JP7637843B2 - A program and a computer that executes the program - Google Patents

Description

This disclosure relates to notification technology, and in particular to a program for notifying information and a computer that executes the program.

The purifying section of an air purifier is, for example, a filter made of a fiber or sponge-like material with a certain thickness and with numerous holes inside through which air can pass. The purifying section filters the air drawn in from the intake port by passing the air through the numerous holes. The filtered air is blown out from the air outlet to the outside of the air purifier (see, for example, Patent Document 1).

JP 2019-60584 A

By connecting devices such as air purifiers to a network, the detection results of the sensors installed in the devices are displayed on terminal devices such as smartphones. When multiple sensors are installed in one device, the detection results of each sensor are displayed separately. This makes it difficult for users to understand the detection results that have the greatest impact.

This disclosure has been made in light of these circumstances, and its purpose is to provide technology that improves the visibility of detection results from multiple sensors.

In order to solve the above-mentioned problems, a program according to an aspect of the present disclosure causes a computer to execute the steps of acquiring air quality information including values of multiple types of components from one or more devices, generating a single graph showing changes over time for each component in the acquired air quality information, and outputting the single generated graph to an external device , wherein the acquiring step acquires values of the multiple types of components included in the air quality information and shown in different physical quantities, and the generating step converts the values of the components shown in different physical quantities into a common unit, and then generates the single graph showing changes over time for each component. A rough draft is generated, and the acquisition step acquires a dirt level in which different physical quantities for each component are converted into each level for each component, and the generation step converts the dirt level acquired at a predetermined interval for each component into the common unit, which is the number of detections, and by accumulating the number of detections, an integrated value for a predetermined unit time that combines multiple predetermined intervals is derived, and a single graph is generated that shows the change in the integrated value over time, and in converting the number of detections, if the dirt level acquired at the predetermined interval is 0, the number of detections is set to 0, and if the dirt level acquired at the predetermined interval is greater than 0, the number of detections is set to 1.

The problem is also solved by a computer that executes the program.

Another aspect of the present disclosure is also a program, which causes a computer to execute the steps of acquiring air quality information including values of multiple types of components from one or more devices, generating a single graph showing time-varying changes for each component in the acquired air quality information, and outputting the single graph to an external device, and the steps of: acquiring the values of multiple types of components included in the air quality information in the acquiring step and shown as different physical quantities;
The values of the components of the class are obtained, and the different physical quantities for each component are converted into levels for each component as dirt levels.The generating step accumulates the dirt levels obtained for each component at predetermined intervals to derive an accumulated value over a predetermined unit of time that combines multiple predetermined intervals, and generates a graph that shows the time change of the accumulated value as the time change for each component.

The problem is also solved by a computer that executes the program.

In addition, any combination of the above components, and conversions of the expressions of this disclosure between methods, devices, systems, recording media, computer programs, etc., are also valid aspects of this disclosure.

This disclosure makes it possible to improve the visibility of detection results from multiple sensors.

1A to 1C are diagrams illustrating a configuration of a notification system according to a first embodiment. 2(a) and (b) are diagrams showing the configurations of the servers and terminal devices shown in FIGS. 1(a) and (b). FIG. 3 is a diagram showing an outline of processing in a control unit in FIG. FIG. 3 is a diagram showing a screen displayed on the display unit of FIG. 2(b). FIG. 2 is a sequence diagram showing a display procedure by the notification system of FIGS. FIG. 11 is a diagram showing the configuration of a room in which a notification system according to a second embodiment is installed. 7A and 7B are diagrams illustrating information in a notification system according to the second embodiment.

Example 1
Before specifically describing the embodiments of the present disclosure, the knowledge on which the embodiments are based will be described. In recent years, by connecting devices to the Internet, device information is displayed on a terminal device such as a smartphone. For example, if the device is equipped with a gas sensor, gas information is displayed as dirt information on the terminal device. In addition, the history of time-varying gas information is displayed as a graph. Here, if the device is equipped with multiple types of sensors, a graph for each sensor is displayed separately. With such a display, it is difficult for the user to grasp the total amount of dirt that is a compilation of the detection results from multiple types of sensors, or the proportion of each type of dirt. Therefore, it is required to easily display the total amount and proportion of dirt at the same time.

Figures 1(a)-(c) show the configuration of a notification system 1000. The notification system 1000 includes an air purifier 100, a ventilation fan 110, an air conditioner 120, a router 200, a network 300, a server 400, a terminal device 500, and a smart speaker 600. The air purifier 100, the ventilation fan 110, and the air conditioner 120 are collectively referred to as devices.

