis result of the sterilization analysis performed using the sterilization analysis system 1 in the analysis model corresponding to FIG. 2 will be described. FIG. 6 is a diagram showing a second example in which the sterilization result at a predetermined position is changed in chronological order and displayed.

In the second example, as shown in FIG. 6, along with the three-dimensional view of the entire analysis space 10, the peripheral portion of the bacteria setting area 13 in which the bacteria 30 are arranged is displayed in an enlarged manner, and the bacteria are analyzed in chronological order. This is a display method for displaying the sterilization state (progress of sterilization) of the bacteria 30 using colors that assume the sterilization rate of the bacteria 30 . FIG. 6 shows the sterilization state on each time axis at elapsed time T0, elapsed time T1, and elapsed time T2.

Elapsed time T0 is the state of sterilization time "0" on the time axis, that is, the state in which sterilization has not started. At the elapsed time T0, the sterilization rate is 0%, and the bacterium setting area 13 in the enlarged display portion is displayed in a color (for example, black) corresponding to the state of the number of bacterium 30 . It should be noted that the entire bacteria setting area 13 is colored.

Elapsed time T1 is a state in which the sterilization time has elapsed from the elapsed time T0 to some extent on the time axis, and the bacterium 30 placed in the bacterium setting area 13 has been sterilized to reach a sterilization rate of 50%. In the elapsed time T1, based on the sterilization analysis result, the bacterium setting area 13 of the enlarged display portion is displayed in a color (for example, gray) corresponding to the sterilization state of the bacterium 30 . In addition, the sterilization rate uses the average value of the entire bacteria setting area 13 .

Elapsed time T2 is a state in which the sterilization time has further elapsed from elapsed time T1 on the time axis, and the bacterium 30 arranged in the bacterium setting area 13 has been further sterilized to reach a sterilization rate of 90%. At the elapsed time T2, based on the sterilization analysis result, the bacterium setting area 13 of the enlarged display portion is displayed in a color (for example, light gray) corresponding to the sterilization state of the bacterium 30 .

Further, although not shown in particular, after the elapsed time T2, all the bacteria 30 placed in the bacteria setting area 13 are eliminated and the elimination rate is 100%. The bacterium setting area 13 of the display portion is displayed in a color (for example, white) corresponding to the sterilized state of the bacterium 30 .

Furthermore, although not particularly shown, the period from the elapsed time T0 to the elapsed time T1, the period from the elapsed time T1 to the elapsed time T2, and the period after the elapsed time T2 are similarly based on the sterilization analysis results. , the bacterium setting area 13 in the enlarged display portion is displayed in a color corresponding to the sterilization state of the bacterium 30 (for example, a shaded gray between black and white).

That is, in the second example, when coloring the bacterium setting area 13 in the enlarged display portion according to the sterilization rate in the entire bacterium setting area 13, the display is made to gradually change from black to white over time. I have to. In addition, the bacteria setting area 13 colored as described above corresponds to a "colored figure" in the claims.

As described above, in the second example, by sequentially switching the screen of the enlarged display part according to the passage of time after the start of sterilization (elapsed time T0 → elapsed time T1 → elapsed time T2), The coloring of the microbe setting area 13 in the enlarged display portion is displayed as gradually changing from black to white in time series. As a result, chronological changes in the number of bacteria 30 in the analysis space 10 are dynamically presented, making it easier for the user to visually understand the sterilization effect. In Fig. 6, the sterilization rate is displayed numerically at the upper right of the display frame of the enlarged display part at each elapsed time so that the user who sees the analysis result can easily understand the sterilization result. , and how much the number of germs 30 has decreased from the initial number as a result of being sterilized by the diffusion substance 20 is also displayed.

Next, with reference to FIG. 7, a display method (third example) of the analysis result of the sterilization analysis performed using the sterilization analysis system 1 in the analysis model corresponding to FIG. 2 will be described. FIG. 7 is a diagram showing a third example in which the sterilization result at a predetermined position is changed and displayed in chronological order.

In the third example, as shown in FIG. 7, along with the three-dimensional view of the entire analysis space 10, the peripheral portion of the bacteria setting area 13 in which the bacteria 30 are arranged is displayed in an enlarged manner, and the bacteria are analyzed in chronological order. In this display method, the sterilization state (progress of sterilization) of 30 is displayed using a particulate colored figure assuming the sterilization rate of the bacterium 30 for each of the plurality of divided bacterium setting areas 13 . FIG. 7 shows the sterilization state on each time axis at elapsed time T0, elapsed time T1, and elapsed time T2. The particulate colored figure corresponds to "a combination of a particulate figure and a colored figure" in the claims.

Elapsed time T0 is the state of sterilization time "0" on the time axis, that is, the state in which sterilization has not started. At the elapsed time T0, the average sterilization rate is 0% (the average value of the plurality of divided bacterium set areas 13), and particles corresponding to the sterilization rate of the bacterium 30 are generated for each of the plurality of divided bacterium set areas 13. colored figures (for example, 10 black circle figures) are displayed. In addition, in the third example, one colored figure is arranged for each of the plurality of divided bacteria setting areas 13 . A sterilization rate of the bacteria 30 is associated with each particulate colored figure.