Air purifier 100 is a device with a removal function for removing dust, pollen, house dust, etc. suspended in the air. Air purifier 100 is equipped with, for example, a thermometer for measuring temperature, a hygrometer for measuring humidity, a particulate matter sensor for measuring the density of particulate matter such as PM2.5, a gas sensor for measuring the density of gas, and a dust sensor for measuring the density of dust. The thermometer, hygrometer, particulate matter sensor, gas sensor, and dust sensor are collectively referred to as sensors.

The exhaust fan 110 is a device that forcibly exhausts indoor air and smoke or replaces it with outdoor air (ventilation) by using a fan. The exhaust fan 110 is equipped with, for example, a thermometer for measuring temperature, a hygrometer for measuring humidity, and a _CO2 sensor for measuring _CO2 density. The thermometer, hygrometer, and _CO2 sensor are also collectively called sensors. The air conditioner 120 is one type of air conditioning equipment, and is a device that adjusts the temperature and humidity of indoor air. The air conditioner 120 is equipped with, for example, a thermometer for measuring temperature, and a hygrometer for measuring humidity. The thermometer and hygrometer are also collectively called sensors. In this way, different types of sensors are equipped for each device.

The air purifier 100, the ventilation fan 110, and the air conditioner 120 have communication functions for wireless or wired communication, and can communicate with a router 200 installed in the facility in which they are installed. The router 200 communicates with a terminal device 500 and a smart speaker 600 in the facility, and also communicates with a network 300 outside the facility. The network 300 is, for example, the Internet, and is composed of wired communication, wireless communication, or a combination of these. A server 400 is connected to the network 300.

With this configuration, the detection results of the sensors of the air purifier 100, the ventilation fan 110, and the air conditioner 120 can be confirmed on the terminal device 500 or the smart speaker 600. The terminal device 500 or the smart speaker 600 transmits a signal (hereinafter referred to as a "request signal") to the server 400 via the router 200 and the network 300 to request the transmission of the detection results. The server 400 transmits the request signal to the air purifier 100, the ventilation fan 110, and the air conditioner 120 via the network 300 and the router 200. The air purifier 100, the ventilation fan 110, and the air conditioner 120 transmit the detection results to the server 400 via the router 200 and the network 300. The server 400 transmits the detection results to the terminal device 500 and the smart speaker 600 via the network 300 and the router 200. The terminal device 500 and the smart speaker 600 display the detection results or output them as audio.

In the following, for clarity of explanation, it is assumed that the air purifier 100 transmits the detection results and the detection results are displayed on the terminal device 500. It is also assumed that the terminal device 500 displays the time-dependent changes in the detection results, that is, the history, as a graph. When the air purifier 100 is equipped with multiple types of sensors, it is required to easily display the total amount and percentage of dirt at the same time. Such processing is explained in detail below.

Figures 2(a) and (b) show the configuration of the server 400 and the terminal device 500. The server 400 in Figure 2(a) includes a communication unit 410, a control unit 420, and a memory unit 430. The communication unit 410 receives the detection results from the air purifier 100 via the router 200 and the network 300. Here, the detection results from the air purifier 100 will first be explained. In the air purifier 100, the aforementioned sensors detect temperature, humidity, gas, dust, and PM2.5. The air purifier 100 retains the detected temperature and humidity values as they are.

On the other hand, the air purifier 100 converts the gas detection value, dust detection value, and PM2.5 detection value into six dirt levels from 0 to 5. For example, the larger the detection value, the closer the dirt level is to "5". For such a six-level evaluation, multiple thresholds are preset in the air purifier 100, and the detected value is compared with the multiple thresholds. Furthermore, the air purifier 100 indicates the pollen detection value in two dirt levels from 0 to 1. The dirt level "0" indicates that no pollen is detected, and the dirt level "1" indicates that pollen is detected. Although each detection value is indicated by a dirt level, it is a different physical quantity from each other. Such multiple types of detection values correspond to the values of multiple types of components contained in the air quality information. Therefore, it can be said that the communication unit 410 receives air quality information from the air purifier 100. Here, the air quality information is a collective term for information on temperature, humidity, gas, dust (small and large), particulate matter (PM2.5), pollen, etc. in the air.