Elapsed time T1 is when the sterilization time has elapsed from the elapsed time T0 to some extent on the time axis, and the bacteria 30 arranged in each of the plurality of divided bacterium setting areas 13 are sterilized, resulting in an average sterilization rate of 50%. state. In the elapsed time T1, based on the sterilization analysis result, each of the particulate colored figures in the bacterium setting area 13 is colored corresponding to the sterilization state of the bacterium 30 (for example, one black figure, two dark gray figures, (1 light gray figure). In the third example, when all the bacteria 30 arranged in the partitioned bacteria setting area 13 are sterilized and the sterilization rate is 100%, the particle-like particles in the corresponding partitioned bacteria setting area 13 I am trying to erase the colored figure. In FIG. 7, the particulate colored figures in the five partitioned bacteria setting areas 13 are erased.

Elapsed time T2 is when the sterilization time further elapses from elapsed time T1 on the time axis, and the bacteria 30 arranged in each of the plurality of divided bacterium setting areas 13 are further sterilized, resulting in an average sterilization rate of 90%. state. At the elapsed time T2, based on the sterilization analysis result, the particulate colored figure in the bacterium setting area 13 is displayed in a color corresponding to the sterilization state of the bacterium 30 (for example, one light gray figure).

Furthermore, although not particularly shown, the period from the elapsed time T0 to the elapsed time T1, the period from the elapsed time T1 to the elapsed time T2, and the period after the elapsed time T2 are similarly based on the sterilization analysis results. , the particulate colored figures in the bacteria setting area 13 divided into a plurality are displayed in colors corresponding to the sterilization state of the bacteria 30 (for example, shades of gray ranging from black to white).

That is, in the third example, when coloring each particulate colored figure in accordance with the eradication rate of the bacteria 30 in the partitioned bacteria setting area 13, the color is gradually changed from black to white over time, and finally is displayed as colorless.

As described above, in the third example, by sequentially switching the screen of the enlarged display part according to the passage of time after the start of sterilization (elapsed time T0⇒elapsed time T1⇒elapsed time T2), The coloration of each of the bacteria setting areas 13 divided into a plurality of sections gradually changes from black to white in time series, and finally disappears. As a result, chronological changes in the number of bacteria 30 in the analysis space 10 are dynamically presented, making it easier for the user to visually understand the sterilization effect. In addition, since the sterilization state changes for each of the divided bacterium setting areas 13, it is possible to visually understand from which part of the bacterium setting area 13 or from which direction the sterilization progresses. . In FIG. 7, in order to make it easier for the user who sees the analysis result to understand the sterilization result, the average sterilization in the entire bacterium setting area 13 is displayed at the upper right of the display frame of the enlarged display part at each elapsed time. The bacteria rate is displayed numerically, and how much the number of bacteria 30 has decreased from the initial number as a result of being sterilized by the diffusion substance 20 is also displayed.

As described above, according to the sterilization analysis system 1 according to the first embodiment, the following effects can be obtained.

(1) The sterilization analysis system 1 includes an acquisition unit 3a that acquires analysis condition information used for sterilization analysis of the target analysis space 10, and based on the analysis condition information acquired by the acquisition unit 3a, and a display unit 4 for displaying the analysis results obtained by the analysis calculation in the simulation unit 3. The display unit 4 displays the analysis results. In this case, the number of bacteria in the bacteria setting area 13 is displayed while being changed in chronological order. By doing so, the sterilization effect is displayed in a format that makes it easy to visually understand, and thus the change in the number of bacterium in the bacterium setting area 13 in the target analysis space 10 is presented in chronological order. It can be a sterilization analysis system 1 capable of.

(2) In the sterilization analysis system 1, the analysis condition information includes information on the spatial shape of the analysis space 10 (space shape information), environmental information affecting the environment in the analysis space 10, and release into the analysis space 10. information (diffusion substance information) on the diffusion substance 20 having a sterilizing effect and information on the bacteria 30 at a predetermined position in the analysis space 10 (bacteria information). As a result, the diffusion substance concentration at each position in the target analysis space 10 is calculated in time series based on the space shape information, the influence information, and the diffusion substance information. Since the number of bacteria in the bacteria setting area 13 is analyzed and calculated in chronological order based on the information, it is possible to more accurately present changes in the number of bacteria in chronological order.

(3) In the sterilization analysis system 1, the simulation unit 3 determines the concentration of the diffusion substance 20 having the sterilization effect in the bacteria setting region 13 and the diffusion substance 20 of the bacteria 30 in the bacteria setting region 13 based on the analysis condition information. The CT value was calculated by multiplying this with the exposure time, and the calculated CT value was used to specify the number of subtractions from the initial number of bacteria at a predetermined position, and the number of bacteria was analytically calculated. As a result, the number of bacteria 30 subtracted by the diffusion substance 20 having a sterilization effect can be analytically calculated based on the CT value, so the number of bacteria in the bacteria setting area 13 changes in time series. The situation can be presented more accurately.