The communication unit 410 outputs the received detection result, that is, the air quality information including the values of multiple types of components, to the control unit 420. The control unit 420 stores the air quality information in the storage unit 430 for a certain period of time. The control unit 420 generates a graph showing the time change of the air quality information based on the air quality information for a certain period stored in the storage unit 430. FIG. 3 shows an overview of the processing in the control unit 420. The horizontal axis indicates time, and the gas detection values acquired at 10-minute intervals are arranged over one hour, for example, as "3", "4", "0", "2", "1", and "3". If the gas detection value is "1" or more, that is, if gas is detected, the control unit 420 converts the gas detection value to "1", and if the gas detection value is "0", it does not convert the gas detection value. In other words, the control unit 420 converts the gas detection value to "1" or "0" depending on whether gas is detected in the 10-minute interval. In the above example, the gas detection values are ordered over the course of an hour, for example, "1", "1", "0", "1", "1", "1".

The control unit 420 derives an integrated gas detection value for one hour (hereinafter referred to as the "integrated gas value") by adding up the detection values of the multiple gases contained per hour. Such an integrated gas value indicates the number of times gas was detected in 10-minute intervals during one hour. In the above example, the integrated gas value is "5." The control unit 420 performs this process on the gas detection values for other hours to obtain the change over time in the integrated gas value for each hour. Return to FIG. 2(a).

The control unit 420 also performs similar processing on the dust detection values and PM2.5 detection values to obtain the time change in the gas integrated value in one-hour units and the time change in the PM2.5 integrated value in one-hour units. As a result, the gas detection values, dust detection values, and PM2.5 detection values, which are indicated by different physical quantities, are converted into gas integrated values, dust integrated values, and PM2.5 integrated values, which have a common unit of the number of detections in a 10-minute interval. The control unit 420 generates a graph showing the time change for each component by overlapping the time change in the gas integrated value, the time change in the dust integrated value, and the time change in the PM2.5 integrated value while aligning the corresponding times. The graph generated in this way will be described later.

Furthermore, if at least one of the pollen detection values for a 10-minute period included in one hour is "1", the control unit 420 sets the pollen accumulation value for that hour to "1". On the other hand, if all of the pollen detection values for a 10-minute period included in one hour are "0", the control unit 420 sets the pollen accumulation value for that hour to "0". The control unit 420 also includes the time change in the pollen accumulation value in one graph. The communication unit 410 transmits the generated graph to the terminal device 500 via the network 300 and the router 200.

The terminal device 500 in FIG. 2(b) includes a communication unit 510, a control unit 520, a display unit 530, and an operation unit 540. The communication unit 510 receives one graph from the server 400. The communication unit 510 outputs one graph to the control unit 520. Therefore, it can be said that the control unit 520 obtains from the server 400 one graph showing the time change in the air quality information from the air purifier 100 and showing the time change in each of the values of the multiple types of components included in the air quality information.

The control unit 520 displays a screen including the acquired graph on the display unit 530. FIG. 4 is a diagram showing a screen displayed on the display unit 530. A graph 900 is displayed in the center of the screen as "air pollution". The horizontal axis of the graph 900 indicates time. In addition, along the vertical axis of the graph 900, hourly changes in the gas integrated value 910, hourly changes in the PM2.5 integrated value 920, and hourly changes in the dust integrated value 930 are superimposed over 24 hours. Here, each component is shown in a different manner, for example, in a different color. In this way, a bar graph is formed by the hourly changes in the gas integrated value 910, the hourly changes in the PM2.5 integrated value 920, and the hourly changes in the dust integrated value 930. Additionally, at the top of the bar graph, the hourly change in the pollen count 940 is indicated by circles.

The operation unit 540 is an interface that accepts user operations. The operation unit 540 is, for example, a touch panel or buttons. When the operation unit 540 is a touch panel, the display unit 530 and the operation unit 540 are configured as an integrated unit.

Up to now, as described above, it has been assumed that the air purifier 100 in FIG. 1 transmits the detection results, but the ventilation fan 110 or air conditioner 120 may transmit the detection results. The server 400 generates one graph 900 by performing the same processing as before for the detection values of the sensor mounted on the ventilation fan 110 or air conditioner 120, and the terminal device 500 displays one graph 900. Also, the smart speaker 600 in FIG. 1 performs the same processing as the terminal device 500, so a description thereof will be omitted here. At that time, the smart speaker 600 outputs audio instead of displaying on the terminal device 500.

Compared to FIG. 1(a), the notification system 1000 in FIG. 1(b) includes a first base station device 310a and a second base station device 310b, which are collectively referred to as the base station device 310. A SIM (Subscriber Identity Module) card 320 can be inserted into the air purifier 100. The air purifier 100 connects to the first base station device 310a and communicates with the server 400 via the network 300. The terminal device 500 connects to the second base station device 310b and connects to the server 400 via the network 300. In other words, the air purifier 100 and the terminal device 500 connect to the server 400 without going through the router 200. Compared to FIG. 1(a), the notification system 1000 in FIG. 1(c) does not include the network 300 and the server 400. Therefore, the processing previously performed by the server 400 will now be executed by the terminal device 500 or the smart speaker 600.

The subject of the device, system, or method of the present disclosure includes a computer. The computer executes a program to realize the function of the subject of the device, system, or method of the present disclosure. The computer includes a processor that operates according to the program as the main hardware configuration. The type of processor is not important as long as it can realize the function by executing the program. The processor is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or an LSI (Large Scale Integration). The multiple electronic circuits may be integrated into one chip or may be provided on multiple chips. The multiple chips may be integrated into one device or may be provided on multiple devices. The program is recorded on a non-transitory recording medium such as a computer-readable ROM, optical disk, or hard disk drive. The program may be stored in the recording medium in advance, or may be supplied to the recording medium via a wide area communication network including the Internet.

The operation of the notification system 1000 configured as above will be described. FIG. 5 is a sequence diagram showing the display procedure by the notification system 1000. The terminal device 500 transmits a request signal to the server 400 (S10). The server 400 transmits the request signal to the air purifier 100 (S12). The air purifier 100 transmits air quality information to the server 400 (S14). The server 400 generates a graph 900 showing the time change of each component based on the air quality information (S16). The server 400 transmits the graph 900 to the terminal device 500 (S18). The terminal device 500 displays a screen including the graph 900 on the display unit 530 (S20).

According to this embodiment, when generating one graph 900 showing the time change of the air quality information, the time change of each of the multiple types of components included in the air quality information is shown, so that the visibility of the detection results from multiple sensors can be improved. In addition, the values of the components shown in different physical quantities are converted into a common unit before generating one graph 900 showing the time change of each component, so that the values of the components shown in different physical quantities can be combined. In addition, since each component is shown in a different manner in one graph 900, the visibility of the detection results from multiple sensors can be improved. In addition, the total amount of dirt can be accumulated, and the proportion of each type can be expressed by color coding on one graph 900. In addition, the user can easily see the total amount and proportion of dirt at the same time, and can grasp the dirt state of the room in more detail.

An overview of one aspect of the present disclosure is as follows. A program according to one aspect of the present disclosure causes a computer to execute the steps of acquiring air quality information including values of multiple types of components from one or more devices, generating a single graph 900 showing changes over time for each component in the acquired air quality information, and outputting the single generated graph 900 to an external device.

In the acquiring step, values of the multiple types of components included in the air quality information and expressed as different physical quantities are acquired, and in the generating step, the values of the components expressed as different physical quantities may be converted into a common unit, and then a single graph 900 showing the time change of each component may be generated.

Another aspect of the present disclosure is also a program that causes a computer to execute the steps of externally acquiring a graph 900 showing time-varying air quality information for each of a plurality of components from one or more devices, and displaying the acquired graph 900.
In one graph 900, each component is shown in a different manner. Computers that execute the programs described above are also within the scope of the present disclosure.

Example 2
Next, a second embodiment will be described. As with the first embodiment, the second embodiment relates to a notification system that displays the time change of the detection results of each of a plurality of sensors on a terminal device. When the number of devices that can be connected to a network increases, a plurality of devices may be installed in one space. Under such circumstances, when the information acquired from the devices is displayed for each device on the terminal device, the user must check and estimate the information of the plurality of devices in order to grasp the detection results of the space. Therefore, it is required to present the information of the space required by the user in a more understandable manner by collecting, calculating, and displaying the information of the devices on a space-by-space basis. The notification system 1000, server 400, and terminal device 500 according to the second embodiment are of the same type as those in FIG. 1 and FIG. 2(a)-(b). Here, the differences from the previous embodiments will be mainly described.