(4) In the sterilization analysis system 1, the simulation unit 3 stores a plurality of reference CT values experimentally specified in advance for the diffusion substance 20 and the reference subtraction number of the bacteria 30 corresponding to each of the reference CT values. The calculated CT value and the reference CT value are compared to specify the reference subtraction number, and the number of bacteria is analyzed and calculated. As a result, it becomes possible to analyze and calculate the reference subtraction number of the bacteria 30 by the diffusing substance 20 having the sterilization effect based on the actually measured reference CT value, so the number of bacteria in the bacteria setting area 13 changes in time series. It is possible to reproduce the state of the movement in a form that is closer to the actual environment and present it more accurately.

(5) In the sterilization analysis system 1, the display unit 4 uses the three-dimensional diagram of the analysis space 10 specified based on the analysis condition information to display the chronological change in the number of bacteria at a predetermined position in the three-dimensional diagram. , the graphic display is made up of a particulate figure corresponding to the number of bacteria, a colored figure corresponding to the number of bacteria, or a combination of the figure and the colored figure.

By doing so, the chronological change in the number of bacteria in the bacteria setting area 13 is presented in a form that can be easily understood visually, thereby facilitating a visual understanding of the sterilization effect. it becomes possible to

The present invention has been described above based on the embodiments. Those skilled in the art will understand that these embodiments are merely examples, and that various modifications can be made to combinations of each component or each treatment process, and such modifications are also within the scope of the present invention. By the way.

In the sterilization analysis system 1 according to the present embodiment, when the analysis result of the sterilization analysis is displayed on the display unit 4, a , the sterilization rate (or average sterilization rate) is displayed numerically at the upper right of the display frame of the enlarged display portion, and how much the bacteria 30 have been eliminated from the initial number by the diffusion substance 20 has been displayed. Although the case has been described, the present invention is not limited to this. For example, where the sterilization rate is indicated as a numerical value, another numerical index may be used as long as it is a numerical index that can explain the sterilization effect, such as the survival rate or the number of survivors with respect to the initial number of bacteria 30. . By doing so, it becomes possible to facilitate understanding of the sterilization result.

The sterilization analysis system according to the present invention can display how the number of bacteria changes in time series to facilitate understanding of the sterilization effect. It is useful as a presentation system.

1 sterilization analysis system 2 input unit 3 simulation unit 3a acquisition unit 3b calculation unit 3c CT value accumulation processing unit 3d CT value storage unit 3e bacterium extinction determination unit 3f calculation result recording unit 3g processing unit 3h output unit 4 display unit 10 analysis space 11 Spatial sterilization device 12 Blowing airflow 13 Bacteria setting area 14 Wall 15 Desk 16 Window 20 Diffusion substance 20a Diffusion substance 20b Diffusion substance 20c Diffusion substance 30 Bacteria

Claims (5)

an acquisition unit that acquires analysis condition information used for sterilization analysis of a target analysis space;
a simulation unit that analyzes and calculates a bacteria count variation at a predetermined position set in the analysis space based on the analysis condition information acquired by the acquisition unit;
a display unit for displaying analysis results obtained by analytical calculation in the simulation unit;
with
The sterilization analysis system, wherein the display section changes the number of bacteria at the predetermined position in chronological order when displaying the analysis result. The analysis condition information includes information about the spatial shape of the analysis space, environmental information that affects the environment in the analysis space, information about a diffusion substance that is released into the analysis space and has a sterilization effect, and 2. The sterilization analysis system according to claim 1, further comprising information on the bacterium at said predetermined position within the analysis space. Based on the analysis condition information, the simulation unit calculates a CT value by multiplying the concentration of the diffusing substance having a sterilizing effect at the predetermined position and the exposure time of the bacterium at the predetermined position to the diffusing substance. 3. The sterilization analysis according to claim 1 or 2, wherein the calculated CT value is used to specify the subtraction number from the initial number of bacteria at the predetermined position, and the number of bacteria is analytically calculated. system. The simulation unit stores a plurality of reference CT values experimentally specified in advance for the diffusible substance and a reference subtraction number of bacteria corresponding to each of the reference CT values. 4. The sterilization analysis system according to claim 3, wherein said reference CT value is compared with said reference CT value to specify said reference subtraction number, and said number of bacteria is analyzed and calculated. The display unit uses the three-dimensional diagram of the analysis space specified based on the analysis condition information to display the time-series change in the number of bacteria at the predetermined position in the three-dimensional diagram in correspondence with the number of bacteria. 5. The exclusion according to any one of claims 1 to 4, wherein the graphic display is performed by a particle-shaped figure that has been arranged, a colored figure that corresponds to the number of bacteria, or a combination of the figure and the colored figure. Bacteria analysis system.

Images