Figure 6 shows the configuration of a room in which the notification system 1000 is installed. The facility is, for example, a house, and has multiple rooms. Each of the multiple rooms includes, for example, a living room 700, a bedroom 710, a dining room 720, and a Japanese-style room 730. The living room 700, the bedroom 710, the dining room 720, and the Japanese-style room 730 can be said to be a single space independent of each other. The living room 700 is equipped with a first air purifier 100a and a second air purifier 100b, and the bedroom 710 is equipped with a third air purifier 100c, a first ventilation fan 110a, and an air conditioner 120. The dining room 720 is equipped with a fourth air purifier 100d, and the Japanese-style room 730 is equipped with a fifth air purifier 100e and a second ventilation fan 110b. The first air purifier 100a, the second air purifier 100b, the third air purifier 100c, the fourth air purifier 100d, and the fifth air purifier 100e are collectively referred to as air purifier 100, and the first ventilation fan 110a and the second ventilation fan 110b are collectively referred to as ventilation fan 110. Here, multiple devices equipped with the same sensor are installed in the living room 700, and multiple devices equipped with different sensors are installed in the bedroom 710 and the Japanese-style room 730.

Figures 7(a)-(b) show information in the notification system 1000. Figure 7(a) shows the detection results of the first air purifier 100a and the second air purifier 100b installed in the living room 700 of Figure 2. The temperature and humidity values detected by the first air purifier 100a are shown as they are. In addition, the gas detection value, small dust detection value, large dust detection value, and PM2.5 detection value of the first air purifier 100a are each shown as a six-stage dirt level from 0 to 5. Furthermore, the pollen detection value of the first air purifier 100a is shown as a two-stage dirt level from 0 to 1. Figure 7(b) will be described later.

The detection results of each of the multiple devices, such as the air purifier 100, the ventilation fan 110, and the air conditioner 120 in Figs. 1 and 6, are transmitted to the server 400 via the router 200 and the network 300 in Fig. 1. Here, each detection result contains identification information "ID" for identifying the device that is the sender. Therefore, it can be said that the control unit 420 obtains the detection results of each of the multiple devices from each of the multiple devices. The control unit 420 stores the detection results in the memory unit 430 based on the ID contained in the detection results.

The memory unit 430 stores the detection results for each ID. The memory unit 430 also stores the correspondence between the ID and the identification information of the space in which the device with that ID is installed (hereinafter referred to as the "space ID"). For example, in FIG. 6, the living room 700 is assigned the space ID "1", the bedroom 710 is assigned the space ID "2", the dining room 720 is assigned the space ID "3", and the Japanese-style room 730 is assigned the space ID "4". Based on the correspondence stored in the memory unit 430, the control unit 420 organizes the detection results of each device stored in the memory unit 430 as detection results for each space ID. This is equivalent to organizing the detection results of each device into detection results for each room, that is, for each same space.

For example, the detection results for space ID "1" are the detection results of sensors mounted on the first air purifier 100a and the second air purifier 100b arranged in the living room 700. Therefore, these detection results are the detection values of temperature, humidity, gas, dust (small and large), particulate matter (PM2.5), and pollen. In other words, values of multiple types of components are acquired. The control unit 420 derives air quality information that is a compilation of detection results from two or more devices arranged in the same space and that includes values of multiple types of components. To be more specific, the control unit 420 performs statistical processing for each component on the detection results from two or more devices arranged in the same space.

When the temperature in the first air purifier 100a indicates 22°C and the temperature in the second air purifier 100b indicates 24°C, the control unit 420 averages these temperatures to derive a temperature of "23°C" in the living room 700. The control unit 420 also performs averaging processing on humidity in the same manner as for temperature. The control unit 420 also compares the gas detection value in the first air purifier 100a with the gas detection value in the second air purifier 100b to select the maximum value. For example, when the gas detection value in the first air purifier 100a indicates a dirt level of "1" and the gas detection value in the second air purifier 100b indicates a dirt level of "3", the gas detection value in the living room 700 is set to a dirt level of "3". The control unit 420 also performs processing similar to that for the gas detection value on the dust (small and large), particulate matter (PM2.5), and pollen detection values. Here, the control unit 420 may use any of the minimum, maximum, and average values for each component. This type of processing is shown in FIG. 7(b). As a result, the control unit 420 generates information on the air quality in the living room 700, which includes multiple types of components such as temperature, humidity, gas detection values, dust (small and large) detection values, particulate matter (PM2.5) detection values, and pollen detection values.

Moreover, the detection results for the space ID "2" are the detection results of the sensors mounted on the third air purifier 100c, the first ventilation fan 110a, and the air conditioner 120 arranged in the bedroom 710. Therefore, these detection results are the temperature, humidity, gas detection values, dust (small, large) detection values, particulate matter (PM2.5) detection values, pollen detection values, and _CO2 detection values. Here, the _CO2 detection value is output only from the first ventilation fan 110a, and the gas detection value, dust (small, large) detection value, particulate matter (PM2.5) detection value, and pollen detection value are output only from the third air purifier 100c. Therefore, the control unit 420 regards the _CO2 detection value from the first ventilation fan 110a as the _CO2 detection value in the bedroom 710. Furthermore, the control unit 420 regards the gas detection values, dust detection values (small and large), particulate matter (PM2.5), and pollen detection values from the third air purifier 100c as the detection values in the bedroom 710. The same processing as that in the living room 700 is performed for temperature and humidity. As a result, the control unit 420 generates air quality information in the bedroom 710 that includes multiple types of components, such as temperature, humidity, gas detection values, dust detection values (small and large), particulate matter (PM2.5), pollen detection values, and _CO2 detection values.

The control unit 420 also performs similar processing on the dining room 720 with space ID "3" and the Japanese-style room 730 with space ID "4". The control unit 420 performs processing similar to that of Example 1 on the air quality information generated in this manner, thereby generating one graph 900. In other words, the control unit 420 compiles the air quality information obtained from each of the multiple devices by component, and then generates one graph 900 showing the change over time for each component.

According to this embodiment, air quality information is derived by aggregating detection results from two or more devices among multiple devices that are arranged in the same space, and the air quality information includes values of multiple types of components, so that the air quality in one space can be notified. In addition, air quality information is derived by performing statistical processing for each component on the detection results from two or more devices arranged in the same space, so the accuracy of the derived air quality can be improved. In addition, the maximum value is selected as the statistical processing, so that the worst air quality can be notified.

An overview of one aspect of the present disclosure is as follows: The acquiring step may acquire air quality information from each of a plurality of devices arranged in the same space, and the generating step may compile the air quality information acquired from each of the plurality of devices by component, and then generate one graph 900 showing the change over time for each component.

Computers that execute these described programs are also subject to this disclosure.

The present disclosure has been described above based on examples. These examples are merely illustrative, and it will be understood by those skilled in the art that various modifications are possible in the combination of each of the components or each of the processing processes, and that such modifications are also within the scope of the present disclosure.

In the first and second embodiments, one graph 900 is shown as a bar graph. However, this is not limited to this, and it may be, for example, a colored line graph. This modified example allows for greater freedom in configuration.

In Examples 1 and 2, the control unit 420 converts the detection value to "1" or "0" depending on whether gas or the like is detected at 10-minute intervals, and then adds these values over one hour to derive the integrated value. However, this is not limited to the above, and for example, the control unit 420 may derive the integrated value by simply adding the detection values at 10-minute intervals over one hour. This modified example allows for greater flexibility in the configuration.

100 air purifier, 110 ventilation fan, 120 air conditioner, 200 router, 300 network, 310 base station device, 320 SIM card, 400 server, 410 communication unit, 420 control unit, 430 storage unit, 500 terminal device, 510 communication unit, 520 control unit, 530 display unit, 540 operation unit, 600 smart speaker, 1000 notification system.

Claims (4)

Obtaining air quality information including values of multiple components from one or more devices;
generating a graph showing the time variation of each component of the acquired air quality information;
and outputting the one graph generated to an outside.
acquiring values of the plurality of types of components that are included in the air quality information and are represented by physical quantities different from one another in the acquiring step;
The generating step includes:
converting the values of the components represented by different physical quantities into a common unit, and then generating the single graph showing the time change of each component;
The obtaining step includes:
The different physical quantities for each component are converted into levels for each component as dirt levels, and the levels are obtained.
The generating step includes:
converting the contamination level acquired at a predetermined interval for each component into the common unit of detection count, and integrating the detection count to derive an integrated value for a predetermined unit time that combines a plurality of the predetermined intervals, and generating a single graph showing a time change of the integrated value;
The program for converting the number of detections sets the number of detections to 0 if the dirt level acquired at the specified interval is 0, and sets the number of detections to 1 if the dirt level acquired at the specified interval is greater than 0. The multiple types of components include gas, dust, and PM2.5,
The program according to claim 1 , wherein the higher the detected values of gas, dust and PM2.5, the higher the contamination level of each of the detected values becomes. The acquiring step acquires the air quality information from each of a plurality of devices arranged in the same space,
2. The program according to claim 1 , wherein the generating step comprises: summarizing the air quality information obtained from each of the plurality of devices for each component; and then generating the single graph showing the change over time for each component. A computer that executes the program according to any one of claims 1 to 3 .

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